{"repo": "banjito/active-website-software", "files": {"supabase/functions/generate-form-template/index.ts": {"2aeb17bb552d11757a33bf77cb9c8ab69b819d9b": {"t": 1785745596.3615165, "n": 9647, "h": "a546acb3d03f2287", "c": "/// <reference lib=\"dom\" />\n// @ts-ignore deno: types are resolved at runtime\nimport { serve } from \"https://deno.land/std@0.168.0/http/server.ts\";\n// Local TS linting shim (for non-Deno editors)\ndeclare const Deno: {\n  env: { get: (name: string) => string | undefined };\n};\n\nconst corsHeaders = {\n  \"Access-Control-Allow-Origin\": \"*\",\n  \"Access-Control-Allow-Headers\":\n    \"authorization, x-client-info, apikey, content-type\",\n};\n\n// DeepSeek (OpenAI-compatible API). \"deepseek-chat\" (V3) is fast + supports\n// JSON mode; switch to \"deepseek-reasoner\" (R1) for harder mapping — but note\n// the reasoner does NOT support response_format json_object, so drop that below.\nconst MODEL = \"deepseek-chat\";\nconst DEEPSEEK_URL = \"https://api.deepseek.com/chat/completions\";\n\n// ---------------------------------------------------------------------------\n// The template schema the model must emit. Kept in sync with\n// src/lib/types/customForms.ts — only the fields the builder actually reads.\n// ---------------------------------------------------------------------------\nconst SCHEMA = `You output a CustomFormTemplate. TypeScript shape of the fields you may use:\n\ninterface CustomFormTemplate {\n  name: string;               // report title, e.g. \"3-Set Low Voltage Cable Test Report (ATS)\"\n  description?: string;\n  netaSection?: string;       // e.g. \"7.3.3\"\n  structure: {\n    sections: SectionConfig[];\n    settings: { includePassFail: boolean; includeJobInfo: boolean; includePrintHeader: boolean; pageBreakAfterSection?: boolean };\n  };\n}\n\ninterface SectionConfig {\n  id: string;                 // unique slug, e.g. \"job-info\", \"electrical-tests\"\n  componentType: ComponentType;\n  title: string;\n  order: number;              // 0-based render order\n  showInPrint: boolean;       // almost always true\n  referenceCode?: string;     // short code used in formulas: JD (Job Details), ETI, VAM, TEU, COM, etc.\n  // table components:\n  columns?: ColumnConfig[];\n  rows?: number;\n  allowAddRows?: boolean;\n  allowRemoveRows?: boolean;\n  // single-field components (comments):\n  field?: FieldConfig;\n  // grouped-field components (nameplate / custom table label strip / test equipment):\n  fields?: FieldConfig[];\n  layout?: 'single-column'|'two-column'|'three-column'|'four-column'|'five-column'|'grid';\n  // visual & mechanical inspection:\n  checklistItems?: { id: string; netaSection?: string; description: string; resultOptions: string[] }[];\n}\n\ninterface ColumnConfig { id: string; label: string; field: FieldConfig; width?: string }\n\ninterface FieldConfig {\n  id: string;\n  label: string;\n  type: FieldType;\n  required?: boolean;\n  readOnly?: boolean;\n  options?: { label: string; value: string }[];      // for SELECT\n  unit?: string;\n  unitOptions?: string[];\n  cellBehavior?: 'user'|'populate'|'calculate';       // table cells\n  calculation?: { formula: string; dependsOn: string[] }; // when cellBehavior='calculate'\n}\n\nenum FieldType { TEXT='text', NUMBER='number', DATE='date', SELECT='select', TEXTAREA='textarea', CHECKBOX='checkbox', CALCULATED='calculated', TEMPERATURE_HUMIDITY='temperature-humidity' }\n\nComponentType is one of the ids given in the COMPONENT CATALOG below.`;\n\nconst INSTRUCTIONS = `You convert a hard-coded electrical test report (a React .tsx file) into a Custom Form Builder template (JSON).\n\nRules:\n1. Read the report source and reproduce its sections IN RENDER ORDER (the order of the <h2> headings / JSX blocks).\n2. Start with a Job Information section (componentType \"job-info\", referenceCode \"JD\") unless the report clearly has none. Use the catalog default for it.\n3. For every other section pick the CLOSEST componentType from the COMPONENT CATALOG. Use a catalog entry's defaultConfig as your starting point, then adapt titles/columns/rows/options to match the report. Only fall back to \"custom-table\" when nothing else fits (e.g. a label→value strip of nameplate/cable data: N columns, 1 row, allowAddRows/allowRemoveRows false).\n4. Reproduce dropdown options exactly from the report's *_OPTIONS arrays. Inspection result options usually are: Satisfactory, Unsatisfactory, Cleaned, See Comments, Not Applicable.\n5. Row counts: use the report's number of test sets/rows (Array.from({length:N}) / TOTAL_ROWS). Fixed tables set allowAddRows=false, allowRemoveRows=false.\n6. Temperature-corrected columns: set the reading columns first (positional order matters), then each corrected column uses cellBehavior \"calculate\" with calculation.formula referencing the reading column by position and the TCF, e.g. \"{ETI.C5}*{JD.tcf}\". {REF.Cn} = column n of the section with referenceCode REF (1-based). Lowercase {JD.tcf}.\n7. Always include a Test Equipment Used section (componentType \"test-equipment\") and a Comments section (componentType \"comments\") near the end if the report has them.\n8. Give every section a stable, unique kebab-case id and a unique referenceCode.\n\nOutput ONLY the JSON object for the CustomFormTemplate — no prose, no markdown fences, no commentary.`;\n\nserve(async (req) => {\n  if (req.method === \"OPTIONS\") {\n    return new Response(\"ok\", { headers: corsHeaders });\n  }\n\n  try {\n    if (req.method !== \"POST\") {\n      return json({ error: \"Method not allowed\" }, 405);\n    }\n\n    const apiKey = Deno.env.get(\"DEEPSEEK_API_KEY\");\n    if (!apiKey) throw new Error(\"DEEPSEEK_API_KEY is not set\");\n\n    const { reportName, reportSource, componentCatalog } = await req.json();\n    if (!reportSource || typeof reportSource !== \"string\") {\n      return json({ error: \"reportSource (string) is required\" }, 400);\n    }\n    if (!componentCatalog) {\n      return json({ error: \"componentCatalog is required\" }, 400);\n    }\n\n    const catalogText =\n      typeof componentCatalog === \"string\"\n        ? componentCatalog\n        : JSON.stringify(componentCatalog);\n\n    const userText = `Report file: ${reportName || \"unknown.tsx\"}\n\nCOMPONENT CATALOG (available componentTypes and their default configs):\n${catalogText}\n\nREPORT SOURCE:\n\\`\\`\\`tsx\n${reportSource}\n\\`\\`\\`\n\nGenerate the CustomFormTemplate JSON now.`;\n\n    const body = {\n      model: MODEL,\n      max_tokens: 8192, // deepseek-chat output ceiling\n      stream: true,\n      temperature: 0,\n      response_format: { type: \"json_object\" },\n      messages: [\n        { role: \"system\", content: `${INSTRUCTIONS}\\n\\n${SCHEMA}` },\n        { role: \"user\", content: userText },\n      ],\n    };\n\n    const resp = await fetch(DEEPSEEK_URL, {\n      method: \"POST\",\n      headers: {\n        Authorization: `Bearer ${apiKey}`,\n        \"content-type\": \"application/json\",\n      },\n      body: JSON.stringify(body),\n    });\n\n    if (!resp.ok || !resp.body) {\n      const errText = await resp.text();\n      console.error(\"DeepSeek API error:\", resp.status, errText);\n      return json(\n        { error: `DeepSeek API error (${resp.status})`, detail: errText },\n        502,\n      );\n    }\n\n    // Accumulate text_delta events from the SSE stream.\n    const rawText = await collectStreamedText(resp.body);\n    const template = parseTemplate(rawText);\n    if (!template) {\n      console.error(\"Could not parse template JSON. Raw head:\", rawText.slice(0, 500));\n      return json(\n        { error: \"Model did not return valid template JSON\", raw: rawText.slice(0, 2000) },\n        502,\n      );\n    }\n\n    return json({ template });\n  } catch (err) {\n    console.error(\"generate-form-template failed:\", err);\n    return json({ error: String((err as Error).message || err) }, 500);\n  }\n});\n\nfunction json(payload: unknown, status = 200): Response {\n  return new Response(JSON.stringify(payload), {\n    status,\n    headers: { ...corsHeaders, \"content-type\": \"application/json\" },\n  });\n}\n\n/** Read the DeepSeek (OpenAI-format) SSE stream and concatenate delta content. */\nasync function collectStreamedText(\n  stream: ReadableStream<Uint8Array>,\n): Promise<string> {\n  const reader = stream.getReader();\n  const decoder = new TextDecoder();\n  let buffer = \"\";\n  let out = \"\";\n\n  while (true) {\n    const { done, value } = await reader.read();\n    if (done) break;\n    buffer += decoder.decode(value, { stream: true });\n\n    // SSE events are separated by a blank line.\n    let sep;\n    while ((sep = buffer.indexOf(\"\\n\\n\")) !== -1) {\n      const event = buffer.slice(0, sep);\n      buffer = buffer.slice(sep + 2);\n      for (const line of event.split(\"\\n\")) {\n        const trimmed = line.trim();\n        if (!trimmed.startsWith(\"data:\")) continue;\n        const data = trimmed.slice(5).trim();\n        if (!data || data === \"[DONE]\") continue;\n        try {\n          const parsed = JSON.parse(data);\n          // Ignore reasoning_content (deepseek-reasoner) — keep only answer text.\n          const delta = parsed.choices?.[0]?.delta?.content;\n          if (typeof delta === \"string\") out += delta;\n        } catch {\n          // ignore keep-alive / non-JSON lines\n        }\n      }\n    }\n  }\n  return out;\n}\n\n/** Extract and parse the JSON template object from the model's raw output. */\nfunction parseTemplate(raw: string): Record<string, unknown> | null {\n  let text = raw.trim();\n  // Strip markdown fences if the model added them despite instructions.\n  const fence = text.match(/```(?:json)?\\s*([\\s\\S]*?)```/);\n  if (fence) text = fence[1].trim();\n  // Fall back to the first {...} span.\n  if (!text.startsWith(\"{\")) {\n    const first = text.indexOf(\"{\");\n    const last = text.lastIndexOf(\"}\");\n    if (first === -1 || last === -1) return null;\n    text = text.slice(first, last + 1);\n  }\n  try {\n    const obj = JSON.parse(text);\n    if (obj && typeof obj === \"object\" && obj.structure) return obj;\n    return null;\n  } catch {\n    return null;\n  }\n}\n"}, "ffff9250d6dd1af9378cccb87f60d605be87a0ba": {"t": 1785754615.2484007, "n": 9647, "h": "a546acb3d03f2287", "c": "/// <reference lib=\"dom\" />\n// @ts-ignore deno: types are resolved at runtime\nimport { serve } from \"https://deno.land/std@0.168.0/http/server.ts\";\n// Local TS linting shim (for non-Deno editors)\ndeclare const Deno: {\n  env: { get: (name: string) => string | undefined };\n};\n\nconst corsHeaders = {\n  \"Access-Control-Allow-Origin\": \"*\",\n  \"Access-Control-Allow-Headers\":\n    \"authorization, x-client-info, apikey, content-type\",\n};\n\n// DeepSeek (OpenAI-compatible API). \"deepseek-chat\" (V3) is fast + supports\n// JSON mode; switch to \"deepseek-reasoner\" (R1) for harder mapping — but note\n// the reasoner does NOT support response_format json_object, so drop that below.\nconst MODEL = \"deepseek-chat\";\nconst DEEPSEEK_URL = \"https://api.deepseek.com/chat/completions\";\n\n// ---------------------------------------------------------------------------\n// The template schema the model must emit. Kept in sync with\n// src/lib/types/customForms.ts — only the fields the builder actually reads.\n// ---------------------------------------------------------------------------\nconst SCHEMA = `You output a CustomFormTemplate. TypeScript shape of the fields you may use:\n\ninterface CustomFormTemplate {\n  name: string;               // report title, e.g. \"3-Set Low Voltage Cable Test Report (ATS)\"\n  description?: string;\n  netaSection?: string;       // e.g. \"7.3.3\"\n  structure: {\n    sections: SectionConfig[];\n    settings: { includePassFail: boolean; includeJobInfo: boolean; includePrintHeader: boolean; pageBreakAfterSection?: boolean };\n  };\n}\n\ninterface SectionConfig {\n  id: string;                 // unique slug, e.g. \"job-info\", \"electrical-tests\"\n  componentType: ComponentType;\n  title: string;\n  order: number;              // 0-based render order\n  showInPrint: boolean;       // almost always true\n  referenceCode?: string;     // short code used in formulas: JD (Job Details), ETI, VAM, TEU, COM, etc.\n  // table components:\n  columns?: ColumnConfig[];\n  rows?: number;\n  allowAddRows?: boolean;\n  allowRemoveRows?: boolean;\n  // single-field components (comments):\n  field?: FieldConfig;\n  // grouped-field components (nameplate / custom table label strip / test equipment):\n  fields?: FieldConfig[];\n  layout?: 'single-column'|'two-column'|'three-column'|'four-column'|'five-column'|'grid';\n  // visual & mechanical inspection:\n  checklistItems?: { id: string; netaSection?: string; description: string; resultOptions: string[] }[];\n}\n\ninterface ColumnConfig { id: string; label: string; field: FieldConfig; width?: string }\n\ninterface FieldConfig {\n  id: string;\n  label: string;\n  type: FieldType;\n  required?: boolean;\n  readOnly?: boolean;\n  options?: { label: string; value: string }[];      // for SELECT\n  unit?: string;\n  unitOptions?: string[];\n  cellBehavior?: 'user'|'populate'|'calculate';       // table cells\n  calculation?: { formula: string; dependsOn: string[] }; // when cellBehavior='calculate'\n}\n\nenum FieldType { TEXT='text', NUMBER='number', DATE='date', SELECT='select', TEXTAREA='textarea', CHECKBOX='checkbox', CALCULATED='calculated', TEMPERATURE_HUMIDITY='temperature-humidity' }\n\nComponentType is one of the ids given in the COMPONENT CATALOG below.`;\n\nconst INSTRUCTIONS = `You convert a hard-coded electrical test report (a React .tsx file) into a Custom Form Builder template (JSON).\n\nRules:\n1. Read the report source and reproduce its sections IN RENDER ORDER (the order of the <h2> headings / JSX blocks).\n2. Start with a Job Information section (componentType \"job-info\", referenceCode \"JD\") unless the report clearly has none. Use the catalog default for it.\n3. For every other section pick the CLOSEST componentType from the COMPONENT CATALOG. Use a catalog entry's defaultConfig as your starting point, then adapt titles/columns/rows/options to match the report. Only fall back to \"custom-table\" when nothing else fits (e.g. a label→value strip of nameplate/cable data: N columns, 1 row, allowAddRows/allowRemoveRows false).\n4. Reproduce dropdown options exactly from the report's *_OPTIONS arrays. Inspection result options usually are: Satisfactory, Unsatisfactory, Cleaned, See Comments, Not Applicable.\n5. Row counts: use the report's number of test sets/rows (Array.from({length:N}) / TOTAL_ROWS). Fixed tables set allowAddRows=false, allowRemoveRows=false.\n6. Temperature-corrected columns: set the reading columns first (positional order matters), then each corrected column uses cellBehavior \"calculate\" with calculation.formula referencing the reading column by position and the TCF, e.g. \"{ETI.C5}*{JD.tcf}\". {REF.Cn} = column n of the section with referenceCode REF (1-based). Lowercase {JD.tcf}.\n7. Always include a Test Equipment Used section (componentType \"test-equipment\") and a Comments section (componentType \"comments\") near the end if the report has them.\n8. Give every section a stable, unique kebab-case id and a unique referenceCode.\n\nOutput ONLY the JSON object for the CustomFormTemplate — no prose, no markdown fences, no commentary.`;\n\nserve(async (req) => {\n  if (req.method === \"OPTIONS\") {\n    return new Response(\"ok\", { headers: corsHeaders });\n  }\n\n  try {\n    if (req.method !== \"POST\") {\n      return json({ error: \"Method not allowed\" }, 405);\n    }\n\n    const apiKey = Deno.env.get(\"DEEPSEEK_API_KEY\");\n    if (!apiKey) throw new Error(\"DEEPSEEK_API_KEY is not set\");\n\n    const { reportName, reportSource, componentCatalog } = await req.json();\n    if (!reportSource || typeof reportSource !== \"string\") {\n      return json({ error: \"reportSource (string) is required\" }, 400);\n    }\n    if (!componentCatalog) {\n      return json({ error: \"componentCatalog is required\" }, 400);\n    }\n\n    const catalogText =\n      typeof componentCatalog === \"string\"\n        ? componentCatalog\n        : JSON.stringify(componentCatalog);\n\n    const userText = `Report file: ${reportName || \"unknown.tsx\"}\n\nCOMPONENT CATALOG (available componentTypes and their default configs):\n${catalogText}\n\nREPORT SOURCE:\n\\`\\`\\`tsx\n${reportSource}\n\\`\\`\\`\n\nGenerate the CustomFormTemplate JSON now.`;\n\n    const body = {\n      model: MODEL,\n      max_tokens: 8192, // deepseek-chat output ceiling\n      stream: true,\n      temperature: 0,\n      response_format: { type: \"json_object\" },\n      messages: [\n        { role: \"system\", content: `${INSTRUCTIONS}\\n\\n${SCHEMA}` },\n        { role: \"user\", content: userText },\n      ],\n    };\n\n    const resp = await fetch(DEEPSEEK_URL, {\n      method: \"POST\",\n      headers: {\n        Authorization: `Bearer ${apiKey}`,\n        \"content-type\": \"application/json\",\n      },\n      body: JSON.stringify(body),\n    });\n\n    if (!resp.ok || !resp.body) {\n      const errText = await resp.text();\n      console.error(\"DeepSeek API error:\", resp.status, errText);\n      return json(\n        { error: `DeepSeek API error (${resp.status})`, detail: errText },\n        502,\n      );\n    }\n\n    // Accumulate text_delta events from the SSE stream.\n    const rawText = await collectStreamedText(resp.body);\n    const template = parseTemplate(rawText);\n    if (!template) {\n      console.error(\"Could not parse template JSON. Raw head:\", rawText.slice(0, 500));\n      return json(\n        { error: \"Model did not return valid template JSON\", raw: rawText.slice(0, 2000) },\n        502,\n      );\n    }\n\n    return json({ template });\n  } catch (err) {\n    console.error(\"generate-form-template failed:\", err);\n    return json({ error: String((err as Error).message || err) }, 500);\n  }\n});\n\nfunction json(payload: unknown, status = 200): Response {\n  return new Response(JSON.stringify(payload), {\n    status,\n    headers: { ...corsHeaders, \"content-type\": \"application/json\" },\n  });\n}\n\n/** Read the DeepSeek (OpenAI-format) SSE stream and concatenate delta content. */\nasync function collectStreamedText(\n  stream: ReadableStream<Uint8Array>,\n): Promise<string> {\n  const reader = stream.getReader();\n  const decoder = new TextDecoder();\n  let buffer = \"\";\n  let out = \"\";\n\n  while (true) {\n    const { done, value } = await reader.read();\n    if (done) break;\n    buffer += decoder.decode(value, { stream: true });\n\n    // SSE events are separated by a blank line.\n    let sep;\n    while ((sep = buffer.indexOf(\"\\n\\n\")) !== -1) {\n      const event = buffer.slice(0, sep);\n      buffer = buffer.slice(sep + 2);\n      for (const line of event.split(\"\\n\")) {\n        const trimmed = line.trim();\n        if (!trimmed.startsWith(\"data:\")) continue;\n        const data = trimmed.slice(5).trim();\n        if (!data || data === \"[DONE]\") continue;\n        try {\n          const parsed = JSON.parse(data);\n          // Ignore reasoning_content (deepseek-reasoner) — keep only answer text.\n          const delta = parsed.choices?.[0]?.delta?.content;\n          if (typeof delta === \"string\") out += delta;\n        } catch {\n          // ignore keep-alive / non-JSON lines\n        }\n      }\n    }\n  }\n  return out;\n}\n\n/** Extract and parse the JSON template object from the model's raw output. */\nfunction parseTemplate(raw: string): Record<string, unknown> | null {\n  let text = raw.trim();\n  // Strip markdown fences if the model added them despite instructions.\n  const fence = text.match(/```(?:json)?\\s*([\\s\\S]*?)```/);\n  if (fence) text = fence[1].trim();\n  // Fall back to the first {...} span.\n  if (!text.startsWith(\"{\")) {\n    const first = text.indexOf(\"{\");\n    const last = text.lastIndexOf(\"}\");\n    if (first === -1 || last === -1) return null;\n    text = text.slice(first, last + 1);\n  }\n  try {\n    const obj = JSON.parse(text);\n    if (obj && typeof obj === \"object\" && obj.structure) return obj;\n    return null;\n  } catch {\n    return null;\n  }\n}\n"}}}}