{"repo": "annachen-coding/lash-booking-system", "files": {"vue-Lashes-project/supabase/functions/service-recommend/index.ts": {"52684d47f828b6e9c2389bc8af8cf1f9f2bae240": {"t": 1786067813.2034554, "n": 11366, "h": "5ec8216f41a79e5d", "c": "/**\n * Edge Function：根据顾客自然语言描述，调用 **DeepSeek**（OpenAI 兼容 Chat Completions）推荐一项店内服务。\n * 使用 `response_format: { type: \"json_object\" }`；服务端仍按 JSON Schema 规则做严格校验。\n *\n * 部署（在项目根目录）：\n *   supabase secrets set DEEPSEEK_API_KEY=sk-...\n *   supabase functions deploy service-recommend\n *\n * Secrets / 环境变量：\n *   DEEPSEEK_API_KEY（必填）\n *   DEEPSEEK_MODEL（可选，默认 deepseek-chat）\n *   DEEPSEEK_API_BASE_URL（可选，默认 https://api.deepseek.com，勿尾斜杠）\n *\n * 与前端 `src/data/services.ts` 中的 name 保持一致；修改菜单时请同步更新下方列表与 JSON Schema enum。\n */\n\ntype Body = {\n  prompt?: string\n}\n\n/** 返回给前端的稳定契约（与 src/utils/serviceAiRecommend.ts 对齐） */\ntype OkResponse = {\n  schemaVersion: '1.0'\n  serviceName: string\n  category: 'nails' | 'lashes'\n  confidence: 'high' | 'medium' | 'low'\n  responseLanguage: 'zh' | 'en' | 'mixed'\n  summary: string\n  supportingPoints: string[]\n  /** 纯文本拼接，便于搜索/复制 */\n  why: string\n}\n\nconst corsHeaders: Record<string, string> = {\n  'Access-Control-Allow-Origin': '*',\n  'Access-Control-Allow-Headers':\n    'authorization, x-client-info, apikey, content-type',\n}\n\n/** 必须与 src/data/services.ts 的 `name` 完全一致 */\nconst ALLOWED_SERVICES = [\n  'Classic Manicure',\n  'Gel Manicure',\n  'Nail Extension',\n  'Classic Lash Extensions',\n  'Hybrid Lash Extensions',\n  'Lash Lift',\n] as const\n\nconst SERVICE_CATEGORY: Record<(typeof ALLOWED_SERVICES)[number], 'nails' | 'lashes'> = {\n  'Classic Manicure': 'nails',\n  'Gel Manicure': 'nails',\n  'Nail Extension': 'nails',\n  'Classic Lash Extensions': 'lashes',\n  'Hybrid Lash Extensions': 'lashes',\n  'Lash Lift': 'lashes',\n}\n\nconst SERVICE_CONTEXT = `Catalog (serviceName must be exactly one of these strings):\n- Classic Manicure (nails): clean shaping, cuticles, classic polish; everyday neat look.\n- Gel Manicure (nails): chip-resistant glossy gel, longer-lasting than regular polish.\n- Nail Extension (nails): added length and sculpted shape for a bolder nail line.\n- Classic Lash Extensions (lashes): one-by-one extensions, soft and natural for daily wear.\n- Hybrid Lash Extensions (lashes): mix of classic + volume fans; fuller but still balanced.\n- Lash Lift (lashes): lifts and curls natural lashes; no lash extensions attached.`\n\n/** 目标 JSON 形状（写入 system 提示 + 服务端校验）；DeepSeek 使用 json_object 而非 API 内 json_schema */\nconst RECOMMENDATION_JSON_SCHEMA = {\n  type: 'object',\n  additionalProperties: false,\n  properties: {\n    schema_version: {\n      type: 'string',\n      enum: ['1.0'],\n    },\n    serviceName: {\n      type: 'string',\n      enum: [...ALLOWED_SERVICES],\n    },\n    confidence: {\n      type: 'string',\n      enum: ['high', 'medium', 'low'],\n    },\n    responseLanguage: {\n      type: 'string',\n      enum: ['zh', 'en', 'mixed'],\n    },\n    summary: {\n      type: 'string',\n      minLength: 40,\n      maxLength: 600,\n    },\n    supportingPoints: {\n      type: 'array',\n      minItems: 2,\n      maxItems: 4,\n      items: {\n        type: 'string',\n        minLength: 10,\n        maxLength: 220,\n      },\n    },\n  },\n  required: [\n    'schema_version',\n    'serviceName',\n    'confidence',\n    'responseLanguage',\n    'summary',\n    'supportingPoints',\n  ],\n} as const\n\nfunction coerceServiceName(raw: string): (typeof ALLOWED_SERVICES)[number] {\n  const t = raw.trim()\n  const exact = ALLOWED_SERVICES.find((s) => s === t)\n  if (exact) return exact\n  const ci = ALLOWED_SERVICES.find((s) => s.toLowerCase() === t.toLowerCase())\n  if (ci) return ci\n  const loose = ALLOWED_SERVICES.find(\n    (s) =>\n      t.toLowerCase().includes(s.toLowerCase()) ||\n      s.toLowerCase().includes(t.toLowerCase())\n  )\n  return loose ?? 'Classic Lash Extensions'\n}\n\ntype ModelPayload = {\n  schema_version?: string\n  serviceName?: string\n  confidence?: string\n  responseLanguage?: string\n  summary?: string\n  supportingPoints?: unknown\n}\n\nfunction isConfidence(v: string): v is OkResponse['confidence'] {\n  return v === 'high' || v === 'medium' || v === 'low'\n}\n\nfunction isResponseLanguage(v: string): v is OkResponse['responseLanguage'] {\n  return v === 'zh' || v === 'en' || v === 'mixed'\n}\n\nfunction normalizePayload(raw: ModelPayload): OkResponse | null {\n  if (raw.schema_version !== '1.0') return null\n  const serviceName = coerceServiceName(typeof raw.serviceName === 'string' ? raw.serviceName : '')\n  const conf = typeof raw.confidence === 'string' ? raw.confidence : ''\n  const lang = typeof raw.responseLanguage === 'string' ? raw.responseLanguage : ''\n  const summary = typeof raw.summary === 'string' ? raw.summary.trim() : ''\n  if (!isConfidence(conf) || !isResponseLanguage(lang) || summary.length < 40) return null\n\n  if (!Array.isArray(raw.supportingPoints)) return null\n  const points = raw.supportingPoints.filter(\n    (p): p is string => typeof p === 'string' && p.trim().length >= 10\n  )\n  if (points.length < 2 || points.length > 4) return null\n\n  const category = SERVICE_CATEGORY[serviceName]\n  const why =\n    `${summary}\\n\\n` +\n    points\n      .map((p, i) => `${i + 1}. ${p.trim()}`)\n      .join('\\n')\n\n  return {\n    schemaVersion: '1.0',\n    serviceName,\n    category,\n    confidence: conf,\n    responseLanguage: lang,\n    summary,\n    supportingPoints: points.map((p) => p.trim()),\n    why,\n  }\n}\n\ntype ChatCompletionResponse = {\n  choices?: Array<{\n    message?: { content?: string | null; refusal?: string | null }\n    finish_reason?: string\n  }>\n  error?: { message?: string; type?: string }\n}\n\nfunction stripMarkdownCodeFence(raw: string): string {\n  let t = raw.trim()\n  if (t.startsWith('```')) {\n    t = t.replace(/^```(?:json)?\\s*/i, '').replace(/\\s*```$/i, '')\n  }\n  return t.trim()\n}\n\nfunction buildDeepSeekSystemPrompt(): string {\n  const schemaJson = JSON.stringify(RECOMMENDATION_JSON_SCHEMA, null, 2)\n  return `You are a beauty salon assistant. Recommend exactly ONE service from the catalog.\n\n${SERVICE_CONTEXT}\n\nYou MUST reply with a single JSON object only (no markdown fences, no extra text). The word json is required by the API.\n\nThe JSON object MUST:\n- Use exactly these property names: schema_version, serviceName, confidence, responseLanguage, summary, supportingPoints\n- Match this JSON Schema (types, enums, lengths, array size):\n${schemaJson}\n\nRules:\n- schema_version must be \"1.0\"\n- serviceName must be copied exactly from the allowed catalog names\n- summary: 2–4 sentences in the customer's primary language (Chinese if they wrote mostly Chinese; English otherwise); length at least 40 characters\n- supportingPoints: 2–4 distinct short strings (each at least 10 characters); add new information (fit, lifestyle, maintenance)—do not repeat the summary\n- confidence: high when the request clearly maps to one service; low when ambiguous\n- responseLanguage: zh, en, or mixed according to the customer's message`\n}\n\nDeno.serve(async (req: Request): Promise<Response> => {\n  if (req.method === 'OPTIONS') {\n    return new Response('ok', { headers: corsHeaders })\n  }\n\n  if (req.method !== 'POST') {\n    return new Response(JSON.stringify({ error: 'Method not allowed' }), {\n      status: 405,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  }\n\n  let body: Body = {}\n  try {\n    const text = await req.text()\n    if (!text.trim()) {\n      return new Response(JSON.stringify({ error: 'Empty body' }), {\n        status: 400,\n        headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n      })\n    }\n    body = JSON.parse(text) as Body\n  } catch (e) {\n    const msg = e instanceof Error ? e.message : String(e)\n    return new Response(JSON.stringify({ error: `Invalid JSON: ${msg}` }), {\n      status: 400,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  }\n\n  const prompt = typeof body.prompt === 'string' ? body.prompt.trim() : ''\n  if (!prompt) {\n    return new Response(JSON.stringify({ error: 'Missing prompt' }), {\n      status: 400,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  }\n\n  const apiKey = Deno.env.get('DEEPSEEK_API_KEY')?.trim()\n  if (!apiKey) {\n    return new Response(JSON.stringify({ error: 'DEEPSEEK_API_KEY is not configured' }), {\n      status: 500,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  }\n\n  const model = Deno.env.get('DEEPSEEK_MODEL')?.trim() || 'deepseek-chat'\n  const baseUrl = (Deno.env.get('DEEPSEEK_API_BASE_URL')?.trim() || 'https://api.deepseek.com').replace(\n    /\\/$/,\n    ''\n  )\n  const url = `${baseUrl}/chat/completions`\n\n  const systemPrompt = buildDeepSeekSystemPrompt()\n\n  try {\n    const res = await fetch(url, {\n      method: 'POST',\n      headers: {\n        Authorization: `Bearer ${apiKey}`,\n        'Content-Type': 'application/json',\n      },\n      body: JSON.stringify({\n        model,\n        messages: [\n          { role: 'system', content: systemPrompt },\n          { role: 'user', content: `Customer request:\\n${prompt}` },\n        ],\n        response_format: { type: 'json_object' },\n        temperature: 0.35,\n        max_tokens: 1200,\n      }),\n    })\n\n    const raw = await res.text()\n    if (!res.ok) {\n      console.error('[service-recommend] DeepSeek HTTP', res.status, raw)\n      return new Response(\n        JSON.stringify({ error: `DeepSeek error (${res.status})` }),\n        {\n          status: 502,\n          headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n        }\n      )\n    }\n\n    let completion: ChatCompletionResponse\n    try {\n      completion = JSON.parse(raw) as ChatCompletionResponse\n    } catch {\n      return new Response(JSON.stringify({ error: 'Invalid DeepSeek response' }), {\n        status: 502,\n        headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n      })\n    }\n\n    if (completion.error?.message) {\n      return new Response(\n        JSON.stringify({ error: completion.error.message }),\n        {\n          status: 502,\n          headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n        }\n      )\n    }\n\n    const rawContent = completion.choices?.[0]?.message?.content\n    const content =\n      typeof rawContent === 'string' && rawContent.trim()\n        ? stripMarkdownCodeFence(rawContent)\n        : ''\n\n    if (!content) {\n      console.error('[service-recommend] empty content', completion.choices?.[0]?.finish_reason)\n      return new Response(JSON.stringify({ error: 'Empty model output' }), {\n        status: 502,\n        headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n      })\n    }\n\n    let parsed: ModelPayload\n    try {\n      parsed = JSON.parse(content) as ModelPayload\n    } catch {\n      return new Response(JSON.stringify({ error: 'Model output was not valid JSON' }), {\n        status: 502,\n        headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n      })\n    }\n\n    const out = normalizePayload(parsed)\n    if (!out) {\n      return new Response(JSON.stringify({ error: 'Model JSON failed server validation' }), {\n        status: 502,\n        headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n      })\n    }\n\n    return new Response(JSON.stringify(out), {\n      status: 200,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  } catch (e) {\n    const msg = e instanceof Error ? e.message : String(e)\n    console.error('[service-recommend]', msg)\n    return new Response(JSON.stringify({ error: msg }), {\n      status: 500,\n      headers: { ...corsHeaders, 'Content-Type': 'application/json' },\n    })\n  }\n})\n"}}}}