hack/tools/scripts/llm-key-hunter/results/_cache/content/chrisbetheking_job-claw.json

{"repo": "chrisbetheking/job-claw", "files": {"chrome-extension/common.js": {"779028be3432bbaf6737731db581e090428a0c0f": {"t": 1785745999.1421301, "n": 2718, "h": "262a34ca1f783821", "c": "export const DEFAULTS = {\n  config: {\n    executionMode: 'review',\n    batchStrategy: 'precise',\n    massApplyAnalysis: 'fast',\n    pacingPreset: 'standard',\n    dryRun: false,\n    dailyTarget: 30,\n    discoveryLimit: 150,\n    aiLimit: 0,\n    minScore: 75,\n    targetLocations: [],\n    employmentTypes: ['不限'],\n    experiences: [],\n    degrees: [],\n    salary: '不限',\n    sendResumeImage: true,\n    sendOnlineResume: false,\n    betweenJobsSeconds: 9,\n    attachmentDelaySeconds: 3,\n    maxPerCompanyPerDay: 3,\n    queueWarmup: 4,\n    maxConsecutiveFailures: 3,\n    jitterSeconds: 3,\n    companyVerificationEnabled: true,\n    companyVerificationProvider: 'bridge',\n    companyVerificationCacheDays: 14,\n    blockUnknownCompanies: false,\n    updateCheckEnabled: true,\n    dailyReportEnabled: true,\n    dailyReportTime: '20:30',\n    dailyReportNotification: true,\n    rateLimits: {\n      discoveryMs: 1000,\n      aiMs: 700,\n      companyMs: 1800,\n      deliveryMs: 9000,\n      attachmentMs: 3000,\n      updateMs: 5000\n    },\n    requireSingleJobValidation: true,\n    singleJobValidationCompletedAt: 0,\n    model: {\n      baseUrl: 'https://api.deepseek.com',\n      apiKey: '',\n      model: 'deepseek-v4-pro',\n      temperature: 0.1\n    }\n  },\n  profile: null,\n  profileDraft: null,\n  directionPlan: null,\n  resumeText: '',\n  resumeImage: null,\n  resumeSourceFile: null,\n  stats: {\n    date: '',\n    sent: 0,\n    discovered: 0,\n    analyzed: 0,\n    pending: 0,\n    failed: 0,\n    replied: 0,\n    interviews: 0,\n    verified: 0,\n    blocked: 0,\n    duplicates: 0,\n    simulated: 0\n  },\n  workflow: {\n    running: false,\n    paused: true,\n    phase: 'idle',\n    statusText: '未开始',\n    tasks: [],\n    taskIndex: 0,\n    cardIndex: 0,\n    processedKeys: [],\n    retries: 0,\n    currentJob: null,\n    returnUrl: '',\n    returnScrollY: 0,\n    pendingApplyId: null,\n    activeRunId: null\n  },\n  pending: [],\n  taskRuns: [],\n  events: [],\n  safetyState: {\n    lastActionAt: {},\n    consecutiveFailures: 0,\n    circuitOpen: false,\n    circuitReason: '',\n    circuitOpenedAt: 0,\n    totalThrottled: 0,\n    backoffLevel: 0,\n    lastBackoffReason: ''\n  },\n  companyVerificationCache: {},\n  deliveryHistory: [],\n  updateInfo: {\n    currentVersion: '1.7.0',\n    latestVersion: '',\n    available: false,\n    checkedAt: 0,\n    url: 'https://github.com/Chrisbetheking/job-claw/releases',\n    error: ''\n  }\n};\n\nexport const today = () => new Date().toISOString().slice(0, 10);\nexport const uniq = (items = []) => [...new Set(items.filter(Boolean))];\nexport const list = value => String(value || '')\n  .split(/[，,\\n]/)\n  .map(item => item.trim())\n  .filter(Boolean);\nexport const safeClone = value => JSON.parse(JSON.stringify(value ?? null));\n"}, "1717e3d1c43b3d2df618a2320c9d66a2182ce7ee": {"t": 1785758650.7267165, "n": 2718, "h": "262a34ca1f783821", "c": "export const DEFAULTS = {\n  config: {\n    executionMode: 'review',\n    batchStrategy: 'precise',\n    massApplyAnalysis: 'fast',\n    pacingPreset: 'standard',\n    dryRun: false,\n    dailyTarget: 30,\n    discoveryLimit: 150,\n    aiLimit: 0,\n    minScore: 75,\n    targetLocations: [],\n    employmentTypes: ['不限'],\n    experiences: [],\n    degrees: [],\n    salary: '不限',\n    sendResumeImage: true,\n    sendOnlineResume: false,\n    betweenJobsSeconds: 9,\n    attachmentDelaySeconds: 3,\n    maxPerCompanyPerDay: 3,\n    queueWarmup: 4,\n    maxConsecutiveFailures: 3,\n    jitterSeconds: 3,\n    companyVerificationEnabled: true,\n    companyVerificationProvider: 'bridge',\n    companyVerificationCacheDays: 14,\n    blockUnknownCompanies: false,\n    updateCheckEnabled: true,\n    dailyReportEnabled: true,\n    dailyReportTime: '20:30',\n    dailyReportNotification: true,\n    rateLimits: {\n      discoveryMs: 1000,\n      aiMs: 700,\n      companyMs: 1800,\n      deliveryMs: 9000,\n      attachmentMs: 3000,\n      updateMs: 5000\n    },\n    requireSingleJobValidation: true,\n    singleJobValidationCompletedAt: 0,\n    model: {\n      baseUrl: 'https://api.deepseek.com',\n      apiKey: '',\n      model: 'deepseek-v4-pro',\n      temperature: 0.1\n    }\n  },\n  profile: null,\n  profileDraft: null,\n  directionPlan: null,\n  resumeText: '',\n  resumeImage: null,\n  resumeSourceFile: null,\n  stats: {\n    date: '',\n    sent: 0,\n    discovered: 0,\n    analyzed: 0,\n    pending: 0,\n    failed: 0,\n    replied: 0,\n    interviews: 0,\n    verified: 0,\n    blocked: 0,\n    duplicates: 0,\n    simulated: 0\n  },\n  workflow: {\n    running: false,\n    paused: true,\n    phase: 'idle',\n    statusText: '未开始',\n    tasks: [],\n    taskIndex: 0,\n    cardIndex: 0,\n    processedKeys: [],\n    retries: 0,\n    currentJob: null,\n    returnUrl: '',\n    returnScrollY: 0,\n    pendingApplyId: null,\n    activeRunId: null\n  },\n  pending: [],\n  taskRuns: [],\n  events: [],\n  safetyState: {\n    lastActionAt: {},\n    consecutiveFailures: 0,\n    circuitOpen: false,\n    circuitReason: '',\n    circuitOpenedAt: 0,\n    totalThrottled: 0,\n    backoffLevel: 0,\n    lastBackoffReason: ''\n  },\n  companyVerificationCache: {},\n  deliveryHistory: [],\n  updateInfo: {\n    currentVersion: '1.7.0',\n    latestVersion: '',\n    available: false,\n    checkedAt: 0,\n    url: 'https://github.com/Chrisbetheking/job-claw/releases',\n    error: ''\n  }\n};\n\nexport const today = () => new Date().toISOString().slice(0, 10);\nexport const uniq = (items = []) => [...new Set(items.filter(Boolean))];\nexport const list = value => String(value || '')\n  .split(/[，,\\n]/)\n  .map(item => item.trim())\n  .filter(Boolean);\nexport const safeClone = value => JSON.parse(JSON.stringify(value ?? null));\n"}, "76f53ebdeadb5fe589927cbed2ecce55fc037ed5": {"t": 1785758652.0677931, "n": 1539, "h": "a54180f769ff90d1", "c": "export const DEFAULTS = {\n  config: {\n    executionMode: 'review',\n    dailyTarget: 150,\n    discoveryLimit: 0,\n    aiLimit: 0,\n    minScore: 75,\n    targetLocations: [],\n    employmentTypes: ['不限'],\n    experiences: [],\n    degrees: [],\n    salary: '不限',\n    sendResumeImage: true,\n    sendOnlineResume: false,\n    betweenJobsSeconds: 12,\n    attachmentDelaySeconds: 4,\n    requireSingleJobValidation: true,\n    singleJobValidationCompletedAt: 0,\n    model: {\n      baseUrl: 'https://api.deepseek.com',\n      apiKey: '',\n      model: 'deepseek-v4-pro',\n      temperature: 0.1\n    }\n  },\n  profile: null,\n  profileDraft: null,\n  directionPlan: null,\n  resumeText: '',\n  resumeImage: null,\n  resumeSourceFile: null,\n  stats: {\n    date: '',\n    sent: 0,\n    discovered: 0,\n    analyzed: 0,\n    pending: 0,\n    failed: 0,\n    replied: 0,\n    interviews: 0\n  },\n  workflow: {\n    running: false,\n    paused: true,\n    phase: 'idle',\n    statusText: '未开始',\n    tasks: [],\n    taskIndex: 0,\n    cardIndex: 0,\n    processedKeys: [],\n    retries: 0,\n    currentJob: null,\n    returnUrl: '',\n    returnScrollY: 0,\n    pendingApplyId: null,\n    activeRunId: null\n  },\n  pending: [],\n  taskRuns: [],\n  events: []\n};\n\nexport const today = () => new Date().toISOString().slice(0, 10);\nexport const uniq = (items = []) => [...new Set(items.filter(Boolean))];\nexport const list = value => String(value || '')\n  .split(/[，,\\n]/)\n  .map(item => item.trim())\n  .filter(Boolean);\nexport const safeClone = value => JSON.parse(JSON.stringify(value ?? null));\n"}, "7e303eedb66fd66f0fe17c3e1630a2b248a4d214": {"t": 1785758653.241241, "n": 1462, "h": "4b6a8ffd48891280", "c": "export const DEFAULTS = {\n  config: {\n    executionMode: 'review',\n    dailyTarget: 150,\n    discoveryLimit: 0,\n    aiLimit: 0,\n    minScore: 75,\n    targetLocations: [],\n    employmentTypes: ['不限'],\n    experiences: [],\n    degrees: [],\n    salary: '不限',\n    sendResumeImage: true,\n    sendOnlineResume: false,\n    betweenJobsSeconds: 12,\n    attachmentDelaySeconds: 4,\n    model: {\n      baseUrl: 'https://api.deepseek.com',\n      apiKey: '',\n      model: 'deepseek-v4-pro',\n      temperature: 0.1\n    }\n  },\n  profile: null,\n  profileDraft: null,\n  directionPlan: null,\n  resumeText: '',\n  resumeImage: null,\n  resumeSourceFile: null,\n  stats: {\n    date: '',\n    sent: 0,\n    discovered: 0,\n    analyzed: 0,\n    pending: 0,\n    failed: 0,\n    replied: 0,\n    interviews: 0\n  },\n  workflow: {\n    running: false,\n    paused: true,\n    phase: 'idle',\n    statusText: '未开始',\n    tasks: [],\n    taskIndex: 0,\n    cardIndex: 0,\n    processedKeys: [],\n    retries: 0,\n    currentJob: null,\n    returnUrl: '',\n    returnScrollY: 0,\n    pendingApplyId: null,\n    activeRunId: null\n  },\n  pending: [],\n  taskRuns: [],\n  events: []\n};\n\nexport const today = () => new Date().toISOString().slice(0, 10);\nexport const uniq = (items = []) => [...new Set(items.filter(Boolean))];\nexport const list = value => String(value || '')\n  .split(/[，,\\n]/)\n  .map(item => item.trim())\n  .filter(Boolean);\nexport const safeClone = value => JSON.parse(JSON.stringify(value ?? null));\n"}, "50acc0b6102f67c00c1ef1ce8cd500e3a9386a31": {"t": 1786067531.7415376, "n": 2718, "h": "262a34ca1f783821", "c": "export const DEFAULTS = {\n  config: {\n    executionMode: 'review',\n    batchStrategy: 'precise',\n    massApplyAnalysis: 'fast',\n    pacingPreset: 'standard',\n    dryRun: false,\n    dailyTarget: 30,\n    discoveryLimit: 150,\n    aiLimit: 0,\n    minScore: 75,\n    targetLocations: [],\n    employmentTypes: ['不限'],\n    experiences: [],\n    degrees: [],\n    salary: '不限',\n    sendResumeImage: true,\n    sendOnlineResume: false,\n    betweenJobsSeconds: 9,\n    attachmentDelaySeconds: 3,\n    maxPerCompanyPerDay: 3,\n    queueWarmup: 4,\n    maxConsecutiveFailures: 3,\n    jitterSeconds: 3,\n    companyVerificationEnabled: true,\n    companyVerificationProvider: 'bridge',\n    companyVerificationCacheDays: 14,\n    blockUnknownCompanies: false,\n    updateCheckEnabled: true,\n    dailyReportEnabled: true,\n    dailyReportTime: '20:30',\n    dailyReportNotification: true,\n    rateLimits: {\n      discoveryMs: 1000,\n      aiMs: 700,\n      companyMs: 1800,\n      deliveryMs: 9000,\n      attachmentMs: 3000,\n      updateMs: 5000\n    },\n    requireSingleJobValidation: true,\n    singleJobValidationCompletedAt: 0,\n    model: {\n      baseUrl: 'https://api.deepseek.com',\n      apiKey: '',\n      model: 'deepseek-v4-pro',\n      temperature: 0.1\n    }\n  },\n  profile: null,\n  profileDraft: null,\n  directionPlan: null,\n  resumeText: '',\n  resumeImage: null,\n  resumeSourceFile: null,\n  stats: {\n    date: '',\n    sent: 0,\n    discovered: 0,\n    analyzed: 0,\n    pending: 0,\n    failed: 0,\n    replied: 0,\n    interviews: 0,\n    verified: 0,\n    blocked: 0,\n    duplicates: 0,\n    simulated: 0\n  },\n  workflow: {\n    running: false,\n    paused: true,\n    phase: 'idle',\n    statusText: '未开始',\n    tasks: [],\n    taskIndex: 0,\n    cardIndex: 0,\n    processedKeys: [],\n    retries: 0,\n    currentJob: null,\n    returnUrl: '',\n    returnScrollY: 0,\n    pendingApplyId: null,\n    activeRunId: null\n  },\n  pending: [],\n  taskRuns: [],\n  events: [],\n  safetyState: {\n    lastActionAt: {},\n    consecutiveFailures: 0,\n    circuitOpen: false,\n    circuitReason: '',\n    circuitOpenedAt: 0,\n    totalThrottled: 0,\n    backoffLevel: 0,\n    lastBackoffReason: ''\n  },\n  companyVerificationCache: {},\n  deliveryHistory: [],\n  updateInfo: {\n    currentVersion: '1.7.0',\n    latestVersion: '',\n    available: false,\n    checkedAt: 0,\n    url: 'https://github.com/Chrisbetheking/job-claw/releases',\n    error: ''\n  }\n};\n\nexport const today = () => new Date().toISOString().slice(0, 10);\nexport const uniq = (items = []) => [...new Set(items.filter(Boolean))];\nexport const list = value => String(value || '')\n  .split(/[，,\\n]/)\n  .map(item => item.trim())\n  .filter(Boolean);\nexport const safeClone = value => JSON.parse(JSON.stringify(value ?? null));\n"}}, "chrome-extension/background.js": {"779028be3432bbaf6737731db581e090428a0c0f": {"t": 1785746566.6769588, "n": 157588, "h": "b62afbe9c8346314", "c": "import { DEFAULTS, safeClone, today, uniq } from './common.js';\nimport { normalizeConversationIdentity, deriveConversationReservationKey, sameRecruiterReservation } from './lib/conversation-identity.js';\nimport { TERMINAL_RUN_STATUSES, taskStageMeta } from './lib/task-state.js';\nimport { rerankPending } from './lib/job-priority.js';\nimport { computeRateLimitDecision, evaluateStrategy, normalizeStrategy, recordRateAction, recordSafetyOutcome, resetSafetyCircuit, strictHardBlocks } from './lib/safety-control.js';\nimport { companyCacheKey, companyVerificationExpired, heuristicCompanyVerification, mergeCompanyVerification } from './lib/company-verifier.js';\nimport { createHistoryEntry, findDuplicate } from './lib/deduplication.js';\nimport { normalizeRelease } from './lib/update-checker.js';\n\nconst BRIDGE_ENDPOINTS = ['http://127.0.0.1:17899', 'http://localhost:17899'];\nconst NATIVE_BRIDGE_HOST = 'com.jobclaw.bridge';\nlet lastBridgeSnapshotAt = 0;\nlet bridgeUnavailableUntil = 0;\nlet bridgeLastError = '';\nconst EXPECTED_CONTENT_VERSION = '1.7.0';\nconst CONTENT_SCRIPT_FILE = 'content-v37.js';\nconst storage = {\n  get: keys => chrome.storage.local.get(keys),\n  all: () => chrome.storage.local.get(null),\n  set: patch => chrome.storage.local.set(patch)\n};\n\nconst debuggerLocks = new Map();\n\nconst OFFSCREEN_DOCUMENT_PATH = 'offscreen.html';\nlet offscreenCreation = null;\n\nasync function ensureClipboardOffscreen() {\n  if (!chrome.offscreen?.createDocument) return false;\n  const url = chrome.runtime.getURL(OFFSCREEN_DOCUMENT_PATH);\n  if (chrome.runtime.getContexts) {\n    const contexts = await chrome.runtime.getContexts({\n      contextTypes: ['OFFSCREEN_DOCUMENT'],\n      documentUrls: [url]\n    }).catch(() => []);\n    if (contexts?.length) return true;\n  }\n  if (!offscreenCreation) {\n    offscreenCreation = chrome.offscreen.createDocument({\n      url: OFFSCREEN_DOCUMENT_PATH,\n      reasons: ['CLIPBOARD'],\n      justification: '将求职招呼语以真实粘贴方式写入 BOSS 聊天编辑器'\n    }).then(() => true).catch(error => {\n      const message = String(error?.message || error || '');\n      if (/single offscreen|already exists|existing offscreen/i.test(message)) return true;\n      throw error;\n    }).finally(() => { offscreenCreation = null; });\n  }\n  return offscreenCreation;\n}\n\nasync function writeClipboardText(text) {\n  const value = String(text || '');\n  if (!value) return false;\n  try {\n    const ready = await ensureClipboardOffscreen();\n    if (!ready) return false;\n    const response = await chrome.runtime.sendMessage({ type: 'JOBCLAW_CLIPBOARD_WRITE', text: value });\n    return response?.ok === true;\n  } catch {\n    return false;\n  }\n}\n\nfunction validPoint(point) {\n  const x = Number(point?.x);\n  const y = Number(point?.y);\n  if (!Number.isFinite(x) || !Number.isFinite(y) || x < 0 || y < 0) {\n    throw new Error('聊天输入坐标无效');\n  }\n  return { x, y };\n}\n\nasync function debuggerBringToFront(target) {\n  await chrome.debugger.sendCommand(target, 'Page.bringToFront').catch(() => {});\n  await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression: 'window.focus(); true',\n    returnByValue: true\n  }).catch(() => {});\n}\n\nasync function debuggerNodeAtPoint(target, point) {\n  const { x, y } = validPoint(point);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getNodeForLocation', {\n    x, y,\n    includeUserAgentShadowDOM: true,\n    ignorePointerEventsNone: true\n  }).catch(() => null);\n  return {\n    nodeId: Number(result?.nodeId || 0),\n    backendNodeId: Number(result?.backendNodeId || 0),\n    frameId: String(result?.frameId || '')\n  };\n}\n\nasync function debuggerResolveNodeObject(target, node = {}) {\n  const args = {};\n  if (Number(node.nodeId || 0)) args.nodeId = Number(node.nodeId);\n  else if (Number(node.backendNodeId || 0)) args.backendNodeId = Number(node.backendNodeId);\n  else return '';\n  const resolved = await chrome.debugger.sendCommand(target, 'DOM.resolveNode', args).catch(() => null);\n  return String(resolved?.object?.objectId || '');\n}\n\nasync function debuggerReadObjectText(target, objectId = '') {\n  if (!objectId) return '';\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      if ('value' in this && !this.isContentEditable) return String(this.value || '');\n      return String(this.innerText || this.textContent || '');\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerReadNodeText(target, node = {}) {\n  const objectId = await debuggerResolveNodeObject(target, node);\n  return debuggerReadObjectText(target, objectId);\n}\n\nasync function debuggerFindEditableObject(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  const point = validPoint(message.point);\n  const expression = `(() => {\n    const exactSelector = ${JSON.stringify(selector)};\n    const point = ${JSON.stringify(point)};\n    const editableSelector = 'textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]';\n    const isEditable = node => {\n      if (!node || node.nodeType !== 1) return false;\n      const tag = String(node.tagName || '').toLowerCase();\n      if (tag === 'textarea') return true;\n      if (tag === 'input') {\n        const type = String(node.getAttribute('type') || 'text').toLowerCase();\n        return ['text', 'search', ''].includes(type);\n      }\n      const mode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n      return node.isContentEditable\n        || Boolean(mode && !['false', 'inherit', 'off'].includes(mode))\n        || node.getAttribute('role') === 'textbox'\n        || node.getAttribute('data-slate-editor') === 'true'\n        || node.getAttribute('data-lexical-editor') === 'true';\n    };\n    const deepQuery = (root, query) => {\n      if (!root) return null;\n      try {\n        const direct = root.querySelector?.(query);\n        if (direct) return direct;\n      } catch {}\n      let elements = [];\n      try { elements = [...(root.querySelectorAll?.('*') || [])]; } catch {}\n      for (const element of elements) {\n        if (element.shadowRoot) {\n          const found = deepQuery(element.shadowRoot, query);\n          if (found) return found;\n        }\n      }\n      return null;\n    };\n    const nearestEditable = node => {\n      let current = node;\n      for (let depth = 0; current && depth < 16; depth += 1) {\n        if (isEditable(current)) return current;\n        let nested = null;\n        try { nested = current.querySelector?.(editableSelector); } catch {}\n        if (nested && isEditable(nested)) return nested;\n        const root = current.getRootNode?.();\n        current = current.parentElement || (root && root.host) || null;\n      }\n      return null;\n    };\n    let node = exactSelector ? deepQuery(document, exactSelector) : null;\n    node = nearestEditable(node) || node;\n    if (!isEditable(node)) {\n      let pointNode = null;\n      try { pointNode = document.elementFromPoint(point.x, point.y); } catch {}\n      node = nearestEditable(pointNode);\n    }\n    if (!isEditable(node)) return null;\n    try { node.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n    try { node.focus({ preventScroll: true }); } catch { try { node.focus(); } catch {} }\n    if (node.isContentEditable) {\n      try {\n        const selection = window.getSelection();\n        const range = document.createRange();\n        range.selectNodeContents(node);\n        range.collapse(false);\n        selection.removeAllRanges();\n        selection.addRange(range);\n      } catch {}\n    }\n    return node;\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: false,\n    awaitPromise: false,\n    includeCommandLineAPI: false\n  }).catch(() => null);\n  const objectId = String(result?.result?.objectId || '');\n  if (!objectId) return { objectId: '', nodeId: 0, point, selector };\n  const requested = await chrome.debugger.sendCommand(target, 'DOM.requestNode', { objectId }).catch(() => null);\n  const nodeId = Number(requested?.nodeId || 0);\n  return { objectId, nodeId, point, selector };\n}\n\nasync function debuggerFocusObject(target, objectId = '') {\n  if (!objectId) return null;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      try { this.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n      try { this.focus({ preventScroll: true }); } catch { try { this.focus(); } catch {} }\n      if (this.isContentEditable) {\n        try {\n          const selection = window.getSelection();\n          const range = document.createRange();\n          range.selectNodeContents(this);\n          range.collapse(false);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        } catch {}\n      }\n      const rect = this.getBoundingClientRect();\n      return { left: rect.left, top: rect.top, width: rect.width, height: rect.height, tag: this.tagName || '', id: this.id || '' };\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return result?.result?.value || null;\n}\n\nasync function debuggerPasteClipboard(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4,\n    commands: ['Paste']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4\n  });\n}\n\nasync function withTabDebugger(tabId, operation) {\n  if (!Number.isInteger(Number(tabId))) throw new Error('无法确定当前 BOSS 标签页');\n  const id = Number(tabId);\n  const previous = debuggerLocks.get(id) || Promise.resolve();\n  let release;\n  const current = new Promise(resolve => { release = resolve; });\n  const queueEntry = previous.then(() => current);\n  debuggerLocks.set(id, queueEntry);\n  await previous;\n  const target = { tabId: id };\n  let attached = false;\n  try {\n    await chrome.debugger.attach(target, '1.3');\n    attached = true;\n    await debuggerBringToFront(target);\n    return await operation(target);\n  } catch (error) {\n    const message = String(error?.message || error || '');\n    if (/Another debugger is already attached|Cannot attach to this target|DevTools/i.test(message)) {\n      throw new Error('Chrome 调试通道正被 DevTools 或其他工具占用，请关闭该 BOSS 页面的开发者工具后重试');\n    }\n    throw error;\n  } finally {\n    if (attached) await chrome.debugger.detach(target).catch(() => {});\n    release?.();\n    if (debuggerLocks.get(id) === queueEntry) debuggerLocks.delete(id);\n  }\n}\n\nasync function debuggerMouseClick(target, point) {\n  const { x, y } = validPoint(point);\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseMoved', x, y, button: 'none', buttons: 0\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mousePressed', x, y, button: 'left', buttons: 1, clickCount: 1\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseReleased', x, y, button: 'left', buttons: 0, clickCount: 1\n  });\n}\n\nasync function debuggerDocumentNode(target) {\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getDocument', {\n    depth: -1,\n    pierce: true\n  });\n  const nodeId = Number(result?.root?.nodeId || 0);\n  if (!nodeId) throw new Error('无法读取当前 BOSS 页面 DOM');\n  return nodeId;\n}\n\nasync function debuggerNodeBySelector(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return 0;\n  const rootNodeId = await debuggerDocumentNode(target);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.querySelector', {\n    nodeId: rootNodeId,\n    selector: normalized\n  });\n  return Number(result?.nodeId || 0);\n}\n\nasync function debuggerFocusTarget(target, message = {}) {\n  await debuggerBringToFront(target);\n\n  // 必须优先锁定 content script 临时标记的真实编辑节点。旧版先取坐标节点，\n  // BOSS 页面上经常命中编辑器外壳/透明层，导致看似有光标但文字没有进入编辑器。\n  const exact = await debuggerFindEditableObject(target, message).catch(() => ({ objectId: '', nodeId: 0 }));\n  if (exact.objectId) {\n    const rect = await debuggerFocusObject(target, exact.objectId);\n    if (rect && Number(rect.width) > 0 && Number(rect.height) > 0) {\n      const clickPoint = {\n        x: Math.round(Number(rect.left) + Math.max(8, Math.min(Number(rect.width) - 8, Number(rect.width) * 0.5))),\n        y: Math.round(Number(rect.top) + Math.max(8, Math.min(Number(rect.height) - 8, Number(rect.height) * 0.5)))\n      };\n      await debuggerMouseClick(target, clickPoint).catch(() => {});\n      await debuggerFocusObject(target, exact.objectId);\n      return { method: 'exact-selector-object-focus+click', ...exact, point: clickPoint, rect };\n    }\n    return { method: 'exact-selector-object-focus', ...exact, rect };\n  }\n\n  const pointNode = await debuggerNodeAtPoint(target, message.point).catch(() => ({ nodeId: 0, backendNodeId: 0 }));\n  if (pointNode.nodeId || pointNode.backendNodeId) {\n    const args = pointNode.nodeId ? { nodeId: pointNode.nodeId } : { backendNodeId: pointNode.backendNodeId };\n    await chrome.debugger.sendCommand(target, 'DOM.focus', args).catch(() => {});\n    await debuggerMouseClick(target, message.point).catch(() => {});\n    const objectId = await debuggerResolveNodeObject(target, pointNode).catch(() => '');\n    return { method: 'point-node-focus+click', ...pointNode, objectId };\n  }\n\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0, objectId: '' };\n}\n\nasync function debuggerClickTarget(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  if (selector) {\n    const nodeId = await debuggerNodeBySelector(target, selector);\n    if (nodeId) {\n      await chrome.debugger.sendCommand(target, 'DOM.scrollIntoViewIfNeeded', { nodeId }).catch(() => {});\n      const model = await chrome.debugger.sendCommand(target, 'DOM.getBoxModel', { nodeId });\n      const quad = model?.model?.content || model?.model?.border || [];\n      if (Array.isArray(quad) && quad.length >= 8) {\n        const xs = [quad[0], quad[2], quad[4], quad[6]].map(Number);\n        const ys = [quad[1], quad[3], quad[5], quad[7]].map(Number);\n        await debuggerMouseClick(target, {\n          x: xs.reduce((sum, value) => sum + value, 0) / xs.length,\n          y: ys.reduce((sum, value) => sum + value, 0) / ys.length\n        });\n        return { method: 'dom-box-click', nodeId };\n      }\n    }\n  }\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0 };\n}\n\nasync function debuggerReadTargetText(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return '';\n  const expression = `(() => {\n    const element = document.querySelector(${JSON.stringify(normalized)});\n    if (!element) return '';\n    if ('value' in element) return String(element.value || '');\n    return String(element.innerText || element.textContent || '');\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: true,\n    awaitPromise: false\n  });\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerSelectAll(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4, commands: ['SelectAll']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4\n  });\n}\n\nasync function debuggerPressEnter(target) {\n  // 与 Selenium/Playwright 的真实 Enter 等价：rawKeyDown 携带回车文本后再 keyUp。\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13, text: '\\r', unmodifiedText: '\\r'\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13\n  });\n}\n\nasync function debuggerTypeText(target, text) {\n  const value = String(text || '');\n  for (const character of value) {\n    await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n      type: 'char',\n      text: character,\n      unmodifiedText: character\n    });\n    await new Promise(resolve => setTimeout(resolve, 12));\n  }\n}\n\nasync function mainWorldWriteChatText(tabId, selector, text) {\n  const normalizedSelector = String(selector || '').trim();\n  const desired = String(text || '');\n  if (!normalizedSelector || !desired.trim()) throw new Error('聊天输入目标或招呼语为空');\n  const results = await chrome.scripting.executeScript({\n    target: { tabId: Number(tabId) },\n    world: 'MAIN',\n    func: (exactSelector, nextText) => {\n      const normalizeText = value => String(value || '').replace(/\\s+/g, '').trim();\n      const isEditable = node => {\n        if (!node || typeof node.matches !== 'function') return false;\n        const tag = String(node.tagName || '').toLowerCase();\n        if (tag === 'textarea') return true;\n        if (tag === 'input') {\n          const type = String(node.getAttribute('type') || 'text').toLowerCase();\n          return ['text', 'search', ''].includes(type);\n        }\n        const editableMode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n        return node.isContentEditable\n          || Boolean(editableMode && !['false', 'inherit', 'off'].includes(editableMode))\n          || node.getAttribute('role') === 'textbox'\n          || node.getAttribute('data-slate-editor') === 'true'\n          || node.getAttribute('data-lexical-editor') === 'true';\n      };\n      const deepQuery = (rootNode, query) => {\n        if (!rootNode) return null;\n        try {\n          const direct = rootNode.querySelector?.(query);\n          if (direct) return direct;\n        } catch {}\n        let elements = [];\n        try { elements = [...(rootNode.querySelectorAll?.('*') || [])]; } catch {}\n        for (const element of elements) {\n          if (element.shadowRoot) {\n            const found = deepQuery(element.shadowRoot, query);\n            if (found) return found;\n          }\n        }\n        return null;\n      };\n      const root = deepQuery(document, exactSelector);\n      if (!root) return { ok: false, reason: 'selector-not-found' };\n      const editor = isEditable(root)\n        ? root\n        : [...root.querySelectorAll('textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]')].find(isEditable);\n      if (!editor) return { ok: false, reason: 'editable-not-found', rootTag: String(root.tagName || '') };\n\n      const readValue = () => {\n        if ('value' in editor && !editor.isContentEditable) return String(editor.value || '');\n        return String(editor.innerText || editor.textContent || '');\n      };\n      const dispatchInput = (inputType, data) => {\n        try {\n          editor.dispatchEvent(new InputEvent('input', {\n            bubbles: true,\n            cancelable: false,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          editor.dispatchEvent(new Event('input', { bubbles: true, composed: true }));\n        }\n      };\n      const dispatchBeforeInput = (inputType, data) => {\n        try {\n          return editor.dispatchEvent(new InputEvent('beforeinput', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          return true;\n        }\n      };\n\n      editor.scrollIntoView?.({ block: 'nearest', inline: 'nearest', behavior: 'instant' });\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const previous = readValue();\n      const tag = String(editor.tagName || '').toLowerCase();\n      let method = '';\n\n      if ((tag === 'textarea' || tag === 'input') && 'value' in editor) {\n        const proto = tag === 'textarea' ? HTMLTextAreaElement.prototype : HTMLInputElement.prototype;\n        const setter = Object.getOwnPropertyDescriptor(proto, 'value')?.set;\n        dispatchBeforeInput('deleteByCut', null);\n        if (setter) setter.call(editor, ''); else editor.value = '';\n        dispatchInput('deleteByCut', null);\n        const tracker = editor._valueTracker;\n        if (tracker?.setValue) tracker.setValue(previous);\n        dispatchBeforeInput('insertText', nextText);\n        if (setter) setter.call(editor, nextText); else editor.value = nextText;\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        method = 'main-native-value-setter';\n      } else {\n        const selection = window.getSelection?.();\n        if (selection && document.createRange) {\n          const range = document.createRange();\n          range.selectNodeContents(editor);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        }\n        dispatchBeforeInput('deleteContentBackward', null);\n        let inserted = false;\n        try {\n          const transfer = new DataTransfer();\n          transfer.setData('text/plain', nextText);\n          const pasteEvent = new ClipboardEvent('paste', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            clipboardData: transfer\n          });\n          editor.dispatchEvent(pasteEvent);\n          inserted = normalizeText(readValue()).includes(normalizeText(nextText));\n        } catch {\n          inserted = false;\n        }\n        if (!inserted) {\n          try {\n            inserted = Boolean(document.execCommand?.('insertText', false, nextText));\n          } catch {\n            inserted = false;\n          }\n        }\n        if (!inserted || !normalizeText(readValue()).includes(normalizeText(nextText))) {\n          try {\n            editor.replaceChildren(document.createTextNode(nextText));\n          } catch {\n            editor.textContent = nextText;\n          }\n        }\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        try {\n          editor.dispatchEvent(new CompositionEvent('compositionend', { bubbles: true, composed: true, data: nextText }));\n        } catch {}\n        method = inserted ? 'main-exec-command' : 'main-contenteditable-replace';\n      }\n\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const actual = readValue();\n      const compactExpected = normalizeText(nextText);\n      const compactActual = normalizeText(actual);\n      return {\n        ok: Boolean(compactActual && compactActual.includes(compactExpected)),\n        method,\n        actual,\n        tag,\n        id: String(editor.id || ''),\n        className: String(editor.className || '').slice(0, 180),\n        contenteditable: String(editor.getAttribute?.('contenteditable') || ''),\n        role: String(editor.getAttribute?.('role') || '')\n      };\n    },\n    args: [normalizedSelector, desired]\n  });\n  return results?.[0]?.result || { ok: false, reason: 'main-world-no-result' };\n}\n\nasync function trustedChatInput(tabId, message = {}) {\n  const action = String(message.action || '');\n  if (action === 'replaceText' || action === 'replaceTextAndEnter') {\n    const text = String(message.text || '');\n    if (!text.trim()) throw new Error('待输入的招呼语为空');\n    const compactExpected = text.replace(/\\s+/g, '');\n\n    // 写入和 Enter 必须在同一次 debugger 会话、同一个精确编辑节点上完成。\n    // 这是 Selenium sendKeys / Playwright locator.type + Enter 的同类浏览器级路径，\n    // 避免旧版“聚焦了外壳、文字没有进入真实编辑器”的问题。\n    return withTabDebugger(tabId, async target => {\n      let focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n\n      const readExact = async () => debuggerReadObjectText(target, focus.objectId);\n      const refocus = async () => {\n        const refreshed = await debuggerFocusTarget(target, message);\n        if (refreshed.objectId) focus = refreshed;\n        if (!focus.objectId) throw new Error('BOSS 聊天编辑节点已失效');\n        return focus;\n      };\n      const matches = value => {\n        const compact = String(value || '').replace(/\\s+/g, '');\n        return Boolean(compact && (compact === compactExpected || compact.includes(compactExpected)));\n      };\n\n      let actual = '';\n      let writeMethod = '';\n\n      // 1) 精确对象聚焦后使用 CDP Input.insertText，最接近真实键盘输入。\n      await debuggerSelectAll(target);\n      await chrome.debugger.sendCommand(target, 'Input.insertText', { text });\n      await new Promise(resolve => setTimeout(resolve, 700));\n      actual = await readExact();\n      writeMethod = 'exact-cdp-insert-text';\n\n      // 2) 某些富文本编辑器只响应原生 paste。\n      if (!matches(actual) && await writeClipboardText(text)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerPasteClipboard(target);\n        await new Promise(resolve => setTimeout(resolve, 900));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-clipboard-paste';\n      }\n\n      // 3) React/Vue 受控编辑器可能需要主世界 setter/beforeinput/input。\n      if (!matches(actual)) {\n        const mainWrite = await mainWorldWriteChatText(tabId, message.selector, text).catch(error => ({\n          ok: false,\n          reason: String(error?.message || error || 'main-world-write-failed')\n        }));\n        await refocus();\n        await new Promise(resolve => setTimeout(resolve, 650));\n        actual = await readExact();\n        writeMethod = mainWrite?.method || 'main-world-write';\n      }\n\n      // 4) 最后兜底为逐字符可信键盘输入，仍锁定同一个真实节点。\n      if (!matches(actual)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerTypeText(target, text);\n        await new Promise(resolve => setTimeout(resolve, 1000));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-keyboard-type';\n      }\n\n      if (!matches(actual)) {\n        throw new Error(`文字没有进入 BOSS 真实聊天编辑器；实际长度=${String(actual || '').length}`);\n      }\n\n      if (action === 'replaceTextAndEnter') {\n        await refocus();\n        // 给 BOSS 受控状态一次提交渲染机会，再发送真实 Enter。\n        await new Promise(resolve => setTimeout(resolve, 520));\n        await debuggerPressEnter(target);\n      }\n\n      return {\n        ok: true,\n        action,\n        length: text.length,\n        insertedBeforeSend: true,\n        writeMethod,\n        actualLength: String(actual || '').length,\n        focusMethod: focus.method,\n        editor: {\n          nodeId: Number(focus.nodeId || 0),\n          selector: String(message.selector || '')\n        }\n      };\n    });\n  }\n\n  return withTabDebugger(tabId, async target => {\n    if (action === 'pressEnter') {\n      const focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n      await new Promise(resolve => setTimeout(resolve, 320));\n      await debuggerPressEnter(target);\n      return { ok: true, action, focusMethod: focus.method };\n    }\n    if (action === 'click') {\n      const click = await debuggerClickTarget(target, message);\n      return { ok: true, action, clickMethod: click.method };\n    }\n    throw new Error('不支持的可信输入动作');\n  });\n}\n\nasync function init() {\n  const current = await storage.all();\n  const patch = {};\n  for (const [key, value] of Object.entries(DEFAULTS)) {\n    if (current[key] === undefined) patch[key] = value;\n  }\n  if (!current.ui9ModeMigration) {\n    const currentConfig = current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...currentConfig,\n      executionMode: currentConfig.executionMode === 'auto' ? 'auto' : 'review',\n      dailyTarget: Number(currentConfig.dailyTarget || 0) === 40 ? 150 : Number(currentConfig.dailyTarget || 150)\n    };\n    patch.ui9ModeMigration = true;\n  }\n  if (!current.ui10UnlimitedV4Migration) {\n    const baseConfig = patch.config || current.config || {};\n    const baseModel = { ...DEFAULTS.config.model, ...(baseConfig.model || {}) };\n    const baseUrl = String(baseModel.baseUrl || DEFAULTS.config.model.baseUrl);\n    const modelName = String(baseModel.model || '').trim();\n    const isDeepSeek = /deepseek\\.com/i.test(baseUrl);\n    const legacyDeepSeekModel = !modelName || ['deepseek-chat', 'deepseek-reasoner', 'deepseek-v4'].includes(modelName);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      discoveryLimit: 0,\n      model: {\n        ...baseModel,\n        model: isDeepSeek && legacyDeepSeekModel ? 'deepseek-v4-pro' : (modelName || 'deepseek-v4-pro')\n      }\n    };\n    patch.ui10UnlimitedV4Migration = true;\n  }\n  if (!current.ui20ReliableSendMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(8, Math.min(30, Number(baseConfig.betweenJobsSeconds || 8))),\n      attachmentDelaySeconds: Math.max(1, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 2)))\n    };\n    patch.ui20ReliableSendMigration = true;\n  }\n  if (!current.ui21ConversationBindingMigration) {\n    patch.chatTransition = null;\n    patch.chatDeliveryLedger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object'\n      ? current.chatDeliveryLedger\n      : {};\n    patch.ui21ConversationBindingMigration = true;\n  }\n  if (!current.ui22StrictTranscriptMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(12, Math.min(30, Number(baseConfig.betweenJobsSeconds || 12))),\n      attachmentDelaySeconds: Math.max(4, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 4)))\n    };\n    patch.ui22StrictTranscriptMigration = true;\n  }\n  if (!current.ui24VerifiedConversationMigration) {\n    patch.chatTransition = null;\n    patch.ui24VerifiedConversationMigration = true;\n  }\n  if (!current.ui27TrustedInputMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      phase: 'idle',\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '可信发送引擎已升级，请重新开始任务'\n    };\n    patch.chatTransition = null;\n    patch.ui27TrustedInputMigration = true;\n  }\n  if (!current.ui12ProfileDraftMigration) {\n    let migratedProfile = current.profile && typeof current.profile === 'object' ? current.profile : null;\n    let migratedDraft = current.profileDraft && typeof current.profileDraft === 'object'\n      ? normalizeProfileDraft(current.profileDraft)\n      : null;\n    if (!profileDraftHasAny(migratedDraft) && profileHasCore(migratedProfile)) {\n      migratedDraft = profileToDraft(migratedProfile, 'migration');\n    }\n    if (!profileDraftHasCore(migratedDraft) && String(current.resumeText || '').trim().length >= 30) {\n      try {\n        migratedProfile = buildLocalProfile(current.resumeText || '');\n        migratedProfile.generation.mode = 'local-recovery';\n        migratedProfile.generation.label = '本地初稿';\n        migratedProfile.generation.warning = '已从保存的简历恢复初稿。';\n        migratedDraft = profileToDraft(migratedProfile, 'recovery');\n        patch.profile = migratedProfile;\n      } catch {\n        // 简历内容不足时只保留现有数据，不生成空画像。\n      }\n    }\n    if (profileDraftHasAny(migratedDraft)) patch.profileDraft = migratedDraft;\n    patch.ui12ProfileDraftMigration = true;\n  }\n  if (!current.ui37DirectionPlanMigration) {\n    const profileForPlan = patch.profile || current.profile || null;\n    const existingPlan = current.directionPlan && typeof current.directionPlan === 'object'\n      ? current.directionPlan\n      : null;\n    if (profileHasCore(profileForPlan)) {\n      patch.directionPlan = buildDirectionPlan(profileForPlan, existingPlan, {\n        confirmed: Boolean(existingPlan?.confirmed),\n        preserveSelections: true,\n        preserveEdits: true,\n        preserveCustom: true\n      });\n    } else if (existingPlan) {\n      patch.directionPlan = normalizeDirectionPlan(existingPlan, profileForPlan);\n    }\n    patch.ui37DirectionPlanMigration = true;\n  }\n  if (!current.ui18TaskProgressMigration) {\n    const migratedPending = Array.isArray(current.pending) ? current.pending.map(entry => ({ ...entry })) : [];\n    const migratedRuns = Array.isArray(current.taskRuns) ? current.taskRuns.map(run => normalizeTaskRun(run, run)) : [];\n    for (let index = 0; index < migratedPending.length; index += 1) {\n      const item = migratedPending[index];\n      let run = migratedRuns.find(entry => entry.id === item.runId || entry.pendingId === item.id);\n      if (!run) {\n        const statusMap = {\n          pending: ['waiting_review', 'waiting_review', 60],\n          approved: ['running', 'queued', 64],\n          approved_queue: ['queued', 'queued', 64],\n          sent: ['success', 'success', 100],\n          failed: ['failed', 'failed', 100],\n          rejected: ['ignored', 'ignored', 100]\n        };\n        const [status, stage, progress] = statusMap[item.status] || ['skipped', 'skipped', 100];\n        run = normalizeTaskRun({\n          id: crypto.randomUUID(),\n          pendingId: item.id,\n          job: item.job,\n          analysis: item.analysis,\n          searchTask: item.task,\n          status,\n          stage,\n          progress,\n          error: item.error || '',\n          retryable: item.status === 'failed',\n          createdAt: item.createdAt || Date.now(),\n          completedAt: ['sent', 'failed', 'rejected'].includes(item.status) ? (item.completedAt || item.rejectedAt || Date.now()) : null\n        });\n        migratedRuns.push(run);\n      }\n      migratedPending[index] = { ...item, runId: run.id };\n    }\n    const workflow = { ...DEFAULTS.workflow, ...(current.workflow || {}) };\n    workflow.tasks = (workflow.tasks || []).map((task, index) => ({\n      ...task,\n      id: task.id || crypto.randomUUID(),\n      status: task.status || (index < Number(workflow.taskIndex || 0) ? 'completed' : index === Number(workflow.taskIndex || 0) && workflow.running ? 'running' : 'pending'),\n      progress: Number.isFinite(Number(task.progress)) ? Number(task.progress) : (index < Number(workflow.taskIndex || 0) ? 100 : 0),\n      stageLabel: task.stageLabel || (index < Number(workflow.taskIndex || 0) ? '已完成' : '等待开始'),\n      processed: Number(task.processed || 0),\n      discovered: Number(task.discovered || 0),\n      analyzed: Number(task.analyzed || 0),\n      failed: Number(task.failed || 0)\n    }));\n    patch.pending = migratedPending;\n    patch.taskRuns = migratedRuns;\n    patch.workflow = workflow;\n    patch.ui18TaskProgressMigration = true;\n  }\n  if (!current.ui20GreetingLockMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = basePending.map(item => ({\n      ...item,\n      deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim()\n    }));\n    patch.ui20GreetingLockMigration = true;\n  }\n  if (!current.ui30AtomicSendSortMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '投递引擎与岗位自动排序已升级，请重新开始'\n    };\n    patch.chatTransition = null;\n    patch.ui30AtomicSendSortMigration = true;\n  }\n  if (!current.ui31ConversationSelectionMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话选择与身份核对已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui31ConversationSelectionMigration = true;\n  }\n  if (!current.ui35ConversationKeyMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话锁已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui35ConversationKeyMigration = true;\n  }\n  if (!current.v130SingleValidationMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const alreadySuccessful = Number(current.stats?.sent || 0) > 0\n      || Number(baseConfig.singleJobValidationCompletedAt || 0) > 0;\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      requireSingleJobValidation: baseConfig.requireSingleJobValidation !== false,\n      singleJobValidationCompletedAt: alreadySuccessful\n        ? Number(baseConfig.singleJobValidationCompletedAt || Date.now())\n        : 0\n    };\n    patch.v130SingleValidationMigration = true;\n  }\n  if (!current.v170SafetyIntelligenceMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const legacyTarget = Number(baseConfig.dailyTarget || 0);\n    const legacyDiscovery = Number(baseConfig.discoveryLimit || 0);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: normalizeStrategy(baseConfig.batchStrategy),\n      dryRun: Boolean(baseConfig.dryRun),\n      dailyTarget: legacyTarget <= 0 ? 30 : Math.min(150, legacyTarget),\n      discoveryLimit: legacyDiscovery <= 0 ? 150 : Math.min(800, legacyDiscovery),\n      betweenJobsSeconds: Math.max(6, Number(baseConfig.betweenJobsSeconds || 9)),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      maxConsecutiveFailures: Math.max(1, Math.min(10, Number(baseConfig.maxConsecutiveFailures || 3))),\n      jitterSeconds: Math.max(0, Math.min(15, Number(baseConfig.jitterSeconds ?? 3))),\n      companyVerificationEnabled: baseConfig.companyVerificationEnabled !== false,\n      companyVerificationProvider: String(baseConfig.companyVerificationProvider || 'bridge'),\n      companyVerificationCacheDays: Math.max(1, Math.min(90, Number(baseConfig.companyVerificationCacheDays || 14))),\n      blockUnknownCompanies: Boolean(baseConfig.blockUnknownCompanies),\n      updateCheckEnabled: baseConfig.updateCheckEnabled !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.companyVerificationCache = current.companyVerificationCache && typeof current.companyVerificationCache === 'object' ? current.companyVerificationCache : {};\n    patch.deliveryHistory = Array.isArray(current.deliveryHistory) ? current.deliveryHistory : [];\n    patch.updateInfo = { ...DEFAULTS.updateInfo, ...(current.updateInfo || {}), currentVersion: '1.7.0' };\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...(patch.workflow || current.workflow || {}),\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'v1.7 安全投递引擎已升级 请检查限速和企业核验设置后重新开始'\n    };\n    patch.v170SafetyIntelligenceMigration = true;\n  }\n  if (!current.v170FormalReleaseMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const migratedStrategy = normalizeStrategy(baseConfig.batchStrategy);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: migratedStrategy,\n      massApplyAnalysis: ['fast', 'ai'].includes(baseConfig.massApplyAnalysis) ? baseConfig.massApplyAnalysis : 'fast',\n      pacingPreset: ['conservative', 'standard', 'efficient', 'custom'].includes(baseConfig.pacingPreset) ? baseConfig.pacingPreset : 'standard',\n      dailyTarget: Math.max(1, Math.min(150, Number(baseConfig.dailyTarget || 30))),\n      discoveryLimit: Math.max(1, Math.min(800, Number(baseConfig.discoveryLimit || 150))),\n      betweenJobsSeconds: Math.max(6, Math.min(120, Number(baseConfig.betweenJobsSeconds || 9))),\n      attachmentDelaySeconds: Math.max(1.5, Math.min(15, Number(baseConfig.attachmentDelaySeconds || 3))),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      queueWarmup: Math.max(1, Math.min(10, Number(baseConfig.queueWarmup || 4))),\n      dailyReportEnabled: baseConfig.dailyReportEnabled !== false,\n      dailyReportTime: /^\\d{2}:\\d{2}$/.test(String(baseConfig.dailyReportTime || '')) ? String(baseConfig.dailyReportTime) : '20:30',\n      dailyReportNotification: baseConfig.dailyReportNotification !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.v170FormalReleaseMigration = true;\n  }\n  if (Object.keys(patch).length) await storage.set(patch);\n  const { stats } = await storage.get('stats');\n  if (!stats || stats.date !== today()) {\n    await storage.set({ stats: { ...DEFAULTS.stats, date: today() } });\n  }\n  await refreshBossTabsForRuntimeVersion();\n  await chrome.sidePanel.setPanelBehavior({ openPanelOnActionClick: true }).catch(() => {});\n  chrome.alarms.create('jobclaw-tick', { periodInMinutes: 1 });\n  chrome.alarms.create('jobclaw-update-check', { periodInMinutes: 360 });\n  checkForUpdates(false).catch(() => {});\n  syncBridgeSnapshot(true).catch(() => {});\n}\n\nfunction publicState(all) {\n  const state = safeClone(all);\n  if (state?.config?.model) {\n    state.config.model.apiKey = state.config.model.apiKey ? '***' : '';\n  }\n  if (state?.resumeImage) state.resumeImage = '[已保存]';\n  if (state?.resumeSourceFile) {\n    const { name, type, size, lastModified } = state.resumeSourceFile;\n    state.resumeSourceFile = { name, type, size, lastModified, stored: true };\n  }\n  return state;\n}\n\nasync function writeEvent(level, message, data = {}) {\n  const { events = [] } = await storage.get('events');\n  const event = { id: crypto.randomUUID(), ts: Date.now(), level, message, data };\n  events.unshift(event);\n  await storage.set({ events: events.slice(0, 300) });\n  bridge('/sync', { event }).catch(() => {});\n  return event;\n}\n\nasync function patchWorkflow(patch) {\n  const { workflow } = await storage.get('workflow');\n  const next = { ...DEFAULTS.workflow, ...(workflow || {}), ...(patch || {}) };\n  await storage.set({ workflow: next });\n  return next;\n}\n\nasync function changeStats(delta = {}) {\n  const { stats } = await storage.get('stats');\n  const next = { ...DEFAULTS.stats, ...(stats || {}), date: today() };\n  for (const [key, value] of Object.entries(delta)) {\n    next[key] = Math.max(0, Number(next[key] || 0) + Number(value || 0));\n  }\n  await storage.set({ stats: next });\n  return next;\n}\n\n\nfunction runJobKey(job = {}) {\n  return String(job.jobId || job.encryptJobId || job.url || [job.title, job.company, job.location].filter(Boolean).join('|') || '').trim();\n}\n\nfunction normalizeTaskRun(input = {}, existing = {}) {\n  const now = Date.now();\n  const stage = String(input.stage || existing.stage || 'discovered');\n  const meta = taskStageMeta(stage, input.stageLabel, input.progress);\n  const status = String(input.status || existing.status || 'running');\n  const terminal = TERMINAL_RUN_STATUSES.has(status);\n  return {\n    ...existing,\n    ...input,\n    id: input.id || existing.id || crypto.randomUUID(),\n    jobKey: input.jobKey || existing.jobKey || runJobKey(input.job || existing.job || {}),\n    status,\n    stage,\n    stageLabel: meta.label,\n    progress: meta.progress,\n    createdAt: existing.createdAt || input.createdAt || now,\n    startedAt: existing.startedAt || input.startedAt || (status === 'running' ? now : null),\n    updatedAt: now,\n    completedAt: terminal ? (input.completedAt || existing.completedAt || now) : null,\n    retryCount: Math.max(0, Number(input.retryCount ?? existing.retryCount ?? 0)),\n    error: String(input.error ?? existing.error ?? ''),\n    retryable: input.retryable ?? existing.retryable ?? Boolean(input.pendingId || existing.pendingId)\n  };\n}\n\nasync function upsertTaskRun(patch = {}) {\n  const { taskRuns = [] } = await storage.get('taskRuns');\n  const jobKey = patch.jobKey || runJobKey(patch.job || {});\n  const index = taskRuns.findIndex(run => run.id === patch.id || (jobKey && run.jobKey === jobKey && !TERMINAL_RUN_STATUSES.has(run.status)));\n  const existing = index >= 0 ? taskRuns[index] : {};\n  const nextRun = normalizeTaskRun({ ...patch, jobKey }, existing);\n  const next = index >= 0\n    ? taskRuns.map((run, runIndex) => runIndex === index ? nextRun : run)\n    : [nextRun, ...taskRuns];\n  await storage.set({ taskRuns: next });\n  return nextRun;\n}\n\nasync function updateTaskRunByPending(pendingId, patch = {}) {\n  if (!pendingId) return null;\n  const { pending = [], taskRuns = [] } = await storage.get(['pending', 'taskRuns']);\n  const item = pending.find(entry => entry.id === pendingId);\n  const run = taskRuns.find(entry => entry.id === item?.runId || entry.pendingId === pendingId);\n  if (!run && !item) return null;\n  return upsertTaskRun({\n    id: run?.id || item?.runId,\n    pendingId,\n    job: item?.job || run?.job,\n    analysis: item?.analysis || run?.analysis,\n    searchTask: item?.task || run?.searchTask,\n    ...patch\n  });\n}\n\nasync function updateSearchTaskProgress(message = {}) {\n  const { workflow } = await storage.get('workflow');\n  const nextWorkflow = { ...DEFAULTS.workflow, ...(workflow || {}) };\n  const tasks = Array.isArray(nextWorkflow.tasks) ? [...nextWorkflow.tasks] : [];\n  const index = tasks.findIndex(task => task.id === message.taskId);\n  const fallbackIndex = Number.isInteger(message.taskIndex) ? message.taskIndex : -1;\n  const targetIndex = index >= 0 ? index : fallbackIndex;\n  if (targetIndex < 0 || targetIndex >= tasks.length) return null;\n  const current = tasks[targetIndex] || {};\n  const progress = Math.max(0, Math.min(100, Number(message.progress ?? current.progress ?? 0)));\n  tasks[targetIndex] = {\n    ...current,\n    status: message.status || current.status || 'pending',\n    stageLabel: message.stageLabel || current.stageLabel || '',\n    progress,\n    processed: Math.max(0, Number(message.processed ?? current.processed ?? 0)),\n    discovered: Math.max(0, Number(message.discovered ?? current.discovered ?? 0)),\n    analyzed: Math.max(0, Number(message.analyzed ?? current.analyzed ?? 0)),\n    failed: Math.max(0, Number(message.failed ?? current.failed ?? 0)),\n    updatedAt: Date.now(),\n    completedAt: message.status === 'completed' ? Date.now() : current.completedAt || null\n  };\n  nextWorkflow.tasks = tasks;\n  await storage.set({ workflow: nextWorkflow });\n  return tasks[targetIndex];\n}\n\nasync function retryFailedTask(runId) {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  if (run.status === 'success') throw new Error('该岗位已经投递成功，不会重复投递');\n  if (workflow.running && (workflow.activeRunId === run.id || workflow.pendingApplyId === run.pendingId)) {\n    throw new Error('该失败任务正在重试，请等待当前结果');\n  }\n  if (Number(run.retryRequestedAt || 0) > Date.now() - 15000) {\n    throw new Error('该任务刚刚提交过重试，请稍后查看结果');\n  }\n  let item = pending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n  if (!item && run.job && run.analysis) {\n    item = {\n      id: crypto.randomUUID(),\n      runId: run.id,\n      job: run.job,\n      analysis: run.analysis,\n      deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n      task: run.searchTask || {},\n      status: 'approved',\n      createdAt: Date.now(),\n      approvedAt: Date.now()\n    };\n  }\n  if (!item) throw new Error('该历史任务缺少岗位或招呼语信息，无法直接重试');\n  if (item.status === 'sent') throw new Error('该岗位已经投递成功，不会重复投递');\n  item = {\n    ...item,\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: 'approved', error: '', approvedAt: Date.now(), runId: run.id\n  };\n  const nextPending = pending.some(entry => entry.id === item.id)\n    ? pending.map(entry => entry.id === item.id ? item : entry)\n    : [item, ...pending];\n  await storage.set({ pending: rerankPending(nextPending) });\n  await upsertTaskRun({\n    id: run.id,\n    pendingId: item.id,\n    job: item.job,\n    analysis: item.analysis,\n    searchTask: item.task,\n    status: 'running',\n    stage: 'retry_queued',\n    progress: 66,\n    stageLabel: '等待重新投递',\n    error: '',\n    retryable: true,\n    retryCount: Number(run.retryCount || 0) + 1,\n    retryRequestedAt: Date.now(),\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `正在重新投递：${item.job?.title || '岗位'}`,\n    pendingApplyId: item.id,\n    activeRunId: run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n    setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  } catch (error) {\n    await upsertTaskRun({ id: run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '重新投递启动失败', error: error.message, retryable: true });\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '重新投递启动失败' });\n    throw error;\n  }\n  return { runId: run.id, pendingId: item.id };\n}\n\nasync function retryAllFailedTasks() {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  if (workflow.running && workflow.activeRunId) {\n    throw new Error('当前已有投递任务正在执行，请等待完成后再批量重试');\n  }\n  const failedRuns = taskRuns.filter(run => run.status === 'failed'\n    && run.retryable !== false\n    && Number(run.retryRequestedAt || 0) <= Date.now() - 15000);\n  if (!failedRuns.length) return { count: 0 };\n  const nextPending = [...pending];\n  const queue = [];\n  for (const run of failedRuns) {\n    if (run.status === 'success') continue;\n    let item = nextPending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n    if (!item && run.job && run.analysis) {\n      item = {\n        id: crypto.randomUUID(), runId: run.id, job: run.job, analysis: run.analysis,\n        deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n        task: run.searchTask || {}, createdAt: Date.now()\n      };\n      nextPending.unshift(item);\n    }\n    if (!item || item.status === 'sent') continue;\n    item.deliveryGreeting = String(item.deliveryGreeting || item.analysis?.greeting || '').trim();\n    item.status = queue.length ? 'approved_queue' : 'approved';\n    item.approvedAt = Date.now();\n    item.error = '';\n    const pendingIndex = nextPending.findIndex(entry => entry.id === item.id);\n    if (pendingIndex >= 0) nextPending[pendingIndex] = { ...item };\n    queue.push({ run, item });\n  }\n  if (!queue.length) return { count: 0 };\n  await storage.set({ pending: rerankPending(nextPending) });\n  for (const [index, entry] of queue.entries()) {\n    await upsertTaskRun({\n      id: entry.run.id,\n      pendingId: entry.item.id,\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'retry_queued',\n      progress: 66,\n      stageLabel: index === 0 ? '正在重新投递' : '等待重新投递',\n      error: '',\n      retryable: true,\n      retryCount: Number(entry.run.retryCount || 0) + 1,\n      retryRequestedAt: Date.now(),\n      completedAt: null\n    });\n  }\n  const first = queue[0];\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `重新投递 1/${queue.length}：${first.item.job?.title || '岗位'}`,\n    pendingApplyId: first.item.id,\n    activeRunId: first.run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n  } catch (error) {\n    for (const entry of queue) {\n      await upsertTaskRun({ id: entry.run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '批量重试启动失败', error: error.message, retryable: true });\n    }\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '批量重试启动失败' });\n    throw error;\n  }\n  return { count: queue.length };\n}\n\nasync function ignoreFailedTask(runId) {\n  const { taskRuns = [], pending = [] } = await storage.get(['taskRuns', 'pending']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  const nextPending = pending.map(entry => entry.id === run.pendingId || entry.runId === run.id\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: nextPending });\n  return upsertTaskRun({ id: run.id, status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\nconst BOSS_URL_PATTERN = /^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i;\nconst NO_RECEIVER_PATTERN = /Could not establish connection|Receiving end does not exist|message port closed|No tab with id/i;\nconst wait = ms => new Promise(resolve => setTimeout(resolve, ms));\n\nfunction receiverMatchesExpectedVersion(probe) {\n  return Boolean(probe?.ok && probe.contentVersion === EXPECTED_CONTENT_VERSION && probe.contentFile === CONTENT_SCRIPT_FILE);\n}\n\nasync function waitForTabReady(tabId, timeout = 16000) {\n  if (!chrome.tabs?.get) {\n    await wait(900);\n    return null;\n  }\n  const startedAt = Date.now();\n  while (Date.now() - startedAt < timeout) {\n    const tab = await chrome.tabs.get(tabId).catch(() => null);\n    if (tab?.status === 'complete') return tab;\n    await wait(180);\n  }\n  return chrome.tabs.get(tabId).catch(() => null);\n}\n\nasync function reloadBossTab(tab, reason = 'runtime-refresh') {\n  if (!tab?.id || !chrome.tabs?.reload) return tab;\n  await chrome.tabs.reload(tab.id, { bypassCache: true });\n  const ready = await waitForTabReady(tab.id);\n  await writeEvent('info', 'BOSS 页面助手已自动刷新', { reason, tabId: tab.id, contentVersion: EXPECTED_CONTENT_VERSION }).catch(() => {});\n  return ready || tab;\n}\n\nasync function refreshBossTabsForRuntimeVersion() {\n  const key = 'bossContentRuntimeVersion';\n  const current = await storage.get(key);\n  if (current?.[key] === EXPECTED_CONTENT_VERSION) return;\n  await storage.set({ [key]: EXPECTED_CONTENT_VERSION });\n  if (!chrome.tabs?.query || !chrome.tabs?.reload) return;\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] }).catch(() => []);\n  for (const tab of tabs || []) {\n    if (!tab?.id) continue;\n    await chrome.tabs.reload(tab.id, { bypassCache: true }).catch(() => {});\n  }\n}\n\nasync function activeBossTab() {\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] });\n  return tabs.find(tab => tab.active) || tabs[0] || null;\n}\n\nfunction bossConnectionError(error) {\n  const message = String(error?.message || error || '');\n  if (NO_RECEIVER_PATTERN.test(message)) {\n    return 'BOSS 页面连接尚未就绪，JobClaw 已尝试自动修复。请刷新当前 BOSS 页面后再点一次开始。';\n  }\n  if (/Cannot access contents of url|The extensions gallery cannot be scripted|Missing host permission/i.test(message)) {\n    return '当前页面无法接入 JobClaw。请确认打开的是 BOSS 直聘岗位页或沟通页。';\n  }\n  return message || 'BOSS 页面连接失败';\n}\n\nasync function probeBossReceiver(tab) {\n  return chrome.tabs.sendMessage(tab.id, { type: 'PROBE', expectedContentVersion: EXPECTED_CONTENT_VERSION });\n}\n\nasync function injectBossContent(tab) {\n  if (!chrome.scripting?.executeScript) throw new Error('扩展缺少页面注入能力，请重新加载最新版 JobClaw');\n  await chrome.scripting.executeScript({\n    target: { tabId: tab.id },\n    files: [CONTENT_SCRIPT_FILE]\n  });\n}\n\nasync function ensureBossReceiver(tab) {\n  if (!tab?.id) throw new Error('请先打开并登录 BOSS 直聘');\n  if (!BOSS_URL_PATTERN.test(String(tab.url || ''))) {\n    throw new Error('请切换到 BOSS 直聘岗位页或沟通页');\n  }\n\n  let probe = null;\n  try {\n    probe = await probeBossReceiver(tab);\n    if (receiverMatchesExpectedVersion(probe)) return probe;\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n  }\n\n  // 能收到响应但版本不一致，说明当前标签页仍保留旧内容脚本。必须整页刷新，\n  // 不能继续在同一页面叠加注入，否则旧 RUN 监听器仍可能执行。\n  if (probe?.ok && !receiverMatchesExpectedVersion(probe)) {\n    tab = await reloadBossTab(tab, `stale-${probe.contentVersion || 'legacy'}`);\n  }\n\n  for (let attempt = 0; attempt < 5; attempt += 1) {\n    await wait(180 + attempt * 140);\n    try {\n      const currentProbe = await probeBossReceiver(tab);\n      if (receiverMatchesExpectedVersion(currentProbe)) return currentProbe;\n      if (currentProbe?.ok && !receiverMatchesExpectedVersion(currentProbe) && attempt === 0) {\n        tab = await reloadBossTab(tab, `mismatch-${currentProbe.contentVersion || 'legacy'}`);\n      }\n    } catch (error) {\n      if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n        throw new Error(bossConnectionError(error));\n      }\n      if (attempt === 1) {\n        try { await injectBossContent(tab); } catch (injectError) { throw new Error(bossConnectionError(injectError)); }\n      }\n    }\n  }\n  throw new Error(`BOSS 页面助手版本未就绪（需要 ${EXPECTED_CONTENT_VERSION}）。JobClaw 已自动刷新页面，请再点一次开始。`);\n}\n\nasync function sendToBossTab(tab, message) {\n  await ensureBossReceiver(tab);\n  try {\n    return await chrome.tabs.sendMessage(tab.id, message);\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n    tab = await reloadBossTab(tab, 'message-receiver-lost');\n    await ensureBossReceiver(tab);\n    try {\n      return await chrome.tabs.sendMessage(tab.id, message);\n    } catch (retryError) {\n      throw new Error(bossConnectionError(retryError));\n    }\n  }\n}\n\nasync function sendToBoss(message) {\n  const tab = await activeBossTab();\n  if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n  return sendToBossTab(tab, message);\n}\n\nasync function nativeBridge(path, body) {\n  if (!chrome.runtime?.sendNativeMessage) throw new Error('当前 Chrome 不支持 Native Messaging');\n  const response = await chrome.runtime.sendNativeMessage(NATIVE_BRIDGE_HOST, { path, body: body ?? null });\n  if (!response || response.ok === false) throw new Error(response?.error || '本地桥接没有返回结果');\n  const payload = response.payload && typeof response.payload === 'object' ? response.payload : response;\n  return { ...payload, _transport: 'native' };\n}\n\nasync function bridge(path, body) {\n  const failures = [];\n  const timeoutMs = path === '/parse-resume' ? 190000 : path === '/company/verify' ? 3500 : path === '/status' ? 3000 : 8000;\n  for (const base of BRIDGE_ENDPOINTS) {\n    const controller = new AbortController();\n    const timeout = setTimeout(() => controller.abort(), timeoutMs);\n    try {\n      const response = await fetch(`${base}${path}`, {\n        method: body ? 'POST' : 'GET',\n        headers: { 'Content-Type': 'application/json' },\n        body: body ? JSON.stringify(body) : undefined,\n        cache: 'no-store',\n        credentials: 'omit',\n        signal: controller.signal\n      });\n      const payload = await response.json().catch(() => ({}));\n      if (!response.ok) throw new Error(payload.error || `本地桥接返回 HTTP ${response.status}`);\n      bridgeUnavailableUntil = 0;\n      bridgeLastError = '';\n      return { ...payload, _transport: 'http', _endpoint: base };\n    } catch (error) {\n      failures.push(`${base} ${error?.name === 'AbortError' ? '连接超时' : String(error?.message || error)}`);\n    } finally {\n      clearTimeout(timeout);\n    }\n  }\n  try {\n    const payload = await nativeBridge(path, body);\n    bridgeUnavailableUntil = 0;\n    bridgeLastError = '';\n    return payload;\n  } catch (error) {\n    failures.push(`Native Messaging ${String(error?.message || error)}`);\n    bridgeLastError = String(error?.message || error);\n    if (path === '/company/verify') bridgeUnavailableUntil = Date.now() + 5 * 60 * 1000;\n  }\n  throw new Error(`OpenClaw 桌面桥接未连接。请双击“安装桌面桥接-mac.command”完成安装或修复。${failures.length ? ` 诊断：${failures.join('；')}` : ''}`);\n}\n\nasync function diagnoseBridge() {\n  const attempts = [];\n  for (const base of BRIDGE_ENDPOINTS) {\n    const startedAt = Date.now();\n    const controller = new AbortController();\n    const timer = setTimeout(() => controller.abort(), 2500);\n    try {\n      const response = await fetch(`${base}/status`, { cache: 'no-store', credentials: 'omit', signal: controller.signal });\n      const payload = await response.json().catch(() => ({}));\n      attempts.push({ transport: 'http', endpoint: base, ok: response.ok, elapsedMs: Date.now() - startedAt, status: response.status, payload });\n      if (response.ok) return { ok: true, transport: 'http', runtimeId: chrome.runtime.id, attempts, status: payload };\n    } catch (error) {\n      attempts.push({ transport: 'http', endpoint: base, ok: false, elapsedMs: Date.now() - startedAt, error: error?.name === 'AbortError' ? '连接超时' : String(error?.message || error) });\n    } finally {\n      clearTimeout(timer);\n    }\n  }\n  try {\n    const status = await nativeBridge('/status');\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: true });\n    return { ok: true, transport: 'native', runtimeId: chrome.runtime.id, attempts, status };\n  } catch (error) {\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: false, error: String(error?.message || error) });\n  }\n  return {\n    ok: false,\n    runtimeId: chrome.runtime.id,\n    expectedRuntimeId: 'dkfilgjiooigjbollljdionbnnofekkh',\n    attempts,\n    fix: '退出旧桥接后 双击项目根目录的“安装桌面桥接-mac.command” 安装完成后回到扩展点击检测连接',\n    logPaths: ['~/.jobclaw/bridge.log', '~/.jobclaw/bridge-error.log']\n  };\n}\n\nfunction bridgeSnapshot(all = {}) {\n  const config = all.config || {};\n  const pending = Array.isArray(all.pending) ? all.pending : [];\n  const taskRuns = Array.isArray(all.taskRuns) ? all.taskRuns : [];\n  return {\n    ts: Date.now(),\n    stats: { ...(all.stats || {}) },\n    workflow: {\n      running: Boolean(all.workflow?.running),\n      paused: Boolean(all.workflow?.paused),\n      phase: String(all.workflow?.phase || 'idle'),\n      statusText: String(all.workflow?.statusText || '')\n    },\n    queue: {\n      waiting: pending.filter(item => ['pending', 'approved_queue', 'approved'].includes(item.status)).length,\n      sent: pending.filter(item => item.status === 'sent').length,\n      failed: pending.filter(item => item.status === 'failed').length\n    },\n    recentRuns: taskRuns.filter(() => true).slice(0, 30).map(run => ({\n      status: run.status,\n      stageLabel: run.stageLabel,\n      job: run.job ? { title: run.job.title || '', company: run.job.company || '' } : null,\n      updatedAt: run.updatedAt || run.completedAt || run.createdAt || 0\n    })),\n    config: {\n      batchStrategy: normalizeStrategy(config.batchStrategy),\n      massApplyAnalysis: config.massApplyAnalysis || 'fast',\n      pacingPreset: config.pacingPreset || 'standard',\n      dailyTarget: Number(config.dailyTarget || 30),\n      dailyReportEnabled: config.dailyReportEnabled !== false,\n      dailyReportTime: String(config.dailyReportTime || '20:30'),\n      dailyReportNotification: config.dailyReportNotification !== false\n    }\n  };\n}\n\nasync function syncBridgeSnapshot(force = false) {\n  if (!force && Date.now() - lastBridgeSnapshotAt < 55 * 1000) return { skipped: true };\n  lastBridgeSnapshotAt = Date.now();\n  const snapshot = bridgeSnapshot(await storage.all());\n  return bridge('/sync', { snapshot });\n}\n\nasync function enforceRateLimit(scope = 'discovery') {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const now = Date.now();\n  const decision = computeRateLimitDecision(config, safetyState, scope, now);\n  if (!decision.allowed) {\n    await patchWorkflow({ running: false, paused: true, statusText: decision.reason || '安全熔断已开启' });\n    return { ok: false, ...decision };\n  }\n  const reservedAt = now + Number(decision.waitMs || 0);\n  const nextState = recordRateAction(safetyState, scope, reservedAt, Number(decision.waitMs || 0) > 0);\n  await storage.set({ safetyState: nextState });\n  return { ok: true, ...decision, reservedAt };\n}\n\nasync function applySafetyOutcome(outcome = {}) {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const next = recordSafetyOutcome(config, safetyState, outcome);\n  await storage.set({ safetyState: next });\n  if (next.circuitOpen) {\n    await patchWorkflow({\n      running: false,\n      paused: true,\n      phase: 'safety_stop',\n      pendingApplyId: null,\n      statusText: `安全熔断：${next.circuitReason || '连续任务失败'}`\n    });\n    await writeEvent('warning', '安全熔断已开启', { reason: next.circuitReason, failures: next.consecutiveFailures });\n    chrome.notifications.create(`jobclaw-safety-${Date.now()}`, {\n      type: 'basic',\n      iconUrl: 'icon128.png',\n      title: 'JobClaw 已安全暂停',\n      message: next.circuitReason || '连续任务失败，请检查页面后手动恢复'\n    }).catch(() => {});\n  }\n  return next;\n}\n\nasync function clearSafetyCircuit() {\n  const { safetyState = {} } = await storage.get('safetyState');\n  const next = resetSafetyCircuit(safetyState);\n  await storage.set({ safetyState: next });\n  await writeEvent('info', '安全熔断已重置');\n  return next;\n}\n\nasync function verifyCompanyForJob(job = {}, force = false) {\n  const { config = {}, companyVerificationCache = {} } = await storage.get(['config', 'companyVerificationCache']);\n  const fallback = heuristicCompanyVerification(job);\n  if (config.companyVerificationEnabled === false) {\n    return { ...fallback, provider: 'disabled', status: 'disabled', verified: false, riskLevel: fallback.riskLevel === 'high' ? 'high' : 'unknown' };\n  }\n  const key = companyCacheKey(job.company);\n  const cached = companyVerificationCache[key];\n  if (!force && cached && !companyVerificationExpired(cached, config.companyVerificationCacheDays || 14)) {\n    return { ...cached, cacheHit: true };\n  }\n  let providerResult = null;\n  if (config.companyVerificationProvider !== 'local' && Date.now() < bridgeUnavailableUntil) {\n    providerResult = {\n      provider: 'bridge-cooldown',\n      status: 'unavailable',\n      verified: false,\n      riskLevel: 'unknown',\n      confidence: 0,\n      signals: [`OpenClaw暂不可用 已在本地快速降级 ${bridgeLastError || ''}`.trim()],\n      evidence: [],\n      checkedAt: Date.now()\n    };\n  }\n  if (config.companyVerificationProvider !== 'local' && !providerResult) {\n    const throttle = await enforceRateLimit('company');\n    if (throttle.ok && throttle.waitMs) await wait(throttle.waitMs);\n    try {\n      const response = await bridge('/company/verify', {\n        provider: config.companyVerificationProvider || 'bridge',\n        companyName: job.company || '',\n        job: {\n          title: job.title || '',\n          company: job.company || '',\n          location: job.location || '',\n          description: job.description || job.cardText || '',\n          url: job.url || ''\n        }\n      });\n      providerResult = response?.result || response;\n    } catch (error) {\n      providerResult = {\n        provider: 'bridge-unavailable',\n        status: 'unavailable',\n        verified: false,\n        riskLevel: 'unknown',\n        confidence: 0,\n        signals: [`企业数据源暂不可用：${error.message}`],\n        evidence: []\n      };\n    }\n  }\n  const merged = mergeCompanyVerification(providerResult || {}, fallback);\n  const nextCache = { ...companyVerificationCache, [key]: merged };\n  const entries = Object.entries(nextCache).sort((a, b) => Number(b[1]?.checkedAt || 0) - Number(a[1]?.checkedAt || 0)).slice(0, 500);\n  await storage.set({ companyVerificationCache: Object.fromEntries(entries) });\n  return { ...merged, cacheHit: false };\n}\n\nasync function preflightJob(job = {}) {\n  const { config = {}, pending = [], deliveryHistory = [] } = await storage.get(['config', 'pending', 'deliveryHistory']);\n  const duplicate = findDuplicate(job, {\n    pending,\n    history: deliveryHistory,\n    maxPerCompanyPerDay: config.maxPerCompanyPerDay || 2,\n    date: today()\n  });\n  if (duplicate.duplicate) {\n    await changeStats({ duplicates: 1, blocked: 1 });\n    return { ok: true, blocked: true, category: 'duplicate', reason: duplicate.reason, duplicate };\n  }\n  const company = await verifyCompanyForJob(job);\n  const blockUnknown = Boolean(config.blockUnknownCompanies);\n  const blocked = company.riskLevel === 'high' || (blockUnknown && company.riskLevel === 'unknown');\n  await changeStats(blocked ? { blocked: 1 } : company.verified ? { verified: 1 } : {});\n  return {\n    ok: true,\n    blocked,\n    category: blocked ? 'company-risk' : 'accepted',\n    reason: blocked ? (company.signals?.[0] || '企业核验未通过') : '',\n    company,\n    duplicate\n  };\n}\n\nasync function checkForUpdates(force = false) {\n  const currentVersion = chrome.runtime.getManifest().version;\n  const { config = {}, updateInfo = {} } = await storage.get(['config', 'updateInfo']);\n  if (config.updateCheckEnabled === false && !force) return updateInfo;\n  if (!force && Number(updateInfo.checkedAt || 0) && Date.now() - Number(updateInfo.checkedAt) < 6 * 60 * 60 * 1000) return updateInfo;\n  try {\n    const response = await fetch('https://api.github.com/repos/Chrisbetheking/job-claw/releases/latest', {\n      headers: { Accept: 'application/vnd.github+json' },\n      cache: 'no-store',\n      credentials: 'omit'\n    });\n    if (response.status === 404) {\n      const next = { ...DEFAULTS.updateInfo, currentVersion, checkedAt: Date.now(), error: '仓库暂未发布正式 Release' };\n      await storage.set({ updateInfo: next });\n      return next;\n    }\n    if (!response.ok) throw new Error(`GitHub Release HTTP ${response.status}`);\n    const next = normalizeRelease(await response.json(), currentVersion);\n    const wasAvailable = Boolean(updateInfo.available && updateInfo.latestVersion === next.latestVersion);\n    await storage.set({ updateInfo: next });\n    if (next.available && !wasAvailable) {\n      chrome.notifications.create(`jobclaw-update-${next.latestVersion}`, {\n        type: 'basic',\n        iconUrl: 'icon128.png',\n        title: `JobClaw ${next.latestVersion} 可更新`,\n        message: next.name || '发现新的正式版本'\n      }).catch(() => {});\n    }\n    return next;\n  } catch (error) {\n    const next = { ...updateInfo, currentVersion, checkedAt: Date.now(), error: error.message || '更新检查失败' };\n    await storage.set({ updateInfo: next });\n    return next;\n  }\n}\n\nfunction extractJson(raw) {\n  let text = String(raw || '').trim()\n    .replace(/^```(?:json)?/i, '')\n    .replace(/```$/i, '')\n    .trim();\n  const start = text.indexOf('{');\n  const end = text.lastIndexOf('}');\n  if (start >= 0 && end > start) text = text.slice(start, end + 1);\n  text = text.replace(/,\\s*([}\\]])/g, '$1');\n  return JSON.parse(text);\n}\n\nfunction aiError(code, message, details = {}) {\n  const error = new Error(message);\n  error.code = code;\n  Object.assign(error, details);\n  return error;\n}\n\nfunction aiFailureKind(error) {\n  const code = String(error?.code || '');\n  const message = String(error?.message || '');\n  if (code === 'AI_CONFIG' || /API Key|未配置|401|unauthorized/i.test(message)) return 'config-missing';\n  if (['AI_NETWORK', 'AI_HTTP', 'AI_TIMEOUT'].includes(code) || /HTTP|fetch|网络|超时|服务不可用/i.test(message)) return 'service-error';\n  return 'output-invalid';\n}\n\nfunction isRetryableAiOutputError(error) {\n  return ['AI_TRUNCATED', 'AI_EMPTY', 'AI_INVALID_JSON', 'AI_PROFILE_INCOMPLETE'].includes(String(error?.code || ''));\n}\n\nasync function requestModel(url, payload, apiKey, timeoutMs = 90000) {\n  const controller = new AbortController();\n  const timer = setTimeout(() => controller.abort(), timeoutMs);\n  try {\n    return await fetch(url, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${apiKey}`\n      },\n      body: JSON.stringify(payload),\n      signal: controller.signal\n    });\n  } catch (error) {\n    if (error?.name === 'AbortError') throw aiError('AI_TIMEOUT', 'AI 请求超时');\n    throw aiError('AI_NETWORK', `AI 网络请求失败：${error?.message || '连接异常'}`);\n  } finally {\n    clearTimeout(timer);\n  }\n}\n\nasync function callModel(messages, jsonMode = true, options = {}) {\n  const { config } = await storage.get('config');\n  const model = config?.model || {};\n  if (!model.apiKey) throw aiError('AI_CONFIG', '请先在设置页填写 AI API Key');\n  const url = `${String(model.baseUrl || 'https://api.deepseek.com').replace(/\\/$/, '')}/chat/completions`;\n  const payload = {\n    model: model.model || 'deepseek-v4-pro',\n    messages,\n    temperature: Number(options.temperature ?? model.temperature ?? 0.1),\n    max_tokens: Number(options.maxTokens ?? 2800)\n  };\n  if (jsonMode) payload.response_format = { type: 'json_object' };\n\n  let response = await requestModel(url, payload, model.apiKey, Number(options.timeoutMs || 90000));\n  let bodyText = await response.text();\n\n  // 某些兼容网关不支持 response_format，但仍能正常返回 JSON 文本。\n  if (!response.ok && jsonMode && [400, 404, 422].includes(response.status) && /response[_ -]?format|json_object|unsupported/i.test(bodyText)) {\n    const retryPayload = { ...payload };\n    delete retryPayload.response_format;\n    response = await requestModel(url, retryPayload, model.apiKey, Number(options.timeoutMs || 90000));\n    bodyText = await response.text();\n  }\n\n  if (!response.ok) {\n    throw aiError('AI_HTTP', `AI 请求失败 HTTP ${response.status}: ${bodyText.substring(0, 500)}`, { status: response.status });\n  }\n\n  let result;\n  try {\n    result = JSON.parse(bodyText);\n  } catch {\n    throw aiError('AI_INVALID_RESPONSE', 'AI 接口返回了无法识别的响应');\n  }\n  const choice = result.choices?.[0];\n  const content = String(choice?.message?.content || '').trim();\n  if (!content) throw aiError('AI_EMPTY', 'AI 返回为空');\n  if (choice.finish_reason === 'length') {\n    throw aiError('AI_TRUNCATED', 'AI 输出被截断', { finishReason: choice.finish_reason, partial: content });\n  }\n  if (!jsonMode) return content;\n  try {\n    return extractJson(content);\n  } catch (error) {\n    throw aiError('AI_INVALID_JSON', `AI 返回 JSON 不完整：${error?.message || '解析失败'}`, { partial: content });\n  }\n}\n\nfunction cleanResumeText(value) {\n  return String(value || '')\n    .replace(/\\r/g, '\\n')\n    .replace(/[\\u0000-\\u0008\\u000B\\u000C\\u000E-\\u001F]/g, ' ')\n    .replace(/[ \\t]+/g, ' ')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .trim();\n}\n\nfunction lineMatches(text, pattern, limit = 6) {\n  return uniq(cleanResumeText(text)\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length >= 4 && line.length <= 180 && pattern.test(line)))\n    .slice(0, limit);\n}\n\nfunction extractSkills(text) {\n  const source = cleanResumeText(text);\n  const catalog = [\n    ['JavaScript', /\\bjavascript\\b|\\bjs\\b/i],\n    ['TypeScript', /\\btypescript\\b|\\bts\\b/i],\n    ['HTML', /\\bhtml5?\\b/i],\n    ['CSS', /\\bcss3?\\b|sass|less/i],\n    ['Vue', /\\bvue(?:\\.js|3|2)?\\b/i],\n    ['React', /\\breact(?:\\.js)?\\b/i],\n    ['Next.js', /\\bnext\\.?js\\b/i],\n    ['Node.js', /\\bnode\\.?js\\b/i],\n    ['Express', /\\bexpress\\b/i],\n    ['Vite', /\\bvite\\b/i],\n    ['Webpack', /\\bwebpack\\b/i],\n    ['Tailwind CSS', /\\btailwind\\b/i],\n    ['ECharts', /\\becharts\\b/i],\n    ['D3.js', /\\bd3(?:\\.js)?\\b/i],\n    ['Tauri', /\\btauri\\b/i],\n    ['Electron', /\\belectron\\b/i],\n    ['Chrome Extension', /chrome\\s*(?:extension|扩展)|浏览器扩展/i],\n    ['Python', /\\bpython\\b/i],\n    ['Java', /\\bjava\\b/i],\n    ['C/C++', /\\bc\\+\\+\\b|\\bc语言\\b/i],\n    ['Go', /\\bgolang\\b|\\bgo语言\\b/i],\n    ['SQL', /\\bsql\\b/i],\n    ['MySQL', /\\bmysql\\b/i],\n    ['PostgreSQL', /\\bpostgres(?:ql)?\\b/i],\n    ['Redis', /\\bredis\\b/i],\n    ['Spring Boot', /spring\\s*boot/i],\n    ['Flask', /\\bflask\\b/i],\n    ['Django', /\\bdjango\\b/i],\n    ['FastAPI', /\\bfastapi\\b/i],\n    ['Git', /\\bgit\\b|github/i],\n    ['Docker', /\\bdocker\\b/i],\n    ['Linux', /\\blinux\\b/i],\n    ['Playwright', /\\bplaywright\\b/i],\n    ['Selenium', /\\bselenium\\b/i],\n    ['PyTorch', /\\bpytorch\\b/i],\n    ['TensorFlow', /\\btensorflow\\b/i],\n    ['OpenCV', /\\bopencv\\b/i],\n    ['RAG', /\\brag\\b|检索增强生成/i],\n    ['LLM', /\\bllm\\b|大语言模型|语言模型/i],\n    ['AI Agent', /ai\\s*agent|智能体/i],\n    ['OCR', /\\bocr\\b|文字识别/i],\n    ['数据可视化', /数据可视化|可视化看板/i]\n  ];\n  return catalog.filter(([, pattern]) => pattern.test(source)).map(([name]) => name).slice(0, 40);\n}\n\nfunction extractDegree(text) {\n  const source = cleanResumeText(text);\n  if (/博士|ph\\.?d/i.test(source)) return '博士';\n  if (/硕士|研究生|master/i.test(source)) return '硕士';\n  if (/本科|学士|bachelor/i.test(source)) return '本科';\n  if (/大专|专科|associate/i.test(source)) return '大专';\n  return '不限';\n}\n\nfunction extractLocations(text) {\n  const source = cleanResumeText(text);\n  const cities = ['北京','上海','广州','深圳','杭州','成都','西安','南京','武汉','苏州','重庆','天津','长沙','郑州','青岛','厦门','合肥','济南','宁波','东莞','珠海','佛山','无锡','兰州','太原','南阳','东京','大阪'];\n  return cities.filter(city => source.includes(city)).slice(0, 6);\n}\n\nfunction extractExplicitDirections(text) {\n  const source = cleanResumeText(text);\n  const matches = [];\n  const pattern = /(?:求职意向|求职方向|目标岗位|意向岗位|应聘岗位|期望职位)\\s*[:：]?\\s*([^\\n]{2,100})/ig;\n  let match;\n  while ((match = pattern.exec(source)) && matches.length < 3) {\n    matches.push(...String(match[1] || '').split(/[，,、/|]/).map(item => item.trim()).filter(item => item.length >= 2 && item.length <= 28));\n  }\n  return uniq(matches).slice(0, 3);\n}\n\nfunction inferDirections(text, skills) {\n  const source = cleanResumeText(text);\n  const explicit = extractExplicitDirections(source);\n  if (explicit.length) return explicit;\n  const directions = [];\n  const has = name => skills.includes(name);\n  const internship = /实习|在校|应届|校招/i.test(source);\n  if (/前端|web前端|网页开发/i.test(source) || ['JavaScript','TypeScript','Vue','React','HTML','CSS'].some(has)) {\n    directions.push(internship ? '前端开发实习生' : '前端开发工程师');\n  }\n  if (/全栈/i.test(source) || ((has('React') || has('Vue')) && (has('Node.js') || has('Java') || has('Python')))) {\n    directions.push(internship ? '全栈开发实习生' : '全栈开发工程师');\n  }\n  if (/ai应用|人工智能应用|智能体|rag|大模型|llm/i.test(source) || ['RAG','LLM','AI Agent'].some(has)) {\n    directions.push(internship ? 'AI 应用开发实习生' : 'AI 应用开发工程师');\n  }\n  if (/数据可视化|echarts|d3/i.test(source) || has('数据可视化') || has('ECharts') || has('D3.js')) {\n    directions.push('数据可视化开发工程师');\n  }\n  if (/后端|服务端/i.test(source) || ['Spring Boot','Java','Node.js','Python','Go'].filter(has).length >= 2) {\n    directions.push(internship ? '后端开发实习生' : '后端开发工程师');\n  }\n  if (!directions.length) directions.push(internship ? '软件开发实习生' : '软件开发工程师');\n  return uniq(directions).slice(0, 3);\n}\n\nfunction buildSearchKeywords(directions, skills) {\n  const keywords = [...directions];\n  const joined = directions.join(' ');\n  if (/前端/.test(joined)) {\n    keywords.push('前端开发', 'Web 前端', 'JavaScript 开发');\n    if (skills.includes('React')) keywords.push('React 开发');\n    if (skills.includes('Vue')) keywords.push('Vue 开发');\n    if (skills.includes('TypeScript')) keywords.push('TypeScript 前端');\n  }\n  if (/全栈/.test(joined)) keywords.push('全栈开发', 'Web 全栈');\n  if (/AI 应用/.test(joined)) {\n    keywords.push('AI 应用开发');\n    if (skills.includes('RAG')) keywords.push('RAG 应用开发');\n    if (skills.includes('AI Agent')) keywords.push('AI Agent 开发');\n  }\n  if (/数据可视化/.test(joined)) keywords.push('数据可视化', '可视化前端');\n  if (/后端/.test(joined)) keywords.push('后端开发', '服务端开发');\n  return uniq(keywords).slice(0, 12);\n}\n\nfunction explainProfileFallbackReason(reason = '', kind = '') {\n  const message = String(reason || '').trim();\n  const resolvedKind = kind || aiFailureKind({ message });\n  if (!message) return '';\n  if (resolvedKind === 'config-missing') {\n    return 'AI 尚未配置；本次未调用 AI，当前初稿全部来自本地规则。';\n  }\n  if (resolvedKind === 'service-error') {\n    return 'AI 请求没有成功；本次画像未使用 AI，当前初稿全部来自本地规则。';\n  }\n  return 'AI 连接可用，但返回内容未通过完整性校验；系统已自动精简重试，仍未成功，因此本次初稿全部来自本地规则。';\n}\n\nfunction validateGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  const directions = normalizeStringList(profile.primaryDirections, 3);\n  const keywords = normalizeStringList(profile.searchKeywords, 12);\n  const summary = String(profile.summary || '').trim();\n  if (!directions.length || !keywords.length || summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.facts || typeof profile.facts !== 'object' || Array.isArray(profile.facts)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.hardConstraints || typeof profile.hardConstraints !== 'object' || Array.isArray(profile.hardConstraints)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  return profile;\n}\n\nfunction validateCompactGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  const normalized = {\n    summary: String(profile.summary || '').trim(),\n    primaryDirections: normalizeStringList(profile.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile.searchKeywords, 12),\n    skills: normalizeStringList(profile.skills, 30),\n    locations: normalizeStringList(profile.locations, 20),\n    employmentTypes: normalizeStringList(profile.employmentTypes, 10),\n    salary: String(profile.salary || '').trim(),\n    experience: String(profile.experience || '').trim(),\n    degree: String(profile.degree || '').trim(),\n    excludeDirections: normalizeStringList(profile.excludeDirections, 20)\n  };\n  if (!normalized.primaryDirections.length || !normalized.searchKeywords.length || normalized.summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  return normalized;\n}\n\nfunction buildLocalProfile(resumeText, reason = '', failureKind = '') {\n  const text = cleanResumeText(resumeText);\n  if (text.length < 30) throw new Error('简历内容太少，暂时无法生成职业画像');\n  const skills = extractSkills(text);\n  const primaryDirections = inferDirections(text, skills);\n  const searchKeywords = buildSearchKeywords(primaryDirections, skills);\n  const degree = extractDegree(text);\n  const locations = extractLocations(text);\n  const internship = /实习|在校|应届|校招/i.test(text);\n  const employmentTypes = internship ? ['实习', '校招'] : ['全职'];\n  const experience = internship ? '在校/应届' : '按岗位要求匹配';\n  const topSkills = skills.slice(0, 7);\n  const summaryParts = [];\n  if (degree !== '不限') summaryParts.push(`${degree}${internship ? '在读或应届' : '背景'}`);\n  if (topSkills.length) summaryParts.push(`具备 ${topSkills.join('、')} 等技能或项目经验`);\n  summaryParts.push(`主要关注 ${primaryDirections.join('、')} 方向`);\n\n  const education = lineMatches(text, /大学|学院|本科|硕士|博士|教育经历|专业/i, 6);\n  const experiences = lineMatches(text, /实习|工作经历|公司|负责|任职|助理|工程师/i, 8);\n  const projects = lineMatches(text, /项目|系统|平台|工作台|GitHub|开发|实现|搭建|设计/i, 10);\n  const certificates = lineMatches(text, /证书|CET|英语六级|英语四级|资格|获奖|奖项/i, 6);\n  const resolvedKind = failureKind || (reason ? aiFailureKind({ message: reason }) : 'not-requested');\n\n  return normalizeProfile({\n    facts: { education, experiences, projects, skills, certificates },\n    primaryDirections: primaryDirections.map(name => ({ name, confidence: 0.72, evidence: ['根据简历中的技能、项目和求职阶段生成'] })),\n    secondaryDirections: [],\n    searchKeywords,\n    hardConstraints: {\n      locations,\n      employmentTypes,\n      salary: '不限',\n      experience,\n      degree\n    },\n    excludeDirections: [],\n    summary: `${summaryParts.join('，')}。`,\n    generation: {\n      mode: 'local-fallback',\n      label: '本地规则初稿',\n      aiStatus: resolvedKind,\n      warning: explainProfileFallbackReason(reason, resolvedKind),\n      technicalReason: String(reason || ''),\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction mergeProfileWithFallback(aiProfile, fallbackProfile, generation = null) {\n  const ai = aiProfile && typeof aiProfile === 'object' ? aiProfile : {};\n  const aiFacts = ai.facts && typeof ai.facts === 'object' ? ai.facts : {};\n  const fallbackFacts = fallbackProfile.facts || {};\n  const hard = ai.hardConstraints && typeof ai.hardConstraints === 'object' ? ai.hardConstraints : {};\n  const fallbackHard = fallbackProfile.hardConstraints || {};\n  return normalizeProfile({\n    ...fallbackProfile,\n    ...ai,\n    facts: {\n      ...fallbackFacts,\n      ...aiFacts,\n      education: Array.isArray(aiFacts.education) && aiFacts.education.length ? aiFacts.education : fallbackFacts.education,\n      experiences: Array.isArray(aiFacts.experiences) && aiFacts.experiences.length ? aiFacts.experiences : fallbackFacts.experiences,\n      projects: Array.isArray(aiFacts.projects) && aiFacts.projects.length ? aiFacts.projects : fallbackFacts.projects,\n      skills: normalizeStringList(aiFacts.skills).length ? aiFacts.skills : fallbackFacts.skills,\n      certificates: Array.isArray(aiFacts.certificates) && aiFacts.certificates.length ? aiFacts.certificates : fallbackFacts.certificates\n    },\n    primaryDirections: normalizeStringList(ai.primaryDirections, 3).length ? ai.primaryDirections : fallbackProfile.primaryDirections,\n    searchKeywords: normalizeStringList(ai.searchKeywords, 12).length ? ai.searchKeywords : fallbackProfile.searchKeywords,\n    hardConstraints: {\n      ...fallbackHard,\n      ...hard,\n      locations: normalizeStringList(hard.locations).length ? hard.locations : fallbackHard.locations,\n      employmentTypes: normalizeStringList(hard.employmentTypes).length ? hard.employmentTypes : fallbackHard.employmentTypes,\n      salary: String(hard.salary || fallbackHard.salary || '不限'),\n      experience: String(hard.experience || fallbackHard.experience || ''),\n      degree: String(hard.degree || fallbackHard.degree || '不限')\n    },\n    summary: String(ai.summary || fallbackProfile.summary),\n    generation: generation || {\n      mode: 'ai-assisted',\n      label: 'AI 完整画像',\n      aiStatus: 'success',\n      warning: 'AI 返回的完整 JSON 已通过校验；仅对可选空字段使用本地规则补齐。',\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction compactProfileToFull(compact, fallback) {\n  return {\n    facts: {\n      ...(fallback.facts || {}),\n      skills: compact.skills.length ? compact.skills : fallback.facts?.skills || []\n    },\n    primaryDirections: compact.primaryDirections,\n    secondaryDirections: [],\n    searchKeywords: compact.searchKeywords,\n    hardConstraints: {\n      ...(fallback.hardConstraints || {}),\n      locations: compact.locations.length ? compact.locations : fallback.hardConstraints?.locations || [],\n      employmentTypes: compact.employmentTypes.length ? compact.employmentTypes : fallback.hardConstraints?.employmentTypes || [],\n      salary: compact.salary || fallback.hardConstraints?.salary || '不限',\n      experience: compact.experience || fallback.hardConstraints?.experience || '',\n      degree: compact.degree || fallback.hardConstraints?.degree || '不限'\n    },\n    excludeDirections: compact.excludeDirections,\n    summary: compact.summary\n  };\n}\n\nasync function buildProfile(resumeText) {\n  const text = cleanResumeText(resumeText);\n  const fallback = buildLocalProfile(text);\n  const schema = '{\"facts\":{\"education\":[],\"experiences\":[],\"projects\":[],\"skills\":[],\"certificates\":[]},\"primaryDirections\":[{\"name\":\"\",\"confidence\":0,\"evidence\":[]}],\"secondaryDirections\":[],\"searchKeywords\":[],\"hardConstraints\":{\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\"},\"excludeDirections\":[],\"summary\":\"\"}';\n  let firstError = null;\n  try {\n    const profile = validateGeneratedProfile(await callModel([\n      {\n        role: 'system',\n        content: `你是严格的职业画像分析器。只能使用简历真实事实，不能根据项目业务场景推断用户职业。主方向最多3个，搜索词必须是真实岗位名称。数组必须精简，教育/经历/项目各最多4条，每条不超过80字，技能最多15个，摘要不超过180字。即使信息不完整，也必须给出可编辑初稿，禁止返回空内容。输出严格 JSON：${schema}`\n      },\n      { role: 'user', content: text.slice(0, 22000) }\n    ], true, { maxTokens: 4200, temperature: 0.05 }));\n    return mergeProfileWithFallback(profile, fallback);\n  } catch (error) {\n    firstError = error;\n  }\n\n  // 连接正常但完整画像输出过长、JSON 不完整或字段校验失败时，自动改用精简结构重试。\n  if (isRetryableAiOutputError(firstError)) {\n    const compactSchema = '{\"summary\":\"\",\"primaryDirections\":[],\"searchKeywords\":[],\"skills\":[],\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\",\"excludeDirections\":[]}';\n    try {\n      const compact = validateCompactGeneratedProfile(await callModel([\n        {\n          role: 'system',\n          content: `你是求职职业画像分析器。只使用简历事实。请输出极简 JSON，不要解释，不要证据长句。摘要120字以内；主方向最多3个；搜索词最多10个；技能最多12个；其余字段简短。输出结构：${compactSchema}`\n        },\n        { role: 'user', content: text.slice(0, 18000) }\n      ], true, { maxTokens: 2200, temperature: 0.05 }));\n      return mergeProfileWithFallback(compactProfileToFull(compact, fallback), fallback, {\n        mode: 'ai-compact-retry',\n        label: 'AI 精简重试结果',\n        aiStatus: 'success-after-retry',\n        warning: 'AI 连接正常。首次完整画像输出未完成，系统已自动精简重试并成功采用 AI 结果。',\n        technicalReason: String(firstError?.message || ''),\n        generatedAt: Date.now()\n      });\n    } catch (retryError) {\n      const combined = `${firstError?.message || 'AI 首次输出未通过'}；精简重试：${retryError?.message || '失败'}`;\n      return buildLocalProfile(text, combined, aiFailureKind(firstError));\n    }\n  }\n\n  return buildLocalProfile(text, firstError?.message || 'AI 生成失败', aiFailureKind(firstError));\n}\n\n\nfunction normalizeStringList(value, limit = 30) {\n  const values = Array.isArray(value) ? value : String(value || '').split(/[，,\\n]/);\n  return uniq(values.map(item => typeof item === 'string' ? item.trim() : String(item?.name || item?.title || '').trim()))\n    .filter(Boolean)\n    .slice(0, limit);\n}\n\nfunction normalizeDirections(value, existing = []) {\n  const previous = new Map((Array.isArray(existing) ? existing : []).map(item => {\n    const name = typeof item === 'string' ? item : item?.name;\n    return [String(name || '').trim(), item];\n  }));\n  return normalizeStringList(value, 3).map(name => {\n    const old = previous.get(name);\n    if (old && typeof old === 'object') return { ...old, name };\n    return { name, confidence: 1, evidence: ['用户手动编辑'] };\n  });\n}\n\nfunction normalizeProfile(incoming, current = null) {\n  const base = current && typeof current === 'object' ? current : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const profile = {\n    ...base,\n    ...next,\n    facts: {\n      education: [], experiences: [], projects: [], skills: [], certificates: [],\n      ...(base.facts || {}),\n      ...(next.facts || {}),\n      skills: normalizeStringList(next.facts?.skills ?? base.facts?.skills, 40)\n    },\n    primaryDirections: normalizeDirections(next.primaryDirections ?? base.primaryDirections, base.primaryDirections),\n    secondaryDirections: normalizeStringList(next.secondaryDirections ?? base.secondaryDirections, 10),\n    searchKeywords: normalizeStringList(next.searchKeywords ?? base.searchKeywords, 12),\n    excludeDirections: normalizeStringList(next.excludeDirections ?? base.excludeDirections, 20),\n    hardConstraints: {\n      locations: [], employmentTypes: [], salary: '', experience: '', degree: '',\n      ...(base.hardConstraints || {}),\n      ...(next.hardConstraints || {})\n    },\n    summary: String(next.summary ?? base.summary ?? '').trim(),\n    editedAt: Date.now()\n  };\n  profile.hardConstraints.locations = normalizeStringList(profile.hardConstraints.locations, 20);\n  profile.hardConstraints.employmentTypes = normalizeStringList(profile.hardConstraints.employmentTypes, 10);\n  profile.hardConstraints.salary = String(profile.hardConstraints.salary || '').trim();\n  profile.hardConstraints.experience = String(profile.hardConstraints.experience || '').trim();\n  profile.hardConstraints.degree = String(profile.hardConstraints.degree || '').trim();\n  if (!profile.primaryDirections.length) throw new Error('职业画像至少需要一个主方向');\n  if (!profile.searchKeywords.length) throw new Error('职业画像至少需要一个岗位搜索词');\n  return profile;\n}\n\n\nfunction profileHasCore(profile) {\n  return Boolean(\n    normalizeStringList(profile?.primaryDirections, 3).length &&\n    normalizeStringList(profile?.searchKeywords, 12).length\n  );\n}\n\nfunction normalizeProfileDraft(incoming, fallback = null) {\n  const base = fallback && typeof fallback === 'object' ? fallback : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const chooseList = (key, limit = 30) => Object.prototype.hasOwnProperty.call(next, key)\n    ? normalizeStringList(next[key], limit)\n    : normalizeStringList(base[key], limit);\n  const chooseText = key => Object.prototype.hasOwnProperty.call(next, key)\n    ? String(next[key] || '').trim()\n    : String(base[key] || '').trim();\n  return {\n    summary: chooseText('summary'),\n    primaryDirections: chooseList('primaryDirections', 3),\n    searchKeywords: chooseList('searchKeywords', 12),\n    skills: chooseList('skills', 40),\n    locations: chooseList('locations', 20),\n    employmentTypes: chooseList('employmentTypes', 10),\n    experience: chooseText('experience'),\n    degree: chooseText('degree'),\n    salary: chooseText('salary'),\n    excludeDirections: chooseList('excludeDirections', 20),\n    source: String(next.source || base.source || 'draft'),\n    updatedAt: Number(next.updatedAt || Date.now())\n  };\n}\n\nfunction profileDraftHasCore(draft) {\n  return Boolean(\n    normalizeStringList(draft?.primaryDirections, 3).length &&\n    normalizeStringList(draft?.searchKeywords, 12).length\n  );\n}\n\nfunction profileDraftHasAny(draft) {\n  if (!draft || typeof draft !== 'object') return false;\n  return Boolean(\n    String(draft.summary || '').trim() ||\n    normalizeStringList(draft.primaryDirections).length ||\n    normalizeStringList(draft.searchKeywords).length ||\n    normalizeStringList(draft.skills).length ||\n    normalizeStringList(draft.locations).length ||\n    normalizeStringList(draft.employmentTypes).length ||\n    String(draft.experience || '').trim() ||\n    String(draft.degree || '').trim() ||\n    String(draft.salary || '').trim() ||\n    normalizeStringList(draft.excludeDirections).length\n  );\n}\n\nfunction profileToDraft(profile, source = 'generated') {\n  const hard = profile?.hardConstraints || {};\n  return normalizeProfileDraft({\n    summary: profile?.summary || '',\n    primaryDirections: normalizeStringList(profile?.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile?.searchKeywords, 12),\n    skills: normalizeStringList(profile?.facts?.skills, 40),\n    locations: normalizeStringList(hard.locations, 20),\n    employmentTypes: normalizeStringList(hard.employmentTypes, 10),\n    experience: hard.experience || '',\n    degree: hard.degree || '',\n    salary: hard.salary || '',\n    excludeDirections: normalizeStringList(profile?.excludeDirections, 20),\n    source,\n    updatedAt: Date.now()\n  });\n}\n\nfunction profileFromDraft(draft, currentProfile = null) {\n  const normalized = normalizeProfileDraft(draft);\n  return normalizeProfile({\n    ...(currentProfile || {}),\n    summary: normalized.summary,\n    primaryDirections: normalized.primaryDirections,\n    searchKeywords: normalized.searchKeywords,\n    excludeDirections: normalized.excludeDirections,\n    facts: {\n      ...(currentProfile?.facts || {}),\n      skills: normalized.skills\n    },\n    hardConstraints: {\n      ...(currentProfile?.hardConstraints || {}),\n      locations: normalized.locations,\n      employmentTypes: normalized.employmentTypes,\n      experience: normalized.experience,\n      degree: normalized.degree,\n      salary: normalized.salary\n    }\n  }, currentProfile);\n}\n\n\nfunction clampNumber(value, min, max, fallback = min) {\n  const number = Number(value);\n  return Number.isFinite(number) ? Math.max(min, Math.min(max, number)) : fallback;\n}\n\nfunction normalizeDirectionKey(value) {\n  return String(value || '')\n    .toLowerCase()\n    .replace(/实习生|工程师|开发|岗位|职位|校招|社招|应届/g, '')\n    .replace(/[\\s,，/\\\\|·•()（）【】\\[\\]_-]+/g, '')\n    .trim();\n}\n\nfunction stableDirectionId(name, source = 'profile') {\n  const input = `${source}:${normalizeDirectionKey(name) || String(name || '').trim().toLowerCase()}`;\n  let hash = 2166136261;\n  for (let index = 0; index < input.length; index += 1) {\n    hash ^= input.charCodeAt(index);\n    hash = Math.imul(hash, 16777619);\n  }\n  return `direction_${(hash >>> 0).toString(36)}`;\n}\n\nconst DIRECTION_PRESETS = [\n  {\n    test: /前端|web|react|vue|javascript|typescript/i,\n    keywords: ['前端开发实习生', 'Web前端实习生', 'React开发实习生', 'Vue开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'HTML', 'CSS', 'React', 'Vue', 'Next.js', 'Vite', 'Webpack'],\n    gapSkills: ['工程化', '性能优化', '组件库']\n  },\n  {\n    test: /ai应用|人工智能应用|大模型|agent|rag|llm/i,\n    keywords: ['AI应用开发实习生', 'AI Agent实习生', 'RAG应用开发实习生', '大模型应用开发实习生'],\n    relevantSkills: ['AI Agent', 'RAG', 'Python', 'TypeScript', 'React', 'Node.js', 'OCR'],\n    gapSkills: ['Python', '模型评测', '向量数据库']\n  },\n  {\n    test: /全栈|full.?stack|前后端/i,\n    keywords: ['全栈开发实习生', 'Web全栈实习生', '前后端开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'React', 'Vue', 'Node.js', 'Express', 'MySQL'],\n    gapSkills: ['后端接口', '数据库', '部署运维']\n  },\n  {\n    test: /开发者工具|研发工具|桌面端|tauri|electron|工具开发/i,\n    keywords: ['开发者工具实习生', '研发工具开发实习生', '桌面端开发实习生', '平台工具开发实习生'],\n    relevantSkills: ['Tauri', 'Electron', 'TypeScript', 'React', 'Rust', 'Node.js', 'OCR'],\n    gapSkills: ['跨平台工程化', '桌面端发布', '系统 API']\n  },\n  {\n    test: /数据可视化|可视化|echarts|大屏/i,\n    keywords: ['数据可视化实习生', '前端可视化实习生', 'ECharts开发实习生'],\n    relevantSkills: ['ECharts', 'JavaScript', 'TypeScript', 'React', 'Vue', '数据处理'],\n    gapSkills: ['图形性能优化', '复杂交互', '可视化工程化']\n  },\n  {\n    test: /后端|java|node|服务端/i,\n    keywords: ['后端开发实习生', 'Node.js开发实习生', 'Java开发实习生'],\n    relevantSkills: ['Java', 'Node.js', 'Express', 'MySQL', 'Redis', 'Spring'],\n    gapSkills: ['数据库', '缓存', '接口设计']\n  }\n];\n\nfunction directionPreset(name) {\n  return DIRECTION_PRESETS.find(item => item.test.test(String(name || ''))) || null;\n}\n\nfunction normalizedSkillSet(profile = {}) {\n  return new Map(normalizeStringList(profile?.facts?.skills, 50).map(skill => [normalizeDirectionKey(skill), skill]));\n}\n\nfunction buildDirectionKeywords(name, profile = {}) {\n  const allKeywords = normalizeStringList(profile?.searchKeywords, 30);\n  const nameKey = normalizeDirectionKey(name);\n  const preset = directionPreset(name);\n  const matching = allKeywords.filter(keyword => {\n    const key = normalizeDirectionKey(keyword);\n    return key && (nameKey.includes(key) || key.includes(nameKey) || [...nameKey].filter(char => key.includes(char)).length >= Math.min(3, nameKey.length));\n  });\n  return uniq([name, ...matching, ...(preset?.keywords || [])]).filter(Boolean).slice(0, 8);\n}\n\nfunction buildDirectionEvidence(name, candidate = {}, profile = {}) {\n  const skills = normalizeStringList(profile?.facts?.skills, 30);\n  const skillMap = normalizedSkillSet(profile);\n  const preset = directionPreset(name);\n  const relevant = (preset?.relevantSkills || skills).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return skillMap.has(key) || skills.some(current => normalizeDirectionKey(current).includes(key) || key.includes(normalizeDirectionKey(current)));\n  });\n  const matchedSkills = uniq(relevant.length ? relevant : skills.slice(0, 4)).slice(0, 5);\n  const gaps = (preset?.gapSkills || []).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return ![...skillMap.keys()].some(existing => existing.includes(key) || key.includes(existing));\n  }).slice(0, 3);\n  const evidence = normalizeStringList(candidate?.evidence, 3);\n  const reason = evidence.length\n    ? `职业画像中已提取到：${evidence.join('；')}`.slice(0, 160)\n    : matchedSkills.length\n      ? `与简历中的 ${matchedSkills.join('、')} 技能和项目经历匹配。`\n      : `该方向来自职业画像中的主要求职方向，可继续人工调整。`;\n  return { matchedSkills, gaps, reason };\n}\n\nfunction normalizeDirectionItem(item = {}, index = 0) {\n  const name = String(item.name || item.title || '').trim().slice(0, 60);\n  const source = item.source === 'custom' || item.custom ? 'custom' : 'profile';\n  const id = String(item.id || stableDirectionId(name || `custom-${index}`, source));\n  return {\n    id,\n    source,\n    custom: source === 'custom',\n    sourceName: String(item.sourceName || name).trim().slice(0, 60),\n    name,\n    enabled: item.enabled !== false,\n    priority: Math.round(clampNumber(item.priority, 1, 99, index + 1)),\n    score: Math.round(clampNumber(item.score, 0, 100, source === 'custom' ? 70 : Math.max(60, 88 - index * 7))),\n    reason: String(item.reason || (source === 'custom' ? '用户自定义岗位方向。' : '根据职业画像推荐。')).trim().slice(0, 240),\n    matchedSkills: normalizeStringList(item.matchedSkills, 8),\n    gaps: normalizeStringList(item.gaps, 6),\n    keywords: uniq(normalizeStringList(item.keywords, 12).length ? normalizeStringList(item.keywords, 12) : [name]).slice(0, 12),\n    updatedAt: Number(item.updatedAt || Date.now())\n  };\n}\n\nfunction profileDirectionSignature(profile = {}) {\n  return JSON.stringify({\n    directions: normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 6).map(normalizeDirectionKey),\n    keywords: normalizeStringList(profile?.searchKeywords, 20).map(normalizeDirectionKey)\n  });\n}\n\nfunction normalizeDirectionPlan(plan, profile = null, options = {}) {\n  const items = (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score)\n    .slice(0, 12)\n    .map((item, index) => ({ ...item, priority: index + 1 }));\n  return {\n    version: 1,\n    items,\n    confirmed: options.confirmed ?? Boolean(plan?.confirmed),\n    updatedAt: Number(options.updatedAt || plan?.updatedAt || Date.now()),\n    appliedAt: Number(options.appliedAt || plan?.appliedAt || 0),\n    profileSignature: String(options.profileSignature || plan?.profileSignature || profileDirectionSignature(profile)).slice(0, 600)\n  };\n}\n\nfunction buildDirectionPlan(profile = {}, currentPlan = null, options = {}) {\n  const primary = Array.isArray(profile?.primaryDirections) ? profile.primaryDirections : [];\n  const secondary = Array.isArray(profile?.secondaryDirections) ? profile.secondaryDirections : [];\n  const searchKeywords = normalizeStringList(profile?.searchKeywords, 20);\n  const candidates = [];\n  for (const item of [...primary, ...secondary]) {\n    const name = String(typeof item === 'string' ? item : item?.name || '').trim();\n    if (!name || candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(name))) continue;\n    candidates.push({ name, raw: typeof item === 'object' ? item : {} });\n  }\n  for (const keyword of searchKeywords) {\n    if (candidates.length >= 6) break;\n    if (!/开发|工程师|实习生|前端|后端|全栈|AI|人工智能|工具|可视化/i.test(keyword)) continue;\n    if (candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(keyword))) continue;\n    candidates.push({ name: keyword, raw: {} });\n  }\n  if (!candidates.length) candidates.push({ name: '目标岗位', raw: {} });\n\n  const existing = new Map((currentPlan?.items || []).map(item => [String(item.id || ''), item]));\n  const generated = candidates.slice(0, 6).map((candidate, index) => {\n    const id = stableDirectionId(candidate.name, 'profile');\n    const previous = existing.get(id);\n    const confidence = Number(candidate.raw?.confidence);\n    const score = Number.isFinite(confidence)\n      ? Math.round(confidence <= 1 ? confidence * 100 : confidence)\n      : Math.max(62, 90 - index * 7);\n    const evidence = buildDirectionEvidence(candidate.name, candidate.raw, profile);\n    return normalizeDirectionItem({\n      id,\n      source: 'profile',\n      sourceName: candidate.name,\n      name: options.preserveEdits && previous?.name ? previous.name : candidate.name,\n      enabled: options.preserveSelections && previous ? previous.enabled : index < 3,\n      priority: previous?.priority || index + 1,\n      score,\n      reason: evidence.reason,\n      matchedSkills: evidence.matchedSkills,\n      gaps: evidence.gaps,\n      keywords: options.preserveEdits && previous?.keywords?.length\n        ? previous.keywords\n        : buildDirectionKeywords(candidate.name, profile)\n    }, index);\n  });\n  const custom = options.preserveCustom === false ? [] : (currentPlan?.items || [])\n    .filter(item => item?.source === 'custom' || item?.custom)\n    .map((item, index) => normalizeDirectionItem(item, generated.length + index));\n  return normalizeDirectionPlan({\n    items: [...generated, ...custom],\n    confirmed: options.confirmed ?? false,\n    updatedAt: Date.now(),\n    appliedAt: options.confirmed ? Date.now() : Number(currentPlan?.appliedAt || 0)\n  }, profile, { confirmed: options.confirmed ?? false, updatedAt: Date.now() });\n}\n\nfunction selectedDirectionItems(plan = {}) {\n  return (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.enabled && item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score);\n}\n\nfunction fallbackApplicantGreeting(job, profile) {\n  const title = String(job?.title || '该岗位').trim();\n  const skills = normalizeStringList(profile?.facts?.skills, 4);\n  const direction = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 2);\n  const evidence = skills.length ? `我的简历中有${skills.slice(0, 3).join('、')}相关项目与实践` : (profile?.summary || direction.join('、'));\n  const target = `贵公司的${title}`;\n  return `您好，我想应聘${target}岗位。${evidence ? `${evidence}，` : ''}对岗位的工作内容很感兴趣。方便的话希望进一步了解岗位和团队，谢谢。`\n    .replace(/。{2,}/g, '。')\n    .slice(0, 140);\n}\n\nfunction normalizeApplicantGreeting(result, job, profile) {\n  const raw = String(result?.greeting || '').trim();\n  const reversed = /看到你的简历|你的简历|很匹配我们|匹配我们|欢迎.*沟通|期待你|候选人|我们团队|我们公司|团队主要涉及|你很匹配|方便的话来聊聊/i.test(raw);\n  const applicantVoice = /我想应聘|我希望应聘|我对.{0,20}(岗位|职位).{0,10}(感兴趣|有兴趣)|想进一步了解|希望进一步沟通/.test(raw);\n  if (!raw || reversed || !applicantVoice) return fallbackApplicantGreeting(job, profile);\n  return raw.slice(0, 160);\n}\n\nfunction fastMassAnalysis(job, profile) {\n  const jobText = [job?.title, job?.description, job?.cardText].filter(Boolean).join('\\n').toLowerCase();\n  const skills = normalizeStringList(profile?.facts?.skills, 20);\n  const directions = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 8);\n  const matchedEvidence = [];\n  for (const skill of skills) {\n    const token = String(skill || '').trim();\n    if (token && jobText.includes(token.toLowerCase())) matchedEvidence.push(token);\n  }\n  const directionMatched = directions.some(item => item && jobText.includes(String(item).toLowerCase()));\n  const score = Math.max(25, Math.min(88, 35 + matchedEvidence.length * 9 + (directionMatched ? 15 : 0)));\n  return {\n    score,\n    decision: matchedEvidence.length || directionMatched ? 'recommend' : 'cautious',\n    hardBlocks: [],\n    strictHardBlocks: [],\n    matchedEvidence: matchedEvidence.slice(0, 8),\n    gaps: [],\n    risks: [],\n    reason: '安全海投快速模式 仅做基础排序 不因技能 年限 专业或学历差距直接拦截',\n    greeting: fallbackApplicantGreeting(job, profile),\n    analysisMode: 'local-mass-fast'\n  };\n}\n\nasync function analyzeJob(job) {\n  const { profile, resumeText, config } = await storage.get(['profile', 'resumeText', 'config']);\n  if (!profile) throw new Error('请先生成职业画像');\n  const massMode = normalizeStrategy(config?.batchStrategy) === 'mass';\n  if (massMode && config?.massApplyAnalysis !== 'ai') return fastMassAnalysis(job, profile);\n  const strategyInstruction = massMode\n    ? '当前为安全海投模式。技能、技术栈、专业、学历偏差、经验年限不足和行业经历缺失通常只能放入gaps，不能直接判定reject。只有JD明确写出必须、仅限、不接受，且与用户真实条件发生不可改变冲突时，才写入hardBlocks。'\n    : '当前为精准投递模式。可以综合匹配度给出recommend、cautious或reject，但技能缺口仍应与真正不可改变的硬性冲突区分。';\n  const result = await callModel([\n    {\n      role: 'system',\n      content: `你是为求职者服务的岗位匹配审查器，不是招聘方。用户是正在应聘岗位的求职者。任何能力、年限、项目和成果都不能超出简历事实。${strategyInstruction} 输出 JSON：{\"score\":0,\"decision\":\"recommend|cautious|reject\",\"hardBlocks\":[],\"matchedEvidence\":[],\"gaps\":[],\"risks\":[],\"reason\":\"\",\"greeting\":\"\"}。greeting 是求职者发给招聘方/HR 的第一人称求职招呼语，50-110字，应使用“您好，我想应聘贵公司的……”口吻。严禁写成招聘方口吻，严禁出现“看到你的简历”“你的经历很匹配我们”“欢迎进一步沟通”“我们团队”“候选人”等表述；不得承诺薪资、到岗、年限或不存在的能力。`\n    },\n    {\n      role: 'user',\n      content: `职业画像：${JSON.stringify(profile)}\n简历：${String(resumeText || '').slice(0, 15000)}\n岗位：${JSON.stringify(job)}`\n    }\n  ]);\n  result.score = Math.max(0, Math.min(100, Number(result.score || 0)));\n  result.greeting = normalizeApplicantGreeting(result, job, profile);\n  result.hardBlocks = Array.isArray(result.hardBlocks) ? result.hardBlocks.map(item => String(item || '').trim()).filter(Boolean) : [];\n  result.strictHardBlocks = strictHardBlocks(result.hardBlocks);\n  if (result.strictHardBlocks.length) result.decision = 'reject';\n  else if (massMode && result.decision === 'reject') result.decision = 'cautious';\n  if (!massMode && result.score < Number(config?.minScore || 75) && result.decision === 'recommend') result.decision = 'cautious';\n  return result;\n}\n\nfunction createTasks(profile, config, directionPlan) {\n  const directions = selectedDirectionItems(directionPlan);\n  const locations = config.targetLocations?.length ? config.targetLocations : [''];\n  const employmentTypes = config.employmentTypes?.length ? config.employmentTypes : ['不限'];\n  const tasks = [];\n  const seen = new Set();\n  for (const direction of directions) {\n    for (const keyword of direction.keywords) {\n      for (const location of locations) {\n        for (const employmentType of employmentTypes) {\n          const dedupeKey = [keyword, location, employmentType].map(value => String(value || '').trim().toLowerCase()).join('|');\n          if (seen.has(dedupeKey)) continue;\n          seen.add(dedupeKey);\n          tasks.push({\n            id: crypto.randomUUID(),\n            directionId: direction.id,\n            directionName: direction.name,\n            directionPriority: direction.priority,\n            directionScore: direction.score,\n            keyword,\n            location,\n            employmentType,\n            experience: config.experiences?.[0] || '',\n            degree: config.degrees?.[0] || '',\n            salary: config.salary || '不限',\n            attempts: 0,\n            status: 'pending',\n            progress: 0,\n            stageLabel: '等待开始',\n            processed: 0,\n            discovered: 0,\n            analyzed: 0,\n            failed: 0,\n            createdAt: Date.now()\n          });\n        }\n      }\n    }\n  }\n  return tasks;\n}\n\n\nasync function dispatchNextAutoPending() {\n  const { pending = [], workflow = {}, config = {} } = await storage.get(['pending', 'workflow', 'config']);\n  if (config.executionMode !== 'auto') return { started: false, reason: 'not-auto' };\n  if (config.dryRun) return { started: false, reason: 'dry-run' };\n  if (workflow.pendingApplyId) return { started: false, reason: 'busy', pendingApplyId: workflow.pendingApplyId };\n  const ranked = rerankPending(pending);\n  const candidate = ranked.find(entry => entry.status === 'approved_queue');\n  if (!candidate) {\n    await storage.set({ pending: ranked });\n    return { started: false, reason: 'empty' };\n  }\n  const next = rerankPending(ranked.map(entry => entry.id === candidate.id\n    ? { ...entry, status: 'approved', approvedAt: entry.approvedAt || Date.now() }\n    : entry));\n  await storage.set({ pending: next });\n  const run = await updateTaskRunByPending(candidate.id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: `优先投递 · 队列第 ${candidate.priorityRank || 1} 位`,\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `${normalizeStrategy(config.batchStrategy) === 'mass' ? '安全海投' : '精准投递'}：${candidate.job?.title || '岗位'}（队列优先级 ${candidate.priorityRank || 1}）`,\n    pendingApplyId: candidate.id,\n    activeRunId: run?.id || candidate.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { started: true, item: candidate, queueDepth: next.filter(entry => entry.status === 'approved_queue').length };\n}\n\nasync function addPending(item) {\n  const { pending = [], config = {} } = await storage.get(['pending', 'config']);\n  let run = null;\n  if (item.runId) {\n    run = await upsertTaskRun({\n      id: item.runId,\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  } else {\n    run = await upsertTaskRun({\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  }\n  const nextItem = {\n    ...item,\n    runId: run.id,\n    id: item.id || crypto.randomUUID(),\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: config.executionMode === 'auto' && !config.dryRun ? 'approved_queue' : 'pending',\n    createdAt: Date.now()\n  };\n  await upsertTaskRun({ id: run.id, pendingId: nextItem.id });\n  const next = rerankPending([nextItem, ...pending.filter(entry => entry.id !== nextItem.id)]);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...(await storage.get('stats')).stats, pending: count } });\n  return next.find(entry => entry.id === nextItem.id) || nextItem;\n}\n\nasync function approvePending(id, greeting = '') {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const item = pending.find(entry => entry.id === id);\n  if (!item) throw new Error('待确认岗位不存在');\n  const lockedGreeting = String(greeting || item.deliveryGreeting || item.analysis?.greeting || '').trim();\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const next = pending.map(entry => entry.id === id ? {\n      ...entry,\n      deliveryGreeting: lockedGreeting,\n      analysis: { ...(entry.analysis || {}), greeting: lockedGreeting },\n      status: 'simulated',\n      completedAt\n    } : entry);\n    await storage.set({\n      pending: next,\n      stats: { ...stats, pending: next.filter(entry => entry.status === 'pending').length, simulated: Number(stats.simulated || 0) + 1 }\n    });\n    await updateTaskRunByPending(id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    await writeEvent('success', '模拟投递已通过 未执行真实发送', { id, job: item.job });\n    return next.find(entry => entry.id === id);\n  }\n  const updatedItem = {\n    ...item,\n    deliveryGreeting: lockedGreeting,\n    analysis: { ...(item.analysis || {}), greeting: lockedGreeting },\n    status: 'approved',\n    approvedAt: Date.now()\n  };\n  const next = pending.map(entry => entry.id === id ? updatedItem : entry);\n  await storage.set({ pending: next });\n  const pendingCount = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...stats, pending: pendingCount } });\n  const run = await updateTaskRunByPending(id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: '等待投递',\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `准备以求职者身份沟通：${item.job?.title || '岗位'}`,\n    pendingApplyId: id,\n    activeRunId: run?.id || item.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  return updatedItem;\n}\n\nasync function approveAllPending() {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const candidates = rerankPending(pending).filter(entry => entry.status === 'pending');\n  if (!candidates.length) return { count: 0 };\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const ids = new Set(candidates.map(entry => entry.id));\n    const next = pending.map(entry => ids.has(entry.id) ? { ...entry, status: 'simulated', completedAt } : entry);\n    await storage.set({ pending: next, stats: { ...stats, pending: 0, simulated: Number(stats.simulated || 0) + candidates.length } });\n    for (const candidate of candidates) {\n      await updateTaskRunByPending(candidate.id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    }\n    await writeEvent('success', `已完成${candidates.length}个岗位的模拟投递 未执行真实发送`);\n    return { count: candidates.length, simulated: true };\n  }\n  const ids = new Set(candidates.map(entry => entry.id));\n  const next = pending.map(entry => ids.has(entry.id)\n    ? { ...entry, status: 'approved_queue', approvedAt: Date.now() }\n    : entry);\n  const first = candidates[0];\n  await storage.set({ pending: next });\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const [index, candidate] of candidates.entries()) {\n    await updateTaskRunByPending(candidate.id, {\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'queued',\n      progress: 64,\n      stageLabel: index === 0 ? '准备投递' : '批量队列等待中',\n      error: '',\n      retryable: true,\n      completedAt: null\n    });\n  }\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `批量投递 1/${candidates.length}：${first.job?.title || '岗位'}`,\n    pendingApplyId: first.id,\n    activeRunId: first.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { count: candidates.length };\n}\n\nasync function rejectAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const count = pending.filter(entry => entry.status === 'pending').length;\n  const next = pending.map(entry => entry.status === 'pending'\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const item of pending.filter(entry => entry.status === 'pending')) {\n    await updateTaskRunByPending(item.id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n  }\n  return { count };\n}\n\nasync function rejectPending(id) {\n  const { pending = [] } = await storage.get('pending');\n  const next = pending.map(entry => entry.id === id ? { ...entry, status: 'rejected', rejectedAt: Date.now() } : entry);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: count } });\n  await updateTaskRunByPending(id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\n\nasync function skipPendingTask(id, reason = '该岗位需要外部网申，已自动跳过', stageLabel = '外部网申岗位已跳过') {\n  const { pending = [], stats = {}, config = {}, chatTransition = null } = await storage.get(['pending', 'stats', 'config', 'chatTransition']);\n  const completedAt = Date.now();\n  let skippedItem = null;\n  let next = pending.map(entry => {\n    if (entry.id !== id) return entry;\n    skippedItem = { ...entry, status: 'skipped', completedAt, error: reason };\n    return skippedItem;\n  });\n  const updatedStats = {\n    ...stats,\n    pending: next.filter(entry => entry.status === 'pending').length\n  };\n  await storage.set({ pending: next, stats: updatedStats, chatTransition: chatTransition?.pendingId === id ? null : chatTransition });\n  const run = await updateTaskRunByPending(id, {\n    status: 'skipped', stage: 'skipped', progress: 100,\n    stageLabel, error: reason, retryable: false, completedAt\n  });\n  await writeEvent('info', stageLabel, {\n    id,\n    runId: run?.id || skippedItem?.runId || '',\n    job: skippedItem?.job,\n    reason\n  });\n\n  next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n  if (queued) {\n    next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n    await storage.set({ pending: next });\n    const queuedRun = await updateTaskRunByPending(queued.id, {\n      status: 'running', stage: 'queued', progress: 64,\n      stageLabel: '准备投递', error: '', completedAt: null\n    });\n    await patchWorkflow({\n      pendingApplyId: queued.id,\n      activeRunId: queuedRun?.id || queued.runId || null,\n      running: true,\n      paused: false,\n      phase: 'apply',\n      statusText: `已跳过外部网申岗位，继续投递：${queued.job?.title || '岗位'}`\n    });\n  } else {\n    await patchWorkflow({\n      pendingApplyId: null,\n      activeRunId: null,\n      running: true,\n      paused: false,\n      phase: 'search',\n      statusText: '外部网申岗位已跳过，继续搜索可直接沟通岗位'\n    });\n  }\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), Math.max(3000, Math.min(10000, Number(config.betweenJobsSeconds || 5) * 1000)));\n  return { item: skippedItem, queued: queued || null };\n}\n\nasync function handleBridgeCommands() {\n  try {\n    const response = await bridge('/commands');\n    for (const command of response.commands || []) {\n      if (command.type === 'start') {\n        await patchWorkflow({ running: true, paused: false, statusText: '由 OpenClaw 启动' });\n        await sendToBoss({ type: 'RUN' });\n      } else if (command.type === 'pause') {\n        await patchWorkflow({ paused: true, statusText: '由 OpenClaw 暂停' });\n      } else if (command.type === 'stop') {\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '由 OpenClaw 停止' });\n      }\n    }\n  } catch {\n    // 桌面桥接未运行时保持浏览器扩展独立可用。\n  }\n}\n\nchrome.runtime.onInstalled.addListener(init);\nchrome.runtime.onStartup.addListener(init);\ninit();\n\nchrome.alarms.onAlarm.addListener(async alarm => {\n  if (alarm.name === 'jobclaw-update-check') {\n    await checkForUpdates(false).catch(() => {});\n    return;\n  }\n  if (alarm.name !== 'jobclaw-tick') return;\n  const { workflow } = await storage.get('workflow');\n  if (workflow?.running && !workflow.paused) sendToBoss({ type: 'RUN' }).catch(() => {});\n  handleBridgeCommands();\n  syncBridgeSnapshot(false).catch(() => {});\n});\n\nchrome.runtime.onMessage.addListener((message, sender, reply) => {\n  (async () => {\n    switch (message?.type) {\n      case 'TRUSTED_CHAT_INPUT': {\n        const tabId = sender?.tab?.id;\n        const url = String(sender?.tab?.url || '');\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('可信输入只能用于当前 BOSS 页面');\n        const result = await trustedChatInput(tabId, message);\n        reply({ ok: true, ...result });\n        break;\n      }\n      case 'RATE_LIMIT': {\n        reply(await enforceRateLimit(message.scope || 'discovery'));\n        break;\n      }\n      case 'SAFETY_OUTCOME': {\n        const state = await applySafetyOutcome({ ok: message.ok !== false, reason: message.reason || '' });\n        reply({ ok: true, state });\n        break;\n      }\n      case 'RESET_SAFETY': {\n        reply({ ok: true, state: await clearSafetyCircuit() });\n        break;\n      }\n      case 'JOB_PREFLIGHT': {\n        reply(await preflightJob(message.job || {}));\n        break;\n      }\n      case 'VERIFY_COMPANY': {\n        reply({ ok: true, result: await verifyCompanyForJob(message.job || {}, Boolean(message.force)) });\n        break;\n      }\n      case 'EVALUATE_STRATEGY': {\n        const { config = {} } = await storage.get('config');\n        const result = evaluateStrategy({\n          strategy: config.batchStrategy,\n          score: message.score,\n          minScore: config.minScore,\n          riskLevel: message.riskLevel || 'unknown',\n          verified: Boolean(message.verified),\n          decision: message.decision || 'cautious',\n          hardBlocks: message.hardBlocks || []\n        });\n        reply({ ok: true, result });\n        break;\n      }\n      case 'CHECK_UPDATE': {\n        reply({ ok: true, result: await checkForUpdates(Boolean(message.force)) });\n        break;\n      }\n      case 'OPEN_UPDATE': {\n        const { updateInfo = {} } = await storage.get('updateInfo');\n        const url = String(message.url || updateInfo.url || 'https://github.com/Chrisbetheking/job-claw/releases');\n        await chrome.tabs.create({ url });\n        reply({ ok: true });\n        break;\n      }\n      case 'GET_STATE':\n        reply({ ok: true, state: publicState(await storage.all()) });\n        break;\n      case 'SAVE_CONFIG': {\n        const { config } = await storage.get('config');\n        const incoming = message.config || {};\n        const oldKey = config?.model?.apiKey || '';\n        incoming.model = {\n          ...(config?.model || {}),\n          ...(incoming.model || {}),\n          apiKey: incoming.model?.apiKey && incoming.model.apiKey !== '***'\n            ? incoming.model.apiKey\n            : oldKey\n        };\n        incoming.executionMode = incoming.executionMode === 'auto' ? 'auto' : 'review';\n        incoming.batchStrategy = normalizeStrategy(incoming.batchStrategy || config?.batchStrategy || 'precise');\n        incoming.massApplyAnalysis = ['fast', 'ai'].includes(incoming.massApplyAnalysis) ? incoming.massApplyAnalysis : (config?.massApplyAnalysis || 'fast');\n        incoming.pacingPreset = ['conservative', 'standard', 'efficient', 'custom'].includes(incoming.pacingPreset) ? incoming.pacingPreset : (config?.pacingPreset || 'standard');\n        incoming.dryRun = Boolean(incoming.dryRun);\n        incoming.dailyTarget = Math.max(1, Math.min(150, Number(incoming.dailyTarget || config?.dailyTarget || 30)));\n        incoming.discoveryLimit = Math.max(1, Math.min(800, Number(incoming.discoveryLimit || config?.discoveryLimit || 150)));\n        const presetDelay = { conservative: 15, standard: 9, efficient: 6 }[incoming.pacingPreset];\n        incoming.betweenJobsSeconds = Math.max(6, Math.min(120, Number(presetDelay || incoming.betweenJobsSeconds || config?.betweenJobsSeconds || 9)));\n        incoming.attachmentDelaySeconds = Math.max(1.5, Math.min(15, Number(incoming.attachmentDelaySeconds || config?.attachmentDelaySeconds || 3)));\n        incoming.maxPerCompanyPerDay = Math.max(1, Math.min(12, Number(incoming.maxPerCompanyPerDay || config?.maxPerCompanyPerDay || 3)));\n        incoming.queueWarmup = Math.max(1, Math.min(10, Number(incoming.queueWarmup || config?.queueWarmup || 4)));\n        incoming.maxConsecutiveFailures = Math.max(1, Math.min(10, Number(incoming.maxConsecutiveFailures || config?.maxConsecutiveFailures || 3)));\n        incoming.jitterSeconds = Math.max(0, Math.min(15, Number(incoming.jitterSeconds ?? config?.jitterSeconds ?? 3)));\n        incoming.companyVerificationEnabled = incoming.companyVerificationEnabled !== false;\n        incoming.companyVerificationProvider = String(incoming.companyVerificationProvider || config?.companyVerificationProvider || 'bridge');\n        incoming.companyVerificationCacheDays = Math.max(1, Math.min(90, Number(incoming.companyVerificationCacheDays || config?.companyVerificationCacheDays || 14)));\n        incoming.blockUnknownCompanies = Boolean(incoming.blockUnknownCompanies);\n        incoming.updateCheckEnabled = incoming.updateCheckEnabled !== false;\n        incoming.dailyReportEnabled = incoming.dailyReportEnabled !== false;\n        incoming.dailyReportTime = /^\\d{2}:\\d{2}$/.test(String(incoming.dailyReportTime || '')) ? String(incoming.dailyReportTime) : (config?.dailyReportTime || '20:30');\n        incoming.dailyReportNotification = incoming.dailyReportNotification !== false;\n        incoming.rateLimits = { ...DEFAULTS.config.rateLimits, ...(config?.rateLimits || {}), ...(incoming.rateLimits || {}), deliveryMs: Math.max(6000, Number(incoming.betweenJobsSeconds || 9) * 1000), attachmentMs: Math.max(1500, Number(incoming.attachmentDelaySeconds || 3) * 1000) };\n        incoming.model.baseUrl = String(incoming.model.baseUrl || 'https://api.deepseek.com').trim();\n        incoming.model.model = String(incoming.model.model || 'deepseek-v4-pro').trim();\n        await storage.set({ config: { ...(config || {}), ...incoming } });\n        await writeEvent('info', '设置已保存');\n        syncBridgeSnapshot(true).catch(() => {});\n        reply({ ok: true });\n        break;\n      }\n      case 'SET_RESUME':\n        await storage.set({ resumeText: String(message.text || '') });\n        await writeEvent('info', '简历文本已保存', { length: String(message.text || '').length });\n        reply({ ok: true });\n        break;\n      case 'SET_RESUME_SOURCE': {\n        const file = message.file || null;\n        if (!file?.name || !file?.dataUrl) throw new Error('简历原文件数据不完整');\n        if (String(file.dataUrl).length > 26 * 1024 * 1024) throw new Error('简历原文件过大');\n        const source = {\n          name: String(file.name),\n          type: String(file.type || ''),\n          size: Number(file.size || 0),\n          lastModified: Number(file.lastModified || 0),\n          dataUrl: String(file.dataUrl),\n          savedAt: Date.now()\n        };\n        await storage.set({ resumeSourceFile: source });\n        await writeEvent('info', '简历原文件已保留', { name: source.name, size: source.size });\n        reply({ ok: true, file: { name: source.name, type: source.type, size: source.size, stored: true } });\n        break;\n      }\n      case 'PARSE_RESUME_PDF': {\n        const { resumeSourceFile } = await storage.get('resumeSourceFile');\n        if (!resumeSourceFile?.dataUrl) throw new Error('请先选择 PDF 简历');\n        if (!String(resumeSourceFile.name || '').toLowerCase().endsWith('.pdf') && resumeSourceFile.type !== 'application/pdf') {\n          throw new Error('当前保留的文件不是 PDF');\n        }\n        try {\n          const result = await bridge('/parse-resume', {\n            name: resumeSourceFile.name,\n            type: resumeSourceFile.type,\n            dataUrl: resumeSourceFile.dataUrl\n          });\n          if (result?.text) await writeEvent('info', 'PDF 本机深度识别完成', { method: result.method, length: result.text.length });\n          reply({ ok: Boolean(result?.ok), result, error: result?.error || '' });\n        } catch (error) {\n          reply({ ok: false, error: `桌面桥接不可用：${error.message}` });\n        }\n        break;\n      }\n      case 'SET_IMAGE':\n        await storage.set({ resumeImage: message.dataUrl || null });\n        await writeEvent('info', message.dataUrl ? '简历图片已保存' : '简历图片已移除');\n        reply({ ok: true });\n        break;\n      case 'BUILD_LOCAL_PROFILE':\n      case 'ENSURE_PROFILE_DRAFT': {\n        const { resumeText, profile: currentProfile, profileDraft: currentDraft } = await storage.get(['resumeText', 'profile', 'profileDraft']);\n        if (profileDraftHasCore(currentDraft) && profileHasCore(currentProfile)) {\n          reply({ ok: true, profile: currentProfile, profileDraft: currentDraft, skipped: true });\n          break;\n        }\n        if (profileHasCore(currentProfile)) {\n          const profileDraft = profileDraftHasAny(currentDraft)\n            ? normalizeProfileDraft(currentDraft, profileToDraft(currentProfile, 'profile-repair'))\n            : profileToDraft(currentProfile, 'profile-repair');\n          await storage.set({ profileDraft });\n          reply({ ok: true, profile: currentProfile, profileDraft, repaired: true });\n          break;\n        }\n        const profile = buildLocalProfile(resumeText || '');\n        profile.generation.mode = 'local-recovery';\n        profile.generation.label = '本地初稿';\n        profile.generation.warning = '已从保存的简历自动恢复可编辑初稿。';\n        const profileDraft = profileToDraft(profile, 'local-recovery');\n        const { directionPlan: currentDirectionPlan } = await storage.get('directionPlan');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        await writeEvent('info', '已从已保存简历恢复可编辑画像', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation: profile.generation });\n        break;\n      }\n      case 'BUILD_PROFILE': {\n        const { resumeText, directionPlan: currentDirectionPlan } = await storage.get(['resumeText', 'directionPlan']);\n        const profile = await buildProfile(resumeText || '');\n        const profileDraft = profileToDraft(profile, profile.generation?.mode || 'generated');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        const generation = profile.generation || {};\n        const local = generation.mode === 'local-fallback';\n        const eventTitle = !local\n          ? (generation.mode === 'ai-compact-retry' ? 'AI 精简重试成功，职业画像已生成' : '职业画像已生成')\n          : generation.aiStatus === 'service-error'\n            ? 'AI 请求失败，已生成本地可编辑画像'\n            : generation.aiStatus === 'config-missing'\n              ? 'AI 尚未配置，已生成本地可编辑画像'\n              : 'AI 输出未通过校验，已生成本地可编辑画像';\n        await writeEvent(local ? 'warning' : 'info', eventTitle,\n          { directions: profile.primaryDirections, generation });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation, warning: generation.warning || '' });\n        break;\n      }\n      case 'SAVE_PROFILE_DRAFT': {\n        const { profileDraft: currentDraft } = await storage.get('profileDraft');\n        const profileDraft = normalizeProfileDraft(message.profileDraft, currentDraft);\n        await storage.set({ profileDraft });\n        reply({ ok: true, profileDraft });\n        break;\n      }\n      case 'SAVE_PROFILE': {\n        const { profile: currentProfile, config = {}, profileDraft: currentDraft, directionPlan: currentDirectionPlan } = await storage.get(['profile', 'config', 'profileDraft', 'directionPlan']);\n        const profile = normalizeProfile(message.profile, currentProfile);\n        const profileDraft = profileToDraft(profile, 'manual-save');\n        const keepDirectionConfirmation = Boolean(\n          currentDirectionPlan?.confirmed\n          && profileDirectionSignature(currentProfile || {}) === profileDirectionSignature(profile)\n        );\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: keepDirectionConfirmation,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        const hard = profile.hardConstraints || {};\n        const nextConfig = {\n          ...config,\n          targetLocations: hard.locations?.length ? hard.locations : (config.targetLocations || []),\n          employmentTypes: hard.employmentTypes?.length ? hard.employmentTypes : (config.employmentTypes || ['不限']),\n          experiences: hard.experience ? [hard.experience] : (config.experiences || []),\n          degrees: hard.degree ? [hard.degree] : (config.degrees || []),\n          salary: hard.salary || config.salary || '不限'\n        };\n        await storage.set({ profile, profileDraft, directionPlan, config: nextConfig });\n        await writeEvent('info', '职业画像已手动保存', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, config: nextConfig });\n        break;\n      }\n      case 'REBUILD_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'profileDraft', 'directionPlan']);\n        let profile = stored.profile;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        const directionPlan = buildDirectionPlan(profile, stored.directionPlan, {\n          confirmed: false,\n          preserveSelections: false,\n          preserveEdits: false,\n          preserveCustom: true\n        });\n        await storage.set({ directionPlan });\n        await writeEvent('info', '已重新生成岗位方向推荐', {\n          directions: directionPlan.items.map(item => item.name),\n          enabled: directionPlan.items.filter(item => item.enabled).length\n        });\n        reply({ ok: true, directionPlan });\n        break;\n      }\n      case 'SAVE_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'config', 'workflow', 'directionPlan']);\n        if (!profileHasCore(stored.profile)) throw new Error('请先生成职业画像');\n        const directionPlan = normalizeDirectionPlan(message.directionPlan, stored.profile, {\n          confirmed: true,\n          updatedAt: Date.now(),\n          appliedAt: Date.now()\n        });\n        const selected = selectedDirectionItems(directionPlan);\n        if (!selected.length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(stored.profile, stored.config || DEFAULTS.config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可用搜索词，请先补充关键词');\n        await storage.set({ directionPlan });\n        await writeEvent('info', '投递岗位方向已保存', {\n          directions: selected.map(item => item.name),\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        reply({\n          ok: true,\n          directionPlan,\n          selectedCount: selected.length,\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        break;\n      }\n      case 'TEST_AI': {\n        const text = await callModel([\n          { role: 'system', content: '只回复“连接正常”。' },\n          { role: 'user', content: '测试连接' }\n        ], false);\n        reply({ ok: true, text });\n        break;\n      }\n      case 'PROBE_BOSS': {\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        const result = await ensureBossReceiver(tab);\n        reply({ ok: true, result: { ...result, tabId: tab.id, title: tab.title || '', url: tab.url || '' } });\n        break;\n      }\n      case 'START': {\n        const safety = await storage.get('safetyState');\n        if (safety.safetyState?.circuitOpen) throw new Error(`安全熔断未重置：${safety.safetyState.circuitReason || '请先检查页面状态'}`);\n        const stored = await storage.get(['profile', 'profileDraft', 'resumeText', 'config', 'directionPlan']);\n        let profile = stored.profile;\n        const config = stored.config;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile) && String(stored.resumeText || '').trim().length >= 30) {\n          profile = buildLocalProfile(stored.resumeText || '');\n          profile.generation.mode = 'local-recovery';\n          profile.generation.label = '本地初稿';\n          const profileDraft = profileToDraft(profile, 'start-recovery');\n          await storage.set({ profile, profileDraft });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        let directionPlan = stored.directionPlan;\n        if (!directionPlan?.items?.length) {\n          directionPlan = buildDirectionPlan(profile, null, { confirmed: false });\n          await storage.set({ directionPlan });\n        }\n        directionPlan = normalizeDirectionPlan(directionPlan, profile);\n        if (!directionPlan.confirmed) throw new Error('请先在“简历 → 职业画像”中选择要投递的岗位方向并保存');\n        if (!selectedDirectionItems(directionPlan).length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(profile, config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可执行的搜索词，请补充方向关键词');\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        await ensureBossReceiver(tab);\n        const workflow = {\n          ...DEFAULTS.workflow,\n          running: true,\n          paused: false,\n          phase: 'search',\n          statusText: '正在启动岗位采集',\n          tasks,\n          activeRunId: null\n        };\n        await storage.set({ workflow });\n        try {\n          await sendToBossTab(tab, { type: 'RUN' });\n          await writeEvent('info', '任务已启动', { taskCount: workflow.tasks.length, tabId: tab.id });\n          reply({ ok: true });\n        } catch (error) {\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            phase: 'idle',\n            statusText: 'BOSS 页面连接失败，任务未启动'\n          });\n          throw error;\n        }\n        break;\n      }\n      case 'PAUSE':\n        await patchWorkflow({ paused: true, statusText: '用户已暂停' });\n        await writeEvent('info', '任务已暂停');\n        reply({ ok: true });\n        break;\n      case 'STOP':\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '用户已停止', pendingApplyId: null, activeRunId: null });\n        await writeEvent('info', '任务已停止');\n        reply({ ok: true });\n        break;\n      case 'AI_JOB':\n        reply({ ok: true, result: await analyzeJob(message.job) });\n        break;\n      case 'CHAT_BINDING_PREPARE': {\n        if (!message.pendingId || !message.expected) throw new Error('岗位与 HR 会话绑定信息不完整');\n        const transition = {\n          pendingId: String(message.pendingId),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          preparedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'CHAT_BINDING_CHECK': {\n        const expected = message.expected || {};\n        const recruiterName = String(message.context?.recruiterName || expected.recruiterName || '').trim();\n        const company = String(message.context?.companyName || expected.company || message.job?.company || '').trim();\n        const key = deriveConversationReservationKey(message.context || {}, expected, message.pendingId);\n        if (!key) {\n          reply({ ok: false, allowed: false, error: '目标 HR 已核验，但无法建立安全投递锁' });\n          break;\n        }\n        const { chatDeliveryLedger = {} } = await storage.get('chatDeliveryLedger');\n        const existing = chatDeliveryLedger[key];\n        const identityExisting = Object.values(chatDeliveryLedger).find(entry =>\n          entry?.pendingId !== message.pendingId\n          && ['reserved', 'sent'].includes(String(entry?.status || ''))\n          && sameRecruiterReservation(entry, recruiterName, company)\n        );\n        const conflict = existing && existing.pendingId !== message.pendingId ? existing : identityExisting;\n        if (conflict) {\n          reply({\n            ok: true,\n            allowed: false,\n            error: `当前 HR 会话已绑定其他岗位任务，禁止继续发送`,\n            existing: conflict\n          });\n          break;\n        }\n        const reservation = {\n          ...(existing || {}),\n          conversationKey: key,\n          pendingId: String(message.pendingId || ''),\n          runId: String(message.runId || ''),\n          jobUrl: String(message.job?.url || ''),\n          jobTitle: String(message.job?.title || ''),\n          company: String(message.job?.company || ''),\n          recruiterName,\n          company,\n          chatUrl: String(message.context?.url || ''),\n          status: existing?.status === 'sent' ? 'sent' : 'reserved',\n          reservedAt: existing?.reservedAt || Date.now(),\n          updatedAt: Date.now()\n        };\n        await storage.set({ chatDeliveryLedger: { ...chatDeliveryLedger, [key]: reservation } });\n        reply({ ok: true, allowed: true, conversationKey: key, reservation });\n        break;\n      }\n      case 'CHAT_BINDING_CONFIRMED': {\n        const transition = {\n          pendingId: String(message.pendingId || ''),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          context: safeClone(message.context || {}),\n          confirmedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'MATERIAL': {\n        const { resumeImage, config } = await storage.get(['resumeImage', 'config']);\n        reply({ ok: true, resumeImage, config });\n        break;\n      }\n      case 'CONTENT_STATE':\n        reply({ ok: true, state: await storage.all() });\n        break;\n      case 'WORKFLOW':\n        reply({ ok: true, workflow: await patchWorkflow(message.patch || {}) });\n        break;\n      case 'STATS':\n        reply({ ok: true, stats: await changeStats(message.delta || {}) });\n        break;\n      case 'TASK_PROGRESS': {\n        const run = await upsertTaskRun(message.run || {});\n        if (message.setActive) await patchWorkflow({ activeRunId: run.id });\n        reply({ ok: true, run });\n        break;\n      }\n      case 'SEARCH_TASK_PROGRESS':\n        reply({ ok: true, task: await updateSearchTaskProgress(message) });\n        break;\n      case 'RETRY_FAILED_TASK':\n        reply({ ok: true, ...(await retryFailedTask(message.runId)) });\n        break;\n      case 'RETRY_ALL_FAILED_TASKS':\n        reply({ ok: true, ...(await retryAllFailedTasks()) });\n        break;\n      case 'IGNORE_FAILED_TASK':\n        reply({ ok: true, run: await ignoreFailedTask(message.runId) });\n        break;\n      case 'OPEN_TASK_JOB': {\n        const url = String(message.url || '').trim();\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('岗位地址无效');\n        const tab = await chrome.tabs.create({ url, active: true });\n        reply({ ok: true, tabId: tab.id });\n        break;\n      }\n      case 'EVENT':\n        reply({ ok: true, event: await writeEvent(message.level || 'info', message.message || '', message.data || {}) });\n        break;\n      case 'PENDING':\n        reply({ ok: true, item: await addPending(message.item || {}) });\n        break;\n      case 'APPROVE':\n        reply({ ok: true, item: await approvePending(message.id, message.greeting || '') });\n        break;\n      case 'REJECT':\n        await rejectPending(message.id);\n        reply({ ok: true });\n        break;\n      case 'APPROVE_ALL':\n        reply({ ok: true, ...(await approveAllPending()) });\n        break;\n      case 'REJECT_ALL':\n        reply({ ok: true, ...(await rejectAllPending()) });\n        break;\n      case 'AUTO_APPROVE': {\n        const { pending = [] } = await storage.get('pending');\n        const next = rerankPending(pending.map(entry => entry.id === message.id\n          ? {\n              ...entry,\n              deliveryGreeting: String(message.greeting || entry.deliveryGreeting || entry.analysis?.greeting || '').trim(),\n              status: 'approved_queue',\n              approvedAt: Date.now()\n            }\n          : entry));\n        await storage.set({ pending: next });\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      }\n      case 'AUTO_DISPATCH_NEXT':\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      case 'SKIP_PENDING':\n        reply({ ok: true, ...(await skipPendingTask(message.id, message.reason, message.stageLabel)) });\n        break;\n      case 'APPLY_COMPLETE': {\n        const { pending = [], config = {}, stats = {}, chatDeliveryLedger = {}, chatTransition = null, deliveryHistory = [] } = await storage.get(['pending', 'config', 'stats', 'chatDeliveryLedger', 'chatTransition', 'deliveryHistory']);\n        const completedAt = Date.now();\n        let completedItem = null;\n        let next = pending.map(entry => {\n          if (entry.id !== message.id) return entry;\n          completedItem = { ...entry, status: message.ok ? 'sent' : 'failed', completedAt, error: message.error || '' };\n          return completedItem;\n        });\n        const updatedStats = {\n          ...stats,\n          pending: next.filter(entry => entry.status === 'pending').length,\n          sent: Number(stats?.sent || 0) + (message.ok ? 1 : 0),\n          failed: Number(stats?.failed || 0) + (message.ok ? 0 : 1)\n        };\n        const conversationKey = String(message.conversation?.key || '');\n        let nextLedger = chatDeliveryLedger;\n        if (conversationKey && chatDeliveryLedger[conversationKey]?.pendingId === message.id) {\n          nextLedger = {\n            ...chatDeliveryLedger,\n            [conversationKey]: {\n              ...chatDeliveryLedger[conversationKey],\n              status: message.ok ? 'sent' : 'failed',\n              sentAt: message.ok ? completedAt : (chatDeliveryLedger[conversationKey].sentAt || null),\n              failedAt: message.ok ? null : completedAt,\n              error: message.error || '',\n              updatedAt: completedAt\n            }\n          };\n        }\n        const nextTransition = chatTransition?.pendingId === message.id ? null : chatTransition;\n        const nextHistory = message.ok && completedItem?.job\n          ? [createHistoryEntry(completedItem.job, 'sent', completedAt, { pendingId: message.id, runId: completedItem.runId || '' }), ...deliveryHistory].slice(0, 2000)\n          : deliveryHistory;\n        await storage.set({ pending: next, stats: updatedStats, chatDeliveryLedger: nextLedger, chatTransition: nextTransition, deliveryHistory: nextHistory });\n        const safetyAfter = await applySafetyOutcome({ ok: Boolean(message.ok), reason: message.error || (message.ok ? '' : '投递失败') });\n        const completedRun = await updateTaskRunByPending(message.id, message.ok\n          ? {\n              status: 'success', stage: 'success', progress: 100, stageLabel: '投递成功', error: '',\n              retryable: false, completedAt, result: message.result || 'sent'\n            }\n          : {\n              status: 'failed', stage: message.stage || 'failed', progress: 100,\n              stageLabel: message.stageLabel || '投递失败', error: message.error || '投递失败',\n              retryable: message.retryable !== false, retryRequestedAt: 0, completedAt\n            });\n        await writeEvent(message.ok ? 'success' : 'error', message.ok ? '求职投递成功' : '求职投递失败', {\n          id: message.id,\n          runId: completedRun?.id || completedItem?.runId || '',\n          job: completedItem?.job,\n          stage: message.stage || '',\n          error: message.error || ''\n        });\n        if (safetyAfter.circuitOpen) {\n          reply({ ok: true, circuitOpen: true, reason: safetyAfter.circuitReason });\n          break;\n        }\n\n        const validationPending = message.ok\n          && config.executionMode === 'auto'\n          && config.requireSingleJobValidation !== false\n          && !Number(config.singleJobValidationCompletedAt || 0);\n        if (validationPending) {\n          const nextConfig = { ...config, singleJobValidationCompletedAt: completedAt };\n          await storage.set({ config: nextConfig });\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: null,\n            phase: 'idle',\n            statusText: '单条验收已通过并自动暂停；确认聊天文字和附件后可继续批量'\n          });\n          await writeEvent('success', '首次单条投递验收通过', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            completedAt\n          });\n          reply({ ok: true, validationCompleted: true, pausedForValidation: true });\n          break;\n        }\n\n        if (updatedStats.sent >= Number(config.dailyTarget || 30)) {\n          await patchWorkflow({ running: false, paused: true, pendingApplyId: null, activeRunId: null, phase: 'idle', statusText: `已完成今日 ${updatedStats.sent} 次成功投递` });\n          reply({ ok: true, targetReached: true });\n          break;\n        }\n\n        // 任何文字未确认场景都暂停当前队列，但只有输入框中确实存在完整招呼语时，\n        // 才提示“草稿已保留”。输入框为空时必须明确提示写入失败，不能误导用户。\n        if (!message.ok && message.pauseQueue) {\n          const draftPresent = message.preserveDraft === true || message.draftPresent === true;\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: completedRun?.id || completedItem?.runId || null,\n            phase: 'apply',\n            statusText: draftPresent\n              ? '发送未确认，已暂停队列；当前招呼语仍在输入框'\n              : '文字没有写入或没有发送，已暂停队列并停留在当前 HR 页面'\n          });\n          await writeEvent('warning', draftPresent\n            ? '自动投递已暂停，当前招呼语仍保留在输入框'\n            : '自动投递已暂停，聊天输入框中没有完整招呼语', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            draftPresent,\n            editorDiagnostics: message.editorDiagnostics || null,\n            error: message.error || ''\n          });\n          reply({ ok: true, pausedForDraft: draftPresent, pausedForSendFailure: true });\n          break;\n        }\n\n        next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n        if (queued) {\n          next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n          await storage.set({ pending: next });\n          const remaining = next.filter(entry => entry.status === 'approved_queue').length;\n          const queuedRun = await updateTaskRunByPending(queued.id, {\n            status: 'running', stage: 'queued', progress: 64, stageLabel: '准备投递', error: '', completedAt: null\n          });\n          await patchWorkflow({\n            pendingApplyId: queued.id,\n            activeRunId: queuedRun?.id || queued.runId || null,\n            running: true,\n            paused: false,\n            phase: 'apply',\n            statusText: `继续批量投递：${queued.job?.title || '岗位'}（剩余 ${remaining}）`\n          });\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ statusText: `当前岗位处理完成，${Math.round(pacingMs / 1000)} 秒后继续批量投递` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        } else {\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ pendingApplyId: null, activeRunId: null, phase: 'search', statusText: message.ok ? `文字投递已确认，${Math.round(pacingMs / 1000)} 秒后继续筛选` : `当前岗位失败，${Math.round(pacingMs / 1000)} 秒后继续筛选` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        }\n        reply({ ok: true });\n        break;\n      }\n      case 'BRIDGE_STATUS':\n        try { reply({ ok: true, result: await bridge('/status') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_DIAGNOSE':\n        reply({ ok: true, result: await diagnoseBridge() });\n        break;\n      case 'BRIDGE_REPORT_NOW':\n        try {\n          await syncBridgeSnapshot(true);\n          reply({ ok: true, result: await bridge('/report/generate', { force: true }) });\n        } catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_REPORT':\n        try { reply({ ok: true, result: await bridge('/report') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_COMMAND':\n        try { reply({ ok: true, result: await bridge('/command', { type: message.command }) }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      default:\n        reply({ ok: false, error: 'unknown message' });\n    }\n  })().catch(async error => {\n    await writeEvent('error', '后台处理失败', { type: message?.type, error: error.message });\n    reply({ ok: false, error: error.message });\n  });\n  return true;\n});\n"}, "1717e3d1c43b3d2df618a2320c9d66a2182ce7ee": {"t": 1785758650.9880707, "n": 157588, "h": "b62afbe9c8346314", "c": "import { DEFAULTS, safeClone, today, uniq } from './common.js';\nimport { normalizeConversationIdentity, deriveConversationReservationKey, sameRecruiterReservation } from './lib/conversation-identity.js';\nimport { TERMINAL_RUN_STATUSES, taskStageMeta } from './lib/task-state.js';\nimport { rerankPending } from './lib/job-priority.js';\nimport { computeRateLimitDecision, evaluateStrategy, normalizeStrategy, recordRateAction, recordSafetyOutcome, resetSafetyCircuit, strictHardBlocks } from './lib/safety-control.js';\nimport { companyCacheKey, companyVerificationExpired, heuristicCompanyVerification, mergeCompanyVerification } from './lib/company-verifier.js';\nimport { createHistoryEntry, findDuplicate } from './lib/deduplication.js';\nimport { normalizeRelease } from './lib/update-checker.js';\n\nconst BRIDGE_ENDPOINTS = ['http://127.0.0.1:17899', 'http://localhost:17899'];\nconst NATIVE_BRIDGE_HOST = 'com.jobclaw.bridge';\nlet lastBridgeSnapshotAt = 0;\nlet bridgeUnavailableUntil = 0;\nlet bridgeLastError = '';\nconst EXPECTED_CONTENT_VERSION = '1.7.0';\nconst CONTENT_SCRIPT_FILE = 'content-v37.js';\nconst storage = {\n  get: keys => chrome.storage.local.get(keys),\n  all: () => chrome.storage.local.get(null),\n  set: patch => chrome.storage.local.set(patch)\n};\n\nconst debuggerLocks = new Map();\n\nconst OFFSCREEN_DOCUMENT_PATH = 'offscreen.html';\nlet offscreenCreation = null;\n\nasync function ensureClipboardOffscreen() {\n  if (!chrome.offscreen?.createDocument) return false;\n  const url = chrome.runtime.getURL(OFFSCREEN_DOCUMENT_PATH);\n  if (chrome.runtime.getContexts) {\n    const contexts = await chrome.runtime.getContexts({\n      contextTypes: ['OFFSCREEN_DOCUMENT'],\n      documentUrls: [url]\n    }).catch(() => []);\n    if (contexts?.length) return true;\n  }\n  if (!offscreenCreation) {\n    offscreenCreation = chrome.offscreen.createDocument({\n      url: OFFSCREEN_DOCUMENT_PATH,\n      reasons: ['CLIPBOARD'],\n      justification: '将求职招呼语以真实粘贴方式写入 BOSS 聊天编辑器'\n    }).then(() => true).catch(error => {\n      const message = String(error?.message || error || '');\n      if (/single offscreen|already exists|existing offscreen/i.test(message)) return true;\n      throw error;\n    }).finally(() => { offscreenCreation = null; });\n  }\n  return offscreenCreation;\n}\n\nasync function writeClipboardText(text) {\n  const value = String(text || '');\n  if (!value) return false;\n  try {\n    const ready = await ensureClipboardOffscreen();\n    if (!ready) return false;\n    const response = await chrome.runtime.sendMessage({ type: 'JOBCLAW_CLIPBOARD_WRITE', text: value });\n    return response?.ok === true;\n  } catch {\n    return false;\n  }\n}\n\nfunction validPoint(point) {\n  const x = Number(point?.x);\n  const y = Number(point?.y);\n  if (!Number.isFinite(x) || !Number.isFinite(y) || x < 0 || y < 0) {\n    throw new Error('聊天输入坐标无效');\n  }\n  return { x, y };\n}\n\nasync function debuggerBringToFront(target) {\n  await chrome.debugger.sendCommand(target, 'Page.bringToFront').catch(() => {});\n  await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression: 'window.focus(); true',\n    returnByValue: true\n  }).catch(() => {});\n}\n\nasync function debuggerNodeAtPoint(target, point) {\n  const { x, y } = validPoint(point);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getNodeForLocation', {\n    x, y,\n    includeUserAgentShadowDOM: true,\n    ignorePointerEventsNone: true\n  }).catch(() => null);\n  return {\n    nodeId: Number(result?.nodeId || 0),\n    backendNodeId: Number(result?.backendNodeId || 0),\n    frameId: String(result?.frameId || '')\n  };\n}\n\nasync function debuggerResolveNodeObject(target, node = {}) {\n  const args = {};\n  if (Number(node.nodeId || 0)) args.nodeId = Number(node.nodeId);\n  else if (Number(node.backendNodeId || 0)) args.backendNodeId = Number(node.backendNodeId);\n  else return '';\n  const resolved = await chrome.debugger.sendCommand(target, 'DOM.resolveNode', args).catch(() => null);\n  return String(resolved?.object?.objectId || '');\n}\n\nasync function debuggerReadObjectText(target, objectId = '') {\n  if (!objectId) return '';\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      if ('value' in this && !this.isContentEditable) return String(this.value || '');\n      return String(this.innerText || this.textContent || '');\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerReadNodeText(target, node = {}) {\n  const objectId = await debuggerResolveNodeObject(target, node);\n  return debuggerReadObjectText(target, objectId);\n}\n\nasync function debuggerFindEditableObject(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  const point = validPoint(message.point);\n  const expression = `(() => {\n    const exactSelector = ${JSON.stringify(selector)};\n    const point = ${JSON.stringify(point)};\n    const editableSelector = 'textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]';\n    const isEditable = node => {\n      if (!node || node.nodeType !== 1) return false;\n      const tag = String(node.tagName || '').toLowerCase();\n      if (tag === 'textarea') return true;\n      if (tag === 'input') {\n        const type = String(node.getAttribute('type') || 'text').toLowerCase();\n        return ['text', 'search', ''].includes(type);\n      }\n      const mode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n      return node.isContentEditable\n        || Boolean(mode && !['false', 'inherit', 'off'].includes(mode))\n        || node.getAttribute('role') === 'textbox'\n        || node.getAttribute('data-slate-editor') === 'true'\n        || node.getAttribute('data-lexical-editor') === 'true';\n    };\n    const deepQuery = (root, query) => {\n      if (!root) return null;\n      try {\n        const direct = root.querySelector?.(query);\n        if (direct) return direct;\n      } catch {}\n      let elements = [];\n      try { elements = [...(root.querySelectorAll?.('*') || [])]; } catch {}\n      for (const element of elements) {\n        if (element.shadowRoot) {\n          const found = deepQuery(element.shadowRoot, query);\n          if (found) return found;\n        }\n      }\n      return null;\n    };\n    const nearestEditable = node => {\n      let current = node;\n      for (let depth = 0; current && depth < 16; depth += 1) {\n        if (isEditable(current)) return current;\n        let nested = null;\n        try { nested = current.querySelector?.(editableSelector); } catch {}\n        if (nested && isEditable(nested)) return nested;\n        const root = current.getRootNode?.();\n        current = current.parentElement || (root && root.host) || null;\n      }\n      return null;\n    };\n    let node = exactSelector ? deepQuery(document, exactSelector) : null;\n    node = nearestEditable(node) || node;\n    if (!isEditable(node)) {\n      let pointNode = null;\n      try { pointNode = document.elementFromPoint(point.x, point.y); } catch {}\n      node = nearestEditable(pointNode);\n    }\n    if (!isEditable(node)) return null;\n    try { node.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n    try { node.focus({ preventScroll: true }); } catch { try { node.focus(); } catch {} }\n    if (node.isContentEditable) {\n      try {\n        const selection = window.getSelection();\n        const range = document.createRange();\n        range.selectNodeContents(node);\n        range.collapse(false);\n        selection.removeAllRanges();\n        selection.addRange(range);\n      } catch {}\n    }\n    return node;\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: false,\n    awaitPromise: false,\n    includeCommandLineAPI: false\n  }).catch(() => null);\n  const objectId = String(result?.result?.objectId || '');\n  if (!objectId) return { objectId: '', nodeId: 0, point, selector };\n  const requested = await chrome.debugger.sendCommand(target, 'DOM.requestNode', { objectId }).catch(() => null);\n  const nodeId = Number(requested?.nodeId || 0);\n  return { objectId, nodeId, point, selector };\n}\n\nasync function debuggerFocusObject(target, objectId = '') {\n  if (!objectId) return null;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      try { this.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n      try { this.focus({ preventScroll: true }); } catch { try { this.focus(); } catch {} }\n      if (this.isContentEditable) {\n        try {\n          const selection = window.getSelection();\n          const range = document.createRange();\n          range.selectNodeContents(this);\n          range.collapse(false);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        } catch {}\n      }\n      const rect = this.getBoundingClientRect();\n      return { left: rect.left, top: rect.top, width: rect.width, height: rect.height, tag: this.tagName || '', id: this.id || '' };\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return result?.result?.value || null;\n}\n\nasync function debuggerPasteClipboard(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4,\n    commands: ['Paste']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4\n  });\n}\n\nasync function withTabDebugger(tabId, operation) {\n  if (!Number.isInteger(Number(tabId))) throw new Error('无法确定当前 BOSS 标签页');\n  const id = Number(tabId);\n  const previous = debuggerLocks.get(id) || Promise.resolve();\n  let release;\n  const current = new Promise(resolve => { release = resolve; });\n  const queueEntry = previous.then(() => current);\n  debuggerLocks.set(id, queueEntry);\n  await previous;\n  const target = { tabId: id };\n  let attached = false;\n  try {\n    await chrome.debugger.attach(target, '1.3');\n    attached = true;\n    await debuggerBringToFront(target);\n    return await operation(target);\n  } catch (error) {\n    const message = String(error?.message || error || '');\n    if (/Another debugger is already attached|Cannot attach to this target|DevTools/i.test(message)) {\n      throw new Error('Chrome 调试通道正被 DevTools 或其他工具占用，请关闭该 BOSS 页面的开发者工具后重试');\n    }\n    throw error;\n  } finally {\n    if (attached) await chrome.debugger.detach(target).catch(() => {});\n    release?.();\n    if (debuggerLocks.get(id) === queueEntry) debuggerLocks.delete(id);\n  }\n}\n\nasync function debuggerMouseClick(target, point) {\n  const { x, y } = validPoint(point);\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseMoved', x, y, button: 'none', buttons: 0\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mousePressed', x, y, button: 'left', buttons: 1, clickCount: 1\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseReleased', x, y, button: 'left', buttons: 0, clickCount: 1\n  });\n}\n\nasync function debuggerDocumentNode(target) {\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getDocument', {\n    depth: -1,\n    pierce: true\n  });\n  const nodeId = Number(result?.root?.nodeId || 0);\n  if (!nodeId) throw new Error('无法读取当前 BOSS 页面 DOM');\n  return nodeId;\n}\n\nasync function debuggerNodeBySelector(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return 0;\n  const rootNodeId = await debuggerDocumentNode(target);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.querySelector', {\n    nodeId: rootNodeId,\n    selector: normalized\n  });\n  return Number(result?.nodeId || 0);\n}\n\nasync function debuggerFocusTarget(target, message = {}) {\n  await debuggerBringToFront(target);\n\n  // 必须优先锁定 content script 临时标记的真实编辑节点。旧版先取坐标节点，\n  // BOSS 页面上经常命中编辑器外壳/透明层，导致看似有光标但文字没有进入编辑器。\n  const exact = await debuggerFindEditableObject(target, message).catch(() => ({ objectId: '', nodeId: 0 }));\n  if (exact.objectId) {\n    const rect = await debuggerFocusObject(target, exact.objectId);\n    if (rect && Number(rect.width) > 0 && Number(rect.height) > 0) {\n      const clickPoint = {\n        x: Math.round(Number(rect.left) + Math.max(8, Math.min(Number(rect.width) - 8, Number(rect.width) * 0.5))),\n        y: Math.round(Number(rect.top) + Math.max(8, Math.min(Number(rect.height) - 8, Number(rect.height) * 0.5)))\n      };\n      await debuggerMouseClick(target, clickPoint).catch(() => {});\n      await debuggerFocusObject(target, exact.objectId);\n      return { method: 'exact-selector-object-focus+click', ...exact, point: clickPoint, rect };\n    }\n    return { method: 'exact-selector-object-focus', ...exact, rect };\n  }\n\n  const pointNode = await debuggerNodeAtPoint(target, message.point).catch(() => ({ nodeId: 0, backendNodeId: 0 }));\n  if (pointNode.nodeId || pointNode.backendNodeId) {\n    const args = pointNode.nodeId ? { nodeId: pointNode.nodeId } : { backendNodeId: pointNode.backendNodeId };\n    await chrome.debugger.sendCommand(target, 'DOM.focus', args).catch(() => {});\n    await debuggerMouseClick(target, message.point).catch(() => {});\n    const objectId = await debuggerResolveNodeObject(target, pointNode).catch(() => '');\n    return { method: 'point-node-focus+click', ...pointNode, objectId };\n  }\n\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0, objectId: '' };\n}\n\nasync function debuggerClickTarget(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  if (selector) {\n    const nodeId = await debuggerNodeBySelector(target, selector);\n    if (nodeId) {\n      await chrome.debugger.sendCommand(target, 'DOM.scrollIntoViewIfNeeded', { nodeId }).catch(() => {});\n      const model = await chrome.debugger.sendCommand(target, 'DOM.getBoxModel', { nodeId });\n      const quad = model?.model?.content || model?.model?.border || [];\n      if (Array.isArray(quad) && quad.length >= 8) {\n        const xs = [quad[0], quad[2], quad[4], quad[6]].map(Number);\n        const ys = [quad[1], quad[3], quad[5], quad[7]].map(Number);\n        await debuggerMouseClick(target, {\n          x: xs.reduce((sum, value) => sum + value, 0) / xs.length,\n          y: ys.reduce((sum, value) => sum + value, 0) / ys.length\n        });\n        return { method: 'dom-box-click', nodeId };\n      }\n    }\n  }\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0 };\n}\n\nasync function debuggerReadTargetText(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return '';\n  const expression = `(() => {\n    const element = document.querySelector(${JSON.stringify(normalized)});\n    if (!element) return '';\n    if ('value' in element) return String(element.value || '');\n    return String(element.innerText || element.textContent || '');\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: true,\n    awaitPromise: false\n  });\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerSelectAll(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4, commands: ['SelectAll']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4\n  });\n}\n\nasync function debuggerPressEnter(target) {\n  // 与 Selenium/Playwright 的真实 Enter 等价：rawKeyDown 携带回车文本后再 keyUp。\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13, text: '\\r', unmodifiedText: '\\r'\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13\n  });\n}\n\nasync function debuggerTypeText(target, text) {\n  const value = String(text || '');\n  for (const character of value) {\n    await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n      type: 'char',\n      text: character,\n      unmodifiedText: character\n    });\n    await new Promise(resolve => setTimeout(resolve, 12));\n  }\n}\n\nasync function mainWorldWriteChatText(tabId, selector, text) {\n  const normalizedSelector = String(selector || '').trim();\n  const desired = String(text || '');\n  if (!normalizedSelector || !desired.trim()) throw new Error('聊天输入目标或招呼语为空');\n  const results = await chrome.scripting.executeScript({\n    target: { tabId: Number(tabId) },\n    world: 'MAIN',\n    func: (exactSelector, nextText) => {\n      const normalizeText = value => String(value || '').replace(/\\s+/g, '').trim();\n      const isEditable = node => {\n        if (!node || typeof node.matches !== 'function') return false;\n        const tag = String(node.tagName || '').toLowerCase();\n        if (tag === 'textarea') return true;\n        if (tag === 'input') {\n          const type = String(node.getAttribute('type') || 'text').toLowerCase();\n          return ['text', 'search', ''].includes(type);\n        }\n        const editableMode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n        return node.isContentEditable\n          || Boolean(editableMode && !['false', 'inherit', 'off'].includes(editableMode))\n          || node.getAttribute('role') === 'textbox'\n          || node.getAttribute('data-slate-editor') === 'true'\n          || node.getAttribute('data-lexical-editor') === 'true';\n      };\n      const deepQuery = (rootNode, query) => {\n        if (!rootNode) return null;\n        try {\n          const direct = rootNode.querySelector?.(query);\n          if (direct) return direct;\n        } catch {}\n        let elements = [];\n        try { elements = [...(rootNode.querySelectorAll?.('*') || [])]; } catch {}\n        for (const element of elements) {\n          if (element.shadowRoot) {\n            const found = deepQuery(element.shadowRoot, query);\n            if (found) return found;\n          }\n        }\n        return null;\n      };\n      const root = deepQuery(document, exactSelector);\n      if (!root) return { ok: false, reason: 'selector-not-found' };\n      const editor = isEditable(root)\n        ? root\n        : [...root.querySelectorAll('textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]')].find(isEditable);\n      if (!editor) return { ok: false, reason: 'editable-not-found', rootTag: String(root.tagName || '') };\n\n      const readValue = () => {\n        if ('value' in editor && !editor.isContentEditable) return String(editor.value || '');\n        return String(editor.innerText || editor.textContent || '');\n      };\n      const dispatchInput = (inputType, data) => {\n        try {\n          editor.dispatchEvent(new InputEvent('input', {\n            bubbles: true,\n            cancelable: false,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          editor.dispatchEvent(new Event('input', { bubbles: true, composed: true }));\n        }\n      };\n      const dispatchBeforeInput = (inputType, data) => {\n        try {\n          return editor.dispatchEvent(new InputEvent('beforeinput', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          return true;\n        }\n      };\n\n      editor.scrollIntoView?.({ block: 'nearest', inline: 'nearest', behavior: 'instant' });\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const previous = readValue();\n      const tag = String(editor.tagName || '').toLowerCase();\n      let method = '';\n\n      if ((tag === 'textarea' || tag === 'input') && 'value' in editor) {\n        const proto = tag === 'textarea' ? HTMLTextAreaElement.prototype : HTMLInputElement.prototype;\n        const setter = Object.getOwnPropertyDescriptor(proto, 'value')?.set;\n        dispatchBeforeInput('deleteByCut', null);\n        if (setter) setter.call(editor, ''); else editor.value = '';\n        dispatchInput('deleteByCut', null);\n        const tracker = editor._valueTracker;\n        if (tracker?.setValue) tracker.setValue(previous);\n        dispatchBeforeInput('insertText', nextText);\n        if (setter) setter.call(editor, nextText); else editor.value = nextText;\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        method = 'main-native-value-setter';\n      } else {\n        const selection = window.getSelection?.();\n        if (selection && document.createRange) {\n          const range = document.createRange();\n          range.selectNodeContents(editor);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        }\n        dispatchBeforeInput('deleteContentBackward', null);\n        let inserted = false;\n        try {\n          const transfer = new DataTransfer();\n          transfer.setData('text/plain', nextText);\n          const pasteEvent = new ClipboardEvent('paste', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            clipboardData: transfer\n          });\n          editor.dispatchEvent(pasteEvent);\n          inserted = normalizeText(readValue()).includes(normalizeText(nextText));\n        } catch {\n          inserted = false;\n        }\n        if (!inserted) {\n          try {\n            inserted = Boolean(document.execCommand?.('insertText', false, nextText));\n          } catch {\n            inserted = false;\n          }\n        }\n        if (!inserted || !normalizeText(readValue()).includes(normalizeText(nextText))) {\n          try {\n            editor.replaceChildren(document.createTextNode(nextText));\n          } catch {\n            editor.textContent = nextText;\n          }\n        }\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        try {\n          editor.dispatchEvent(new CompositionEvent('compositionend', { bubbles: true, composed: true, data: nextText }));\n        } catch {}\n        method = inserted ? 'main-exec-command' : 'main-contenteditable-replace';\n      }\n\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const actual = readValue();\n      const compactExpected = normalizeText(nextText);\n      const compactActual = normalizeText(actual);\n      return {\n        ok: Boolean(compactActual && compactActual.includes(compactExpected)),\n        method,\n        actual,\n        tag,\n        id: String(editor.id || ''),\n        className: String(editor.className || '').slice(0, 180),\n        contenteditable: String(editor.getAttribute?.('contenteditable') || ''),\n        role: String(editor.getAttribute?.('role') || '')\n      };\n    },\n    args: [normalizedSelector, desired]\n  });\n  return results?.[0]?.result || { ok: false, reason: 'main-world-no-result' };\n}\n\nasync function trustedChatInput(tabId, message = {}) {\n  const action = String(message.action || '');\n  if (action === 'replaceText' || action === 'replaceTextAndEnter') {\n    const text = String(message.text || '');\n    if (!text.trim()) throw new Error('待输入的招呼语为空');\n    const compactExpected = text.replace(/\\s+/g, '');\n\n    // 写入和 Enter 必须在同一次 debugger 会话、同一个精确编辑节点上完成。\n    // 这是 Selenium sendKeys / Playwright locator.type + Enter 的同类浏览器级路径，\n    // 避免旧版“聚焦了外壳、文字没有进入真实编辑器”的问题。\n    return withTabDebugger(tabId, async target => {\n      let focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n\n      const readExact = async () => debuggerReadObjectText(target, focus.objectId);\n      const refocus = async () => {\n        const refreshed = await debuggerFocusTarget(target, message);\n        if (refreshed.objectId) focus = refreshed;\n        if (!focus.objectId) throw new Error('BOSS 聊天编辑节点已失效');\n        return focus;\n      };\n      const matches = value => {\n        const compact = String(value || '').replace(/\\s+/g, '');\n        return Boolean(compact && (compact === compactExpected || compact.includes(compactExpected)));\n      };\n\n      let actual = '';\n      let writeMethod = '';\n\n      // 1) 精确对象聚焦后使用 CDP Input.insertText，最接近真实键盘输入。\n      await debuggerSelectAll(target);\n      await chrome.debugger.sendCommand(target, 'Input.insertText', { text });\n      await new Promise(resolve => setTimeout(resolve, 700));\n      actual = await readExact();\n      writeMethod = 'exact-cdp-insert-text';\n\n      // 2) 某些富文本编辑器只响应原生 paste。\n      if (!matches(actual) && await writeClipboardText(text)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerPasteClipboard(target);\n        await new Promise(resolve => setTimeout(resolve, 900));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-clipboard-paste';\n      }\n\n      // 3) React/Vue 受控编辑器可能需要主世界 setter/beforeinput/input。\n      if (!matches(actual)) {\n        const mainWrite = await mainWorldWriteChatText(tabId, message.selector, text).catch(error => ({\n          ok: false,\n          reason: String(error?.message || error || 'main-world-write-failed')\n        }));\n        await refocus();\n        await new Promise(resolve => setTimeout(resolve, 650));\n        actual = await readExact();\n        writeMethod = mainWrite?.method || 'main-world-write';\n      }\n\n      // 4) 最后兜底为逐字符可信键盘输入，仍锁定同一个真实节点。\n      if (!matches(actual)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerTypeText(target, text);\n        await new Promise(resolve => setTimeout(resolve, 1000));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-keyboard-type';\n      }\n\n      if (!matches(actual)) {\n        throw new Error(`文字没有进入 BOSS 真实聊天编辑器；实际长度=${String(actual || '').length}`);\n      }\n\n      if (action === 'replaceTextAndEnter') {\n        await refocus();\n        // 给 BOSS 受控状态一次提交渲染机会，再发送真实 Enter。\n        await new Promise(resolve => setTimeout(resolve, 520));\n        await debuggerPressEnter(target);\n      }\n\n      return {\n        ok: true,\n        action,\n        length: text.length,\n        insertedBeforeSend: true,\n        writeMethod,\n        actualLength: String(actual || '').length,\n        focusMethod: focus.method,\n        editor: {\n          nodeId: Number(focus.nodeId || 0),\n          selector: String(message.selector || '')\n        }\n      };\n    });\n  }\n\n  return withTabDebugger(tabId, async target => {\n    if (action === 'pressEnter') {\n      const focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n      await new Promise(resolve => setTimeout(resolve, 320));\n      await debuggerPressEnter(target);\n      return { ok: true, action, focusMethod: focus.method };\n    }\n    if (action === 'click') {\n      const click = await debuggerClickTarget(target, message);\n      return { ok: true, action, clickMethod: click.method };\n    }\n    throw new Error('不支持的可信输入动作');\n  });\n}\n\nasync function init() {\n  const current = await storage.all();\n  const patch = {};\n  for (const [key, value] of Object.entries(DEFAULTS)) {\n    if (current[key] === undefined) patch[key] = value;\n  }\n  if (!current.ui9ModeMigration) {\n    const currentConfig = current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...currentConfig,\n      executionMode: currentConfig.executionMode === 'auto' ? 'auto' : 'review',\n      dailyTarget: Number(currentConfig.dailyTarget || 0) === 40 ? 150 : Number(currentConfig.dailyTarget || 150)\n    };\n    patch.ui9ModeMigration = true;\n  }\n  if (!current.ui10UnlimitedV4Migration) {\n    const baseConfig = patch.config || current.config || {};\n    const baseModel = { ...DEFAULTS.config.model, ...(baseConfig.model || {}) };\n    const baseUrl = String(baseModel.baseUrl || DEFAULTS.config.model.baseUrl);\n    const modelName = String(baseModel.model || '').trim();\n    const isDeepSeek = /deepseek\\.com/i.test(baseUrl);\n    const legacyDeepSeekModel = !modelName || ['deepseek-chat', 'deepseek-reasoner', 'deepseek-v4'].includes(modelName);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      discoveryLimit: 0,\n      model: {\n        ...baseModel,\n        model: isDeepSeek && legacyDeepSeekModel ? 'deepseek-v4-pro' : (modelName || 'deepseek-v4-pro')\n      }\n    };\n    patch.ui10UnlimitedV4Migration = true;\n  }\n  if (!current.ui20ReliableSendMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(8, Math.min(30, Number(baseConfig.betweenJobsSeconds || 8))),\n      attachmentDelaySeconds: Math.max(1, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 2)))\n    };\n    patch.ui20ReliableSendMigration = true;\n  }\n  if (!current.ui21ConversationBindingMigration) {\n    patch.chatTransition = null;\n    patch.chatDeliveryLedger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object'\n      ? current.chatDeliveryLedger\n      : {};\n    patch.ui21ConversationBindingMigration = true;\n  }\n  if (!current.ui22StrictTranscriptMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(12, Math.min(30, Number(baseConfig.betweenJobsSeconds || 12))),\n      attachmentDelaySeconds: Math.max(4, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 4)))\n    };\n    patch.ui22StrictTranscriptMigration = true;\n  }\n  if (!current.ui24VerifiedConversationMigration) {\n    patch.chatTransition = null;\n    patch.ui24VerifiedConversationMigration = true;\n  }\n  if (!current.ui27TrustedInputMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      phase: 'idle',\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '可信发送引擎已升级，请重新开始任务'\n    };\n    patch.chatTransition = null;\n    patch.ui27TrustedInputMigration = true;\n  }\n  if (!current.ui12ProfileDraftMigration) {\n    let migratedProfile = current.profile && typeof current.profile === 'object' ? current.profile : null;\n    let migratedDraft = current.profileDraft && typeof current.profileDraft === 'object'\n      ? normalizeProfileDraft(current.profileDraft)\n      : null;\n    if (!profileDraftHasAny(migratedDraft) && profileHasCore(migratedProfile)) {\n      migratedDraft = profileToDraft(migratedProfile, 'migration');\n    }\n    if (!profileDraftHasCore(migratedDraft) && String(current.resumeText || '').trim().length >= 30) {\n      try {\n        migratedProfile = buildLocalProfile(current.resumeText || '');\n        migratedProfile.generation.mode = 'local-recovery';\n        migratedProfile.generation.label = '本地初稿';\n        migratedProfile.generation.warning = '已从保存的简历恢复初稿。';\n        migratedDraft = profileToDraft(migratedProfile, 'recovery');\n        patch.profile = migratedProfile;\n      } catch {\n        // 简历内容不足时只保留现有数据，不生成空画像。\n      }\n    }\n    if (profileDraftHasAny(migratedDraft)) patch.profileDraft = migratedDraft;\n    patch.ui12ProfileDraftMigration = true;\n  }\n  if (!current.ui37DirectionPlanMigration) {\n    const profileForPlan = patch.profile || current.profile || null;\n    const existingPlan = current.directionPlan && typeof current.directionPlan === 'object'\n      ? current.directionPlan\n      : null;\n    if (profileHasCore(profileForPlan)) {\n      patch.directionPlan = buildDirectionPlan(profileForPlan, existingPlan, {\n        confirmed: Boolean(existingPlan?.confirmed),\n        preserveSelections: true,\n        preserveEdits: true,\n        preserveCustom: true\n      });\n    } else if (existingPlan) {\n      patch.directionPlan = normalizeDirectionPlan(existingPlan, profileForPlan);\n    }\n    patch.ui37DirectionPlanMigration = true;\n  }\n  if (!current.ui18TaskProgressMigration) {\n    const migratedPending = Array.isArray(current.pending) ? current.pending.map(entry => ({ ...entry })) : [];\n    const migratedRuns = Array.isArray(current.taskRuns) ? current.taskRuns.map(run => normalizeTaskRun(run, run)) : [];\n    for (let index = 0; index < migratedPending.length; index += 1) {\n      const item = migratedPending[index];\n      let run = migratedRuns.find(entry => entry.id === item.runId || entry.pendingId === item.id);\n      if (!run) {\n        const statusMap = {\n          pending: ['waiting_review', 'waiting_review', 60],\n          approved: ['running', 'queued', 64],\n          approved_queue: ['queued', 'queued', 64],\n          sent: ['success', 'success', 100],\n          failed: ['failed', 'failed', 100],\n          rejected: ['ignored', 'ignored', 100]\n        };\n        const [status, stage, progress] = statusMap[item.status] || ['skipped', 'skipped', 100];\n        run = normalizeTaskRun({\n          id: crypto.randomUUID(),\n          pendingId: item.id,\n          job: item.job,\n          analysis: item.analysis,\n          searchTask: item.task,\n          status,\n          stage,\n          progress,\n          error: item.error || '',\n          retryable: item.status === 'failed',\n          createdAt: item.createdAt || Date.now(),\n          completedAt: ['sent', 'failed', 'rejected'].includes(item.status) ? (item.completedAt || item.rejectedAt || Date.now()) : null\n        });\n        migratedRuns.push(run);\n      }\n      migratedPending[index] = { ...item, runId: run.id };\n    }\n    const workflow = { ...DEFAULTS.workflow, ...(current.workflow || {}) };\n    workflow.tasks = (workflow.tasks || []).map((task, index) => ({\n      ...task,\n      id: task.id || crypto.randomUUID(),\n      status: task.status || (index < Number(workflow.taskIndex || 0) ? 'completed' : index === Number(workflow.taskIndex || 0) && workflow.running ? 'running' : 'pending'),\n      progress: Number.isFinite(Number(task.progress)) ? Number(task.progress) : (index < Number(workflow.taskIndex || 0) ? 100 : 0),\n      stageLabel: task.stageLabel || (index < Number(workflow.taskIndex || 0) ? '已完成' : '等待开始'),\n      processed: Number(task.processed || 0),\n      discovered: Number(task.discovered || 0),\n      analyzed: Number(task.analyzed || 0),\n      failed: Number(task.failed || 0)\n    }));\n    patch.pending = migratedPending;\n    patch.taskRuns = migratedRuns;\n    patch.workflow = workflow;\n    patch.ui18TaskProgressMigration = true;\n  }\n  if (!current.ui20GreetingLockMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = basePending.map(item => ({\n      ...item,\n      deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim()\n    }));\n    patch.ui20GreetingLockMigration = true;\n  }\n  if (!current.ui30AtomicSendSortMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '投递引擎与岗位自动排序已升级，请重新开始'\n    };\n    patch.chatTransition = null;\n    patch.ui30AtomicSendSortMigration = true;\n  }\n  if (!current.ui31ConversationSelectionMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话选择与身份核对已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui31ConversationSelectionMigration = true;\n  }\n  if (!current.ui35ConversationKeyMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话锁已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui35ConversationKeyMigration = true;\n  }\n  if (!current.v130SingleValidationMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const alreadySuccessful = Number(current.stats?.sent || 0) > 0\n      || Number(baseConfig.singleJobValidationCompletedAt || 0) > 0;\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      requireSingleJobValidation: baseConfig.requireSingleJobValidation !== false,\n      singleJobValidationCompletedAt: alreadySuccessful\n        ? Number(baseConfig.singleJobValidationCompletedAt || Date.now())\n        : 0\n    };\n    patch.v130SingleValidationMigration = true;\n  }\n  if (!current.v170SafetyIntelligenceMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const legacyTarget = Number(baseConfig.dailyTarget || 0);\n    const legacyDiscovery = Number(baseConfig.discoveryLimit || 0);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: normalizeStrategy(baseConfig.batchStrategy),\n      dryRun: Boolean(baseConfig.dryRun),\n      dailyTarget: legacyTarget <= 0 ? 30 : Math.min(150, legacyTarget),\n      discoveryLimit: legacyDiscovery <= 0 ? 150 : Math.min(800, legacyDiscovery),\n      betweenJobsSeconds: Math.max(6, Number(baseConfig.betweenJobsSeconds || 9)),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      maxConsecutiveFailures: Math.max(1, Math.min(10, Number(baseConfig.maxConsecutiveFailures || 3))),\n      jitterSeconds: Math.max(0, Math.min(15, Number(baseConfig.jitterSeconds ?? 3))),\n      companyVerificationEnabled: baseConfig.companyVerificationEnabled !== false,\n      companyVerificationProvider: String(baseConfig.companyVerificationProvider || 'bridge'),\n      companyVerificationCacheDays: Math.max(1, Math.min(90, Number(baseConfig.companyVerificationCacheDays || 14))),\n      blockUnknownCompanies: Boolean(baseConfig.blockUnknownCompanies),\n      updateCheckEnabled: baseConfig.updateCheckEnabled !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.companyVerificationCache = current.companyVerificationCache && typeof current.companyVerificationCache === 'object' ? current.companyVerificationCache : {};\n    patch.deliveryHistory = Array.isArray(current.deliveryHistory) ? current.deliveryHistory : [];\n    patch.updateInfo = { ...DEFAULTS.updateInfo, ...(current.updateInfo || {}), currentVersion: '1.7.0' };\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...(patch.workflow || current.workflow || {}),\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'v1.7 安全投递引擎已升级 请检查限速和企业核验设置后重新开始'\n    };\n    patch.v170SafetyIntelligenceMigration = true;\n  }\n  if (!current.v170FormalReleaseMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const migratedStrategy = normalizeStrategy(baseConfig.batchStrategy);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: migratedStrategy,\n      massApplyAnalysis: ['fast', 'ai'].includes(baseConfig.massApplyAnalysis) ? baseConfig.massApplyAnalysis : 'fast',\n      pacingPreset: ['conservative', 'standard', 'efficient', 'custom'].includes(baseConfig.pacingPreset) ? baseConfig.pacingPreset : 'standard',\n      dailyTarget: Math.max(1, Math.min(150, Number(baseConfig.dailyTarget || 30))),\n      discoveryLimit: Math.max(1, Math.min(800, Number(baseConfig.discoveryLimit || 150))),\n      betweenJobsSeconds: Math.max(6, Math.min(120, Number(baseConfig.betweenJobsSeconds || 9))),\n      attachmentDelaySeconds: Math.max(1.5, Math.min(15, Number(baseConfig.attachmentDelaySeconds || 3))),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      queueWarmup: Math.max(1, Math.min(10, Number(baseConfig.queueWarmup || 4))),\n      dailyReportEnabled: baseConfig.dailyReportEnabled !== false,\n      dailyReportTime: /^\\d{2}:\\d{2}$/.test(String(baseConfig.dailyReportTime || '')) ? String(baseConfig.dailyReportTime) : '20:30',\n      dailyReportNotification: baseConfig.dailyReportNotification !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.v170FormalReleaseMigration = true;\n  }\n  if (Object.keys(patch).length) await storage.set(patch);\n  const { stats } = await storage.get('stats');\n  if (!stats || stats.date !== today()) {\n    await storage.set({ stats: { ...DEFAULTS.stats, date: today() } });\n  }\n  await refreshBossTabsForRuntimeVersion();\n  await chrome.sidePanel.setPanelBehavior({ openPanelOnActionClick: true }).catch(() => {});\n  chrome.alarms.create('jobclaw-tick', { periodInMinutes: 1 });\n  chrome.alarms.create('jobclaw-update-check', { periodInMinutes: 360 });\n  checkForUpdates(false).catch(() => {});\n  syncBridgeSnapshot(true).catch(() => {});\n}\n\nfunction publicState(all) {\n  const state = safeClone(all);\n  if (state?.config?.model) {\n    state.config.model.apiKey = state.config.model.apiKey ? '***' : '';\n  }\n  if (state?.resumeImage) state.resumeImage = '[已保存]';\n  if (state?.resumeSourceFile) {\n    const { name, type, size, lastModified } = state.resumeSourceFile;\n    state.resumeSourceFile = { name, type, size, lastModified, stored: true };\n  }\n  return state;\n}\n\nasync function writeEvent(level, message, data = {}) {\n  const { events = [] } = await storage.get('events');\n  const event = { id: crypto.randomUUID(), ts: Date.now(), level, message, data };\n  events.unshift(event);\n  await storage.set({ events: events.slice(0, 300) });\n  bridge('/sync', { event }).catch(() => {});\n  return event;\n}\n\nasync function patchWorkflow(patch) {\n  const { workflow } = await storage.get('workflow');\n  const next = { ...DEFAULTS.workflow, ...(workflow || {}), ...(patch || {}) };\n  await storage.set({ workflow: next });\n  return next;\n}\n\nasync function changeStats(delta = {}) {\n  const { stats } = await storage.get('stats');\n  const next = { ...DEFAULTS.stats, ...(stats || {}), date: today() };\n  for (const [key, value] of Object.entries(delta)) {\n    next[key] = Math.max(0, Number(next[key] || 0) + Number(value || 0));\n  }\n  await storage.set({ stats: next });\n  return next;\n}\n\n\nfunction runJobKey(job = {}) {\n  return String(job.jobId || job.encryptJobId || job.url || [job.title, job.company, job.location].filter(Boolean).join('|') || '').trim();\n}\n\nfunction normalizeTaskRun(input = {}, existing = {}) {\n  const now = Date.now();\n  const stage = String(input.stage || existing.stage || 'discovered');\n  const meta = taskStageMeta(stage, input.stageLabel, input.progress);\n  const status = String(input.status || existing.status || 'running');\n  const terminal = TERMINAL_RUN_STATUSES.has(status);\n  return {\n    ...existing,\n    ...input,\n    id: input.id || existing.id || crypto.randomUUID(),\n    jobKey: input.jobKey || existing.jobKey || runJobKey(input.job || existing.job || {}),\n    status,\n    stage,\n    stageLabel: meta.label,\n    progress: meta.progress,\n    createdAt: existing.createdAt || input.createdAt || now,\n    startedAt: existing.startedAt || input.startedAt || (status === 'running' ? now : null),\n    updatedAt: now,\n    completedAt: terminal ? (input.completedAt || existing.completedAt || now) : null,\n    retryCount: Math.max(0, Number(input.retryCount ?? existing.retryCount ?? 0)),\n    error: String(input.error ?? existing.error ?? ''),\n    retryable: input.retryable ?? existing.retryable ?? Boolean(input.pendingId || existing.pendingId)\n  };\n}\n\nasync function upsertTaskRun(patch = {}) {\n  const { taskRuns = [] } = await storage.get('taskRuns');\n  const jobKey = patch.jobKey || runJobKey(patch.job || {});\n  const index = taskRuns.findIndex(run => run.id === patch.id || (jobKey && run.jobKey === jobKey && !TERMINAL_RUN_STATUSES.has(run.status)));\n  const existing = index >= 0 ? taskRuns[index] : {};\n  const nextRun = normalizeTaskRun({ ...patch, jobKey }, existing);\n  const next = index >= 0\n    ? taskRuns.map((run, runIndex) => runIndex === index ? nextRun : run)\n    : [nextRun, ...taskRuns];\n  await storage.set({ taskRuns: next });\n  return nextRun;\n}\n\nasync function updateTaskRunByPending(pendingId, patch = {}) {\n  if (!pendingId) return null;\n  const { pending = [], taskRuns = [] } = await storage.get(['pending', 'taskRuns']);\n  const item = pending.find(entry => entry.id === pendingId);\n  const run = taskRuns.find(entry => entry.id === item?.runId || entry.pendingId === pendingId);\n  if (!run && !item) return null;\n  return upsertTaskRun({\n    id: run?.id || item?.runId,\n    pendingId,\n    job: item?.job || run?.job,\n    analysis: item?.analysis || run?.analysis,\n    searchTask: item?.task || run?.searchTask,\n    ...patch\n  });\n}\n\nasync function updateSearchTaskProgress(message = {}) {\n  const { workflow } = await storage.get('workflow');\n  const nextWorkflow = { ...DEFAULTS.workflow, ...(workflow || {}) };\n  const tasks = Array.isArray(nextWorkflow.tasks) ? [...nextWorkflow.tasks] : [];\n  const index = tasks.findIndex(task => task.id === message.taskId);\n  const fallbackIndex = Number.isInteger(message.taskIndex) ? message.taskIndex : -1;\n  const targetIndex = index >= 0 ? index : fallbackIndex;\n  if (targetIndex < 0 || targetIndex >= tasks.length) return null;\n  const current = tasks[targetIndex] || {};\n  const progress = Math.max(0, Math.min(100, Number(message.progress ?? current.progress ?? 0)));\n  tasks[targetIndex] = {\n    ...current,\n    status: message.status || current.status || 'pending',\n    stageLabel: message.stageLabel || current.stageLabel || '',\n    progress,\n    processed: Math.max(0, Number(message.processed ?? current.processed ?? 0)),\n    discovered: Math.max(0, Number(message.discovered ?? current.discovered ?? 0)),\n    analyzed: Math.max(0, Number(message.analyzed ?? current.analyzed ?? 0)),\n    failed: Math.max(0, Number(message.failed ?? current.failed ?? 0)),\n    updatedAt: Date.now(),\n    completedAt: message.status === 'completed' ? Date.now() : current.completedAt || null\n  };\n  nextWorkflow.tasks = tasks;\n  await storage.set({ workflow: nextWorkflow });\n  return tasks[targetIndex];\n}\n\nasync function retryFailedTask(runId) {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  if (run.status === 'success') throw new Error('该岗位已经投递成功，不会重复投递');\n  if (workflow.running && (workflow.activeRunId === run.id || workflow.pendingApplyId === run.pendingId)) {\n    throw new Error('该失败任务正在重试，请等待当前结果');\n  }\n  if (Number(run.retryRequestedAt || 0) > Date.now() - 15000) {\n    throw new Error('该任务刚刚提交过重试，请稍后查看结果');\n  }\n  let item = pending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n  if (!item && run.job && run.analysis) {\n    item = {\n      id: crypto.randomUUID(),\n      runId: run.id,\n      job: run.job,\n      analysis: run.analysis,\n      deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n      task: run.searchTask || {},\n      status: 'approved',\n      createdAt: Date.now(),\n      approvedAt: Date.now()\n    };\n  }\n  if (!item) throw new Error('该历史任务缺少岗位或招呼语信息，无法直接重试');\n  if (item.status === 'sent') throw new Error('该岗位已经投递成功，不会重复投递');\n  item = {\n    ...item,\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: 'approved', error: '', approvedAt: Date.now(), runId: run.id\n  };\n  const nextPending = pending.some(entry => entry.id === item.id)\n    ? pending.map(entry => entry.id === item.id ? item : entry)\n    : [item, ...pending];\n  await storage.set({ pending: rerankPending(nextPending) });\n  await upsertTaskRun({\n    id: run.id,\n    pendingId: item.id,\n    job: item.job,\n    analysis: item.analysis,\n    searchTask: item.task,\n    status: 'running',\n    stage: 'retry_queued',\n    progress: 66,\n    stageLabel: '等待重新投递',\n    error: '',\n    retryable: true,\n    retryCount: Number(run.retryCount || 0) + 1,\n    retryRequestedAt: Date.now(),\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `正在重新投递：${item.job?.title || '岗位'}`,\n    pendingApplyId: item.id,\n    activeRunId: run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n    setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  } catch (error) {\n    await upsertTaskRun({ id: run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '重新投递启动失败', error: error.message, retryable: true });\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '重新投递启动失败' });\n    throw error;\n  }\n  return { runId: run.id, pendingId: item.id };\n}\n\nasync function retryAllFailedTasks() {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  if (workflow.running && workflow.activeRunId) {\n    throw new Error('当前已有投递任务正在执行，请等待完成后再批量重试');\n  }\n  const failedRuns = taskRuns.filter(run => run.status === 'failed'\n    && run.retryable !== false\n    && Number(run.retryRequestedAt || 0) <= Date.now() - 15000);\n  if (!failedRuns.length) return { count: 0 };\n  const nextPending = [...pending];\n  const queue = [];\n  for (const run of failedRuns) {\n    if (run.status === 'success') continue;\n    let item = nextPending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n    if (!item && run.job && run.analysis) {\n      item = {\n        id: crypto.randomUUID(), runId: run.id, job: run.job, analysis: run.analysis,\n        deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n        task: run.searchTask || {}, createdAt: Date.now()\n      };\n      nextPending.unshift(item);\n    }\n    if (!item || item.status === 'sent') continue;\n    item.deliveryGreeting = String(item.deliveryGreeting || item.analysis?.greeting || '').trim();\n    item.status = queue.length ? 'approved_queue' : 'approved';\n    item.approvedAt = Date.now();\n    item.error = '';\n    const pendingIndex = nextPending.findIndex(entry => entry.id === item.id);\n    if (pendingIndex >= 0) nextPending[pendingIndex] = { ...item };\n    queue.push({ run, item });\n  }\n  if (!queue.length) return { count: 0 };\n  await storage.set({ pending: rerankPending(nextPending) });\n  for (const [index, entry] of queue.entries()) {\n    await upsertTaskRun({\n      id: entry.run.id,\n      pendingId: entry.item.id,\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'retry_queued',\n      progress: 66,\n      stageLabel: index === 0 ? '正在重新投递' : '等待重新投递',\n      error: '',\n      retryable: true,\n      retryCount: Number(entry.run.retryCount || 0) + 1,\n      retryRequestedAt: Date.now(),\n      completedAt: null\n    });\n  }\n  const first = queue[0];\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `重新投递 1/${queue.length}：${first.item.job?.title || '岗位'}`,\n    pendingApplyId: first.item.id,\n    activeRunId: first.run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n  } catch (error) {\n    for (const entry of queue) {\n      await upsertTaskRun({ id: entry.run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '批量重试启动失败', error: error.message, retryable: true });\n    }\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '批量重试启动失败' });\n    throw error;\n  }\n  return { count: queue.length };\n}\n\nasync function ignoreFailedTask(runId) {\n  const { taskRuns = [], pending = [] } = await storage.get(['taskRuns', 'pending']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  const nextPending = pending.map(entry => entry.id === run.pendingId || entry.runId === run.id\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: nextPending });\n  return upsertTaskRun({ id: run.id, status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\nconst BOSS_URL_PATTERN = /^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i;\nconst NO_RECEIVER_PATTERN = /Could not establish connection|Receiving end does not exist|message port closed|No tab with id/i;\nconst wait = ms => new Promise(resolve => setTimeout(resolve, ms));\n\nfunction receiverMatchesExpectedVersion(probe) {\n  return Boolean(probe?.ok && probe.contentVersion === EXPECTED_CONTENT_VERSION && probe.contentFile === CONTENT_SCRIPT_FILE);\n}\n\nasync function waitForTabReady(tabId, timeout = 16000) {\n  if (!chrome.tabs?.get) {\n    await wait(900);\n    return null;\n  }\n  const startedAt = Date.now();\n  while (Date.now() - startedAt < timeout) {\n    const tab = await chrome.tabs.get(tabId).catch(() => null);\n    if (tab?.status === 'complete') return tab;\n    await wait(180);\n  }\n  return chrome.tabs.get(tabId).catch(() => null);\n}\n\nasync function reloadBossTab(tab, reason = 'runtime-refresh') {\n  if (!tab?.id || !chrome.tabs?.reload) return tab;\n  await chrome.tabs.reload(tab.id, { bypassCache: true });\n  const ready = await waitForTabReady(tab.id);\n  await writeEvent('info', 'BOSS 页面助手已自动刷新', { reason, tabId: tab.id, contentVersion: EXPECTED_CONTENT_VERSION }).catch(() => {});\n  return ready || tab;\n}\n\nasync function refreshBossTabsForRuntimeVersion() {\n  const key = 'bossContentRuntimeVersion';\n  const current = await storage.get(key);\n  if (current?.[key] === EXPECTED_CONTENT_VERSION) return;\n  await storage.set({ [key]: EXPECTED_CONTENT_VERSION });\n  if (!chrome.tabs?.query || !chrome.tabs?.reload) return;\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] }).catch(() => []);\n  for (const tab of tabs || []) {\n    if (!tab?.id) continue;\n    await chrome.tabs.reload(tab.id, { bypassCache: true }).catch(() => {});\n  }\n}\n\nasync function activeBossTab() {\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] });\n  return tabs.find(tab => tab.active) || tabs[0] || null;\n}\n\nfunction bossConnectionError(error) {\n  const message = String(error?.message || error || '');\n  if (NO_RECEIVER_PATTERN.test(message)) {\n    return 'BOSS 页面连接尚未就绪，JobClaw 已尝试自动修复。请刷新当前 BOSS 页面后再点一次开始。';\n  }\n  if (/Cannot access contents of url|The extensions gallery cannot be scripted|Missing host permission/i.test(message)) {\n    return '当前页面无法接入 JobClaw。请确认打开的是 BOSS 直聘岗位页或沟通页。';\n  }\n  return message || 'BOSS 页面连接失败';\n}\n\nasync function probeBossReceiver(tab) {\n  return chrome.tabs.sendMessage(tab.id, { type: 'PROBE', expectedContentVersion: EXPECTED_CONTENT_VERSION });\n}\n\nasync function injectBossContent(tab) {\n  if (!chrome.scripting?.executeScript) throw new Error('扩展缺少页面注入能力，请重新加载最新版 JobClaw');\n  await chrome.scripting.executeScript({\n    target: { tabId: tab.id },\n    files: [CONTENT_SCRIPT_FILE]\n  });\n}\n\nasync function ensureBossReceiver(tab) {\n  if (!tab?.id) throw new Error('请先打开并登录 BOSS 直聘');\n  if (!BOSS_URL_PATTERN.test(String(tab.url || ''))) {\n    throw new Error('请切换到 BOSS 直聘岗位页或沟通页');\n  }\n\n  let probe = null;\n  try {\n    probe = await probeBossReceiver(tab);\n    if (receiverMatchesExpectedVersion(probe)) return probe;\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n  }\n\n  // 能收到响应但版本不一致，说明当前标签页仍保留旧内容脚本。必须整页刷新，\n  // 不能继续在同一页面叠加注入，否则旧 RUN 监听器仍可能执行。\n  if (probe?.ok && !receiverMatchesExpectedVersion(probe)) {\n    tab = await reloadBossTab(tab, `stale-${probe.contentVersion || 'legacy'}`);\n  }\n\n  for (let attempt = 0; attempt < 5; attempt += 1) {\n    await wait(180 + attempt * 140);\n    try {\n      const currentProbe = await probeBossReceiver(tab);\n      if (receiverMatchesExpectedVersion(currentProbe)) return currentProbe;\n      if (currentProbe?.ok && !receiverMatchesExpectedVersion(currentProbe) && attempt === 0) {\n        tab = await reloadBossTab(tab, `mismatch-${currentProbe.contentVersion || 'legacy'}`);\n      }\n    } catch (error) {\n      if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n        throw new Error(bossConnectionError(error));\n      }\n      if (attempt === 1) {\n        try { await injectBossContent(tab); } catch (injectError) { throw new Error(bossConnectionError(injectError)); }\n      }\n    }\n  }\n  throw new Error(`BOSS 页面助手版本未就绪（需要 ${EXPECTED_CONTENT_VERSION}）。JobClaw 已自动刷新页面，请再点一次开始。`);\n}\n\nasync function sendToBossTab(tab, message) {\n  await ensureBossReceiver(tab);\n  try {\n    return await chrome.tabs.sendMessage(tab.id, message);\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n    tab = await reloadBossTab(tab, 'message-receiver-lost');\n    await ensureBossReceiver(tab);\n    try {\n      return await chrome.tabs.sendMessage(tab.id, message);\n    } catch (retryError) {\n      throw new Error(bossConnectionError(retryError));\n    }\n  }\n}\n\nasync function sendToBoss(message) {\n  const tab = await activeBossTab();\n  if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n  return sendToBossTab(tab, message);\n}\n\nasync function nativeBridge(path, body) {\n  if (!chrome.runtime?.sendNativeMessage) throw new Error('当前 Chrome 不支持 Native Messaging');\n  const response = await chrome.runtime.sendNativeMessage(NATIVE_BRIDGE_HOST, { path, body: body ?? null });\n  if (!response || response.ok === false) throw new Error(response?.error || '本地桥接没有返回结果');\n  const payload = response.payload && typeof response.payload === 'object' ? response.payload : response;\n  return { ...payload, _transport: 'native' };\n}\n\nasync function bridge(path, body) {\n  const failures = [];\n  const timeoutMs = path === '/parse-resume' ? 190000 : path === '/company/verify' ? 3500 : path === '/status' ? 3000 : 8000;\n  for (const base of BRIDGE_ENDPOINTS) {\n    const controller = new AbortController();\n    const timeout = setTimeout(() => controller.abort(), timeoutMs);\n    try {\n      const response = await fetch(`${base}${path}`, {\n        method: body ? 'POST' : 'GET',\n        headers: { 'Content-Type': 'application/json' },\n        body: body ? JSON.stringify(body) : undefined,\n        cache: 'no-store',\n        credentials: 'omit',\n        signal: controller.signal\n      });\n      const payload = await response.json().catch(() => ({}));\n      if (!response.ok) throw new Error(payload.error || `本地桥接返回 HTTP ${response.status}`);\n      bridgeUnavailableUntil = 0;\n      bridgeLastError = '';\n      return { ...payload, _transport: 'http', _endpoint: base };\n    } catch (error) {\n      failures.push(`${base} ${error?.name === 'AbortError' ? '连接超时' : String(error?.message || error)}`);\n    } finally {\n      clearTimeout(timeout);\n    }\n  }\n  try {\n    const payload = await nativeBridge(path, body);\n    bridgeUnavailableUntil = 0;\n    bridgeLastError = '';\n    return payload;\n  } catch (error) {\n    failures.push(`Native Messaging ${String(error?.message || error)}`);\n    bridgeLastError = String(error?.message || error);\n    if (path === '/company/verify') bridgeUnavailableUntil = Date.now() + 5 * 60 * 1000;\n  }\n  throw new Error(`OpenClaw 桌面桥接未连接。请双击“安装桌面桥接-mac.command”完成安装或修复。${failures.length ? ` 诊断：${failures.join('；')}` : ''}`);\n}\n\nasync function diagnoseBridge() {\n  const attempts = [];\n  for (const base of BRIDGE_ENDPOINTS) {\n    const startedAt = Date.now();\n    const controller = new AbortController();\n    const timer = setTimeout(() => controller.abort(), 2500);\n    try {\n      const response = await fetch(`${base}/status`, { cache: 'no-store', credentials: 'omit', signal: controller.signal });\n      const payload = await response.json().catch(() => ({}));\n      attempts.push({ transport: 'http', endpoint: base, ok: response.ok, elapsedMs: Date.now() - startedAt, status: response.status, payload });\n      if (response.ok) return { ok: true, transport: 'http', runtimeId: chrome.runtime.id, attempts, status: payload };\n    } catch (error) {\n      attempts.push({ transport: 'http', endpoint: base, ok: false, elapsedMs: Date.now() - startedAt, error: error?.name === 'AbortError' ? '连接超时' : String(error?.message || error) });\n    } finally {\n      clearTimeout(timer);\n    }\n  }\n  try {\n    const status = await nativeBridge('/status');\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: true });\n    return { ok: true, transport: 'native', runtimeId: chrome.runtime.id, attempts, status };\n  } catch (error) {\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: false, error: String(error?.message || error) });\n  }\n  return {\n    ok: false,\n    runtimeId: chrome.runtime.id,\n    expectedRuntimeId: 'dkfilgjiooigjbollljdionbnnofekkh',\n    attempts,\n    fix: '退出旧桥接后 双击项目根目录的“安装桌面桥接-mac.command” 安装完成后回到扩展点击检测连接',\n    logPaths: ['~/.jobclaw/bridge.log', '~/.jobclaw/bridge-error.log']\n  };\n}\n\nfunction bridgeSnapshot(all = {}) {\n  const config = all.config || {};\n  const pending = Array.isArray(all.pending) ? all.pending : [];\n  const taskRuns = Array.isArray(all.taskRuns) ? all.taskRuns : [];\n  return {\n    ts: Date.now(),\n    stats: { ...(all.stats || {}) },\n    workflow: {\n      running: Boolean(all.workflow?.running),\n      paused: Boolean(all.workflow?.paused),\n      phase: String(all.workflow?.phase || 'idle'),\n      statusText: String(all.workflow?.statusText || '')\n    },\n    queue: {\n      waiting: pending.filter(item => ['pending', 'approved_queue', 'approved'].includes(item.status)).length,\n      sent: pending.filter(item => item.status === 'sent').length,\n      failed: pending.filter(item => item.status === 'failed').length\n    },\n    recentRuns: taskRuns.filter(() => true).slice(0, 30).map(run => ({\n      status: run.status,\n      stageLabel: run.stageLabel,\n      job: run.job ? { title: run.job.title || '', company: run.job.company || '' } : null,\n      updatedAt: run.updatedAt || run.completedAt || run.createdAt || 0\n    })),\n    config: {\n      batchStrategy: normalizeStrategy(config.batchStrategy),\n      massApplyAnalysis: config.massApplyAnalysis || 'fast',\n      pacingPreset: config.pacingPreset || 'standard',\n      dailyTarget: Number(config.dailyTarget || 30),\n      dailyReportEnabled: config.dailyReportEnabled !== false,\n      dailyReportTime: String(config.dailyReportTime || '20:30'),\n      dailyReportNotification: config.dailyReportNotification !== false\n    }\n  };\n}\n\nasync function syncBridgeSnapshot(force = false) {\n  if (!force && Date.now() - lastBridgeSnapshotAt < 55 * 1000) return { skipped: true };\n  lastBridgeSnapshotAt = Date.now();\n  const snapshot = bridgeSnapshot(await storage.all());\n  return bridge('/sync', { snapshot });\n}\n\nasync function enforceRateLimit(scope = 'discovery') {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const now = Date.now();\n  const decision = computeRateLimitDecision(config, safetyState, scope, now);\n  if (!decision.allowed) {\n    await patchWorkflow({ running: false, paused: true, statusText: decision.reason || '安全熔断已开启' });\n    return { ok: false, ...decision };\n  }\n  const reservedAt = now + Number(decision.waitMs || 0);\n  const nextState = recordRateAction(safetyState, scope, reservedAt, Number(decision.waitMs || 0) > 0);\n  await storage.set({ safetyState: nextState });\n  return { ok: true, ...decision, reservedAt };\n}\n\nasync function applySafetyOutcome(outcome = {}) {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const next = recordSafetyOutcome(config, safetyState, outcome);\n  await storage.set({ safetyState: next });\n  if (next.circuitOpen) {\n    await patchWorkflow({\n      running: false,\n      paused: true,\n      phase: 'safety_stop',\n      pendingApplyId: null,\n      statusText: `安全熔断：${next.circuitReason || '连续任务失败'}`\n    });\n    await writeEvent('warning', '安全熔断已开启', { reason: next.circuitReason, failures: next.consecutiveFailures });\n    chrome.notifications.create(`jobclaw-safety-${Date.now()}`, {\n      type: 'basic',\n      iconUrl: 'icon128.png',\n      title: 'JobClaw 已安全暂停',\n      message: next.circuitReason || '连续任务失败，请检查页面后手动恢复'\n    }).catch(() => {});\n  }\n  return next;\n}\n\nasync function clearSafetyCircuit() {\n  const { safetyState = {} } = await storage.get('safetyState');\n  const next = resetSafetyCircuit(safetyState);\n  await storage.set({ safetyState: next });\n  await writeEvent('info', '安全熔断已重置');\n  return next;\n}\n\nasync function verifyCompanyForJob(job = {}, force = false) {\n  const { config = {}, companyVerificationCache = {} } = await storage.get(['config', 'companyVerificationCache']);\n  const fallback = heuristicCompanyVerification(job);\n  if (config.companyVerificationEnabled === false) {\n    return { ...fallback, provider: 'disabled', status: 'disabled', verified: false, riskLevel: fallback.riskLevel === 'high' ? 'high' : 'unknown' };\n  }\n  const key = companyCacheKey(job.company);\n  const cached = companyVerificationCache[key];\n  if (!force && cached && !companyVerificationExpired(cached, config.companyVerificationCacheDays || 14)) {\n    return { ...cached, cacheHit: true };\n  }\n  let providerResult = null;\n  if (config.companyVerificationProvider !== 'local' && Date.now() < bridgeUnavailableUntil) {\n    providerResult = {\n      provider: 'bridge-cooldown',\n      status: 'unavailable',\n      verified: false,\n      riskLevel: 'unknown',\n      confidence: 0,\n      signals: [`OpenClaw暂不可用 已在本地快速降级 ${bridgeLastError || ''}`.trim()],\n      evidence: [],\n      checkedAt: Date.now()\n    };\n  }\n  if (config.companyVerificationProvider !== 'local' && !providerResult) {\n    const throttle = await enforceRateLimit('company');\n    if (throttle.ok && throttle.waitMs) await wait(throttle.waitMs);\n    try {\n      const response = await bridge('/company/verify', {\n        provider: config.companyVerificationProvider || 'bridge',\n        companyName: job.company || '',\n        job: {\n          title: job.title || '',\n          company: job.company || '',\n          location: job.location || '',\n          description: job.description || job.cardText || '',\n          url: job.url || ''\n        }\n      });\n      providerResult = response?.result || response;\n    } catch (error) {\n      providerResult = {\n        provider: 'bridge-unavailable',\n        status: 'unavailable',\n        verified: false,\n        riskLevel: 'unknown',\n        confidence: 0,\n        signals: [`企业数据源暂不可用：${error.message}`],\n        evidence: []\n      };\n    }\n  }\n  const merged = mergeCompanyVerification(providerResult || {}, fallback);\n  const nextCache = { ...companyVerificationCache, [key]: merged };\n  const entries = Object.entries(nextCache).sort((a, b) => Number(b[1]?.checkedAt || 0) - Number(a[1]?.checkedAt || 0)).slice(0, 500);\n  await storage.set({ companyVerificationCache: Object.fromEntries(entries) });\n  return { ...merged, cacheHit: false };\n}\n\nasync function preflightJob(job = {}) {\n  const { config = {}, pending = [], deliveryHistory = [] } = await storage.get(['config', 'pending', 'deliveryHistory']);\n  const duplicate = findDuplicate(job, {\n    pending,\n    history: deliveryHistory,\n    maxPerCompanyPerDay: config.maxPerCompanyPerDay || 2,\n    date: today()\n  });\n  if (duplicate.duplicate) {\n    await changeStats({ duplicates: 1, blocked: 1 });\n    return { ok: true, blocked: true, category: 'duplicate', reason: duplicate.reason, duplicate };\n  }\n  const company = await verifyCompanyForJob(job);\n  const blockUnknown = Boolean(config.blockUnknownCompanies);\n  const blocked = company.riskLevel === 'high' || (blockUnknown && company.riskLevel === 'unknown');\n  await changeStats(blocked ? { blocked: 1 } : company.verified ? { verified: 1 } : {});\n  return {\n    ok: true,\n    blocked,\n    category: blocked ? 'company-risk' : 'accepted',\n    reason: blocked ? (company.signals?.[0] || '企业核验未通过') : '',\n    company,\n    duplicate\n  };\n}\n\nasync function checkForUpdates(force = false) {\n  const currentVersion = chrome.runtime.getManifest().version;\n  const { config = {}, updateInfo = {} } = await storage.get(['config', 'updateInfo']);\n  if (config.updateCheckEnabled === false && !force) return updateInfo;\n  if (!force && Number(updateInfo.checkedAt || 0) && Date.now() - Number(updateInfo.checkedAt) < 6 * 60 * 60 * 1000) return updateInfo;\n  try {\n    const response = await fetch('https://api.github.com/repos/Chrisbetheking/job-claw/releases/latest', {\n      headers: { Accept: 'application/vnd.github+json' },\n      cache: 'no-store',\n      credentials: 'omit'\n    });\n    if (response.status === 404) {\n      const next = { ...DEFAULTS.updateInfo, currentVersion, checkedAt: Date.now(), error: '仓库暂未发布正式 Release' };\n      await storage.set({ updateInfo: next });\n      return next;\n    }\n    if (!response.ok) throw new Error(`GitHub Release HTTP ${response.status}`);\n    const next = normalizeRelease(await response.json(), currentVersion);\n    const wasAvailable = Boolean(updateInfo.available && updateInfo.latestVersion === next.latestVersion);\n    await storage.set({ updateInfo: next });\n    if (next.available && !wasAvailable) {\n      chrome.notifications.create(`jobclaw-update-${next.latestVersion}`, {\n        type: 'basic',\n        iconUrl: 'icon128.png',\n        title: `JobClaw ${next.latestVersion} 可更新`,\n        message: next.name || '发现新的正式版本'\n      }).catch(() => {});\n    }\n    return next;\n  } catch (error) {\n    const next = { ...updateInfo, currentVersion, checkedAt: Date.now(), error: error.message || '更新检查失败' };\n    await storage.set({ updateInfo: next });\n    return next;\n  }\n}\n\nfunction extractJson(raw) {\n  let text = String(raw || '').trim()\n    .replace(/^```(?:json)?/i, '')\n    .replace(/```$/i, '')\n    .trim();\n  const start = text.indexOf('{');\n  const end = text.lastIndexOf('}');\n  if (start >= 0 && end > start) text = text.slice(start, end + 1);\n  text = text.replace(/,\\s*([}\\]])/g, '$1');\n  return JSON.parse(text);\n}\n\nfunction aiError(code, message, details = {}) {\n  const error = new Error(message);\n  error.code = code;\n  Object.assign(error, details);\n  return error;\n}\n\nfunction aiFailureKind(error) {\n  const code = String(error?.code || '');\n  const message = String(error?.message || '');\n  if (code === 'AI_CONFIG' || /API Key|未配置|401|unauthorized/i.test(message)) return 'config-missing';\n  if (['AI_NETWORK', 'AI_HTTP', 'AI_TIMEOUT'].includes(code) || /HTTP|fetch|网络|超时|服务不可用/i.test(message)) return 'service-error';\n  return 'output-invalid';\n}\n\nfunction isRetryableAiOutputError(error) {\n  return ['AI_TRUNCATED', 'AI_EMPTY', 'AI_INVALID_JSON', 'AI_PROFILE_INCOMPLETE'].includes(String(error?.code || ''));\n}\n\nasync function requestModel(url, payload, apiKey, timeoutMs = 90000) {\n  const controller = new AbortController();\n  const timer = setTimeout(() => controller.abort(), timeoutMs);\n  try {\n    return await fetch(url, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${apiKey}`\n      },\n      body: JSON.stringify(payload),\n      signal: controller.signal\n    });\n  } catch (error) {\n    if (error?.name === 'AbortError') throw aiError('AI_TIMEOUT', 'AI 请求超时');\n    throw aiError('AI_NETWORK', `AI 网络请求失败：${error?.message || '连接异常'}`);\n  } finally {\n    clearTimeout(timer);\n  }\n}\n\nasync function callModel(messages, jsonMode = true, options = {}) {\n  const { config } = await storage.get('config');\n  const model = config?.model || {};\n  if (!model.apiKey) throw aiError('AI_CONFIG', '请先在设置页填写 AI API Key');\n  const url = `${String(model.baseUrl || 'https://api.deepseek.com').replace(/\\/$/, '')}/chat/completions`;\n  const payload = {\n    model: model.model || 'deepseek-v4-pro',\n    messages,\n    temperature: Number(options.temperature ?? model.temperature ?? 0.1),\n    max_tokens: Number(options.maxTokens ?? 2800)\n  };\n  if (jsonMode) payload.response_format = { type: 'json_object' };\n\n  let response = await requestModel(url, payload, model.apiKey, Number(options.timeoutMs || 90000));\n  let bodyText = await response.text();\n\n  // 某些兼容网关不支持 response_format，但仍能正常返回 JSON 文本。\n  if (!response.ok && jsonMode && [400, 404, 422].includes(response.status) && /response[_ -]?format|json_object|unsupported/i.test(bodyText)) {\n    const retryPayload = { ...payload };\n    delete retryPayload.response_format;\n    response = await requestModel(url, retryPayload, model.apiKey, Number(options.timeoutMs || 90000));\n    bodyText = await response.text();\n  }\n\n  if (!response.ok) {\n    throw aiError('AI_HTTP', `AI 请求失败 HTTP ${response.status}: ${bodyText.substring(0, 500)}`, { status: response.status });\n  }\n\n  let result;\n  try {\n    result = JSON.parse(bodyText);\n  } catch {\n    throw aiError('AI_INVALID_RESPONSE', 'AI 接口返回了无法识别的响应');\n  }\n  const choice = result.choices?.[0];\n  const content = String(choice?.message?.content || '').trim();\n  if (!content) throw aiError('AI_EMPTY', 'AI 返回为空');\n  if (choice.finish_reason === 'length') {\n    throw aiError('AI_TRUNCATED', 'AI 输出被截断', { finishReason: choice.finish_reason, partial: content });\n  }\n  if (!jsonMode) return content;\n  try {\n    return extractJson(content);\n  } catch (error) {\n    throw aiError('AI_INVALID_JSON', `AI 返回 JSON 不完整：${error?.message || '解析失败'}`, { partial: content });\n  }\n}\n\nfunction cleanResumeText(value) {\n  return String(value || '')\n    .replace(/\\r/g, '\\n')\n    .replace(/[\\u0000-\\u0008\\u000B\\u000C\\u000E-\\u001F]/g, ' ')\n    .replace(/[ \\t]+/g, ' ')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .trim();\n}\n\nfunction lineMatches(text, pattern, limit = 6) {\n  return uniq(cleanResumeText(text)\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length >= 4 && line.length <= 180 && pattern.test(line)))\n    .slice(0, limit);\n}\n\nfunction extractSkills(text) {\n  const source = cleanResumeText(text);\n  const catalog = [\n    ['JavaScript', /\\bjavascript\\b|\\bjs\\b/i],\n    ['TypeScript', /\\btypescript\\b|\\bts\\b/i],\n    ['HTML', /\\bhtml5?\\b/i],\n    ['CSS', /\\bcss3?\\b|sass|less/i],\n    ['Vue', /\\bvue(?:\\.js|3|2)?\\b/i],\n    ['React', /\\breact(?:\\.js)?\\b/i],\n    ['Next.js', /\\bnext\\.?js\\b/i],\n    ['Node.js', /\\bnode\\.?js\\b/i],\n    ['Express', /\\bexpress\\b/i],\n    ['Vite', /\\bvite\\b/i],\n    ['Webpack', /\\bwebpack\\b/i],\n    ['Tailwind CSS', /\\btailwind\\b/i],\n    ['ECharts', /\\becharts\\b/i],\n    ['D3.js', /\\bd3(?:\\.js)?\\b/i],\n    ['Tauri', /\\btauri\\b/i],\n    ['Electron', /\\belectron\\b/i],\n    ['Chrome Extension', /chrome\\s*(?:extension|扩展)|浏览器扩展/i],\n    ['Python', /\\bpython\\b/i],\n    ['Java', /\\bjava\\b/i],\n    ['C/C++', /\\bc\\+\\+\\b|\\bc语言\\b/i],\n    ['Go', /\\bgolang\\b|\\bgo语言\\b/i],\n    ['SQL', /\\bsql\\b/i],\n    ['MySQL', /\\bmysql\\b/i],\n    ['PostgreSQL', /\\bpostgres(?:ql)?\\b/i],\n    ['Redis', /\\bredis\\b/i],\n    ['Spring Boot', /spring\\s*boot/i],\n    ['Flask', /\\bflask\\b/i],\n    ['Django', /\\bdjango\\b/i],\n    ['FastAPI', /\\bfastapi\\b/i],\n    ['Git', /\\bgit\\b|github/i],\n    ['Docker', /\\bdocker\\b/i],\n    ['Linux', /\\blinux\\b/i],\n    ['Playwright', /\\bplaywright\\b/i],\n    ['Selenium', /\\bselenium\\b/i],\n    ['PyTorch', /\\bpytorch\\b/i],\n    ['TensorFlow', /\\btensorflow\\b/i],\n    ['OpenCV', /\\bopencv\\b/i],\n    ['RAG', /\\brag\\b|检索增强生成/i],\n    ['LLM', /\\bllm\\b|大语言模型|语言模型/i],\n    ['AI Agent', /ai\\s*agent|智能体/i],\n    ['OCR', /\\bocr\\b|文字识别/i],\n    ['数据可视化', /数据可视化|可视化看板/i]\n  ];\n  return catalog.filter(([, pattern]) => pattern.test(source)).map(([name]) => name).slice(0, 40);\n}\n\nfunction extractDegree(text) {\n  const source = cleanResumeText(text);\n  if (/博士|ph\\.?d/i.test(source)) return '博士';\n  if (/硕士|研究生|master/i.test(source)) return '硕士';\n  if (/本科|学士|bachelor/i.test(source)) return '本科';\n  if (/大专|专科|associate/i.test(source)) return '大专';\n  return '不限';\n}\n\nfunction extractLocations(text) {\n  const source = cleanResumeText(text);\n  const cities = ['北京','上海','广州','深圳','杭州','成都','西安','南京','武汉','苏州','重庆','天津','长沙','郑州','青岛','厦门','合肥','济南','宁波','东莞','珠海','佛山','无锡','兰州','太原','南阳','东京','大阪'];\n  return cities.filter(city => source.includes(city)).slice(0, 6);\n}\n\nfunction extractExplicitDirections(text) {\n  const source = cleanResumeText(text);\n  const matches = [];\n  const pattern = /(?:求职意向|求职方向|目标岗位|意向岗位|应聘岗位|期望职位)\\s*[:：]?\\s*([^\\n]{2,100})/ig;\n  let match;\n  while ((match = pattern.exec(source)) && matches.length < 3) {\n    matches.push(...String(match[1] || '').split(/[，,、/|]/).map(item => item.trim()).filter(item => item.length >= 2 && item.length <= 28));\n  }\n  return uniq(matches).slice(0, 3);\n}\n\nfunction inferDirections(text, skills) {\n  const source = cleanResumeText(text);\n  const explicit = extractExplicitDirections(source);\n  if (explicit.length) return explicit;\n  const directions = [];\n  const has = name => skills.includes(name);\n  const internship = /实习|在校|应届|校招/i.test(source);\n  if (/前端|web前端|网页开发/i.test(source) || ['JavaScript','TypeScript','Vue','React','HTML','CSS'].some(has)) {\n    directions.push(internship ? '前端开发实习生' : '前端开发工程师');\n  }\n  if (/全栈/i.test(source) || ((has('React') || has('Vue')) && (has('Node.js') || has('Java') || has('Python')))) {\n    directions.push(internship ? '全栈开发实习生' : '全栈开发工程师');\n  }\n  if (/ai应用|人工智能应用|智能体|rag|大模型|llm/i.test(source) || ['RAG','LLM','AI Agent'].some(has)) {\n    directions.push(internship ? 'AI 应用开发实习生' : 'AI 应用开发工程师');\n  }\n  if (/数据可视化|echarts|d3/i.test(source) || has('数据可视化') || has('ECharts') || has('D3.js')) {\n    directions.push('数据可视化开发工程师');\n  }\n  if (/后端|服务端/i.test(source) || ['Spring Boot','Java','Node.js','Python','Go'].filter(has).length >= 2) {\n    directions.push(internship ? '后端开发实习生' : '后端开发工程师');\n  }\n  if (!directions.length) directions.push(internship ? '软件开发实习生' : '软件开发工程师');\n  return uniq(directions).slice(0, 3);\n}\n\nfunction buildSearchKeywords(directions, skills) {\n  const keywords = [...directions];\n  const joined = directions.join(' ');\n  if (/前端/.test(joined)) {\n    keywords.push('前端开发', 'Web 前端', 'JavaScript 开发');\n    if (skills.includes('React')) keywords.push('React 开发');\n    if (skills.includes('Vue')) keywords.push('Vue 开发');\n    if (skills.includes('TypeScript')) keywords.push('TypeScript 前端');\n  }\n  if (/全栈/.test(joined)) keywords.push('全栈开发', 'Web 全栈');\n  if (/AI 应用/.test(joined)) {\n    keywords.push('AI 应用开发');\n    if (skills.includes('RAG')) keywords.push('RAG 应用开发');\n    if (skills.includes('AI Agent')) keywords.push('AI Agent 开发');\n  }\n  if (/数据可视化/.test(joined)) keywords.push('数据可视化', '可视化前端');\n  if (/后端/.test(joined)) keywords.push('后端开发', '服务端开发');\n  return uniq(keywords).slice(0, 12);\n}\n\nfunction explainProfileFallbackReason(reason = '', kind = '') {\n  const message = String(reason || '').trim();\n  const resolvedKind = kind || aiFailureKind({ message });\n  if (!message) return '';\n  if (resolvedKind === 'config-missing') {\n    return 'AI 尚未配置；本次未调用 AI，当前初稿全部来自本地规则。';\n  }\n  if (resolvedKind === 'service-error') {\n    return 'AI 请求没有成功；本次画像未使用 AI，当前初稿全部来自本地规则。';\n  }\n  return 'AI 连接可用，但返回内容未通过完整性校验；系统已自动精简重试，仍未成功，因此本次初稿全部来自本地规则。';\n}\n\nfunction validateGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  const directions = normalizeStringList(profile.primaryDirections, 3);\n  const keywords = normalizeStringList(profile.searchKeywords, 12);\n  const summary = String(profile.summary || '').trim();\n  if (!directions.length || !keywords.length || summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.facts || typeof profile.facts !== 'object' || Array.isArray(profile.facts)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.hardConstraints || typeof profile.hardConstraints !== 'object' || Array.isArray(profile.hardConstraints)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  return profile;\n}\n\nfunction validateCompactGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  const normalized = {\n    summary: String(profile.summary || '').trim(),\n    primaryDirections: normalizeStringList(profile.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile.searchKeywords, 12),\n    skills: normalizeStringList(profile.skills, 30),\n    locations: normalizeStringList(profile.locations, 20),\n    employmentTypes: normalizeStringList(profile.employmentTypes, 10),\n    salary: String(profile.salary || '').trim(),\n    experience: String(profile.experience || '').trim(),\n    degree: String(profile.degree || '').trim(),\n    excludeDirections: normalizeStringList(profile.excludeDirections, 20)\n  };\n  if (!normalized.primaryDirections.length || !normalized.searchKeywords.length || normalized.summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  return normalized;\n}\n\nfunction buildLocalProfile(resumeText, reason = '', failureKind = '') {\n  const text = cleanResumeText(resumeText);\n  if (text.length < 30) throw new Error('简历内容太少，暂时无法生成职业画像');\n  const skills = extractSkills(text);\n  const primaryDirections = inferDirections(text, skills);\n  const searchKeywords = buildSearchKeywords(primaryDirections, skills);\n  const degree = extractDegree(text);\n  const locations = extractLocations(text);\n  const internship = /实习|在校|应届|校招/i.test(text);\n  const employmentTypes = internship ? ['实习', '校招'] : ['全职'];\n  const experience = internship ? '在校/应届' : '按岗位要求匹配';\n  const topSkills = skills.slice(0, 7);\n  const summaryParts = [];\n  if (degree !== '不限') summaryParts.push(`${degree}${internship ? '在读或应届' : '背景'}`);\n  if (topSkills.length) summaryParts.push(`具备 ${topSkills.join('、')} 等技能或项目经验`);\n  summaryParts.push(`主要关注 ${primaryDirections.join('、')} 方向`);\n\n  const education = lineMatches(text, /大学|学院|本科|硕士|博士|教育经历|专业/i, 6);\n  const experiences = lineMatches(text, /实习|工作经历|公司|负责|任职|助理|工程师/i, 8);\n  const projects = lineMatches(text, /项目|系统|平台|工作台|GitHub|开发|实现|搭建|设计/i, 10);\n  const certificates = lineMatches(text, /证书|CET|英语六级|英语四级|资格|获奖|奖项/i, 6);\n  const resolvedKind = failureKind || (reason ? aiFailureKind({ message: reason }) : 'not-requested');\n\n  return normalizeProfile({\n    facts: { education, experiences, projects, skills, certificates },\n    primaryDirections: primaryDirections.map(name => ({ name, confidence: 0.72, evidence: ['根据简历中的技能、项目和求职阶段生成'] })),\n    secondaryDirections: [],\n    searchKeywords,\n    hardConstraints: {\n      locations,\n      employmentTypes,\n      salary: '不限',\n      experience,\n      degree\n    },\n    excludeDirections: [],\n    summary: `${summaryParts.join('，')}。`,\n    generation: {\n      mode: 'local-fallback',\n      label: '本地规则初稿',\n      aiStatus: resolvedKind,\n      warning: explainProfileFallbackReason(reason, resolvedKind),\n      technicalReason: String(reason || ''),\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction mergeProfileWithFallback(aiProfile, fallbackProfile, generation = null) {\n  const ai = aiProfile && typeof aiProfile === 'object' ? aiProfile : {};\n  const aiFacts = ai.facts && typeof ai.facts === 'object' ? ai.facts : {};\n  const fallbackFacts = fallbackProfile.facts || {};\n  const hard = ai.hardConstraints && typeof ai.hardConstraints === 'object' ? ai.hardConstraints : {};\n  const fallbackHard = fallbackProfile.hardConstraints || {};\n  return normalizeProfile({\n    ...fallbackProfile,\n    ...ai,\n    facts: {\n      ...fallbackFacts,\n      ...aiFacts,\n      education: Array.isArray(aiFacts.education) && aiFacts.education.length ? aiFacts.education : fallbackFacts.education,\n      experiences: Array.isArray(aiFacts.experiences) && aiFacts.experiences.length ? aiFacts.experiences : fallbackFacts.experiences,\n      projects: Array.isArray(aiFacts.projects) && aiFacts.projects.length ? aiFacts.projects : fallbackFacts.projects,\n      skills: normalizeStringList(aiFacts.skills).length ? aiFacts.skills : fallbackFacts.skills,\n      certificates: Array.isArray(aiFacts.certificates) && aiFacts.certificates.length ? aiFacts.certificates : fallbackFacts.certificates\n    },\n    primaryDirections: normalizeStringList(ai.primaryDirections, 3).length ? ai.primaryDirections : fallbackProfile.primaryDirections,\n    searchKeywords: normalizeStringList(ai.searchKeywords, 12).length ? ai.searchKeywords : fallbackProfile.searchKeywords,\n    hardConstraints: {\n      ...fallbackHard,\n      ...hard,\n      locations: normalizeStringList(hard.locations).length ? hard.locations : fallbackHard.locations,\n      employmentTypes: normalizeStringList(hard.employmentTypes).length ? hard.employmentTypes : fallbackHard.employmentTypes,\n      salary: String(hard.salary || fallbackHard.salary || '不限'),\n      experience: String(hard.experience || fallbackHard.experience || ''),\n      degree: String(hard.degree || fallbackHard.degree || '不限')\n    },\n    summary: String(ai.summary || fallbackProfile.summary),\n    generation: generation || {\n      mode: 'ai-assisted',\n      label: 'AI 完整画像',\n      aiStatus: 'success',\n      warning: 'AI 返回的完整 JSON 已通过校验；仅对可选空字段使用本地规则补齐。',\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction compactProfileToFull(compact, fallback) {\n  return {\n    facts: {\n      ...(fallback.facts || {}),\n      skills: compact.skills.length ? compact.skills : fallback.facts?.skills || []\n    },\n    primaryDirections: compact.primaryDirections,\n    secondaryDirections: [],\n    searchKeywords: compact.searchKeywords,\n    hardConstraints: {\n      ...(fallback.hardConstraints || {}),\n      locations: compact.locations.length ? compact.locations : fallback.hardConstraints?.locations || [],\n      employmentTypes: compact.employmentTypes.length ? compact.employmentTypes : fallback.hardConstraints?.employmentTypes || [],\n      salary: compact.salary || fallback.hardConstraints?.salary || '不限',\n      experience: compact.experience || fallback.hardConstraints?.experience || '',\n      degree: compact.degree || fallback.hardConstraints?.degree || '不限'\n    },\n    excludeDirections: compact.excludeDirections,\n    summary: compact.summary\n  };\n}\n\nasync function buildProfile(resumeText) {\n  const text = cleanResumeText(resumeText);\n  const fallback = buildLocalProfile(text);\n  const schema = '{\"facts\":{\"education\":[],\"experiences\":[],\"projects\":[],\"skills\":[],\"certificates\":[]},\"primaryDirections\":[{\"name\":\"\",\"confidence\":0,\"evidence\":[]}],\"secondaryDirections\":[],\"searchKeywords\":[],\"hardConstraints\":{\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\"},\"excludeDirections\":[],\"summary\":\"\"}';\n  let firstError = null;\n  try {\n    const profile = validateGeneratedProfile(await callModel([\n      {\n        role: 'system',\n        content: `你是严格的职业画像分析器。只能使用简历真实事实，不能根据项目业务场景推断用户职业。主方向最多3个，搜索词必须是真实岗位名称。数组必须精简，教育/经历/项目各最多4条，每条不超过80字，技能最多15个，摘要不超过180字。即使信息不完整，也必须给出可编辑初稿，禁止返回空内容。输出严格 JSON：${schema}`\n      },\n      { role: 'user', content: text.slice(0, 22000) }\n    ], true, { maxTokens: 4200, temperature: 0.05 }));\n    return mergeProfileWithFallback(profile, fallback);\n  } catch (error) {\n    firstError = error;\n  }\n\n  // 连接正常但完整画像输出过长、JSON 不完整或字段校验失败时，自动改用精简结构重试。\n  if (isRetryableAiOutputError(firstError)) {\n    const compactSchema = '{\"summary\":\"\",\"primaryDirections\":[],\"searchKeywords\":[],\"skills\":[],\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\",\"excludeDirections\":[]}';\n    try {\n      const compact = validateCompactGeneratedProfile(await callModel([\n        {\n          role: 'system',\n          content: `你是求职职业画像分析器。只使用简历事实。请输出极简 JSON，不要解释，不要证据长句。摘要120字以内；主方向最多3个；搜索词最多10个；技能最多12个；其余字段简短。输出结构：${compactSchema}`\n        },\n        { role: 'user', content: text.slice(0, 18000) }\n      ], true, { maxTokens: 2200, temperature: 0.05 }));\n      return mergeProfileWithFallback(compactProfileToFull(compact, fallback), fallback, {\n        mode: 'ai-compact-retry',\n        label: 'AI 精简重试结果',\n        aiStatus: 'success-after-retry',\n        warning: 'AI 连接正常。首次完整画像输出未完成，系统已自动精简重试并成功采用 AI 结果。',\n        technicalReason: String(firstError?.message || ''),\n        generatedAt: Date.now()\n      });\n    } catch (retryError) {\n      const combined = `${firstError?.message || 'AI 首次输出未通过'}；精简重试：${retryError?.message || '失败'}`;\n      return buildLocalProfile(text, combined, aiFailureKind(firstError));\n    }\n  }\n\n  return buildLocalProfile(text, firstError?.message || 'AI 生成失败', aiFailureKind(firstError));\n}\n\n\nfunction normalizeStringList(value, limit = 30) {\n  const values = Array.isArray(value) ? value : String(value || '').split(/[，,\\n]/);\n  return uniq(values.map(item => typeof item === 'string' ? item.trim() : String(item?.name || item?.title || '').trim()))\n    .filter(Boolean)\n    .slice(0, limit);\n}\n\nfunction normalizeDirections(value, existing = []) {\n  const previous = new Map((Array.isArray(existing) ? existing : []).map(item => {\n    const name = typeof item === 'string' ? item : item?.name;\n    return [String(name || '').trim(), item];\n  }));\n  return normalizeStringList(value, 3).map(name => {\n    const old = previous.get(name);\n    if (old && typeof old === 'object') return { ...old, name };\n    return { name, confidence: 1, evidence: ['用户手动编辑'] };\n  });\n}\n\nfunction normalizeProfile(incoming, current = null) {\n  const base = current && typeof current === 'object' ? current : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const profile = {\n    ...base,\n    ...next,\n    facts: {\n      education: [], experiences: [], projects: [], skills: [], certificates: [],\n      ...(base.facts || {}),\n      ...(next.facts || {}),\n      skills: normalizeStringList(next.facts?.skills ?? base.facts?.skills, 40)\n    },\n    primaryDirections: normalizeDirections(next.primaryDirections ?? base.primaryDirections, base.primaryDirections),\n    secondaryDirections: normalizeStringList(next.secondaryDirections ?? base.secondaryDirections, 10),\n    searchKeywords: normalizeStringList(next.searchKeywords ?? base.searchKeywords, 12),\n    excludeDirections: normalizeStringList(next.excludeDirections ?? base.excludeDirections, 20),\n    hardConstraints: {\n      locations: [], employmentTypes: [], salary: '', experience: '', degree: '',\n      ...(base.hardConstraints || {}),\n      ...(next.hardConstraints || {})\n    },\n    summary: String(next.summary ?? base.summary ?? '').trim(),\n    editedAt: Date.now()\n  };\n  profile.hardConstraints.locations = normalizeStringList(profile.hardConstraints.locations, 20);\n  profile.hardConstraints.employmentTypes = normalizeStringList(profile.hardConstraints.employmentTypes, 10);\n  profile.hardConstraints.salary = String(profile.hardConstraints.salary || '').trim();\n  profile.hardConstraints.experience = String(profile.hardConstraints.experience || '').trim();\n  profile.hardConstraints.degree = String(profile.hardConstraints.degree || '').trim();\n  if (!profile.primaryDirections.length) throw new Error('职业画像至少需要一个主方向');\n  if (!profile.searchKeywords.length) throw new Error('职业画像至少需要一个岗位搜索词');\n  return profile;\n}\n\n\nfunction profileHasCore(profile) {\n  return Boolean(\n    normalizeStringList(profile?.primaryDirections, 3).length &&\n    normalizeStringList(profile?.searchKeywords, 12).length\n  );\n}\n\nfunction normalizeProfileDraft(incoming, fallback = null) {\n  const base = fallback && typeof fallback === 'object' ? fallback : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const chooseList = (key, limit = 30) => Object.prototype.hasOwnProperty.call(next, key)\n    ? normalizeStringList(next[key], limit)\n    : normalizeStringList(base[key], limit);\n  const chooseText = key => Object.prototype.hasOwnProperty.call(next, key)\n    ? String(next[key] || '').trim()\n    : String(base[key] || '').trim();\n  return {\n    summary: chooseText('summary'),\n    primaryDirections: chooseList('primaryDirections', 3),\n    searchKeywords: chooseList('searchKeywords', 12),\n    skills: chooseList('skills', 40),\n    locations: chooseList('locations', 20),\n    employmentTypes: chooseList('employmentTypes', 10),\n    experience: chooseText('experience'),\n    degree: chooseText('degree'),\n    salary: chooseText('salary'),\n    excludeDirections: chooseList('excludeDirections', 20),\n    source: String(next.source || base.source || 'draft'),\n    updatedAt: Number(next.updatedAt || Date.now())\n  };\n}\n\nfunction profileDraftHasCore(draft) {\n  return Boolean(\n    normalizeStringList(draft?.primaryDirections, 3).length &&\n    normalizeStringList(draft?.searchKeywords, 12).length\n  );\n}\n\nfunction profileDraftHasAny(draft) {\n  if (!draft || typeof draft !== 'object') return false;\n  return Boolean(\n    String(draft.summary || '').trim() ||\n    normalizeStringList(draft.primaryDirections).length ||\n    normalizeStringList(draft.searchKeywords).length ||\n    normalizeStringList(draft.skills).length ||\n    normalizeStringList(draft.locations).length ||\n    normalizeStringList(draft.employmentTypes).length ||\n    String(draft.experience || '').trim() ||\n    String(draft.degree || '').trim() ||\n    String(draft.salary || '').trim() ||\n    normalizeStringList(draft.excludeDirections).length\n  );\n}\n\nfunction profileToDraft(profile, source = 'generated') {\n  const hard = profile?.hardConstraints || {};\n  return normalizeProfileDraft({\n    summary: profile?.summary || '',\n    primaryDirections: normalizeStringList(profile?.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile?.searchKeywords, 12),\n    skills: normalizeStringList(profile?.facts?.skills, 40),\n    locations: normalizeStringList(hard.locations, 20),\n    employmentTypes: normalizeStringList(hard.employmentTypes, 10),\n    experience: hard.experience || '',\n    degree: hard.degree || '',\n    salary: hard.salary || '',\n    excludeDirections: normalizeStringList(profile?.excludeDirections, 20),\n    source,\n    updatedAt: Date.now()\n  });\n}\n\nfunction profileFromDraft(draft, currentProfile = null) {\n  const normalized = normalizeProfileDraft(draft);\n  return normalizeProfile({\n    ...(currentProfile || {}),\n    summary: normalized.summary,\n    primaryDirections: normalized.primaryDirections,\n    searchKeywords: normalized.searchKeywords,\n    excludeDirections: normalized.excludeDirections,\n    facts: {\n      ...(currentProfile?.facts || {}),\n      skills: normalized.skills\n    },\n    hardConstraints: {\n      ...(currentProfile?.hardConstraints || {}),\n      locations: normalized.locations,\n      employmentTypes: normalized.employmentTypes,\n      experience: normalized.experience,\n      degree: normalized.degree,\n      salary: normalized.salary\n    }\n  }, currentProfile);\n}\n\n\nfunction clampNumber(value, min, max, fallback = min) {\n  const number = Number(value);\n  return Number.isFinite(number) ? Math.max(min, Math.min(max, number)) : fallback;\n}\n\nfunction normalizeDirectionKey(value) {\n  return String(value || '')\n    .toLowerCase()\n    .replace(/实习生|工程师|开发|岗位|职位|校招|社招|应届/g, '')\n    .replace(/[\\s,，/\\\\|·•()（）【】\\[\\]_-]+/g, '')\n    .trim();\n}\n\nfunction stableDirectionId(name, source = 'profile') {\n  const input = `${source}:${normalizeDirectionKey(name) || String(name || '').trim().toLowerCase()}`;\n  let hash = 2166136261;\n  for (let index = 0; index < input.length; index += 1) {\n    hash ^= input.charCodeAt(index);\n    hash = Math.imul(hash, 16777619);\n  }\n  return `direction_${(hash >>> 0).toString(36)}`;\n}\n\nconst DIRECTION_PRESETS = [\n  {\n    test: /前端|web|react|vue|javascript|typescript/i,\n    keywords: ['前端开发实习生', 'Web前端实习生', 'React开发实习生', 'Vue开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'HTML', 'CSS', 'React', 'Vue', 'Next.js', 'Vite', 'Webpack'],\n    gapSkills: ['工程化', '性能优化', '组件库']\n  },\n  {\n    test: /ai应用|人工智能应用|大模型|agent|rag|llm/i,\n    keywords: ['AI应用开发实习生', 'AI Agent实习生', 'RAG应用开发实习生', '大模型应用开发实习生'],\n    relevantSkills: ['AI Agent', 'RAG', 'Python', 'TypeScript', 'React', 'Node.js', 'OCR'],\n    gapSkills: ['Python', '模型评测', '向量数据库']\n  },\n  {\n    test: /全栈|full.?stack|前后端/i,\n    keywords: ['全栈开发实习生', 'Web全栈实习生', '前后端开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'React', 'Vue', 'Node.js', 'Express', 'MySQL'],\n    gapSkills: ['后端接口', '数据库', '部署运维']\n  },\n  {\n    test: /开发者工具|研发工具|桌面端|tauri|electron|工具开发/i,\n    keywords: ['开发者工具实习生', '研发工具开发实习生', '桌面端开发实习生', '平台工具开发实习生'],\n    relevantSkills: ['Tauri', 'Electron', 'TypeScript', 'React', 'Rust', 'Node.js', 'OCR'],\n    gapSkills: ['跨平台工程化', '桌面端发布', '系统 API']\n  },\n  {\n    test: /数据可视化|可视化|echarts|大屏/i,\n    keywords: ['数据可视化实习生', '前端可视化实习生', 'ECharts开发实习生'],\n    relevantSkills: ['ECharts', 'JavaScript', 'TypeScript', 'React', 'Vue', '数据处理'],\n    gapSkills: ['图形性能优化', '复杂交互', '可视化工程化']\n  },\n  {\n    test: /后端|java|node|服务端/i,\n    keywords: ['后端开发实习生', 'Node.js开发实习生', 'Java开发实习生'],\n    relevantSkills: ['Java', 'Node.js', 'Express', 'MySQL', 'Redis', 'Spring'],\n    gapSkills: ['数据库', '缓存', '接口设计']\n  }\n];\n\nfunction directionPreset(name) {\n  return DIRECTION_PRESETS.find(item => item.test.test(String(name || ''))) || null;\n}\n\nfunction normalizedSkillSet(profile = {}) {\n  return new Map(normalizeStringList(profile?.facts?.skills, 50).map(skill => [normalizeDirectionKey(skill), skill]));\n}\n\nfunction buildDirectionKeywords(name, profile = {}) {\n  const allKeywords = normalizeStringList(profile?.searchKeywords, 30);\n  const nameKey = normalizeDirectionKey(name);\n  const preset = directionPreset(name);\n  const matching = allKeywords.filter(keyword => {\n    const key = normalizeDirectionKey(keyword);\n    return key && (nameKey.includes(key) || key.includes(nameKey) || [...nameKey].filter(char => key.includes(char)).length >= Math.min(3, nameKey.length));\n  });\n  return uniq([name, ...matching, ...(preset?.keywords || [])]).filter(Boolean).slice(0, 8);\n}\n\nfunction buildDirectionEvidence(name, candidate = {}, profile = {}) {\n  const skills = normalizeStringList(profile?.facts?.skills, 30);\n  const skillMap = normalizedSkillSet(profile);\n  const preset = directionPreset(name);\n  const relevant = (preset?.relevantSkills || skills).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return skillMap.has(key) || skills.some(current => normalizeDirectionKey(current).includes(key) || key.includes(normalizeDirectionKey(current)));\n  });\n  const matchedSkills = uniq(relevant.length ? relevant : skills.slice(0, 4)).slice(0, 5);\n  const gaps = (preset?.gapSkills || []).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return ![...skillMap.keys()].some(existing => existing.includes(key) || key.includes(existing));\n  }).slice(0, 3);\n  const evidence = normalizeStringList(candidate?.evidence, 3);\n  const reason = evidence.length\n    ? `职业画像中已提取到：${evidence.join('；')}`.slice(0, 160)\n    : matchedSkills.length\n      ? `与简历中的 ${matchedSkills.join('、')} 技能和项目经历匹配。`\n      : `该方向来自职业画像中的主要求职方向，可继续人工调整。`;\n  return { matchedSkills, gaps, reason };\n}\n\nfunction normalizeDirectionItem(item = {}, index = 0) {\n  const name = String(item.name || item.title || '').trim().slice(0, 60);\n  const source = item.source === 'custom' || item.custom ? 'custom' : 'profile';\n  const id = String(item.id || stableDirectionId(name || `custom-${index}`, source));\n  return {\n    id,\n    source,\n    custom: source === 'custom',\n    sourceName: String(item.sourceName || name).trim().slice(0, 60),\n    name,\n    enabled: item.enabled !== false,\n    priority: Math.round(clampNumber(item.priority, 1, 99, index + 1)),\n    score: Math.round(clampNumber(item.score, 0, 100, source === 'custom' ? 70 : Math.max(60, 88 - index * 7))),\n    reason: String(item.reason || (source === 'custom' ? '用户自定义岗位方向。' : '根据职业画像推荐。')).trim().slice(0, 240),\n    matchedSkills: normalizeStringList(item.matchedSkills, 8),\n    gaps: normalizeStringList(item.gaps, 6),\n    keywords: uniq(normalizeStringList(item.keywords, 12).length ? normalizeStringList(item.keywords, 12) : [name]).slice(0, 12),\n    updatedAt: Number(item.updatedAt || Date.now())\n  };\n}\n\nfunction profileDirectionSignature(profile = {}) {\n  return JSON.stringify({\n    directions: normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 6).map(normalizeDirectionKey),\n    keywords: normalizeStringList(profile?.searchKeywords, 20).map(normalizeDirectionKey)\n  });\n}\n\nfunction normalizeDirectionPlan(plan, profile = null, options = {}) {\n  const items = (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score)\n    .slice(0, 12)\n    .map((item, index) => ({ ...item, priority: index + 1 }));\n  return {\n    version: 1,\n    items,\n    confirmed: options.confirmed ?? Boolean(plan?.confirmed),\n    updatedAt: Number(options.updatedAt || plan?.updatedAt || Date.now()),\n    appliedAt: Number(options.appliedAt || plan?.appliedAt || 0),\n    profileSignature: String(options.profileSignature || plan?.profileSignature || profileDirectionSignature(profile)).slice(0, 600)\n  };\n}\n\nfunction buildDirectionPlan(profile = {}, currentPlan = null, options = {}) {\n  const primary = Array.isArray(profile?.primaryDirections) ? profile.primaryDirections : [];\n  const secondary = Array.isArray(profile?.secondaryDirections) ? profile.secondaryDirections : [];\n  const searchKeywords = normalizeStringList(profile?.searchKeywords, 20);\n  const candidates = [];\n  for (const item of [...primary, ...secondary]) {\n    const name = String(typeof item === 'string' ? item : item?.name || '').trim();\n    if (!name || candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(name))) continue;\n    candidates.push({ name, raw: typeof item === 'object' ? item : {} });\n  }\n  for (const keyword of searchKeywords) {\n    if (candidates.length >= 6) break;\n    if (!/开发|工程师|实习生|前端|后端|全栈|AI|人工智能|工具|可视化/i.test(keyword)) continue;\n    if (candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(keyword))) continue;\n    candidates.push({ name: keyword, raw: {} });\n  }\n  if (!candidates.length) candidates.push({ name: '目标岗位', raw: {} });\n\n  const existing = new Map((currentPlan?.items || []).map(item => [String(item.id || ''), item]));\n  const generated = candidates.slice(0, 6).map((candidate, index) => {\n    const id = stableDirectionId(candidate.name, 'profile');\n    const previous = existing.get(id);\n    const confidence = Number(candidate.raw?.confidence);\n    const score = Number.isFinite(confidence)\n      ? Math.round(confidence <= 1 ? confidence * 100 : confidence)\n      : Math.max(62, 90 - index * 7);\n    const evidence = buildDirectionEvidence(candidate.name, candidate.raw, profile);\n    return normalizeDirectionItem({\n      id,\n      source: 'profile',\n      sourceName: candidate.name,\n      name: options.preserveEdits && previous?.name ? previous.name : candidate.name,\n      enabled: options.preserveSelections && previous ? previous.enabled : index < 3,\n      priority: previous?.priority || index + 1,\n      score,\n      reason: evidence.reason,\n      matchedSkills: evidence.matchedSkills,\n      gaps: evidence.gaps,\n      keywords: options.preserveEdits && previous?.keywords?.length\n        ? previous.keywords\n        : buildDirectionKeywords(candidate.name, profile)\n    }, index);\n  });\n  const custom = options.preserveCustom === false ? [] : (currentPlan?.items || [])\n    .filter(item => item?.source === 'custom' || item?.custom)\n    .map((item, index) => normalizeDirectionItem(item, generated.length + index));\n  return normalizeDirectionPlan({\n    items: [...generated, ...custom],\n    confirmed: options.confirmed ?? false,\n    updatedAt: Date.now(),\n    appliedAt: options.confirmed ? Date.now() : Number(currentPlan?.appliedAt || 0)\n  }, profile, { confirmed: options.confirmed ?? false, updatedAt: Date.now() });\n}\n\nfunction selectedDirectionItems(plan = {}) {\n  return (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.enabled && item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score);\n}\n\nfunction fallbackApplicantGreeting(job, profile) {\n  const title = String(job?.title || '该岗位').trim();\n  const skills = normalizeStringList(profile?.facts?.skills, 4);\n  const direction = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 2);\n  const evidence = skills.length ? `我的简历中有${skills.slice(0, 3).join('、')}相关项目与实践` : (profile?.summary || direction.join('、'));\n  const target = `贵公司的${title}`;\n  return `您好，我想应聘${target}岗位。${evidence ? `${evidence}，` : ''}对岗位的工作内容很感兴趣。方便的话希望进一步了解岗位和团队，谢谢。`\n    .replace(/。{2,}/g, '。')\n    .slice(0, 140);\n}\n\nfunction normalizeApplicantGreeting(result, job, profile) {\n  const raw = String(result?.greeting || '').trim();\n  const reversed = /看到你的简历|你的简历|很匹配我们|匹配我们|欢迎.*沟通|期待你|候选人|我们团队|我们公司|团队主要涉及|你很匹配|方便的话来聊聊/i.test(raw);\n  const applicantVoice = /我想应聘|我希望应聘|我对.{0,20}(岗位|职位).{0,10}(感兴趣|有兴趣)|想进一步了解|希望进一步沟通/.test(raw);\n  if (!raw || reversed || !applicantVoice) return fallbackApplicantGreeting(job, profile);\n  return raw.slice(0, 160);\n}\n\nfunction fastMassAnalysis(job, profile) {\n  const jobText = [job?.title, job?.description, job?.cardText].filter(Boolean).join('\\n').toLowerCase();\n  const skills = normalizeStringList(profile?.facts?.skills, 20);\n  const directions = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 8);\n  const matchedEvidence = [];\n  for (const skill of skills) {\n    const token = String(skill || '').trim();\n    if (token && jobText.includes(token.toLowerCase())) matchedEvidence.push(token);\n  }\n  const directionMatched = directions.some(item => item && jobText.includes(String(item).toLowerCase()));\n  const score = Math.max(25, Math.min(88, 35 + matchedEvidence.length * 9 + (directionMatched ? 15 : 0)));\n  return {\n    score,\n    decision: matchedEvidence.length || directionMatched ? 'recommend' : 'cautious',\n    hardBlocks: [],\n    strictHardBlocks: [],\n    matchedEvidence: matchedEvidence.slice(0, 8),\n    gaps: [],\n    risks: [],\n    reason: '安全海投快速模式 仅做基础排序 不因技能 年限 专业或学历差距直接拦截',\n    greeting: fallbackApplicantGreeting(job, profile),\n    analysisMode: 'local-mass-fast'\n  };\n}\n\nasync function analyzeJob(job) {\n  const { profile, resumeText, config } = await storage.get(['profile', 'resumeText', 'config']);\n  if (!profile) throw new Error('请先生成职业画像');\n  const massMode = normalizeStrategy(config?.batchStrategy) === 'mass';\n  if (massMode && config?.massApplyAnalysis !== 'ai') return fastMassAnalysis(job, profile);\n  const strategyInstruction = massMode\n    ? '当前为安全海投模式。技能、技术栈、专业、学历偏差、经验年限不足和行业经历缺失通常只能放入gaps，不能直接判定reject。只有JD明确写出必须、仅限、不接受，且与用户真实条件发生不可改变冲突时，才写入hardBlocks。'\n    : '当前为精准投递模式。可以综合匹配度给出recommend、cautious或reject，但技能缺口仍应与真正不可改变的硬性冲突区分。';\n  const result = await callModel([\n    {\n      role: 'system',\n      content: `你是为求职者服务的岗位匹配审查器，不是招聘方。用户是正在应聘岗位的求职者。任何能力、年限、项目和成果都不能超出简历事实。${strategyInstruction} 输出 JSON：{\"score\":0,\"decision\":\"recommend|cautious|reject\",\"hardBlocks\":[],\"matchedEvidence\":[],\"gaps\":[],\"risks\":[],\"reason\":\"\",\"greeting\":\"\"}。greeting 是求职者发给招聘方/HR 的第一人称求职招呼语，50-110字，应使用“您好，我想应聘贵公司的……”口吻。严禁写成招聘方口吻，严禁出现“看到你的简历”“你的经历很匹配我们”“欢迎进一步沟通”“我们团队”“候选人”等表述；不得承诺薪资、到岗、年限或不存在的能力。`\n    },\n    {\n      role: 'user',\n      content: `职业画像：${JSON.stringify(profile)}\n简历：${String(resumeText || '').slice(0, 15000)}\n岗位：${JSON.stringify(job)}`\n    }\n  ]);\n  result.score = Math.max(0, Math.min(100, Number(result.score || 0)));\n  result.greeting = normalizeApplicantGreeting(result, job, profile);\n  result.hardBlocks = Array.isArray(result.hardBlocks) ? result.hardBlocks.map(item => String(item || '').trim()).filter(Boolean) : [];\n  result.strictHardBlocks = strictHardBlocks(result.hardBlocks);\n  if (result.strictHardBlocks.length) result.decision = 'reject';\n  else if (massMode && result.decision === 'reject') result.decision = 'cautious';\n  if (!massMode && result.score < Number(config?.minScore || 75) && result.decision === 'recommend') result.decision = 'cautious';\n  return result;\n}\n\nfunction createTasks(profile, config, directionPlan) {\n  const directions = selectedDirectionItems(directionPlan);\n  const locations = config.targetLocations?.length ? config.targetLocations : [''];\n  const employmentTypes = config.employmentTypes?.length ? config.employmentTypes : ['不限'];\n  const tasks = [];\n  const seen = new Set();\n  for (const direction of directions) {\n    for (const keyword of direction.keywords) {\n      for (const location of locations) {\n        for (const employmentType of employmentTypes) {\n          const dedupeKey = [keyword, location, employmentType].map(value => String(value || '').trim().toLowerCase()).join('|');\n          if (seen.has(dedupeKey)) continue;\n          seen.add(dedupeKey);\n          tasks.push({\n            id: crypto.randomUUID(),\n            directionId: direction.id,\n            directionName: direction.name,\n            directionPriority: direction.priority,\n            directionScore: direction.score,\n            keyword,\n            location,\n            employmentType,\n            experience: config.experiences?.[0] || '',\n            degree: config.degrees?.[0] || '',\n            salary: config.salary || '不限',\n            attempts: 0,\n            status: 'pending',\n            progress: 0,\n            stageLabel: '等待开始',\n            processed: 0,\n            discovered: 0,\n            analyzed: 0,\n            failed: 0,\n            createdAt: Date.now()\n          });\n        }\n      }\n    }\n  }\n  return tasks;\n}\n\n\nasync function dispatchNextAutoPending() {\n  const { pending = [], workflow = {}, config = {} } = await storage.get(['pending', 'workflow', 'config']);\n  if (config.executionMode !== 'auto') return { started: false, reason: 'not-auto' };\n  if (config.dryRun) return { started: false, reason: 'dry-run' };\n  if (workflow.pendingApplyId) return { started: false, reason: 'busy', pendingApplyId: workflow.pendingApplyId };\n  const ranked = rerankPending(pending);\n  const candidate = ranked.find(entry => entry.status === 'approved_queue');\n  if (!candidate) {\n    await storage.set({ pending: ranked });\n    return { started: false, reason: 'empty' };\n  }\n  const next = rerankPending(ranked.map(entry => entry.id === candidate.id\n    ? { ...entry, status: 'approved', approvedAt: entry.approvedAt || Date.now() }\n    : entry));\n  await storage.set({ pending: next });\n  const run = await updateTaskRunByPending(candidate.id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: `优先投递 · 队列第 ${candidate.priorityRank || 1} 位`,\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `${normalizeStrategy(config.batchStrategy) === 'mass' ? '安全海投' : '精准投递'}：${candidate.job?.title || '岗位'}（队列优先级 ${candidate.priorityRank || 1}）`,\n    pendingApplyId: candidate.id,\n    activeRunId: run?.id || candidate.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { started: true, item: candidate, queueDepth: next.filter(entry => entry.status === 'approved_queue').length };\n}\n\nasync function addPending(item) {\n  const { pending = [], config = {} } = await storage.get(['pending', 'config']);\n  let run = null;\n  if (item.runId) {\n    run = await upsertTaskRun({\n      id: item.runId,\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  } else {\n    run = await upsertTaskRun({\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  }\n  const nextItem = {\n    ...item,\n    runId: run.id,\n    id: item.id || crypto.randomUUID(),\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: config.executionMode === 'auto' && !config.dryRun ? 'approved_queue' : 'pending',\n    createdAt: Date.now()\n  };\n  await upsertTaskRun({ id: run.id, pendingId: nextItem.id });\n  const next = rerankPending([nextItem, ...pending.filter(entry => entry.id !== nextItem.id)]);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...(await storage.get('stats')).stats, pending: count } });\n  return next.find(entry => entry.id === nextItem.id) || nextItem;\n}\n\nasync function approvePending(id, greeting = '') {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const item = pending.find(entry => entry.id === id);\n  if (!item) throw new Error('待确认岗位不存在');\n  const lockedGreeting = String(greeting || item.deliveryGreeting || item.analysis?.greeting || '').trim();\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const next = pending.map(entry => entry.id === id ? {\n      ...entry,\n      deliveryGreeting: lockedGreeting,\n      analysis: { ...(entry.analysis || {}), greeting: lockedGreeting },\n      status: 'simulated',\n      completedAt\n    } : entry);\n    await storage.set({\n      pending: next,\n      stats: { ...stats, pending: next.filter(entry => entry.status === 'pending').length, simulated: Number(stats.simulated || 0) + 1 }\n    });\n    await updateTaskRunByPending(id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    await writeEvent('success', '模拟投递已通过 未执行真实发送', { id, job: item.job });\n    return next.find(entry => entry.id === id);\n  }\n  const updatedItem = {\n    ...item,\n    deliveryGreeting: lockedGreeting,\n    analysis: { ...(item.analysis || {}), greeting: lockedGreeting },\n    status: 'approved',\n    approvedAt: Date.now()\n  };\n  const next = pending.map(entry => entry.id === id ? updatedItem : entry);\n  await storage.set({ pending: next });\n  const pendingCount = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...stats, pending: pendingCount } });\n  const run = await updateTaskRunByPending(id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: '等待投递',\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `准备以求职者身份沟通：${item.job?.title || '岗位'}`,\n    pendingApplyId: id,\n    activeRunId: run?.id || item.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  return updatedItem;\n}\n\nasync function approveAllPending() {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const candidates = rerankPending(pending).filter(entry => entry.status === 'pending');\n  if (!candidates.length) return { count: 0 };\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const ids = new Set(candidates.map(entry => entry.id));\n    const next = pending.map(entry => ids.has(entry.id) ? { ...entry, status: 'simulated', completedAt } : entry);\n    await storage.set({ pending: next, stats: { ...stats, pending: 0, simulated: Number(stats.simulated || 0) + candidates.length } });\n    for (const candidate of candidates) {\n      await updateTaskRunByPending(candidate.id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    }\n    await writeEvent('success', `已完成${candidates.length}个岗位的模拟投递 未执行真实发送`);\n    return { count: candidates.length, simulated: true };\n  }\n  const ids = new Set(candidates.map(entry => entry.id));\n  const next = pending.map(entry => ids.has(entry.id)\n    ? { ...entry, status: 'approved_queue', approvedAt: Date.now() }\n    : entry);\n  const first = candidates[0];\n  await storage.set({ pending: next });\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const [index, candidate] of candidates.entries()) {\n    await updateTaskRunByPending(candidate.id, {\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'queued',\n      progress: 64,\n      stageLabel: index === 0 ? '准备投递' : '批量队列等待中',\n      error: '',\n      retryable: true,\n      completedAt: null\n    });\n  }\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `批量投递 1/${candidates.length}：${first.job?.title || '岗位'}`,\n    pendingApplyId: first.id,\n    activeRunId: first.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { count: candidates.length };\n}\n\nasync function rejectAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const count = pending.filter(entry => entry.status === 'pending').length;\n  const next = pending.map(entry => entry.status === 'pending'\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const item of pending.filter(entry => entry.status === 'pending')) {\n    await updateTaskRunByPending(item.id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n  }\n  return { count };\n}\n\nasync function rejectPending(id) {\n  const { pending = [] } = await storage.get('pending');\n  const next = pending.map(entry => entry.id === id ? { ...entry, status: 'rejected', rejectedAt: Date.now() } : entry);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: count } });\n  await updateTaskRunByPending(id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\n\nasync function skipPendingTask(id, reason = '该岗位需要外部网申，已自动跳过', stageLabel = '外部网申岗位已跳过') {\n  const { pending = [], stats = {}, config = {}, chatTransition = null } = await storage.get(['pending', 'stats', 'config', 'chatTransition']);\n  const completedAt = Date.now();\n  let skippedItem = null;\n  let next = pending.map(entry => {\n    if (entry.id !== id) return entry;\n    skippedItem = { ...entry, status: 'skipped', completedAt, error: reason };\n    return skippedItem;\n  });\n  const updatedStats = {\n    ...stats,\n    pending: next.filter(entry => entry.status === 'pending').length\n  };\n  await storage.set({ pending: next, stats: updatedStats, chatTransition: chatTransition?.pendingId === id ? null : chatTransition });\n  const run = await updateTaskRunByPending(id, {\n    status: 'skipped', stage: 'skipped', progress: 100,\n    stageLabel, error: reason, retryable: false, completedAt\n  });\n  await writeEvent('info', stageLabel, {\n    id,\n    runId: run?.id || skippedItem?.runId || '',\n    job: skippedItem?.job,\n    reason\n  });\n\n  next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n  if (queued) {\n    next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n    await storage.set({ pending: next });\n    const queuedRun = await updateTaskRunByPending(queued.id, {\n      status: 'running', stage: 'queued', progress: 64,\n      stageLabel: '准备投递', error: '', completedAt: null\n    });\n    await patchWorkflow({\n      pendingApplyId: queued.id,\n      activeRunId: queuedRun?.id || queued.runId || null,\n      running: true,\n      paused: false,\n      phase: 'apply',\n      statusText: `已跳过外部网申岗位，继续投递：${queued.job?.title || '岗位'}`\n    });\n  } else {\n    await patchWorkflow({\n      pendingApplyId: null,\n      activeRunId: null,\n      running: true,\n      paused: false,\n      phase: 'search',\n      statusText: '外部网申岗位已跳过，继续搜索可直接沟通岗位'\n    });\n  }\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), Math.max(3000, Math.min(10000, Number(config.betweenJobsSeconds || 5) * 1000)));\n  return { item: skippedItem, queued: queued || null };\n}\n\nasync function handleBridgeCommands() {\n  try {\n    const response = await bridge('/commands');\n    for (const command of response.commands || []) {\n      if (command.type === 'start') {\n        await patchWorkflow({ running: true, paused: false, statusText: '由 OpenClaw 启动' });\n        await sendToBoss({ type: 'RUN' });\n      } else if (command.type === 'pause') {\n        await patchWorkflow({ paused: true, statusText: '由 OpenClaw 暂停' });\n      } else if (command.type === 'stop') {\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '由 OpenClaw 停止' });\n      }\n    }\n  } catch {\n    // 桌面桥接未运行时保持浏览器扩展独立可用。\n  }\n}\n\nchrome.runtime.onInstalled.addListener(init);\nchrome.runtime.onStartup.addListener(init);\ninit();\n\nchrome.alarms.onAlarm.addListener(async alarm => {\n  if (alarm.name === 'jobclaw-update-check') {\n    await checkForUpdates(false).catch(() => {});\n    return;\n  }\n  if (alarm.name !== 'jobclaw-tick') return;\n  const { workflow } = await storage.get('workflow');\n  if (workflow?.running && !workflow.paused) sendToBoss({ type: 'RUN' }).catch(() => {});\n  handleBridgeCommands();\n  syncBridgeSnapshot(false).catch(() => {});\n});\n\nchrome.runtime.onMessage.addListener((message, sender, reply) => {\n  (async () => {\n    switch (message?.type) {\n      case 'TRUSTED_CHAT_INPUT': {\n        const tabId = sender?.tab?.id;\n        const url = String(sender?.tab?.url || '');\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('可信输入只能用于当前 BOSS 页面');\n        const result = await trustedChatInput(tabId, message);\n        reply({ ok: true, ...result });\n        break;\n      }\n      case 'RATE_LIMIT': {\n        reply(await enforceRateLimit(message.scope || 'discovery'));\n        break;\n      }\n      case 'SAFETY_OUTCOME': {\n        const state = await applySafetyOutcome({ ok: message.ok !== false, reason: message.reason || '' });\n        reply({ ok: true, state });\n        break;\n      }\n      case 'RESET_SAFETY': {\n        reply({ ok: true, state: await clearSafetyCircuit() });\n        break;\n      }\n      case 'JOB_PREFLIGHT': {\n        reply(await preflightJob(message.job || {}));\n        break;\n      }\n      case 'VERIFY_COMPANY': {\n        reply({ ok: true, result: await verifyCompanyForJob(message.job || {}, Boolean(message.force)) });\n        break;\n      }\n      case 'EVALUATE_STRATEGY': {\n        const { config = {} } = await storage.get('config');\n        const result = evaluateStrategy({\n          strategy: config.batchStrategy,\n          score: message.score,\n          minScore: config.minScore,\n          riskLevel: message.riskLevel || 'unknown',\n          verified: Boolean(message.verified),\n          decision: message.decision || 'cautious',\n          hardBlocks: message.hardBlocks || []\n        });\n        reply({ ok: true, result });\n        break;\n      }\n      case 'CHECK_UPDATE': {\n        reply({ ok: true, result: await checkForUpdates(Boolean(message.force)) });\n        break;\n      }\n      case 'OPEN_UPDATE': {\n        const { updateInfo = {} } = await storage.get('updateInfo');\n        const url = String(message.url || updateInfo.url || 'https://github.com/Chrisbetheking/job-claw/releases');\n        await chrome.tabs.create({ url });\n        reply({ ok: true });\n        break;\n      }\n      case 'GET_STATE':\n        reply({ ok: true, state: publicState(await storage.all()) });\n        break;\n      case 'SAVE_CONFIG': {\n        const { config } = await storage.get('config');\n        const incoming = message.config || {};\n        const oldKey = config?.model?.apiKey || '';\n        incoming.model = {\n          ...(config?.model || {}),\n          ...(incoming.model || {}),\n          apiKey: incoming.model?.apiKey && incoming.model.apiKey !== '***'\n            ? incoming.model.apiKey\n            : oldKey\n        };\n        incoming.executionMode = incoming.executionMode === 'auto' ? 'auto' : 'review';\n        incoming.batchStrategy = normalizeStrategy(incoming.batchStrategy || config?.batchStrategy || 'precise');\n        incoming.massApplyAnalysis = ['fast', 'ai'].includes(incoming.massApplyAnalysis) ? incoming.massApplyAnalysis : (config?.massApplyAnalysis || 'fast');\n        incoming.pacingPreset = ['conservative', 'standard', 'efficient', 'custom'].includes(incoming.pacingPreset) ? incoming.pacingPreset : (config?.pacingPreset || 'standard');\n        incoming.dryRun = Boolean(incoming.dryRun);\n        incoming.dailyTarget = Math.max(1, Math.min(150, Number(incoming.dailyTarget || config?.dailyTarget || 30)));\n        incoming.discoveryLimit = Math.max(1, Math.min(800, Number(incoming.discoveryLimit || config?.discoveryLimit || 150)));\n        const presetDelay = { conservative: 15, standard: 9, efficient: 6 }[incoming.pacingPreset];\n        incoming.betweenJobsSeconds = Math.max(6, Math.min(120, Number(presetDelay || incoming.betweenJobsSeconds || config?.betweenJobsSeconds || 9)));\n        incoming.attachmentDelaySeconds = Math.max(1.5, Math.min(15, Number(incoming.attachmentDelaySeconds || config?.attachmentDelaySeconds || 3)));\n        incoming.maxPerCompanyPerDay = Math.max(1, Math.min(12, Number(incoming.maxPerCompanyPerDay || config?.maxPerCompanyPerDay || 3)));\n        incoming.queueWarmup = Math.max(1, Math.min(10, Number(incoming.queueWarmup || config?.queueWarmup || 4)));\n        incoming.maxConsecutiveFailures = Math.max(1, Math.min(10, Number(incoming.maxConsecutiveFailures || config?.maxConsecutiveFailures || 3)));\n        incoming.jitterSeconds = Math.max(0, Math.min(15, Number(incoming.jitterSeconds ?? config?.jitterSeconds ?? 3)));\n        incoming.companyVerificationEnabled = incoming.companyVerificationEnabled !== false;\n        incoming.companyVerificationProvider = String(incoming.companyVerificationProvider || config?.companyVerificationProvider || 'bridge');\n        incoming.companyVerificationCacheDays = Math.max(1, Math.min(90, Number(incoming.companyVerificationCacheDays || config?.companyVerificationCacheDays || 14)));\n        incoming.blockUnknownCompanies = Boolean(incoming.blockUnknownCompanies);\n        incoming.updateCheckEnabled = incoming.updateCheckEnabled !== false;\n        incoming.dailyReportEnabled = incoming.dailyReportEnabled !== false;\n        incoming.dailyReportTime = /^\\d{2}:\\d{2}$/.test(String(incoming.dailyReportTime || '')) ? String(incoming.dailyReportTime) : (config?.dailyReportTime || '20:30');\n        incoming.dailyReportNotification = incoming.dailyReportNotification !== false;\n        incoming.rateLimits = { ...DEFAULTS.config.rateLimits, ...(config?.rateLimits || {}), ...(incoming.rateLimits || {}), deliveryMs: Math.max(6000, Number(incoming.betweenJobsSeconds || 9) * 1000), attachmentMs: Math.max(1500, Number(incoming.attachmentDelaySeconds || 3) * 1000) };\n        incoming.model.baseUrl = String(incoming.model.baseUrl || 'https://api.deepseek.com').trim();\n        incoming.model.model = String(incoming.model.model || 'deepseek-v4-pro').trim();\n        await storage.set({ config: { ...(config || {}), ...incoming } });\n        await writeEvent('info', '设置已保存');\n        syncBridgeSnapshot(true).catch(() => {});\n        reply({ ok: true });\n        break;\n      }\n      case 'SET_RESUME':\n        await storage.set({ resumeText: String(message.text || '') });\n        await writeEvent('info', '简历文本已保存', { length: String(message.text || '').length });\n        reply({ ok: true });\n        break;\n      case 'SET_RESUME_SOURCE': {\n        const file = message.file || null;\n        if (!file?.name || !file?.dataUrl) throw new Error('简历原文件数据不完整');\n        if (String(file.dataUrl).length > 26 * 1024 * 1024) throw new Error('简历原文件过大');\n        const source = {\n          name: String(file.name),\n          type: String(file.type || ''),\n          size: Number(file.size || 0),\n          lastModified: Number(file.lastModified || 0),\n          dataUrl: String(file.dataUrl),\n          savedAt: Date.now()\n        };\n        await storage.set({ resumeSourceFile: source });\n        await writeEvent('info', '简历原文件已保留', { name: source.name, size: source.size });\n        reply({ ok: true, file: { name: source.name, type: source.type, size: source.size, stored: true } });\n        break;\n      }\n      case 'PARSE_RESUME_PDF': {\n        const { resumeSourceFile } = await storage.get('resumeSourceFile');\n        if (!resumeSourceFile?.dataUrl) throw new Error('请先选择 PDF 简历');\n        if (!String(resumeSourceFile.name || '').toLowerCase().endsWith('.pdf') && resumeSourceFile.type !== 'application/pdf') {\n          throw new Error('当前保留的文件不是 PDF');\n        }\n        try {\n          const result = await bridge('/parse-resume', {\n            name: resumeSourceFile.name,\n            type: resumeSourceFile.type,\n            dataUrl: resumeSourceFile.dataUrl\n          });\n          if (result?.text) await writeEvent('info', 'PDF 本机深度识别完成', { method: result.method, length: result.text.length });\n          reply({ ok: Boolean(result?.ok), result, error: result?.error || '' });\n        } catch (error) {\n          reply({ ok: false, error: `桌面桥接不可用：${error.message}` });\n        }\n        break;\n      }\n      case 'SET_IMAGE':\n        await storage.set({ resumeImage: message.dataUrl || null });\n        await writeEvent('info', message.dataUrl ? '简历图片已保存' : '简历图片已移除');\n        reply({ ok: true });\n        break;\n      case 'BUILD_LOCAL_PROFILE':\n      case 'ENSURE_PROFILE_DRAFT': {\n        const { resumeText, profile: currentProfile, profileDraft: currentDraft } = await storage.get(['resumeText', 'profile', 'profileDraft']);\n        if (profileDraftHasCore(currentDraft) && profileHasCore(currentProfile)) {\n          reply({ ok: true, profile: currentProfile, profileDraft: currentDraft, skipped: true });\n          break;\n        }\n        if (profileHasCore(currentProfile)) {\n          const profileDraft = profileDraftHasAny(currentDraft)\n            ? normalizeProfileDraft(currentDraft, profileToDraft(currentProfile, 'profile-repair'))\n            : profileToDraft(currentProfile, 'profile-repair');\n          await storage.set({ profileDraft });\n          reply({ ok: true, profile: currentProfile, profileDraft, repaired: true });\n          break;\n        }\n        const profile = buildLocalProfile(resumeText || '');\n        profile.generation.mode = 'local-recovery';\n        profile.generation.label = '本地初稿';\n        profile.generation.warning = '已从保存的简历自动恢复可编辑初稿。';\n        const profileDraft = profileToDraft(profile, 'local-recovery');\n        const { directionPlan: currentDirectionPlan } = await storage.get('directionPlan');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        await writeEvent('info', '已从已保存简历恢复可编辑画像', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation: profile.generation });\n        break;\n      }\n      case 'BUILD_PROFILE': {\n        const { resumeText, directionPlan: currentDirectionPlan } = await storage.get(['resumeText', 'directionPlan']);\n        const profile = await buildProfile(resumeText || '');\n        const profileDraft = profileToDraft(profile, profile.generation?.mode || 'generated');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        const generation = profile.generation || {};\n        const local = generation.mode === 'local-fallback';\n        const eventTitle = !local\n          ? (generation.mode === 'ai-compact-retry' ? 'AI 精简重试成功，职业画像已生成' : '职业画像已生成')\n          : generation.aiStatus === 'service-error'\n            ? 'AI 请求失败，已生成本地可编辑画像'\n            : generation.aiStatus === 'config-missing'\n              ? 'AI 尚未配置，已生成本地可编辑画像'\n              : 'AI 输出未通过校验，已生成本地可编辑画像';\n        await writeEvent(local ? 'warning' : 'info', eventTitle,\n          { directions: profile.primaryDirections, generation });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation, warning: generation.warning || '' });\n        break;\n      }\n      case 'SAVE_PROFILE_DRAFT': {\n        const { profileDraft: currentDraft } = await storage.get('profileDraft');\n        const profileDraft = normalizeProfileDraft(message.profileDraft, currentDraft);\n        await storage.set({ profileDraft });\n        reply({ ok: true, profileDraft });\n        break;\n      }\n      case 'SAVE_PROFILE': {\n        const { profile: currentProfile, config = {}, profileDraft: currentDraft, directionPlan: currentDirectionPlan } = await storage.get(['profile', 'config', 'profileDraft', 'directionPlan']);\n        const profile = normalizeProfile(message.profile, currentProfile);\n        const profileDraft = profileToDraft(profile, 'manual-save');\n        const keepDirectionConfirmation = Boolean(\n          currentDirectionPlan?.confirmed\n          && profileDirectionSignature(currentProfile || {}) === profileDirectionSignature(profile)\n        );\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: keepDirectionConfirmation,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        const hard = profile.hardConstraints || {};\n        const nextConfig = {\n          ...config,\n          targetLocations: hard.locations?.length ? hard.locations : (config.targetLocations || []),\n          employmentTypes: hard.employmentTypes?.length ? hard.employmentTypes : (config.employmentTypes || ['不限']),\n          experiences: hard.experience ? [hard.experience] : (config.experiences || []),\n          degrees: hard.degree ? [hard.degree] : (config.degrees || []),\n          salary: hard.salary || config.salary || '不限'\n        };\n        await storage.set({ profile, profileDraft, directionPlan, config: nextConfig });\n        await writeEvent('info', '职业画像已手动保存', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, config: nextConfig });\n        break;\n      }\n      case 'REBUILD_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'profileDraft', 'directionPlan']);\n        let profile = stored.profile;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        const directionPlan = buildDirectionPlan(profile, stored.directionPlan, {\n          confirmed: false,\n          preserveSelections: false,\n          preserveEdits: false,\n          preserveCustom: true\n        });\n        await storage.set({ directionPlan });\n        await writeEvent('info', '已重新生成岗位方向推荐', {\n          directions: directionPlan.items.map(item => item.name),\n          enabled: directionPlan.items.filter(item => item.enabled).length\n        });\n        reply({ ok: true, directionPlan });\n        break;\n      }\n      case 'SAVE_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'config', 'workflow', 'directionPlan']);\n        if (!profileHasCore(stored.profile)) throw new Error('请先生成职业画像');\n        const directionPlan = normalizeDirectionPlan(message.directionPlan, stored.profile, {\n          confirmed: true,\n          updatedAt: Date.now(),\n          appliedAt: Date.now()\n        });\n        const selected = selectedDirectionItems(directionPlan);\n        if (!selected.length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(stored.profile, stored.config || DEFAULTS.config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可用搜索词，请先补充关键词');\n        await storage.set({ directionPlan });\n        await writeEvent('info', '投递岗位方向已保存', {\n          directions: selected.map(item => item.name),\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        reply({\n          ok: true,\n          directionPlan,\n          selectedCount: selected.length,\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        break;\n      }\n      case 'TEST_AI': {\n        const text = await callModel([\n          { role: 'system', content: '只回复“连接正常”。' },\n          { role: 'user', content: '测试连接' }\n        ], false);\n        reply({ ok: true, text });\n        break;\n      }\n      case 'PROBE_BOSS': {\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        const result = await ensureBossReceiver(tab);\n        reply({ ok: true, result: { ...result, tabId: tab.id, title: tab.title || '', url: tab.url || '' } });\n        break;\n      }\n      case 'START': {\n        const safety = await storage.get('safetyState');\n        if (safety.safetyState?.circuitOpen) throw new Error(`安全熔断未重置：${safety.safetyState.circuitReason || '请先检查页面状态'}`);\n        const stored = await storage.get(['profile', 'profileDraft', 'resumeText', 'config', 'directionPlan']);\n        let profile = stored.profile;\n        const config = stored.config;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile) && String(stored.resumeText || '').trim().length >= 30) {\n          profile = buildLocalProfile(stored.resumeText || '');\n          profile.generation.mode = 'local-recovery';\n          profile.generation.label = '本地初稿';\n          const profileDraft = profileToDraft(profile, 'start-recovery');\n          await storage.set({ profile, profileDraft });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        let directionPlan = stored.directionPlan;\n        if (!directionPlan?.items?.length) {\n          directionPlan = buildDirectionPlan(profile, null, { confirmed: false });\n          await storage.set({ directionPlan });\n        }\n        directionPlan = normalizeDirectionPlan(directionPlan, profile);\n        if (!directionPlan.confirmed) throw new Error('请先在“简历 → 职业画像”中选择要投递的岗位方向并保存');\n        if (!selectedDirectionItems(directionPlan).length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(profile, config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可执行的搜索词，请补充方向关键词');\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        await ensureBossReceiver(tab);\n        const workflow = {\n          ...DEFAULTS.workflow,\n          running: true,\n          paused: false,\n          phase: 'search',\n          statusText: '正在启动岗位采集',\n          tasks,\n          activeRunId: null\n        };\n        await storage.set({ workflow });\n        try {\n          await sendToBossTab(tab, { type: 'RUN' });\n          await writeEvent('info', '任务已启动', { taskCount: workflow.tasks.length, tabId: tab.id });\n          reply({ ok: true });\n        } catch (error) {\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            phase: 'idle',\n            statusText: 'BOSS 页面连接失败，任务未启动'\n          });\n          throw error;\n        }\n        break;\n      }\n      case 'PAUSE':\n        await patchWorkflow({ paused: true, statusText: '用户已暂停' });\n        await writeEvent('info', '任务已暂停');\n        reply({ ok: true });\n        break;\n      case 'STOP':\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '用户已停止', pendingApplyId: null, activeRunId: null });\n        await writeEvent('info', '任务已停止');\n        reply({ ok: true });\n        break;\n      case 'AI_JOB':\n        reply({ ok: true, result: await analyzeJob(message.job) });\n        break;\n      case 'CHAT_BINDING_PREPARE': {\n        if (!message.pendingId || !message.expected) throw new Error('岗位与 HR 会话绑定信息不完整');\n        const transition = {\n          pendingId: String(message.pendingId),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          preparedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'CHAT_BINDING_CHECK': {\n        const expected = message.expected || {};\n        const recruiterName = String(message.context?.recruiterName || expected.recruiterName || '').trim();\n        const company = String(message.context?.companyName || expected.company || message.job?.company || '').trim();\n        const key = deriveConversationReservationKey(message.context || {}, expected, message.pendingId);\n        if (!key) {\n          reply({ ok: false, allowed: false, error: '目标 HR 已核验，但无法建立安全投递锁' });\n          break;\n        }\n        const { chatDeliveryLedger = {} } = await storage.get('chatDeliveryLedger');\n        const existing = chatDeliveryLedger[key];\n        const identityExisting = Object.values(chatDeliveryLedger).find(entry =>\n          entry?.pendingId !== message.pendingId\n          && ['reserved', 'sent'].includes(String(entry?.status || ''))\n          && sameRecruiterReservation(entry, recruiterName, company)\n        );\n        const conflict = existing && existing.pendingId !== message.pendingId ? existing : identityExisting;\n        if (conflict) {\n          reply({\n            ok: true,\n            allowed: false,\n            error: `当前 HR 会话已绑定其他岗位任务，禁止继续发送`,\n            existing: conflict\n          });\n          break;\n        }\n        const reservation = {\n          ...(existing || {}),\n          conversationKey: key,\n          pendingId: String(message.pendingId || ''),\n          runId: String(message.runId || ''),\n          jobUrl: String(message.job?.url || ''),\n          jobTitle: String(message.job?.title || ''),\n          company: String(message.job?.company || ''),\n          recruiterName,\n          company,\n          chatUrl: String(message.context?.url || ''),\n          status: existing?.status === 'sent' ? 'sent' : 'reserved',\n          reservedAt: existing?.reservedAt || Date.now(),\n          updatedAt: Date.now()\n        };\n        await storage.set({ chatDeliveryLedger: { ...chatDeliveryLedger, [key]: reservation } });\n        reply({ ok: true, allowed: true, conversationKey: key, reservation });\n        break;\n      }\n      case 'CHAT_BINDING_CONFIRMED': {\n        const transition = {\n          pendingId: String(message.pendingId || ''),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          context: safeClone(message.context || {}),\n          confirmedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'MATERIAL': {\n        const { resumeImage, config } = await storage.get(['resumeImage', 'config']);\n        reply({ ok: true, resumeImage, config });\n        break;\n      }\n      case 'CONTENT_STATE':\n        reply({ ok: true, state: await storage.all() });\n        break;\n      case 'WORKFLOW':\n        reply({ ok: true, workflow: await patchWorkflow(message.patch || {}) });\n        break;\n      case 'STATS':\n        reply({ ok: true, stats: await changeStats(message.delta || {}) });\n        break;\n      case 'TASK_PROGRESS': {\n        const run = await upsertTaskRun(message.run || {});\n        if (message.setActive) await patchWorkflow({ activeRunId: run.id });\n        reply({ ok: true, run });\n        break;\n      }\n      case 'SEARCH_TASK_PROGRESS':\n        reply({ ok: true, task: await updateSearchTaskProgress(message) });\n        break;\n      case 'RETRY_FAILED_TASK':\n        reply({ ok: true, ...(await retryFailedTask(message.runId)) });\n        break;\n      case 'RETRY_ALL_FAILED_TASKS':\n        reply({ ok: true, ...(await retryAllFailedTasks()) });\n        break;\n      case 'IGNORE_FAILED_TASK':\n        reply({ ok: true, run: await ignoreFailedTask(message.runId) });\n        break;\n      case 'OPEN_TASK_JOB': {\n        const url = String(message.url || '').trim();\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('岗位地址无效');\n        const tab = await chrome.tabs.create({ url, active: true });\n        reply({ ok: true, tabId: tab.id });\n        break;\n      }\n      case 'EVENT':\n        reply({ ok: true, event: await writeEvent(message.level || 'info', message.message || '', message.data || {}) });\n        break;\n      case 'PENDING':\n        reply({ ok: true, item: await addPending(message.item || {}) });\n        break;\n      case 'APPROVE':\n        reply({ ok: true, item: await approvePending(message.id, message.greeting || '') });\n        break;\n      case 'REJECT':\n        await rejectPending(message.id);\n        reply({ ok: true });\n        break;\n      case 'APPROVE_ALL':\n        reply({ ok: true, ...(await approveAllPending()) });\n        break;\n      case 'REJECT_ALL':\n        reply({ ok: true, ...(await rejectAllPending()) });\n        break;\n      case 'AUTO_APPROVE': {\n        const { pending = [] } = await storage.get('pending');\n        const next = rerankPending(pending.map(entry => entry.id === message.id\n          ? {\n              ...entry,\n              deliveryGreeting: String(message.greeting || entry.deliveryGreeting || entry.analysis?.greeting || '').trim(),\n              status: 'approved_queue',\n              approvedAt: Date.now()\n            }\n          : entry));\n        await storage.set({ pending: next });\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      }\n      case 'AUTO_DISPATCH_NEXT':\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      case 'SKIP_PENDING':\n        reply({ ok: true, ...(await skipPendingTask(message.id, message.reason, message.stageLabel)) });\n        break;\n      case 'APPLY_COMPLETE': {\n        const { pending = [], config = {}, stats = {}, chatDeliveryLedger = {}, chatTransition = null, deliveryHistory = [] } = await storage.get(['pending', 'config', 'stats', 'chatDeliveryLedger', 'chatTransition', 'deliveryHistory']);\n        const completedAt = Date.now();\n        let completedItem = null;\n        let next = pending.map(entry => {\n          if (entry.id !== message.id) return entry;\n          completedItem = { ...entry, status: message.ok ? 'sent' : 'failed', completedAt, error: message.error || '' };\n          return completedItem;\n        });\n        const updatedStats = {\n          ...stats,\n          pending: next.filter(entry => entry.status === 'pending').length,\n          sent: Number(stats?.sent || 0) + (message.ok ? 1 : 0),\n          failed: Number(stats?.failed || 0) + (message.ok ? 0 : 1)\n        };\n        const conversationKey = String(message.conversation?.key || '');\n        let nextLedger = chatDeliveryLedger;\n        if (conversationKey && chatDeliveryLedger[conversationKey]?.pendingId === message.id) {\n          nextLedger = {\n            ...chatDeliveryLedger,\n            [conversationKey]: {\n              ...chatDeliveryLedger[conversationKey],\n              status: message.ok ? 'sent' : 'failed',\n              sentAt: message.ok ? completedAt : (chatDeliveryLedger[conversationKey].sentAt || null),\n              failedAt: message.ok ? null : completedAt,\n              error: message.error || '',\n              updatedAt: completedAt\n            }\n          };\n        }\n        const nextTransition = chatTransition?.pendingId === message.id ? null : chatTransition;\n        const nextHistory = message.ok && completedItem?.job\n          ? [createHistoryEntry(completedItem.job, 'sent', completedAt, { pendingId: message.id, runId: completedItem.runId || '' }), ...deliveryHistory].slice(0, 2000)\n          : deliveryHistory;\n        await storage.set({ pending: next, stats: updatedStats, chatDeliveryLedger: nextLedger, chatTransition: nextTransition, deliveryHistory: nextHistory });\n        const safetyAfter = await applySafetyOutcome({ ok: Boolean(message.ok), reason: message.error || (message.ok ? '' : '投递失败') });\n        const completedRun = await updateTaskRunByPending(message.id, message.ok\n          ? {\n              status: 'success', stage: 'success', progress: 100, stageLabel: '投递成功', error: '',\n              retryable: false, completedAt, result: message.result || 'sent'\n            }\n          : {\n              status: 'failed', stage: message.stage || 'failed', progress: 100,\n              stageLabel: message.stageLabel || '投递失败', error: message.error || '投递失败',\n              retryable: message.retryable !== false, retryRequestedAt: 0, completedAt\n            });\n        await writeEvent(message.ok ? 'success' : 'error', message.ok ? '求职投递成功' : '求职投递失败', {\n          id: message.id,\n          runId: completedRun?.id || completedItem?.runId || '',\n          job: completedItem?.job,\n          stage: message.stage || '',\n          error: message.error || ''\n        });\n        if (safetyAfter.circuitOpen) {\n          reply({ ok: true, circuitOpen: true, reason: safetyAfter.circuitReason });\n          break;\n        }\n\n        const validationPending = message.ok\n          && config.executionMode === 'auto'\n          && config.requireSingleJobValidation !== false\n          && !Number(config.singleJobValidationCompletedAt || 0);\n        if (validationPending) {\n          const nextConfig = { ...config, singleJobValidationCompletedAt: completedAt };\n          await storage.set({ config: nextConfig });\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: null,\n            phase: 'idle',\n            statusText: '单条验收已通过并自动暂停；确认聊天文字和附件后可继续批量'\n          });\n          await writeEvent('success', '首次单条投递验收通过', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            completedAt\n          });\n          reply({ ok: true, validationCompleted: true, pausedForValidation: true });\n          break;\n        }\n\n        if (updatedStats.sent >= Number(config.dailyTarget || 30)) {\n          await patchWorkflow({ running: false, paused: true, pendingApplyId: null, activeRunId: null, phase: 'idle', statusText: `已完成今日 ${updatedStats.sent} 次成功投递` });\n          reply({ ok: true, targetReached: true });\n          break;\n        }\n\n        // 任何文字未确认场景都暂停当前队列，但只有输入框中确实存在完整招呼语时，\n        // 才提示“草稿已保留”。输入框为空时必须明确提示写入失败，不能误导用户。\n        if (!message.ok && message.pauseQueue) {\n          const draftPresent = message.preserveDraft === true || message.draftPresent === true;\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: completedRun?.id || completedItem?.runId || null,\n            phase: 'apply',\n            statusText: draftPresent\n              ? '发送未确认，已暂停队列；当前招呼语仍在输入框'\n              : '文字没有写入或没有发送，已暂停队列并停留在当前 HR 页面'\n          });\n          await writeEvent('warning', draftPresent\n            ? '自动投递已暂停，当前招呼语仍保留在输入框'\n            : '自动投递已暂停，聊天输入框中没有完整招呼语', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            draftPresent,\n            editorDiagnostics: message.editorDiagnostics || null,\n            error: message.error || ''\n          });\n          reply({ ok: true, pausedForDraft: draftPresent, pausedForSendFailure: true });\n          break;\n        }\n\n        next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n        if (queued) {\n          next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n          await storage.set({ pending: next });\n          const remaining = next.filter(entry => entry.status === 'approved_queue').length;\n          const queuedRun = await updateTaskRunByPending(queued.id, {\n            status: 'running', stage: 'queued', progress: 64, stageLabel: '准备投递', error: '', completedAt: null\n          });\n          await patchWorkflow({\n            pendingApplyId: queued.id,\n            activeRunId: queuedRun?.id || queued.runId || null,\n            running: true,\n            paused: false,\n            phase: 'apply',\n            statusText: `继续批量投递：${queued.job?.title || '岗位'}（剩余 ${remaining}）`\n          });\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ statusText: `当前岗位处理完成，${Math.round(pacingMs / 1000)} 秒后继续批量投递` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        } else {\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ pendingApplyId: null, activeRunId: null, phase: 'search', statusText: message.ok ? `文字投递已确认，${Math.round(pacingMs / 1000)} 秒后继续筛选` : `当前岗位失败，${Math.round(pacingMs / 1000)} 秒后继续筛选` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        }\n        reply({ ok: true });\n        break;\n      }\n      case 'BRIDGE_STATUS':\n        try { reply({ ok: true, result: await bridge('/status') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_DIAGNOSE':\n        reply({ ok: true, result: await diagnoseBridge() });\n        break;\n      case 'BRIDGE_REPORT_NOW':\n        try {\n          await syncBridgeSnapshot(true);\n          reply({ ok: true, result: await bridge('/report/generate', { force: true }) });\n        } catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_REPORT':\n        try { reply({ ok: true, result: await bridge('/report') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_COMMAND':\n        try { reply({ ok: true, result: await bridge('/command', { type: message.command }) }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      default:\n        reply({ ok: false, error: 'unknown message' });\n    }\n  })().catch(async error => {\n    await writeEvent('error', '后台处理失败', { type: message?.type, error: error.message });\n    reply({ ok: false, error: error.message });\n  });\n  return true;\n});\n"}, "76f53ebdeadb5fe589927cbed2ecce55fc037ed5": {"t": 1785758652.7648964, "n": 132197, "h": "09d43e3692436939", "c": "import { DEFAULTS, safeClone, today, uniq } from './common.js';\nimport { normalizeConversationIdentity, deriveConversationReservationKey, sameRecruiterReservation } from './lib/conversation-identity.js';\nimport { TERMINAL_RUN_STATUSES, taskStageMeta } from './lib/task-state.js';\nimport { rerankPending } from './lib/job-priority.js';\n\nconst BRIDGE_ENDPOINTS = ['http://127.0.0.1:17899', 'http://localhost:17899'];\nconst EXPECTED_CONTENT_VERSION = '1.3.0';\nconst CONTENT_SCRIPT_FILE = 'content-v37.js';\nconst storage = {\n  get: keys => chrome.storage.local.get(keys),\n  all: () => chrome.storage.local.get(null),\n  set: patch => chrome.storage.local.set(patch)\n};\n\nconst debuggerLocks = new Map();\n\nconst OFFSCREEN_DOCUMENT_PATH = 'offscreen.html';\nlet offscreenCreation = null;\n\nasync function ensureClipboardOffscreen() {\n  if (!chrome.offscreen?.createDocument) return false;\n  const url = chrome.runtime.getURL(OFFSCREEN_DOCUMENT_PATH);\n  if (chrome.runtime.getContexts) {\n    const contexts = await chrome.runtime.getContexts({\n      contextTypes: ['OFFSCREEN_DOCUMENT'],\n      documentUrls: [url]\n    }).catch(() => []);\n    if (contexts?.length) return true;\n  }\n  if (!offscreenCreation) {\n    offscreenCreation = chrome.offscreen.createDocument({\n      url: OFFSCREEN_DOCUMENT_PATH,\n      reasons: ['CLIPBOARD'],\n      justification: '将求职招呼语以真实粘贴方式写入 BOSS 聊天编辑器'\n    }).then(() => true).catch(error => {\n      const message = String(error?.message || error || '');\n      if (/single offscreen|already exists|existing offscreen/i.test(message)) return true;\n      throw error;\n    }).finally(() => { offscreenCreation = null; });\n  }\n  return offscreenCreation;\n}\n\nasync function writeClipboardText(text) {\n  const value = String(text || '');\n  if (!value) return false;\n  try {\n    const ready = await ensureClipboardOffscreen();\n    if (!ready) return false;\n    const response = await chrome.runtime.sendMessage({ type: 'JOBCLAW_CLIPBOARD_WRITE', text: value });\n    return response?.ok === true;\n  } catch {\n    return false;\n  }\n}\n\nfunction validPoint(point) {\n  const x = Number(point?.x);\n  const y = Number(point?.y);\n  if (!Number.isFinite(x) || !Number.isFinite(y) || x < 0 || y < 0) {\n    throw new Error('聊天输入坐标无效');\n  }\n  return { x, y };\n}\n\nasync function debuggerBringToFront(target) {\n  await chrome.debugger.sendCommand(target, 'Page.bringToFront').catch(() => {});\n  await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression: 'window.focus(); true',\n    returnByValue: true\n  }).catch(() => {});\n}\n\nasync function debuggerNodeAtPoint(target, point) {\n  const { x, y } = validPoint(point);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getNodeForLocation', {\n    x, y,\n    includeUserAgentShadowDOM: true,\n    ignorePointerEventsNone: true\n  }).catch(() => null);\n  return {\n    nodeId: Number(result?.nodeId || 0),\n    backendNodeId: Number(result?.backendNodeId || 0),\n    frameId: String(result?.frameId || '')\n  };\n}\n\nasync function debuggerResolveNodeObject(target, node = {}) {\n  const args = {};\n  if (Number(node.nodeId || 0)) args.nodeId = Number(node.nodeId);\n  else if (Number(node.backendNodeId || 0)) args.backendNodeId = Number(node.backendNodeId);\n  else return '';\n  const resolved = await chrome.debugger.sendCommand(target, 'DOM.resolveNode', args).catch(() => null);\n  return String(resolved?.object?.objectId || '');\n}\n\nasync function debuggerReadObjectText(target, objectId = '') {\n  if (!objectId) return '';\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      if ('value' in this && !this.isContentEditable) return String(this.value || '');\n      return String(this.innerText || this.textContent || '');\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerReadNodeText(target, node = {}) {\n  const objectId = await debuggerResolveNodeObject(target, node);\n  return debuggerReadObjectText(target, objectId);\n}\n\nasync function debuggerFindEditableObject(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  const point = validPoint(message.point);\n  const expression = `(() => {\n    const exactSelector = ${JSON.stringify(selector)};\n    const point = ${JSON.stringify(point)};\n    const editableSelector = 'textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]';\n    const isEditable = node => {\n      if (!node || node.nodeType !== 1) return false;\n      const tag = String(node.tagName || '').toLowerCase();\n      if (tag === 'textarea') return true;\n      if (tag === 'input') {\n        const type = String(node.getAttribute('type') || 'text').toLowerCase();\n        return ['text', 'search', ''].includes(type);\n      }\n      const mode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n      return node.isContentEditable\n        || Boolean(mode && !['false', 'inherit', 'off'].includes(mode))\n        || node.getAttribute('role') === 'textbox'\n        || node.getAttribute('data-slate-editor') === 'true'\n        || node.getAttribute('data-lexical-editor') === 'true';\n    };\n    const deepQuery = (root, query) => {\n      if (!root) return null;\n      try {\n        const direct = root.querySelector?.(query);\n        if (direct) return direct;\n      } catch {}\n      let elements = [];\n      try { elements = [...(root.querySelectorAll?.('*') || [])]; } catch {}\n      for (const element of elements) {\n        if (element.shadowRoot) {\n          const found = deepQuery(element.shadowRoot, query);\n          if (found) return found;\n        }\n      }\n      return null;\n    };\n    const nearestEditable = node => {\n      let current = node;\n      for (let depth = 0; current && depth < 16; depth += 1) {\n        if (isEditable(current)) return current;\n        let nested = null;\n        try { nested = current.querySelector?.(editableSelector); } catch {}\n        if (nested && isEditable(nested)) return nested;\n        const root = current.getRootNode?.();\n        current = current.parentElement || (root && root.host) || null;\n      }\n      return null;\n    };\n    let node = exactSelector ? deepQuery(document, exactSelector) : null;\n    node = nearestEditable(node) || node;\n    if (!isEditable(node)) {\n      let pointNode = null;\n      try { pointNode = document.elementFromPoint(point.x, point.y); } catch {}\n      node = nearestEditable(pointNode);\n    }\n    if (!isEditable(node)) return null;\n    try { node.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n    try { node.focus({ preventScroll: true }); } catch { try { node.focus(); } catch {} }\n    if (node.isContentEditable) {\n      try {\n        const selection = window.getSelection();\n        const range = document.createRange();\n        range.selectNodeContents(node);\n        range.collapse(false);\n        selection.removeAllRanges();\n        selection.addRange(range);\n      } catch {}\n    }\n    return node;\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: false,\n    awaitPromise: false,\n    includeCommandLineAPI: false\n  }).catch(() => null);\n  const objectId = String(result?.result?.objectId || '');\n  if (!objectId) return { objectId: '', nodeId: 0, point, selector };\n  const requested = await chrome.debugger.sendCommand(target, 'DOM.requestNode', { objectId }).catch(() => null);\n  const nodeId = Number(requested?.nodeId || 0);\n  return { objectId, nodeId, point, selector };\n}\n\nasync function debuggerFocusObject(target, objectId = '') {\n  if (!objectId) return null;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      try { this.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n      try { this.focus({ preventScroll: true }); } catch { try { this.focus(); } catch {} }\n      if (this.isContentEditable) {\n        try {\n          const selection = window.getSelection();\n          const range = document.createRange();\n          range.selectNodeContents(this);\n          range.collapse(false);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        } catch {}\n      }\n      const rect = this.getBoundingClientRect();\n      return { left: rect.left, top: rect.top, width: rect.width, height: rect.height, tag: this.tagName || '', id: this.id || '' };\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return result?.result?.value || null;\n}\n\nasync function debuggerPasteClipboard(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4,\n    commands: ['Paste']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4\n  });\n}\n\nasync function withTabDebugger(tabId, operation) {\n  if (!Number.isInteger(Number(tabId))) throw new Error('无法确定当前 BOSS 标签页');\n  const id = Number(tabId);\n  const previous = debuggerLocks.get(id) || Promise.resolve();\n  let release;\n  const current = new Promise(resolve => { release = resolve; });\n  const queueEntry = previous.then(() => current);\n  debuggerLocks.set(id, queueEntry);\n  await previous;\n  const target = { tabId: id };\n  let attached = false;\n  try {\n    await chrome.debugger.attach(target, '1.3');\n    attached = true;\n    await debuggerBringToFront(target);\n    return await operation(target);\n  } catch (error) {\n    const message = String(error?.message || error || '');\n    if (/Another debugger is already attached|Cannot attach to this target|DevTools/i.test(message)) {\n      throw new Error('Chrome 调试通道正被 DevTools 或其他工具占用，请关闭该 BOSS 页面的开发者工具后重试');\n    }\n    throw error;\n  } finally {\n    if (attached) await chrome.debugger.detach(target).catch(() => {});\n    release?.();\n    if (debuggerLocks.get(id) === queueEntry) debuggerLocks.delete(id);\n  }\n}\n\nasync function debuggerMouseClick(target, point) {\n  const { x, y } = validPoint(point);\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseMoved', x, y, button: 'none', buttons: 0\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mousePressed', x, y, button: 'left', buttons: 1, clickCount: 1\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseReleased', x, y, button: 'left', buttons: 0, clickCount: 1\n  });\n}\n\nasync function debuggerDocumentNode(target) {\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getDocument', {\n    depth: -1,\n    pierce: true\n  });\n  const nodeId = Number(result?.root?.nodeId || 0);\n  if (!nodeId) throw new Error('无法读取当前 BOSS 页面 DOM');\n  return nodeId;\n}\n\nasync function debuggerNodeBySelector(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return 0;\n  const rootNodeId = await debuggerDocumentNode(target);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.querySelector', {\n    nodeId: rootNodeId,\n    selector: normalized\n  });\n  return Number(result?.nodeId || 0);\n}\n\nasync function debuggerFocusTarget(target, message = {}) {\n  await debuggerBringToFront(target);\n\n  // 必须优先锁定 content script 临时标记的真实编辑节点。旧版先取坐标节点，\n  // BOSS 页面上经常命中编辑器外壳/透明层，导致看似有光标但文字没有进入编辑器。\n  const exact = await debuggerFindEditableObject(target, message).catch(() => ({ objectId: '', nodeId: 0 }));\n  if (exact.objectId) {\n    const rect = await debuggerFocusObject(target, exact.objectId);\n    if (rect && Number(rect.width) > 0 && Number(rect.height) > 0) {\n      const clickPoint = {\n        x: Math.round(Number(rect.left) + Math.max(8, Math.min(Number(rect.width) - 8, Number(rect.width) * 0.5))),\n        y: Math.round(Number(rect.top) + Math.max(8, Math.min(Number(rect.height) - 8, Number(rect.height) * 0.5)))\n      };\n      await debuggerMouseClick(target, clickPoint).catch(() => {});\n      await debuggerFocusObject(target, exact.objectId);\n      return { method: 'exact-selector-object-focus+click', ...exact, point: clickPoint, rect };\n    }\n    return { method: 'exact-selector-object-focus', ...exact, rect };\n  }\n\n  const pointNode = await debuggerNodeAtPoint(target, message.point).catch(() => ({ nodeId: 0, backendNodeId: 0 }));\n  if (pointNode.nodeId || pointNode.backendNodeId) {\n    const args = pointNode.nodeId ? { nodeId: pointNode.nodeId } : { backendNodeId: pointNode.backendNodeId };\n    await chrome.debugger.sendCommand(target, 'DOM.focus', args).catch(() => {});\n    await debuggerMouseClick(target, message.point).catch(() => {});\n    const objectId = await debuggerResolveNodeObject(target, pointNode).catch(() => '');\n    return { method: 'point-node-focus+click', ...pointNode, objectId };\n  }\n\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0, objectId: '' };\n}\n\nasync function debuggerClickTarget(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  if (selector) {\n    const nodeId = await debuggerNodeBySelector(target, selector);\n    if (nodeId) {\n      await chrome.debugger.sendCommand(target, 'DOM.scrollIntoViewIfNeeded', { nodeId }).catch(() => {});\n      const model = await chrome.debugger.sendCommand(target, 'DOM.getBoxModel', { nodeId });\n      const quad = model?.model?.content || model?.model?.border || [];\n      if (Array.isArray(quad) && quad.length >= 8) {\n        const xs = [quad[0], quad[2], quad[4], quad[6]].map(Number);\n        const ys = [quad[1], quad[3], quad[5], quad[7]].map(Number);\n        await debuggerMouseClick(target, {\n          x: xs.reduce((sum, value) => sum + value, 0) / xs.length,\n          y: ys.reduce((sum, value) => sum + value, 0) / ys.length\n        });\n        return { method: 'dom-box-click', nodeId };\n      }\n    }\n  }\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0 };\n}\n\nasync function debuggerReadTargetText(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return '';\n  const expression = `(() => {\n    const element = document.querySelector(${JSON.stringify(normalized)});\n    if (!element) return '';\n    if ('value' in element) return String(element.value || '');\n    return String(element.innerText || element.textContent || '');\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: true,\n    awaitPromise: false\n  });\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerSelectAll(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4, commands: ['SelectAll']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4\n  });\n}\n\nasync function debuggerPressEnter(target) {\n  // 与 Selenium/Playwright 的真实 Enter 等价：rawKeyDown 携带回车文本后再 keyUp。\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13, text: '\\r', unmodifiedText: '\\r'\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13\n  });\n}\n\nasync function debuggerTypeText(target, text) {\n  const value = String(text || '');\n  for (const character of value) {\n    await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n      type: 'char',\n      text: character,\n      unmodifiedText: character\n    });\n    await new Promise(resolve => setTimeout(resolve, 12));\n  }\n}\n\nasync function mainWorldWriteChatText(tabId, selector, text) {\n  const normalizedSelector = String(selector || '').trim();\n  const desired = String(text || '');\n  if (!normalizedSelector || !desired.trim()) throw new Error('聊天输入目标或招呼语为空');\n  const results = await chrome.scripting.executeScript({\n    target: { tabId: Number(tabId) },\n    world: 'MAIN',\n    func: (exactSelector, nextText) => {\n      const normalizeText = value => String(value || '').replace(/\\s+/g, '').trim();\n      const isEditable = node => {\n        if (!node || typeof node.matches !== 'function') return false;\n        const tag = String(node.tagName || '').toLowerCase();\n        if (tag === 'textarea') return true;\n        if (tag === 'input') {\n          const type = String(node.getAttribute('type') || 'text').toLowerCase();\n          return ['text', 'search', ''].includes(type);\n        }\n        const editableMode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n        return node.isContentEditable\n          || Boolean(editableMode && !['false', 'inherit', 'off'].includes(editableMode))\n          || node.getAttribute('role') === 'textbox'\n          || node.getAttribute('data-slate-editor') === 'true'\n          || node.getAttribute('data-lexical-editor') === 'true';\n      };\n      const deepQuery = (rootNode, query) => {\n        if (!rootNode) return null;\n        try {\n          const direct = rootNode.querySelector?.(query);\n          if (direct) return direct;\n        } catch {}\n        let elements = [];\n        try { elements = [...(rootNode.querySelectorAll?.('*') || [])]; } catch {}\n        for (const element of elements) {\n          if (element.shadowRoot) {\n            const found = deepQuery(element.shadowRoot, query);\n            if (found) return found;\n          }\n        }\n        return null;\n      };\n      const root = deepQuery(document, exactSelector);\n      if (!root) return { ok: false, reason: 'selector-not-found' };\n      const editor = isEditable(root)\n        ? root\n        : [...root.querySelectorAll('textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]')].find(isEditable);\n      if (!editor) return { ok: false, reason: 'editable-not-found', rootTag: String(root.tagName || '') };\n\n      const readValue = () => {\n        if ('value' in editor && !editor.isContentEditable) return String(editor.value || '');\n        return String(editor.innerText || editor.textContent || '');\n      };\n      const dispatchInput = (inputType, data) => {\n        try {\n          editor.dispatchEvent(new InputEvent('input', {\n            bubbles: true,\n            cancelable: false,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          editor.dispatchEvent(new Event('input', { bubbles: true, composed: true }));\n        }\n      };\n      const dispatchBeforeInput = (inputType, data) => {\n        try {\n          return editor.dispatchEvent(new InputEvent('beforeinput', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          return true;\n        }\n      };\n\n      editor.scrollIntoView?.({ block: 'nearest', inline: 'nearest', behavior: 'instant' });\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const previous = readValue();\n      const tag = String(editor.tagName || '').toLowerCase();\n      let method = '';\n\n      if ((tag === 'textarea' || tag === 'input') && 'value' in editor) {\n        const proto = tag === 'textarea' ? HTMLTextAreaElement.prototype : HTMLInputElement.prototype;\n        const setter = Object.getOwnPropertyDescriptor(proto, 'value')?.set;\n        dispatchBeforeInput('deleteByCut', null);\n        if (setter) setter.call(editor, ''); else editor.value = '';\n        dispatchInput('deleteByCut', null);\n        const tracker = editor._valueTracker;\n        if (tracker?.setValue) tracker.setValue(previous);\n        dispatchBeforeInput('insertText', nextText);\n        if (setter) setter.call(editor, nextText); else editor.value = nextText;\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        method = 'main-native-value-setter';\n      } else {\n        const selection = window.getSelection?.();\n        if (selection && document.createRange) {\n          const range = document.createRange();\n          range.selectNodeContents(editor);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        }\n        dispatchBeforeInput('deleteContentBackward', null);\n        let inserted = false;\n        try {\n          const transfer = new DataTransfer();\n          transfer.setData('text/plain', nextText);\n          const pasteEvent = new ClipboardEvent('paste', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            clipboardData: transfer\n          });\n          editor.dispatchEvent(pasteEvent);\n          inserted = normalizeText(readValue()).includes(normalizeText(nextText));\n        } catch {\n          inserted = false;\n        }\n        if (!inserted) {\n          try {\n            inserted = Boolean(document.execCommand?.('insertText', false, nextText));\n          } catch {\n            inserted = false;\n          }\n        }\n        if (!inserted || !normalizeText(readValue()).includes(normalizeText(nextText))) {\n          try {\n            editor.replaceChildren(document.createTextNode(nextText));\n          } catch {\n            editor.textContent = nextText;\n          }\n        }\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        try {\n          editor.dispatchEvent(new CompositionEvent('compositionend', { bubbles: true, composed: true, data: nextText }));\n        } catch {}\n        method = inserted ? 'main-exec-command' : 'main-contenteditable-replace';\n      }\n\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const actual = readValue();\n      const compactExpected = normalizeText(nextText);\n      const compactActual = normalizeText(actual);\n      return {\n        ok: Boolean(compactActual && compactActual.includes(compactExpected)),\n        method,\n        actual,\n        tag,\n        id: String(editor.id || ''),\n        className: String(editor.className || '').slice(0, 180),\n        contenteditable: String(editor.getAttribute?.('contenteditable') || ''),\n        role: String(editor.getAttribute?.('role') || '')\n      };\n    },\n    args: [normalizedSelector, desired]\n  });\n  return results?.[0]?.result || { ok: false, reason: 'main-world-no-result' };\n}\n\nasync function trustedChatInput(tabId, message = {}) {\n  const action = String(message.action || '');\n  if (action === 'replaceText' || action === 'replaceTextAndEnter') {\n    const text = String(message.text || '');\n    if (!text.trim()) throw new Error('待输入的招呼语为空');\n    const compactExpected = text.replace(/\\s+/g, '');\n\n    // 写入和 Enter 必须在同一次 debugger 会话、同一个精确编辑节点上完成。\n    // 这是 Selenium sendKeys / Playwright locator.type + Enter 的同类浏览器级路径，\n    // 避免旧版“聚焦了外壳、文字没有进入真实编辑器”的问题。\n    return withTabDebugger(tabId, async target => {\n      let focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n\n      const readExact = async () => debuggerReadObjectText(target, focus.objectId);\n      const refocus = async () => {\n        const refreshed = await debuggerFocusTarget(target, message);\n        if (refreshed.objectId) focus = refreshed;\n        if (!focus.objectId) throw new Error('BOSS 聊天编辑节点已失效');\n        return focus;\n      };\n      const matches = value => {\n        const compact = String(value || '').replace(/\\s+/g, '');\n        return Boolean(compact && (compact === compactExpected || compact.includes(compactExpected)));\n      };\n\n      let actual = '';\n      let writeMethod = '';\n\n      // 1) 精确对象聚焦后使用 CDP Input.insertText，最接近真实键盘输入。\n      await debuggerSelectAll(target);\n      await chrome.debugger.sendCommand(target, 'Input.insertText', { text });\n      await new Promise(resolve => setTimeout(resolve, 700));\n      actual = await readExact();\n      writeMethod = 'exact-cdp-insert-text';\n\n      // 2) 某些富文本编辑器只响应原生 paste。\n      if (!matches(actual) && await writeClipboardText(text)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerPasteClipboard(target);\n        await new Promise(resolve => setTimeout(resolve, 900));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-clipboard-paste';\n      }\n\n      // 3) React/Vue 受控编辑器可能需要主世界 setter/beforeinput/input。\n      if (!matches(actual)) {\n        const mainWrite = await mainWorldWriteChatText(tabId, message.selector, text).catch(error => ({\n          ok: false,\n          reason: String(error?.message || error || 'main-world-write-failed')\n        }));\n        await refocus();\n        await new Promise(resolve => setTimeout(resolve, 650));\n        actual = await readExact();\n        writeMethod = mainWrite?.method || 'main-world-write';\n      }\n\n      // 4) 最后兜底为逐字符可信键盘输入，仍锁定同一个真实节点。\n      if (!matches(actual)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerTypeText(target, text);\n        await new Promise(resolve => setTimeout(resolve, 1000));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-keyboard-type';\n      }\n\n      if (!matches(actual)) {\n        throw new Error(`文字没有进入 BOSS 真实聊天编辑器；实际长度=${String(actual || '').length}`);\n      }\n\n      if (action === 'replaceTextAndEnter') {\n        await refocus();\n        // 给 BOSS 受控状态一次提交渲染机会，再发送真实 Enter。\n        await new Promise(resolve => setTimeout(resolve, 520));\n        await debuggerPressEnter(target);\n      }\n\n      return {\n        ok: true,\n        action,\n        length: text.length,\n        insertedBeforeSend: true,\n        writeMethod,\n        actualLength: String(actual || '').length,\n        focusMethod: focus.method,\n        editor: {\n          nodeId: Number(focus.nodeId || 0),\n          selector: String(message.selector || '')\n        }\n      };\n    });\n  }\n\n  return withTabDebugger(tabId, async target => {\n    if (action === 'pressEnter') {\n      const focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n      await new Promise(resolve => setTimeout(resolve, 320));\n      await debuggerPressEnter(target);\n      return { ok: true, action, focusMethod: focus.method };\n    }\n    if (action === 'click') {\n      const click = await debuggerClickTarget(target, message);\n      return { ok: true, action, clickMethod: click.method };\n    }\n    throw new Error('不支持的可信输入动作');\n  });\n}\n\nasync function init() {\n  const current = await storage.all();\n  const patch = {};\n  for (const [key, value] of Object.entries(DEFAULTS)) {\n    if (current[key] === undefined) patch[key] = value;\n  }\n  if (!current.ui9ModeMigration) {\n    const currentConfig = current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...currentConfig,\n      executionMode: currentConfig.executionMode === 'auto' ? 'auto' : 'review',\n      dailyTarget: Number(currentConfig.dailyTarget || 0) === 40 ? 150 : Number(currentConfig.dailyTarget || 150)\n    };\n    patch.ui9ModeMigration = true;\n  }\n  if (!current.ui10UnlimitedV4Migration) {\n    const baseConfig = patch.config || current.config || {};\n    const baseModel = { ...DEFAULTS.config.model, ...(baseConfig.model || {}) };\n    const baseUrl = String(baseModel.baseUrl || DEFAULTS.config.model.baseUrl);\n    const modelName = String(baseModel.model || '').trim();\n    const isDeepSeek = /deepseek\\.com/i.test(baseUrl);\n    const legacyDeepSeekModel = !modelName || ['deepseek-chat', 'deepseek-reasoner', 'deepseek-v4'].includes(modelName);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      discoveryLimit: 0,\n      model: {\n        ...baseModel,\n        model: isDeepSeek && legacyDeepSeekModel ? 'deepseek-v4-pro' : (modelName || 'deepseek-v4-pro')\n      }\n    };\n    patch.ui10UnlimitedV4Migration = true;\n  }\n  if (!current.ui20ReliableSendMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(8, Math.min(30, Number(baseConfig.betweenJobsSeconds || 8))),\n      attachmentDelaySeconds: Math.max(1, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 2)))\n    };\n    patch.ui20ReliableSendMigration = true;\n  }\n  if (!current.ui21ConversationBindingMigration) {\n    patch.chatTransition = null;\n    patch.chatDeliveryLedger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object'\n      ? current.chatDeliveryLedger\n      : {};\n    patch.ui21ConversationBindingMigration = true;\n  }\n  if (!current.ui22StrictTranscriptMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(12, Math.min(30, Number(baseConfig.betweenJobsSeconds || 12))),\n      attachmentDelaySeconds: Math.max(4, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 4)))\n    };\n    patch.ui22StrictTranscriptMigration = true;\n  }\n  if (!current.ui24VerifiedConversationMigration) {\n    patch.chatTransition = null;\n    patch.ui24VerifiedConversationMigration = true;\n  }\n  if (!current.ui27TrustedInputMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      phase: 'idle',\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '可信发送引擎已升级，请重新开始任务'\n    };\n    patch.chatTransition = null;\n    patch.ui27TrustedInputMigration = true;\n  }\n  if (!current.ui12ProfileDraftMigration) {\n    let migratedProfile = current.profile && typeof current.profile === 'object' ? current.profile : null;\n    let migratedDraft = current.profileDraft && typeof current.profileDraft === 'object'\n      ? normalizeProfileDraft(current.profileDraft)\n      : null;\n    if (!profileDraftHasAny(migratedDraft) && profileHasCore(migratedProfile)) {\n      migratedDraft = profileToDraft(migratedProfile, 'migration');\n    }\n    if (!profileDraftHasCore(migratedDraft) && String(current.resumeText || '').trim().length >= 30) {\n      try {\n        migratedProfile = buildLocalProfile(current.resumeText || '');\n        migratedProfile.generation.mode = 'local-recovery';\n        migratedProfile.generation.label = '本地初稿';\n        migratedProfile.generation.warning = '已从保存的简历恢复初稿。';\n        migratedDraft = profileToDraft(migratedProfile, 'recovery');\n        patch.profile = migratedProfile;\n      } catch {\n        // 简历内容不足时只保留现有数据，不生成空画像。\n      }\n    }\n    if (profileDraftHasAny(migratedDraft)) patch.profileDraft = migratedDraft;\n    patch.ui12ProfileDraftMigration = true;\n  }\n  if (!current.ui37DirectionPlanMigration) {\n    const profileForPlan = patch.profile || current.profile || null;\n    const existingPlan = current.directionPlan && typeof current.directionPlan === 'object'\n      ? current.directionPlan\n      : null;\n    if (profileHasCore(profileForPlan)) {\n      patch.directionPlan = buildDirectionPlan(profileForPlan, existingPlan, {\n        confirmed: Boolean(existingPlan?.confirmed),\n        preserveSelections: true,\n        preserveEdits: true,\n        preserveCustom: true\n      });\n    } else if (existingPlan) {\n      patch.directionPlan = normalizeDirectionPlan(existingPlan, profileForPlan);\n    }\n    patch.ui37DirectionPlanMigration = true;\n  }\n  if (!current.ui18TaskProgressMigration) {\n    const migratedPending = Array.isArray(current.pending) ? current.pending.map(entry => ({ ...entry })) : [];\n    const migratedRuns = Array.isArray(current.taskRuns) ? current.taskRuns.map(run => normalizeTaskRun(run, run)) : [];\n    for (let index = 0; index < migratedPending.length; index += 1) {\n      const item = migratedPending[index];\n      let run = migratedRuns.find(entry => entry.id === item.runId || entry.pendingId === item.id);\n      if (!run) {\n        const statusMap = {\n          pending: ['waiting_review', 'waiting_review', 60],\n          approved: ['running', 'queued', 64],\n          approved_queue: ['queued', 'queued', 64],\n          sent: ['success', 'success', 100],\n          failed: ['failed', 'failed', 100],\n          rejected: ['ignored', 'ignored', 100]\n        };\n        const [status, stage, progress] = statusMap[item.status] || ['skipped', 'skipped', 100];\n        run = normalizeTaskRun({\n          id: crypto.randomUUID(),\n          pendingId: item.id,\n          job: item.job,\n          analysis: item.analysis,\n          searchTask: item.task,\n          status,\n          stage,\n          progress,\n          error: item.error || '',\n          retryable: item.status === 'failed',\n          createdAt: item.createdAt || Date.now(),\n          completedAt: ['sent', 'failed', 'rejected'].includes(item.status) ? (item.completedAt || item.rejectedAt || Date.now()) : null\n        });\n        migratedRuns.push(run);\n      }\n      migratedPending[index] = { ...item, runId: run.id };\n    }\n    const workflow = { ...DEFAULTS.workflow, ...(current.workflow || {}) };\n    workflow.tasks = (workflow.tasks || []).map((task, index) => ({\n      ...task,\n      id: task.id || crypto.randomUUID(),\n      status: task.status || (index < Number(workflow.taskIndex || 0) ? 'completed' : index === Number(workflow.taskIndex || 0) && workflow.running ? 'running' : 'pending'),\n      progress: Number.isFinite(Number(task.progress)) ? Number(task.progress) : (index < Number(workflow.taskIndex || 0) ? 100 : 0),\n      stageLabel: task.stageLabel || (index < Number(workflow.taskIndex || 0) ? '已完成' : '等待开始'),\n      processed: Number(task.processed || 0),\n      discovered: Number(task.discovered || 0),\n      analyzed: Number(task.analyzed || 0),\n      failed: Number(task.failed || 0)\n    }));\n    patch.pending = migratedPending;\n    patch.taskRuns = migratedRuns;\n    patch.workflow = workflow;\n    patch.ui18TaskProgressMigration = true;\n  }\n  if (!current.ui20GreetingLockMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = basePending.map(item => ({\n      ...item,\n      deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim()\n    }));\n    patch.ui20GreetingLockMigration = true;\n  }\n  if (!current.ui30AtomicSendSortMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '投递引擎与岗位自动排序已升级，请重新开始'\n    };\n    patch.chatTransition = null;\n    patch.ui30AtomicSendSortMigration = true;\n  }\n  if (!current.ui31ConversationSelectionMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话选择与身份核对已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui31ConversationSelectionMigration = true;\n  }\n  if (!current.ui35ConversationKeyMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话锁已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui35ConversationKeyMigration = true;\n  }\n  if (!current.v130SingleValidationMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const alreadySuccessful = Number(current.stats?.sent || 0) > 0\n      || Number(baseConfig.singleJobValidationCompletedAt || 0) > 0;\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      requireSingleJobValidation: baseConfig.requireSingleJobValidation !== false,\n      singleJobValidationCompletedAt: alreadySuccessful\n        ? Number(baseConfig.singleJobValidationCompletedAt || Date.now())\n        : 0\n    };\n    patch.v130SingleValidationMigration = true;\n  }\n  if (Object.keys(patch).length) await storage.set(patch);\n  const { stats } = await storage.get('stats');\n  if (!stats || stats.date !== today()) {\n    await storage.set({ stats: { ...DEFAULTS.stats, date: today() } });\n  }\n  await refreshBossTabsForRuntimeVersion();\n  await chrome.sidePanel.setPanelBehavior({ openPanelOnActionClick: true }).catch(() => {});\n  chrome.alarms.create('jobclaw-tick', { periodInMinutes: 1 });\n}\n\nfunction publicState(all) {\n  const state = safeClone(all);\n  if (state?.config?.model) {\n    state.config.model.apiKey = state.config.model.apiKey ? '***' : '';\n  }\n  if (state?.resumeImage) state.resumeImage = '[已保存]';\n  if (state?.resumeSourceFile) {\n    const { name, type, size, lastModified } = state.resumeSourceFile;\n    state.resumeSourceFile = { name, type, size, lastModified, stored: true };\n  }\n  return state;\n}\n\nasync function writeEvent(level, message, data = {}) {\n  const { events = [] } = await storage.get('events');\n  const event = { id: crypto.randomUUID(), ts: Date.now(), level, message, data };\n  events.unshift(event);\n  await storage.set({ events: events.slice(0, 300) });\n  bridge('/sync', { event }).catch(() => {});\n  return event;\n}\n\nasync function patchWorkflow(patch) {\n  const { workflow } = await storage.get('workflow');\n  const next = { ...DEFAULTS.workflow, ...(workflow || {}), ...(patch || {}) };\n  await storage.set({ workflow: next });\n  return next;\n}\n\nasync function changeStats(delta = {}) {\n  const { stats } = await storage.get('stats');\n  const next = { ...DEFAULTS.stats, ...(stats || {}), date: today() };\n  for (const [key, value] of Object.entries(delta)) {\n    next[key] = Math.max(0, Number(next[key] || 0) + Number(value || 0));\n  }\n  await storage.set({ stats: next });\n  return next;\n}\n\n\nfunction runJobKey(job = {}) {\n  return String(job.jobId || job.encryptJobId || job.url || [job.title, job.company, job.location].filter(Boolean).join('|') || '').trim();\n}\n\nfunction normalizeTaskRun(input = {}, existing = {}) {\n  const now = Date.now();\n  const stage = String(input.stage || existing.stage || 'discovered');\n  const meta = taskStageMeta(stage, input.stageLabel, input.progress);\n  const status = String(input.status || existing.status || 'running');\n  const terminal = TERMINAL_RUN_STATUSES.has(status);\n  return {\n    ...existing,\n    ...input,\n    id: input.id || existing.id || crypto.randomUUID(),\n    jobKey: input.jobKey || existing.jobKey || runJobKey(input.job || existing.job || {}),\n    status,\n    stage,\n    stageLabel: meta.label,\n    progress: meta.progress,\n    createdAt: existing.createdAt || input.createdAt || now,\n    startedAt: existing.startedAt || input.startedAt || (status === 'running' ? now : null),\n    updatedAt: now,\n    completedAt: terminal ? (input.completedAt || existing.completedAt || now) : null,\n    retryCount: Math.max(0, Number(input.retryCount ?? existing.retryCount ?? 0)),\n    error: String(input.error ?? existing.error ?? ''),\n    retryable: input.retryable ?? existing.retryable ?? Boolean(input.pendingId || existing.pendingId)\n  };\n}\n\nasync function upsertTaskRun(patch = {}) {\n  const { taskRuns = [] } = await storage.get('taskRuns');\n  const jobKey = patch.jobKey || runJobKey(patch.job || {});\n  const index = taskRuns.findIndex(run => run.id === patch.id || (jobKey && run.jobKey === jobKey && !TERMINAL_RUN_STATUSES.has(run.status)));\n  const existing = index >= 0 ? taskRuns[index] : {};\n  const nextRun = normalizeTaskRun({ ...patch, jobKey }, existing);\n  const next = index >= 0\n    ? taskRuns.map((run, runIndex) => runIndex === index ? nextRun : run)\n    : [nextRun, ...taskRuns];\n  await storage.set({ taskRuns: next });\n  return nextRun;\n}\n\nasync function updateTaskRunByPending(pendingId, patch = {}) {\n  if (!pendingId) return null;\n  const { pending = [], taskRuns = [] } = await storage.get(['pending', 'taskRuns']);\n  const item = pending.find(entry => entry.id === pendingId);\n  const run = taskRuns.find(entry => entry.id === item?.runId || entry.pendingId === pendingId);\n  if (!run && !item) return null;\n  return upsertTaskRun({\n    id: run?.id || item?.runId,\n    pendingId,\n    job: item?.job || run?.job,\n    analysis: item?.analysis || run?.analysis,\n    searchTask: item?.task || run?.searchTask,\n    ...patch\n  });\n}\n\nasync function updateSearchTaskProgress(message = {}) {\n  const { workflow } = await storage.get('workflow');\n  const nextWorkflow = { ...DEFAULTS.workflow, ...(workflow || {}) };\n  const tasks = Array.isArray(nextWorkflow.tasks) ? [...nextWorkflow.tasks] : [];\n  const index = tasks.findIndex(task => task.id === message.taskId);\n  const fallbackIndex = Number.isInteger(message.taskIndex) ? message.taskIndex : -1;\n  const targetIndex = index >= 0 ? index : fallbackIndex;\n  if (targetIndex < 0 || targetIndex >= tasks.length) return null;\n  const current = tasks[targetIndex] || {};\n  const progress = Math.max(0, Math.min(100, Number(message.progress ?? current.progress ?? 0)));\n  tasks[targetIndex] = {\n    ...current,\n    status: message.status || current.status || 'pending',\n    stageLabel: message.stageLabel || current.stageLabel || '',\n    progress,\n    processed: Math.max(0, Number(message.processed ?? current.processed ?? 0)),\n    discovered: Math.max(0, Number(message.discovered ?? current.discovered ?? 0)),\n    analyzed: Math.max(0, Number(message.analyzed ?? current.analyzed ?? 0)),\n    failed: Math.max(0, Number(message.failed ?? current.failed ?? 0)),\n    updatedAt: Date.now(),\n    completedAt: message.status === 'completed' ? Date.now() : current.completedAt || null\n  };\n  nextWorkflow.tasks = tasks;\n  await storage.set({ workflow: nextWorkflow });\n  return tasks[targetIndex];\n}\n\nasync function retryFailedTask(runId) {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  if (run.status === 'success') throw new Error('该岗位已经投递成功，不会重复投递');\n  if (workflow.running && (workflow.activeRunId === run.id || workflow.pendingApplyId === run.pendingId)) {\n    throw new Error('该失败任务正在重试，请等待当前结果');\n  }\n  if (Number(run.retryRequestedAt || 0) > Date.now() - 15000) {\n    throw new Error('该任务刚刚提交过重试，请稍后查看结果');\n  }\n  let item = pending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n  if (!item && run.job && run.analysis) {\n    item = {\n      id: crypto.randomUUID(),\n      runId: run.id,\n      job: run.job,\n      analysis: run.analysis,\n      deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n      task: run.searchTask || {},\n      status: 'approved',\n      createdAt: Date.now(),\n      approvedAt: Date.now()\n    };\n  }\n  if (!item) throw new Error('该历史任务缺少岗位或招呼语信息，无法直接重试');\n  if (item.status === 'sent') throw new Error('该岗位已经投递成功，不会重复投递');\n  item = {\n    ...item,\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: 'approved', error: '', approvedAt: Date.now(), runId: run.id\n  };\n  const nextPending = pending.some(entry => entry.id === item.id)\n    ? pending.map(entry => entry.id === item.id ? item : entry)\n    : [item, ...pending];\n  await storage.set({ pending: rerankPending(nextPending) });\n  await upsertTaskRun({\n    id: run.id,\n    pendingId: item.id,\n    job: item.job,\n    analysis: item.analysis,\n    searchTask: item.task,\n    status: 'running',\n    stage: 'retry_queued',\n    progress: 66,\n    stageLabel: '等待重新投递',\n    error: '',\n    retryable: true,\n    retryCount: Number(run.retryCount || 0) + 1,\n    retryRequestedAt: Date.now(),\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `正在重新投递：${item.job?.title || '岗位'}`,\n    pendingApplyId: item.id,\n    activeRunId: run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n    setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  } catch (error) {\n    await upsertTaskRun({ id: run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '重新投递启动失败', error: error.message, retryable: true });\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '重新投递启动失败' });\n    throw error;\n  }\n  return { runId: run.id, pendingId: item.id };\n}\n\nasync function retryAllFailedTasks() {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  if (workflow.running && workflow.activeRunId) {\n    throw new Error('当前已有投递任务正在执行，请等待完成后再批量重试');\n  }\n  const failedRuns = taskRuns.filter(run => run.status === 'failed'\n    && run.retryable !== false\n    && Number(run.retryRequestedAt || 0) <= Date.now() - 15000);\n  if (!failedRuns.length) return { count: 0 };\n  const nextPending = [...pending];\n  const queue = [];\n  for (const run of failedRuns) {\n    if (run.status === 'success') continue;\n    let item = nextPending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n    if (!item && run.job && run.analysis) {\n      item = {\n        id: crypto.randomUUID(), runId: run.id, job: run.job, analysis: run.analysis,\n        deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n        task: run.searchTask || {}, createdAt: Date.now()\n      };\n      nextPending.unshift(item);\n    }\n    if (!item || item.status === 'sent') continue;\n    item.deliveryGreeting = String(item.deliveryGreeting || item.analysis?.greeting || '').trim();\n    item.status = queue.length ? 'approved_queue' : 'approved';\n    item.approvedAt = Date.now();\n    item.error = '';\n    const pendingIndex = nextPending.findIndex(entry => entry.id === item.id);\n    if (pendingIndex >= 0) nextPending[pendingIndex] = { ...item };\n    queue.push({ run, item });\n  }\n  if (!queue.length) return { count: 0 };\n  await storage.set({ pending: rerankPending(nextPending) });\n  for (const [index, entry] of queue.entries()) {\n    await upsertTaskRun({\n      id: entry.run.id,\n      pendingId: entry.item.id,\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'retry_queued',\n      progress: 66,\n      stageLabel: index === 0 ? '正在重新投递' : '等待重新投递',\n      error: '',\n      retryable: true,\n      retryCount: Number(entry.run.retryCount || 0) + 1,\n      retryRequestedAt: Date.now(),\n      completedAt: null\n    });\n  }\n  const first = queue[0];\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `重新投递 1/${queue.length}：${first.item.job?.title || '岗位'}`,\n    pendingApplyId: first.item.id,\n    activeRunId: first.run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n  } catch (error) {\n    for (const entry of queue) {\n      await upsertTaskRun({ id: entry.run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '批量重试启动失败', error: error.message, retryable: true });\n    }\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '批量重试启动失败' });\n    throw error;\n  }\n  return { count: queue.length };\n}\n\nasync function ignoreFailedTask(runId) {\n  const { taskRuns = [], pending = [] } = await storage.get(['taskRuns', 'pending']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  const nextPending = pending.map(entry => entry.id === run.pendingId || entry.runId === run.id\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: nextPending });\n  return upsertTaskRun({ id: run.id, status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\nconst BOSS_URL_PATTERN = /^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i;\nconst NO_RECEIVER_PATTERN = /Could not establish connection|Receiving end does not exist|message port closed|No tab with id/i;\nconst wait = ms => new Promise(resolve => setTimeout(resolve, ms));\n\nfunction receiverMatchesExpectedVersion(probe) {\n  return Boolean(probe?.ok && probe.contentVersion === EXPECTED_CONTENT_VERSION && probe.contentFile === CONTENT_SCRIPT_FILE);\n}\n\nasync function waitForTabReady(tabId, timeout = 16000) {\n  if (!chrome.tabs?.get) {\n    await wait(900);\n    return null;\n  }\n  const startedAt = Date.now();\n  while (Date.now() - startedAt < timeout) {\n    const tab = await chrome.tabs.get(tabId).catch(() => null);\n    if (tab?.status === 'complete') return tab;\n    await wait(180);\n  }\n  return chrome.tabs.get(tabId).catch(() => null);\n}\n\nasync function reloadBossTab(tab, reason = 'runtime-refresh') {\n  if (!tab?.id || !chrome.tabs?.reload) return tab;\n  await chrome.tabs.reload(tab.id, { bypassCache: true });\n  const ready = await waitForTabReady(tab.id);\n  await writeEvent('info', 'BOSS 页面助手已自动刷新', { reason, tabId: tab.id, contentVersion: EXPECTED_CONTENT_VERSION }).catch(() => {});\n  return ready || tab;\n}\n\nasync function refreshBossTabsForRuntimeVersion() {\n  const key = 'bossContentRuntimeVersion';\n  const current = await storage.get(key);\n  if (current?.[key] === EXPECTED_CONTENT_VERSION) return;\n  await storage.set({ [key]: EXPECTED_CONTENT_VERSION });\n  if (!chrome.tabs?.query || !chrome.tabs?.reload) return;\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] }).catch(() => []);\n  for (const tab of tabs || []) {\n    if (!tab?.id) continue;\n    await chrome.tabs.reload(tab.id, { bypassCache: true }).catch(() => {});\n  }\n}\n\nasync function activeBossTab() {\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] });\n  return tabs.find(tab => tab.active) || tabs[0] || null;\n}\n\nfunction bossConnectionError(error) {\n  const message = String(error?.message || error || '');\n  if (NO_RECEIVER_PATTERN.test(message)) {\n    return 'BOSS 页面连接尚未就绪，JobClaw 已尝试自动修复。请刷新当前 BOSS 页面后再点一次开始。';\n  }\n  if (/Cannot access contents of url|The extensions gallery cannot be scripted|Missing host permission/i.test(message)) {\n    return '当前页面无法接入 JobClaw。请确认打开的是 BOSS 直聘岗位页或沟通页。';\n  }\n  return message || 'BOSS 页面连接失败';\n}\n\nasync function probeBossReceiver(tab) {\n  return chrome.tabs.sendMessage(tab.id, { type: 'PROBE', expectedContentVersion: EXPECTED_CONTENT_VERSION });\n}\n\nasync function injectBossContent(tab) {\n  if (!chrome.scripting?.executeScript) throw new Error('扩展缺少页面注入能力，请重新加载最新版 JobClaw');\n  await chrome.scripting.executeScript({\n    target: { tabId: tab.id },\n    files: [CONTENT_SCRIPT_FILE]\n  });\n}\n\nasync function ensureBossReceiver(tab) {\n  if (!tab?.id) throw new Error('请先打开并登录 BOSS 直聘');\n  if (!BOSS_URL_PATTERN.test(String(tab.url || ''))) {\n    throw new Error('请切换到 BOSS 直聘岗位页或沟通页');\n  }\n\n  let probe = null;\n  try {\n    probe = await probeBossReceiver(tab);\n    if (receiverMatchesExpectedVersion(probe)) return probe;\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n  }\n\n  // 能收到响应但版本不一致，说明当前标签页仍保留旧内容脚本。必须整页刷新，\n  // 不能继续在同一页面叠加注入，否则旧 RUN 监听器仍可能执行。\n  if (probe?.ok && !receiverMatchesExpectedVersion(probe)) {\n    tab = await reloadBossTab(tab, `stale-${probe.contentVersion || 'legacy'}`);\n  }\n\n  for (let attempt = 0; attempt < 5; attempt += 1) {\n    await wait(180 + attempt * 140);\n    try {\n      const currentProbe = await probeBossReceiver(tab);\n      if (receiverMatchesExpectedVersion(currentProbe)) return currentProbe;\n      if (currentProbe?.ok && !receiverMatchesExpectedVersion(currentProbe) && attempt === 0) {\n        tab = await reloadBossTab(tab, `mismatch-${currentProbe.contentVersion || 'legacy'}`);\n      }\n    } catch (error) {\n      if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n        throw new Error(bossConnectionError(error));\n      }\n      if (attempt === 1) {\n        try { await injectBossContent(tab); } catch (injectError) { throw new Error(bossConnectionError(injectError)); }\n      }\n    }\n  }\n  throw new Error(`BOSS 页面助手版本未就绪（需要 ${EXPECTED_CONTENT_VERSION}）。JobClaw 已自动刷新页面，请再点一次开始。`);\n}\n\nasync function sendToBossTab(tab, message) {\n  await ensureBossReceiver(tab);\n  try {\n    return await chrome.tabs.sendMessage(tab.id, message);\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n    tab = await reloadBossTab(tab, 'message-receiver-lost');\n    await ensureBossReceiver(tab);\n    try {\n      return await chrome.tabs.sendMessage(tab.id, message);\n    } catch (retryError) {\n      throw new Error(bossConnectionError(retryError));\n    }\n  }\n}\n\nasync function sendToBoss(message) {\n  const tab = await activeBossTab();\n  if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n  return sendToBossTab(tab, message);\n}\n\nasync function bridge(path, body) {\n  const failures = [];\n  const timeoutMs = path === '/parse-resume' ? 190000 : 8000;\n  for (const base of BRIDGE_ENDPOINTS) {\n    const controller = new AbortController();\n    const timeout = setTimeout(() => controller.abort(), timeoutMs);\n    try {\n      const response = await fetch(`${base}${path}`, {\n        method: body ? 'POST' : 'GET',\n        headers: { 'Content-Type': 'application/json' },\n        body: body ? JSON.stringify(body) : undefined,\n        cache: 'no-store',\n        credentials: 'omit',\n        signal: controller.signal\n      });\n      const payload = await response.json().catch(() => ({}));\n      if (!response.ok) throw new Error(payload.error || `增强识别组件返回 HTTP ${response.status}`);\n      return payload;\n    } catch (error) {\n      failures.push(error?.name === 'AbortError' ? '连接超时' : String(error?.message || error));\n    } finally {\n      clearTimeout(timeout);\n    }\n  }\n  const detail = failures.find(message => message && message !== 'Failed to fetch');\n  throw new Error(detail || '增强识别组件未启动');\n}\n\nfunction extractJson(raw) {\n  let text = String(raw || '').trim()\n    .replace(/^```(?:json)?/i, '')\n    .replace(/```$/i, '')\n    .trim();\n  const start = text.indexOf('{');\n  const end = text.lastIndexOf('}');\n  if (start >= 0 && end > start) text = text.slice(start, end + 1);\n  text = text.replace(/,\\s*([}\\]])/g, '$1');\n  return JSON.parse(text);\n}\n\nfunction aiError(code, message, details = {}) {\n  const error = new Error(message);\n  error.code = code;\n  Object.assign(error, details);\n  return error;\n}\n\nfunction aiFailureKind(error) {\n  const code = String(error?.code || '');\n  const message = String(error?.message || '');\n  if (code === 'AI_CONFIG' || /API Key|未配置|401|unauthorized/i.test(message)) return 'config-missing';\n  if (['AI_NETWORK', 'AI_HTTP', 'AI_TIMEOUT'].includes(code) || /HTTP|fetch|网络|超时|服务不可用/i.test(message)) return 'service-error';\n  return 'output-invalid';\n}\n\nfunction isRetryableAiOutputError(error) {\n  return ['AI_TRUNCATED', 'AI_EMPTY', 'AI_INVALID_JSON', 'AI_PROFILE_INCOMPLETE'].includes(String(error?.code || ''));\n}\n\nasync function requestModel(url, payload, apiKey, timeoutMs = 90000) {\n  const controller = new AbortController();\n  const timer = setTimeout(() => controller.abort(), timeoutMs);\n  try {\n    return await fetch(url, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${apiKey}`\n      },\n      body: JSON.stringify(payload),\n      signal: controller.signal\n    });\n  } catch (error) {\n    if (error?.name === 'AbortError') throw aiError('AI_TIMEOUT', 'AI 请求超时');\n    throw aiError('AI_NETWORK', `AI 网络请求失败：${error?.message || '连接异常'}`);\n  } finally {\n    clearTimeout(timer);\n  }\n}\n\nasync function callModel(messages, jsonMode = true, options = {}) {\n  const { config } = await storage.get('config');\n  const model = config?.model || {};\n  if (!model.apiKey) throw aiError('AI_CONFIG', '请先在设置页填写 AI API Key');\n  const url = `${String(model.baseUrl || 'https://api.deepseek.com').replace(/\\/$/, '')}/chat/completions`;\n  const payload = {\n    model: model.model || 'deepseek-v4-pro',\n    messages,\n    temperature: Number(options.temperature ?? model.temperature ?? 0.1),\n    max_tokens: Number(options.maxTokens ?? 2800)\n  };\n  if (jsonMode) payload.response_format = { type: 'json_object' };\n\n  let response = await requestModel(url, payload, model.apiKey, Number(options.timeoutMs || 90000));\n  let bodyText = await response.text();\n\n  // 某些兼容网关不支持 response_format，但仍能正常返回 JSON 文本。\n  if (!response.ok && jsonMode && [400, 404, 422].includes(response.status) && /response[_ -]?format|json_object|unsupported/i.test(bodyText)) {\n    const retryPayload = { ...payload };\n    delete retryPayload.response_format;\n    response = await requestModel(url, retryPayload, model.apiKey, Number(options.timeoutMs || 90000));\n    bodyText = await response.text();\n  }\n\n  if (!response.ok) {\n    throw aiError('AI_HTTP', `AI 请求失败 HTTP ${response.status}: ${bodyText.substring(0, 500)}`, { status: response.status });\n  }\n\n  let result;\n  try {\n    result = JSON.parse(bodyText);\n  } catch {\n    throw aiError('AI_INVALID_RESPONSE', 'AI 接口返回了无法识别的响应');\n  }\n  const choice = result.choices?.[0];\n  const content = String(choice?.message?.content || '').trim();\n  if (!content) throw aiError('AI_EMPTY', 'AI 返回为空');\n  if (choice.finish_reason === 'length') {\n    throw aiError('AI_TRUNCATED', 'AI 输出被截断', { finishReason: choice.finish_reason, partial: content });\n  }\n  if (!jsonMode) return content;\n  try {\n    return extractJson(content);\n  } catch (error) {\n    throw aiError('AI_INVALID_JSON', `AI 返回 JSON 不完整：${error?.message || '解析失败'}`, { partial: content });\n  }\n}\n\nfunction cleanResumeText(value) {\n  return String(value || '')\n    .replace(/\\r/g, '\\n')\n    .replace(/[\\u0000-\\u0008\\u000B\\u000C\\u000E-\\u001F]/g, ' ')\n    .replace(/[ \\t]+/g, ' ')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .trim();\n}\n\nfunction lineMatches(text, pattern, limit = 6) {\n  return uniq(cleanResumeText(text)\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length >= 4 && line.length <= 180 && pattern.test(line)))\n    .slice(0, limit);\n}\n\nfunction extractSkills(text) {\n  const source = cleanResumeText(text);\n  const catalog = [\n    ['JavaScript', /\\bjavascript\\b|\\bjs\\b/i],\n    ['TypeScript', /\\btypescript\\b|\\bts\\b/i],\n    ['HTML', /\\bhtml5?\\b/i],\n    ['CSS', /\\bcss3?\\b|sass|less/i],\n    ['Vue', /\\bvue(?:\\.js|3|2)?\\b/i],\n    ['React', /\\breact(?:\\.js)?\\b/i],\n    ['Next.js', /\\bnext\\.?js\\b/i],\n    ['Node.js', /\\bnode\\.?js\\b/i],\n    ['Express', /\\bexpress\\b/i],\n    ['Vite', /\\bvite\\b/i],\n    ['Webpack', /\\bwebpack\\b/i],\n    ['Tailwind CSS', /\\btailwind\\b/i],\n    ['ECharts', /\\becharts\\b/i],\n    ['D3.js', /\\bd3(?:\\.js)?\\b/i],\n    ['Tauri', /\\btauri\\b/i],\n    ['Electron', /\\belectron\\b/i],\n    ['Chrome Extension', /chrome\\s*(?:extension|扩展)|浏览器扩展/i],\n    ['Python', /\\bpython\\b/i],\n    ['Java', /\\bjava\\b/i],\n    ['C/C++', /\\bc\\+\\+\\b|\\bc语言\\b/i],\n    ['Go', /\\bgolang\\b|\\bgo语言\\b/i],\n    ['SQL', /\\bsql\\b/i],\n    ['MySQL', /\\bmysql\\b/i],\n    ['PostgreSQL', /\\bpostgres(?:ql)?\\b/i],\n    ['Redis', /\\bredis\\b/i],\n    ['Spring Boot', /spring\\s*boot/i],\n    ['Flask', /\\bflask\\b/i],\n    ['Django', /\\bdjango\\b/i],\n    ['FastAPI', /\\bfastapi\\b/i],\n    ['Git', /\\bgit\\b|github/i],\n    ['Docker', /\\bdocker\\b/i],\n    ['Linux', /\\blinux\\b/i],\n    ['Playwright', /\\bplaywright\\b/i],\n    ['Selenium', /\\bselenium\\b/i],\n    ['PyTorch', /\\bpytorch\\b/i],\n    ['TensorFlow', /\\btensorflow\\b/i],\n    ['OpenCV', /\\bopencv\\b/i],\n    ['RAG', /\\brag\\b|检索增强生成/i],\n    ['LLM', /\\bllm\\b|大语言模型|语言模型/i],\n    ['AI Agent', /ai\\s*agent|智能体/i],\n    ['OCR', /\\bocr\\b|文字识别/i],\n    ['数据可视化', /数据可视化|可视化看板/i]\n  ];\n  return catalog.filter(([, pattern]) => pattern.test(source)).map(([name]) => name).slice(0, 40);\n}\n\nfunction extractDegree(text) {\n  const source = cleanResumeText(text);\n  if (/博士|ph\\.?d/i.test(source)) return '博士';\n  if (/硕士|研究生|master/i.test(source)) return '硕士';\n  if (/本科|学士|bachelor/i.test(source)) return '本科';\n  if (/大专|专科|associate/i.test(source)) return '大专';\n  return '不限';\n}\n\nfunction extractLocations(text) {\n  const source = cleanResumeText(text);\n  const cities = ['北京','上海','广州','深圳','杭州','成都','西安','南京','武汉','苏州','重庆','天津','长沙','郑州','青岛','厦门','合肥','济南','宁波','东莞','珠海','佛山','无锡','兰州','太原','南阳','东京','大阪'];\n  return cities.filter(city => source.includes(city)).slice(0, 6);\n}\n\nfunction extractExplicitDirections(text) {\n  const source = cleanResumeText(text);\n  const matches = [];\n  const pattern = /(?:求职意向|求职方向|目标岗位|意向岗位|应聘岗位|期望职位)\\s*[:：]?\\s*([^\\n]{2,100})/ig;\n  let match;\n  while ((match = pattern.exec(source)) && matches.length < 3) {\n    matches.push(...String(match[1] || '').split(/[，,、/|]/).map(item => item.trim()).filter(item => item.length >= 2 && item.length <= 28));\n  }\n  return uniq(matches).slice(0, 3);\n}\n\nfunction inferDirections(text, skills) {\n  const source = cleanResumeText(text);\n  const explicit = extractExplicitDirections(source);\n  if (explicit.length) return explicit;\n  const directions = [];\n  const has = name => skills.includes(name);\n  const internship = /实习|在校|应届|校招/i.test(source);\n  if (/前端|web前端|网页开发/i.test(source) || ['JavaScript','TypeScript','Vue','React','HTML','CSS'].some(has)) {\n    directions.push(internship ? '前端开发实习生' : '前端开发工程师');\n  }\n  if (/全栈/i.test(source) || ((has('React') || has('Vue')) && (has('Node.js') || has('Java') || has('Python')))) {\n    directions.push(internship ? '全栈开发实习生' : '全栈开发工程师');\n  }\n  if (/ai应用|人工智能应用|智能体|rag|大模型|llm/i.test(source) || ['RAG','LLM','AI Agent'].some(has)) {\n    directions.push(internship ? 'AI 应用开发实习生' : 'AI 应用开发工程师');\n  }\n  if (/数据可视化|echarts|d3/i.test(source) || has('数据可视化') || has('ECharts') || has('D3.js')) {\n    directions.push('数据可视化开发工程师');\n  }\n  if (/后端|服务端/i.test(source) || ['Spring Boot','Java','Node.js','Python','Go'].filter(has).length >= 2) {\n    directions.push(internship ? '后端开发实习生' : '后端开发工程师');\n  }\n  if (!directions.length) directions.push(internship ? '软件开发实习生' : '软件开发工程师');\n  return uniq(directions).slice(0, 3);\n}\n\nfunction buildSearchKeywords(directions, skills) {\n  const keywords = [...directions];\n  const joined = directions.join(' ');\n  if (/前端/.test(joined)) {\n    keywords.push('前端开发', 'Web 前端', 'JavaScript 开发');\n    if (skills.includes('React')) keywords.push('React 开发');\n    if (skills.includes('Vue')) keywords.push('Vue 开发');\n    if (skills.includes('TypeScript')) keywords.push('TypeScript 前端');\n  }\n  if (/全栈/.test(joined)) keywords.push('全栈开发', 'Web 全栈');\n  if (/AI 应用/.test(joined)) {\n    keywords.push('AI 应用开发');\n    if (skills.includes('RAG')) keywords.push('RAG 应用开发');\n    if (skills.includes('AI Agent')) keywords.push('AI Agent 开发');\n  }\n  if (/数据可视化/.test(joined)) keywords.push('数据可视化', '可视化前端');\n  if (/后端/.test(joined)) keywords.push('后端开发', '服务端开发');\n  return uniq(keywords).slice(0, 12);\n}\n\nfunction explainProfileFallbackReason(reason = '', kind = '') {\n  const message = String(reason || '').trim();\n  const resolvedKind = kind || aiFailureKind({ message });\n  if (!message) return '';\n  if (resolvedKind === 'config-missing') {\n    return 'AI 尚未配置；本次未调用 AI，当前初稿全部来自本地规则。';\n  }\n  if (resolvedKind === 'service-error') {\n    return 'AI 请求没有成功；本次画像未使用 AI，当前初稿全部来自本地规则。';\n  }\n  return 'AI 连接可用，但返回内容未通过完整性校验；系统已自动精简重试，仍未成功，因此本次初稿全部来自本地规则。';\n}\n\nfunction validateGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  const directions = normalizeStringList(profile.primaryDirections, 3);\n  const keywords = normalizeStringList(profile.searchKeywords, 12);\n  const summary = String(profile.summary || '').trim();\n  if (!directions.length || !keywords.length || summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.facts || typeof profile.facts !== 'object' || Array.isArray(profile.facts)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.hardConstraints || typeof profile.hardConstraints !== 'object' || Array.isArray(profile.hardConstraints)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  return profile;\n}\n\nfunction validateCompactGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  const normalized = {\n    summary: String(profile.summary || '').trim(),\n    primaryDirections: normalizeStringList(profile.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile.searchKeywords, 12),\n    skills: normalizeStringList(profile.skills, 30),\n    locations: normalizeStringList(profile.locations, 20),\n    employmentTypes: normalizeStringList(profile.employmentTypes, 10),\n    salary: String(profile.salary || '').trim(),\n    experience: String(profile.experience || '').trim(),\n    degree: String(profile.degree || '').trim(),\n    excludeDirections: normalizeStringList(profile.excludeDirections, 20)\n  };\n  if (!normalized.primaryDirections.length || !normalized.searchKeywords.length || normalized.summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  return normalized;\n}\n\nfunction buildLocalProfile(resumeText, reason = '', failureKind = '') {\n  const text = cleanResumeText(resumeText);\n  if (text.length < 30) throw new Error('简历内容太少，暂时无法生成职业画像');\n  const skills = extractSkills(text);\n  const primaryDirections = inferDirections(text, skills);\n  const searchKeywords = buildSearchKeywords(primaryDirections, skills);\n  const degree = extractDegree(text);\n  const locations = extractLocations(text);\n  const internship = /实习|在校|应届|校招/i.test(text);\n  const employmentTypes = internship ? ['实习', '校招'] : ['全职'];\n  const experience = internship ? '在校/应届' : '按岗位要求匹配';\n  const topSkills = skills.slice(0, 7);\n  const summaryParts = [];\n  if (degree !== '不限') summaryParts.push(`${degree}${internship ? '在读或应届' : '背景'}`);\n  if (topSkills.length) summaryParts.push(`具备 ${topSkills.join('、')} 等技能或项目经验`);\n  summaryParts.push(`主要关注 ${primaryDirections.join('、')} 方向`);\n\n  const education = lineMatches(text, /大学|学院|本科|硕士|博士|教育经历|专业/i, 6);\n  const experiences = lineMatches(text, /实习|工作经历|公司|负责|任职|助理|工程师/i, 8);\n  const projects = lineMatches(text, /项目|系统|平台|工作台|GitHub|开发|实现|搭建|设计/i, 10);\n  const certificates = lineMatches(text, /证书|CET|英语六级|英语四级|资格|获奖|奖项/i, 6);\n  const resolvedKind = failureKind || (reason ? aiFailureKind({ message: reason }) : 'not-requested');\n\n  return normalizeProfile({\n    facts: { education, experiences, projects, skills, certificates },\n    primaryDirections: primaryDirections.map(name => ({ name, confidence: 0.72, evidence: ['根据简历中的技能、项目和求职阶段生成'] })),\n    secondaryDirections: [],\n    searchKeywords,\n    hardConstraints: {\n      locations,\n      employmentTypes,\n      salary: '不限',\n      experience,\n      degree\n    },\n    excludeDirections: [],\n    summary: `${summaryParts.join('，')}。`,\n    generation: {\n      mode: 'local-fallback',\n      label: '本地规则初稿',\n      aiStatus: resolvedKind,\n      warning: explainProfileFallbackReason(reason, resolvedKind),\n      technicalReason: String(reason || ''),\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction mergeProfileWithFallback(aiProfile, fallbackProfile, generation = null) {\n  const ai = aiProfile && typeof aiProfile === 'object' ? aiProfile : {};\n  const aiFacts = ai.facts && typeof ai.facts === 'object' ? ai.facts : {};\n  const fallbackFacts = fallbackProfile.facts || {};\n  const hard = ai.hardConstraints && typeof ai.hardConstraints === 'object' ? ai.hardConstraints : {};\n  const fallbackHard = fallbackProfile.hardConstraints || {};\n  return normalizeProfile({\n    ...fallbackProfile,\n    ...ai,\n    facts: {\n      ...fallbackFacts,\n      ...aiFacts,\n      education: Array.isArray(aiFacts.education) && aiFacts.education.length ? aiFacts.education : fallbackFacts.education,\n      experiences: Array.isArray(aiFacts.experiences) && aiFacts.experiences.length ? aiFacts.experiences : fallbackFacts.experiences,\n      projects: Array.isArray(aiFacts.projects) && aiFacts.projects.length ? aiFacts.projects : fallbackFacts.projects,\n      skills: normalizeStringList(aiFacts.skills).length ? aiFacts.skills : fallbackFacts.skills,\n      certificates: Array.isArray(aiFacts.certificates) && aiFacts.certificates.length ? aiFacts.certificates : fallbackFacts.certificates\n    },\n    primaryDirections: normalizeStringList(ai.primaryDirections, 3).length ? ai.primaryDirections : fallbackProfile.primaryDirections,\n    searchKeywords: normalizeStringList(ai.searchKeywords, 12).length ? ai.searchKeywords : fallbackProfile.searchKeywords,\n    hardConstraints: {\n      ...fallbackHard,\n      ...hard,\n      locations: normalizeStringList(hard.locations).length ? hard.locations : fallbackHard.locations,\n      employmentTypes: normalizeStringList(hard.employmentTypes).length ? hard.employmentTypes : fallbackHard.employmentTypes,\n      salary: String(hard.salary || fallbackHard.salary || '不限'),\n      experience: String(hard.experience || fallbackHard.experience || ''),\n      degree: String(hard.degree || fallbackHard.degree || '不限')\n    },\n    summary: String(ai.summary || fallbackProfile.summary),\n    generation: generation || {\n      mode: 'ai-assisted',\n      label: 'AI 完整画像',\n      aiStatus: 'success',\n      warning: 'AI 返回的完整 JSON 已通过校验；仅对可选空字段使用本地规则补齐。',\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction compactProfileToFull(compact, fallback) {\n  return {\n    facts: {\n      ...(fallback.facts || {}),\n      skills: compact.skills.length ? compact.skills : fallback.facts?.skills || []\n    },\n    primaryDirections: compact.primaryDirections,\n    secondaryDirections: [],\n    searchKeywords: compact.searchKeywords,\n    hardConstraints: {\n      ...(fallback.hardConstraints || {}),\n      locations: compact.locations.length ? compact.locations : fallback.hardConstraints?.locations || [],\n      employmentTypes: compact.employmentTypes.length ? compact.employmentTypes : fallback.hardConstraints?.employmentTypes || [],\n      salary: compact.salary || fallback.hardConstraints?.salary || '不限',\n      experience: compact.experience || fallback.hardConstraints?.experience || '',\n      degree: compact.degree || fallback.hardConstraints?.degree || '不限'\n    },\n    excludeDirections: compact.excludeDirections,\n    summary: compact.summary\n  };\n}\n\nasync function buildProfile(resumeText) {\n  const text = cleanResumeText(resumeText);\n  const fallback = buildLocalProfile(text);\n  const schema = '{\"facts\":{\"education\":[],\"experiences\":[],\"projects\":[],\"skills\":[],\"certificates\":[]},\"primaryDirections\":[{\"name\":\"\",\"confidence\":0,\"evidence\":[]}],\"secondaryDirections\":[],\"searchKeywords\":[],\"hardConstraints\":{\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\"},\"excludeDirections\":[],\"summary\":\"\"}';\n  let firstError = null;\n  try {\n    const profile = validateGeneratedProfile(await callModel([\n      {\n        role: 'system',\n        content: `你是严格的职业画像分析器。只能使用简历真实事实，不能根据项目业务场景推断用户职业。主方向最多3个，搜索词必须是真实岗位名称。数组必须精简，教育/经历/项目各最多4条，每条不超过80字，技能最多15个，摘要不超过180字。即使信息不完整，也必须给出可编辑初稿，禁止返回空内容。输出严格 JSON：${schema}`\n      },\n      { role: 'user', content: text.slice(0, 22000) }\n    ], true, { maxTokens: 4200, temperature: 0.05 }));\n    return mergeProfileWithFallback(profile, fallback);\n  } catch (error) {\n    firstError = error;\n  }\n\n  // 连接正常但完整画像输出过长、JSON 不完整或字段校验失败时，自动改用精简结构重试。\n  if (isRetryableAiOutputError(firstError)) {\n    const compactSchema = '{\"summary\":\"\",\"primaryDirections\":[],\"searchKeywords\":[],\"skills\":[],\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\",\"excludeDirections\":[]}';\n    try {\n      const compact = validateCompactGeneratedProfile(await callModel([\n        {\n          role: 'system',\n          content: `你是求职职业画像分析器。只使用简历事实。请输出极简 JSON，不要解释，不要证据长句。摘要120字以内；主方向最多3个；搜索词最多10个；技能最多12个；其余字段简短。输出结构：${compactSchema}`\n        },\n        { role: 'user', content: text.slice(0, 18000) }\n      ], true, { maxTokens: 2200, temperature: 0.05 }));\n      return mergeProfileWithFallback(compactProfileToFull(compact, fallback), fallback, {\n        mode: 'ai-compact-retry',\n        label: 'AI 精简重试结果',\n        aiStatus: 'success-after-retry',\n        warning: 'AI 连接正常。首次完整画像输出未完成，系统已自动精简重试并成功采用 AI 结果。',\n        technicalReason: String(firstError?.message || ''),\n        generatedAt: Date.now()\n      });\n    } catch (retryError) {\n      const combined = `${firstError?.message || 'AI 首次输出未通过'}；精简重试：${retryError?.message || '失败'}`;\n      return buildLocalProfile(text, combined, aiFailureKind(firstError));\n    }\n  }\n\n  return buildLocalProfile(text, firstError?.message || 'AI 生成失败', aiFailureKind(firstError));\n}\n\n\nfunction normalizeStringList(value, limit = 30) {\n  const values = Array.isArray(value) ? value : String(value || '').split(/[，,\\n]/);\n  return uniq(values.map(item => typeof item === 'string' ? item.trim() : String(item?.name || item?.title || '').trim()))\n    .filter(Boolean)\n    .slice(0, limit);\n}\n\nfunction normalizeDirections(value, existing = []) {\n  const previous = new Map((Array.isArray(existing) ? existing : []).map(item => {\n    const name = typeof item === 'string' ? item : item?.name;\n    return [String(name || '').trim(), item];\n  }));\n  return normalizeStringList(value, 3).map(name => {\n    const old = previous.get(name);\n    if (old && typeof old === 'object') return { ...old, name };\n    return { name, confidence: 1, evidence: ['用户手动编辑'] };\n  });\n}\n\nfunction normalizeProfile(incoming, current = null) {\n  const base = current && typeof current === 'object' ? current : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const profile = {\n    ...base,\n    ...next,\n    facts: {\n      education: [], experiences: [], projects: [], skills: [], certificates: [],\n      ...(base.facts || {}),\n      ...(next.facts || {}),\n      skills: normalizeStringList(next.facts?.skills ?? base.facts?.skills, 40)\n    },\n    primaryDirections: normalizeDirections(next.primaryDirections ?? base.primaryDirections, base.primaryDirections),\n    secondaryDirections: normalizeStringList(next.secondaryDirections ?? base.secondaryDirections, 10),\n    searchKeywords: normalizeStringList(next.searchKeywords ?? base.searchKeywords, 12),\n    excludeDirections: normalizeStringList(next.excludeDirections ?? base.excludeDirections, 20),\n    hardConstraints: {\n      locations: [], employmentTypes: [], salary: '', experience: '', degree: '',\n      ...(base.hardConstraints || {}),\n      ...(next.hardConstraints || {})\n    },\n    summary: String(next.summary ?? base.summary ?? '').trim(),\n    editedAt: Date.now()\n  };\n  profile.hardConstraints.locations = normalizeStringList(profile.hardConstraints.locations, 20);\n  profile.hardConstraints.employmentTypes = normalizeStringList(profile.hardConstraints.employmentTypes, 10);\n  profile.hardConstraints.salary = String(profile.hardConstraints.salary || '').trim();\n  profile.hardConstraints.experience = String(profile.hardConstraints.experience || '').trim();\n  profile.hardConstraints.degree = String(profile.hardConstraints.degree || '').trim();\n  if (!profile.primaryDirections.length) throw new Error('职业画像至少需要一个主方向');\n  if (!profile.searchKeywords.length) throw new Error('职业画像至少需要一个岗位搜索词');\n  return profile;\n}\n\n\nfunction profileHasCore(profile) {\n  return Boolean(\n    normalizeStringList(profile?.primaryDirections, 3).length &&\n    normalizeStringList(profile?.searchKeywords, 12).length\n  );\n}\n\nfunction normalizeProfileDraft(incoming, fallback = null) {\n  const base = fallback && typeof fallback === 'object' ? fallback : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const chooseList = (key, limit = 30) => Object.prototype.hasOwnProperty.call(next, key)\n    ? normalizeStringList(next[key], limit)\n    : normalizeStringList(base[key], limit);\n  const chooseText = key => Object.prototype.hasOwnProperty.call(next, key)\n    ? String(next[key] || '').trim()\n    : String(base[key] || '').trim();\n  return {\n    summary: chooseText('summary'),\n    primaryDirections: chooseList('primaryDirections', 3),\n    searchKeywords: chooseList('searchKeywords', 12),\n    skills: chooseList('skills', 40),\n    locations: chooseList('locations', 20),\n    employmentTypes: chooseList('employmentTypes', 10),\n    experience: chooseText('experience'),\n    degree: chooseText('degree'),\n    salary: chooseText('salary'),\n    excludeDirections: chooseList('excludeDirections', 20),\n    source: String(next.source || base.source || 'draft'),\n    updatedAt: Number(next.updatedAt || Date.now())\n  };\n}\n\nfunction profileDraftHasCore(draft) {\n  return Boolean(\n    normalizeStringList(draft?.primaryDirections, 3).length &&\n    normalizeStringList(draft?.searchKeywords, 12).length\n  );\n}\n\nfunction profileDraftHasAny(draft) {\n  if (!draft || typeof draft !== 'object') return false;\n  return Boolean(\n    String(draft.summary || '').trim() ||\n    normalizeStringList(draft.primaryDirections).length ||\n    normalizeStringList(draft.searchKeywords).length ||\n    normalizeStringList(draft.skills).length ||\n    normalizeStringList(draft.locations).length ||\n    normalizeStringList(draft.employmentTypes).length ||\n    String(draft.experience || '').trim() ||\n    String(draft.degree || '').trim() ||\n    String(draft.salary || '').trim() ||\n    normalizeStringList(draft.excludeDirections).length\n  );\n}\n\nfunction profileToDraft(profile, source = 'generated') {\n  const hard = profile?.hardConstraints || {};\n  return normalizeProfileDraft({\n    summary: profile?.summary || '',\n    primaryDirections: normalizeStringList(profile?.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile?.searchKeywords, 12),\n    skills: normalizeStringList(profile?.facts?.skills, 40),\n    locations: normalizeStringList(hard.locations, 20),\n    employmentTypes: normalizeStringList(hard.employmentTypes, 10),\n    experience: hard.experience || '',\n    degree: hard.degree || '',\n    salary: hard.salary || '',\n    excludeDirections: normalizeStringList(profile?.excludeDirections, 20),\n    source,\n    updatedAt: Date.now()\n  });\n}\n\nfunction profileFromDraft(draft, currentProfile = null) {\n  const normalized = normalizeProfileDraft(draft);\n  return normalizeProfile({\n    ...(currentProfile || {}),\n    summary: normalized.summary,\n    primaryDirections: normalized.primaryDirections,\n    searchKeywords: normalized.searchKeywords,\n    excludeDirections: normalized.excludeDirections,\n    facts: {\n      ...(currentProfile?.facts || {}),\n      skills: normalized.skills\n    },\n    hardConstraints: {\n      ...(currentProfile?.hardConstraints || {}),\n      locations: normalized.locations,\n      employmentTypes: normalized.employmentTypes,\n      experience: normalized.experience,\n      degree: normalized.degree,\n      salary: normalized.salary\n    }\n  }, currentProfile);\n}\n\n\nfunction clampNumber(value, min, max, fallback = min) {\n  const number = Number(value);\n  return Number.isFinite(number) ? Math.max(min, Math.min(max, number)) : fallback;\n}\n\nfunction normalizeDirectionKey(value) {\n  return String(value || '')\n    .toLowerCase()\n    .replace(/实习生|工程师|开发|岗位|职位|校招|社招|应届/g, '')\n    .replace(/[\\s,，/\\\\|·•()（）【】\\[\\]_-]+/g, '')\n    .trim();\n}\n\nfunction stableDirectionId(name, source = 'profile') {\n  const input = `${source}:${normalizeDirectionKey(name) || String(name || '').trim().toLowerCase()}`;\n  let hash = 2166136261;\n  for (let index = 0; index < input.length; index += 1) {\n    hash ^= input.charCodeAt(index);\n    hash = Math.imul(hash, 16777619);\n  }\n  return `direction_${(hash >>> 0).toString(36)}`;\n}\n\nconst DIRECTION_PRESETS = [\n  {\n    test: /前端|web|react|vue|javascript|typescript/i,\n    keywords: ['前端开发实习生', 'Web前端实习生', 'React开发实习生', 'Vue开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'HTML', 'CSS', 'React', 'Vue', 'Next.js', 'Vite', 'Webpack'],\n    gapSkills: ['工程化', '性能优化', '组件库']\n  },\n  {\n    test: /ai应用|人工智能应用|大模型|agent|rag|llm/i,\n    keywords: ['AI应用开发实习生', 'AI Agent实习生', 'RAG应用开发实习生', '大模型应用开发实习生'],\n    relevantSkills: ['AI Agent', 'RAG', 'Python', 'TypeScript', 'React', 'Node.js', 'OCR'],\n    gapSkills: ['Python', '模型评测', '向量数据库']\n  },\n  {\n    test: /全栈|full.?stack|前后端/i,\n    keywords: ['全栈开发实习生', 'Web全栈实习生', '前后端开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'React', 'Vue', 'Node.js', 'Express', 'MySQL'],\n    gapSkills: ['后端接口', '数据库', '部署运维']\n  },\n  {\n    test: /开发者工具|研发工具|桌面端|tauri|electron|工具开发/i,\n    keywords: ['开发者工具实习生', '研发工具开发实习生', '桌面端开发实习生', '平台工具开发实习生'],\n    relevantSkills: ['Tauri', 'Electron', 'TypeScript', 'React', 'Rust', 'Node.js', 'OCR'],\n    gapSkills: ['跨平台工程化', '桌面端发布', '系统 API']\n  },\n  {\n    test: /数据可视化|可视化|echarts|大屏/i,\n    keywords: ['数据可视化实习生', '前端可视化实习生', 'ECharts开发实习生'],\n    relevantSkills: ['ECharts', 'JavaScript', 'TypeScript', 'React', 'Vue', '数据处理'],\n    gapSkills: ['图形性能优化', '复杂交互', '可视化工程化']\n  },\n  {\n    test: /后端|java|node|服务端/i,\n    keywords: ['后端开发实习生', 'Node.js开发实习生', 'Java开发实习生'],\n    relevantSkills: ['Java', 'Node.js', 'Express', 'MySQL', 'Redis', 'Spring'],\n    gapSkills: ['数据库', '缓存', '接口设计']\n  }\n];\n\nfunction directionPreset(name) {\n  return DIRECTION_PRESETS.find(item => item.test.test(String(name || ''))) || null;\n}\n\nfunction normalizedSkillSet(profile = {}) {\n  return new Map(normalizeStringList(profile?.facts?.skills, 50).map(skill => [normalizeDirectionKey(skill), skill]));\n}\n\nfunction buildDirectionKeywords(name, profile = {}) {\n  const allKeywords = normalizeStringList(profile?.searchKeywords, 30);\n  const nameKey = normalizeDirectionKey(name);\n  const preset = directionPreset(name);\n  const matching = allKeywords.filter(keyword => {\n    const key = normalizeDirectionKey(keyword);\n    return key && (nameKey.includes(key) || key.includes(nameKey) || [...nameKey].filter(char => key.includes(char)).length >= Math.min(3, nameKey.length));\n  });\n  return uniq([name, ...matching, ...(preset?.keywords || [])]).filter(Boolean).slice(0, 8);\n}\n\nfunction buildDirectionEvidence(name, candidate = {}, profile = {}) {\n  const skills = normalizeStringList(profile?.facts?.skills, 30);\n  const skillMap = normalizedSkillSet(profile);\n  const preset = directionPreset(name);\n  const relevant = (preset?.relevantSkills || skills).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return skillMap.has(key) || skills.some(current => normalizeDirectionKey(current).includes(key) || key.includes(normalizeDirectionKey(current)));\n  });\n  const matchedSkills = uniq(relevant.length ? relevant : skills.slice(0, 4)).slice(0, 5);\n  const gaps = (preset?.gapSkills || []).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return ![...skillMap.keys()].some(existing => existing.includes(key) || key.includes(existing));\n  }).slice(0, 3);\n  const evidence = normalizeStringList(candidate?.evidence, 3);\n  const reason = evidence.length\n    ? `职业画像中已提取到：${evidence.join('；')}`.slice(0, 160)\n    : matchedSkills.length\n      ? `与简历中的 ${matchedSkills.join('、')} 技能和项目经历匹配。`\n      : `该方向来自职业画像中的主要求职方向，可继续人工调整。`;\n  return { matchedSkills, gaps, reason };\n}\n\nfunction normalizeDirectionItem(item = {}, index = 0) {\n  const name = String(item.name || item.title || '').trim().slice(0, 60);\n  const source = item.source === 'custom' || item.custom ? 'custom' : 'profile';\n  const id = String(item.id || stableDirectionId(name || `custom-${index}`, source));\n  return {\n    id,\n    source,\n    custom: source === 'custom',\n    sourceName: String(item.sourceName || name).trim().slice(0, 60),\n    name,\n    enabled: item.enabled !== false,\n    priority: Math.round(clampNumber(item.priority, 1, 99, index + 1)),\n    score: Math.round(clampNumber(item.score, 0, 100, source === 'custom' ? 70 : Math.max(60, 88 - index * 7))),\n    reason: String(item.reason || (source === 'custom' ? '用户自定义岗位方向。' : '根据职业画像推荐。')).trim().slice(0, 240),\n    matchedSkills: normalizeStringList(item.matchedSkills, 8),\n    gaps: normalizeStringList(item.gaps, 6),\n    keywords: uniq(normalizeStringList(item.keywords, 12).length ? normalizeStringList(item.keywords, 12) : [name]).slice(0, 12),\n    updatedAt: Number(item.updatedAt || Date.now())\n  };\n}\n\nfunction profileDirectionSignature(profile = {}) {\n  return JSON.stringify({\n    directions: normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 6).map(normalizeDirectionKey),\n    keywords: normalizeStringList(profile?.searchKeywords, 20).map(normalizeDirectionKey)\n  });\n}\n\nfunction normalizeDirectionPlan(plan, profile = null, options = {}) {\n  const items = (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score)\n    .slice(0, 12)\n    .map((item, index) => ({ ...item, priority: index + 1 }));\n  return {\n    version: 1,\n    items,\n    confirmed: options.confirmed ?? Boolean(plan?.confirmed),\n    updatedAt: Number(options.updatedAt || plan?.updatedAt || Date.now()),\n    appliedAt: Number(options.appliedAt || plan?.appliedAt || 0),\n    profileSignature: String(options.profileSignature || plan?.profileSignature || profileDirectionSignature(profile)).slice(0, 600)\n  };\n}\n\nfunction buildDirectionPlan(profile = {}, currentPlan = null, options = {}) {\n  const primary = Array.isArray(profile?.primaryDirections) ? profile.primaryDirections : [];\n  const secondary = Array.isArray(profile?.secondaryDirections) ? profile.secondaryDirections : [];\n  const searchKeywords = normalizeStringList(profile?.searchKeywords, 20);\n  const candidates = [];\n  for (const item of [...primary, ...secondary]) {\n    const name = String(typeof item === 'string' ? item : item?.name || '').trim();\n    if (!name || candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(name))) continue;\n    candidates.push({ name, raw: typeof item === 'object' ? item : {} });\n  }\n  for (const keyword of searchKeywords) {\n    if (candidates.length >= 6) break;\n    if (!/开发|工程师|实习生|前端|后端|全栈|AI|人工智能|工具|可视化/i.test(keyword)) continue;\n    if (candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(keyword))) continue;\n    candidates.push({ name: keyword, raw: {} });\n  }\n  if (!candidates.length) candidates.push({ name: '目标岗位', raw: {} });\n\n  const existing = new Map((currentPlan?.items || []).map(item => [String(item.id || ''), item]));\n  const generated = candidates.slice(0, 6).map((candidate, index) => {\n    const id = stableDirectionId(candidate.name, 'profile');\n    const previous = existing.get(id);\n    const confidence = Number(candidate.raw?.confidence);\n    const score = Number.isFinite(confidence)\n      ? Math.round(confidence <= 1 ? confidence * 100 : confidence)\n      : Math.max(62, 90 - index * 7);\n    const evidence = buildDirectionEvidence(candidate.name, candidate.raw, profile);\n    return normalizeDirectionItem({\n      id,\n      source: 'profile',\n      sourceName: candidate.name,\n      name: options.preserveEdits && previous?.name ? previous.name : candidate.name,\n      enabled: options.preserveSelections && previous ? previous.enabled : index < 3,\n      priority: previous?.priority || index + 1,\n      score,\n      reason: evidence.reason,\n      matchedSkills: evidence.matchedSkills,\n      gaps: evidence.gaps,\n      keywords: options.preserveEdits && previous?.keywords?.length\n        ? previous.keywords\n        : buildDirectionKeywords(candidate.name, profile)\n    }, index);\n  });\n  const custom = options.preserveCustom === false ? [] : (currentPlan?.items || [])\n    .filter(item => item?.source === 'custom' || item?.custom)\n    .map((item, index) => normalizeDirectionItem(item, generated.length + index));\n  return normalizeDirectionPlan({\n    items: [...generated, ...custom],\n    confirmed: options.confirmed ?? false,\n    updatedAt: Date.now(),\n    appliedAt: options.confirmed ? Date.now() : Number(currentPlan?.appliedAt || 0)\n  }, profile, { confirmed: options.confirmed ?? false, updatedAt: Date.now() });\n}\n\nfunction selectedDirectionItems(plan = {}) {\n  return (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.enabled && item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score);\n}\n\nfunction fallbackApplicantGreeting(job, profile) {\n  const title = String(job?.title || '该岗位').trim();\n  const skills = normalizeStringList(profile?.facts?.skills, 4);\n  const direction = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 2);\n  const evidence = skills.length ? `我的简历中有${skills.slice(0, 3).join('、')}相关项目与实践` : (profile?.summary || direction.join('、'));\n  const target = `贵公司的${title}`;\n  return `您好，我想应聘${target}岗位。${evidence ? `${evidence}，` : ''}对岗位的工作内容很感兴趣。方便的话希望进一步了解岗位和团队，谢谢。`\n    .replace(/。{2,}/g, '。')\n    .slice(0, 140);\n}\n\nfunction normalizeApplicantGreeting(result, job, profile) {\n  const raw = String(result?.greeting || '').trim();\n  const reversed = /看到你的简历|你的简历|很匹配我们|匹配我们|欢迎.*沟通|期待你|候选人|我们团队|我们公司|团队主要涉及|你很匹配|方便的话来聊聊/i.test(raw);\n  const applicantVoice = /我想应聘|我希望应聘|我对.{0,20}(岗位|职位).{0,10}(感兴趣|有兴趣)|想进一步了解|希望进一步沟通/.test(raw);\n  if (!raw || reversed || !applicantVoice) return fallbackApplicantGreeting(job, profile);\n  return raw.slice(0, 160);\n}\n\nasync function analyzeJob(job) {\n  const { profile, resumeText, config } = await storage.get(['profile', 'resumeText', 'config']);\n  if (!profile) throw new Error('请先生成职业画像');\n  const result = await callModel([\n    {\n      role: 'system',\n      content: '你是为求职者服务的岗位匹配审查器，不是招聘方。用户是正在应聘岗位的求职者。任何能力、年限、项目和成果都不能超出简历事实。先判断学历、经验、地点等硬条件，再判断方向与技能。输出 JSON：{\"score\":0,\"decision\":\"recommend|cautious|reject\",\"hardBlocks\":[],\"matchedEvidence\":[],\"gaps\":[],\"risks\":[],\"reason\":\"\",\"greeting\":\"\"}。greeting 是求职者发给招聘方/HR 的第一人称求职招呼语，50-110字，应使用“您好，我想应聘贵公司的……”口吻。严禁写成招聘方口吻，严禁出现“看到你的简历”“你的经历很匹配我们”“欢迎进一步沟通”“我们团队”“候选人”等表述；不得承诺薪资、到岗、年限或不存在的能力。'\n    },\n    {\n      role: 'user',\n      content: `职业画像：${JSON.stringify(profile)}\n简历：${String(resumeText || '').slice(0, 15000)}\n岗位：${JSON.stringify(job)}`\n    }\n  ]);\n  result.score = Math.max(0, Math.min(100, Number(result.score || 0)));\n  result.greeting = normalizeApplicantGreeting(result, job, profile);\n  if (Array.isArray(result.hardBlocks) && result.hardBlocks.length) result.decision = 'reject';\n  if (result.score < Number(config?.minScore || 75) && result.decision === 'recommend') {\n    result.decision = 'cautious';\n  }\n  return result;\n}\n\nfunction createTasks(profile, config, directionPlan) {\n  const directions = selectedDirectionItems(directionPlan);\n  const locations = config.targetLocations?.length ? config.targetLocations : [''];\n  const employmentTypes = config.employmentTypes?.length ? config.employmentTypes : ['不限'];\n  const tasks = [];\n  const seen = new Set();\n  for (const direction of directions) {\n    for (const keyword of direction.keywords) {\n      for (const location of locations) {\n        for (const employmentType of employmentTypes) {\n          const dedupeKey = [keyword, location, employmentType].map(value => String(value || '').trim().toLowerCase()).join('|');\n          if (seen.has(dedupeKey)) continue;\n          seen.add(dedupeKey);\n          tasks.push({\n            id: crypto.randomUUID(),\n            directionId: direction.id,\n            directionName: direction.name,\n            directionPriority: direction.priority,\n            directionScore: direction.score,\n            keyword,\n            location,\n            employmentType,\n            experience: config.experiences?.[0] || '',\n            degree: config.degrees?.[0] || '',\n            salary: config.salary || '不限',\n            attempts: 0,\n            status: 'pending',\n            progress: 0,\n            stageLabel: '等待开始',\n            processed: 0,\n            discovered: 0,\n            analyzed: 0,\n            failed: 0,\n            createdAt: Date.now()\n          });\n        }\n      }\n    }\n  }\n  return tasks;\n}\n\n\nasync function dispatchNextAutoPending() {\n  const { pending = [], workflow = {}, config = {} } = await storage.get(['pending', 'workflow', 'config']);\n  if (config.executionMode !== 'auto') return { started: false, reason: 'not-auto' };\n  if (workflow.pendingApplyId) return { started: false, reason: 'busy', pendingApplyId: workflow.pendingApplyId };\n  const ranked = rerankPending(pending);\n  const candidate = ranked.find(entry => entry.status === 'approved_queue');\n  if (!candidate) {\n    await storage.set({ pending: ranked });\n    return { started: false, reason: 'empty' };\n  }\n  const next = rerankPending(ranked.map(entry => entry.id === candidate.id\n    ? { ...entry, status: 'approved', approvedAt: entry.approvedAt || Date.now() }\n    : entry));\n  await storage.set({ pending: next });\n  const run = await updateTaskRunByPending(candidate.id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: `优先投递 · 队列第 ${candidate.priorityRank || 1} 位`,\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `按匹配优先级投递：${candidate.job?.title || '岗位'}（AI ${candidate.analysis?.score || 0} 分）`,\n    pendingApplyId: candidate.id,\n    activeRunId: run?.id || candidate.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { started: true, item: candidate, queueDepth: next.filter(entry => entry.status === 'approved_queue').length };\n}\n\nasync function addPending(item) {\n  const { pending = [], config = {} } = await storage.get(['pending', 'config']);\n  let run = null;\n  if (item.runId) {\n    run = await upsertTaskRun({\n      id: item.runId,\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' ? 64 : 60,\n      stageLabel: config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认'\n    });\n  } else {\n    run = await upsertTaskRun({\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' ? 64 : 60,\n      stageLabel: config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认'\n    });\n  }\n  const nextItem = {\n    ...item,\n    runId: run.id,\n    id: item.id || crypto.randomUUID(),\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: config.executionMode === 'auto' ? 'approved_queue' : 'pending',\n    createdAt: Date.now()\n  };\n  await upsertTaskRun({ id: run.id, pendingId: nextItem.id });\n  const next = rerankPending([nextItem, ...pending.filter(entry => entry.id !== nextItem.id)]);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...(await storage.get('stats')).stats, pending: count } });\n  return next.find(entry => entry.id === nextItem.id) || nextItem;\n}\n\nasync function approvePending(id, greeting = '') {\n  const { pending = [] } = await storage.get('pending');\n  const item = pending.find(entry => entry.id === id);\n  if (!item) throw new Error('待确认岗位不存在');\n  const lockedGreeting = String(greeting || item.deliveryGreeting || item.analysis?.greeting || '').trim();\n  const updatedItem = {\n    ...item,\n    deliveryGreeting: lockedGreeting,\n    analysis: { ...(item.analysis || {}), greeting: lockedGreeting },\n    status: 'approved',\n    approvedAt: Date.now()\n  };\n  const next = pending.map(entry => entry.id === id ? updatedItem : entry);\n  await storage.set({ pending: next });\n  const pendingCount = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: pendingCount } });\n  const run = await updateTaskRunByPending(id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: '等待投递',\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `准备以求职者身份沟通：${item.job?.title || '岗位'}`,\n    pendingApplyId: id,\n    activeRunId: run?.id || item.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  return updatedItem;\n}\n\nasync function approveAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const candidates = rerankPending(pending).filter(entry => entry.status === 'pending');\n  if (!candidates.length) return { count: 0 };\n  const ids = new Set(candidates.map(entry => entry.id));\n  const next = pending.map(entry => ids.has(entry.id)\n    ? { ...entry, status: 'approved_queue', approvedAt: Date.now() }\n    : entry);\n  const first = candidates[0];\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const [index, candidate] of candidates.entries()) {\n    await updateTaskRunByPending(candidate.id, {\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'queued',\n      progress: 64,\n      stageLabel: index === 0 ? '准备投递' : '批量队列等待中',\n      error: '',\n      retryable: true,\n      completedAt: null\n    });\n  }\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `批量投递 1/${candidates.length}：${first.job?.title || '岗位'}`,\n    pendingApplyId: first.id,\n    activeRunId: first.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { count: candidates.length };\n}\n\nasync function rejectAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const count = pending.filter(entry => entry.status === 'pending').length;\n  const next = pending.map(entry => entry.status === 'pending'\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const item of pending.filter(entry => entry.status === 'pending')) {\n    await updateTaskRunByPending(item.id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n  }\n  return { count };\n}\n\nasync function rejectPending(id) {\n  const { pending = [] } = await storage.get('pending');\n  const next = pending.map(entry => entry.id === id ? { ...entry, status: 'rejected', rejectedAt: Date.now() } : entry);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: count } });\n  await updateTaskRunByPending(id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\n\nasync function skipPendingTask(id, reason = '该岗位需要外部网申，已自动跳过', stageLabel = '外部网申岗位已跳过') {\n  const { pending = [], stats = {}, config = {}, chatTransition = null } = await storage.get(['pending', 'stats', 'config', 'chatTransition']);\n  const completedAt = Date.now();\n  let skippedItem = null;\n  let next = pending.map(entry => {\n    if (entry.id !== id) return entry;\n    skippedItem = { ...entry, status: 'skipped', completedAt, error: reason };\n    return skippedItem;\n  });\n  const updatedStats = {\n    ...stats,\n    pending: next.filter(entry => entry.status === 'pending').length\n  };\n  await storage.set({ pending: next, stats: updatedStats, chatTransition: chatTransition?.pendingId === id ? null : chatTransition });\n  const run = await updateTaskRunByPending(id, {\n    status: 'skipped', stage: 'skipped', progress: 100,\n    stageLabel, error: reason, retryable: false, completedAt\n  });\n  await writeEvent('info', stageLabel, {\n    id,\n    runId: run?.id || skippedItem?.runId || '',\n    job: skippedItem?.job,\n    reason\n  });\n\n  next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n  if (queued) {\n    next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n    await storage.set({ pending: next });\n    const queuedRun = await updateTaskRunByPending(queued.id, {\n      status: 'running', stage: 'queued', progress: 64,\n      stageLabel: '准备投递', error: '', completedAt: null\n    });\n    await patchWorkflow({\n      pendingApplyId: queued.id,\n      activeRunId: queuedRun?.id || queued.runId || null,\n      running: true,\n      paused: false,\n      phase: 'apply',\n      statusText: `已跳过外部网申岗位，继续投递：${queued.job?.title || '岗位'}`\n    });\n  } else {\n    await patchWorkflow({\n      pendingApplyId: null,\n      activeRunId: null,\n      running: true,\n      paused: false,\n      phase: 'search',\n      statusText: '外部网申岗位已跳过，继续搜索可直接沟通岗位'\n    });\n  }\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), Math.max(3000, Math.min(10000, Number(config.betweenJobsSeconds || 5) * 1000)));\n  return { item: skippedItem, queued: queued || null };\n}\n\nasync function handleBridgeCommands() {\n  try {\n    const response = await bridge('/commands');\n    for (const command of response.commands || []) {\n      if (command.type === 'start') {\n        await patchWorkflow({ running: true, paused: false, statusText: '由 OpenClaw 启动' });\n        await sendToBoss({ type: 'RUN' });\n      } else if (command.type === 'pause') {\n        await patchWorkflow({ paused: true, statusText: '由 OpenClaw 暂停' });\n      } else if (command.type === 'stop') {\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '由 OpenClaw 停止' });\n      }\n    }\n  } catch {\n    // 桌面桥接未运行时保持浏览器扩展独立可用。\n  }\n}\n\nchrome.runtime.onInstalled.addListener(init);\nchrome.runtime.onStartup.addListener(init);\ninit();\n\nchrome.alarms.onAlarm.addListener(async alarm => {\n  if (alarm.name !== 'jobclaw-tick') return;\n  const { workflow } = await storage.get('workflow');\n  if (workflow?.running && !workflow.paused) sendToBoss({ type: 'RUN' }).catch(() => {});\n  handleBridgeCommands();\n});\n\nchrome.runtime.onMessage.addListener((message, sender, reply) => {\n  (async () => {\n    switch (message?.type) {\n      case 'TRUSTED_CHAT_INPUT': {\n        const tabId = sender?.tab?.id;\n        const url = String(sender?.tab?.url || '');\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('可信输入只能用于当前 BOSS 页面');\n        const result = await trustedChatInput(tabId, message);\n        reply({ ok: true, ...result });\n        break;\n      }\n      case 'GET_STATE':\n        reply({ ok: true, state: publicState(await storage.all()) });\n        break;\n      case 'SAVE_CONFIG': {\n        const { config } = await storage.get('config');\n        const incoming = message.config || {};\n        const oldKey = config?.model?.apiKey || '';\n        incoming.model = {\n          ...(config?.model || {}),\n          ...(incoming.model || {}),\n          apiKey: incoming.model?.apiKey && incoming.model.apiKey !== '***'\n            ? incoming.model.apiKey\n            : oldKey\n        };\n        incoming.executionMode = incoming.executionMode === 'auto' ? 'auto' : 'review';\n        incoming.dailyTarget = Math.max(1, Math.min(300, Number(incoming.dailyTarget || config?.dailyTarget || 150)));\n        incoming.discoveryLimit = 0;\n        incoming.model.baseUrl = String(incoming.model.baseUrl || 'https://api.deepseek.com').trim();\n        incoming.model.model = String(incoming.model.model || 'deepseek-v4-pro').trim();\n        await storage.set({ config: { ...(config || {}), ...incoming } });\n        await writeEvent('info', '设置已保存');\n        reply({ ok: true });\n        break;\n      }\n      case 'SET_RESUME':\n        await storage.set({ resumeText: String(message.text || '') });\n        await writeEvent('info', '简历文本已保存', { length: String(message.text || '').length });\n        reply({ ok: true });\n        break;\n      case 'SET_RESUME_SOURCE': {\n        const file = message.file || null;\n        if (!file?.name || !file?.dataUrl) throw new Error('简历原文件数据不完整');\n        if (String(file.dataUrl).length > 26 * 1024 * 1024) throw new Error('简历原文件过大');\n        const source = {\n          name: String(file.name),\n          type: String(file.type || ''),\n          size: Number(file.size || 0),\n          lastModified: Number(file.lastModified || 0),\n          dataUrl: String(file.dataUrl),\n          savedAt: Date.now()\n        };\n        await storage.set({ resumeSourceFile: source });\n        await writeEvent('info', '简历原文件已保留', { name: source.name, size: source.size });\n        reply({ ok: true, file: { name: source.name, type: source.type, size: source.size, stored: true } });\n        break;\n      }\n      case 'PARSE_RESUME_PDF': {\n        const { resumeSourceFile } = await storage.get('resumeSourceFile');\n        if (!resumeSourceFile?.dataUrl) throw new Error('请先选择 PDF 简历');\n        if (!String(resumeSourceFile.name || '').toLowerCase().endsWith('.pdf') && resumeSourceFile.type !== 'application/pdf') {\n          throw new Error('当前保留的文件不是 PDF');\n        }\n        try {\n          const result = await bridge('/parse-resume', {\n            name: resumeSourceFile.name,\n            type: resumeSourceFile.type,\n            dataUrl: resumeSourceFile.dataUrl\n          });\n          if (result?.text) await writeEvent('info', 'PDF 本机深度识别完成', { method: result.method, length: result.text.length });\n          reply({ ok: Boolean(result?.ok), result, error: result?.error || '' });\n        } catch (error) {\n          reply({ ok: false, error: `桌面桥接不可用：${error.message}` });\n        }\n        break;\n      }\n      case 'SET_IMAGE':\n        await storage.set({ resumeImage: message.dataUrl || null });\n        await writeEvent('info', message.dataUrl ? '简历图片已保存' : '简历图片已移除');\n        reply({ ok: true });\n        break;\n      case 'BUILD_LOCAL_PROFILE':\n      case 'ENSURE_PROFILE_DRAFT': {\n        const { resumeText, profile: currentProfile, profileDraft: currentDraft } = await storage.get(['resumeText', 'profile', 'profileDraft']);\n        if (profileDraftHasCore(currentDraft) && profileHasCore(currentProfile)) {\n          reply({ ok: true, profile: currentProfile, profileDraft: currentDraft, skipped: true });\n          break;\n        }\n        if (profileHasCore(currentProfile)) {\n          const profileDraft = profileDraftHasAny(currentDraft)\n            ? normalizeProfileDraft(currentDraft, profileToDraft(currentProfile, 'profile-repair'))\n            : profileToDraft(currentProfile, 'profile-repair');\n          await storage.set({ profileDraft });\n          reply({ ok: true, profile: currentProfile, profileDraft, repaired: true });\n          break;\n        }\n        const profile = buildLocalProfile(resumeText || '');\n        profile.generation.mode = 'local-recovery';\n        profile.generation.label = '本地初稿';\n        profile.generation.warning = '已从保存的简历自动恢复可编辑初稿。';\n        const profileDraft = profileToDraft(profile, 'local-recovery');\n        const { directionPlan: currentDirectionPlan } = await storage.get('directionPlan');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        await writeEvent('info', '已从已保存简历恢复可编辑画像', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation: profile.generation });\n        break;\n      }\n      case 'BUILD_PROFILE': {\n        const { resumeText, directionPlan: currentDirectionPlan } = await storage.get(['resumeText', 'directionPlan']);\n        const profile = await buildProfile(resumeText || '');\n        const profileDraft = profileToDraft(profile, profile.generation?.mode || 'generated');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        const generation = profile.generation || {};\n        const local = generation.mode === 'local-fallback';\n        const eventTitle = !local\n          ? (generation.mode === 'ai-compact-retry' ? 'AI 精简重试成功，职业画像已生成' : '职业画像已生成')\n          : generation.aiStatus === 'service-error'\n            ? 'AI 请求失败，已生成本地可编辑画像'\n            : generation.aiStatus === 'config-missing'\n              ? 'AI 尚未配置，已生成本地可编辑画像'\n              : 'AI 输出未通过校验，已生成本地可编辑画像';\n        await writeEvent(local ? 'warning' : 'info', eventTitle,\n          { directions: profile.primaryDirections, generation });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation, warning: generation.warning || '' });\n        break;\n      }\n      case 'SAVE_PROFILE_DRAFT': {\n        const { profileDraft: currentDraft } = await storage.get('profileDraft');\n        const profileDraft = normalizeProfileDraft(message.profileDraft, currentDraft);\n        await storage.set({ profileDraft });\n        reply({ ok: true, profileDraft });\n        break;\n      }\n      case 'SAVE_PROFILE': {\n        const { profile: currentProfile, config = {}, profileDraft: currentDraft, directionPlan: currentDirectionPlan } = await storage.get(['profile', 'config', 'profileDraft', 'directionPlan']);\n        const profile = normalizeProfile(message.profile, currentProfile);\n        const profileDraft = profileToDraft(profile, 'manual-save');\n        const keepDirectionConfirmation = Boolean(\n          currentDirectionPlan?.confirmed\n          && profileDirectionSignature(currentProfile || {}) === profileDirectionSignature(profile)\n        );\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: keepDirectionConfirmation,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        const hard = profile.hardConstraints || {};\n        const nextConfig = {\n          ...config,\n          targetLocations: hard.locations?.length ? hard.locations : (config.targetLocations || []),\n          employmentTypes: hard.employmentTypes?.length ? hard.employmentTypes : (config.employmentTypes || ['不限']),\n          experiences: hard.experience ? [hard.experience] : (config.experiences || []),\n          degrees: hard.degree ? [hard.degree] : (config.degrees || []),\n          salary: hard.salary || config.salary || '不限'\n        };\n        await storage.set({ profile, profileDraft, directionPlan, config: nextConfig });\n        await writeEvent('info', '职业画像已手动保存', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, config: nextConfig });\n        break;\n      }\n      case 'REBUILD_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'profileDraft', 'directionPlan']);\n        let profile = stored.profile;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        const directionPlan = buildDirectionPlan(profile, stored.directionPlan, {\n          confirmed: false,\n          preserveSelections: false,\n          preserveEdits: false,\n          preserveCustom: true\n        });\n        await storage.set({ directionPlan });\n        await writeEvent('info', '已重新生成岗位方向推荐', {\n          directions: directionPlan.items.map(item => item.name),\n          enabled: directionPlan.items.filter(item => item.enabled).length\n        });\n        reply({ ok: true, directionPlan });\n        break;\n      }\n      case 'SAVE_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'config', 'workflow', 'directionPlan']);\n        if (!profileHasCore(stored.profile)) throw new Error('请先生成职业画像');\n        const directionPlan = normalizeDirectionPlan(message.directionPlan, stored.profile, {\n          confirmed: true,\n          updatedAt: Date.now(),\n          appliedAt: Date.now()\n        });\n        const selected = selectedDirectionItems(directionPlan);\n        if (!selected.length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(stored.profile, stored.config || DEFAULTS.config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可用搜索词，请先补充关键词');\n        await storage.set({ directionPlan });\n        await writeEvent('info', '投递岗位方向已保存', {\n          directions: selected.map(item => item.name),\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        reply({\n          ok: true,\n          directionPlan,\n          selectedCount: selected.length,\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        break;\n      }\n      case 'TEST_AI': {\n        const text = await callModel([\n          { role: 'system', content: '只回复“连接正常”。' },\n          { role: 'user', content: '测试连接' }\n        ], false);\n        reply({ ok: true, text });\n        break;\n      }\n      case 'PROBE_BOSS': {\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        const result = await ensureBossReceiver(tab);\n        reply({ ok: true, result: { ...result, tabId: tab.id, title: tab.title || '', url: tab.url || '' } });\n        break;\n      }\n      case 'START': {\n        const stored = await storage.get(['profile', 'profileDraft', 'resumeText', 'config', 'directionPlan']);\n        let profile = stored.profile;\n        const config = stored.config;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile) && String(stored.resumeText || '').trim().length >= 30) {\n          profile = buildLocalProfile(stored.resumeText || '');\n          profile.generation.mode = 'local-recovery';\n          profile.generation.label = '本地初稿';\n          const profileDraft = profileToDraft(profile, 'start-recovery');\n          await storage.set({ profile, profileDraft });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        let directionPlan = stored.directionPlan;\n        if (!directionPlan?.items?.length) {\n          directionPlan = buildDirectionPlan(profile, null, { confirmed: false });\n          await storage.set({ directionPlan });\n        }\n        directionPlan = normalizeDirectionPlan(directionPlan, profile);\n        if (!directionPlan.confirmed) throw new Error('请先在“简历 → 职业画像”中选择要投递的岗位方向并保存');\n        if (!selectedDirectionItems(directionPlan).length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(profile, config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可执行的搜索词，请补充方向关键词');\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        await ensureBossReceiver(tab);\n        const workflow = {\n          ...DEFAULTS.workflow,\n          running: true,\n          paused: false,\n          phase: 'search',\n          statusText: '正在启动岗位采集',\n          tasks,\n          activeRunId: null\n        };\n        await storage.set({ workflow });\n        try {\n          await sendToBossTab(tab, { type: 'RUN' });\n          await writeEvent('info', '任务已启动', { taskCount: workflow.tasks.length, tabId: tab.id });\n          reply({ ok: true });\n        } catch (error) {\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            phase: 'idle',\n            statusText: 'BOSS 页面连接失败，任务未启动'\n          });\n          throw error;\n        }\n        break;\n      }\n      case 'PAUSE':\n        await patchWorkflow({ paused: true, statusText: '用户已暂停' });\n        await writeEvent('info', '任务已暂停');\n        reply({ ok: true });\n        break;\n      case 'STOP':\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '用户已停止', pendingApplyId: null, activeRunId: null });\n        await writeEvent('info', '任务已停止');\n        reply({ ok: true });\n        break;\n      case 'AI_JOB':\n        reply({ ok: true, result: await analyzeJob(message.job) });\n        break;\n      case 'CHAT_BINDING_PREPARE': {\n        if (!message.pendingId || !message.expected) throw new Error('岗位与 HR 会话绑定信息不完整');\n        const transition = {\n          pendingId: String(message.pendingId),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          preparedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'CHAT_BINDING_CHECK': {\n        const expected = message.expected || {};\n        const recruiterName = String(message.context?.recruiterName || expected.recruiterName || '').trim();\n        const company = String(message.context?.companyName || expected.company || message.job?.company || '').trim();\n        const key = deriveConversationReservationKey(message.context || {}, expected, message.pendingId);\n        if (!key) {\n          reply({ ok: false, allowed: false, error: '目标 HR 已核验，但无法建立安全投递锁' });\n          break;\n        }\n        const { chatDeliveryLedger = {} } = await storage.get('chatDeliveryLedger');\n        const existing = chatDeliveryLedger[key];\n        const identityExisting = Object.values(chatDeliveryLedger).find(entry =>\n          entry?.pendingId !== message.pendingId\n          && ['reserved', 'sent'].includes(String(entry?.status || ''))\n          && sameRecruiterReservation(entry, recruiterName, company)\n        );\n        const conflict = existing && existing.pendingId !== message.pendingId ? existing : identityExisting;\n        if (conflict) {\n          reply({\n            ok: true,\n            allowed: false,\n            error: `当前 HR 会话已绑定其他岗位任务，禁止继续发送`,\n            existing: conflict\n          });\n          break;\n        }\n        const reservation = {\n          ...(existing || {}),\n          conversationKey: key,\n          pendingId: String(message.pendingId || ''),\n          runId: String(message.runId || ''),\n          jobUrl: String(message.job?.url || ''),\n          jobTitle: String(message.job?.title || ''),\n          company: String(message.job?.company || ''),\n          recruiterName,\n          company,\n          chatUrl: String(message.context?.url || ''),\n          status: existing?.status === 'sent' ? 'sent' : 'reserved',\n          reservedAt: existing?.reservedAt || Date.now(),\n          updatedAt: Date.now()\n        };\n        await storage.set({ chatDeliveryLedger: { ...chatDeliveryLedger, [key]: reservation } });\n        reply({ ok: true, allowed: true, conversationKey: key, reservation });\n        break;\n      }\n      case 'CHAT_BINDING_CONFIRMED': {\n        const transition = {\n          pendingId: String(message.pendingId || ''),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          context: safeClone(message.context || {}),\n          confirmedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'MATERIAL': {\n        const { resumeImage, config } = await storage.get(['resumeImage', 'config']);\n        reply({ ok: true, resumeImage, config });\n        break;\n      }\n      case 'CONTENT_STATE':\n        reply({ ok: true, state: await storage.all() });\n        break;\n      case 'WORKFLOW':\n        reply({ ok: true, workflow: await patchWorkflow(message.patch || {}) });\n        break;\n      case 'STATS':\n        reply({ ok: true, stats: await changeStats(message.delta || {}) });\n        break;\n      case 'TASK_PROGRESS': {\n        const run = await upsertTaskRun(message.run || {});\n        if (message.setActive) await patchWorkflow({ activeRunId: run.id });\n        reply({ ok: true, run });\n        break;\n      }\n      case 'SEARCH_TASK_PROGRESS':\n        reply({ ok: true, task: await updateSearchTaskProgress(message) });\n        break;\n      case 'RETRY_FAILED_TASK':\n        reply({ ok: true, ...(await retryFailedTask(message.runId)) });\n        break;\n      case 'RETRY_ALL_FAILED_TASKS':\n        reply({ ok: true, ...(await retryAllFailedTasks()) });\n        break;\n      case 'IGNORE_FAILED_TASK':\n        reply({ ok: true, run: await ignoreFailedTask(message.runId) });\n        break;\n      case 'OPEN_TASK_JOB': {\n        const url = String(message.url || '').trim();\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('岗位地址无效');\n        const tab = await chrome.tabs.create({ url, active: true });\n        reply({ ok: true, tabId: tab.id });\n        break;\n      }\n      case 'EVENT':\n        reply({ ok: true, event: await writeEvent(message.level || 'info', message.message || '', message.data || {}) });\n        break;\n      case 'PENDING':\n        reply({ ok: true, item: await addPending(message.item || {}) });\n        break;\n      case 'APPROVE':\n        reply({ ok: true, item: await approvePending(message.id, message.greeting || '') });\n        break;\n      case 'REJECT':\n        await rejectPending(message.id);\n        reply({ ok: true });\n        break;\n      case 'APPROVE_ALL':\n        reply({ ok: true, ...(await approveAllPending()) });\n        break;\n      case 'REJECT_ALL':\n        reply({ ok: true, ...(await rejectAllPending()) });\n        break;\n      case 'AUTO_APPROVE': {\n        const { pending = [] } = await storage.get('pending');\n        const next = rerankPending(pending.map(entry => entry.id === message.id\n          ? {\n              ...entry,\n              deliveryGreeting: String(message.greeting || entry.deliveryGreeting || entry.analysis?.greeting || '').trim(),\n              status: 'approved_queue',\n              approvedAt: Date.now()\n            }\n          : entry));\n        await storage.set({ pending: next });\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      }\n      case 'AUTO_DISPATCH_NEXT':\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      case 'SKIP_PENDING':\n        reply({ ok: true, ...(await skipPendingTask(message.id, message.reason, message.stageLabel)) });\n        break;\n      case 'APPLY_COMPLETE': {\n        const { pending = [], config = {}, stats = {}, chatDeliveryLedger = {}, chatTransition = null } = await storage.get(['pending', 'config', 'stats', 'chatDeliveryLedger', 'chatTransition']);\n        const completedAt = Date.now();\n        let completedItem = null;\n        let next = pending.map(entry => {\n          if (entry.id !== message.id) return entry;\n          completedItem = { ...entry, status: message.ok ? 'sent' : 'failed', completedAt, error: message.error || '' };\n          return completedItem;\n        });\n        const updatedStats = {\n          ...stats,\n          pending: next.filter(entry => entry.status === 'pending').length,\n          sent: Number(stats?.sent || 0) + (message.ok ? 1 : 0),\n          failed: Number(stats?.failed || 0) + (message.ok ? 0 : 1)\n        };\n        const conversationKey = String(message.conversation?.key || '');\n        let nextLedger = chatDeliveryLedger;\n        if (conversationKey && chatDeliveryLedger[conversationKey]?.pendingId === message.id) {\n          nextLedger = {\n            ...chatDeliveryLedger,\n            [conversationKey]: {\n              ...chatDeliveryLedger[conversationKey],\n              status: message.ok ? 'sent' : 'failed',\n              sentAt: message.ok ? completedAt : (chatDeliveryLedger[conversationKey].sentAt || null),\n              failedAt: message.ok ? null : completedAt,\n              error: message.error || '',\n              updatedAt: completedAt\n            }\n          };\n        }\n        const nextTransition = chatTransition?.pendingId === message.id ? null : chatTransition;\n        await storage.set({ pending: next, stats: updatedStats, chatDeliveryLedger: nextLedger, chatTransition: nextTransition });\n        const completedRun = await updateTaskRunByPending(message.id, message.ok\n          ? {\n              status: 'success', stage: 'success', progress: 100, stageLabel: '投递成功', error: '',\n              retryable: false, completedAt, result: message.result || 'sent'\n            }\n          : {\n              status: 'failed', stage: message.stage || 'failed', progress: 100,\n              stageLabel: message.stageLabel || '投递失败', error: message.error || '投递失败',\n              retryable: message.retryable !== false, retryRequestedAt: 0, completedAt\n            });\n        await writeEvent(message.ok ? 'success' : 'error', message.ok ? '求职投递成功' : '求职投递失败', {\n          id: message.id,\n          runId: completedRun?.id || completedItem?.runId || '',\n          job: completedItem?.job,\n          stage: message.stage || '',\n          error: message.error || ''\n        });\n\n        const validationPending = message.ok\n          && config.executionMode === 'auto'\n          && config.requireSingleJobValidation !== false\n          && !Number(config.singleJobValidationCompletedAt || 0);\n        if (validationPending) {\n          const nextConfig = { ...config, singleJobValidationCompletedAt: completedAt };\n          await storage.set({ config: nextConfig });\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: null,\n            phase: 'idle',\n            statusText: '单条验收已通过并自动暂停；确认聊天文字和附件后可继续批量'\n          });\n          await writeEvent('success', '首次单条投递验收通过', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            completedAt\n          });\n          reply({ ok: true, validationCompleted: true, pausedForValidation: true });\n          break;\n        }\n\n        if (updatedStats.sent >= Number(config.dailyTarget || 150)) {\n          await patchWorkflow({ running: false, paused: true, pendingApplyId: null, activeRunId: null, phase: 'idle', statusText: `已完成今日 ${updatedStats.sent} 次成功投递` });\n          reply({ ok: true, targetReached: true });\n          break;\n        }\n\n        // 任何文字未确认场景都暂停当前队列，但只有输入框中确实存在完整招呼语时，\n        // 才提示“草稿已保留”。输入框为空时必须明确提示写入失败，不能误导用户。\n        if (!message.ok && message.pauseQueue) {\n          const draftPresent = message.preserveDraft === true || message.draftPresent === true;\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: completedRun?.id || completedItem?.runId || null,\n            phase: 'apply',\n            statusText: draftPresent\n              ? '发送未确认，已暂停队列；当前招呼语仍在输入框'\n              : '文字没有写入或没有发送，已暂停队列并停留在当前 HR 页面'\n          });\n          await writeEvent('warning', draftPresent\n            ? '自动投递已暂停，当前招呼语仍保留在输入框'\n            : '自动投递已暂停，聊天输入框中没有完整招呼语', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            draftPresent,\n            editorDiagnostics: message.editorDiagnostics || null,\n            error: message.error || ''\n          });\n          reply({ ok: true, pausedForDraft: draftPresent, pausedForSendFailure: true });\n          break;\n        }\n\n        next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n        if (queued) {\n          next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n          await storage.set({ pending: next });\n          const remaining = next.filter(entry => entry.status === 'approved_queue').length;\n          const queuedRun = await updateTaskRunByPending(queued.id, {\n            status: 'running', stage: 'queued', progress: 64, stageLabel: '准备投递', error: '', completedAt: null\n          });\n          await patchWorkflow({\n            pendingApplyId: queued.id,\n            activeRunId: queuedRun?.id || queued.runId || null,\n            running: true,\n            paused: false,\n            phase: 'apply',\n            statusText: `继续批量投递：${queued.job?.title || '岗位'}（剩余 ${remaining}）`\n          });\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ statusText: `当前岗位处理完成，${Math.round(pacingMs / 1000)} 秒后继续批量投递` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        } else {\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ pendingApplyId: null, activeRunId: null, phase: 'search', statusText: message.ok ? `文字投递已确认，${Math.round(pacingMs / 1000)} 秒后继续筛选` : `当前岗位失败，${Math.round(pacingMs / 1000)} 秒后继续筛选` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        }\n        reply({ ok: true });\n        break;\n      }\n      case 'BRIDGE_STATUS':\n        try { reply({ ok: true, result: await bridge('/status') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_REPORT':\n        try { reply({ ok: true, result: await bridge('/report') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_COMMAND':\n        try { reply({ ok: true, result: await bridge('/command', { type: message.command }) }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      default:\n        reply({ ok: false, error: 'unknown message' });\n    }\n  })().catch(async error => {\n    await writeEvent('error', '后台处理失败', { type: message?.type, error: error.message });\n    reply({ ok: false, error: error.message });\n  });\n  return true;\n});\n"}, "7e303eedb66fd66f0fe17c3e1630a2b248a4d214": {"t": 1785758655.0987291, "n": 135960, "h": "95b879215480f056", "c": "import { DEFAULTS, safeClone, today, uniq } from './common.js';\n\nconst BRIDGE_ENDPOINTS = ['http://127.0.0.1:17899', 'http://localhost:17899'];\nconst EXPECTED_CONTENT_VERSION = '1.2.37';\nconst CONTENT_SCRIPT_FILE = 'content-v37.js';\nconst storage = {\n  get: keys => chrome.storage.local.get(keys),\n  all: () => chrome.storage.local.get(null),\n  set: patch => chrome.storage.local.set(patch)\n};\n\nfunction normalizeConversationIdentity(value) {\n  return String(value || '')\n    .replace(/\\s+/g, '')\n    .replace(/有限责任公司|股份有限公司|有限公司|招聘者|招聘方|人事行政|人事|hr|在线|刚刚活跃|活跃/gi, '')\n    .replace(/[()（）【】\\[\\]<>《》,，。.:：;；_\\-—·•｜|]/g, '')\n    .trim()\n    .toLowerCase();\n}\n\nfunction deriveConversationReservationKey(context = {}, expected = {}, pendingId = '') {\n  const recruiterName = String(context.recruiterName || expected.recruiterName || '').trim();\n  const company = String(context.companyName || expected.company || '').trim();\n  const recruiterKey = normalizeConversationIdentity(recruiterName).slice(0, 80);\n  const companyKey = normalizeConversationIdentity(company).slice(0, 100);\n  if (recruiterKey) return `hr:${recruiterKey}${companyKey ? `|company:${companyKey}` : ''}`;\n\n  const token = String(context.urlToken || '').trim();\n  if (/conversationid=|chatid=|relationid=|bossid=|uid=/i.test(token)) return `chat:${token}`;\n  const observed = normalizeConversationIdentity(`${context.headerText || ''} ${context.selectedText || ''}`).slice(0, 160);\n  if (observed) return `observed:${observed}`;\n  return pendingId ? `task:${String(pendingId)}` : '';\n}\n\nfunction sameRecruiterReservation(entry = {}, recruiterName = '', company = '') {\n  const leftRecruiter = normalizeConversationIdentity(entry.recruiterName);\n  const rightRecruiter = normalizeConversationIdentity(recruiterName);\n  if (!leftRecruiter || !rightRecruiter || leftRecruiter !== rightRecruiter) return false;\n  const leftCompany = normalizeConversationIdentity(entry.company);\n  const rightCompany = normalizeConversationIdentity(company);\n  // 两边公司都明确且不一致时，允许同名 HR；任一侧公司缺失时按安全策略视为同一会话。\n  return !(leftCompany && rightCompany && leftCompany !== rightCompany);\n}\n\nconst debuggerLocks = new Map();\n\nconst OFFSCREEN_DOCUMENT_PATH = 'offscreen.html';\nlet offscreenCreation = null;\n\nasync function ensureClipboardOffscreen() {\n  if (!chrome.offscreen?.createDocument) return false;\n  const url = chrome.runtime.getURL(OFFSCREEN_DOCUMENT_PATH);\n  if (chrome.runtime.getContexts) {\n    const contexts = await chrome.runtime.getContexts({\n      contextTypes: ['OFFSCREEN_DOCUMENT'],\n      documentUrls: [url]\n    }).catch(() => []);\n    if (contexts?.length) return true;\n  }\n  if (!offscreenCreation) {\n    offscreenCreation = chrome.offscreen.createDocument({\n      url: OFFSCREEN_DOCUMENT_PATH,\n      reasons: ['CLIPBOARD'],\n      justification: '将求职招呼语以真实粘贴方式写入 BOSS 聊天编辑器'\n    }).then(() => true).catch(error => {\n      const message = String(error?.message || error || '');\n      if (/single offscreen|already exists|existing offscreen/i.test(message)) return true;\n      throw error;\n    }).finally(() => { offscreenCreation = null; });\n  }\n  return offscreenCreation;\n}\n\nasync function writeClipboardText(text) {\n  const value = String(text || '');\n  if (!value) return false;\n  try {\n    const ready = await ensureClipboardOffscreen();\n    if (!ready) return false;\n    const response = await chrome.runtime.sendMessage({ type: 'JOBCLAW_CLIPBOARD_WRITE', text: value });\n    return response?.ok === true;\n  } catch {\n    return false;\n  }\n}\n\nfunction validPoint(point) {\n  const x = Number(point?.x);\n  const y = Number(point?.y);\n  if (!Number.isFinite(x) || !Number.isFinite(y) || x < 0 || y < 0) {\n    throw new Error('聊天输入坐标无效');\n  }\n  return { x, y };\n}\n\nasync function debuggerBringToFront(target) {\n  await chrome.debugger.sendCommand(target, 'Page.bringToFront').catch(() => {});\n  await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression: 'window.focus(); true',\n    returnByValue: true\n  }).catch(() => {});\n}\n\nasync function debuggerNodeAtPoint(target, point) {\n  const { x, y } = validPoint(point);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getNodeForLocation', {\n    x, y,\n    includeUserAgentShadowDOM: true,\n    ignorePointerEventsNone: true\n  }).catch(() => null);\n  return {\n    nodeId: Number(result?.nodeId || 0),\n    backendNodeId: Number(result?.backendNodeId || 0),\n    frameId: String(result?.frameId || '')\n  };\n}\n\nasync function debuggerResolveNodeObject(target, node = {}) {\n  const args = {};\n  if (Number(node.nodeId || 0)) args.nodeId = Number(node.nodeId);\n  else if (Number(node.backendNodeId || 0)) args.backendNodeId = Number(node.backendNodeId);\n  else return '';\n  const resolved = await chrome.debugger.sendCommand(target, 'DOM.resolveNode', args).catch(() => null);\n  return String(resolved?.object?.objectId || '');\n}\n\nasync function debuggerReadObjectText(target, objectId = '') {\n  if (!objectId) return '';\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      if ('value' in this && !this.isContentEditable) return String(this.value || '');\n      return String(this.innerText || this.textContent || '');\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerReadNodeText(target, node = {}) {\n  const objectId = await debuggerResolveNodeObject(target, node);\n  return debuggerReadObjectText(target, objectId);\n}\n\nasync function debuggerFindEditableObject(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  const point = validPoint(message.point);\n  const expression = `(() => {\n    const exactSelector = ${JSON.stringify(selector)};\n    const point = ${JSON.stringify(point)};\n    const editableSelector = 'textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]';\n    const isEditable = node => {\n      if (!node || node.nodeType !== 1) return false;\n      const tag = String(node.tagName || '').toLowerCase();\n      if (tag === 'textarea') return true;\n      if (tag === 'input') {\n        const type = String(node.getAttribute('type') || 'text').toLowerCase();\n        return ['text', 'search', ''].includes(type);\n      }\n      const mode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n      return node.isContentEditable\n        || Boolean(mode && !['false', 'inherit', 'off'].includes(mode))\n        || node.getAttribute('role') === 'textbox'\n        || node.getAttribute('data-slate-editor') === 'true'\n        || node.getAttribute('data-lexical-editor') === 'true';\n    };\n    const deepQuery = (root, query) => {\n      if (!root) return null;\n      try {\n        const direct = root.querySelector?.(query);\n        if (direct) return direct;\n      } catch {}\n      let elements = [];\n      try { elements = [...(root.querySelectorAll?.('*') || [])]; } catch {}\n      for (const element of elements) {\n        if (element.shadowRoot) {\n          const found = deepQuery(element.shadowRoot, query);\n          if (found) return found;\n        }\n      }\n      return null;\n    };\n    const nearestEditable = node => {\n      let current = node;\n      for (let depth = 0; current && depth < 16; depth += 1) {\n        if (isEditable(current)) return current;\n        let nested = null;\n        try { nested = current.querySelector?.(editableSelector); } catch {}\n        if (nested && isEditable(nested)) return nested;\n        const root = current.getRootNode?.();\n        current = current.parentElement || (root && root.host) || null;\n      }\n      return null;\n    };\n    let node = exactSelector ? deepQuery(document, exactSelector) : null;\n    node = nearestEditable(node) || node;\n    if (!isEditable(node)) {\n      let pointNode = null;\n      try { pointNode = document.elementFromPoint(point.x, point.y); } catch {}\n      node = nearestEditable(pointNode);\n    }\n    if (!isEditable(node)) return null;\n    try { node.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n    try { node.focus({ preventScroll: true }); } catch { try { node.focus(); } catch {} }\n    if (node.isContentEditable) {\n      try {\n        const selection = window.getSelection();\n        const range = document.createRange();\n        range.selectNodeContents(node);\n        range.collapse(false);\n        selection.removeAllRanges();\n        selection.addRange(range);\n      } catch {}\n    }\n    return node;\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: false,\n    awaitPromise: false,\n    includeCommandLineAPI: false\n  }).catch(() => null);\n  const objectId = String(result?.result?.objectId || '');\n  if (!objectId) return { objectId: '', nodeId: 0, point, selector };\n  const requested = await chrome.debugger.sendCommand(target, 'DOM.requestNode', { objectId }).catch(() => null);\n  const nodeId = Number(requested?.nodeId || 0);\n  return { objectId, nodeId, point, selector };\n}\n\nasync function debuggerFocusObject(target, objectId = '') {\n  if (!objectId) return null;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      try { this.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n      try { this.focus({ preventScroll: true }); } catch { try { this.focus(); } catch {} }\n      if (this.isContentEditable) {\n        try {\n          const selection = window.getSelection();\n          const range = document.createRange();\n          range.selectNodeContents(this);\n          range.collapse(false);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        } catch {}\n      }\n      const rect = this.getBoundingClientRect();\n      return { left: rect.left, top: rect.top, width: rect.width, height: rect.height, tag: this.tagName || '', id: this.id || '' };\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return result?.result?.value || null;\n}\n\nasync function debuggerPasteClipboard(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4,\n    commands: ['Paste']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4\n  });\n}\n\nasync function withTabDebugger(tabId, operation) {\n  if (!Number.isInteger(Number(tabId))) throw new Error('无法确定当前 BOSS 标签页');\n  const id = Number(tabId);\n  const previous = debuggerLocks.get(id) || Promise.resolve();\n  let release;\n  const current = new Promise(resolve => { release = resolve; });\n  const queueEntry = previous.then(() => current);\n  debuggerLocks.set(id, queueEntry);\n  await previous;\n  const target = { tabId: id };\n  let attached = false;\n  try {\n    await chrome.debugger.attach(target, '1.3');\n    attached = true;\n    await debuggerBringToFront(target);\n    return await operation(target);\n  } catch (error) {\n    const message = String(error?.message || error || '');\n    if (/Another debugger is already attached|Cannot attach to this target|DevTools/i.test(message)) {\n      throw new Error('Chrome 调试通道正被 DevTools 或其他工具占用，请关闭该 BOSS 页面的开发者工具后重试');\n    }\n    throw error;\n  } finally {\n    if (attached) await chrome.debugger.detach(target).catch(() => {});\n    release?.();\n    if (debuggerLocks.get(id) === queueEntry) debuggerLocks.delete(id);\n  }\n}\n\nasync function debuggerMouseClick(target, point) {\n  const { x, y } = validPoint(point);\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseMoved', x, y, button: 'none', buttons: 0\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mousePressed', x, y, button: 'left', buttons: 1, clickCount: 1\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseReleased', x, y, button: 'left', buttons: 0, clickCount: 1\n  });\n}\n\nasync function debuggerDocumentNode(target) {\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getDocument', {\n    depth: -1,\n    pierce: true\n  });\n  const nodeId = Number(result?.root?.nodeId || 0);\n  if (!nodeId) throw new Error('无法读取当前 BOSS 页面 DOM');\n  return nodeId;\n}\n\nasync function debuggerNodeBySelector(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return 0;\n  const rootNodeId = await debuggerDocumentNode(target);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.querySelector', {\n    nodeId: rootNodeId,\n    selector: normalized\n  });\n  return Number(result?.nodeId || 0);\n}\n\nasync function debuggerFocusTarget(target, message = {}) {\n  await debuggerBringToFront(target);\n\n  // 必须优先锁定 content script 临时标记的真实编辑节点。旧版先取坐标节点，\n  // BOSS 页面上经常命中编辑器外壳/透明层，导致看似有光标但文字没有进入编辑器。\n  const exact = await debuggerFindEditableObject(target, message).catch(() => ({ objectId: '', nodeId: 0 }));\n  if (exact.objectId) {\n    const rect = await debuggerFocusObject(target, exact.objectId);\n    if (rect && Number(rect.width) > 0 && Number(rect.height) > 0) {\n      const clickPoint = {\n        x: Math.round(Number(rect.left) + Math.max(8, Math.min(Number(rect.width) - 8, Number(rect.width) * 0.5))),\n        y: Math.round(Number(rect.top) + Math.max(8, Math.min(Number(rect.height) - 8, Number(rect.height) * 0.5)))\n      };\n      await debuggerMouseClick(target, clickPoint).catch(() => {});\n      await debuggerFocusObject(target, exact.objectId);\n      return { method: 'exact-selector-object-focus+click', ...exact, point: clickPoint, rect };\n    }\n    return { method: 'exact-selector-object-focus', ...exact, rect };\n  }\n\n  const pointNode = await debuggerNodeAtPoint(target, message.point).catch(() => ({ nodeId: 0, backendNodeId: 0 }));\n  if (pointNode.nodeId || pointNode.backendNodeId) {\n    const args = pointNode.nodeId ? { nodeId: pointNode.nodeId } : { backendNodeId: pointNode.backendNodeId };\n    await chrome.debugger.sendCommand(target, 'DOM.focus', args).catch(() => {});\n    await debuggerMouseClick(target, message.point).catch(() => {});\n    const objectId = await debuggerResolveNodeObject(target, pointNode).catch(() => '');\n    return { method: 'point-node-focus+click', ...pointNode, objectId };\n  }\n\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0, objectId: '' };\n}\n\nasync function debuggerClickTarget(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  if (selector) {\n    const nodeId = await debuggerNodeBySelector(target, selector);\n    if (nodeId) {\n      await chrome.debugger.sendCommand(target, 'DOM.scrollIntoViewIfNeeded', { nodeId }).catch(() => {});\n      const model = await chrome.debugger.sendCommand(target, 'DOM.getBoxModel', { nodeId });\n      const quad = model?.model?.content || model?.model?.border || [];\n      if (Array.isArray(quad) && quad.length >= 8) {\n        const xs = [quad[0], quad[2], quad[4], quad[6]].map(Number);\n        const ys = [quad[1], quad[3], quad[5], quad[7]].map(Number);\n        await debuggerMouseClick(target, {\n          x: xs.reduce((sum, value) => sum + value, 0) / xs.length,\n          y: ys.reduce((sum, value) => sum + value, 0) / ys.length\n        });\n        return { method: 'dom-box-click', nodeId };\n      }\n    }\n  }\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0 };\n}\n\nasync function debuggerReadTargetText(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return '';\n  const expression = `(() => {\n    const element = document.querySelector(${JSON.stringify(normalized)});\n    if (!element) return '';\n    if ('value' in element) return String(element.value || '');\n    return String(element.innerText || element.textContent || '');\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: true,\n    awaitPromise: false\n  });\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerSelectAll(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4, commands: ['SelectAll']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4\n  });\n}\n\nasync function debuggerPressEnter(target) {\n  // 与 Selenium/Playwright 的真实 Enter 等价：rawKeyDown 携带回车文本后再 keyUp。\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13, text: '\\r', unmodifiedText: '\\r'\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13\n  });\n}\n\nasync function debuggerTypeText(target, text) {\n  const value = String(text || '');\n  for (const character of value) {\n    await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n      type: 'char',\n      text: character,\n      unmodifiedText: character\n    });\n    await new Promise(resolve => setTimeout(resolve, 12));\n  }\n}\n\nasync function mainWorldWriteChatText(tabId, selector, text) {\n  const normalizedSelector = String(selector || '').trim();\n  const desired = String(text || '');\n  if (!normalizedSelector || !desired.trim()) throw new Error('聊天输入目标或招呼语为空');\n  const results = await chrome.scripting.executeScript({\n    target: { tabId: Number(tabId) },\n    world: 'MAIN',\n    func: (exactSelector, nextText) => {\n      const normalizeText = value => String(value || '').replace(/\\s+/g, '').trim();\n      const isEditable = node => {\n        if (!node || typeof node.matches !== 'function') return false;\n        const tag = String(node.tagName || '').toLowerCase();\n        if (tag === 'textarea') return true;\n        if (tag === 'input') {\n          const type = String(node.getAttribute('type') || 'text').toLowerCase();\n          return ['text', 'search', ''].includes(type);\n        }\n        const editableMode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n        return node.isContentEditable\n          || Boolean(editableMode && !['false', 'inherit', 'off'].includes(editableMode))\n          || node.getAttribute('role') === 'textbox'\n          || node.getAttribute('data-slate-editor') === 'true'\n          || node.getAttribute('data-lexical-editor') === 'true';\n      };\n      const deepQuery = (rootNode, query) => {\n        if (!rootNode) return null;\n        try {\n          const direct = rootNode.querySelector?.(query);\n          if (direct) return direct;\n        } catch {}\n        let elements = [];\n        try { elements = [...(rootNode.querySelectorAll?.('*') || [])]; } catch {}\n        for (const element of elements) {\n          if (element.shadowRoot) {\n            const found = deepQuery(element.shadowRoot, query);\n            if (found) return found;\n          }\n        }\n        return null;\n      };\n      const root = deepQuery(document, exactSelector);\n      if (!root) return { ok: false, reason: 'selector-not-found' };\n      const editor = isEditable(root)\n        ? root\n        : [...root.querySelectorAll('textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]')].find(isEditable);\n      if (!editor) return { ok: false, reason: 'editable-not-found', rootTag: String(root.tagName || '') };\n\n      const readValue = () => {\n        if ('value' in editor && !editor.isContentEditable) return String(editor.value || '');\n        return String(editor.innerText || editor.textContent || '');\n      };\n      const dispatchInput = (inputType, data) => {\n        try {\n          editor.dispatchEvent(new InputEvent('input', {\n            bubbles: true,\n            cancelable: false,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          editor.dispatchEvent(new Event('input', { bubbles: true, composed: true }));\n        }\n      };\n      const dispatchBeforeInput = (inputType, data) => {\n        try {\n          return editor.dispatchEvent(new InputEvent('beforeinput', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          return true;\n        }\n      };\n\n      editor.scrollIntoView?.({ block: 'nearest', inline: 'nearest', behavior: 'instant' });\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const previous = readValue();\n      const tag = String(editor.tagName || '').toLowerCase();\n      let method = '';\n\n      if ((tag === 'textarea' || tag === 'input') && 'value' in editor) {\n        const proto = tag === 'textarea' ? HTMLTextAreaElement.prototype : HTMLInputElement.prototype;\n        const setter = Object.getOwnPropertyDescriptor(proto, 'value')?.set;\n        dispatchBeforeInput('deleteByCut', null);\n        if (setter) setter.call(editor, ''); else editor.value = '';\n        dispatchInput('deleteByCut', null);\n        const tracker = editor._valueTracker;\n        if (tracker?.setValue) tracker.setValue(previous);\n        dispatchBeforeInput('insertText', nextText);\n        if (setter) setter.call(editor, nextText); else editor.value = nextText;\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        method = 'main-native-value-setter';\n      } else {\n        const selection = window.getSelection?.();\n        if (selection && document.createRange) {\n          const range = document.createRange();\n          range.selectNodeContents(editor);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        }\n        dispatchBeforeInput('deleteContentBackward', null);\n        let inserted = false;\n        try {\n          const transfer = new DataTransfer();\n          transfer.setData('text/plain', nextText);\n          const pasteEvent = new ClipboardEvent('paste', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            clipboardData: transfer\n          });\n          editor.dispatchEvent(pasteEvent);\n          inserted = normalizeText(readValue()).includes(normalizeText(nextText));\n        } catch {\n          inserted = false;\n        }\n        if (!inserted) {\n          try {\n            inserted = Boolean(document.execCommand?.('insertText', false, nextText));\n          } catch {\n            inserted = false;\n          }\n        }\n        if (!inserted || !normalizeText(readValue()).includes(normalizeText(nextText))) {\n          try {\n            editor.replaceChildren(document.createTextNode(nextText));\n          } catch {\n            editor.textContent = nextText;\n          }\n        }\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        try {\n          editor.dispatchEvent(new CompositionEvent('compositionend', { bubbles: true, composed: true, data: nextText }));\n        } catch {}\n        method = inserted ? 'main-exec-command' : 'main-contenteditable-replace';\n      }\n\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const actual = readValue();\n      const compactExpected = normalizeText(nextText);\n      const compactActual = normalizeText(actual);\n      return {\n        ok: Boolean(compactActual && compactActual.includes(compactExpected)),\n        method,\n        actual,\n        tag,\n        id: String(editor.id || ''),\n        className: String(editor.className || '').slice(0, 180),\n        contenteditable: String(editor.getAttribute?.('contenteditable') || ''),\n        role: String(editor.getAttribute?.('role') || '')\n      };\n    },\n    args: [normalizedSelector, desired]\n  });\n  return results?.[0]?.result || { ok: false, reason: 'main-world-no-result' };\n}\n\nasync function trustedChatInput(tabId, message = {}) {\n  const action = String(message.action || '');\n  if (action === 'replaceText' || action === 'replaceTextAndEnter') {\n    const text = String(message.text || '');\n    if (!text.trim()) throw new Error('待输入的招呼语为空');\n    const compactExpected = text.replace(/\\s+/g, '');\n\n    // 写入和 Enter 必须在同一次 debugger 会话、同一个精确编辑节点上完成。\n    // 这是 Selenium sendKeys / Playwright locator.type + Enter 的同类浏览器级路径，\n    // 避免旧版“聚焦了外壳、文字没有进入真实编辑器”的问题。\n    return withTabDebugger(tabId, async target => {\n      let focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n\n      const readExact = async () => debuggerReadObjectText(target, focus.objectId);\n      const refocus = async () => {\n        const refreshed = await debuggerFocusTarget(target, message);\n        if (refreshed.objectId) focus = refreshed;\n        if (!focus.objectId) throw new Error('BOSS 聊天编辑节点已失效');\n        return focus;\n      };\n      const matches = value => {\n        const compact = String(value || '').replace(/\\s+/g, '');\n        return Boolean(compact && (compact === compactExpected || compact.includes(compactExpected)));\n      };\n\n      let actual = '';\n      let writeMethod = '';\n\n      // 1) 精确对象聚焦后使用 CDP Input.insertText，最接近真实键盘输入。\n      await debuggerSelectAll(target);\n      await chrome.debugger.sendCommand(target, 'Input.insertText', { text });\n      await new Promise(resolve => setTimeout(resolve, 700));\n      actual = await readExact();\n      writeMethod = 'exact-cdp-insert-text';\n\n      // 2) 某些富文本编辑器只响应原生 paste。\n      if (!matches(actual) && await writeClipboardText(text)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerPasteClipboard(target);\n        await new Promise(resolve => setTimeout(resolve, 900));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-clipboard-paste';\n      }\n\n      // 3) React/Vue 受控编辑器可能需要主世界 setter/beforeinput/input。\n      if (!matches(actual)) {\n        const mainWrite = await mainWorldWriteChatText(tabId, message.selector, text).catch(error => ({\n          ok: false,\n          reason: String(error?.message || error || 'main-world-write-failed')\n        }));\n        await refocus();\n        await new Promise(resolve => setTimeout(resolve, 650));\n        actual = await readExact();\n        writeMethod = mainWrite?.method || 'main-world-write';\n      }\n\n      // 4) 最后兜底为逐字符可信键盘输入，仍锁定同一个真实节点。\n      if (!matches(actual)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerTypeText(target, text);\n        await new Promise(resolve => setTimeout(resolve, 1000));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-keyboard-type';\n      }\n\n      if (!matches(actual)) {\n        throw new Error(`文字没有进入 BOSS 真实聊天编辑器；实际长度=${String(actual || '').length}`);\n      }\n\n      if (action === 'replaceTextAndEnter') {\n        await refocus();\n        // 给 BOSS 受控状态一次提交渲染机会，再发送真实 Enter。\n        await new Promise(resolve => setTimeout(resolve, 520));\n        await debuggerPressEnter(target);\n      }\n\n      return {\n        ok: true,\n        action,\n        length: text.length,\n        insertedBeforeSend: true,\n        writeMethod,\n        actualLength: String(actual || '').length,\n        focusMethod: focus.method,\n        editor: {\n          nodeId: Number(focus.nodeId || 0),\n          selector: String(message.selector || '')\n        }\n      };\n    });\n  }\n\n  return withTabDebugger(tabId, async target => {\n    if (action === 'pressEnter') {\n      const focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n      await new Promise(resolve => setTimeout(resolve, 320));\n      await debuggerPressEnter(target);\n      return { ok: true, action, focusMethod: focus.method };\n    }\n    if (action === 'click') {\n      const click = await debuggerClickTarget(target, message);\n      return { ok: true, action, clickMethod: click.method };\n    }\n    throw new Error('不支持的可信输入动作');\n  });\n}\n\nasync function init() {\n  const current = await storage.all();\n  const patch = {};\n  for (const [key, value] of Object.entries(DEFAULTS)) {\n    if (current[key] === undefined) patch[key] = value;\n  }\n  if (!current.ui9ModeMigration) {\n    const currentConfig = current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...currentConfig,\n      executionMode: currentConfig.executionMode === 'auto' ? 'auto' : 'review',\n      dailyTarget: Number(currentConfig.dailyTarget || 0) === 40 ? 150 : Number(currentConfig.dailyTarget || 150)\n    };\n    patch.ui9ModeMigration = true;\n  }\n  if (!current.ui10UnlimitedV4Migration) {\n    const baseConfig = patch.config || current.config || {};\n    const baseModel = { ...DEFAULTS.config.model, ...(baseConfig.model || {}) };\n    const baseUrl = String(baseModel.baseUrl || DEFAULTS.config.model.baseUrl);\n    const modelName = String(baseModel.model || '').trim();\n    const isDeepSeek = /deepseek\\.com/i.test(baseUrl);\n    const legacyDeepSeekModel = !modelName || ['deepseek-chat', 'deepseek-reasoner', 'deepseek-v4'].includes(modelName);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      discoveryLimit: 0,\n      model: {\n        ...baseModel,\n        model: isDeepSeek && legacyDeepSeekModel ? 'deepseek-v4-pro' : (modelName || 'deepseek-v4-pro')\n      }\n    };\n    patch.ui10UnlimitedV4Migration = true;\n  }\n  if (!current.ui20ReliableSendMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(8, Math.min(30, Number(baseConfig.betweenJobsSeconds || 8))),\n      attachmentDelaySeconds: Math.max(1, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 2)))\n    };\n    patch.ui20ReliableSendMigration = true;\n  }\n  if (!current.ui21ConversationBindingMigration) {\n    patch.chatTransition = null;\n    patch.chatDeliveryLedger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object'\n      ? current.chatDeliveryLedger\n      : {};\n    patch.ui21ConversationBindingMigration = true;\n  }\n  if (!current.ui22StrictTranscriptMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(12, Math.min(30, Number(baseConfig.betweenJobsSeconds || 12))),\n      attachmentDelaySeconds: Math.max(4, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 4)))\n    };\n    patch.ui22StrictTranscriptMigration = true;\n  }\n  if (!current.ui24VerifiedConversationMigration) {\n    patch.chatTransition = null;\n    patch.ui24VerifiedConversationMigration = true;\n  }\n  if (!current.ui27TrustedInputMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      phase: 'idle',\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '可信发送引擎已升级，请重新开始任务'\n    };\n    patch.chatTransition = null;\n    patch.ui27TrustedInputMigration = true;\n  }\n  if (!current.ui12ProfileDraftMigration) {\n    let migratedProfile = current.profile && typeof current.profile === 'object' ? current.profile : null;\n    let migratedDraft = current.profileDraft && typeof current.profileDraft === 'object'\n      ? normalizeProfileDraft(current.profileDraft)\n      : null;\n    if (!profileDraftHasAny(migratedDraft) && profileHasCore(migratedProfile)) {\n      migratedDraft = profileToDraft(migratedProfile, 'migration');\n    }\n    if (!profileDraftHasCore(migratedDraft) && String(current.resumeText || '').trim().length >= 30) {\n      try {\n        migratedProfile = buildLocalProfile(current.resumeText || '');\n        migratedProfile.generation.mode = 'local-recovery';\n        migratedProfile.generation.label = '本地初稿';\n        migratedProfile.generation.warning = '已从保存的简历恢复初稿。';\n        migratedDraft = profileToDraft(migratedProfile, 'recovery');\n        patch.profile = migratedProfile;\n      } catch {\n        // 简历内容不足时只保留现有数据，不生成空画像。\n      }\n    }\n    if (profileDraftHasAny(migratedDraft)) patch.profileDraft = migratedDraft;\n    patch.ui12ProfileDraftMigration = true;\n  }\n  if (!current.ui37DirectionPlanMigration) {\n    const profileForPlan = patch.profile || current.profile || null;\n    const existingPlan = current.directionPlan && typeof current.directionPlan === 'object'\n      ? current.directionPlan\n      : null;\n    if (profileHasCore(profileForPlan)) {\n      patch.directionPlan = buildDirectionPlan(profileForPlan, existingPlan, {\n        confirmed: Boolean(existingPlan?.confirmed),\n        preserveSelections: true,\n        preserveEdits: true,\n        preserveCustom: true\n      });\n    } else if (existingPlan) {\n      patch.directionPlan = normalizeDirectionPlan(existingPlan, profileForPlan);\n    }\n    patch.ui37DirectionPlanMigration = true;\n  }\n  if (!current.ui18TaskProgressMigration) {\n    const migratedPending = Array.isArray(current.pending) ? current.pending.map(entry => ({ ...entry })) : [];\n    const migratedRuns = Array.isArray(current.taskRuns) ? current.taskRuns.map(run => normalizeTaskRun(run, run)) : [];\n    for (let index = 0; index < migratedPending.length; index += 1) {\n      const item = migratedPending[index];\n      let run = migratedRuns.find(entry => entry.id === item.runId || entry.pendingId === item.id);\n      if (!run) {\n        const statusMap = {\n          pending: ['waiting_review', 'waiting_review', 60],\n          approved: ['running', 'queued', 64],\n          approved_queue: ['queued', 'queued', 64],\n          sent: ['success', 'success', 100],\n          failed: ['failed', 'failed', 100],\n          rejected: ['ignored', 'ignored', 100]\n        };\n        const [status, stage, progress] = statusMap[item.status] || ['skipped', 'skipped', 100];\n        run = normalizeTaskRun({\n          id: crypto.randomUUID(),\n          pendingId: item.id,\n          job: item.job,\n          analysis: item.analysis,\n          searchTask: item.task,\n          status,\n          stage,\n          progress,\n          error: item.error || '',\n          retryable: item.status === 'failed',\n          createdAt: item.createdAt || Date.now(),\n          completedAt: ['sent', 'failed', 'rejected'].includes(item.status) ? (item.completedAt || item.rejectedAt || Date.now()) : null\n        });\n        migratedRuns.push(run);\n      }\n      migratedPending[index] = { ...item, runId: run.id };\n    }\n    const workflow = { ...DEFAULTS.workflow, ...(current.workflow || {}) };\n    workflow.tasks = (workflow.tasks || []).map((task, index) => ({\n      ...task,\n      id: task.id || crypto.randomUUID(),\n      status: task.status || (index < Number(workflow.taskIndex || 0) ? 'completed' : index === Number(workflow.taskIndex || 0) && workflow.running ? 'running' : 'pending'),\n      progress: Number.isFinite(Number(task.progress)) ? Number(task.progress) : (index < Number(workflow.taskIndex || 0) ? 100 : 0),\n      stageLabel: task.stageLabel || (index < Number(workflow.taskIndex || 0) ? '已完成' : '等待开始'),\n      processed: Number(task.processed || 0),\n      discovered: Number(task.discovered || 0),\n      analyzed: Number(task.analyzed || 0),\n      failed: Number(task.failed || 0)\n    }));\n    patch.pending = migratedPending;\n    patch.taskRuns = migratedRuns;\n    patch.workflow = workflow;\n    patch.ui18TaskProgressMigration = true;\n  }\n  if (!current.ui20GreetingLockMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = basePending.map(item => ({\n      ...item,\n      deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim()\n    }));\n    patch.ui20GreetingLockMigration = true;\n  }\n  if (!current.ui30AtomicSendSortMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '投递引擎与岗位自动排序已升级，请重新开始'\n    };\n    patch.chatTransition = null;\n    patch.ui30AtomicSendSortMigration = true;\n  }\n  if (!current.ui31ConversationSelectionMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话选择与身份核对已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui31ConversationSelectionMigration = true;\n  }\n  if (!current.ui35ConversationKeyMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话锁已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui35ConversationKeyMigration = true;\n  }\n  if (Object.keys(patch).length) await storage.set(patch);\n  const { stats } = await storage.get('stats');\n  if (!stats || stats.date !== today()) {\n    await storage.set({ stats: { ...DEFAULTS.stats, date: today() } });\n  }\n  await refreshBossTabsForRuntimeVersion();\n  await chrome.sidePanel.setPanelBehavior({ openPanelOnActionClick: true }).catch(() => {});\n  chrome.alarms.create('jobclaw-tick', { periodInMinutes: 1 });\n}\n\nfunction publicState(all) {\n  const state = safeClone(all);\n  if (state?.config?.model) {\n    state.config.model.apiKey = state.config.model.apiKey ? '***' : '';\n  }\n  if (state?.resumeImage) state.resumeImage = '[已保存]';\n  if (state?.resumeSourceFile) {\n    const { name, type, size, lastModified } = state.resumeSourceFile;\n    state.resumeSourceFile = { name, type, size, lastModified, stored: true };\n  }\n  return state;\n}\n\nasync function writeEvent(level, message, data = {}) {\n  const { events = [] } = await storage.get('events');\n  const event = { id: crypto.randomUUID(), ts: Date.now(), level, message, data };\n  events.unshift(event);\n  await storage.set({ events: events.slice(0, 300) });\n  bridge('/sync', { event }).catch(() => {});\n  return event;\n}\n\nasync function patchWorkflow(patch) {\n  const { workflow } = await storage.get('workflow');\n  const next = { ...DEFAULTS.workflow, ...(workflow || {}), ...(patch || {}) };\n  await storage.set({ workflow: next });\n  return next;\n}\n\nasync function changeStats(delta = {}) {\n  const { stats } = await storage.get('stats');\n  const next = { ...DEFAULTS.stats, ...(stats || {}), date: today() };\n  for (const [key, value] of Object.entries(delta)) {\n    next[key] = Math.max(0, Number(next[key] || 0) + Number(value || 0));\n  }\n  await storage.set({ stats: next });\n  return next;\n}\n\n\nconst TERMINAL_RUN_STATUSES = new Set(['success', 'failed', 'ignored', 'skipped']);\nconst TASK_STAGE_META = {\n  discovered: ['已发现岗位', 12],\n  collect_detail: ['读取岗位详情', 24],\n  ai_analyze: ['AI 匹配分析', 42],\n  ai_complete: ['AI 分析完成', 56],\n  waiting_review: ['等待人工确认', 60],\n  queued: ['等待投递', 64],\n  retry_queued: ['等待重新投递', 66],\n  open_job: ['打开岗位页面', 70],\n  open_chat: ['打开沟通窗口', 78],\n  verify_chat_target: ['核对 HR 与岗位', 82],\n  fill_message: ['填写求职招呼语', 86],\n  send_message: ['发送求职招呼语', 90],\n  verify_message: ['确认文字已发送', 94],\n  send_resume: ['发送简历附件', 97],\n  verify_result: ['确认投递结果', 98],\n  success: ['投递成功', 100],\n  failed: ['投递失败', 100],\n  ignored: ['已忽略', 100],\n  skipped: ['未达到推荐条件', 100]\n};\n\nfunction taskStageMeta(stage, label = '', progress = null) {\n  const meta = TASK_STAGE_META[stage] || [label || stage || '处理中', 0];\n  return {\n    label: String(label || meta[0] || '处理中'),\n    progress: Math.max(0, Math.min(100, Number(progress ?? meta[1] ?? 0)))\n  };\n}\n\nfunction runJobKey(job = {}) {\n  return String(job.jobId || job.encryptJobId || job.url || [job.title, job.company, job.location].filter(Boolean).join('|') || '').trim();\n}\n\nfunction normalizeTaskRun(input = {}, existing = {}) {\n  const now = Date.now();\n  const stage = String(input.stage || existing.stage || 'discovered');\n  const meta = taskStageMeta(stage, input.stageLabel, input.progress);\n  const status = String(input.status || existing.status || 'running');\n  const terminal = TERMINAL_RUN_STATUSES.has(status);\n  return {\n    ...existing,\n    ...input,\n    id: input.id || existing.id || crypto.randomUUID(),\n    jobKey: input.jobKey || existing.jobKey || runJobKey(input.job || existing.job || {}),\n    status,\n    stage,\n    stageLabel: meta.label,\n    progress: meta.progress,\n    createdAt: existing.createdAt || input.createdAt || now,\n    startedAt: existing.startedAt || input.startedAt || (status === 'running' ? now : null),\n    updatedAt: now,\n    completedAt: terminal ? (input.completedAt || existing.completedAt || now) : null,\n    retryCount: Math.max(0, Number(input.retryCount ?? existing.retryCount ?? 0)),\n    error: String(input.error ?? existing.error ?? ''),\n    retryable: input.retryable ?? existing.retryable ?? Boolean(input.pendingId || existing.pendingId)\n  };\n}\n\nasync function upsertTaskRun(patch = {}) {\n  const { taskRuns = [] } = await storage.get('taskRuns');\n  const jobKey = patch.jobKey || runJobKey(patch.job || {});\n  const index = taskRuns.findIndex(run => run.id === patch.id || (jobKey && run.jobKey === jobKey && !TERMINAL_RUN_STATUSES.has(run.status)));\n  const existing = index >= 0 ? taskRuns[index] : {};\n  const nextRun = normalizeTaskRun({ ...patch, jobKey }, existing);\n  const next = index >= 0\n    ? taskRuns.map((run, runIndex) => runIndex === index ? nextRun : run)\n    : [nextRun, ...taskRuns];\n  await storage.set({ taskRuns: next });\n  return nextRun;\n}\n\nasync function updateTaskRunByPending(pendingId, patch = {}) {\n  if (!pendingId) return null;\n  const { pending = [], taskRuns = [] } = await storage.get(['pending', 'taskRuns']);\n  const item = pending.find(entry => entry.id === pendingId);\n  const run = taskRuns.find(entry => entry.id === item?.runId || entry.pendingId === pendingId);\n  if (!run && !item) return null;\n  return upsertTaskRun({\n    id: run?.id || item?.runId,\n    pendingId,\n    job: item?.job || run?.job,\n    analysis: item?.analysis || run?.analysis,\n    searchTask: item?.task || run?.searchTask,\n    ...patch\n  });\n}\n\nasync function updateSearchTaskProgress(message = {}) {\n  const { workflow } = await storage.get('workflow');\n  const nextWorkflow = { ...DEFAULTS.workflow, ...(workflow || {}) };\n  const tasks = Array.isArray(nextWorkflow.tasks) ? [...nextWorkflow.tasks] : [];\n  const index = tasks.findIndex(task => task.id === message.taskId);\n  const fallbackIndex = Number.isInteger(message.taskIndex) ? message.taskIndex : -1;\n  const targetIndex = index >= 0 ? index : fallbackIndex;\n  if (targetIndex < 0 || targetIndex >= tasks.length) return null;\n  const current = tasks[targetIndex] || {};\n  const progress = Math.max(0, Math.min(100, Number(message.progress ?? current.progress ?? 0)));\n  tasks[targetIndex] = {\n    ...current,\n    status: message.status || current.status || 'pending',\n    stageLabel: message.stageLabel || current.stageLabel || '',\n    progress,\n    processed: Math.max(0, Number(message.processed ?? current.processed ?? 0)),\n    discovered: Math.max(0, Number(message.discovered ?? current.discovered ?? 0)),\n    analyzed: Math.max(0, Number(message.analyzed ?? current.analyzed ?? 0)),\n    failed: Math.max(0, Number(message.failed ?? current.failed ?? 0)),\n    updatedAt: Date.now(),\n    completedAt: message.status === 'completed' ? Date.now() : current.completedAt || null\n  };\n  nextWorkflow.tasks = tasks;\n  await storage.set({ workflow: nextWorkflow });\n  return tasks[targetIndex];\n}\n\nasync function retryFailedTask(runId) {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  if (run.status === 'success') throw new Error('该岗位已经投递成功，不会重复投递');\n  if (workflow.running && (workflow.activeRunId === run.id || workflow.pendingApplyId === run.pendingId)) {\n    throw new Error('该失败任务正在重试，请等待当前结果');\n  }\n  if (Number(run.retryRequestedAt || 0) > Date.now() - 15000) {\n    throw new Error('该任务刚刚提交过重试，请稍后查看结果');\n  }\n  let item = pending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n  if (!item && run.job && run.analysis) {\n    item = {\n      id: crypto.randomUUID(),\n      runId: run.id,\n      job: run.job,\n      analysis: run.analysis,\n      deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n      task: run.searchTask || {},\n      status: 'approved',\n      createdAt: Date.now(),\n      approvedAt: Date.now()\n    };\n  }\n  if (!item) throw new Error('该历史任务缺少岗位或招呼语信息，无法直接重试');\n  if (item.status === 'sent') throw new Error('该岗位已经投递成功，不会重复投递');\n  item = {\n    ...item,\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: 'approved', error: '', approvedAt: Date.now(), runId: run.id\n  };\n  const nextPending = pending.some(entry => entry.id === item.id)\n    ? pending.map(entry => entry.id === item.id ? item : entry)\n    : [item, ...pending];\n  await storage.set({ pending: rerankPending(nextPending) });\n  await upsertTaskRun({\n    id: run.id,\n    pendingId: item.id,\n    job: item.job,\n    analysis: item.analysis,\n    searchTask: item.task,\n    status: 'running',\n    stage: 'retry_queued',\n    progress: 66,\n    stageLabel: '等待重新投递',\n    error: '',\n    retryable: true,\n    retryCount: Number(run.retryCount || 0) + 1,\n    retryRequestedAt: Date.now(),\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `正在重新投递：${item.job?.title || '岗位'}`,\n    pendingApplyId: item.id,\n    activeRunId: run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n    setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  } catch (error) {\n    await upsertTaskRun({ id: run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '重新投递启动失败', error: error.message, retryable: true });\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '重新投递启动失败' });\n    throw error;\n  }\n  return { runId: run.id, pendingId: item.id };\n}\n\nasync function retryAllFailedTasks() {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  if (workflow.running && workflow.activeRunId) {\n    throw new Error('当前已有投递任务正在执行，请等待完成后再批量重试');\n  }\n  const failedRuns = taskRuns.filter(run => run.status === 'failed'\n    && run.retryable !== false\n    && Number(run.retryRequestedAt || 0) <= Date.now() - 15000);\n  if (!failedRuns.length) return { count: 0 };\n  const nextPending = [...pending];\n  const queue = [];\n  for (const run of failedRuns) {\n    if (run.status === 'success') continue;\n    let item = nextPending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n    if (!item && run.job && run.analysis) {\n      item = {\n        id: crypto.randomUUID(), runId: run.id, job: run.job, analysis: run.analysis,\n        deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n        task: run.searchTask || {}, createdAt: Date.now()\n      };\n      nextPending.unshift(item);\n    }\n    if (!item || item.status === 'sent') continue;\n    item.deliveryGreeting = String(item.deliveryGreeting || item.analysis?.greeting || '').trim();\n    item.status = queue.length ? 'approved_queue' : 'approved';\n    item.approvedAt = Date.now();\n    item.error = '';\n    const pendingIndex = nextPending.findIndex(entry => entry.id === item.id);\n    if (pendingIndex >= 0) nextPending[pendingIndex] = { ...item };\n    queue.push({ run, item });\n  }\n  if (!queue.length) return { count: 0 };\n  await storage.set({ pending: rerankPending(nextPending) });\n  for (const [index, entry] of queue.entries()) {\n    await upsertTaskRun({\n      id: entry.run.id,\n      pendingId: entry.item.id,\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'retry_queued',\n      progress: 66,\n      stageLabel: index === 0 ? '正在重新投递' : '等待重新投递',\n      error: '',\n      retryable: true,\n      retryCount: Number(entry.run.retryCount || 0) + 1,\n      retryRequestedAt: Date.now(),\n      completedAt: null\n    });\n  }\n  const first = queue[0];\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `重新投递 1/${queue.length}：${first.item.job?.title || '岗位'}`,\n    pendingApplyId: first.item.id,\n    activeRunId: first.run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n  } catch (error) {\n    for (const entry of queue) {\n      await upsertTaskRun({ id: entry.run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '批量重试启动失败', error: error.message, retryable: true });\n    }\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '批量重试启动失败' });\n    throw error;\n  }\n  return { count: queue.length };\n}\n\nasync function ignoreFailedTask(runId) {\n  const { taskRuns = [], pending = [] } = await storage.get(['taskRuns', 'pending']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  const nextPending = pending.map(entry => entry.id === run.pendingId || entry.runId === run.id\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: nextPending });\n  return upsertTaskRun({ id: run.id, status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\nconst BOSS_URL_PATTERN = /^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i;\nconst NO_RECEIVER_PATTERN = /Could not establish connection|Receiving end does not exist|message port closed|No tab with id/i;\nconst wait = ms => new Promise(resolve => setTimeout(resolve, ms));\n\nfunction receiverMatchesExpectedVersion(probe) {\n  return Boolean(probe?.ok && probe.contentVersion === EXPECTED_CONTENT_VERSION && probe.contentFile === CONTENT_SCRIPT_FILE);\n}\n\nasync function waitForTabReady(tabId, timeout = 16000) {\n  if (!chrome.tabs?.get) {\n    await wait(900);\n    return null;\n  }\n  const startedAt = Date.now();\n  while (Date.now() - startedAt < timeout) {\n    const tab = await chrome.tabs.get(tabId).catch(() => null);\n    if (tab?.status === 'complete') return tab;\n    await wait(180);\n  }\n  return chrome.tabs.get(tabId).catch(() => null);\n}\n\nasync function reloadBossTab(tab, reason = 'runtime-refresh') {\n  if (!tab?.id || !chrome.tabs?.reload) return tab;\n  await chrome.tabs.reload(tab.id, { bypassCache: true });\n  const ready = await waitForTabReady(tab.id);\n  await writeEvent('info', 'BOSS 页面助手已自动刷新', { reason, tabId: tab.id, contentVersion: EXPECTED_CONTENT_VERSION }).catch(() => {});\n  return ready || tab;\n}\n\nasync function refreshBossTabsForRuntimeVersion() {\n  const key = 'bossContentRuntimeVersion';\n  const current = await storage.get(key);\n  if (current?.[key] === EXPECTED_CONTENT_VERSION) return;\n  await storage.set({ [key]: EXPECTED_CONTENT_VERSION });\n  if (!chrome.tabs?.query || !chrome.tabs?.reload) return;\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] }).catch(() => []);\n  for (const tab of tabs || []) {\n    if (!tab?.id) continue;\n    await chrome.tabs.reload(tab.id, { bypassCache: true }).catch(() => {});\n  }\n}\n\nasync function activeBossTab() {\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] });\n  return tabs.find(tab => tab.active) || tabs[0] || null;\n}\n\nfunction bossConnectionError(error) {\n  const message = String(error?.message || error || '');\n  if (NO_RECEIVER_PATTERN.test(message)) {\n    return 'BOSS 页面连接尚未就绪，JobClaw 已尝试自动修复。请刷新当前 BOSS 页面后再点一次开始。';\n  }\n  if (/Cannot access contents of url|The extensions gallery cannot be scripted|Missing host permission/i.test(message)) {\n    return '当前页面无法接入 JobClaw。请确认打开的是 BOSS 直聘岗位页或沟通页。';\n  }\n  return message || 'BOSS 页面连接失败';\n}\n\nasync function probeBossReceiver(tab) {\n  return chrome.tabs.sendMessage(tab.id, { type: 'PROBE', expectedContentVersion: EXPECTED_CONTENT_VERSION });\n}\n\nasync function injectBossContent(tab) {\n  if (!chrome.scripting?.executeScript) throw new Error('扩展缺少页面注入能力，请重新加载最新版 JobClaw');\n  await chrome.scripting.executeScript({\n    target: { tabId: tab.id },\n    files: [CONTENT_SCRIPT_FILE]\n  });\n}\n\nasync function ensureBossReceiver(tab) {\n  if (!tab?.id) throw new Error('请先打开并登录 BOSS 直聘');\n  if (!BOSS_URL_PATTERN.test(String(tab.url || ''))) {\n    throw new Error('请切换到 BOSS 直聘岗位页或沟通页');\n  }\n\n  let probe = null;\n  try {\n    probe = await probeBossReceiver(tab);\n    if (receiverMatchesExpectedVersion(probe)) return probe;\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n  }\n\n  // 能收到响应但版本不一致，说明当前标签页仍保留旧内容脚本。必须整页刷新，\n  // 不能继续在同一页面叠加注入，否则旧 RUN 监听器仍可能执行。\n  if (probe?.ok && !receiverMatchesExpectedVersion(probe)) {\n    tab = await reloadBossTab(tab, `stale-${probe.contentVersion || 'legacy'}`);\n  }\n\n  for (let attempt = 0; attempt < 5; attempt += 1) {\n    await wait(180 + attempt * 140);\n    try {\n      const currentProbe = await probeBossReceiver(tab);\n      if (receiverMatchesExpectedVersion(currentProbe)) return currentProbe;\n      if (currentProbe?.ok && !receiverMatchesExpectedVersion(currentProbe) && attempt === 0) {\n        tab = await reloadBossTab(tab, `mismatch-${currentProbe.contentVersion || 'legacy'}`);\n      }\n    } catch (error) {\n      if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n        throw new Error(bossConnectionError(error));\n      }\n      if (attempt === 1) {\n        try { await injectBossContent(tab); } catch (injectError) { throw new Error(bossConnectionError(injectError)); }\n      }\n    }\n  }\n  throw new Error(`BOSS 页面助手版本未就绪（需要 ${EXPECTED_CONTENT_VERSION}）。JobClaw 已自动刷新页面，请再点一次开始。`);\n}\n\nasync function sendToBossTab(tab, message) {\n  await ensureBossReceiver(tab);\n  try {\n    return await chrome.tabs.sendMessage(tab.id, message);\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n    tab = await reloadBossTab(tab, 'message-receiver-lost');\n    await ensureBossReceiver(tab);\n    try {\n      return await chrome.tabs.sendMessage(tab.id, message);\n    } catch (retryError) {\n      throw new Error(bossConnectionError(retryError));\n    }\n  }\n}\n\nasync function sendToBoss(message) {\n  const tab = await activeBossTab();\n  if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n  return sendToBossTab(tab, message);\n}\n\nasync function bridge(path, body) {\n  const failures = [];\n  const timeoutMs = path === '/parse-resume' ? 190000 : 8000;\n  for (const base of BRIDGE_ENDPOINTS) {\n    const controller = new AbortController();\n    const timeout = setTimeout(() => controller.abort(), timeoutMs);\n    try {\n      const response = await fetch(`${base}${path}`, {\n        method: body ? 'POST' : 'GET',\n        headers: { 'Content-Type': 'application/json' },\n        body: body ? JSON.stringify(body) : undefined,\n        cache: 'no-store',\n        credentials: 'omit',\n        signal: controller.signal\n      });\n      const payload = await response.json().catch(() => ({}));\n      if (!response.ok) throw new Error(payload.error || `增强识别组件返回 HTTP ${response.status}`);\n      return payload;\n    } catch (error) {\n      failures.push(error?.name === 'AbortError' ? '连接超时' : String(error?.message || error));\n    } finally {\n      clearTimeout(timeout);\n    }\n  }\n  const detail = failures.find(message => message && message !== 'Failed to fetch');\n  throw new Error(detail || '增强识别组件未启动');\n}\n\nfunction extractJson(raw) {\n  let text = String(raw || '').trim()\n    .replace(/^```(?:json)?/i, '')\n    .replace(/```$/i, '')\n    .trim();\n  const start = text.indexOf('{');\n  const end = text.lastIndexOf('}');\n  if (start >= 0 && end > start) text = text.slice(start, end + 1);\n  text = text.replace(/,\\s*([}\\]])/g, '$1');\n  return JSON.parse(text);\n}\n\nfunction aiError(code, message, details = {}) {\n  const error = new Error(message);\n  error.code = code;\n  Object.assign(error, details);\n  return error;\n}\n\nfunction aiFailureKind(error) {\n  const code = String(error?.code || '');\n  const message = String(error?.message || '');\n  if (code === 'AI_CONFIG' || /API Key|未配置|401|unauthorized/i.test(message)) return 'config-missing';\n  if (['AI_NETWORK', 'AI_HTTP', 'AI_TIMEOUT'].includes(code) || /HTTP|fetch|网络|超时|服务不可用/i.test(message)) return 'service-error';\n  return 'output-invalid';\n}\n\nfunction isRetryableAiOutputError(error) {\n  return ['AI_TRUNCATED', 'AI_EMPTY', 'AI_INVALID_JSON', 'AI_PROFILE_INCOMPLETE'].includes(String(error?.code || ''));\n}\n\nasync function requestModel(url, payload, apiKey, timeoutMs = 90000) {\n  const controller = new AbortController();\n  const timer = setTimeout(() => controller.abort(), timeoutMs);\n  try {\n    return await fetch(url, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${apiKey}`\n      },\n      body: JSON.stringify(payload),\n      signal: controller.signal\n    });\n  } catch (error) {\n    if (error?.name === 'AbortError') throw aiError('AI_TIMEOUT', 'AI 请求超时');\n    throw aiError('AI_NETWORK', `AI 网络请求失败：${error?.message || '连接异常'}`);\n  } finally {\n    clearTimeout(timer);\n  }\n}\n\nasync function callModel(messages, jsonMode = true, options = {}) {\n  const { config } = await storage.get('config');\n  const model = config?.model || {};\n  if (!model.apiKey) throw aiError('AI_CONFIG', '请先在设置页填写 AI API Key');\n  const url = `${String(model.baseUrl || 'https://api.deepseek.com').replace(/\\/$/, '')}/chat/completions`;\n  const payload = {\n    model: model.model || 'deepseek-v4-pro',\n    messages,\n    temperature: Number(options.temperature ?? model.temperature ?? 0.1),\n    max_tokens: Number(options.maxTokens ?? 2800)\n  };\n  if (jsonMode) payload.response_format = { type: 'json_object' };\n\n  let response = await requestModel(url, payload, model.apiKey, Number(options.timeoutMs || 90000));\n  let bodyText = await response.text();\n\n  // 某些兼容网关不支持 response_format，但仍能正常返回 JSON 文本。\n  if (!response.ok && jsonMode && [400, 404, 422].includes(response.status) && /response[_ -]?format|json_object|unsupported/i.test(bodyText)) {\n    const retryPayload = { ...payload };\n    delete retryPayload.response_format;\n    response = await requestModel(url, retryPayload, model.apiKey, Number(options.timeoutMs || 90000));\n    bodyText = await response.text();\n  }\n\n  if (!response.ok) {\n    throw aiError('AI_HTTP', `AI 请求失败 HTTP ${response.status}: ${bodyText.substring(0, 500)}`, { status: response.status });\n  }\n\n  let result;\n  try {\n    result = JSON.parse(bodyText);\n  } catch {\n    throw aiError('AI_INVALID_RESPONSE', 'AI 接口返回了无法识别的响应');\n  }\n  const choice = result.choices?.[0];\n  const content = String(choice?.message?.content || '').trim();\n  if (!content) throw aiError('AI_EMPTY', 'AI 返回为空');\n  if (choice.finish_reason === 'length') {\n    throw aiError('AI_TRUNCATED', 'AI 输出被截断', { finishReason: choice.finish_reason, partial: content });\n  }\n  if (!jsonMode) return content;\n  try {\n    return extractJson(content);\n  } catch (error) {\n    throw aiError('AI_INVALID_JSON', `AI 返回 JSON 不完整：${error?.message || '解析失败'}`, { partial: content });\n  }\n}\n\nfunction cleanResumeText(value) {\n  return String(value || '')\n    .replace(/\\r/g, '\\n')\n    .replace(/[\\u0000-\\u0008\\u000B\\u000C\\u000E-\\u001F]/g, ' ')\n    .replace(/[ \\t]+/g, ' ')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .trim();\n}\n\nfunction lineMatches(text, pattern, limit = 6) {\n  return uniq(cleanResumeText(text)\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length >= 4 && line.length <= 180 && pattern.test(line)))\n    .slice(0, limit);\n}\n\nfunction extractSkills(text) {\n  const source = cleanResumeText(text);\n  const catalog = [\n    ['JavaScript', /\\bjavascript\\b|\\bjs\\b/i],\n    ['TypeScript', /\\btypescript\\b|\\bts\\b/i],\n    ['HTML', /\\bhtml5?\\b/i],\n    ['CSS', /\\bcss3?\\b|sass|less/i],\n    ['Vue', /\\bvue(?:\\.js|3|2)?\\b/i],\n    ['React', /\\breact(?:\\.js)?\\b/i],\n    ['Next.js', /\\bnext\\.?js\\b/i],\n    ['Node.js', /\\bnode\\.?js\\b/i],\n    ['Express', /\\bexpress\\b/i],\n    ['Vite', /\\bvite\\b/i],\n    ['Webpack', /\\bwebpack\\b/i],\n    ['Tailwind CSS', /\\btailwind\\b/i],\n    ['ECharts', /\\becharts\\b/i],\n    ['D3.js', /\\bd3(?:\\.js)?\\b/i],\n    ['Tauri', /\\btauri\\b/i],\n    ['Electron', /\\belectron\\b/i],\n    ['Chrome Extension', /chrome\\s*(?:extension|扩展)|浏览器扩展/i],\n    ['Python', /\\bpython\\b/i],\n    ['Java', /\\bjava\\b/i],\n    ['C/C++', /\\bc\\+\\+\\b|\\bc语言\\b/i],\n    ['Go', /\\bgolang\\b|\\bgo语言\\b/i],\n    ['SQL', /\\bsql\\b/i],\n    ['MySQL', /\\bmysql\\b/i],\n    ['PostgreSQL', /\\bpostgres(?:ql)?\\b/i],\n    ['Redis', /\\bredis\\b/i],\n    ['Spring Boot', /spring\\s*boot/i],\n    ['Flask', /\\bflask\\b/i],\n    ['Django', /\\bdjango\\b/i],\n    ['FastAPI', /\\bfastapi\\b/i],\n    ['Git', /\\bgit\\b|github/i],\n    ['Docker', /\\bdocker\\b/i],\n    ['Linux', /\\blinux\\b/i],\n    ['Playwright', /\\bplaywright\\b/i],\n    ['Selenium', /\\bselenium\\b/i],\n    ['PyTorch', /\\bpytorch\\b/i],\n    ['TensorFlow', /\\btensorflow\\b/i],\n    ['OpenCV', /\\bopencv\\b/i],\n    ['RAG', /\\brag\\b|检索增强生成/i],\n    ['LLM', /\\bllm\\b|大语言模型|语言模型/i],\n    ['AI Agent', /ai\\s*agent|智能体/i],\n    ['OCR', /\\bocr\\b|文字识别/i],\n    ['数据可视化', /数据可视化|可视化看板/i]\n  ];\n  return catalog.filter(([, pattern]) => pattern.test(source)).map(([name]) => name).slice(0, 40);\n}\n\nfunction extractDegree(text) {\n  const source = cleanResumeText(text);\n  if (/博士|ph\\.?d/i.test(source)) return '博士';\n  if (/硕士|研究生|master/i.test(source)) return '硕士';\n  if (/本科|学士|bachelor/i.test(source)) return '本科';\n  if (/大专|专科|associate/i.test(source)) return '大专';\n  return '不限';\n}\n\nfunction extractLocations(text) {\n  const source = cleanResumeText(text);\n  const cities = ['北京','上海','广州','深圳','杭州','成都','西安','南京','武汉','苏州','重庆','天津','长沙','郑州','青岛','厦门','合肥','济南','宁波','东莞','珠海','佛山','无锡','兰州','太原','南阳','东京','大阪'];\n  return cities.filter(city => source.includes(city)).slice(0, 6);\n}\n\nfunction extractExplicitDirections(text) {\n  const source = cleanResumeText(text);\n  const matches = [];\n  const pattern = /(?:求职意向|求职方向|目标岗位|意向岗位|应聘岗位|期望职位)\\s*[:：]?\\s*([^\\n]{2,100})/ig;\n  let match;\n  while ((match = pattern.exec(source)) && matches.length < 3) {\n    matches.push(...String(match[1] || '').split(/[，,、/|]/).map(item => item.trim()).filter(item => item.length >= 2 && item.length <= 28));\n  }\n  return uniq(matches).slice(0, 3);\n}\n\nfunction inferDirections(text, skills) {\n  const source = cleanResumeText(text);\n  const explicit = extractExplicitDirections(source);\n  if (explicit.length) return explicit;\n  const directions = [];\n  const has = name => skills.includes(name);\n  const internship = /实习|在校|应届|校招/i.test(source);\n  if (/前端|web前端|网页开发/i.test(source) || ['JavaScript','TypeScript','Vue','React','HTML','CSS'].some(has)) {\n    directions.push(internship ? '前端开发实习生' : '前端开发工程师');\n  }\n  if (/全栈/i.test(source) || ((has('React') || has('Vue')) && (has('Node.js') || has('Java') || has('Python')))) {\n    directions.push(internship ? '全栈开发实习生' : '全栈开发工程师');\n  }\n  if (/ai应用|人工智能应用|智能体|rag|大模型|llm/i.test(source) || ['RAG','LLM','AI Agent'].some(has)) {\n    directions.push(internship ? 'AI 应用开发实习生' : 'AI 应用开发工程师');\n  }\n  if (/数据可视化|echarts|d3/i.test(source) || has('数据可视化') || has('ECharts') || has('D3.js')) {\n    directions.push('数据可视化开发工程师');\n  }\n  if (/后端|服务端/i.test(source) || ['Spring Boot','Java','Node.js','Python','Go'].filter(has).length >= 2) {\n    directions.push(internship ? '后端开发实习生' : '后端开发工程师');\n  }\n  if (!directions.length) directions.push(internship ? '软件开发实习生' : '软件开发工程师');\n  return uniq(directions).slice(0, 3);\n}\n\nfunction buildSearchKeywords(directions, skills) {\n  const keywords = [...directions];\n  const joined = directions.join(' ');\n  if (/前端/.test(joined)) {\n    keywords.push('前端开发', 'Web 前端', 'JavaScript 开发');\n    if (skills.includes('React')) keywords.push('React 开发');\n    if (skills.includes('Vue')) keywords.push('Vue 开发');\n    if (skills.includes('TypeScript')) keywords.push('TypeScript 前端');\n  }\n  if (/全栈/.test(joined)) keywords.push('全栈开发', 'Web 全栈');\n  if (/AI 应用/.test(joined)) {\n    keywords.push('AI 应用开发');\n    if (skills.includes('RAG')) keywords.push('RAG 应用开发');\n    if (skills.includes('AI Agent')) keywords.push('AI Agent 开发');\n  }\n  if (/数据可视化/.test(joined)) keywords.push('数据可视化', '可视化前端');\n  if (/后端/.test(joined)) keywords.push('后端开发', '服务端开发');\n  return uniq(keywords).slice(0, 12);\n}\n\nfunction explainProfileFallbackReason(reason = '', kind = '') {\n  const message = String(reason || '').trim();\n  const resolvedKind = kind || aiFailureKind({ message });\n  if (!message) return '';\n  if (resolvedKind === 'config-missing') {\n    return 'AI 尚未配置；本次未调用 AI，当前初稿全部来自本地规则。';\n  }\n  if (resolvedKind === 'service-error') {\n    return 'AI 请求没有成功；本次画像未使用 AI，当前初稿全部来自本地规则。';\n  }\n  return 'AI 连接可用，但返回内容未通过完整性校验；系统已自动精简重试，仍未成功，因此本次初稿全部来自本地规则。';\n}\n\nfunction validateGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  const directions = normalizeStringList(profile.primaryDirections, 3);\n  const keywords = normalizeStringList(profile.searchKeywords, 12);\n  const summary = String(profile.summary || '').trim();\n  if (!directions.length || !keywords.length || summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.facts || typeof profile.facts !== 'object' || Array.isArray(profile.facts)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.hardConstraints || typeof profile.hardConstraints !== 'object' || Array.isArray(profile.hardConstraints)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  return profile;\n}\n\nfunction validateCompactGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  const normalized = {\n    summary: String(profile.summary || '').trim(),\n    primaryDirections: normalizeStringList(profile.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile.searchKeywords, 12),\n    skills: normalizeStringList(profile.skills, 30),\n    locations: normalizeStringList(profile.locations, 20),\n    employmentTypes: normalizeStringList(profile.employmentTypes, 10),\n    salary: String(profile.salary || '').trim(),\n    experience: String(profile.experience || '').trim(),\n    degree: String(profile.degree || '').trim(),\n    excludeDirections: normalizeStringList(profile.excludeDirections, 20)\n  };\n  if (!normalized.primaryDirections.length || !normalized.searchKeywords.length || normalized.summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  return normalized;\n}\n\nfunction buildLocalProfile(resumeText, reason = '', failureKind = '') {\n  const text = cleanResumeText(resumeText);\n  if (text.length < 30) throw new Error('简历内容太少，暂时无法生成职业画像');\n  const skills = extractSkills(text);\n  const primaryDirections = inferDirections(text, skills);\n  const searchKeywords = buildSearchKeywords(primaryDirections, skills);\n  const degree = extractDegree(text);\n  const locations = extractLocations(text);\n  const internship = /实习|在校|应届|校招/i.test(text);\n  const employmentTypes = internship ? ['实习', '校招'] : ['全职'];\n  const experience = internship ? '在校/应届' : '按岗位要求匹配';\n  const topSkills = skills.slice(0, 7);\n  const summaryParts = [];\n  if (degree !== '不限') summaryParts.push(`${degree}${internship ? '在读或应届' : '背景'}`);\n  if (topSkills.length) summaryParts.push(`具备 ${topSkills.join('、')} 等技能或项目经验`);\n  summaryParts.push(`主要关注 ${primaryDirections.join('、')} 方向`);\n\n  const education = lineMatches(text, /大学|学院|本科|硕士|博士|教育经历|专业/i, 6);\n  const experiences = lineMatches(text, /实习|工作经历|公司|负责|任职|助理|工程师/i, 8);\n  const projects = lineMatches(text, /项目|系统|平台|工作台|GitHub|开发|实现|搭建|设计/i, 10);\n  const certificates = lineMatches(text, /证书|CET|英语六级|英语四级|资格|获奖|奖项/i, 6);\n  const resolvedKind = failureKind || (reason ? aiFailureKind({ message: reason }) : 'not-requested');\n\n  return normalizeProfile({\n    facts: { education, experiences, projects, skills, certificates },\n    primaryDirections: primaryDirections.map(name => ({ name, confidence: 0.72, evidence: ['根据简历中的技能、项目和求职阶段生成'] })),\n    secondaryDirections: [],\n    searchKeywords,\n    hardConstraints: {\n      locations,\n      employmentTypes,\n      salary: '不限',\n      experience,\n      degree\n    },\n    excludeDirections: [],\n    summary: `${summaryParts.join('，')}。`,\n    generation: {\n      mode: 'local-fallback',\n      label: '本地规则初稿',\n      aiStatus: resolvedKind,\n      warning: explainProfileFallbackReason(reason, resolvedKind),\n      technicalReason: String(reason || ''),\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction mergeProfileWithFallback(aiProfile, fallbackProfile, generation = null) {\n  const ai = aiProfile && typeof aiProfile === 'object' ? aiProfile : {};\n  const aiFacts = ai.facts && typeof ai.facts === 'object' ? ai.facts : {};\n  const fallbackFacts = fallbackProfile.facts || {};\n  const hard = ai.hardConstraints && typeof ai.hardConstraints === 'object' ? ai.hardConstraints : {};\n  const fallbackHard = fallbackProfile.hardConstraints || {};\n  return normalizeProfile({\n    ...fallbackProfile,\n    ...ai,\n    facts: {\n      ...fallbackFacts,\n      ...aiFacts,\n      education: Array.isArray(aiFacts.education) && aiFacts.education.length ? aiFacts.education : fallbackFacts.education,\n      experiences: Array.isArray(aiFacts.experiences) && aiFacts.experiences.length ? aiFacts.experiences : fallbackFacts.experiences,\n      projects: Array.isArray(aiFacts.projects) && aiFacts.projects.length ? aiFacts.projects : fallbackFacts.projects,\n      skills: normalizeStringList(aiFacts.skills).length ? aiFacts.skills : fallbackFacts.skills,\n      certificates: Array.isArray(aiFacts.certificates) && aiFacts.certificates.length ? aiFacts.certificates : fallbackFacts.certificates\n    },\n    primaryDirections: normalizeStringList(ai.primaryDirections, 3).length ? ai.primaryDirections : fallbackProfile.primaryDirections,\n    searchKeywords: normalizeStringList(ai.searchKeywords, 12).length ? ai.searchKeywords : fallbackProfile.searchKeywords,\n    hardConstraints: {\n      ...fallbackHard,\n      ...hard,\n      locations: normalizeStringList(hard.locations).length ? hard.locations : fallbackHard.locations,\n      employmentTypes: normalizeStringList(hard.employmentTypes).length ? hard.employmentTypes : fallbackHard.employmentTypes,\n      salary: String(hard.salary || fallbackHard.salary || '不限'),\n      experience: String(hard.experience || fallbackHard.experience || ''),\n      degree: String(hard.degree || fallbackHard.degree || '不限')\n    },\n    summary: String(ai.summary || fallbackProfile.summary),\n    generation: generation || {\n      mode: 'ai-assisted',\n      label: 'AI 完整画像',\n      aiStatus: 'success',\n      warning: 'AI 返回的完整 JSON 已通过校验；仅对可选空字段使用本地规则补齐。',\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction compactProfileToFull(compact, fallback) {\n  return {\n    facts: {\n      ...(fallback.facts || {}),\n      skills: compact.skills.length ? compact.skills : fallback.facts?.skills || []\n    },\n    primaryDirections: compact.primaryDirections,\n    secondaryDirections: [],\n    searchKeywords: compact.searchKeywords,\n    hardConstraints: {\n      ...(fallback.hardConstraints || {}),\n      locations: compact.locations.length ? compact.locations : fallback.hardConstraints?.locations || [],\n      employmentTypes: compact.employmentTypes.length ? compact.employmentTypes : fallback.hardConstraints?.employmentTypes || [],\n      salary: compact.salary || fallback.hardConstraints?.salary || '不限',\n      experience: compact.experience || fallback.hardConstraints?.experience || '',\n      degree: compact.degree || fallback.hardConstraints?.degree || '不限'\n    },\n    excludeDirections: compact.excludeDirections,\n    summary: compact.summary\n  };\n}\n\nasync function buildProfile(resumeText) {\n  const text = cleanResumeText(resumeText);\n  const fallback = buildLocalProfile(text);\n  const schema = '{\"facts\":{\"education\":[],\"experiences\":[],\"projects\":[],\"skills\":[],\"certificates\":[]},\"primaryDirections\":[{\"name\":\"\",\"confidence\":0,\"evidence\":[]}],\"secondaryDirections\":[],\"searchKeywords\":[],\"hardConstraints\":{\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\"},\"excludeDirections\":[],\"summary\":\"\"}';\n  let firstError = null;\n  try {\n    const profile = validateGeneratedProfile(await callModel([\n      {\n        role: 'system',\n        content: `你是严格的职业画像分析器。只能使用简历真实事实，不能根据项目业务场景推断用户职业。主方向最多3个，搜索词必须是真实岗位名称。数组必须精简，教育/经历/项目各最多4条，每条不超过80字，技能最多15个，摘要不超过180字。即使信息不完整，也必须给出可编辑初稿，禁止返回空内容。输出严格 JSON：${schema}`\n      },\n      { role: 'user', content: text.slice(0, 22000) }\n    ], true, { maxTokens: 4200, temperature: 0.05 }));\n    return mergeProfileWithFallback(profile, fallback);\n  } catch (error) {\n    firstError = error;\n  }\n\n  // 连接正常但完整画像输出过长、JSON 不完整或字段校验失败时，自动改用精简结构重试。\n  if (isRetryableAiOutputError(firstError)) {\n    const compactSchema = '{\"summary\":\"\",\"primaryDirections\":[],\"searchKeywords\":[],\"skills\":[],\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\",\"excludeDirections\":[]}';\n    try {\n      const compact = validateCompactGeneratedProfile(await callModel([\n        {\n          role: 'system',\n          content: `你是求职职业画像分析器。只使用简历事实。请输出极简 JSON，不要解释，不要证据长句。摘要120字以内；主方向最多3个；搜索词最多10个；技能最多12个；其余字段简短。输出结构：${compactSchema}`\n        },\n        { role: 'user', content: text.slice(0, 18000) }\n      ], true, { maxTokens: 2200, temperature: 0.05 }));\n      return mergeProfileWithFallback(compactProfileToFull(compact, fallback), fallback, {\n        mode: 'ai-compact-retry',\n        label: 'AI 精简重试结果',\n        aiStatus: 'success-after-retry',\n        warning: 'AI 连接正常。首次完整画像输出未完成，系统已自动精简重试并成功采用 AI 结果。',\n        technicalReason: String(firstError?.message || ''),\n        generatedAt: Date.now()\n      });\n    } catch (retryError) {\n      const combined = `${firstError?.message || 'AI 首次输出未通过'}；精简重试：${retryError?.message || '失败'}`;\n      return buildLocalProfile(text, combined, aiFailureKind(firstError));\n    }\n  }\n\n  return buildLocalProfile(text, firstError?.message || 'AI 生成失败', aiFailureKind(firstError));\n}\n\n\nfunction normalizeStringList(value, limit = 30) {\n  const values = Array.isArray(value) ? value : String(value || '').split(/[，,\\n]/);\n  return uniq(values.map(item => typeof item === 'string' ? item.trim() : String(item?.name || item?.title || '').trim()))\n    .filter(Boolean)\n    .slice(0, limit);\n}\n\nfunction normalizeDirections(value, existing = []) {\n  const previous = new Map((Array.isArray(existing) ? existing : []).map(item => {\n    const name = typeof item === 'string' ? item : item?.name;\n    return [String(name || '').trim(), item];\n  }));\n  return normalizeStringList(value, 3).map(name => {\n    const old = previous.get(name);\n    if (old && typeof old === 'object') return { ...old, name };\n    return { name, confidence: 1, evidence: ['用户手动编辑'] };\n  });\n}\n\nfunction normalizeProfile(incoming, current = null) {\n  const base = current && typeof current === 'object' ? current : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const profile = {\n    ...base,\n    ...next,\n    facts: {\n      education: [], experiences: [], projects: [], skills: [], certificates: [],\n      ...(base.facts || {}),\n      ...(next.facts || {}),\n      skills: normalizeStringList(next.facts?.skills ?? base.facts?.skills, 40)\n    },\n    primaryDirections: normalizeDirections(next.primaryDirections ?? base.primaryDirections, base.primaryDirections),\n    secondaryDirections: normalizeStringList(next.secondaryDirections ?? base.secondaryDirections, 10),\n    searchKeywords: normalizeStringList(next.searchKeywords ?? base.searchKeywords, 12),\n    excludeDirections: normalizeStringList(next.excludeDirections ?? base.excludeDirections, 20),\n    hardConstraints: {\n      locations: [], employmentTypes: [], salary: '', experience: '', degree: '',\n      ...(base.hardConstraints || {}),\n      ...(next.hardConstraints || {})\n    },\n    summary: String(next.summary ?? base.summary ?? '').trim(),\n    editedAt: Date.now()\n  };\n  profile.hardConstraints.locations = normalizeStringList(profile.hardConstraints.locations, 20);\n  profile.hardConstraints.employmentTypes = normalizeStringList(profile.hardConstraints.employmentTypes, 10);\n  profile.hardConstraints.salary = String(profile.hardConstraints.salary || '').trim();\n  profile.hardConstraints.experience = String(profile.hardConstraints.experience || '').trim();\n  profile.hardConstraints.degree = String(profile.hardConstraints.degree || '').trim();\n  if (!profile.primaryDirections.length) throw new Error('职业画像至少需要一个主方向');\n  if (!profile.searchKeywords.length) throw new Error('职业画像至少需要一个岗位搜索词');\n  return profile;\n}\n\n\nfunction profileHasCore(profile) {\n  return Boolean(\n    normalizeStringList(profile?.primaryDirections, 3).length &&\n    normalizeStringList(profile?.searchKeywords, 12).length\n  );\n}\n\nfunction normalizeProfileDraft(incoming, fallback = null) {\n  const base = fallback && typeof fallback === 'object' ? fallback : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const chooseList = (key, limit = 30) => Object.prototype.hasOwnProperty.call(next, key)\n    ? normalizeStringList(next[key], limit)\n    : normalizeStringList(base[key], limit);\n  const chooseText = key => Object.prototype.hasOwnProperty.call(next, key)\n    ? String(next[key] || '').trim()\n    : String(base[key] || '').trim();\n  return {\n    summary: chooseText('summary'),\n    primaryDirections: chooseList('primaryDirections', 3),\n    searchKeywords: chooseList('searchKeywords', 12),\n    skills: chooseList('skills', 40),\n    locations: chooseList('locations', 20),\n    employmentTypes: chooseList('employmentTypes', 10),\n    experience: chooseText('experience'),\n    degree: chooseText('degree'),\n    salary: chooseText('salary'),\n    excludeDirections: chooseList('excludeDirections', 20),\n    source: String(next.source || base.source || 'draft'),\n    updatedAt: Number(next.updatedAt || Date.now())\n  };\n}\n\nfunction profileDraftHasCore(draft) {\n  return Boolean(\n    normalizeStringList(draft?.primaryDirections, 3).length &&\n    normalizeStringList(draft?.searchKeywords, 12).length\n  );\n}\n\nfunction profileDraftHasAny(draft) {\n  if (!draft || typeof draft !== 'object') return false;\n  return Boolean(\n    String(draft.summary || '').trim() ||\n    normalizeStringList(draft.primaryDirections).length ||\n    normalizeStringList(draft.searchKeywords).length ||\n    normalizeStringList(draft.skills).length ||\n    normalizeStringList(draft.locations).length ||\n    normalizeStringList(draft.employmentTypes).length ||\n    String(draft.experience || '').trim() ||\n    String(draft.degree || '').trim() ||\n    String(draft.salary || '').trim() ||\n    normalizeStringList(draft.excludeDirections).length\n  );\n}\n\nfunction profileToDraft(profile, source = 'generated') {\n  const hard = profile?.hardConstraints || {};\n  return normalizeProfileDraft({\n    summary: profile?.summary || '',\n    primaryDirections: normalizeStringList(profile?.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile?.searchKeywords, 12),\n    skills: normalizeStringList(profile?.facts?.skills, 40),\n    locations: normalizeStringList(hard.locations, 20),\n    employmentTypes: normalizeStringList(hard.employmentTypes, 10),\n    experience: hard.experience || '',\n    degree: hard.degree || '',\n    salary: hard.salary || '',\n    excludeDirections: normalizeStringList(profile?.excludeDirections, 20),\n    source,\n    updatedAt: Date.now()\n  });\n}\n\nfunction profileFromDraft(draft, currentProfile = null) {\n  const normalized = normalizeProfileDraft(draft);\n  return normalizeProfile({\n    ...(currentProfile || {}),\n    summary: normalized.summary,\n    primaryDirections: normalized.primaryDirections,\n    searchKeywords: normalized.searchKeywords,\n    excludeDirections: normalized.excludeDirections,\n    facts: {\n      ...(currentProfile?.facts || {}),\n      skills: normalized.skills\n    },\n    hardConstraints: {\n      ...(currentProfile?.hardConstraints || {}),\n      locations: normalized.locations,\n      employmentTypes: normalized.employmentTypes,\n      experience: normalized.experience,\n      degree: normalized.degree,\n      salary: normalized.salary\n    }\n  }, currentProfile);\n}\n\n\nfunction clampNumber(value, min, max, fallback = min) {\n  const number = Number(value);\n  return Number.isFinite(number) ? Math.max(min, Math.min(max, number)) : fallback;\n}\n\nfunction normalizeDirectionKey(value) {\n  return String(value || '')\n    .toLowerCase()\n    .replace(/实习生|工程师|开发|岗位|职位|校招|社招|应届/g, '')\n    .replace(/[\\s,，/\\\\|·•()（）【】\\[\\]_-]+/g, '')\n    .trim();\n}\n\nfunction stableDirectionId(name, source = 'profile') {\n  const input = `${source}:${normalizeDirectionKey(name) || String(name || '').trim().toLowerCase()}`;\n  let hash = 2166136261;\n  for (let index = 0; index < input.length; index += 1) {\n    hash ^= input.charCodeAt(index);\n    hash = Math.imul(hash, 16777619);\n  }\n  return `direction_${(hash >>> 0).toString(36)}`;\n}\n\nconst DIRECTION_PRESETS = [\n  {\n    test: /前端|web|react|vue|javascript|typescript/i,\n    keywords: ['前端开发实习生', 'Web前端实习生', 'React开发实习生', 'Vue开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'HTML', 'CSS', 'React', 'Vue', 'Next.js', 'Vite', 'Webpack'],\n    gapSkills: ['工程化', '性能优化', '组件库']\n  },\n  {\n    test: /ai应用|人工智能应用|大模型|agent|rag|llm/i,\n    keywords: ['AI应用开发实习生', 'AI Agent实习生', 'RAG应用开发实习生', '大模型应用开发实习生'],\n    relevantSkills: ['AI Agent', 'RAG', 'Python', 'TypeScript', 'React', 'Node.js', 'OCR'],\n    gapSkills: ['Python', '模型评测', '向量数据库']\n  },\n  {\n    test: /全栈|full.?stack|前后端/i,\n    keywords: ['全栈开发实习生', 'Web全栈实习生', '前后端开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'React', 'Vue', 'Node.js', 'Express', 'MySQL'],\n    gapSkills: ['后端接口', '数据库', '部署运维']\n  },\n  {\n    test: /开发者工具|研发工具|桌面端|tauri|electron|工具开发/i,\n    keywords: ['开发者工具实习生', '研发工具开发实习生', '桌面端开发实习生', '平台工具开发实习生'],\n    relevantSkills: ['Tauri', 'Electron', 'TypeScript', 'React', 'Rust', 'Node.js', 'OCR'],\n    gapSkills: ['跨平台工程化', '桌面端发布', '系统 API']\n  },\n  {\n    test: /数据可视化|可视化|echarts|大屏/i,\n    keywords: ['数据可视化实习生', '前端可视化实习生', 'ECharts开发实习生'],\n    relevantSkills: ['ECharts', 'JavaScript', 'TypeScript', 'React', 'Vue', '数据处理'],\n    gapSkills: ['图形性能优化', '复杂交互', '可视化工程化']\n  },\n  {\n    test: /后端|java|node|服务端/i,\n    keywords: ['后端开发实习生', 'Node.js开发实习生', 'Java开发实习生'],\n    relevantSkills: ['Java', 'Node.js', 'Express', 'MySQL', 'Redis', 'Spring'],\n    gapSkills: ['数据库', '缓存', '接口设计']\n  }\n];\n\nfunction directionPreset(name) {\n  return DIRECTION_PRESETS.find(item => item.test.test(String(name || ''))) || null;\n}\n\nfunction normalizedSkillSet(profile = {}) {\n  return new Map(normalizeStringList(profile?.facts?.skills, 50).map(skill => [normalizeDirectionKey(skill), skill]));\n}\n\nfunction buildDirectionKeywords(name, profile = {}) {\n  const allKeywords = normalizeStringList(profile?.searchKeywords, 30);\n  const nameKey = normalizeDirectionKey(name);\n  const preset = directionPreset(name);\n  const matching = allKeywords.filter(keyword => {\n    const key = normalizeDirectionKey(keyword);\n    return key && (nameKey.includes(key) || key.includes(nameKey) || [...nameKey].filter(char => key.includes(char)).length >= Math.min(3, nameKey.length));\n  });\n  return uniq([name, ...matching, ...(preset?.keywords || [])]).filter(Boolean).slice(0, 8);\n}\n\nfunction buildDirectionEvidence(name, candidate = {}, profile = {}) {\n  const skills = normalizeStringList(profile?.facts?.skills, 30);\n  const skillMap = normalizedSkillSet(profile);\n  const preset = directionPreset(name);\n  const relevant = (preset?.relevantSkills || skills).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return skillMap.has(key) || skills.some(current => normalizeDirectionKey(current).includes(key) || key.includes(normalizeDirectionKey(current)));\n  });\n  const matchedSkills = uniq(relevant.length ? relevant : skills.slice(0, 4)).slice(0, 5);\n  const gaps = (preset?.gapSkills || []).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return ![...skillMap.keys()].some(existing => existing.includes(key) || key.includes(existing));\n  }).slice(0, 3);\n  const evidence = normalizeStringList(candidate?.evidence, 3);\n  const reason = evidence.length\n    ? `职业画像中已提取到：${evidence.join('；')}`.slice(0, 160)\n    : matchedSkills.length\n      ? `与简历中的 ${matchedSkills.join('、')} 技能和项目经历匹配。`\n      : `该方向来自职业画像中的主要求职方向，可继续人工调整。`;\n  return { matchedSkills, gaps, reason };\n}\n\nfunction normalizeDirectionItem(item = {}, index = 0) {\n  const name = String(item.name || item.title || '').trim().slice(0, 60);\n  const source = item.source === 'custom' || item.custom ? 'custom' : 'profile';\n  const id = String(item.id || stableDirectionId(name || `custom-${index}`, source));\n  return {\n    id,\n    source,\n    custom: source === 'custom',\n    sourceName: String(item.sourceName || name).trim().slice(0, 60),\n    name,\n    enabled: item.enabled !== false,\n    priority: Math.round(clampNumber(item.priority, 1, 99, index + 1)),\n    score: Math.round(clampNumber(item.score, 0, 100, source === 'custom' ? 70 : Math.max(60, 88 - index * 7))),\n    reason: String(item.reason || (source === 'custom' ? '用户自定义岗位方向。' : '根据职业画像推荐。')).trim().slice(0, 240),\n    matchedSkills: normalizeStringList(item.matchedSkills, 8),\n    gaps: normalizeStringList(item.gaps, 6),\n    keywords: uniq(normalizeStringList(item.keywords, 12).length ? normalizeStringList(item.keywords, 12) : [name]).slice(0, 12),\n    updatedAt: Number(item.updatedAt || Date.now())\n  };\n}\n\nfunction profileDirectionSignature(profile = {}) {\n  return JSON.stringify({\n    directions: normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 6).map(normalizeDirectionKey),\n    keywords: normalizeStringList(profile?.searchKeywords, 20).map(normalizeDirectionKey)\n  });\n}\n\nfunction normalizeDirectionPlan(plan, profile = null, options = {}) {\n  const items = (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score)\n    .slice(0, 12)\n    .map((item, index) => ({ ...item, priority: index + 1 }));\n  return {\n    version: 1,\n    items,\n    confirmed: options.confirmed ?? Boolean(plan?.confirmed),\n    updatedAt: Number(options.updatedAt || plan?.updatedAt || Date.now()),\n    appliedAt: Number(options.appliedAt || plan?.appliedAt || 0),\n    profileSignature: String(options.profileSignature || plan?.profileSignature || profileDirectionSignature(profile)).slice(0, 600)\n  };\n}\n\nfunction buildDirectionPlan(profile = {}, currentPlan = null, options = {}) {\n  const primary = Array.isArray(profile?.primaryDirections) ? profile.primaryDirections : [];\n  const secondary = Array.isArray(profile?.secondaryDirections) ? profile.secondaryDirections : [];\n  const searchKeywords = normalizeStringList(profile?.searchKeywords, 20);\n  const candidates = [];\n  for (const item of [...primary, ...secondary]) {\n    const name = String(typeof item === 'string' ? item : item?.name || '').trim();\n    if (!name || candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(name))) continue;\n    candidates.push({ name, raw: typeof item === 'object' ? item : {} });\n  }\n  for (const keyword of searchKeywords) {\n    if (candidates.length >= 6) break;\n    if (!/开发|工程师|实习生|前端|后端|全栈|AI|人工智能|工具|可视化/i.test(keyword)) continue;\n    if (candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(keyword))) continue;\n    candidates.push({ name: keyword, raw: {} });\n  }\n  if (!candidates.length) candidates.push({ name: '目标岗位', raw: {} });\n\n  const existing = new Map((currentPlan?.items || []).map(item => [String(item.id || ''), item]));\n  const generated = candidates.slice(0, 6).map((candidate, index) => {\n    const id = stableDirectionId(candidate.name, 'profile');\n    const previous = existing.get(id);\n    const confidence = Number(candidate.raw?.confidence);\n    const score = Number.isFinite(confidence)\n      ? Math.round(confidence <= 1 ? confidence * 100 : confidence)\n      : Math.max(62, 90 - index * 7);\n    const evidence = buildDirectionEvidence(candidate.name, candidate.raw, profile);\n    return normalizeDirectionItem({\n      id,\n      source: 'profile',\n      sourceName: candidate.name,\n      name: options.preserveEdits && previous?.name ? previous.name : candidate.name,\n      enabled: options.preserveSelections && previous ? previous.enabled : index < 3,\n      priority: previous?.priority || index + 1,\n      score,\n      reason: evidence.reason,\n      matchedSkills: evidence.matchedSkills,\n      gaps: evidence.gaps,\n      keywords: options.preserveEdits && previous?.keywords?.length\n        ? previous.keywords\n        : buildDirectionKeywords(candidate.name, profile)\n    }, index);\n  });\n  const custom = options.preserveCustom === false ? [] : (currentPlan?.items || [])\n    .filter(item => item?.source === 'custom' || item?.custom)\n    .map((item, index) => normalizeDirectionItem(item, generated.length + index));\n  return normalizeDirectionPlan({\n    items: [...generated, ...custom],\n    confirmed: options.confirmed ?? false,\n    updatedAt: Date.now(),\n    appliedAt: options.confirmed ? Date.now() : Number(currentPlan?.appliedAt || 0)\n  }, profile, { confirmed: options.confirmed ?? false, updatedAt: Date.now() });\n}\n\nfunction selectedDirectionItems(plan = {}) {\n  return (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.enabled && item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score);\n}\n\nfunction fallbackApplicantGreeting(job, profile) {\n  const title = String(job?.title || '该岗位').trim();\n  const skills = normalizeStringList(profile?.facts?.skills, 4);\n  const direction = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 2);\n  const evidence = skills.length ? `我的简历中有${skills.slice(0, 3).join('、')}相关项目与实践` : (profile?.summary || direction.join('、'));\n  const target = `贵公司的${title}`;\n  return `您好，我想应聘${target}岗位。${evidence ? `${evidence}，` : ''}对岗位的工作内容很感兴趣。方便的话希望进一步了解岗位和团队，谢谢。`\n    .replace(/。{2,}/g, '。')\n    .slice(0, 140);\n}\n\nfunction normalizeApplicantGreeting(result, job, profile) {\n  const raw = String(result?.greeting || '').trim();\n  const reversed = /看到你的简历|你的简历|很匹配我们|匹配我们|欢迎.*沟通|期待你|候选人|我们团队|我们公司|团队主要涉及|你很匹配|方便的话来聊聊/i.test(raw);\n  const applicantVoice = /我想应聘|我希望应聘|我对.{0,20}(岗位|职位).{0,10}(感兴趣|有兴趣)|想进一步了解|希望进一步沟通/.test(raw);\n  if (!raw || reversed || !applicantVoice) return fallbackApplicantGreeting(job, profile);\n  return raw.slice(0, 160);\n}\n\nasync function analyzeJob(job) {\n  const { profile, resumeText, config } = await storage.get(['profile', 'resumeText', 'config']);\n  if (!profile) throw new Error('请先生成职业画像');\n  const result = await callModel([\n    {\n      role: 'system',\n      content: '你是为求职者服务的岗位匹配审查器，不是招聘方。用户是正在应聘岗位的求职者。任何能力、年限、项目和成果都不能超出简历事实。先判断学历、经验、地点等硬条件，再判断方向与技能。输出 JSON：{\"score\":0,\"decision\":\"recommend|cautious|reject\",\"hardBlocks\":[],\"matchedEvidence\":[],\"gaps\":[],\"risks\":[],\"reason\":\"\",\"greeting\":\"\"}。greeting 是求职者发给招聘方/HR 的第一人称求职招呼语，50-110字，应使用“您好，我想应聘贵公司的……”口吻。严禁写成招聘方口吻，严禁出现“看到你的简历”“你的经历很匹配我们”“欢迎进一步沟通”“我们团队”“候选人”等表述；不得承诺薪资、到岗、年限或不存在的能力。'\n    },\n    {\n      role: 'user',\n      content: `职业画像：${JSON.stringify(profile)}\n简历：${String(resumeText || '').slice(0, 15000)}\n岗位：${JSON.stringify(job)}`\n    }\n  ]);\n  result.score = Math.max(0, Math.min(100, Number(result.score || 0)));\n  result.greeting = normalizeApplicantGreeting(result, job, profile);\n  if (Array.isArray(result.hardBlocks) && result.hardBlocks.length) result.decision = 'reject';\n  if (result.score < Number(config?.minScore || 75) && result.decision === 'recommend') {\n    result.decision = 'cautious';\n  }\n  return result;\n}\n\nfunction createTasks(profile, config, directionPlan) {\n  const directions = selectedDirectionItems(directionPlan);\n  const locations = config.targetLocations?.length ? config.targetLocations : [''];\n  const employmentTypes = config.employmentTypes?.length ? config.employmentTypes : ['不限'];\n  const tasks = [];\n  const seen = new Set();\n  for (const direction of directions) {\n    for (const keyword of direction.keywords) {\n      for (const location of locations) {\n        for (const employmentType of employmentTypes) {\n          const dedupeKey = [keyword, location, employmentType].map(value => String(value || '').trim().toLowerCase()).join('|');\n          if (seen.has(dedupeKey)) continue;\n          seen.add(dedupeKey);\n          tasks.push({\n            id: crypto.randomUUID(),\n            directionId: direction.id,\n            directionName: direction.name,\n            directionPriority: direction.priority,\n            directionScore: direction.score,\n            keyword,\n            location,\n            employmentType,\n            experience: config.experiences?.[0] || '',\n            degree: config.degrees?.[0] || '',\n            salary: config.salary || '不限',\n            attempts: 0,\n            status: 'pending',\n            progress: 0,\n            stageLabel: '等待开始',\n            processed: 0,\n            discovered: 0,\n            analyzed: 0,\n            failed: 0,\n            createdAt: Date.now()\n          });\n        }\n      }\n    }\n  }\n  return tasks;\n}\n\n\nfunction salaryPriority(job = {}) {\n  const source = `${job.salary || ''} ${job.cardText || ''}`;\n  const numbers = [...source.matchAll(/(\\d+(?:\\.\\d+)?)/g)].map(match => Number(match[1])).filter(Number.isFinite);\n  if (!numbers.length) return 0;\n  let midpoint = numbers.length >= 2 ? (numbers[0] + numbers[1]) / 2 : numbers[0];\n  if (/元\\/天|元每天|\\/天/.test(source)) midpoint *= 22 / 1000;\n  if (/元\\/月|元每月/.test(source)) midpoint /= 1000;\n  return Math.max(0, Math.min(180, Math.round(midpoint * 6)));\n}\n\nfunction freshnessPriority(job = {}) {\n  const source = `${job.publishTime || ''} ${job.cardText || ''}`;\n  if (/刚刚|最新|今日|今天|分钟前|小时内/.test(source)) return 120;\n  if (/昨天|1天前/.test(source)) return 80;\n  const days = Number(source.match(/(\\d+)\\s*天前/)?.[1] || 0);\n  if (days > 0) return Math.max(0, 70 - days * 8);\n  return 0;\n}\n\nfunction computeJobPriority(item = {}) {\n  const analysis = item.analysis || {};\n  const job = item.job || {};\n  const hardBlocks = Array.isArray(analysis.hardBlocks) ? analysis.hardBlocks.length : 0;\n  const risks = Array.isArray(analysis.risks) ? analysis.risks.length : 0;\n  const gaps = Array.isArray(analysis.gaps) ? analysis.gaps.length : 0;\n  const score = Math.max(0, Math.min(100, Number(analysis.score || 0)));\n  let priority = score * 100;\n  if (analysis.decision === 'recommend') priority += 900;\n  if (analysis.decision === 'cautious') priority -= 350;\n  if (analysis.decision === 'reject') priority -= 5000;\n  priority -= hardBlocks * 2400;\n  priority -= risks * 90;\n  priority -= gaps * 45;\n  priority += salaryPriority(job);\n  priority += freshnessPriority(job);\n  if (/外部网申|立即网申|去网申/.test(`${job.applicationMode || ''} ${job.cardText || ''}`)) priority -= 6000;\n  priority -= Number(item.retryCount || 0) * 120;\n  return Math.round(priority);\n}\n\nfunction pendingStatusRank(status) {\n  return {\n    approved: 0,\n    approved_queue: 1,\n    pending: 2,\n    failed: 3,\n    sent: 4,\n    skipped: 5,\n    rejected: 6,\n    ignored: 7\n  }[status] ?? 8;\n}\n\nfunction rerankPending(items = []) {\n  const enriched = items.map(entry => ({\n    ...entry,\n    priorityScore: computeJobPriority(entry)\n  }));\n  enriched.sort((a, b) => {\n    const statusDiff = pendingStatusRank(a.status) - pendingStatusRank(b.status);\n    if (statusDiff) return statusDiff;\n    const priorityDiff = Number(b.priorityScore || 0) - Number(a.priorityScore || 0);\n    if (priorityDiff) return priorityDiff;\n    const scoreDiff = Number(b.analysis?.score || 0) - Number(a.analysis?.score || 0);\n    if (scoreDiff) return scoreDiff;\n    return Number(a.createdAt || 0) - Number(b.createdAt || 0);\n  });\n  let queueRank = 0;\n  return enriched.map(entry => {\n    if (['approved', 'approved_queue', 'pending'].includes(entry.status)) queueRank += 1;\n    return {\n      ...entry,\n      priorityRank: ['approved', 'approved_queue', 'pending'].includes(entry.status) ? queueRank : null\n    };\n  });\n}\n\nasync function dispatchNextAutoPending() {\n  const { pending = [], workflow = {}, config = {} } = await storage.get(['pending', 'workflow', 'config']);\n  if (config.executionMode !== 'auto') return { started: false, reason: 'not-auto' };\n  if (workflow.pendingApplyId) return { started: false, reason: 'busy', pendingApplyId: workflow.pendingApplyId };\n  const ranked = rerankPending(pending);\n  const candidate = ranked.find(entry => entry.status === 'approved_queue');\n  if (!candidate) {\n    await storage.set({ pending: ranked });\n    return { started: false, reason: 'empty' };\n  }\n  const next = rerankPending(ranked.map(entry => entry.id === candidate.id\n    ? { ...entry, status: 'approved', approvedAt: entry.approvedAt || Date.now() }\n    : entry));\n  await storage.set({ pending: next });\n  const run = await updateTaskRunByPending(candidate.id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: `优先投递 · 队列第 ${candidate.priorityRank || 1} 位`,\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `按匹配优先级投递：${candidate.job?.title || '岗位'}（AI ${candidate.analysis?.score || 0} 分）`,\n    pendingApplyId: candidate.id,\n    activeRunId: run?.id || candidate.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { started: true, item: candidate, queueDepth: next.filter(entry => entry.status === 'approved_queue').length };\n}\n\nasync function addPending(item) {\n  const { pending = [], config = {} } = await storage.get(['pending', 'config']);\n  let run = null;\n  if (item.runId) {\n    run = await upsertTaskRun({\n      id: item.runId,\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' ? 64 : 60,\n      stageLabel: config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认'\n    });\n  } else {\n    run = await upsertTaskRun({\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' ? 64 : 60,\n      stageLabel: config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认'\n    });\n  }\n  const nextItem = {\n    ...item,\n    runId: run.id,\n    id: item.id || crypto.randomUUID(),\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: config.executionMode === 'auto' ? 'approved_queue' : 'pending',\n    createdAt: Date.now()\n  };\n  await upsertTaskRun({ id: run.id, pendingId: nextItem.id });\n  const next = rerankPending([nextItem, ...pending.filter(entry => entry.id !== nextItem.id)]);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...(await storage.get('stats')).stats, pending: count } });\n  return next.find(entry => entry.id === nextItem.id) || nextItem;\n}\n\nasync function approvePending(id, greeting = '') {\n  const { pending = [] } = await storage.get('pending');\n  const item = pending.find(entry => entry.id === id);\n  if (!item) throw new Error('待确认岗位不存在');\n  const lockedGreeting = String(greeting || item.deliveryGreeting || item.analysis?.greeting || '').trim();\n  const updatedItem = {\n    ...item,\n    deliveryGreeting: lockedGreeting,\n    analysis: { ...(item.analysis || {}), greeting: lockedGreeting },\n    status: 'approved',\n    approvedAt: Date.now()\n  };\n  const next = pending.map(entry => entry.id === id ? updatedItem : entry);\n  await storage.set({ pending: next });\n  const pendingCount = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: pendingCount } });\n  const run = await updateTaskRunByPending(id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: '等待投递',\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `准备以求职者身份沟通：${item.job?.title || '岗位'}`,\n    pendingApplyId: id,\n    activeRunId: run?.id || item.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  return updatedItem;\n}\n\nasync function approveAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const candidates = rerankPending(pending).filter(entry => entry.status === 'pending');\n  if (!candidates.length) return { count: 0 };\n  const ids = new Set(candidates.map(entry => entry.id));\n  const next = pending.map(entry => ids.has(entry.id)\n    ? { ...entry, status: 'approved_queue', approvedAt: Date.now() }\n    : entry);\n  const first = candidates[0];\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const [index, candidate] of candidates.entries()) {\n    await updateTaskRunByPending(candidate.id, {\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'queued',\n      progress: 64,\n      stageLabel: index === 0 ? '准备投递' : '批量队列等待中',\n      error: '',\n      retryable: true,\n      completedAt: null\n    });\n  }\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `批量投递 1/${candidates.length}：${first.job?.title || '岗位'}`,\n    pendingApplyId: first.id,\n    activeRunId: first.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { count: candidates.length };\n}\n\nasync function rejectAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const count = pending.filter(entry => entry.status === 'pending').length;\n  const next = pending.map(entry => entry.status === 'pending'\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const item of pending.filter(entry => entry.status === 'pending')) {\n    await updateTaskRunByPending(item.id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n  }\n  return { count };\n}\n\nasync function rejectPending(id) {\n  const { pending = [] } = await storage.get('pending');\n  const next = pending.map(entry => entry.id === id ? { ...entry, status: 'rejected', rejectedAt: Date.now() } : entry);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: count } });\n  await updateTaskRunByPending(id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\n\nasync function skipPendingTask(id, reason = '该岗位需要外部网申，已自动跳过', stageLabel = '外部网申岗位已跳过') {\n  const { pending = [], stats = {}, config = {}, chatTransition = null } = await storage.get(['pending', 'stats', 'config', 'chatTransition']);\n  const completedAt = Date.now();\n  let skippedItem = null;\n  let next = pending.map(entry => {\n    if (entry.id !== id) return entry;\n    skippedItem = { ...entry, status: 'skipped', completedAt, error: reason };\n    return skippedItem;\n  });\n  const updatedStats = {\n    ...stats,\n    pending: next.filter(entry => entry.status === 'pending').length\n  };\n  await storage.set({ pending: next, stats: updatedStats, chatTransition: chatTransition?.pendingId === id ? null : chatTransition });\n  const run = await updateTaskRunByPending(id, {\n    status: 'skipped', stage: 'skipped', progress: 100,\n    stageLabel, error: reason, retryable: false, completedAt\n  });\n  await writeEvent('info', stageLabel, {\n    id,\n    runId: run?.id || skippedItem?.runId || '',\n    job: skippedItem?.job,\n    reason\n  });\n\n  next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n  if (queued) {\n    next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n    await storage.set({ pending: next });\n    const queuedRun = await updateTaskRunByPending(queued.id, {\n      status: 'running', stage: 'queued', progress: 64,\n      stageLabel: '准备投递', error: '', completedAt: null\n    });\n    await patchWorkflow({\n      pendingApplyId: queued.id,\n      activeRunId: queuedRun?.id || queued.runId || null,\n      running: true,\n      paused: false,\n      phase: 'apply',\n      statusText: `已跳过外部网申岗位，继续投递：${queued.job?.title || '岗位'}`\n    });\n  } else {\n    await patchWorkflow({\n      pendingApplyId: null,\n      activeRunId: null,\n      running: true,\n      paused: false,\n      phase: 'search',\n      statusText: '外部网申岗位已跳过，继续搜索可直接沟通岗位'\n    });\n  }\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), Math.max(3000, Math.min(10000, Number(config.betweenJobsSeconds || 5) * 1000)));\n  return { item: skippedItem, queued: queued || null };\n}\n\nasync function handleBridgeCommands() {\n  try {\n    const response = await bridge('/commands');\n    for (const command of response.commands || []) {\n      if (command.type === 'start') {\n        await patchWorkflow({ running: true, paused: false, statusText: '由 OpenClaw 启动' });\n        await sendToBoss({ type: 'RUN' });\n      } else if (command.type === 'pause') {\n        await patchWorkflow({ paused: true, statusText: '由 OpenClaw 暂停' });\n      } else if (command.type === 'stop') {\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '由 OpenClaw 停止' });\n      }\n    }\n  } catch {\n    // 桌面桥接未运行时保持浏览器扩展独立可用。\n  }\n}\n\nchrome.runtime.onInstalled.addListener(init);\nchrome.runtime.onStartup.addListener(init);\ninit();\n\nchrome.alarms.onAlarm.addListener(async alarm => {\n  if (alarm.name !== 'jobclaw-tick') return;\n  const { workflow } = await storage.get('workflow');\n  if (workflow?.running && !workflow.paused) sendToBoss({ type: 'RUN' }).catch(() => {});\n  handleBridgeCommands();\n});\n\nchrome.runtime.onMessage.addListener((message, sender, reply) => {\n  (async () => {\n    switch (message?.type) {\n      case 'TRUSTED_CHAT_INPUT': {\n        const tabId = sender?.tab?.id;\n        const url = String(sender?.tab?.url || '');\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('可信输入只能用于当前 BOSS 页面');\n        const result = await trustedChatInput(tabId, message);\n        reply({ ok: true, ...result });\n        break;\n      }\n      case 'GET_STATE':\n        reply({ ok: true, state: publicState(await storage.all()) });\n        break;\n      case 'SAVE_CONFIG': {\n        const { config } = await storage.get('config');\n        const incoming = message.config || {};\n        const oldKey = config?.model?.apiKey || '';\n        incoming.model = {\n          ...(config?.model || {}),\n          ...(incoming.model || {}),\n          apiKey: incoming.model?.apiKey && incoming.model.apiKey !== '***'\n            ? incoming.model.apiKey\n            : oldKey\n        };\n        incoming.executionMode = incoming.executionMode === 'auto' ? 'auto' : 'review';\n        incoming.dailyTarget = Math.max(1, Math.min(300, Number(incoming.dailyTarget || config?.dailyTarget || 150)));\n        incoming.discoveryLimit = 0;\n        incoming.model.baseUrl = String(incoming.model.baseUrl || 'https://api.deepseek.com').trim();\n        incoming.model.model = String(incoming.model.model || 'deepseek-v4-pro').trim();\n        await storage.set({ config: { ...(config || {}), ...incoming } });\n        await writeEvent('info', '设置已保存');\n        reply({ ok: true });\n        break;\n      }\n      case 'SET_RESUME':\n        await storage.set({ resumeText: String(message.text || '') });\n        await writeEvent('info', '简历文本已保存', { length: String(message.text || '').length });\n        reply({ ok: true });\n        break;\n      case 'SET_RESUME_SOURCE': {\n        const file = message.file || null;\n        if (!file?.name || !file?.dataUrl) throw new Error('简历原文件数据不完整');\n        if (String(file.dataUrl).length > 26 * 1024 * 1024) throw new Error('简历原文件过大');\n        const source = {\n          name: String(file.name),\n          type: String(file.type || ''),\n          size: Number(file.size || 0),\n          lastModified: Number(file.lastModified || 0),\n          dataUrl: String(file.dataUrl),\n          savedAt: Date.now()\n        };\n        await storage.set({ resumeSourceFile: source });\n        await writeEvent('info', '简历原文件已保留', { name: source.name, size: source.size });\n        reply({ ok: true, file: { name: source.name, type: source.type, size: source.size, stored: true } });\n        break;\n      }\n      case 'PARSE_RESUME_PDF': {\n        const { resumeSourceFile } = await storage.get('resumeSourceFile');\n        if (!resumeSourceFile?.dataUrl) throw new Error('请先选择 PDF 简历');\n        if (!String(resumeSourceFile.name || '').toLowerCase().endsWith('.pdf') && resumeSourceFile.type !== 'application/pdf') {\n          throw new Error('当前保留的文件不是 PDF');\n        }\n        try {\n          const result = await bridge('/parse-resume', {\n            name: resumeSourceFile.name,\n            type: resumeSourceFile.type,\n            dataUrl: resumeSourceFile.dataUrl\n          });\n          if (result?.text) await writeEvent('info', 'PDF 本机深度识别完成', { method: result.method, length: result.text.length });\n          reply({ ok: Boolean(result?.ok), result, error: result?.error || '' });\n        } catch (error) {\n          reply({ ok: false, error: `桌面桥接不可用：${error.message}` });\n        }\n        break;\n      }\n      case 'SET_IMAGE':\n        await storage.set({ resumeImage: message.dataUrl || null });\n        await writeEvent('info', message.dataUrl ? '简历图片已保存' : '简历图片已移除');\n        reply({ ok: true });\n        break;\n      case 'BUILD_LOCAL_PROFILE':\n      case 'ENSURE_PROFILE_DRAFT': {\n        const { resumeText, profile: currentProfile, profileDraft: currentDraft } = await storage.get(['resumeText', 'profile', 'profileDraft']);\n        if (profileDraftHasCore(currentDraft) && profileHasCore(currentProfile)) {\n          reply({ ok: true, profile: currentProfile, profileDraft: currentDraft, skipped: true });\n          break;\n        }\n        if (profileHasCore(currentProfile)) {\n          const profileDraft = profileDraftHasAny(currentDraft)\n            ? normalizeProfileDraft(currentDraft, profileToDraft(currentProfile, 'profile-repair'))\n            : profileToDraft(currentProfile, 'profile-repair');\n          await storage.set({ profileDraft });\n          reply({ ok: true, profile: currentProfile, profileDraft, repaired: true });\n          break;\n        }\n        const profile = buildLocalProfile(resumeText || '');\n        profile.generation.mode = 'local-recovery';\n        profile.generation.label = '本地初稿';\n        profile.generation.warning = '已从保存的简历自动恢复可编辑初稿。';\n        const profileDraft = profileToDraft(profile, 'local-recovery');\n        const { directionPlan: currentDirectionPlan } = await storage.get('directionPlan');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        await writeEvent('info', '已从已保存简历恢复可编辑画像', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation: profile.generation });\n        break;\n      }\n      case 'BUILD_PROFILE': {\n        const { resumeText, directionPlan: currentDirectionPlan } = await storage.get(['resumeText', 'directionPlan']);\n        const profile = await buildProfile(resumeText || '');\n        const profileDraft = profileToDraft(profile, profile.generation?.mode || 'generated');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        const generation = profile.generation || {};\n        const local = generation.mode === 'local-fallback';\n        const eventTitle = !local\n          ? (generation.mode === 'ai-compact-retry' ? 'AI 精简重试成功，职业画像已生成' : '职业画像已生成')\n          : generation.aiStatus === 'service-error'\n            ? 'AI 请求失败，已生成本地可编辑画像'\n            : generation.aiStatus === 'config-missing'\n              ? 'AI 尚未配置，已生成本地可编辑画像'\n              : 'AI 输出未通过校验，已生成本地可编辑画像';\n        await writeEvent(local ? 'warning' : 'info', eventTitle,\n          { directions: profile.primaryDirections, generation });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation, warning: generation.warning || '' });\n        break;\n      }\n      case 'SAVE_PROFILE_DRAFT': {\n        const { profileDraft: currentDraft } = await storage.get('profileDraft');\n        const profileDraft = normalizeProfileDraft(message.profileDraft, currentDraft);\n        await storage.set({ profileDraft });\n        reply({ ok: true, profileDraft });\n        break;\n      }\n      case 'SAVE_PROFILE': {\n        const { profile: currentProfile, config = {}, profileDraft: currentDraft, directionPlan: currentDirectionPlan } = await storage.get(['profile', 'config', 'profileDraft', 'directionPlan']);\n        const profile = normalizeProfile(message.profile, currentProfile);\n        const profileDraft = profileToDraft(profile, 'manual-save');\n        const keepDirectionConfirmation = Boolean(\n          currentDirectionPlan?.confirmed\n          && profileDirectionSignature(currentProfile || {}) === profileDirectionSignature(profile)\n        );\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: keepDirectionConfirmation,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        const hard = profile.hardConstraints || {};\n        const nextConfig = {\n          ...config,\n          targetLocations: hard.locations?.length ? hard.locations : (config.targetLocations || []),\n          employmentTypes: hard.employmentTypes?.length ? hard.employmentTypes : (config.employmentTypes || ['不限']),\n          experiences: hard.experience ? [hard.experience] : (config.experiences || []),\n          degrees: hard.degree ? [hard.degree] : (config.degrees || []),\n          salary: hard.salary || config.salary || '不限'\n        };\n        await storage.set({ profile, profileDraft, directionPlan, config: nextConfig });\n        await writeEvent('info', '职业画像已手动保存', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, config: nextConfig });\n        break;\n      }\n      case 'REBUILD_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'profileDraft', 'directionPlan']);\n        let profile = stored.profile;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        const directionPlan = buildDirectionPlan(profile, stored.directionPlan, {\n          confirmed: false,\n          preserveSelections: false,\n          preserveEdits: false,\n          preserveCustom: true\n        });\n        await storage.set({ directionPlan });\n        await writeEvent('info', '已重新生成岗位方向推荐', {\n          directions: directionPlan.items.map(item => item.name),\n          enabled: directionPlan.items.filter(item => item.enabled).length\n        });\n        reply({ ok: true, directionPlan });\n        break;\n      }\n      case 'SAVE_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'config', 'workflow', 'directionPlan']);\n        if (!profileHasCore(stored.profile)) throw new Error('请先生成职业画像');\n        const directionPlan = normalizeDirectionPlan(message.directionPlan, stored.profile, {\n          confirmed: true,\n          updatedAt: Date.now(),\n          appliedAt: Date.now()\n        });\n        const selected = selectedDirectionItems(directionPlan);\n        if (!selected.length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(stored.profile, stored.config || DEFAULTS.config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可用搜索词，请先补充关键词');\n        await storage.set({ directionPlan });\n        await writeEvent('info', '投递岗位方向已保存', {\n          directions: selected.map(item => item.name),\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        reply({\n          ok: true,\n          directionPlan,\n          selectedCount: selected.length,\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        break;\n      }\n      case 'TEST_AI': {\n        const text = await callModel([\n          { role: 'system', content: '只回复“连接正常”。' },\n          { role: 'user', content: '测试连接' }\n        ], false);\n        reply({ ok: true, text });\n        break;\n      }\n      case 'PROBE_BOSS': {\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        const result = await ensureBossReceiver(tab);\n        reply({ ok: true, result: { ...result, tabId: tab.id, title: tab.title || '', url: tab.url || '' } });\n        break;\n      }\n      case 'START': {\n        const stored = await storage.get(['profile', 'profileDraft', 'resumeText', 'config', 'directionPlan']);\n        let profile = stored.profile;\n        const config = stored.config;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile) && String(stored.resumeText || '').trim().length >= 30) {\n          profile = buildLocalProfile(stored.resumeText || '');\n          profile.generation.mode = 'local-recovery';\n          profile.generation.label = '本地初稿';\n          const profileDraft = profileToDraft(profile, 'start-recovery');\n          await storage.set({ profile, profileDraft });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        let directionPlan = stored.directionPlan;\n        if (!directionPlan?.items?.length) {\n          directionPlan = buildDirectionPlan(profile, null, { confirmed: false });\n          await storage.set({ directionPlan });\n        }\n        directionPlan = normalizeDirectionPlan(directionPlan, profile);\n        if (!directionPlan.confirmed) throw new Error('请先在“简历 → 职业画像”中选择要投递的岗位方向并保存');\n        if (!selectedDirectionItems(directionPlan).length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(profile, config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可执行的搜索词，请补充方向关键词');\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        await ensureBossReceiver(tab);\n        const workflow = {\n          ...DEFAULTS.workflow,\n          running: true,\n          paused: false,\n          phase: 'search',\n          statusText: '正在启动岗位采集',\n          tasks,\n          activeRunId: null\n        };\n        await storage.set({ workflow });\n        try {\n          await sendToBossTab(tab, { type: 'RUN' });\n          await writeEvent('info', '任务已启动', { taskCount: workflow.tasks.length, tabId: tab.id });\n          reply({ ok: true });\n        } catch (error) {\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            phase: 'idle',\n            statusText: 'BOSS 页面连接失败，任务未启动'\n          });\n          throw error;\n        }\n        break;\n      }\n      case 'PAUSE':\n        await patchWorkflow({ paused: true, statusText: '用户已暂停' });\n        await writeEvent('info', '任务已暂停');\n        reply({ ok: true });\n        break;\n      case 'STOP':\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '用户已停止', pendingApplyId: null, activeRunId: null });\n        await writeEvent('info', '任务已停止');\n        reply({ ok: true });\n        break;\n      case 'AI_JOB':\n        reply({ ok: true, result: await analyzeJob(message.job) });\n        break;\n      case 'CHAT_BINDING_PREPARE': {\n        if (!message.pendingId || !message.expected) throw new Error('岗位与 HR 会话绑定信息不完整');\n        const transition = {\n          pendingId: String(message.pendingId),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          preparedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'CHAT_BINDING_CHECK': {\n        const expected = message.expected || {};\n        const recruiterName = String(message.context?.recruiterName || expected.recruiterName || '').trim();\n        const company = String(message.context?.companyName || expected.company || message.job?.company || '').trim();\n        const key = deriveConversationReservationKey(message.context || {}, expected, message.pendingId);\n        if (!key) {\n          reply({ ok: false, allowed: false, error: '目标 HR 已核验，但无法建立安全投递锁' });\n          break;\n        }\n        const { chatDeliveryLedger = {} } = await storage.get('chatDeliveryLedger');\n        const existing = chatDeliveryLedger[key];\n        const identityExisting = Object.values(chatDeliveryLedger).find(entry =>\n          entry?.pendingId !== message.pendingId\n          && ['reserved', 'sent'].includes(String(entry?.status || ''))\n          && sameRecruiterReservation(entry, recruiterName, company)\n        );\n        const conflict = existing && existing.pendingId !== message.pendingId ? existing : identityExisting;\n        if (conflict) {\n          reply({\n            ok: true,\n            allowed: false,\n            error: `当前 HR 会话已绑定其他岗位任务，禁止继续发送`,\n            existing: conflict\n          });\n          break;\n        }\n        const reservation = {\n          ...(existing || {}),\n          conversationKey: key,\n          pendingId: String(message.pendingId || ''),\n          runId: String(message.runId || ''),\n          jobUrl: String(message.job?.url || ''),\n          jobTitle: String(message.job?.title || ''),\n          company: String(message.job?.company || ''),\n          recruiterName,\n          company,\n          chatUrl: String(message.context?.url || ''),\n          status: existing?.status === 'sent' ? 'sent' : 'reserved',\n          reservedAt: existing?.reservedAt || Date.now(),\n          updatedAt: Date.now()\n        };\n        await storage.set({ chatDeliveryLedger: { ...chatDeliveryLedger, [key]: reservation } });\n        reply({ ok: true, allowed: true, conversationKey: key, reservation });\n        break;\n      }\n      case 'CHAT_BINDING_CONFIRMED': {\n        const transition = {\n          pendingId: String(message.pendingId || ''),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          context: safeClone(message.context || {}),\n          confirmedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'MATERIAL': {\n        const { resumeImage, config } = await storage.get(['resumeImage', 'config']);\n        reply({ ok: true, resumeImage, config });\n        break;\n      }\n      case 'CONTENT_STATE':\n        reply({ ok: true, state: await storage.all() });\n        break;\n      case 'WORKFLOW':\n        reply({ ok: true, workflow: await patchWorkflow(message.patch || {}) });\n        break;\n      case 'STATS':\n        reply({ ok: true, stats: await changeStats(message.delta || {}) });\n        break;\n      case 'TASK_PROGRESS': {\n        const run = await upsertTaskRun(message.run || {});\n        if (message.setActive) await patchWorkflow({ activeRunId: run.id });\n        reply({ ok: true, run });\n        break;\n      }\n      case 'SEARCH_TASK_PROGRESS':\n        reply({ ok: true, task: await updateSearchTaskProgress(message) });\n        break;\n      case 'RETRY_FAILED_TASK':\n        reply({ ok: true, ...(await retryFailedTask(message.runId)) });\n        break;\n      case 'RETRY_ALL_FAILED_TASKS':\n        reply({ ok: true, ...(await retryAllFailedTasks()) });\n        break;\n      case 'IGNORE_FAILED_TASK':\n        reply({ ok: true, run: await ignoreFailedTask(message.runId) });\n        break;\n      case 'OPEN_TASK_JOB': {\n        const url = String(message.url || '').trim();\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('岗位地址无效');\n        const tab = await chrome.tabs.create({ url, active: true });\n        reply({ ok: true, tabId: tab.id });\n        break;\n      }\n      case 'EVENT':\n        reply({ ok: true, event: await writeEvent(message.level || 'info', message.message || '', message.data || {}) });\n        break;\n      case 'PENDING':\n        reply({ ok: true, item: await addPending(message.item || {}) });\n        break;\n      case 'APPROVE':\n        reply({ ok: true, item: await approvePending(message.id, message.greeting || '') });\n        break;\n      case 'REJECT':\n        await rejectPending(message.id);\n        reply({ ok: true });\n        break;\n      case 'APPROVE_ALL':\n        reply({ ok: true, ...(await approveAllPending()) });\n        break;\n      case 'REJECT_ALL':\n        reply({ ok: true, ...(await rejectAllPending()) });\n        break;\n      case 'AUTO_APPROVE': {\n        const { pending = [] } = await storage.get('pending');\n        const next = rerankPending(pending.map(entry => entry.id === message.id\n          ? {\n              ...entry,\n              deliveryGreeting: String(message.greeting || entry.deliveryGreeting || entry.analysis?.greeting || '').trim(),\n              status: 'approved_queue',\n              approvedAt: Date.now()\n            }\n          : entry));\n        await storage.set({ pending: next });\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      }\n      case 'AUTO_DISPATCH_NEXT':\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      case 'SKIP_PENDING':\n        reply({ ok: true, ...(await skipPendingTask(message.id, message.reason, message.stageLabel)) });\n        break;\n      case 'APPLY_COMPLETE': {\n        const { pending = [], config = {}, stats = {}, chatDeliveryLedger = {}, chatTransition = null } = await storage.get(['pending', 'config', 'stats', 'chatDeliveryLedger', 'chatTransition']);\n        const completedAt = Date.now();\n        let completedItem = null;\n        let next = pending.map(entry => {\n          if (entry.id !== message.id) return entry;\n          completedItem = { ...entry, status: message.ok ? 'sent' : 'failed', completedAt, error: message.error || '' };\n          return completedItem;\n        });\n        const updatedStats = {\n          ...stats,\n          pending: next.filter(entry => entry.status === 'pending').length,\n          sent: Number(stats?.sent || 0) + (message.ok ? 1 : 0),\n          failed: Number(stats?.failed || 0) + (message.ok ? 0 : 1)\n        };\n        const conversationKey = String(message.conversation?.key || '');\n        let nextLedger = chatDeliveryLedger;\n        if (conversationKey && chatDeliveryLedger[conversationKey]?.pendingId === message.id) {\n          nextLedger = {\n            ...chatDeliveryLedger,\n            [conversationKey]: {\n              ...chatDeliveryLedger[conversationKey],\n              status: message.ok ? 'sent' : 'failed',\n              sentAt: message.ok ? completedAt : (chatDeliveryLedger[conversationKey].sentAt || null),\n              failedAt: message.ok ? null : completedAt,\n              error: message.error || '',\n              updatedAt: completedAt\n            }\n          };\n        }\n        const nextTransition = chatTransition?.pendingId === message.id ? null : chatTransition;\n        await storage.set({ pending: next, stats: updatedStats, chatDeliveryLedger: nextLedger, chatTransition: nextTransition });\n        const completedRun = await updateTaskRunByPending(message.id, message.ok\n          ? {\n              status: 'success', stage: 'success', progress: 100, stageLabel: '投递成功', error: '',\n              retryable: false, completedAt, result: message.result || 'sent'\n            }\n          : {\n              status: 'failed', stage: message.stage || 'failed', progress: 100,\n              stageLabel: message.stageLabel || '投递失败', error: message.error || '投递失败',\n              retryable: message.retryable !== false, retryRequestedAt: 0, completedAt\n            });\n        await writeEvent(message.ok ? 'success' : 'error', message.ok ? '求职投递成功' : '求职投递失败', {\n          id: message.id,\n          runId: completedRun?.id || completedItem?.runId || '',\n          job: completedItem?.job,\n          stage: message.stage || '',\n          error: message.error || ''\n        });\n\n        if (updatedStats.sent >= Number(config.dailyTarget || 150)) {\n          await patchWorkflow({ running: false, paused: true, pendingApplyId: null, activeRunId: null, phase: 'idle', statusText: `已完成今日 ${updatedStats.sent} 次成功投递` });\n          reply({ ok: true, targetReached: true });\n          break;\n        }\n\n        // 任何文字未确认场景都暂停当前队列，但只有输入框中确实存在完整招呼语时，\n        // 才提示“草稿已保留”。输入框为空时必须明确提示写入失败，不能误导用户。\n        if (!message.ok && message.pauseQueue) {\n          const draftPresent = message.preserveDraft === true || message.draftPresent === true;\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: completedRun?.id || completedItem?.runId || null,\n            phase: 'apply',\n            statusText: draftPresent\n              ? '发送未确认，已暂停队列；当前招呼语仍在输入框'\n              : '文字没有写入或没有发送，已暂停队列并停留在当前 HR 页面'\n          });\n          await writeEvent('warning', draftPresent\n            ? '自动投递已暂停，当前招呼语仍保留在输入框'\n            : '自动投递已暂停，聊天输入框中没有完整招呼语', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            draftPresent,\n            editorDiagnostics: message.editorDiagnostics || null,\n            error: message.error || ''\n          });\n          reply({ ok: true, pausedForDraft: draftPresent, pausedForSendFailure: true });\n          break;\n        }\n\n        next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n        if (queued) {\n          next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n          await storage.set({ pending: next });\n          const remaining = next.filter(entry => entry.status === 'approved_queue').length;\n          const queuedRun = await updateTaskRunByPending(queued.id, {\n            status: 'running', stage: 'queued', progress: 64, stageLabel: '准备投递', error: '', completedAt: null\n          });\n          await patchWorkflow({\n            pendingApplyId: queued.id,\n            activeRunId: queuedRun?.id || queued.runId || null,\n            running: true,\n            paused: false,\n            phase: 'apply',\n            statusText: `继续批量投递：${queued.job?.title || '岗位'}（剩余 ${remaining}）`\n          });\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ statusText: `当前岗位处理完成，${Math.round(pacingMs / 1000)} 秒后继续批量投递` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        } else {\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ pendingApplyId: null, activeRunId: null, phase: 'search', statusText: message.ok ? `文字投递已确认，${Math.round(pacingMs / 1000)} 秒后继续筛选` : `当前岗位失败，${Math.round(pacingMs / 1000)} 秒后继续筛选` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        }\n        reply({ ok: true });\n        break;\n      }\n      case 'BRIDGE_STATUS':\n        try { reply({ ok: true, result: await bridge('/status') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_REPORT':\n        try { reply({ ok: true, result: await bridge('/report') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_COMMAND':\n        try { reply({ ok: true, result: await bridge('/command', { type: message.command }) }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      default:\n        reply({ ok: false, error: 'unknown message' });\n    }\n  })().catch(async error => {\n    await writeEvent('error', '后台处理失败', { type: message?.type, error: error.message });\n    reply({ ok: false, error: error.message });\n  });\n  return true;\n});\n"}, "50acc0b6102f67c00c1ef1ce8cd500e3a9386a31": {"t": 1786067827.4746614, "n": 157588, "h": "b62afbe9c8346314", "c": "import { DEFAULTS, safeClone, today, uniq } from './common.js';\nimport { normalizeConversationIdentity, deriveConversationReservationKey, sameRecruiterReservation } from './lib/conversation-identity.js';\nimport { TERMINAL_RUN_STATUSES, taskStageMeta } from './lib/task-state.js';\nimport { rerankPending } from './lib/job-priority.js';\nimport { computeRateLimitDecision, evaluateStrategy, normalizeStrategy, recordRateAction, recordSafetyOutcome, resetSafetyCircuit, strictHardBlocks } from './lib/safety-control.js';\nimport { companyCacheKey, companyVerificationExpired, heuristicCompanyVerification, mergeCompanyVerification } from './lib/company-verifier.js';\nimport { createHistoryEntry, findDuplicate } from './lib/deduplication.js';\nimport { normalizeRelease } from './lib/update-checker.js';\n\nconst BRIDGE_ENDPOINTS = ['http://127.0.0.1:17899', 'http://localhost:17899'];\nconst NATIVE_BRIDGE_HOST = 'com.jobclaw.bridge';\nlet lastBridgeSnapshotAt = 0;\nlet bridgeUnavailableUntil = 0;\nlet bridgeLastError = '';\nconst EXPECTED_CONTENT_VERSION = '1.7.0';\nconst CONTENT_SCRIPT_FILE = 'content-v37.js';\nconst storage = {\n  get: keys => chrome.storage.local.get(keys),\n  all: () => chrome.storage.local.get(null),\n  set: patch => chrome.storage.local.set(patch)\n};\n\nconst debuggerLocks = new Map();\n\nconst OFFSCREEN_DOCUMENT_PATH = 'offscreen.html';\nlet offscreenCreation = null;\n\nasync function ensureClipboardOffscreen() {\n  if (!chrome.offscreen?.createDocument) return false;\n  const url = chrome.runtime.getURL(OFFSCREEN_DOCUMENT_PATH);\n  if (chrome.runtime.getContexts) {\n    const contexts = await chrome.runtime.getContexts({\n      contextTypes: ['OFFSCREEN_DOCUMENT'],\n      documentUrls: [url]\n    }).catch(() => []);\n    if (contexts?.length) return true;\n  }\n  if (!offscreenCreation) {\n    offscreenCreation = chrome.offscreen.createDocument({\n      url: OFFSCREEN_DOCUMENT_PATH,\n      reasons: ['CLIPBOARD'],\n      justification: '将求职招呼语以真实粘贴方式写入 BOSS 聊天编辑器'\n    }).then(() => true).catch(error => {\n      const message = String(error?.message || error || '');\n      if (/single offscreen|already exists|existing offscreen/i.test(message)) return true;\n      throw error;\n    }).finally(() => { offscreenCreation = null; });\n  }\n  return offscreenCreation;\n}\n\nasync function writeClipboardText(text) {\n  const value = String(text || '');\n  if (!value) return false;\n  try {\n    const ready = await ensureClipboardOffscreen();\n    if (!ready) return false;\n    const response = await chrome.runtime.sendMessage({ type: 'JOBCLAW_CLIPBOARD_WRITE', text: value });\n    return response?.ok === true;\n  } catch {\n    return false;\n  }\n}\n\nfunction validPoint(point) {\n  const x = Number(point?.x);\n  const y = Number(point?.y);\n  if (!Number.isFinite(x) || !Number.isFinite(y) || x < 0 || y < 0) {\n    throw new Error('聊天输入坐标无效');\n  }\n  return { x, y };\n}\n\nasync function debuggerBringToFront(target) {\n  await chrome.debugger.sendCommand(target, 'Page.bringToFront').catch(() => {});\n  await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression: 'window.focus(); true',\n    returnByValue: true\n  }).catch(() => {});\n}\n\nasync function debuggerNodeAtPoint(target, point) {\n  const { x, y } = validPoint(point);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getNodeForLocation', {\n    x, y,\n    includeUserAgentShadowDOM: true,\n    ignorePointerEventsNone: true\n  }).catch(() => null);\n  return {\n    nodeId: Number(result?.nodeId || 0),\n    backendNodeId: Number(result?.backendNodeId || 0),\n    frameId: String(result?.frameId || '')\n  };\n}\n\nasync function debuggerResolveNodeObject(target, node = {}) {\n  const args = {};\n  if (Number(node.nodeId || 0)) args.nodeId = Number(node.nodeId);\n  else if (Number(node.backendNodeId || 0)) args.backendNodeId = Number(node.backendNodeId);\n  else return '';\n  const resolved = await chrome.debugger.sendCommand(target, 'DOM.resolveNode', args).catch(() => null);\n  return String(resolved?.object?.objectId || '');\n}\n\nasync function debuggerReadObjectText(target, objectId = '') {\n  if (!objectId) return '';\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      if ('value' in this && !this.isContentEditable) return String(this.value || '');\n      return String(this.innerText || this.textContent || '');\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerReadNodeText(target, node = {}) {\n  const objectId = await debuggerResolveNodeObject(target, node);\n  return debuggerReadObjectText(target, objectId);\n}\n\nasync function debuggerFindEditableObject(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  const point = validPoint(message.point);\n  const expression = `(() => {\n    const exactSelector = ${JSON.stringify(selector)};\n    const point = ${JSON.stringify(point)};\n    const editableSelector = 'textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]';\n    const isEditable = node => {\n      if (!node || node.nodeType !== 1) return false;\n      const tag = String(node.tagName || '').toLowerCase();\n      if (tag === 'textarea') return true;\n      if (tag === 'input') {\n        const type = String(node.getAttribute('type') || 'text').toLowerCase();\n        return ['text', 'search', ''].includes(type);\n      }\n      const mode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n      return node.isContentEditable\n        || Boolean(mode && !['false', 'inherit', 'off'].includes(mode))\n        || node.getAttribute('role') === 'textbox'\n        || node.getAttribute('data-slate-editor') === 'true'\n        || node.getAttribute('data-lexical-editor') === 'true';\n    };\n    const deepQuery = (root, query) => {\n      if (!root) return null;\n      try {\n        const direct = root.querySelector?.(query);\n        if (direct) return direct;\n      } catch {}\n      let elements = [];\n      try { elements = [...(root.querySelectorAll?.('*') || [])]; } catch {}\n      for (const element of elements) {\n        if (element.shadowRoot) {\n          const found = deepQuery(element.shadowRoot, query);\n          if (found) return found;\n        }\n      }\n      return null;\n    };\n    const nearestEditable = node => {\n      let current = node;\n      for (let depth = 0; current && depth < 16; depth += 1) {\n        if (isEditable(current)) return current;\n        let nested = null;\n        try { nested = current.querySelector?.(editableSelector); } catch {}\n        if (nested && isEditable(nested)) return nested;\n        const root = current.getRootNode?.();\n        current = current.parentElement || (root && root.host) || null;\n      }\n      return null;\n    };\n    let node = exactSelector ? deepQuery(document, exactSelector) : null;\n    node = nearestEditable(node) || node;\n    if (!isEditable(node)) {\n      let pointNode = null;\n      try { pointNode = document.elementFromPoint(point.x, point.y); } catch {}\n      node = nearestEditable(pointNode);\n    }\n    if (!isEditable(node)) return null;\n    try { node.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n    try { node.focus({ preventScroll: true }); } catch { try { node.focus(); } catch {} }\n    if (node.isContentEditable) {\n      try {\n        const selection = window.getSelection();\n        const range = document.createRange();\n        range.selectNodeContents(node);\n        range.collapse(false);\n        selection.removeAllRanges();\n        selection.addRange(range);\n      } catch {}\n    }\n    return node;\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: false,\n    awaitPromise: false,\n    includeCommandLineAPI: false\n  }).catch(() => null);\n  const objectId = String(result?.result?.objectId || '');\n  if (!objectId) return { objectId: '', nodeId: 0, point, selector };\n  const requested = await chrome.debugger.sendCommand(target, 'DOM.requestNode', { objectId }).catch(() => null);\n  const nodeId = Number(requested?.nodeId || 0);\n  return { objectId, nodeId, point, selector };\n}\n\nasync function debuggerFocusObject(target, objectId = '') {\n  if (!objectId) return null;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.callFunctionOn', {\n    objectId,\n    functionDeclaration: `function() {\n      try { this.scrollIntoView({ block: 'nearest', inline: 'nearest', behavior: 'instant' }); } catch {}\n      try { this.focus({ preventScroll: true }); } catch { try { this.focus(); } catch {} }\n      if (this.isContentEditable) {\n        try {\n          const selection = window.getSelection();\n          const range = document.createRange();\n          range.selectNodeContents(this);\n          range.collapse(false);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        } catch {}\n      }\n      const rect = this.getBoundingClientRect();\n      return { left: rect.left, top: rect.top, width: rect.width, height: rect.height, tag: this.tagName || '', id: this.id || '' };\n    }`,\n    returnByValue: true,\n    silent: true\n  }).catch(() => null);\n  return result?.result?.value || null;\n}\n\nasync function debuggerPasteClipboard(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4,\n    commands: ['Paste']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp',\n    key: 'v',\n    code: 'KeyV',\n    windowsVirtualKeyCode: 86,\n    nativeVirtualKeyCode: 86,\n    modifiers: 4\n  });\n}\n\nasync function withTabDebugger(tabId, operation) {\n  if (!Number.isInteger(Number(tabId))) throw new Error('无法确定当前 BOSS 标签页');\n  const id = Number(tabId);\n  const previous = debuggerLocks.get(id) || Promise.resolve();\n  let release;\n  const current = new Promise(resolve => { release = resolve; });\n  const queueEntry = previous.then(() => current);\n  debuggerLocks.set(id, queueEntry);\n  await previous;\n  const target = { tabId: id };\n  let attached = false;\n  try {\n    await chrome.debugger.attach(target, '1.3');\n    attached = true;\n    await debuggerBringToFront(target);\n    return await operation(target);\n  } catch (error) {\n    const message = String(error?.message || error || '');\n    if (/Another debugger is already attached|Cannot attach to this target|DevTools/i.test(message)) {\n      throw new Error('Chrome 调试通道正被 DevTools 或其他工具占用，请关闭该 BOSS 页面的开发者工具后重试');\n    }\n    throw error;\n  } finally {\n    if (attached) await chrome.debugger.detach(target).catch(() => {});\n    release?.();\n    if (debuggerLocks.get(id) === queueEntry) debuggerLocks.delete(id);\n  }\n}\n\nasync function debuggerMouseClick(target, point) {\n  const { x, y } = validPoint(point);\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseMoved', x, y, button: 'none', buttons: 0\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mousePressed', x, y, button: 'left', buttons: 1, clickCount: 1\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchMouseEvent', {\n    type: 'mouseReleased', x, y, button: 'left', buttons: 0, clickCount: 1\n  });\n}\n\nasync function debuggerDocumentNode(target) {\n  const result = await chrome.debugger.sendCommand(target, 'DOM.getDocument', {\n    depth: -1,\n    pierce: true\n  });\n  const nodeId = Number(result?.root?.nodeId || 0);\n  if (!nodeId) throw new Error('无法读取当前 BOSS 页面 DOM');\n  return nodeId;\n}\n\nasync function debuggerNodeBySelector(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return 0;\n  const rootNodeId = await debuggerDocumentNode(target);\n  const result = await chrome.debugger.sendCommand(target, 'DOM.querySelector', {\n    nodeId: rootNodeId,\n    selector: normalized\n  });\n  return Number(result?.nodeId || 0);\n}\n\nasync function debuggerFocusTarget(target, message = {}) {\n  await debuggerBringToFront(target);\n\n  // 必须优先锁定 content script 临时标记的真实编辑节点。旧版先取坐标节点，\n  // BOSS 页面上经常命中编辑器外壳/透明层，导致看似有光标但文字没有进入编辑器。\n  const exact = await debuggerFindEditableObject(target, message).catch(() => ({ objectId: '', nodeId: 0 }));\n  if (exact.objectId) {\n    const rect = await debuggerFocusObject(target, exact.objectId);\n    if (rect && Number(rect.width) > 0 && Number(rect.height) > 0) {\n      const clickPoint = {\n        x: Math.round(Number(rect.left) + Math.max(8, Math.min(Number(rect.width) - 8, Number(rect.width) * 0.5))),\n        y: Math.round(Number(rect.top) + Math.max(8, Math.min(Number(rect.height) - 8, Number(rect.height) * 0.5)))\n      };\n      await debuggerMouseClick(target, clickPoint).catch(() => {});\n      await debuggerFocusObject(target, exact.objectId);\n      return { method: 'exact-selector-object-focus+click', ...exact, point: clickPoint, rect };\n    }\n    return { method: 'exact-selector-object-focus', ...exact, rect };\n  }\n\n  const pointNode = await debuggerNodeAtPoint(target, message.point).catch(() => ({ nodeId: 0, backendNodeId: 0 }));\n  if (pointNode.nodeId || pointNode.backendNodeId) {\n    const args = pointNode.nodeId ? { nodeId: pointNode.nodeId } : { backendNodeId: pointNode.backendNodeId };\n    await chrome.debugger.sendCommand(target, 'DOM.focus', args).catch(() => {});\n    await debuggerMouseClick(target, message.point).catch(() => {});\n    const objectId = await debuggerResolveNodeObject(target, pointNode).catch(() => '');\n    return { method: 'point-node-focus+click', ...pointNode, objectId };\n  }\n\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0, objectId: '' };\n}\n\nasync function debuggerClickTarget(target, message = {}) {\n  const selector = String(message.selector || '').trim();\n  if (selector) {\n    const nodeId = await debuggerNodeBySelector(target, selector);\n    if (nodeId) {\n      await chrome.debugger.sendCommand(target, 'DOM.scrollIntoViewIfNeeded', { nodeId }).catch(() => {});\n      const model = await chrome.debugger.sendCommand(target, 'DOM.getBoxModel', { nodeId });\n      const quad = model?.model?.content || model?.model?.border || [];\n      if (Array.isArray(quad) && quad.length >= 8) {\n        const xs = [quad[0], quad[2], quad[4], quad[6]].map(Number);\n        const ys = [quad[1], quad[3], quad[5], quad[7]].map(Number);\n        await debuggerMouseClick(target, {\n          x: xs.reduce((sum, value) => sum + value, 0) / xs.length,\n          y: ys.reduce((sum, value) => sum + value, 0) / ys.length\n        });\n        return { method: 'dom-box-click', nodeId };\n      }\n    }\n  }\n  await debuggerMouseClick(target, message.point);\n  return { method: 'coordinate-click', nodeId: 0 };\n}\n\nasync function debuggerReadTargetText(target, selector) {\n  const normalized = String(selector || '').trim();\n  if (!normalized) return '';\n  const expression = `(() => {\n    const element = document.querySelector(${JSON.stringify(normalized)});\n    if (!element) return '';\n    if ('value' in element) return String(element.value || '');\n    return String(element.innerText || element.textContent || '');\n  })()`;\n  const result = await chrome.debugger.sendCommand(target, 'Runtime.evaluate', {\n    expression,\n    returnByValue: true,\n    awaitPromise: false\n  });\n  return String(result?.result?.value || '');\n}\n\nasync function debuggerSelectAll(target) {\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4, commands: ['SelectAll']\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'a', code: 'KeyA', windowsVirtualKeyCode: 65,\n    nativeVirtualKeyCode: 65, modifiers: 4\n  });\n}\n\nasync function debuggerPressEnter(target) {\n  // 与 Selenium/Playwright 的真实 Enter 等价：rawKeyDown 携带回车文本后再 keyUp。\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'rawKeyDown', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13, text: '\\r', unmodifiedText: '\\r'\n  });\n  await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n    type: 'keyUp', key: 'Enter', code: 'Enter', windowsVirtualKeyCode: 13,\n    nativeVirtualKeyCode: 13\n  });\n}\n\nasync function debuggerTypeText(target, text) {\n  const value = String(text || '');\n  for (const character of value) {\n    await chrome.debugger.sendCommand(target, 'Input.dispatchKeyEvent', {\n      type: 'char',\n      text: character,\n      unmodifiedText: character\n    });\n    await new Promise(resolve => setTimeout(resolve, 12));\n  }\n}\n\nasync function mainWorldWriteChatText(tabId, selector, text) {\n  const normalizedSelector = String(selector || '').trim();\n  const desired = String(text || '');\n  if (!normalizedSelector || !desired.trim()) throw new Error('聊天输入目标或招呼语为空');\n  const results = await chrome.scripting.executeScript({\n    target: { tabId: Number(tabId) },\n    world: 'MAIN',\n    func: (exactSelector, nextText) => {\n      const normalizeText = value => String(value || '').replace(/\\s+/g, '').trim();\n      const isEditable = node => {\n        if (!node || typeof node.matches !== 'function') return false;\n        const tag = String(node.tagName || '').toLowerCase();\n        if (tag === 'textarea') return true;\n        if (tag === 'input') {\n          const type = String(node.getAttribute('type') || 'text').toLowerCase();\n          return ['text', 'search', ''].includes(type);\n        }\n        const editableMode = String(node.getAttribute('contenteditable') || '').toLowerCase();\n        return node.isContentEditable\n          || Boolean(editableMode && !['false', 'inherit', 'off'].includes(editableMode))\n          || node.getAttribute('role') === 'textbox'\n          || node.getAttribute('data-slate-editor') === 'true'\n          || node.getAttribute('data-lexical-editor') === 'true';\n      };\n      const deepQuery = (rootNode, query) => {\n        if (!rootNode) return null;\n        try {\n          const direct = rootNode.querySelector?.(query);\n          if (direct) return direct;\n        } catch {}\n        let elements = [];\n        try { elements = [...(rootNode.querySelectorAll?.('*') || [])]; } catch {}\n        for (const element of elements) {\n          if (element.shadowRoot) {\n            const found = deepQuery(element.shadowRoot, query);\n            if (found) return found;\n          }\n        }\n        return null;\n      };\n      const root = deepQuery(document, exactSelector);\n      if (!root) return { ok: false, reason: 'selector-not-found' };\n      const editor = isEditable(root)\n        ? root\n        : [...root.querySelectorAll('textarea,input[type=\"text\"],input:not([type]),[contenteditable]:not([contenteditable=\"false\"]),[role=\"textbox\"],[data-slate-editor=\"true\"],[data-lexical-editor=\"true\"]')].find(isEditable);\n      if (!editor) return { ok: false, reason: 'editable-not-found', rootTag: String(root.tagName || '') };\n\n      const readValue = () => {\n        if ('value' in editor && !editor.isContentEditable) return String(editor.value || '');\n        return String(editor.innerText || editor.textContent || '');\n      };\n      const dispatchInput = (inputType, data) => {\n        try {\n          editor.dispatchEvent(new InputEvent('input', {\n            bubbles: true,\n            cancelable: false,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          editor.dispatchEvent(new Event('input', { bubbles: true, composed: true }));\n        }\n      };\n      const dispatchBeforeInput = (inputType, data) => {\n        try {\n          return editor.dispatchEvent(new InputEvent('beforeinput', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            inputType,\n            data\n          }));\n        } catch {\n          return true;\n        }\n      };\n\n      editor.scrollIntoView?.({ block: 'nearest', inline: 'nearest', behavior: 'instant' });\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const previous = readValue();\n      const tag = String(editor.tagName || '').toLowerCase();\n      let method = '';\n\n      if ((tag === 'textarea' || tag === 'input') && 'value' in editor) {\n        const proto = tag === 'textarea' ? HTMLTextAreaElement.prototype : HTMLInputElement.prototype;\n        const setter = Object.getOwnPropertyDescriptor(proto, 'value')?.set;\n        dispatchBeforeInput('deleteByCut', null);\n        if (setter) setter.call(editor, ''); else editor.value = '';\n        dispatchInput('deleteByCut', null);\n        const tracker = editor._valueTracker;\n        if (tracker?.setValue) tracker.setValue(previous);\n        dispatchBeforeInput('insertText', nextText);\n        if (setter) setter.call(editor, nextText); else editor.value = nextText;\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        method = 'main-native-value-setter';\n      } else {\n        const selection = window.getSelection?.();\n        if (selection && document.createRange) {\n          const range = document.createRange();\n          range.selectNodeContents(editor);\n          selection.removeAllRanges();\n          selection.addRange(range);\n        }\n        dispatchBeforeInput('deleteContentBackward', null);\n        let inserted = false;\n        try {\n          const transfer = new DataTransfer();\n          transfer.setData('text/plain', nextText);\n          const pasteEvent = new ClipboardEvent('paste', {\n            bubbles: true,\n            cancelable: true,\n            composed: true,\n            clipboardData: transfer\n          });\n          editor.dispatchEvent(pasteEvent);\n          inserted = normalizeText(readValue()).includes(normalizeText(nextText));\n        } catch {\n          inserted = false;\n        }\n        if (!inserted) {\n          try {\n            inserted = Boolean(document.execCommand?.('insertText', false, nextText));\n          } catch {\n            inserted = false;\n          }\n        }\n        if (!inserted || !normalizeText(readValue()).includes(normalizeText(nextText))) {\n          try {\n            editor.replaceChildren(document.createTextNode(nextText));\n          } catch {\n            editor.textContent = nextText;\n          }\n        }\n        dispatchInput('insertText', nextText);\n        editor.dispatchEvent(new Event('change', { bubbles: true, composed: true }));\n        try {\n          editor.dispatchEvent(new CompositionEvent('compositionend', { bubbles: true, composed: true, data: nextText }));\n        } catch {}\n        method = inserted ? 'main-exec-command' : 'main-contenteditable-replace';\n      }\n\n      try { HTMLElement.prototype.focus.call(editor); } catch { editor.focus?.(); }\n      const actual = readValue();\n      const compactExpected = normalizeText(nextText);\n      const compactActual = normalizeText(actual);\n      return {\n        ok: Boolean(compactActual && compactActual.includes(compactExpected)),\n        method,\n        actual,\n        tag,\n        id: String(editor.id || ''),\n        className: String(editor.className || '').slice(0, 180),\n        contenteditable: String(editor.getAttribute?.('contenteditable') || ''),\n        role: String(editor.getAttribute?.('role') || '')\n      };\n    },\n    args: [normalizedSelector, desired]\n  });\n  return results?.[0]?.result || { ok: false, reason: 'main-world-no-result' };\n}\n\nasync function trustedChatInput(tabId, message = {}) {\n  const action = String(message.action || '');\n  if (action === 'replaceText' || action === 'replaceTextAndEnter') {\n    const text = String(message.text || '');\n    if (!text.trim()) throw new Error('待输入的招呼语为空');\n    const compactExpected = text.replace(/\\s+/g, '');\n\n    // 写入和 Enter 必须在同一次 debugger 会话、同一个精确编辑节点上完成。\n    // 这是 Selenium sendKeys / Playwright locator.type + Enter 的同类浏览器级路径，\n    // 避免旧版“聚焦了外壳、文字没有进入真实编辑器”的问题。\n    return withTabDebugger(tabId, async target => {\n      let focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n\n      const readExact = async () => debuggerReadObjectText(target, focus.objectId);\n      const refocus = async () => {\n        const refreshed = await debuggerFocusTarget(target, message);\n        if (refreshed.objectId) focus = refreshed;\n        if (!focus.objectId) throw new Error('BOSS 聊天编辑节点已失效');\n        return focus;\n      };\n      const matches = value => {\n        const compact = String(value || '').replace(/\\s+/g, '');\n        return Boolean(compact && (compact === compactExpected || compact.includes(compactExpected)));\n      };\n\n      let actual = '';\n      let writeMethod = '';\n\n      // 1) 精确对象聚焦后使用 CDP Input.insertText，最接近真实键盘输入。\n      await debuggerSelectAll(target);\n      await chrome.debugger.sendCommand(target, 'Input.insertText', { text });\n      await new Promise(resolve => setTimeout(resolve, 700));\n      actual = await readExact();\n      writeMethod = 'exact-cdp-insert-text';\n\n      // 2) 某些富文本编辑器只响应原生 paste。\n      if (!matches(actual) && await writeClipboardText(text)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerPasteClipboard(target);\n        await new Promise(resolve => setTimeout(resolve, 900));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-clipboard-paste';\n      }\n\n      // 3) React/Vue 受控编辑器可能需要主世界 setter/beforeinput/input。\n      if (!matches(actual)) {\n        const mainWrite = await mainWorldWriteChatText(tabId, message.selector, text).catch(error => ({\n          ok: false,\n          reason: String(error?.message || error || 'main-world-write-failed')\n        }));\n        await refocus();\n        await new Promise(resolve => setTimeout(resolve, 650));\n        actual = await readExact();\n        writeMethod = mainWrite?.method || 'main-world-write';\n      }\n\n      // 4) 最后兜底为逐字符可信键盘输入，仍锁定同一个真实节点。\n      if (!matches(actual)) {\n        await refocus();\n        await debuggerSelectAll(target);\n        await debuggerTypeText(target, text);\n        await new Promise(resolve => setTimeout(resolve, 1000));\n        actual = await readExact();\n        writeMethod = 'exact-cdp-keyboard-type';\n      }\n\n      if (!matches(actual)) {\n        throw new Error(`文字没有进入 BOSS 真实聊天编辑器；实际长度=${String(actual || '').length}`);\n      }\n\n      if (action === 'replaceTextAndEnter') {\n        await refocus();\n        // 给 BOSS 受控状态一次提交渲染机会，再发送真实 Enter。\n        await new Promise(resolve => setTimeout(resolve, 520));\n        await debuggerPressEnter(target);\n      }\n\n      return {\n        ok: true,\n        action,\n        length: text.length,\n        insertedBeforeSend: true,\n        writeMethod,\n        actualLength: String(actual || '').length,\n        focusMethod: focus.method,\n        editor: {\n          nodeId: Number(focus.nodeId || 0),\n          selector: String(message.selector || '')\n        }\n      };\n    });\n  }\n\n  return withTabDebugger(tabId, async target => {\n    if (action === 'pressEnter') {\n      const focus = await debuggerFocusTarget(target, message);\n      if (!focus.objectId) throw new Error('没有定位到 BOSS 真实聊天编辑节点');\n      await new Promise(resolve => setTimeout(resolve, 320));\n      await debuggerPressEnter(target);\n      return { ok: true, action, focusMethod: focus.method };\n    }\n    if (action === 'click') {\n      const click = await debuggerClickTarget(target, message);\n      return { ok: true, action, clickMethod: click.method };\n    }\n    throw new Error('不支持的可信输入动作');\n  });\n}\n\nasync function init() {\n  const current = await storage.all();\n  const patch = {};\n  for (const [key, value] of Object.entries(DEFAULTS)) {\n    if (current[key] === undefined) patch[key] = value;\n  }\n  if (!current.ui9ModeMigration) {\n    const currentConfig = current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...currentConfig,\n      executionMode: currentConfig.executionMode === 'auto' ? 'auto' : 'review',\n      dailyTarget: Number(currentConfig.dailyTarget || 0) === 40 ? 150 : Number(currentConfig.dailyTarget || 150)\n    };\n    patch.ui9ModeMigration = true;\n  }\n  if (!current.ui10UnlimitedV4Migration) {\n    const baseConfig = patch.config || current.config || {};\n    const baseModel = { ...DEFAULTS.config.model, ...(baseConfig.model || {}) };\n    const baseUrl = String(baseModel.baseUrl || DEFAULTS.config.model.baseUrl);\n    const modelName = String(baseModel.model || '').trim();\n    const isDeepSeek = /deepseek\\.com/i.test(baseUrl);\n    const legacyDeepSeekModel = !modelName || ['deepseek-chat', 'deepseek-reasoner', 'deepseek-v4'].includes(modelName);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      discoveryLimit: 0,\n      model: {\n        ...baseModel,\n        model: isDeepSeek && legacyDeepSeekModel ? 'deepseek-v4-pro' : (modelName || 'deepseek-v4-pro')\n      }\n    };\n    patch.ui10UnlimitedV4Migration = true;\n  }\n  if (!current.ui20ReliableSendMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(8, Math.min(30, Number(baseConfig.betweenJobsSeconds || 8))),\n      attachmentDelaySeconds: Math.max(1, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 2)))\n    };\n    patch.ui20ReliableSendMigration = true;\n  }\n  if (!current.ui21ConversationBindingMigration) {\n    patch.chatTransition = null;\n    patch.chatDeliveryLedger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object'\n      ? current.chatDeliveryLedger\n      : {};\n    patch.ui21ConversationBindingMigration = true;\n  }\n  if (!current.ui22StrictTranscriptMigration) {\n    const baseConfig = patch.config || current.config || {};\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      betweenJobsSeconds: Math.max(12, Math.min(30, Number(baseConfig.betweenJobsSeconds || 12))),\n      attachmentDelaySeconds: Math.max(4, Math.min(10, Number(baseConfig.attachmentDelaySeconds || 4)))\n    };\n    patch.ui22StrictTranscriptMigration = true;\n  }\n  if (!current.ui24VerifiedConversationMigration) {\n    patch.chatTransition = null;\n    patch.ui24VerifiedConversationMigration = true;\n  }\n  if (!current.ui27TrustedInputMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      phase: 'idle',\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '可信发送引擎已升级，请重新开始任务'\n    };\n    patch.chatTransition = null;\n    patch.ui27TrustedInputMigration = true;\n  }\n  if (!current.ui12ProfileDraftMigration) {\n    let migratedProfile = current.profile && typeof current.profile === 'object' ? current.profile : null;\n    let migratedDraft = current.profileDraft && typeof current.profileDraft === 'object'\n      ? normalizeProfileDraft(current.profileDraft)\n      : null;\n    if (!profileDraftHasAny(migratedDraft) && profileHasCore(migratedProfile)) {\n      migratedDraft = profileToDraft(migratedProfile, 'migration');\n    }\n    if (!profileDraftHasCore(migratedDraft) && String(current.resumeText || '').trim().length >= 30) {\n      try {\n        migratedProfile = buildLocalProfile(current.resumeText || '');\n        migratedProfile.generation.mode = 'local-recovery';\n        migratedProfile.generation.label = '本地初稿';\n        migratedProfile.generation.warning = '已从保存的简历恢复初稿。';\n        migratedDraft = profileToDraft(migratedProfile, 'recovery');\n        patch.profile = migratedProfile;\n      } catch {\n        // 简历内容不足时只保留现有数据，不生成空画像。\n      }\n    }\n    if (profileDraftHasAny(migratedDraft)) patch.profileDraft = migratedDraft;\n    patch.ui12ProfileDraftMigration = true;\n  }\n  if (!current.ui37DirectionPlanMigration) {\n    const profileForPlan = patch.profile || current.profile || null;\n    const existingPlan = current.directionPlan && typeof current.directionPlan === 'object'\n      ? current.directionPlan\n      : null;\n    if (profileHasCore(profileForPlan)) {\n      patch.directionPlan = buildDirectionPlan(profileForPlan, existingPlan, {\n        confirmed: Boolean(existingPlan?.confirmed),\n        preserveSelections: true,\n        preserveEdits: true,\n        preserveCustom: true\n      });\n    } else if (existingPlan) {\n      patch.directionPlan = normalizeDirectionPlan(existingPlan, profileForPlan);\n    }\n    patch.ui37DirectionPlanMigration = true;\n  }\n  if (!current.ui18TaskProgressMigration) {\n    const migratedPending = Array.isArray(current.pending) ? current.pending.map(entry => ({ ...entry })) : [];\n    const migratedRuns = Array.isArray(current.taskRuns) ? current.taskRuns.map(run => normalizeTaskRun(run, run)) : [];\n    for (let index = 0; index < migratedPending.length; index += 1) {\n      const item = migratedPending[index];\n      let run = migratedRuns.find(entry => entry.id === item.runId || entry.pendingId === item.id);\n      if (!run) {\n        const statusMap = {\n          pending: ['waiting_review', 'waiting_review', 60],\n          approved: ['running', 'queued', 64],\n          approved_queue: ['queued', 'queued', 64],\n          sent: ['success', 'success', 100],\n          failed: ['failed', 'failed', 100],\n          rejected: ['ignored', 'ignored', 100]\n        };\n        const [status, stage, progress] = statusMap[item.status] || ['skipped', 'skipped', 100];\n        run = normalizeTaskRun({\n          id: crypto.randomUUID(),\n          pendingId: item.id,\n          job: item.job,\n          analysis: item.analysis,\n          searchTask: item.task,\n          status,\n          stage,\n          progress,\n          error: item.error || '',\n          retryable: item.status === 'failed',\n          createdAt: item.createdAt || Date.now(),\n          completedAt: ['sent', 'failed', 'rejected'].includes(item.status) ? (item.completedAt || item.rejectedAt || Date.now()) : null\n        });\n        migratedRuns.push(run);\n      }\n      migratedPending[index] = { ...item, runId: run.id };\n    }\n    const workflow = { ...DEFAULTS.workflow, ...(current.workflow || {}) };\n    workflow.tasks = (workflow.tasks || []).map((task, index) => ({\n      ...task,\n      id: task.id || crypto.randomUUID(),\n      status: task.status || (index < Number(workflow.taskIndex || 0) ? 'completed' : index === Number(workflow.taskIndex || 0) && workflow.running ? 'running' : 'pending'),\n      progress: Number.isFinite(Number(task.progress)) ? Number(task.progress) : (index < Number(workflow.taskIndex || 0) ? 100 : 0),\n      stageLabel: task.stageLabel || (index < Number(workflow.taskIndex || 0) ? '已完成' : '等待开始'),\n      processed: Number(task.processed || 0),\n      discovered: Number(task.discovered || 0),\n      analyzed: Number(task.analyzed || 0),\n      failed: Number(task.failed || 0)\n    }));\n    patch.pending = migratedPending;\n    patch.taskRuns = migratedRuns;\n    patch.workflow = workflow;\n    patch.ui18TaskProgressMigration = true;\n  }\n  if (!current.ui20GreetingLockMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = basePending.map(item => ({\n      ...item,\n      deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim()\n    }));\n    patch.ui20GreetingLockMigration = true;\n  }\n  if (!current.ui30AtomicSendSortMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: '投递引擎与岗位自动排序已升级，请重新开始'\n    };\n    patch.chatTransition = null;\n    patch.ui30AtomicSendSortMigration = true;\n  }\n  if (!current.ui31ConversationSelectionMigration) {\n    const basePending = Array.isArray(patch.pending) ? patch.pending : (Array.isArray(current.pending) ? current.pending : []);\n    patch.pending = rerankPending(basePending);\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话选择与身份核对已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui31ConversationSelectionMigration = true;\n  }\n  if (!current.ui35ConversationKeyMigration) {\n    const baseWorkflow = patch.workflow || current.workflow || {};\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...baseWorkflow,\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'HR 会话锁已升级，请重新开始'\n    };\n    const ledger = current.chatDeliveryLedger && typeof current.chatDeliveryLedger === 'object' ? current.chatDeliveryLedger : {};\n    patch.chatDeliveryLedger = Object.fromEntries(Object.entries(ledger).filter(([, entry]) => entry?.status === 'sent'));\n    patch.chatTransition = null;\n    patch.ui35ConversationKeyMigration = true;\n  }\n  if (!current.v130SingleValidationMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const alreadySuccessful = Number(current.stats?.sent || 0) > 0\n      || Number(baseConfig.singleJobValidationCompletedAt || 0) > 0;\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      requireSingleJobValidation: baseConfig.requireSingleJobValidation !== false,\n      singleJobValidationCompletedAt: alreadySuccessful\n        ? Number(baseConfig.singleJobValidationCompletedAt || Date.now())\n        : 0\n    };\n    patch.v130SingleValidationMigration = true;\n  }\n  if (!current.v170SafetyIntelligenceMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const legacyTarget = Number(baseConfig.dailyTarget || 0);\n    const legacyDiscovery = Number(baseConfig.discoveryLimit || 0);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: normalizeStrategy(baseConfig.batchStrategy),\n      dryRun: Boolean(baseConfig.dryRun),\n      dailyTarget: legacyTarget <= 0 ? 30 : Math.min(150, legacyTarget),\n      discoveryLimit: legacyDiscovery <= 0 ? 150 : Math.min(800, legacyDiscovery),\n      betweenJobsSeconds: Math.max(6, Number(baseConfig.betweenJobsSeconds || 9)),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      maxConsecutiveFailures: Math.max(1, Math.min(10, Number(baseConfig.maxConsecutiveFailures || 3))),\n      jitterSeconds: Math.max(0, Math.min(15, Number(baseConfig.jitterSeconds ?? 3))),\n      companyVerificationEnabled: baseConfig.companyVerificationEnabled !== false,\n      companyVerificationProvider: String(baseConfig.companyVerificationProvider || 'bridge'),\n      companyVerificationCacheDays: Math.max(1, Math.min(90, Number(baseConfig.companyVerificationCacheDays || 14))),\n      blockUnknownCompanies: Boolean(baseConfig.blockUnknownCompanies),\n      updateCheckEnabled: baseConfig.updateCheckEnabled !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.companyVerificationCache = current.companyVerificationCache && typeof current.companyVerificationCache === 'object' ? current.companyVerificationCache : {};\n    patch.deliveryHistory = Array.isArray(current.deliveryHistory) ? current.deliveryHistory : [];\n    patch.updateInfo = { ...DEFAULTS.updateInfo, ...(current.updateInfo || {}), currentVersion: '1.7.0' };\n    patch.workflow = {\n      ...DEFAULTS.workflow,\n      ...(patch.workflow || current.workflow || {}),\n      running: false,\n      paused: true,\n      pendingApplyId: null,\n      activeRunId: null,\n      statusText: 'v1.7 安全投递引擎已升级 请检查限速和企业核验设置后重新开始'\n    };\n    patch.v170SafetyIntelligenceMigration = true;\n  }\n  if (!current.v170FormalReleaseMigration) {\n    const baseConfig = patch.config || current.config || {};\n    const migratedStrategy = normalizeStrategy(baseConfig.batchStrategy);\n    patch.config = {\n      ...DEFAULTS.config,\n      ...baseConfig,\n      batchStrategy: migratedStrategy,\n      massApplyAnalysis: ['fast', 'ai'].includes(baseConfig.massApplyAnalysis) ? baseConfig.massApplyAnalysis : 'fast',\n      pacingPreset: ['conservative', 'standard', 'efficient', 'custom'].includes(baseConfig.pacingPreset) ? baseConfig.pacingPreset : 'standard',\n      dailyTarget: Math.max(1, Math.min(150, Number(baseConfig.dailyTarget || 30))),\n      discoveryLimit: Math.max(1, Math.min(800, Number(baseConfig.discoveryLimit || 150))),\n      betweenJobsSeconds: Math.max(6, Math.min(120, Number(baseConfig.betweenJobsSeconds || 9))),\n      attachmentDelaySeconds: Math.max(1.5, Math.min(15, Number(baseConfig.attachmentDelaySeconds || 3))),\n      maxPerCompanyPerDay: Math.max(1, Math.min(12, Number(baseConfig.maxPerCompanyPerDay || 3))),\n      queueWarmup: Math.max(1, Math.min(10, Number(baseConfig.queueWarmup || 4))),\n      dailyReportEnabled: baseConfig.dailyReportEnabled !== false,\n      dailyReportTime: /^\\d{2}:\\d{2}$/.test(String(baseConfig.dailyReportTime || '')) ? String(baseConfig.dailyReportTime) : '20:30',\n      dailyReportNotification: baseConfig.dailyReportNotification !== false,\n      rateLimits: { ...DEFAULTS.config.rateLimits, ...(baseConfig.rateLimits || {}) }\n    };\n    patch.safetyState = { ...DEFAULTS.safetyState, ...(current.safetyState || {}) };\n    patch.v170FormalReleaseMigration = true;\n  }\n  if (Object.keys(patch).length) await storage.set(patch);\n  const { stats } = await storage.get('stats');\n  if (!stats || stats.date !== today()) {\n    await storage.set({ stats: { ...DEFAULTS.stats, date: today() } });\n  }\n  await refreshBossTabsForRuntimeVersion();\n  await chrome.sidePanel.setPanelBehavior({ openPanelOnActionClick: true }).catch(() => {});\n  chrome.alarms.create('jobclaw-tick', { periodInMinutes: 1 });\n  chrome.alarms.create('jobclaw-update-check', { periodInMinutes: 360 });\n  checkForUpdates(false).catch(() => {});\n  syncBridgeSnapshot(true).catch(() => {});\n}\n\nfunction publicState(all) {\n  const state = safeClone(all);\n  if (state?.config?.model) {\n    state.config.model.apiKey = state.config.model.apiKey ? '***' : '';\n  }\n  if (state?.resumeImage) state.resumeImage = '[已保存]';\n  if (state?.resumeSourceFile) {\n    const { name, type, size, lastModified } = state.resumeSourceFile;\n    state.resumeSourceFile = { name, type, size, lastModified, stored: true };\n  }\n  return state;\n}\n\nasync function writeEvent(level, message, data = {}) {\n  const { events = [] } = await storage.get('events');\n  const event = { id: crypto.randomUUID(), ts: Date.now(), level, message, data };\n  events.unshift(event);\n  await storage.set({ events: events.slice(0, 300) });\n  bridge('/sync', { event }).catch(() => {});\n  return event;\n}\n\nasync function patchWorkflow(patch) {\n  const { workflow } = await storage.get('workflow');\n  const next = { ...DEFAULTS.workflow, ...(workflow || {}), ...(patch || {}) };\n  await storage.set({ workflow: next });\n  return next;\n}\n\nasync function changeStats(delta = {}) {\n  const { stats } = await storage.get('stats');\n  const next = { ...DEFAULTS.stats, ...(stats || {}), date: today() };\n  for (const [key, value] of Object.entries(delta)) {\n    next[key] = Math.max(0, Number(next[key] || 0) + Number(value || 0));\n  }\n  await storage.set({ stats: next });\n  return next;\n}\n\n\nfunction runJobKey(job = {}) {\n  return String(job.jobId || job.encryptJobId || job.url || [job.title, job.company, job.location].filter(Boolean).join('|') || '').trim();\n}\n\nfunction normalizeTaskRun(input = {}, existing = {}) {\n  const now = Date.now();\n  const stage = String(input.stage || existing.stage || 'discovered');\n  const meta = taskStageMeta(stage, input.stageLabel, input.progress);\n  const status = String(input.status || existing.status || 'running');\n  const terminal = TERMINAL_RUN_STATUSES.has(status);\n  return {\n    ...existing,\n    ...input,\n    id: input.id || existing.id || crypto.randomUUID(),\n    jobKey: input.jobKey || existing.jobKey || runJobKey(input.job || existing.job || {}),\n    status,\n    stage,\n    stageLabel: meta.label,\n    progress: meta.progress,\n    createdAt: existing.createdAt || input.createdAt || now,\n    startedAt: existing.startedAt || input.startedAt || (status === 'running' ? now : null),\n    updatedAt: now,\n    completedAt: terminal ? (input.completedAt || existing.completedAt || now) : null,\n    retryCount: Math.max(0, Number(input.retryCount ?? existing.retryCount ?? 0)),\n    error: String(input.error ?? existing.error ?? ''),\n    retryable: input.retryable ?? existing.retryable ?? Boolean(input.pendingId || existing.pendingId)\n  };\n}\n\nasync function upsertTaskRun(patch = {}) {\n  const { taskRuns = [] } = await storage.get('taskRuns');\n  const jobKey = patch.jobKey || runJobKey(patch.job || {});\n  const index = taskRuns.findIndex(run => run.id === patch.id || (jobKey && run.jobKey === jobKey && !TERMINAL_RUN_STATUSES.has(run.status)));\n  const existing = index >= 0 ? taskRuns[index] : {};\n  const nextRun = normalizeTaskRun({ ...patch, jobKey }, existing);\n  const next = index >= 0\n    ? taskRuns.map((run, runIndex) => runIndex === index ? nextRun : run)\n    : [nextRun, ...taskRuns];\n  await storage.set({ taskRuns: next });\n  return nextRun;\n}\n\nasync function updateTaskRunByPending(pendingId, patch = {}) {\n  if (!pendingId) return null;\n  const { pending = [], taskRuns = [] } = await storage.get(['pending', 'taskRuns']);\n  const item = pending.find(entry => entry.id === pendingId);\n  const run = taskRuns.find(entry => entry.id === item?.runId || entry.pendingId === pendingId);\n  if (!run && !item) return null;\n  return upsertTaskRun({\n    id: run?.id || item?.runId,\n    pendingId,\n    job: item?.job || run?.job,\n    analysis: item?.analysis || run?.analysis,\n    searchTask: item?.task || run?.searchTask,\n    ...patch\n  });\n}\n\nasync function updateSearchTaskProgress(message = {}) {\n  const { workflow } = await storage.get('workflow');\n  const nextWorkflow = { ...DEFAULTS.workflow, ...(workflow || {}) };\n  const tasks = Array.isArray(nextWorkflow.tasks) ? [...nextWorkflow.tasks] : [];\n  const index = tasks.findIndex(task => task.id === message.taskId);\n  const fallbackIndex = Number.isInteger(message.taskIndex) ? message.taskIndex : -1;\n  const targetIndex = index >= 0 ? index : fallbackIndex;\n  if (targetIndex < 0 || targetIndex >= tasks.length) return null;\n  const current = tasks[targetIndex] || {};\n  const progress = Math.max(0, Math.min(100, Number(message.progress ?? current.progress ?? 0)));\n  tasks[targetIndex] = {\n    ...current,\n    status: message.status || current.status || 'pending',\n    stageLabel: message.stageLabel || current.stageLabel || '',\n    progress,\n    processed: Math.max(0, Number(message.processed ?? current.processed ?? 0)),\n    discovered: Math.max(0, Number(message.discovered ?? current.discovered ?? 0)),\n    analyzed: Math.max(0, Number(message.analyzed ?? current.analyzed ?? 0)),\n    failed: Math.max(0, Number(message.failed ?? current.failed ?? 0)),\n    updatedAt: Date.now(),\n    completedAt: message.status === 'completed' ? Date.now() : current.completedAt || null\n  };\n  nextWorkflow.tasks = tasks;\n  await storage.set({ workflow: nextWorkflow });\n  return tasks[targetIndex];\n}\n\nasync function retryFailedTask(runId) {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  if (run.status === 'success') throw new Error('该岗位已经投递成功，不会重复投递');\n  if (workflow.running && (workflow.activeRunId === run.id || workflow.pendingApplyId === run.pendingId)) {\n    throw new Error('该失败任务正在重试，请等待当前结果');\n  }\n  if (Number(run.retryRequestedAt || 0) > Date.now() - 15000) {\n    throw new Error('该任务刚刚提交过重试，请稍后查看结果');\n  }\n  let item = pending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n  if (!item && run.job && run.analysis) {\n    item = {\n      id: crypto.randomUUID(),\n      runId: run.id,\n      job: run.job,\n      analysis: run.analysis,\n      deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n      task: run.searchTask || {},\n      status: 'approved',\n      createdAt: Date.now(),\n      approvedAt: Date.now()\n    };\n  }\n  if (!item) throw new Error('该历史任务缺少岗位或招呼语信息，无法直接重试');\n  if (item.status === 'sent') throw new Error('该岗位已经投递成功，不会重复投递');\n  item = {\n    ...item,\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: 'approved', error: '', approvedAt: Date.now(), runId: run.id\n  };\n  const nextPending = pending.some(entry => entry.id === item.id)\n    ? pending.map(entry => entry.id === item.id ? item : entry)\n    : [item, ...pending];\n  await storage.set({ pending: rerankPending(nextPending) });\n  await upsertTaskRun({\n    id: run.id,\n    pendingId: item.id,\n    job: item.job,\n    analysis: item.analysis,\n    searchTask: item.task,\n    status: 'running',\n    stage: 'retry_queued',\n    progress: 66,\n    stageLabel: '等待重新投递',\n    error: '',\n    retryable: true,\n    retryCount: Number(run.retryCount || 0) + 1,\n    retryRequestedAt: Date.now(),\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `正在重新投递：${item.job?.title || '岗位'}`,\n    pendingApplyId: item.id,\n    activeRunId: run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n    setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  } catch (error) {\n    await upsertTaskRun({ id: run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '重新投递启动失败', error: error.message, retryable: true });\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '重新投递启动失败' });\n    throw error;\n  }\n  return { runId: run.id, pendingId: item.id };\n}\n\nasync function retryAllFailedTasks() {\n  const { taskRuns = [], pending = [], workflow = {} } = await storage.get(['taskRuns', 'pending', 'workflow']);\n  if (workflow.running && workflow.activeRunId) {\n    throw new Error('当前已有投递任务正在执行，请等待完成后再批量重试');\n  }\n  const failedRuns = taskRuns.filter(run => run.status === 'failed'\n    && run.retryable !== false\n    && Number(run.retryRequestedAt || 0) <= Date.now() - 15000);\n  if (!failedRuns.length) return { count: 0 };\n  const nextPending = [...pending];\n  const queue = [];\n  for (const run of failedRuns) {\n    if (run.status === 'success') continue;\n    let item = nextPending.find(entry => entry.id === run.pendingId || entry.runId === run.id);\n    if (!item && run.job && run.analysis) {\n      item = {\n        id: crypto.randomUUID(), runId: run.id, job: run.job, analysis: run.analysis,\n        deliveryGreeting: String(run.analysis?.greeting || '').trim(),\n        task: run.searchTask || {}, createdAt: Date.now()\n      };\n      nextPending.unshift(item);\n    }\n    if (!item || item.status === 'sent') continue;\n    item.deliveryGreeting = String(item.deliveryGreeting || item.analysis?.greeting || '').trim();\n    item.status = queue.length ? 'approved_queue' : 'approved';\n    item.approvedAt = Date.now();\n    item.error = '';\n    const pendingIndex = nextPending.findIndex(entry => entry.id === item.id);\n    if (pendingIndex >= 0) nextPending[pendingIndex] = { ...item };\n    queue.push({ run, item });\n  }\n  if (!queue.length) return { count: 0 };\n  await storage.set({ pending: rerankPending(nextPending) });\n  for (const [index, entry] of queue.entries()) {\n    await upsertTaskRun({\n      id: entry.run.id,\n      pendingId: entry.item.id,\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'retry_queued',\n      progress: 66,\n      stageLabel: index === 0 ? '正在重新投递' : '等待重新投递',\n      error: '',\n      retryable: true,\n      retryCount: Number(entry.run.retryCount || 0) + 1,\n      retryRequestedAt: Date.now(),\n      completedAt: null\n    });\n  }\n  const first = queue[0];\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `重新投递 1/${queue.length}：${first.item.job?.title || '岗位'}`,\n    pendingApplyId: first.item.id,\n    activeRunId: first.run.id\n  });\n  try {\n    await sendToBoss({ type: 'RUN' });\n  } catch (error) {\n    for (const entry of queue) {\n      await upsertTaskRun({ id: entry.run.id, status: 'failed', stage: 'failed', progress: 100, stageLabel: '批量重试启动失败', error: error.message, retryable: true });\n    }\n    await patchWorkflow({ running: false, paused: true, phase: 'idle', pendingApplyId: null, activeRunId: null, statusText: '批量重试启动失败' });\n    throw error;\n  }\n  return { count: queue.length };\n}\n\nasync function ignoreFailedTask(runId) {\n  const { taskRuns = [], pending = [] } = await storage.get(['taskRuns', 'pending']);\n  const run = taskRuns.find(entry => entry.id === runId);\n  if (!run) throw new Error('失败任务不存在');\n  const nextPending = pending.map(entry => entry.id === run.pendingId || entry.runId === run.id\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: nextPending });\n  return upsertTaskRun({ id: run.id, status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\nconst BOSS_URL_PATTERN = /^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i;\nconst NO_RECEIVER_PATTERN = /Could not establish connection|Receiving end does not exist|message port closed|No tab with id/i;\nconst wait = ms => new Promise(resolve => setTimeout(resolve, ms));\n\nfunction receiverMatchesExpectedVersion(probe) {\n  return Boolean(probe?.ok && probe.contentVersion === EXPECTED_CONTENT_VERSION && probe.contentFile === CONTENT_SCRIPT_FILE);\n}\n\nasync function waitForTabReady(tabId, timeout = 16000) {\n  if (!chrome.tabs?.get) {\n    await wait(900);\n    return null;\n  }\n  const startedAt = Date.now();\n  while (Date.now() - startedAt < timeout) {\n    const tab = await chrome.tabs.get(tabId).catch(() => null);\n    if (tab?.status === 'complete') return tab;\n    await wait(180);\n  }\n  return chrome.tabs.get(tabId).catch(() => null);\n}\n\nasync function reloadBossTab(tab, reason = 'runtime-refresh') {\n  if (!tab?.id || !chrome.tabs?.reload) return tab;\n  await chrome.tabs.reload(tab.id, { bypassCache: true });\n  const ready = await waitForTabReady(tab.id);\n  await writeEvent('info', 'BOSS 页面助手已自动刷新', { reason, tabId: tab.id, contentVersion: EXPECTED_CONTENT_VERSION }).catch(() => {});\n  return ready || tab;\n}\n\nasync function refreshBossTabsForRuntimeVersion() {\n  const key = 'bossContentRuntimeVersion';\n  const current = await storage.get(key);\n  if (current?.[key] === EXPECTED_CONTENT_VERSION) return;\n  await storage.set({ [key]: EXPECTED_CONTENT_VERSION });\n  if (!chrome.tabs?.query || !chrome.tabs?.reload) return;\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] }).catch(() => []);\n  for (const tab of tabs || []) {\n    if (!tab?.id) continue;\n    await chrome.tabs.reload(tab.id, { bypassCache: true }).catch(() => {});\n  }\n}\n\nasync function activeBossTab() {\n  const tabs = await chrome.tabs.query({ url: ['https://www.zhipin.com/*', 'https://app.zhipin.com/*'] });\n  return tabs.find(tab => tab.active) || tabs[0] || null;\n}\n\nfunction bossConnectionError(error) {\n  const message = String(error?.message || error || '');\n  if (NO_RECEIVER_PATTERN.test(message)) {\n    return 'BOSS 页面连接尚未就绪，JobClaw 已尝试自动修复。请刷新当前 BOSS 页面后再点一次开始。';\n  }\n  if (/Cannot access contents of url|The extensions gallery cannot be scripted|Missing host permission/i.test(message)) {\n    return '当前页面无法接入 JobClaw。请确认打开的是 BOSS 直聘岗位页或沟通页。';\n  }\n  return message || 'BOSS 页面连接失败';\n}\n\nasync function probeBossReceiver(tab) {\n  return chrome.tabs.sendMessage(tab.id, { type: 'PROBE', expectedContentVersion: EXPECTED_CONTENT_VERSION });\n}\n\nasync function injectBossContent(tab) {\n  if (!chrome.scripting?.executeScript) throw new Error('扩展缺少页面注入能力，请重新加载最新版 JobClaw');\n  await chrome.scripting.executeScript({\n    target: { tabId: tab.id },\n    files: [CONTENT_SCRIPT_FILE]\n  });\n}\n\nasync function ensureBossReceiver(tab) {\n  if (!tab?.id) throw new Error('请先打开并登录 BOSS 直聘');\n  if (!BOSS_URL_PATTERN.test(String(tab.url || ''))) {\n    throw new Error('请切换到 BOSS 直聘岗位页或沟通页');\n  }\n\n  let probe = null;\n  try {\n    probe = await probeBossReceiver(tab);\n    if (receiverMatchesExpectedVersion(probe)) return probe;\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n  }\n\n  // 能收到响应但版本不一致，说明当前标签页仍保留旧内容脚本。必须整页刷新，\n  // 不能继续在同一页面叠加注入，否则旧 RUN 监听器仍可能执行。\n  if (probe?.ok && !receiverMatchesExpectedVersion(probe)) {\n    tab = await reloadBossTab(tab, `stale-${probe.contentVersion || 'legacy'}`);\n  }\n\n  for (let attempt = 0; attempt < 5; attempt += 1) {\n    await wait(180 + attempt * 140);\n    try {\n      const currentProbe = await probeBossReceiver(tab);\n      if (receiverMatchesExpectedVersion(currentProbe)) return currentProbe;\n      if (currentProbe?.ok && !receiverMatchesExpectedVersion(currentProbe) && attempt === 0) {\n        tab = await reloadBossTab(tab, `mismatch-${currentProbe.contentVersion || 'legacy'}`);\n      }\n    } catch (error) {\n      if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n        throw new Error(bossConnectionError(error));\n      }\n      if (attempt === 1) {\n        try { await injectBossContent(tab); } catch (injectError) { throw new Error(bossConnectionError(injectError)); }\n      }\n    }\n  }\n  throw new Error(`BOSS 页面助手版本未就绪（需要 ${EXPECTED_CONTENT_VERSION}）。JobClaw 已自动刷新页面，请再点一次开始。`);\n}\n\nasync function sendToBossTab(tab, message) {\n  await ensureBossReceiver(tab);\n  try {\n    return await chrome.tabs.sendMessage(tab.id, message);\n  } catch (error) {\n    if (!NO_RECEIVER_PATTERN.test(String(error?.message || error))) {\n      throw new Error(bossConnectionError(error));\n    }\n    tab = await reloadBossTab(tab, 'message-receiver-lost');\n    await ensureBossReceiver(tab);\n    try {\n      return await chrome.tabs.sendMessage(tab.id, message);\n    } catch (retryError) {\n      throw new Error(bossConnectionError(retryError));\n    }\n  }\n}\n\nasync function sendToBoss(message) {\n  const tab = await activeBossTab();\n  if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n  return sendToBossTab(tab, message);\n}\n\nasync function nativeBridge(path, body) {\n  if (!chrome.runtime?.sendNativeMessage) throw new Error('当前 Chrome 不支持 Native Messaging');\n  const response = await chrome.runtime.sendNativeMessage(NATIVE_BRIDGE_HOST, { path, body: body ?? null });\n  if (!response || response.ok === false) throw new Error(response?.error || '本地桥接没有返回结果');\n  const payload = response.payload && typeof response.payload === 'object' ? response.payload : response;\n  return { ...payload, _transport: 'native' };\n}\n\nasync function bridge(path, body) {\n  const failures = [];\n  const timeoutMs = path === '/parse-resume' ? 190000 : path === '/company/verify' ? 3500 : path === '/status' ? 3000 : 8000;\n  for (const base of BRIDGE_ENDPOINTS) {\n    const controller = new AbortController();\n    const timeout = setTimeout(() => controller.abort(), timeoutMs);\n    try {\n      const response = await fetch(`${base}${path}`, {\n        method: body ? 'POST' : 'GET',\n        headers: { 'Content-Type': 'application/json' },\n        body: body ? JSON.stringify(body) : undefined,\n        cache: 'no-store',\n        credentials: 'omit',\n        signal: controller.signal\n      });\n      const payload = await response.json().catch(() => ({}));\n      if (!response.ok) throw new Error(payload.error || `本地桥接返回 HTTP ${response.status}`);\n      bridgeUnavailableUntil = 0;\n      bridgeLastError = '';\n      return { ...payload, _transport: 'http', _endpoint: base };\n    } catch (error) {\n      failures.push(`${base} ${error?.name === 'AbortError' ? '连接超时' : String(error?.message || error)}`);\n    } finally {\n      clearTimeout(timeout);\n    }\n  }\n  try {\n    const payload = await nativeBridge(path, body);\n    bridgeUnavailableUntil = 0;\n    bridgeLastError = '';\n    return payload;\n  } catch (error) {\n    failures.push(`Native Messaging ${String(error?.message || error)}`);\n    bridgeLastError = String(error?.message || error);\n    if (path === '/company/verify') bridgeUnavailableUntil = Date.now() + 5 * 60 * 1000;\n  }\n  throw new Error(`OpenClaw 桌面桥接未连接。请双击“安装桌面桥接-mac.command”完成安装或修复。${failures.length ? ` 诊断：${failures.join('；')}` : ''}`);\n}\n\nasync function diagnoseBridge() {\n  const attempts = [];\n  for (const base of BRIDGE_ENDPOINTS) {\n    const startedAt = Date.now();\n    const controller = new AbortController();\n    const timer = setTimeout(() => controller.abort(), 2500);\n    try {\n      const response = await fetch(`${base}/status`, { cache: 'no-store', credentials: 'omit', signal: controller.signal });\n      const payload = await response.json().catch(() => ({}));\n      attempts.push({ transport: 'http', endpoint: base, ok: response.ok, elapsedMs: Date.now() - startedAt, status: response.status, payload });\n      if (response.ok) return { ok: true, transport: 'http', runtimeId: chrome.runtime.id, attempts, status: payload };\n    } catch (error) {\n      attempts.push({ transport: 'http', endpoint: base, ok: false, elapsedMs: Date.now() - startedAt, error: error?.name === 'AbortError' ? '连接超时' : String(error?.message || error) });\n    } finally {\n      clearTimeout(timer);\n    }\n  }\n  try {\n    const status = await nativeBridge('/status');\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: true });\n    return { ok: true, transport: 'native', runtimeId: chrome.runtime.id, attempts, status };\n  } catch (error) {\n    attempts.push({ transport: 'native', host: NATIVE_BRIDGE_HOST, ok: false, error: String(error?.message || error) });\n  }\n  return {\n    ok: false,\n    runtimeId: chrome.runtime.id,\n    expectedRuntimeId: 'dkfilgjiooigjbollljdionbnnofekkh',\n    attempts,\n    fix: '退出旧桥接后 双击项目根目录的“安装桌面桥接-mac.command” 安装完成后回到扩展点击检测连接',\n    logPaths: ['~/.jobclaw/bridge.log', '~/.jobclaw/bridge-error.log']\n  };\n}\n\nfunction bridgeSnapshot(all = {}) {\n  const config = all.config || {};\n  const pending = Array.isArray(all.pending) ? all.pending : [];\n  const taskRuns = Array.isArray(all.taskRuns) ? all.taskRuns : [];\n  return {\n    ts: Date.now(),\n    stats: { ...(all.stats || {}) },\n    workflow: {\n      running: Boolean(all.workflow?.running),\n      paused: Boolean(all.workflow?.paused),\n      phase: String(all.workflow?.phase || 'idle'),\n      statusText: String(all.workflow?.statusText || '')\n    },\n    queue: {\n      waiting: pending.filter(item => ['pending', 'approved_queue', 'approved'].includes(item.status)).length,\n      sent: pending.filter(item => item.status === 'sent').length,\n      failed: pending.filter(item => item.status === 'failed').length\n    },\n    recentRuns: taskRuns.filter(() => true).slice(0, 30).map(run => ({\n      status: run.status,\n      stageLabel: run.stageLabel,\n      job: run.job ? { title: run.job.title || '', company: run.job.company || '' } : null,\n      updatedAt: run.updatedAt || run.completedAt || run.createdAt || 0\n    })),\n    config: {\n      batchStrategy: normalizeStrategy(config.batchStrategy),\n      massApplyAnalysis: config.massApplyAnalysis || 'fast',\n      pacingPreset: config.pacingPreset || 'standard',\n      dailyTarget: Number(config.dailyTarget || 30),\n      dailyReportEnabled: config.dailyReportEnabled !== false,\n      dailyReportTime: String(config.dailyReportTime || '20:30'),\n      dailyReportNotification: config.dailyReportNotification !== false\n    }\n  };\n}\n\nasync function syncBridgeSnapshot(force = false) {\n  if (!force && Date.now() - lastBridgeSnapshotAt < 55 * 1000) return { skipped: true };\n  lastBridgeSnapshotAt = Date.now();\n  const snapshot = bridgeSnapshot(await storage.all());\n  return bridge('/sync', { snapshot });\n}\n\nasync function enforceRateLimit(scope = 'discovery') {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const now = Date.now();\n  const decision = computeRateLimitDecision(config, safetyState, scope, now);\n  if (!decision.allowed) {\n    await patchWorkflow({ running: false, paused: true, statusText: decision.reason || '安全熔断已开启' });\n    return { ok: false, ...decision };\n  }\n  const reservedAt = now + Number(decision.waitMs || 0);\n  const nextState = recordRateAction(safetyState, scope, reservedAt, Number(decision.waitMs || 0) > 0);\n  await storage.set({ safetyState: nextState });\n  return { ok: true, ...decision, reservedAt };\n}\n\nasync function applySafetyOutcome(outcome = {}) {\n  const { config = {}, safetyState = {} } = await storage.get(['config', 'safetyState']);\n  const next = recordSafetyOutcome(config, safetyState, outcome);\n  await storage.set({ safetyState: next });\n  if (next.circuitOpen) {\n    await patchWorkflow({\n      running: false,\n      paused: true,\n      phase: 'safety_stop',\n      pendingApplyId: null,\n      statusText: `安全熔断：${next.circuitReason || '连续任务失败'}`\n    });\n    await writeEvent('warning', '安全熔断已开启', { reason: next.circuitReason, failures: next.consecutiveFailures });\n    chrome.notifications.create(`jobclaw-safety-${Date.now()}`, {\n      type: 'basic',\n      iconUrl: 'icon128.png',\n      title: 'JobClaw 已安全暂停',\n      message: next.circuitReason || '连续任务失败，请检查页面后手动恢复'\n    }).catch(() => {});\n  }\n  return next;\n}\n\nasync function clearSafetyCircuit() {\n  const { safetyState = {} } = await storage.get('safetyState');\n  const next = resetSafetyCircuit(safetyState);\n  await storage.set({ safetyState: next });\n  await writeEvent('info', '安全熔断已重置');\n  return next;\n}\n\nasync function verifyCompanyForJob(job = {}, force = false) {\n  const { config = {}, companyVerificationCache = {} } = await storage.get(['config', 'companyVerificationCache']);\n  const fallback = heuristicCompanyVerification(job);\n  if (config.companyVerificationEnabled === false) {\n    return { ...fallback, provider: 'disabled', status: 'disabled', verified: false, riskLevel: fallback.riskLevel === 'high' ? 'high' : 'unknown' };\n  }\n  const key = companyCacheKey(job.company);\n  const cached = companyVerificationCache[key];\n  if (!force && cached && !companyVerificationExpired(cached, config.companyVerificationCacheDays || 14)) {\n    return { ...cached, cacheHit: true };\n  }\n  let providerResult = null;\n  if (config.companyVerificationProvider !== 'local' && Date.now() < bridgeUnavailableUntil) {\n    providerResult = {\n      provider: 'bridge-cooldown',\n      status: 'unavailable',\n      verified: false,\n      riskLevel: 'unknown',\n      confidence: 0,\n      signals: [`OpenClaw暂不可用 已在本地快速降级 ${bridgeLastError || ''}`.trim()],\n      evidence: [],\n      checkedAt: Date.now()\n    };\n  }\n  if (config.companyVerificationProvider !== 'local' && !providerResult) {\n    const throttle = await enforceRateLimit('company');\n    if (throttle.ok && throttle.waitMs) await wait(throttle.waitMs);\n    try {\n      const response = await bridge('/company/verify', {\n        provider: config.companyVerificationProvider || 'bridge',\n        companyName: job.company || '',\n        job: {\n          title: job.title || '',\n          company: job.company || '',\n          location: job.location || '',\n          description: job.description || job.cardText || '',\n          url: job.url || ''\n        }\n      });\n      providerResult = response?.result || response;\n    } catch (error) {\n      providerResult = {\n        provider: 'bridge-unavailable',\n        status: 'unavailable',\n        verified: false,\n        riskLevel: 'unknown',\n        confidence: 0,\n        signals: [`企业数据源暂不可用：${error.message}`],\n        evidence: []\n      };\n    }\n  }\n  const merged = mergeCompanyVerification(providerResult || {}, fallback);\n  const nextCache = { ...companyVerificationCache, [key]: merged };\n  const entries = Object.entries(nextCache).sort((a, b) => Number(b[1]?.checkedAt || 0) - Number(a[1]?.checkedAt || 0)).slice(0, 500);\n  await storage.set({ companyVerificationCache: Object.fromEntries(entries) });\n  return { ...merged, cacheHit: false };\n}\n\nasync function preflightJob(job = {}) {\n  const { config = {}, pending = [], deliveryHistory = [] } = await storage.get(['config', 'pending', 'deliveryHistory']);\n  const duplicate = findDuplicate(job, {\n    pending,\n    history: deliveryHistory,\n    maxPerCompanyPerDay: config.maxPerCompanyPerDay || 2,\n    date: today()\n  });\n  if (duplicate.duplicate) {\n    await changeStats({ duplicates: 1, blocked: 1 });\n    return { ok: true, blocked: true, category: 'duplicate', reason: duplicate.reason, duplicate };\n  }\n  const company = await verifyCompanyForJob(job);\n  const blockUnknown = Boolean(config.blockUnknownCompanies);\n  const blocked = company.riskLevel === 'high' || (blockUnknown && company.riskLevel === 'unknown');\n  await changeStats(blocked ? { blocked: 1 } : company.verified ? { verified: 1 } : {});\n  return {\n    ok: true,\n    blocked,\n    category: blocked ? 'company-risk' : 'accepted',\n    reason: blocked ? (company.signals?.[0] || '企业核验未通过') : '',\n    company,\n    duplicate\n  };\n}\n\nasync function checkForUpdates(force = false) {\n  const currentVersion = chrome.runtime.getManifest().version;\n  const { config = {}, updateInfo = {} } = await storage.get(['config', 'updateInfo']);\n  if (config.updateCheckEnabled === false && !force) return updateInfo;\n  if (!force && Number(updateInfo.checkedAt || 0) && Date.now() - Number(updateInfo.checkedAt) < 6 * 60 * 60 * 1000) return updateInfo;\n  try {\n    const response = await fetch('https://api.github.com/repos/Chrisbetheking/job-claw/releases/latest', {\n      headers: { Accept: 'application/vnd.github+json' },\n      cache: 'no-store',\n      credentials: 'omit'\n    });\n    if (response.status === 404) {\n      const next = { ...DEFAULTS.updateInfo, currentVersion, checkedAt: Date.now(), error: '仓库暂未发布正式 Release' };\n      await storage.set({ updateInfo: next });\n      return next;\n    }\n    if (!response.ok) throw new Error(`GitHub Release HTTP ${response.status}`);\n    const next = normalizeRelease(await response.json(), currentVersion);\n    const wasAvailable = Boolean(updateInfo.available && updateInfo.latestVersion === next.latestVersion);\n    await storage.set({ updateInfo: next });\n    if (next.available && !wasAvailable) {\n      chrome.notifications.create(`jobclaw-update-${next.latestVersion}`, {\n        type: 'basic',\n        iconUrl: 'icon128.png',\n        title: `JobClaw ${next.latestVersion} 可更新`,\n        message: next.name || '发现新的正式版本'\n      }).catch(() => {});\n    }\n    return next;\n  } catch (error) {\n    const next = { ...updateInfo, currentVersion, checkedAt: Date.now(), error: error.message || '更新检查失败' };\n    await storage.set({ updateInfo: next });\n    return next;\n  }\n}\n\nfunction extractJson(raw) {\n  let text = String(raw || '').trim()\n    .replace(/^```(?:json)?/i, '')\n    .replace(/```$/i, '')\n    .trim();\n  const start = text.indexOf('{');\n  const end = text.lastIndexOf('}');\n  if (start >= 0 && end > start) text = text.slice(start, end + 1);\n  text = text.replace(/,\\s*([}\\]])/g, '$1');\n  return JSON.parse(text);\n}\n\nfunction aiError(code, message, details = {}) {\n  const error = new Error(message);\n  error.code = code;\n  Object.assign(error, details);\n  return error;\n}\n\nfunction aiFailureKind(error) {\n  const code = String(error?.code || '');\n  const message = String(error?.message || '');\n  if (code === 'AI_CONFIG' || /API Key|未配置|401|unauthorized/i.test(message)) return 'config-missing';\n  if (['AI_NETWORK', 'AI_HTTP', 'AI_TIMEOUT'].includes(code) || /HTTP|fetch|网络|超时|服务不可用/i.test(message)) return 'service-error';\n  return 'output-invalid';\n}\n\nfunction isRetryableAiOutputError(error) {\n  return ['AI_TRUNCATED', 'AI_EMPTY', 'AI_INVALID_JSON', 'AI_PROFILE_INCOMPLETE'].includes(String(error?.code || ''));\n}\n\nasync function requestModel(url, payload, apiKey, timeoutMs = 90000) {\n  const controller = new AbortController();\n  const timer = setTimeout(() => controller.abort(), timeoutMs);\n  try {\n    return await fetch(url, {\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/json',\n        Authorization: `Bearer ${apiKey}`\n      },\n      body: JSON.stringify(payload),\n      signal: controller.signal\n    });\n  } catch (error) {\n    if (error?.name === 'AbortError') throw aiError('AI_TIMEOUT', 'AI 请求超时');\n    throw aiError('AI_NETWORK', `AI 网络请求失败：${error?.message || '连接异常'}`);\n  } finally {\n    clearTimeout(timer);\n  }\n}\n\nasync function callModel(messages, jsonMode = true, options = {}) {\n  const { config } = await storage.get('config');\n  const model = config?.model || {};\n  if (!model.apiKey) throw aiError('AI_CONFIG', '请先在设置页填写 AI API Key');\n  const url = `${String(model.baseUrl || 'https://api.deepseek.com').replace(/\\/$/, '')}/chat/completions`;\n  const payload = {\n    model: model.model || 'deepseek-v4-pro',\n    messages,\n    temperature: Number(options.temperature ?? model.temperature ?? 0.1),\n    max_tokens: Number(options.maxTokens ?? 2800)\n  };\n  if (jsonMode) payload.response_format = { type: 'json_object' };\n\n  let response = await requestModel(url, payload, model.apiKey, Number(options.timeoutMs || 90000));\n  let bodyText = await response.text();\n\n  // 某些兼容网关不支持 response_format，但仍能正常返回 JSON 文本。\n  if (!response.ok && jsonMode && [400, 404, 422].includes(response.status) && /response[_ -]?format|json_object|unsupported/i.test(bodyText)) {\n    const retryPayload = { ...payload };\n    delete retryPayload.response_format;\n    response = await requestModel(url, retryPayload, model.apiKey, Number(options.timeoutMs || 90000));\n    bodyText = await response.text();\n  }\n\n  if (!response.ok) {\n    throw aiError('AI_HTTP', `AI 请求失败 HTTP ${response.status}: ${bodyText.substring(0, 500)}`, { status: response.status });\n  }\n\n  let result;\n  try {\n    result = JSON.parse(bodyText);\n  } catch {\n    throw aiError('AI_INVALID_RESPONSE', 'AI 接口返回了无法识别的响应');\n  }\n  const choice = result.choices?.[0];\n  const content = String(choice?.message?.content || '').trim();\n  if (!content) throw aiError('AI_EMPTY', 'AI 返回为空');\n  if (choice.finish_reason === 'length') {\n    throw aiError('AI_TRUNCATED', 'AI 输出被截断', { finishReason: choice.finish_reason, partial: content });\n  }\n  if (!jsonMode) return content;\n  try {\n    return extractJson(content);\n  } catch (error) {\n    throw aiError('AI_INVALID_JSON', `AI 返回 JSON 不完整：${error?.message || '解析失败'}`, { partial: content });\n  }\n}\n\nfunction cleanResumeText(value) {\n  return String(value || '')\n    .replace(/\\r/g, '\\n')\n    .replace(/[\\u0000-\\u0008\\u000B\\u000C\\u000E-\\u001F]/g, ' ')\n    .replace(/[ \\t]+/g, ' ')\n    .replace(/\\n{3,}/g, '\\n\\n')\n    .trim();\n}\n\nfunction lineMatches(text, pattern, limit = 6) {\n  return uniq(cleanResumeText(text)\n    .split('\\n')\n    .map(line => line.trim())\n    .filter(line => line.length >= 4 && line.length <= 180 && pattern.test(line)))\n    .slice(0, limit);\n}\n\nfunction extractSkills(text) {\n  const source = cleanResumeText(text);\n  const catalog = [\n    ['JavaScript', /\\bjavascript\\b|\\bjs\\b/i],\n    ['TypeScript', /\\btypescript\\b|\\bts\\b/i],\n    ['HTML', /\\bhtml5?\\b/i],\n    ['CSS', /\\bcss3?\\b|sass|less/i],\n    ['Vue', /\\bvue(?:\\.js|3|2)?\\b/i],\n    ['React', /\\breact(?:\\.js)?\\b/i],\n    ['Next.js', /\\bnext\\.?js\\b/i],\n    ['Node.js', /\\bnode\\.?js\\b/i],\n    ['Express', /\\bexpress\\b/i],\n    ['Vite', /\\bvite\\b/i],\n    ['Webpack', /\\bwebpack\\b/i],\n    ['Tailwind CSS', /\\btailwind\\b/i],\n    ['ECharts', /\\becharts\\b/i],\n    ['D3.js', /\\bd3(?:\\.js)?\\b/i],\n    ['Tauri', /\\btauri\\b/i],\n    ['Electron', /\\belectron\\b/i],\n    ['Chrome Extension', /chrome\\s*(?:extension|扩展)|浏览器扩展/i],\n    ['Python', /\\bpython\\b/i],\n    ['Java', /\\bjava\\b/i],\n    ['C/C++', /\\bc\\+\\+\\b|\\bc语言\\b/i],\n    ['Go', /\\bgolang\\b|\\bgo语言\\b/i],\n    ['SQL', /\\bsql\\b/i],\n    ['MySQL', /\\bmysql\\b/i],\n    ['PostgreSQL', /\\bpostgres(?:ql)?\\b/i],\n    ['Redis', /\\bredis\\b/i],\n    ['Spring Boot', /spring\\s*boot/i],\n    ['Flask', /\\bflask\\b/i],\n    ['Django', /\\bdjango\\b/i],\n    ['FastAPI', /\\bfastapi\\b/i],\n    ['Git', /\\bgit\\b|github/i],\n    ['Docker', /\\bdocker\\b/i],\n    ['Linux', /\\blinux\\b/i],\n    ['Playwright', /\\bplaywright\\b/i],\n    ['Selenium', /\\bselenium\\b/i],\n    ['PyTorch', /\\bpytorch\\b/i],\n    ['TensorFlow', /\\btensorflow\\b/i],\n    ['OpenCV', /\\bopencv\\b/i],\n    ['RAG', /\\brag\\b|检索增强生成/i],\n    ['LLM', /\\bllm\\b|大语言模型|语言模型/i],\n    ['AI Agent', /ai\\s*agent|智能体/i],\n    ['OCR', /\\bocr\\b|文字识别/i],\n    ['数据可视化', /数据可视化|可视化看板/i]\n  ];\n  return catalog.filter(([, pattern]) => pattern.test(source)).map(([name]) => name).slice(0, 40);\n}\n\nfunction extractDegree(text) {\n  const source = cleanResumeText(text);\n  if (/博士|ph\\.?d/i.test(source)) return '博士';\n  if (/硕士|研究生|master/i.test(source)) return '硕士';\n  if (/本科|学士|bachelor/i.test(source)) return '本科';\n  if (/大专|专科|associate/i.test(source)) return '大专';\n  return '不限';\n}\n\nfunction extractLocations(text) {\n  const source = cleanResumeText(text);\n  const cities = ['北京','上海','广州','深圳','杭州','成都','西安','南京','武汉','苏州','重庆','天津','长沙','郑州','青岛','厦门','合肥','济南','宁波','东莞','珠海','佛山','无锡','兰州','太原','南阳','东京','大阪'];\n  return cities.filter(city => source.includes(city)).slice(0, 6);\n}\n\nfunction extractExplicitDirections(text) {\n  const source = cleanResumeText(text);\n  const matches = [];\n  const pattern = /(?:求职意向|求职方向|目标岗位|意向岗位|应聘岗位|期望职位)\\s*[:：]?\\s*([^\\n]{2,100})/ig;\n  let match;\n  while ((match = pattern.exec(source)) && matches.length < 3) {\n    matches.push(...String(match[1] || '').split(/[，,、/|]/).map(item => item.trim()).filter(item => item.length >= 2 && item.length <= 28));\n  }\n  return uniq(matches).slice(0, 3);\n}\n\nfunction inferDirections(text, skills) {\n  const source = cleanResumeText(text);\n  const explicit = extractExplicitDirections(source);\n  if (explicit.length) return explicit;\n  const directions = [];\n  const has = name => skills.includes(name);\n  const internship = /实习|在校|应届|校招/i.test(source);\n  if (/前端|web前端|网页开发/i.test(source) || ['JavaScript','TypeScript','Vue','React','HTML','CSS'].some(has)) {\n    directions.push(internship ? '前端开发实习生' : '前端开发工程师');\n  }\n  if (/全栈/i.test(source) || ((has('React') || has('Vue')) && (has('Node.js') || has('Java') || has('Python')))) {\n    directions.push(internship ? '全栈开发实习生' : '全栈开发工程师');\n  }\n  if (/ai应用|人工智能应用|智能体|rag|大模型|llm/i.test(source) || ['RAG','LLM','AI Agent'].some(has)) {\n    directions.push(internship ? 'AI 应用开发实习生' : 'AI 应用开发工程师');\n  }\n  if (/数据可视化|echarts|d3/i.test(source) || has('数据可视化') || has('ECharts') || has('D3.js')) {\n    directions.push('数据可视化开发工程师');\n  }\n  if (/后端|服务端/i.test(source) || ['Spring Boot','Java','Node.js','Python','Go'].filter(has).length >= 2) {\n    directions.push(internship ? '后端开发实习生' : '后端开发工程师');\n  }\n  if (!directions.length) directions.push(internship ? '软件开发实习生' : '软件开发工程师');\n  return uniq(directions).slice(0, 3);\n}\n\nfunction buildSearchKeywords(directions, skills) {\n  const keywords = [...directions];\n  const joined = directions.join(' ');\n  if (/前端/.test(joined)) {\n    keywords.push('前端开发', 'Web 前端', 'JavaScript 开发');\n    if (skills.includes('React')) keywords.push('React 开发');\n    if (skills.includes('Vue')) keywords.push('Vue 开发');\n    if (skills.includes('TypeScript')) keywords.push('TypeScript 前端');\n  }\n  if (/全栈/.test(joined)) keywords.push('全栈开发', 'Web 全栈');\n  if (/AI 应用/.test(joined)) {\n    keywords.push('AI 应用开发');\n    if (skills.includes('RAG')) keywords.push('RAG 应用开发');\n    if (skills.includes('AI Agent')) keywords.push('AI Agent 开发');\n  }\n  if (/数据可视化/.test(joined)) keywords.push('数据可视化', '可视化前端');\n  if (/后端/.test(joined)) keywords.push('后端开发', '服务端开发');\n  return uniq(keywords).slice(0, 12);\n}\n\nfunction explainProfileFallbackReason(reason = '', kind = '') {\n  const message = String(reason || '').trim();\n  const resolvedKind = kind || aiFailureKind({ message });\n  if (!message) return '';\n  if (resolvedKind === 'config-missing') {\n    return 'AI 尚未配置；本次未调用 AI，当前初稿全部来自本地规则。';\n  }\n  if (resolvedKind === 'service-error') {\n    return 'AI 请求没有成功；本次画像未使用 AI，当前初稿全部来自本地规则。';\n  }\n  return 'AI 连接可用，但返回内容未通过完整性校验；系统已自动精简重试，仍未成功，因此本次初稿全部来自本地规则。';\n}\n\nfunction validateGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  const directions = normalizeStringList(profile.primaryDirections, 3);\n  const keywords = normalizeStringList(profile.searchKeywords, 12);\n  const summary = String(profile.summary || '').trim();\n  if (!directions.length || !keywords.length || summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.facts || typeof profile.facts !== 'object' || Array.isArray(profile.facts)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  if (!profile.hardConstraints || typeof profile.hardConstraints !== 'object' || Array.isArray(profile.hardConstraints)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 画像字段不完整');\n  }\n  return profile;\n}\n\nfunction validateCompactGeneratedProfile(profile) {\n  if (!profile || typeof profile !== 'object' || Array.isArray(profile)) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  const normalized = {\n    summary: String(profile.summary || '').trim(),\n    primaryDirections: normalizeStringList(profile.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile.searchKeywords, 12),\n    skills: normalizeStringList(profile.skills, 30),\n    locations: normalizeStringList(profile.locations, 20),\n    employmentTypes: normalizeStringList(profile.employmentTypes, 10),\n    salary: String(profile.salary || '').trim(),\n    experience: String(profile.experience || '').trim(),\n    degree: String(profile.degree || '').trim(),\n    excludeDirections: normalizeStringList(profile.excludeDirections, 20)\n  };\n  if (!normalized.primaryDirections.length || !normalized.searchKeywords.length || normalized.summary.length < 12) {\n    throw aiError('AI_PROFILE_INCOMPLETE', 'AI 精简画像字段不完整');\n  }\n  return normalized;\n}\n\nfunction buildLocalProfile(resumeText, reason = '', failureKind = '') {\n  const text = cleanResumeText(resumeText);\n  if (text.length < 30) throw new Error('简历内容太少，暂时无法生成职业画像');\n  const skills = extractSkills(text);\n  const primaryDirections = inferDirections(text, skills);\n  const searchKeywords = buildSearchKeywords(primaryDirections, skills);\n  const degree = extractDegree(text);\n  const locations = extractLocations(text);\n  const internship = /实习|在校|应届|校招/i.test(text);\n  const employmentTypes = internship ? ['实习', '校招'] : ['全职'];\n  const experience = internship ? '在校/应届' : '按岗位要求匹配';\n  const topSkills = skills.slice(0, 7);\n  const summaryParts = [];\n  if (degree !== '不限') summaryParts.push(`${degree}${internship ? '在读或应届' : '背景'}`);\n  if (topSkills.length) summaryParts.push(`具备 ${topSkills.join('、')} 等技能或项目经验`);\n  summaryParts.push(`主要关注 ${primaryDirections.join('、')} 方向`);\n\n  const education = lineMatches(text, /大学|学院|本科|硕士|博士|教育经历|专业/i, 6);\n  const experiences = lineMatches(text, /实习|工作经历|公司|负责|任职|助理|工程师/i, 8);\n  const projects = lineMatches(text, /项目|系统|平台|工作台|GitHub|开发|实现|搭建|设计/i, 10);\n  const certificates = lineMatches(text, /证书|CET|英语六级|英语四级|资格|获奖|奖项/i, 6);\n  const resolvedKind = failureKind || (reason ? aiFailureKind({ message: reason }) : 'not-requested');\n\n  return normalizeProfile({\n    facts: { education, experiences, projects, skills, certificates },\n    primaryDirections: primaryDirections.map(name => ({ name, confidence: 0.72, evidence: ['根据简历中的技能、项目和求职阶段生成'] })),\n    secondaryDirections: [],\n    searchKeywords,\n    hardConstraints: {\n      locations,\n      employmentTypes,\n      salary: '不限',\n      experience,\n      degree\n    },\n    excludeDirections: [],\n    summary: `${summaryParts.join('，')}。`,\n    generation: {\n      mode: 'local-fallback',\n      label: '本地规则初稿',\n      aiStatus: resolvedKind,\n      warning: explainProfileFallbackReason(reason, resolvedKind),\n      technicalReason: String(reason || ''),\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction mergeProfileWithFallback(aiProfile, fallbackProfile, generation = null) {\n  const ai = aiProfile && typeof aiProfile === 'object' ? aiProfile : {};\n  const aiFacts = ai.facts && typeof ai.facts === 'object' ? ai.facts : {};\n  const fallbackFacts = fallbackProfile.facts || {};\n  const hard = ai.hardConstraints && typeof ai.hardConstraints === 'object' ? ai.hardConstraints : {};\n  const fallbackHard = fallbackProfile.hardConstraints || {};\n  return normalizeProfile({\n    ...fallbackProfile,\n    ...ai,\n    facts: {\n      ...fallbackFacts,\n      ...aiFacts,\n      education: Array.isArray(aiFacts.education) && aiFacts.education.length ? aiFacts.education : fallbackFacts.education,\n      experiences: Array.isArray(aiFacts.experiences) && aiFacts.experiences.length ? aiFacts.experiences : fallbackFacts.experiences,\n      projects: Array.isArray(aiFacts.projects) && aiFacts.projects.length ? aiFacts.projects : fallbackFacts.projects,\n      skills: normalizeStringList(aiFacts.skills).length ? aiFacts.skills : fallbackFacts.skills,\n      certificates: Array.isArray(aiFacts.certificates) && aiFacts.certificates.length ? aiFacts.certificates : fallbackFacts.certificates\n    },\n    primaryDirections: normalizeStringList(ai.primaryDirections, 3).length ? ai.primaryDirections : fallbackProfile.primaryDirections,\n    searchKeywords: normalizeStringList(ai.searchKeywords, 12).length ? ai.searchKeywords : fallbackProfile.searchKeywords,\n    hardConstraints: {\n      ...fallbackHard,\n      ...hard,\n      locations: normalizeStringList(hard.locations).length ? hard.locations : fallbackHard.locations,\n      employmentTypes: normalizeStringList(hard.employmentTypes).length ? hard.employmentTypes : fallbackHard.employmentTypes,\n      salary: String(hard.salary || fallbackHard.salary || '不限'),\n      experience: String(hard.experience || fallbackHard.experience || ''),\n      degree: String(hard.degree || fallbackHard.degree || '不限')\n    },\n    summary: String(ai.summary || fallbackProfile.summary),\n    generation: generation || {\n      mode: 'ai-assisted',\n      label: 'AI 完整画像',\n      aiStatus: 'success',\n      warning: 'AI 返回的完整 JSON 已通过校验；仅对可选空字段使用本地规则补齐。',\n      generatedAt: Date.now()\n    }\n  });\n}\n\nfunction compactProfileToFull(compact, fallback) {\n  return {\n    facts: {\n      ...(fallback.facts || {}),\n      skills: compact.skills.length ? compact.skills : fallback.facts?.skills || []\n    },\n    primaryDirections: compact.primaryDirections,\n    secondaryDirections: [],\n    searchKeywords: compact.searchKeywords,\n    hardConstraints: {\n      ...(fallback.hardConstraints || {}),\n      locations: compact.locations.length ? compact.locations : fallback.hardConstraints?.locations || [],\n      employmentTypes: compact.employmentTypes.length ? compact.employmentTypes : fallback.hardConstraints?.employmentTypes || [],\n      salary: compact.salary || fallback.hardConstraints?.salary || '不限',\n      experience: compact.experience || fallback.hardConstraints?.experience || '',\n      degree: compact.degree || fallback.hardConstraints?.degree || '不限'\n    },\n    excludeDirections: compact.excludeDirections,\n    summary: compact.summary\n  };\n}\n\nasync function buildProfile(resumeText) {\n  const text = cleanResumeText(resumeText);\n  const fallback = buildLocalProfile(text);\n  const schema = '{\"facts\":{\"education\":[],\"experiences\":[],\"projects\":[],\"skills\":[],\"certificates\":[]},\"primaryDirections\":[{\"name\":\"\",\"confidence\":0,\"evidence\":[]}],\"secondaryDirections\":[],\"searchKeywords\":[],\"hardConstraints\":{\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\"},\"excludeDirections\":[],\"summary\":\"\"}';\n  let firstError = null;\n  try {\n    const profile = validateGeneratedProfile(await callModel([\n      {\n        role: 'system',\n        content: `你是严格的职业画像分析器。只能使用简历真实事实，不能根据项目业务场景推断用户职业。主方向最多3个，搜索词必须是真实岗位名称。数组必须精简，教育/经历/项目各最多4条，每条不超过80字，技能最多15个，摘要不超过180字。即使信息不完整，也必须给出可编辑初稿，禁止返回空内容。输出严格 JSON：${schema}`\n      },\n      { role: 'user', content: text.slice(0, 22000) }\n    ], true, { maxTokens: 4200, temperature: 0.05 }));\n    return mergeProfileWithFallback(profile, fallback);\n  } catch (error) {\n    firstError = error;\n  }\n\n  // 连接正常但完整画像输出过长、JSON 不完整或字段校验失败时，自动改用精简结构重试。\n  if (isRetryableAiOutputError(firstError)) {\n    const compactSchema = '{\"summary\":\"\",\"primaryDirections\":[],\"searchKeywords\":[],\"skills\":[],\"locations\":[],\"employmentTypes\":[],\"salary\":\"\",\"experience\":\"\",\"degree\":\"\",\"excludeDirections\":[]}';\n    try {\n      const compact = validateCompactGeneratedProfile(await callModel([\n        {\n          role: 'system',\n          content: `你是求职职业画像分析器。只使用简历事实。请输出极简 JSON，不要解释，不要证据长句。摘要120字以内；主方向最多3个；搜索词最多10个；技能最多12个；其余字段简短。输出结构：${compactSchema}`\n        },\n        { role: 'user', content: text.slice(0, 18000) }\n      ], true, { maxTokens: 2200, temperature: 0.05 }));\n      return mergeProfileWithFallback(compactProfileToFull(compact, fallback), fallback, {\n        mode: 'ai-compact-retry',\n        label: 'AI 精简重试结果',\n        aiStatus: 'success-after-retry',\n        warning: 'AI 连接正常。首次完整画像输出未完成，系统已自动精简重试并成功采用 AI 结果。',\n        technicalReason: String(firstError?.message || ''),\n        generatedAt: Date.now()\n      });\n    } catch (retryError) {\n      const combined = `${firstError?.message || 'AI 首次输出未通过'}；精简重试：${retryError?.message || '失败'}`;\n      return buildLocalProfile(text, combined, aiFailureKind(firstError));\n    }\n  }\n\n  return buildLocalProfile(text, firstError?.message || 'AI 生成失败', aiFailureKind(firstError));\n}\n\n\nfunction normalizeStringList(value, limit = 30) {\n  const values = Array.isArray(value) ? value : String(value || '').split(/[，,\\n]/);\n  return uniq(values.map(item => typeof item === 'string' ? item.trim() : String(item?.name || item?.title || '').trim()))\n    .filter(Boolean)\n    .slice(0, limit);\n}\n\nfunction normalizeDirections(value, existing = []) {\n  const previous = new Map((Array.isArray(existing) ? existing : []).map(item => {\n    const name = typeof item === 'string' ? item : item?.name;\n    return [String(name || '').trim(), item];\n  }));\n  return normalizeStringList(value, 3).map(name => {\n    const old = previous.get(name);\n    if (old && typeof old === 'object') return { ...old, name };\n    return { name, confidence: 1, evidence: ['用户手动编辑'] };\n  });\n}\n\nfunction normalizeProfile(incoming, current = null) {\n  const base = current && typeof current === 'object' ? current : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const profile = {\n    ...base,\n    ...next,\n    facts: {\n      education: [], experiences: [], projects: [], skills: [], certificates: [],\n      ...(base.facts || {}),\n      ...(next.facts || {}),\n      skills: normalizeStringList(next.facts?.skills ?? base.facts?.skills, 40)\n    },\n    primaryDirections: normalizeDirections(next.primaryDirections ?? base.primaryDirections, base.primaryDirections),\n    secondaryDirections: normalizeStringList(next.secondaryDirections ?? base.secondaryDirections, 10),\n    searchKeywords: normalizeStringList(next.searchKeywords ?? base.searchKeywords, 12),\n    excludeDirections: normalizeStringList(next.excludeDirections ?? base.excludeDirections, 20),\n    hardConstraints: {\n      locations: [], employmentTypes: [], salary: '', experience: '', degree: '',\n      ...(base.hardConstraints || {}),\n      ...(next.hardConstraints || {})\n    },\n    summary: String(next.summary ?? base.summary ?? '').trim(),\n    editedAt: Date.now()\n  };\n  profile.hardConstraints.locations = normalizeStringList(profile.hardConstraints.locations, 20);\n  profile.hardConstraints.employmentTypes = normalizeStringList(profile.hardConstraints.employmentTypes, 10);\n  profile.hardConstraints.salary = String(profile.hardConstraints.salary || '').trim();\n  profile.hardConstraints.experience = String(profile.hardConstraints.experience || '').trim();\n  profile.hardConstraints.degree = String(profile.hardConstraints.degree || '').trim();\n  if (!profile.primaryDirections.length) throw new Error('职业画像至少需要一个主方向');\n  if (!profile.searchKeywords.length) throw new Error('职业画像至少需要一个岗位搜索词');\n  return profile;\n}\n\n\nfunction profileHasCore(profile) {\n  return Boolean(\n    normalizeStringList(profile?.primaryDirections, 3).length &&\n    normalizeStringList(profile?.searchKeywords, 12).length\n  );\n}\n\nfunction normalizeProfileDraft(incoming, fallback = null) {\n  const base = fallback && typeof fallback === 'object' ? fallback : {};\n  const next = incoming && typeof incoming === 'object' ? incoming : {};\n  const chooseList = (key, limit = 30) => Object.prototype.hasOwnProperty.call(next, key)\n    ? normalizeStringList(next[key], limit)\n    : normalizeStringList(base[key], limit);\n  const chooseText = key => Object.prototype.hasOwnProperty.call(next, key)\n    ? String(next[key] || '').trim()\n    : String(base[key] || '').trim();\n  return {\n    summary: chooseText('summary'),\n    primaryDirections: chooseList('primaryDirections', 3),\n    searchKeywords: chooseList('searchKeywords', 12),\n    skills: chooseList('skills', 40),\n    locations: chooseList('locations', 20),\n    employmentTypes: chooseList('employmentTypes', 10),\n    experience: chooseText('experience'),\n    degree: chooseText('degree'),\n    salary: chooseText('salary'),\n    excludeDirections: chooseList('excludeDirections', 20),\n    source: String(next.source || base.source || 'draft'),\n    updatedAt: Number(next.updatedAt || Date.now())\n  };\n}\n\nfunction profileDraftHasCore(draft) {\n  return Boolean(\n    normalizeStringList(draft?.primaryDirections, 3).length &&\n    normalizeStringList(draft?.searchKeywords, 12).length\n  );\n}\n\nfunction profileDraftHasAny(draft) {\n  if (!draft || typeof draft !== 'object') return false;\n  return Boolean(\n    String(draft.summary || '').trim() ||\n    normalizeStringList(draft.primaryDirections).length ||\n    normalizeStringList(draft.searchKeywords).length ||\n    normalizeStringList(draft.skills).length ||\n    normalizeStringList(draft.locations).length ||\n    normalizeStringList(draft.employmentTypes).length ||\n    String(draft.experience || '').trim() ||\n    String(draft.degree || '').trim() ||\n    String(draft.salary || '').trim() ||\n    normalizeStringList(draft.excludeDirections).length\n  );\n}\n\nfunction profileToDraft(profile, source = 'generated') {\n  const hard = profile?.hardConstraints || {};\n  return normalizeProfileDraft({\n    summary: profile?.summary || '',\n    primaryDirections: normalizeStringList(profile?.primaryDirections, 3),\n    searchKeywords: normalizeStringList(profile?.searchKeywords, 12),\n    skills: normalizeStringList(profile?.facts?.skills, 40),\n    locations: normalizeStringList(hard.locations, 20),\n    employmentTypes: normalizeStringList(hard.employmentTypes, 10),\n    experience: hard.experience || '',\n    degree: hard.degree || '',\n    salary: hard.salary || '',\n    excludeDirections: normalizeStringList(profile?.excludeDirections, 20),\n    source,\n    updatedAt: Date.now()\n  });\n}\n\nfunction profileFromDraft(draft, currentProfile = null) {\n  const normalized = normalizeProfileDraft(draft);\n  return normalizeProfile({\n    ...(currentProfile || {}),\n    summary: normalized.summary,\n    primaryDirections: normalized.primaryDirections,\n    searchKeywords: normalized.searchKeywords,\n    excludeDirections: normalized.excludeDirections,\n    facts: {\n      ...(currentProfile?.facts || {}),\n      skills: normalized.skills\n    },\n    hardConstraints: {\n      ...(currentProfile?.hardConstraints || {}),\n      locations: normalized.locations,\n      employmentTypes: normalized.employmentTypes,\n      experience: normalized.experience,\n      degree: normalized.degree,\n      salary: normalized.salary\n    }\n  }, currentProfile);\n}\n\n\nfunction clampNumber(value, min, max, fallback = min) {\n  const number = Number(value);\n  return Number.isFinite(number) ? Math.max(min, Math.min(max, number)) : fallback;\n}\n\nfunction normalizeDirectionKey(value) {\n  return String(value || '')\n    .toLowerCase()\n    .replace(/实习生|工程师|开发|岗位|职位|校招|社招|应届/g, '')\n    .replace(/[\\s,，/\\\\|·•()（）【】\\[\\]_-]+/g, '')\n    .trim();\n}\n\nfunction stableDirectionId(name, source = 'profile') {\n  const input = `${source}:${normalizeDirectionKey(name) || String(name || '').trim().toLowerCase()}`;\n  let hash = 2166136261;\n  for (let index = 0; index < input.length; index += 1) {\n    hash ^= input.charCodeAt(index);\n    hash = Math.imul(hash, 16777619);\n  }\n  return `direction_${(hash >>> 0).toString(36)}`;\n}\n\nconst DIRECTION_PRESETS = [\n  {\n    test: /前端|web|react|vue|javascript|typescript/i,\n    keywords: ['前端开发实习生', 'Web前端实习生', 'React开发实习生', 'Vue开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'HTML', 'CSS', 'React', 'Vue', 'Next.js', 'Vite', 'Webpack'],\n    gapSkills: ['工程化', '性能优化', '组件库']\n  },\n  {\n    test: /ai应用|人工智能应用|大模型|agent|rag|llm/i,\n    keywords: ['AI应用开发实习生', 'AI Agent实习生', 'RAG应用开发实习生', '大模型应用开发实习生'],\n    relevantSkills: ['AI Agent', 'RAG', 'Python', 'TypeScript', 'React', 'Node.js', 'OCR'],\n    gapSkills: ['Python', '模型评测', '向量数据库']\n  },\n  {\n    test: /全栈|full.?stack|前后端/i,\n    keywords: ['全栈开发实习生', 'Web全栈实习生', '前后端开发实习生'],\n    relevantSkills: ['JavaScript', 'TypeScript', 'React', 'Vue', 'Node.js', 'Express', 'MySQL'],\n    gapSkills: ['后端接口', '数据库', '部署运维']\n  },\n  {\n    test: /开发者工具|研发工具|桌面端|tauri|electron|工具开发/i,\n    keywords: ['开发者工具实习生', '研发工具开发实习生', '桌面端开发实习生', '平台工具开发实习生'],\n    relevantSkills: ['Tauri', 'Electron', 'TypeScript', 'React', 'Rust', 'Node.js', 'OCR'],\n    gapSkills: ['跨平台工程化', '桌面端发布', '系统 API']\n  },\n  {\n    test: /数据可视化|可视化|echarts|大屏/i,\n    keywords: ['数据可视化实习生', '前端可视化实习生', 'ECharts开发实习生'],\n    relevantSkills: ['ECharts', 'JavaScript', 'TypeScript', 'React', 'Vue', '数据处理'],\n    gapSkills: ['图形性能优化', '复杂交互', '可视化工程化']\n  },\n  {\n    test: /后端|java|node|服务端/i,\n    keywords: ['后端开发实习生', 'Node.js开发实习生', 'Java开发实习生'],\n    relevantSkills: ['Java', 'Node.js', 'Express', 'MySQL', 'Redis', 'Spring'],\n    gapSkills: ['数据库', '缓存', '接口设计']\n  }\n];\n\nfunction directionPreset(name) {\n  return DIRECTION_PRESETS.find(item => item.test.test(String(name || ''))) || null;\n}\n\nfunction normalizedSkillSet(profile = {}) {\n  return new Map(normalizeStringList(profile?.facts?.skills, 50).map(skill => [normalizeDirectionKey(skill), skill]));\n}\n\nfunction buildDirectionKeywords(name, profile = {}) {\n  const allKeywords = normalizeStringList(profile?.searchKeywords, 30);\n  const nameKey = normalizeDirectionKey(name);\n  const preset = directionPreset(name);\n  const matching = allKeywords.filter(keyword => {\n    const key = normalizeDirectionKey(keyword);\n    return key && (nameKey.includes(key) || key.includes(nameKey) || [...nameKey].filter(char => key.includes(char)).length >= Math.min(3, nameKey.length));\n  });\n  return uniq([name, ...matching, ...(preset?.keywords || [])]).filter(Boolean).slice(0, 8);\n}\n\nfunction buildDirectionEvidence(name, candidate = {}, profile = {}) {\n  const skills = normalizeStringList(profile?.facts?.skills, 30);\n  const skillMap = normalizedSkillSet(profile);\n  const preset = directionPreset(name);\n  const relevant = (preset?.relevantSkills || skills).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return skillMap.has(key) || skills.some(current => normalizeDirectionKey(current).includes(key) || key.includes(normalizeDirectionKey(current)));\n  });\n  const matchedSkills = uniq(relevant.length ? relevant : skills.slice(0, 4)).slice(0, 5);\n  const gaps = (preset?.gapSkills || []).filter(skill => {\n    const key = normalizeDirectionKey(skill);\n    return ![...skillMap.keys()].some(existing => existing.includes(key) || key.includes(existing));\n  }).slice(0, 3);\n  const evidence = normalizeStringList(candidate?.evidence, 3);\n  const reason = evidence.length\n    ? `职业画像中已提取到：${evidence.join('；')}`.slice(0, 160)\n    : matchedSkills.length\n      ? `与简历中的 ${matchedSkills.join('、')} 技能和项目经历匹配。`\n      : `该方向来自职业画像中的主要求职方向，可继续人工调整。`;\n  return { matchedSkills, gaps, reason };\n}\n\nfunction normalizeDirectionItem(item = {}, index = 0) {\n  const name = String(item.name || item.title || '').trim().slice(0, 60);\n  const source = item.source === 'custom' || item.custom ? 'custom' : 'profile';\n  const id = String(item.id || stableDirectionId(name || `custom-${index}`, source));\n  return {\n    id,\n    source,\n    custom: source === 'custom',\n    sourceName: String(item.sourceName || name).trim().slice(0, 60),\n    name,\n    enabled: item.enabled !== false,\n    priority: Math.round(clampNumber(item.priority, 1, 99, index + 1)),\n    score: Math.round(clampNumber(item.score, 0, 100, source === 'custom' ? 70 : Math.max(60, 88 - index * 7))),\n    reason: String(item.reason || (source === 'custom' ? '用户自定义岗位方向。' : '根据职业画像推荐。')).trim().slice(0, 240),\n    matchedSkills: normalizeStringList(item.matchedSkills, 8),\n    gaps: normalizeStringList(item.gaps, 6),\n    keywords: uniq(normalizeStringList(item.keywords, 12).length ? normalizeStringList(item.keywords, 12) : [name]).slice(0, 12),\n    updatedAt: Number(item.updatedAt || Date.now())\n  };\n}\n\nfunction profileDirectionSignature(profile = {}) {\n  return JSON.stringify({\n    directions: normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 6).map(normalizeDirectionKey),\n    keywords: normalizeStringList(profile?.searchKeywords, 20).map(normalizeDirectionKey)\n  });\n}\n\nfunction normalizeDirectionPlan(plan, profile = null, options = {}) {\n  const items = (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score)\n    .slice(0, 12)\n    .map((item, index) => ({ ...item, priority: index + 1 }));\n  return {\n    version: 1,\n    items,\n    confirmed: options.confirmed ?? Boolean(plan?.confirmed),\n    updatedAt: Number(options.updatedAt || plan?.updatedAt || Date.now()),\n    appliedAt: Number(options.appliedAt || plan?.appliedAt || 0),\n    profileSignature: String(options.profileSignature || plan?.profileSignature || profileDirectionSignature(profile)).slice(0, 600)\n  };\n}\n\nfunction buildDirectionPlan(profile = {}, currentPlan = null, options = {}) {\n  const primary = Array.isArray(profile?.primaryDirections) ? profile.primaryDirections : [];\n  const secondary = Array.isArray(profile?.secondaryDirections) ? profile.secondaryDirections : [];\n  const searchKeywords = normalizeStringList(profile?.searchKeywords, 20);\n  const candidates = [];\n  for (const item of [...primary, ...secondary]) {\n    const name = String(typeof item === 'string' ? item : item?.name || '').trim();\n    if (!name || candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(name))) continue;\n    candidates.push({ name, raw: typeof item === 'object' ? item : {} });\n  }\n  for (const keyword of searchKeywords) {\n    if (candidates.length >= 6) break;\n    if (!/开发|工程师|实习生|前端|后端|全栈|AI|人工智能|工具|可视化/i.test(keyword)) continue;\n    if (candidates.some(candidate => normalizeDirectionKey(candidate.name) === normalizeDirectionKey(keyword))) continue;\n    candidates.push({ name: keyword, raw: {} });\n  }\n  if (!candidates.length) candidates.push({ name: '目标岗位', raw: {} });\n\n  const existing = new Map((currentPlan?.items || []).map(item => [String(item.id || ''), item]));\n  const generated = candidates.slice(0, 6).map((candidate, index) => {\n    const id = stableDirectionId(candidate.name, 'profile');\n    const previous = existing.get(id);\n    const confidence = Number(candidate.raw?.confidence);\n    const score = Number.isFinite(confidence)\n      ? Math.round(confidence <= 1 ? confidence * 100 : confidence)\n      : Math.max(62, 90 - index * 7);\n    const evidence = buildDirectionEvidence(candidate.name, candidate.raw, profile);\n    return normalizeDirectionItem({\n      id,\n      source: 'profile',\n      sourceName: candidate.name,\n      name: options.preserveEdits && previous?.name ? previous.name : candidate.name,\n      enabled: options.preserveSelections && previous ? previous.enabled : index < 3,\n      priority: previous?.priority || index + 1,\n      score,\n      reason: evidence.reason,\n      matchedSkills: evidence.matchedSkills,\n      gaps: evidence.gaps,\n      keywords: options.preserveEdits && previous?.keywords?.length\n        ? previous.keywords\n        : buildDirectionKeywords(candidate.name, profile)\n    }, index);\n  });\n  const custom = options.preserveCustom === false ? [] : (currentPlan?.items || [])\n    .filter(item => item?.source === 'custom' || item?.custom)\n    .map((item, index) => normalizeDirectionItem(item, generated.length + index));\n  return normalizeDirectionPlan({\n    items: [...generated, ...custom],\n    confirmed: options.confirmed ?? false,\n    updatedAt: Date.now(),\n    appliedAt: options.confirmed ? Date.now() : Number(currentPlan?.appliedAt || 0)\n  }, profile, { confirmed: options.confirmed ?? false, updatedAt: Date.now() });\n}\n\nfunction selectedDirectionItems(plan = {}) {\n  return (Array.isArray(plan?.items) ? plan.items : [])\n    .map((item, index) => normalizeDirectionItem(item, index))\n    .filter(item => item.enabled && item.name && item.keywords.length)\n    .sort((left, right) => left.priority - right.priority || right.score - left.score);\n}\n\nfunction fallbackApplicantGreeting(job, profile) {\n  const title = String(job?.title || '该岗位').trim();\n  const skills = normalizeStringList(profile?.facts?.skills, 4);\n  const direction = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 2);\n  const evidence = skills.length ? `我的简历中有${skills.slice(0, 3).join('、')}相关项目与实践` : (profile?.summary || direction.join('、'));\n  const target = `贵公司的${title}`;\n  return `您好，我想应聘${target}岗位。${evidence ? `${evidence}，` : ''}对岗位的工作内容很感兴趣。方便的话希望进一步了解岗位和团队，谢谢。`\n    .replace(/。{2,}/g, '。')\n    .slice(0, 140);\n}\n\nfunction normalizeApplicantGreeting(result, job, profile) {\n  const raw = String(result?.greeting || '').trim();\n  const reversed = /看到你的简历|你的简历|很匹配我们|匹配我们|欢迎.*沟通|期待你|候选人|我们团队|我们公司|团队主要涉及|你很匹配|方便的话来聊聊/i.test(raw);\n  const applicantVoice = /我想应聘|我希望应聘|我对.{0,20}(岗位|职位).{0,10}(感兴趣|有兴趣)|想进一步了解|希望进一步沟通/.test(raw);\n  if (!raw || reversed || !applicantVoice) return fallbackApplicantGreeting(job, profile);\n  return raw.slice(0, 160);\n}\n\nfunction fastMassAnalysis(job, profile) {\n  const jobText = [job?.title, job?.description, job?.cardText].filter(Boolean).join('\\n').toLowerCase();\n  const skills = normalizeStringList(profile?.facts?.skills, 20);\n  const directions = normalizeStringList(profile?.primaryDirections?.map(item => typeof item === 'string' ? item : item?.name), 8);\n  const matchedEvidence = [];\n  for (const skill of skills) {\n    const token = String(skill || '').trim();\n    if (token && jobText.includes(token.toLowerCase())) matchedEvidence.push(token);\n  }\n  const directionMatched = directions.some(item => item && jobText.includes(String(item).toLowerCase()));\n  const score = Math.max(25, Math.min(88, 35 + matchedEvidence.length * 9 + (directionMatched ? 15 : 0)));\n  return {\n    score,\n    decision: matchedEvidence.length || directionMatched ? 'recommend' : 'cautious',\n    hardBlocks: [],\n    strictHardBlocks: [],\n    matchedEvidence: matchedEvidence.slice(0, 8),\n    gaps: [],\n    risks: [],\n    reason: '安全海投快速模式 仅做基础排序 不因技能 年限 专业或学历差距直接拦截',\n    greeting: fallbackApplicantGreeting(job, profile),\n    analysisMode: 'local-mass-fast'\n  };\n}\n\nasync function analyzeJob(job) {\n  const { profile, resumeText, config } = await storage.get(['profile', 'resumeText', 'config']);\n  if (!profile) throw new Error('请先生成职业画像');\n  const massMode = normalizeStrategy(config?.batchStrategy) === 'mass';\n  if (massMode && config?.massApplyAnalysis !== 'ai') return fastMassAnalysis(job, profile);\n  const strategyInstruction = massMode\n    ? '当前为安全海投模式。技能、技术栈、专业、学历偏差、经验年限不足和行业经历缺失通常只能放入gaps，不能直接判定reject。只有JD明确写出必须、仅限、不接受，且与用户真实条件发生不可改变冲突时，才写入hardBlocks。'\n    : '当前为精准投递模式。可以综合匹配度给出recommend、cautious或reject，但技能缺口仍应与真正不可改变的硬性冲突区分。';\n  const result = await callModel([\n    {\n      role: 'system',\n      content: `你是为求职者服务的岗位匹配审查器，不是招聘方。用户是正在应聘岗位的求职者。任何能力、年限、项目和成果都不能超出简历事实。${strategyInstruction} 输出 JSON：{\"score\":0,\"decision\":\"recommend|cautious|reject\",\"hardBlocks\":[],\"matchedEvidence\":[],\"gaps\":[],\"risks\":[],\"reason\":\"\",\"greeting\":\"\"}。greeting 是求职者发给招聘方/HR 的第一人称求职招呼语，50-110字，应使用“您好，我想应聘贵公司的……”口吻。严禁写成招聘方口吻，严禁出现“看到你的简历”“你的经历很匹配我们”“欢迎进一步沟通”“我们团队”“候选人”等表述；不得承诺薪资、到岗、年限或不存在的能力。`\n    },\n    {\n      role: 'user',\n      content: `职业画像：${JSON.stringify(profile)}\n简历：${String(resumeText || '').slice(0, 15000)}\n岗位：${JSON.stringify(job)}`\n    }\n  ]);\n  result.score = Math.max(0, Math.min(100, Number(result.score || 0)));\n  result.greeting = normalizeApplicantGreeting(result, job, profile);\n  result.hardBlocks = Array.isArray(result.hardBlocks) ? result.hardBlocks.map(item => String(item || '').trim()).filter(Boolean) : [];\n  result.strictHardBlocks = strictHardBlocks(result.hardBlocks);\n  if (result.strictHardBlocks.length) result.decision = 'reject';\n  else if (massMode && result.decision === 'reject') result.decision = 'cautious';\n  if (!massMode && result.score < Number(config?.minScore || 75) && result.decision === 'recommend') result.decision = 'cautious';\n  return result;\n}\n\nfunction createTasks(profile, config, directionPlan) {\n  const directions = selectedDirectionItems(directionPlan);\n  const locations = config.targetLocations?.length ? config.targetLocations : [''];\n  const employmentTypes = config.employmentTypes?.length ? config.employmentTypes : ['不限'];\n  const tasks = [];\n  const seen = new Set();\n  for (const direction of directions) {\n    for (const keyword of direction.keywords) {\n      for (const location of locations) {\n        for (const employmentType of employmentTypes) {\n          const dedupeKey = [keyword, location, employmentType].map(value => String(value || '').trim().toLowerCase()).join('|');\n          if (seen.has(dedupeKey)) continue;\n          seen.add(dedupeKey);\n          tasks.push({\n            id: crypto.randomUUID(),\n            directionId: direction.id,\n            directionName: direction.name,\n            directionPriority: direction.priority,\n            directionScore: direction.score,\n            keyword,\n            location,\n            employmentType,\n            experience: config.experiences?.[0] || '',\n            degree: config.degrees?.[0] || '',\n            salary: config.salary || '不限',\n            attempts: 0,\n            status: 'pending',\n            progress: 0,\n            stageLabel: '等待开始',\n            processed: 0,\n            discovered: 0,\n            analyzed: 0,\n            failed: 0,\n            createdAt: Date.now()\n          });\n        }\n      }\n    }\n  }\n  return tasks;\n}\n\n\nasync function dispatchNextAutoPending() {\n  const { pending = [], workflow = {}, config = {} } = await storage.get(['pending', 'workflow', 'config']);\n  if (config.executionMode !== 'auto') return { started: false, reason: 'not-auto' };\n  if (config.dryRun) return { started: false, reason: 'dry-run' };\n  if (workflow.pendingApplyId) return { started: false, reason: 'busy', pendingApplyId: workflow.pendingApplyId };\n  const ranked = rerankPending(pending);\n  const candidate = ranked.find(entry => entry.status === 'approved_queue');\n  if (!candidate) {\n    await storage.set({ pending: ranked });\n    return { started: false, reason: 'empty' };\n  }\n  const next = rerankPending(ranked.map(entry => entry.id === candidate.id\n    ? { ...entry, status: 'approved', approvedAt: entry.approvedAt || Date.now() }\n    : entry));\n  await storage.set({ pending: next });\n  const run = await updateTaskRunByPending(candidate.id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: `优先投递 · 队列第 ${candidate.priorityRank || 1} 位`,\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `${normalizeStrategy(config.batchStrategy) === 'mass' ? '安全海投' : '精准投递'}：${candidate.job?.title || '岗位'}（队列优先级 ${candidate.priorityRank || 1}）`,\n    pendingApplyId: candidate.id,\n    activeRunId: run?.id || candidate.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { started: true, item: candidate, queueDepth: next.filter(entry => entry.status === 'approved_queue').length };\n}\n\nasync function addPending(item) {\n  const { pending = [], config = {} } = await storage.get(['pending', 'config']);\n  let run = null;\n  if (item.runId) {\n    run = await upsertTaskRun({\n      id: item.runId,\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  } else {\n    run = await upsertTaskRun({\n      job: item.job,\n      analysis: item.analysis,\n      searchTask: item.task,\n      status: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      stage: config.executionMode === 'auto' && !config.dryRun ? 'queued' : 'waiting_review',\n      progress: config.executionMode === 'auto' && !config.dryRun ? 64 : 60,\n      stageLabel: config.dryRun ? '模拟运行等待确认' : (config.executionMode === 'auto' ? '已进入自动排序队列' : '等待人工确认')\n    });\n  }\n  const nextItem = {\n    ...item,\n    runId: run.id,\n    id: item.id || crypto.randomUUID(),\n    deliveryGreeting: String(item.deliveryGreeting || item.analysis?.greeting || '').trim(),\n    status: config.executionMode === 'auto' && !config.dryRun ? 'approved_queue' : 'pending',\n    createdAt: Date.now()\n  };\n  await upsertTaskRun({ id: run.id, pendingId: nextItem.id });\n  const next = rerankPending([nextItem, ...pending.filter(entry => entry.id !== nextItem.id)]);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...(await storage.get('stats')).stats, pending: count } });\n  return next.find(entry => entry.id === nextItem.id) || nextItem;\n}\n\nasync function approvePending(id, greeting = '') {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const item = pending.find(entry => entry.id === id);\n  if (!item) throw new Error('待确认岗位不存在');\n  const lockedGreeting = String(greeting || item.deliveryGreeting || item.analysis?.greeting || '').trim();\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const next = pending.map(entry => entry.id === id ? {\n      ...entry,\n      deliveryGreeting: lockedGreeting,\n      analysis: { ...(entry.analysis || {}), greeting: lockedGreeting },\n      status: 'simulated',\n      completedAt\n    } : entry);\n    await storage.set({\n      pending: next,\n      stats: { ...stats, pending: next.filter(entry => entry.status === 'pending').length, simulated: Number(stats.simulated || 0) + 1 }\n    });\n    await updateTaskRunByPending(id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    await writeEvent('success', '模拟投递已通过 未执行真实发送', { id, job: item.job });\n    return next.find(entry => entry.id === id);\n  }\n  const updatedItem = {\n    ...item,\n    deliveryGreeting: lockedGreeting,\n    analysis: { ...(item.analysis || {}), greeting: lockedGreeting },\n    status: 'approved',\n    approvedAt: Date.now()\n  };\n  const next = pending.map(entry => entry.id === id ? updatedItem : entry);\n  await storage.set({ pending: next });\n  const pendingCount = next.filter(entry => entry.status === 'pending').length;\n  await storage.set({ stats: { ...stats, pending: pendingCount } });\n  const run = await updateTaskRunByPending(id, {\n    status: 'running',\n    stage: 'queued',\n    progress: 64,\n    stageLabel: '等待投递',\n    error: '',\n    retryable: true,\n    completedAt: null\n  });\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `准备以求职者身份沟通：${item.job?.title || '岗位'}`,\n    pendingApplyId: id,\n    activeRunId: run?.id || item.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), 700);\n  return updatedItem;\n}\n\nasync function approveAllPending() {\n  const { pending = [], config = {}, stats = {} } = await storage.get(['pending', 'config', 'stats']);\n  const candidates = rerankPending(pending).filter(entry => entry.status === 'pending');\n  if (!candidates.length) return { count: 0 };\n  if (config.dryRun) {\n    const completedAt = Date.now();\n    const ids = new Set(candidates.map(entry => entry.id));\n    const next = pending.map(entry => ids.has(entry.id) ? { ...entry, status: 'simulated', completedAt } : entry);\n    await storage.set({ pending: next, stats: { ...stats, pending: 0, simulated: Number(stats.simulated || 0) + candidates.length } });\n    for (const candidate of candidates) {\n      await updateTaskRunByPending(candidate.id, { status: 'success', stage: 'simulated', progress: 100, stageLabel: '模拟投递已通过', retryable: false, completedAt, result: 'dry-run' });\n    }\n    await writeEvent('success', `已完成${candidates.length}个岗位的模拟投递 未执行真实发送`);\n    return { count: candidates.length, simulated: true };\n  }\n  const ids = new Set(candidates.map(entry => entry.id));\n  const next = pending.map(entry => ids.has(entry.id)\n    ? { ...entry, status: 'approved_queue', approvedAt: Date.now() }\n    : entry);\n  const first = candidates[0];\n  await storage.set({ pending: next });\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const [index, candidate] of candidates.entries()) {\n    await updateTaskRunByPending(candidate.id, {\n      status: index === 0 ? 'running' : 'queued',\n      stage: 'queued',\n      progress: 64,\n      stageLabel: index === 0 ? '准备投递' : '批量队列等待中',\n      error: '',\n      retryable: true,\n      completedAt: null\n    });\n  }\n  await patchWorkflow({\n    running: true,\n    paused: false,\n    phase: 'apply',\n    statusText: `批量投递 1/${candidates.length}：${first.job?.title || '岗位'}`,\n    pendingApplyId: first.id,\n    activeRunId: first.runId || null\n  });\n  await sendToBoss({ type: 'RUN' });\n  return { count: candidates.length };\n}\n\nasync function rejectAllPending() {\n  const { pending = [] } = await storage.get('pending');\n  const count = pending.filter(entry => entry.status === 'pending').length;\n  const next = pending.map(entry => entry.status === 'pending'\n    ? { ...entry, status: 'rejected', rejectedAt: Date.now() }\n    : entry);\n  await storage.set({ pending: next });\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: 0 } });\n  for (const item of pending.filter(entry => entry.status === 'pending')) {\n    await updateTaskRunByPending(item.id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n  }\n  return { count };\n}\n\nasync function rejectPending(id) {\n  const { pending = [] } = await storage.get('pending');\n  const next = pending.map(entry => entry.id === id ? { ...entry, status: 'rejected', rejectedAt: Date.now() } : entry);\n  await storage.set({ pending: next });\n  const count = next.filter(entry => entry.status === 'pending').length;\n  const { stats } = await storage.get('stats');\n  await storage.set({ stats: { ...stats, pending: count } });\n  await updateTaskRunByPending(id, { status: 'ignored', stage: 'ignored', progress: 100, stageLabel: '已忽略', retryable: false });\n}\n\n\nasync function skipPendingTask(id, reason = '该岗位需要外部网申，已自动跳过', stageLabel = '外部网申岗位已跳过') {\n  const { pending = [], stats = {}, config = {}, chatTransition = null } = await storage.get(['pending', 'stats', 'config', 'chatTransition']);\n  const completedAt = Date.now();\n  let skippedItem = null;\n  let next = pending.map(entry => {\n    if (entry.id !== id) return entry;\n    skippedItem = { ...entry, status: 'skipped', completedAt, error: reason };\n    return skippedItem;\n  });\n  const updatedStats = {\n    ...stats,\n    pending: next.filter(entry => entry.status === 'pending').length\n  };\n  await storage.set({ pending: next, stats: updatedStats, chatTransition: chatTransition?.pendingId === id ? null : chatTransition });\n  const run = await updateTaskRunByPending(id, {\n    status: 'skipped', stage: 'skipped', progress: 100,\n    stageLabel, error: reason, retryable: false, completedAt\n  });\n  await writeEvent('info', stageLabel, {\n    id,\n    runId: run?.id || skippedItem?.runId || '',\n    job: skippedItem?.job,\n    reason\n  });\n\n  next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n  if (queued) {\n    next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n    await storage.set({ pending: next });\n    const queuedRun = await updateTaskRunByPending(queued.id, {\n      status: 'running', stage: 'queued', progress: 64,\n      stageLabel: '准备投递', error: '', completedAt: null\n    });\n    await patchWorkflow({\n      pendingApplyId: queued.id,\n      activeRunId: queuedRun?.id || queued.runId || null,\n      running: true,\n      paused: false,\n      phase: 'apply',\n      statusText: `已跳过外部网申岗位，继续投递：${queued.job?.title || '岗位'}`\n    });\n  } else {\n    await patchWorkflow({\n      pendingApplyId: null,\n      activeRunId: null,\n      running: true,\n      paused: false,\n      phase: 'search',\n      statusText: '外部网申岗位已跳过，继续搜索可直接沟通岗位'\n    });\n  }\n  setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), Math.max(3000, Math.min(10000, Number(config.betweenJobsSeconds || 5) * 1000)));\n  return { item: skippedItem, queued: queued || null };\n}\n\nasync function handleBridgeCommands() {\n  try {\n    const response = await bridge('/commands');\n    for (const command of response.commands || []) {\n      if (command.type === 'start') {\n        await patchWorkflow({ running: true, paused: false, statusText: '由 OpenClaw 启动' });\n        await sendToBoss({ type: 'RUN' });\n      } else if (command.type === 'pause') {\n        await patchWorkflow({ paused: true, statusText: '由 OpenClaw 暂停' });\n      } else if (command.type === 'stop') {\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '由 OpenClaw 停止' });\n      }\n    }\n  } catch {\n    // 桌面桥接未运行时保持浏览器扩展独立可用。\n  }\n}\n\nchrome.runtime.onInstalled.addListener(init);\nchrome.runtime.onStartup.addListener(init);\ninit();\n\nchrome.alarms.onAlarm.addListener(async alarm => {\n  if (alarm.name === 'jobclaw-update-check') {\n    await checkForUpdates(false).catch(() => {});\n    return;\n  }\n  if (alarm.name !== 'jobclaw-tick') return;\n  const { workflow } = await storage.get('workflow');\n  if (workflow?.running && !workflow.paused) sendToBoss({ type: 'RUN' }).catch(() => {});\n  handleBridgeCommands();\n  syncBridgeSnapshot(false).catch(() => {});\n});\n\nchrome.runtime.onMessage.addListener((message, sender, reply) => {\n  (async () => {\n    switch (message?.type) {\n      case 'TRUSTED_CHAT_INPUT': {\n        const tabId = sender?.tab?.id;\n        const url = String(sender?.tab?.url || '');\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('可信输入只能用于当前 BOSS 页面');\n        const result = await trustedChatInput(tabId, message);\n        reply({ ok: true, ...result });\n        break;\n      }\n      case 'RATE_LIMIT': {\n        reply(await enforceRateLimit(message.scope || 'discovery'));\n        break;\n      }\n      case 'SAFETY_OUTCOME': {\n        const state = await applySafetyOutcome({ ok: message.ok !== false, reason: message.reason || '' });\n        reply({ ok: true, state });\n        break;\n      }\n      case 'RESET_SAFETY': {\n        reply({ ok: true, state: await clearSafetyCircuit() });\n        break;\n      }\n      case 'JOB_PREFLIGHT': {\n        reply(await preflightJob(message.job || {}));\n        break;\n      }\n      case 'VERIFY_COMPANY': {\n        reply({ ok: true, result: await verifyCompanyForJob(message.job || {}, Boolean(message.force)) });\n        break;\n      }\n      case 'EVALUATE_STRATEGY': {\n        const { config = {} } = await storage.get('config');\n        const result = evaluateStrategy({\n          strategy: config.batchStrategy,\n          score: message.score,\n          minScore: config.minScore,\n          riskLevel: message.riskLevel || 'unknown',\n          verified: Boolean(message.verified),\n          decision: message.decision || 'cautious',\n          hardBlocks: message.hardBlocks || []\n        });\n        reply({ ok: true, result });\n        break;\n      }\n      case 'CHECK_UPDATE': {\n        reply({ ok: true, result: await checkForUpdates(Boolean(message.force)) });\n        break;\n      }\n      case 'OPEN_UPDATE': {\n        const { updateInfo = {} } = await storage.get('updateInfo');\n        const url = String(message.url || updateInfo.url || 'https://github.com/Chrisbetheking/job-claw/releases');\n        await chrome.tabs.create({ url });\n        reply({ ok: true });\n        break;\n      }\n      case 'GET_STATE':\n        reply({ ok: true, state: publicState(await storage.all()) });\n        break;\n      case 'SAVE_CONFIG': {\n        const { config } = await storage.get('config');\n        const incoming = message.config || {};\n        const oldKey = config?.model?.apiKey || '';\n        incoming.model = {\n          ...(config?.model || {}),\n          ...(incoming.model || {}),\n          apiKey: incoming.model?.apiKey && incoming.model.apiKey !== '***'\n            ? incoming.model.apiKey\n            : oldKey\n        };\n        incoming.executionMode = incoming.executionMode === 'auto' ? 'auto' : 'review';\n        incoming.batchStrategy = normalizeStrategy(incoming.batchStrategy || config?.batchStrategy || 'precise');\n        incoming.massApplyAnalysis = ['fast', 'ai'].includes(incoming.massApplyAnalysis) ? incoming.massApplyAnalysis : (config?.massApplyAnalysis || 'fast');\n        incoming.pacingPreset = ['conservative', 'standard', 'efficient', 'custom'].includes(incoming.pacingPreset) ? incoming.pacingPreset : (config?.pacingPreset || 'standard');\n        incoming.dryRun = Boolean(incoming.dryRun);\n        incoming.dailyTarget = Math.max(1, Math.min(150, Number(incoming.dailyTarget || config?.dailyTarget || 30)));\n        incoming.discoveryLimit = Math.max(1, Math.min(800, Number(incoming.discoveryLimit || config?.discoveryLimit || 150)));\n        const presetDelay = { conservative: 15, standard: 9, efficient: 6 }[incoming.pacingPreset];\n        incoming.betweenJobsSeconds = Math.max(6, Math.min(120, Number(presetDelay || incoming.betweenJobsSeconds || config?.betweenJobsSeconds || 9)));\n        incoming.attachmentDelaySeconds = Math.max(1.5, Math.min(15, Number(incoming.attachmentDelaySeconds || config?.attachmentDelaySeconds || 3)));\n        incoming.maxPerCompanyPerDay = Math.max(1, Math.min(12, Number(incoming.maxPerCompanyPerDay || config?.maxPerCompanyPerDay || 3)));\n        incoming.queueWarmup = Math.max(1, Math.min(10, Number(incoming.queueWarmup || config?.queueWarmup || 4)));\n        incoming.maxConsecutiveFailures = Math.max(1, Math.min(10, Number(incoming.maxConsecutiveFailures || config?.maxConsecutiveFailures || 3)));\n        incoming.jitterSeconds = Math.max(0, Math.min(15, Number(incoming.jitterSeconds ?? config?.jitterSeconds ?? 3)));\n        incoming.companyVerificationEnabled = incoming.companyVerificationEnabled !== false;\n        incoming.companyVerificationProvider = String(incoming.companyVerificationProvider || config?.companyVerificationProvider || 'bridge');\n        incoming.companyVerificationCacheDays = Math.max(1, Math.min(90, Number(incoming.companyVerificationCacheDays || config?.companyVerificationCacheDays || 14)));\n        incoming.blockUnknownCompanies = Boolean(incoming.blockUnknownCompanies);\n        incoming.updateCheckEnabled = incoming.updateCheckEnabled !== false;\n        incoming.dailyReportEnabled = incoming.dailyReportEnabled !== false;\n        incoming.dailyReportTime = /^\\d{2}:\\d{2}$/.test(String(incoming.dailyReportTime || '')) ? String(incoming.dailyReportTime) : (config?.dailyReportTime || '20:30');\n        incoming.dailyReportNotification = incoming.dailyReportNotification !== false;\n        incoming.rateLimits = { ...DEFAULTS.config.rateLimits, ...(config?.rateLimits || {}), ...(incoming.rateLimits || {}), deliveryMs: Math.max(6000, Number(incoming.betweenJobsSeconds || 9) * 1000), attachmentMs: Math.max(1500, Number(incoming.attachmentDelaySeconds || 3) * 1000) };\n        incoming.model.baseUrl = String(incoming.model.baseUrl || 'https://api.deepseek.com').trim();\n        incoming.model.model = String(incoming.model.model || 'deepseek-v4-pro').trim();\n        await storage.set({ config: { ...(config || {}), ...incoming } });\n        await writeEvent('info', '设置已保存');\n        syncBridgeSnapshot(true).catch(() => {});\n        reply({ ok: true });\n        break;\n      }\n      case 'SET_RESUME':\n        await storage.set({ resumeText: String(message.text || '') });\n        await writeEvent('info', '简历文本已保存', { length: String(message.text || '').length });\n        reply({ ok: true });\n        break;\n      case 'SET_RESUME_SOURCE': {\n        const file = message.file || null;\n        if (!file?.name || !file?.dataUrl) throw new Error('简历原文件数据不完整');\n        if (String(file.dataUrl).length > 26 * 1024 * 1024) throw new Error('简历原文件过大');\n        const source = {\n          name: String(file.name),\n          type: String(file.type || ''),\n          size: Number(file.size || 0),\n          lastModified: Number(file.lastModified || 0),\n          dataUrl: String(file.dataUrl),\n          savedAt: Date.now()\n        };\n        await storage.set({ resumeSourceFile: source });\n        await writeEvent('info', '简历原文件已保留', { name: source.name, size: source.size });\n        reply({ ok: true, file: { name: source.name, type: source.type, size: source.size, stored: true } });\n        break;\n      }\n      case 'PARSE_RESUME_PDF': {\n        const { resumeSourceFile } = await storage.get('resumeSourceFile');\n        if (!resumeSourceFile?.dataUrl) throw new Error('请先选择 PDF 简历');\n        if (!String(resumeSourceFile.name || '').toLowerCase().endsWith('.pdf') && resumeSourceFile.type !== 'application/pdf') {\n          throw new Error('当前保留的文件不是 PDF');\n        }\n        try {\n          const result = await bridge('/parse-resume', {\n            name: resumeSourceFile.name,\n            type: resumeSourceFile.type,\n            dataUrl: resumeSourceFile.dataUrl\n          });\n          if (result?.text) await writeEvent('info', 'PDF 本机深度识别完成', { method: result.method, length: result.text.length });\n          reply({ ok: Boolean(result?.ok), result, error: result?.error || '' });\n        } catch (error) {\n          reply({ ok: false, error: `桌面桥接不可用：${error.message}` });\n        }\n        break;\n      }\n      case 'SET_IMAGE':\n        await storage.set({ resumeImage: message.dataUrl || null });\n        await writeEvent('info', message.dataUrl ? '简历图片已保存' : '简历图片已移除');\n        reply({ ok: true });\n        break;\n      case 'BUILD_LOCAL_PROFILE':\n      case 'ENSURE_PROFILE_DRAFT': {\n        const { resumeText, profile: currentProfile, profileDraft: currentDraft } = await storage.get(['resumeText', 'profile', 'profileDraft']);\n        if (profileDraftHasCore(currentDraft) && profileHasCore(currentProfile)) {\n          reply({ ok: true, profile: currentProfile, profileDraft: currentDraft, skipped: true });\n          break;\n        }\n        if (profileHasCore(currentProfile)) {\n          const profileDraft = profileDraftHasAny(currentDraft)\n            ? normalizeProfileDraft(currentDraft, profileToDraft(currentProfile, 'profile-repair'))\n            : profileToDraft(currentProfile, 'profile-repair');\n          await storage.set({ profileDraft });\n          reply({ ok: true, profile: currentProfile, profileDraft, repaired: true });\n          break;\n        }\n        const profile = buildLocalProfile(resumeText || '');\n        profile.generation.mode = 'local-recovery';\n        profile.generation.label = '本地初稿';\n        profile.generation.warning = '已从保存的简历自动恢复可编辑初稿。';\n        const profileDraft = profileToDraft(profile, 'local-recovery');\n        const { directionPlan: currentDirectionPlan } = await storage.get('directionPlan');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        await writeEvent('info', '已从已保存简历恢复可编辑画像', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation: profile.generation });\n        break;\n      }\n      case 'BUILD_PROFILE': {\n        const { resumeText, directionPlan: currentDirectionPlan } = await storage.get(['resumeText', 'directionPlan']);\n        const profile = await buildProfile(resumeText || '');\n        const profileDraft = profileToDraft(profile, profile.generation?.mode || 'generated');\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: false,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        await storage.set({ profile, profileDraft, directionPlan });\n        const generation = profile.generation || {};\n        const local = generation.mode === 'local-fallback';\n        const eventTitle = !local\n          ? (generation.mode === 'ai-compact-retry' ? 'AI 精简重试成功，职业画像已生成' : '职业画像已生成')\n          : generation.aiStatus === 'service-error'\n            ? 'AI 请求失败，已生成本地可编辑画像'\n            : generation.aiStatus === 'config-missing'\n              ? 'AI 尚未配置，已生成本地可编辑画像'\n              : 'AI 输出未通过校验，已生成本地可编辑画像';\n        await writeEvent(local ? 'warning' : 'info', eventTitle,\n          { directions: profile.primaryDirections, generation });\n        reply({ ok: true, profile, profileDraft, directionPlan, generation, warning: generation.warning || '' });\n        break;\n      }\n      case 'SAVE_PROFILE_DRAFT': {\n        const { profileDraft: currentDraft } = await storage.get('profileDraft');\n        const profileDraft = normalizeProfileDraft(message.profileDraft, currentDraft);\n        await storage.set({ profileDraft });\n        reply({ ok: true, profileDraft });\n        break;\n      }\n      case 'SAVE_PROFILE': {\n        const { profile: currentProfile, config = {}, profileDraft: currentDraft, directionPlan: currentDirectionPlan } = await storage.get(['profile', 'config', 'profileDraft', 'directionPlan']);\n        const profile = normalizeProfile(message.profile, currentProfile);\n        const profileDraft = profileToDraft(profile, 'manual-save');\n        const keepDirectionConfirmation = Boolean(\n          currentDirectionPlan?.confirmed\n          && profileDirectionSignature(currentProfile || {}) === profileDirectionSignature(profile)\n        );\n        const directionPlan = buildDirectionPlan(profile, currentDirectionPlan, {\n          confirmed: keepDirectionConfirmation,\n          preserveSelections: true,\n          preserveEdits: true,\n          preserveCustom: true\n        });\n        const hard = profile.hardConstraints || {};\n        const nextConfig = {\n          ...config,\n          targetLocations: hard.locations?.length ? hard.locations : (config.targetLocations || []),\n          employmentTypes: hard.employmentTypes?.length ? hard.employmentTypes : (config.employmentTypes || ['不限']),\n          experiences: hard.experience ? [hard.experience] : (config.experiences || []),\n          degrees: hard.degree ? [hard.degree] : (config.degrees || []),\n          salary: hard.salary || config.salary || '不限'\n        };\n        await storage.set({ profile, profileDraft, directionPlan, config: nextConfig });\n        await writeEvent('info', '职业画像已手动保存', { directions: profile.primaryDirections });\n        reply({ ok: true, profile, profileDraft, directionPlan, config: nextConfig });\n        break;\n      }\n      case 'REBUILD_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'profileDraft', 'directionPlan']);\n        let profile = stored.profile;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        const directionPlan = buildDirectionPlan(profile, stored.directionPlan, {\n          confirmed: false,\n          preserveSelections: false,\n          preserveEdits: false,\n          preserveCustom: true\n        });\n        await storage.set({ directionPlan });\n        await writeEvent('info', '已重新生成岗位方向推荐', {\n          directions: directionPlan.items.map(item => item.name),\n          enabled: directionPlan.items.filter(item => item.enabled).length\n        });\n        reply({ ok: true, directionPlan });\n        break;\n      }\n      case 'SAVE_DIRECTION_PLAN': {\n        const stored = await storage.get(['profile', 'config', 'workflow', 'directionPlan']);\n        if (!profileHasCore(stored.profile)) throw new Error('请先生成职业画像');\n        const directionPlan = normalizeDirectionPlan(message.directionPlan, stored.profile, {\n          confirmed: true,\n          updatedAt: Date.now(),\n          appliedAt: Date.now()\n        });\n        const selected = selectedDirectionItems(directionPlan);\n        if (!selected.length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(stored.profile, stored.config || DEFAULTS.config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可用搜索词，请先补充关键词');\n        await storage.set({ directionPlan });\n        await writeEvent('info', '投递岗位方向已保存', {\n          directions: selected.map(item => item.name),\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        reply({\n          ok: true,\n          directionPlan,\n          selectedCount: selected.length,\n          taskCount: tasks.length,\n          appliesNextRun: Boolean(stored.workflow?.running)\n        });\n        break;\n      }\n      case 'TEST_AI': {\n        const text = await callModel([\n          { role: 'system', content: '只回复“连接正常”。' },\n          { role: 'user', content: '测试连接' }\n        ], false);\n        reply({ ok: true, text });\n        break;\n      }\n      case 'PROBE_BOSS': {\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        const result = await ensureBossReceiver(tab);\n        reply({ ok: true, result: { ...result, tabId: tab.id, title: tab.title || '', url: tab.url || '' } });\n        break;\n      }\n      case 'START': {\n        const safety = await storage.get('safetyState');\n        if (safety.safetyState?.circuitOpen) throw new Error(`安全熔断未重置：${safety.safetyState.circuitReason || '请先检查页面状态'}`);\n        const stored = await storage.get(['profile', 'profileDraft', 'resumeText', 'config', 'directionPlan']);\n        let profile = stored.profile;\n        const config = stored.config;\n        if (!profileHasCore(profile) && profileDraftHasCore(stored.profileDraft)) {\n          profile = profileFromDraft(stored.profileDraft, profile);\n          await storage.set({ profile });\n        }\n        if (!profileHasCore(profile) && String(stored.resumeText || '').trim().length >= 30) {\n          profile = buildLocalProfile(stored.resumeText || '');\n          profile.generation.mode = 'local-recovery';\n          profile.generation.label = '本地初稿';\n          const profileDraft = profileToDraft(profile, 'start-recovery');\n          await storage.set({ profile, profileDraft });\n        }\n        if (!profileHasCore(profile)) throw new Error('请先生成职业画像');\n        let directionPlan = stored.directionPlan;\n        if (!directionPlan?.items?.length) {\n          directionPlan = buildDirectionPlan(profile, null, { confirmed: false });\n          await storage.set({ directionPlan });\n        }\n        directionPlan = normalizeDirectionPlan(directionPlan, profile);\n        if (!directionPlan.confirmed) throw new Error('请先在“简历 → 职业画像”中选择要投递的岗位方向并保存');\n        if (!selectedDirectionItems(directionPlan).length) throw new Error('至少选择一个要投递的岗位方向');\n        const tasks = createTasks(profile, config, directionPlan);\n        if (!tasks.length) throw new Error('所选岗位方向没有可执行的搜索词，请补充方向关键词');\n        const tab = await activeBossTab();\n        if (!tab) throw new Error('请先打开并登录 BOSS 直聘');\n        await ensureBossReceiver(tab);\n        const workflow = {\n          ...DEFAULTS.workflow,\n          running: true,\n          paused: false,\n          phase: 'search',\n          statusText: '正在启动岗位采集',\n          tasks,\n          activeRunId: null\n        };\n        await storage.set({ workflow });\n        try {\n          await sendToBossTab(tab, { type: 'RUN' });\n          await writeEvent('info', '任务已启动', { taskCount: workflow.tasks.length, tabId: tab.id });\n          reply({ ok: true });\n        } catch (error) {\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            phase: 'idle',\n            statusText: 'BOSS 页面连接失败，任务未启动'\n          });\n          throw error;\n        }\n        break;\n      }\n      case 'PAUSE':\n        await patchWorkflow({ paused: true, statusText: '用户已暂停' });\n        await writeEvent('info', '任务已暂停');\n        reply({ ok: true });\n        break;\n      case 'STOP':\n        await patchWorkflow({ running: false, paused: true, phase: 'idle', statusText: '用户已停止', pendingApplyId: null, activeRunId: null });\n        await writeEvent('info', '任务已停止');\n        reply({ ok: true });\n        break;\n      case 'AI_JOB':\n        reply({ ok: true, result: await analyzeJob(message.job) });\n        break;\n      case 'CHAT_BINDING_PREPARE': {\n        if (!message.pendingId || !message.expected) throw new Error('岗位与 HR 会话绑定信息不完整');\n        const transition = {\n          pendingId: String(message.pendingId),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          preparedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'CHAT_BINDING_CHECK': {\n        const expected = message.expected || {};\n        const recruiterName = String(message.context?.recruiterName || expected.recruiterName || '').trim();\n        const company = String(message.context?.companyName || expected.company || message.job?.company || '').trim();\n        const key = deriveConversationReservationKey(message.context || {}, expected, message.pendingId);\n        if (!key) {\n          reply({ ok: false, allowed: false, error: '目标 HR 已核验，但无法建立安全投递锁' });\n          break;\n        }\n        const { chatDeliveryLedger = {} } = await storage.get('chatDeliveryLedger');\n        const existing = chatDeliveryLedger[key];\n        const identityExisting = Object.values(chatDeliveryLedger).find(entry =>\n          entry?.pendingId !== message.pendingId\n          && ['reserved', 'sent'].includes(String(entry?.status || ''))\n          && sameRecruiterReservation(entry, recruiterName, company)\n        );\n        const conflict = existing && existing.pendingId !== message.pendingId ? existing : identityExisting;\n        if (conflict) {\n          reply({\n            ok: true,\n            allowed: false,\n            error: `当前 HR 会话已绑定其他岗位任务，禁止继续发送`,\n            existing: conflict\n          });\n          break;\n        }\n        const reservation = {\n          ...(existing || {}),\n          conversationKey: key,\n          pendingId: String(message.pendingId || ''),\n          runId: String(message.runId || ''),\n          jobUrl: String(message.job?.url || ''),\n          jobTitle: String(message.job?.title || ''),\n          company: String(message.job?.company || ''),\n          recruiterName,\n          company,\n          chatUrl: String(message.context?.url || ''),\n          status: existing?.status === 'sent' ? 'sent' : 'reserved',\n          reservedAt: existing?.reservedAt || Date.now(),\n          updatedAt: Date.now()\n        };\n        await storage.set({ chatDeliveryLedger: { ...chatDeliveryLedger, [key]: reservation } });\n        reply({ ok: true, allowed: true, conversationKey: key, reservation });\n        break;\n      }\n      case 'CHAT_BINDING_CONFIRMED': {\n        const transition = {\n          pendingId: String(message.pendingId || ''),\n          job: safeClone(message.job || {}),\n          expected: safeClone(message.expected || {}),\n          context: safeClone(message.context || {}),\n          confirmedAt: Date.now()\n        };\n        await storage.set({ chatTransition: transition });\n        reply({ ok: true, transition });\n        break;\n      }\n      case 'MATERIAL': {\n        const { resumeImage, config } = await storage.get(['resumeImage', 'config']);\n        reply({ ok: true, resumeImage, config });\n        break;\n      }\n      case 'CONTENT_STATE':\n        reply({ ok: true, state: await storage.all() });\n        break;\n      case 'WORKFLOW':\n        reply({ ok: true, workflow: await patchWorkflow(message.patch || {}) });\n        break;\n      case 'STATS':\n        reply({ ok: true, stats: await changeStats(message.delta || {}) });\n        break;\n      case 'TASK_PROGRESS': {\n        const run = await upsertTaskRun(message.run || {});\n        if (message.setActive) await patchWorkflow({ activeRunId: run.id });\n        reply({ ok: true, run });\n        break;\n      }\n      case 'SEARCH_TASK_PROGRESS':\n        reply({ ok: true, task: await updateSearchTaskProgress(message) });\n        break;\n      case 'RETRY_FAILED_TASK':\n        reply({ ok: true, ...(await retryFailedTask(message.runId)) });\n        break;\n      case 'RETRY_ALL_FAILED_TASKS':\n        reply({ ok: true, ...(await retryAllFailedTasks()) });\n        break;\n      case 'IGNORE_FAILED_TASK':\n        reply({ ok: true, run: await ignoreFailedTask(message.runId) });\n        break;\n      case 'OPEN_TASK_JOB': {\n        const url = String(message.url || '').trim();\n        if (!/^https:\\/\\/(?:www|app)\\.zhipin\\.com\\//i.test(url)) throw new Error('岗位地址无效');\n        const tab = await chrome.tabs.create({ url, active: true });\n        reply({ ok: true, tabId: tab.id });\n        break;\n      }\n      case 'EVENT':\n        reply({ ok: true, event: await writeEvent(message.level || 'info', message.message || '', message.data || {}) });\n        break;\n      case 'PENDING':\n        reply({ ok: true, item: await addPending(message.item || {}) });\n        break;\n      case 'APPROVE':\n        reply({ ok: true, item: await approvePending(message.id, message.greeting || '') });\n        break;\n      case 'REJECT':\n        await rejectPending(message.id);\n        reply({ ok: true });\n        break;\n      case 'APPROVE_ALL':\n        reply({ ok: true, ...(await approveAllPending()) });\n        break;\n      case 'REJECT_ALL':\n        reply({ ok: true, ...(await rejectAllPending()) });\n        break;\n      case 'AUTO_APPROVE': {\n        const { pending = [] } = await storage.get('pending');\n        const next = rerankPending(pending.map(entry => entry.id === message.id\n          ? {\n              ...entry,\n              deliveryGreeting: String(message.greeting || entry.deliveryGreeting || entry.analysis?.greeting || '').trim(),\n              status: 'approved_queue',\n              approvedAt: Date.now()\n            }\n          : entry));\n        await storage.set({ pending: next });\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      }\n      case 'AUTO_DISPATCH_NEXT':\n        reply({ ok: true, ...(await dispatchNextAutoPending()) });\n        break;\n      case 'SKIP_PENDING':\n        reply({ ok: true, ...(await skipPendingTask(message.id, message.reason, message.stageLabel)) });\n        break;\n      case 'APPLY_COMPLETE': {\n        const { pending = [], config = {}, stats = {}, chatDeliveryLedger = {}, chatTransition = null, deliveryHistory = [] } = await storage.get(['pending', 'config', 'stats', 'chatDeliveryLedger', 'chatTransition', 'deliveryHistory']);\n        const completedAt = Date.now();\n        let completedItem = null;\n        let next = pending.map(entry => {\n          if (entry.id !== message.id) return entry;\n          completedItem = { ...entry, status: message.ok ? 'sent' : 'failed', completedAt, error: message.error || '' };\n          return completedItem;\n        });\n        const updatedStats = {\n          ...stats,\n          pending: next.filter(entry => entry.status === 'pending').length,\n          sent: Number(stats?.sent || 0) + (message.ok ? 1 : 0),\n          failed: Number(stats?.failed || 0) + (message.ok ? 0 : 1)\n        };\n        const conversationKey = String(message.conversation?.key || '');\n        let nextLedger = chatDeliveryLedger;\n        if (conversationKey && chatDeliveryLedger[conversationKey]?.pendingId === message.id) {\n          nextLedger = {\n            ...chatDeliveryLedger,\n            [conversationKey]: {\n              ...chatDeliveryLedger[conversationKey],\n              status: message.ok ? 'sent' : 'failed',\n              sentAt: message.ok ? completedAt : (chatDeliveryLedger[conversationKey].sentAt || null),\n              failedAt: message.ok ? null : completedAt,\n              error: message.error || '',\n              updatedAt: completedAt\n            }\n          };\n        }\n        const nextTransition = chatTransition?.pendingId === message.id ? null : chatTransition;\n        const nextHistory = message.ok && completedItem?.job\n          ? [createHistoryEntry(completedItem.job, 'sent', completedAt, { pendingId: message.id, runId: completedItem.runId || '' }), ...deliveryHistory].slice(0, 2000)\n          : deliveryHistory;\n        await storage.set({ pending: next, stats: updatedStats, chatDeliveryLedger: nextLedger, chatTransition: nextTransition, deliveryHistory: nextHistory });\n        const safetyAfter = await applySafetyOutcome({ ok: Boolean(message.ok), reason: message.error || (message.ok ? '' : '投递失败') });\n        const completedRun = await updateTaskRunByPending(message.id, message.ok\n          ? {\n              status: 'success', stage: 'success', progress: 100, stageLabel: '投递成功', error: '',\n              retryable: false, completedAt, result: message.result || 'sent'\n            }\n          : {\n              status: 'failed', stage: message.stage || 'failed', progress: 100,\n              stageLabel: message.stageLabel || '投递失败', error: message.error || '投递失败',\n              retryable: message.retryable !== false, retryRequestedAt: 0, completedAt\n            });\n        await writeEvent(message.ok ? 'success' : 'error', message.ok ? '求职投递成功' : '求职投递失败', {\n          id: message.id,\n          runId: completedRun?.id || completedItem?.runId || '',\n          job: completedItem?.job,\n          stage: message.stage || '',\n          error: message.error || ''\n        });\n        if (safetyAfter.circuitOpen) {\n          reply({ ok: true, circuitOpen: true, reason: safetyAfter.circuitReason });\n          break;\n        }\n\n        const validationPending = message.ok\n          && config.executionMode === 'auto'\n          && config.requireSingleJobValidation !== false\n          && !Number(config.singleJobValidationCompletedAt || 0);\n        if (validationPending) {\n          const nextConfig = { ...config, singleJobValidationCompletedAt: completedAt };\n          await storage.set({ config: nextConfig });\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: null,\n            phase: 'idle',\n            statusText: '单条验收已通过并自动暂停；确认聊天文字和附件后可继续批量'\n          });\n          await writeEvent('success', '首次单条投递验收通过', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            completedAt\n          });\n          reply({ ok: true, validationCompleted: true, pausedForValidation: true });\n          break;\n        }\n\n        if (updatedStats.sent >= Number(config.dailyTarget || 30)) {\n          await patchWorkflow({ running: false, paused: true, pendingApplyId: null, activeRunId: null, phase: 'idle', statusText: `已完成今日 ${updatedStats.sent} 次成功投递` });\n          reply({ ok: true, targetReached: true });\n          break;\n        }\n\n        // 任何文字未确认场景都暂停当前队列，但只有输入框中确实存在完整招呼语时，\n        // 才提示“草稿已保留”。输入框为空时必须明确提示写入失败，不能误导用户。\n        if (!message.ok && message.pauseQueue) {\n          const draftPresent = message.preserveDraft === true || message.draftPresent === true;\n          await patchWorkflow({\n            running: false,\n            paused: true,\n            pendingApplyId: null,\n            activeRunId: completedRun?.id || completedItem?.runId || null,\n            phase: 'apply',\n            statusText: draftPresent\n              ? '发送未确认，已暂停队列；当前招呼语仍在输入框'\n              : '文字没有写入或没有发送，已暂停队列并停留在当前 HR 页面'\n          });\n          await writeEvent('warning', draftPresent\n            ? '自动投递已暂停，当前招呼语仍保留在输入框'\n            : '自动投递已暂停，聊天输入框中没有完整招呼语', {\n            id: message.id,\n            runId: completedRun?.id || completedItem?.runId || '',\n            job: completedItem?.job,\n            draftPresent,\n            editorDiagnostics: message.editorDiagnostics || null,\n            error: message.error || ''\n          });\n          reply({ ok: true, pausedForDraft: draftPresent, pausedForSendFailure: true });\n          break;\n        }\n\n        next = rerankPending(next);\n        const queued = next.find(entry => entry.status === 'approved_queue');\n        if (queued) {\n          next = next.map(entry => entry.id === queued.id ? { ...entry, status: 'approved' } : entry);\n          await storage.set({ pending: next });\n          const remaining = next.filter(entry => entry.status === 'approved_queue').length;\n          const queuedRun = await updateTaskRunByPending(queued.id, {\n            status: 'running', stage: 'queued', progress: 64, stageLabel: '准备投递', error: '', completedAt: null\n          });\n          await patchWorkflow({\n            pendingApplyId: queued.id,\n            activeRunId: queuedRun?.id || queued.runId || null,\n            running: true,\n            paused: false,\n            phase: 'apply',\n            statusText: `继续批量投递：${queued.job?.title || '岗位'}（剩余 ${remaining}）`\n          });\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ statusText: `当前岗位处理完成，${Math.round(pacingMs / 1000)} 秒后继续批量投递` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        } else {\n          const pacingMs = Math.max(3000, Math.min(30000, Number(config.betweenJobsSeconds || 12) * 1000));\n          await patchWorkflow({ pendingApplyId: null, activeRunId: null, phase: 'search', statusText: message.ok ? `文字投递已确认，${Math.round(pacingMs / 1000)} 秒后继续筛选` : `当前岗位失败，${Math.round(pacingMs / 1000)} 秒后继续筛选` });\n          setTimeout(() => sendToBoss({ type: 'RUN' }).catch(() => {}), pacingMs);\n        }\n        reply({ ok: true });\n        break;\n      }\n      case 'BRIDGE_STATUS':\n        try { reply({ ok: true, result: await bridge('/status') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_DIAGNOSE':\n        reply({ ok: true, result: await diagnoseBridge() });\n        break;\n      case 'BRIDGE_REPORT_NOW':\n        try {\n          await syncBridgeSnapshot(true);\n          reply({ ok: true, result: await bridge('/report/generate', { force: true }) });\n        } catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_REPORT':\n        try { reply({ ok: true, result: await bridge('/report') }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      case 'BRIDGE_COMMAND':\n        try { reply({ ok: true, result: await bridge('/command', { type: message.command }) }); }\n        catch (error) { reply({ ok: false, error: error.message }); }\n        break;\n      default:\n        reply({ ok: false, error: 'unknown message' });\n    }\n  })().catch(async error => {\n    await writeEvent('error', '后台处理失败', { type: message?.type, error: error.message });\n    reply({ ok: false, error: error.message });\n  });\n  return true;\n});\n"}}}}