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260307:1319 20260307:1300 fix n8n workflow project_id, issued_date and received_date
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admin
2026-03-07 13:19:03 +07:00
parent 65a758298a
commit e70fc95fa0
5 changed files with 1250 additions and 11 deletions
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specs/03-Data-and-Storage/n8n.workflow.json
+206 -9
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@@ -15,7 +15,7 @@
},
{
"parameters": {
"jsCode": "// ============================================\n// CONFIGURATION - แก้ไขค่าที่นี่\n// ============================================\nconst CONFIG = {\n // Ollama Settings\n OLLAMA_HOST: 'http://192.168.20.100:11434',\n OLLAMA_MODEL_PRIMARY: 'llama3.2:3b',\n OLLAMA_MODEL_FALLBACK: 'mistral:7b-instruct-q4_K_M',\n \n // Backend Settings\n BACKEND_URL: 'https://backend.np-dms.work',\n MIGRATION_TOKEN: 'Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6Im1pZ3JhdGlvbl9ib3QiLCJzdWIiOjUsInNjb3BlIjoiR2xvYmFsIiwiaWF0IjoxNzcyNzc0MzI5LCJleHAiOjQ5Mjg1MzQzMjl9.TtA8zoHy7G9J5jPgYQPv7yw-9X--B_hl-Nv-c9V4PaA',\n \n // Batch Settings\n BATCH_SIZE: 10,\n BATCH_ID: 'migration_20260226',\n DELAY_MS: 2000,\n \n // Thresholds\n CONFIDENCE_HIGH: 0.85,\n CONFIDENCE_LOW: 0.60,\n MAX_RETRY: 3,\n FALLBACK_THRESHOLD: 5,\n \n // Source Definitions - แก้ไขโฟลเดอร์และไฟล์ทำงานที่นี่\n EXCEL_FILE: '/home/node/.n8n-files/staging_ai/C22024.xlsx',\n SOURCE_PDF_DIR: '/home/node/.n8n-files/staging_ai/Incoming/08C.2/2567',\n LOG_PATH: '/home/node/.n8n-files/migration_logs',\n \n // Database\n DB_HOST: '192.168.10.8',\n DB_PORT: 3306,\n DB_NAME: 'lcbp3',\n DB_USER: 'migration_bot',\n DB_PASSWORD: 'Center2025'\n};\n\nreturn [{ json: { config_loaded: true, timestamp: new Date().toISOString(), config: CONFIG } }];"
"jsCode": "// ============================================\n// CONFIGURATION - แก้ไขค่าที่นี่\n// ============================================\nconst CONFIG = {\n // Ollama Settings\n OLLAMA_HOST: 'http://192.168.20.100:11434',\n OLLAMA_MODEL_PRIMARY: 'llama3.2:3b',\n OLLAMA_MODEL_FALLBACK: 'mistral:7b-instruct-q4_K_M',\n \n // Backend Settings\n BACKEND_URL: 'https://backend.np-dms.work',\n MIGRATION_TOKEN: 'Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VybmFtZSI6Im1pZ3JhdGlvbl9ib3QiLCJzdWIiOjUsInNjb3BlIjoiR2xvYmFsIiwiaWF0IjoxNzcyNzc0MzI5LCJleHAiOjQ5Mjg1MzQzMjl9.TtA8zoHy7G9J5jPgYQPv7yw-9X--B_hl-Nv-c9V4PaA',\n \n // Batch Settings\n BATCH_SIZE: 5,\n BATCH_ID: 'migration_20260226',\n DELAY_MS: 2000,\n \n // Thresholds\n CONFIDENCE_HIGH: 0.85,\n CONFIDENCE_LOW: 0.60,\n MAX_RETRY: 3,\n FALLBACK_THRESHOLD: 5,\n \n // Source Definitions - แก้ไขโฟลเดอร์และไฟล์ทำงานที่นี่\n EXCEL_FILE: '/home/node/.n8n-files/staging_ai/C22024.xlsx',\n SOURCE_PDF_DIR: '/home/node/.n8n-files/staging_ai/Incoming/08C.2/2567',\n LOG_PATH: '/home/node/.n8n-files/migration_logs',\n \n // Database\n DB_HOST: '192.168.10.8',\n DB_PORT: 3306,\n DB_NAME: 'lcbp3',\n DB_USER: 'migration_bot',\n DB_PASSWORD: 'Center2025',\n PROJECT_ID: 1\n};\n\nreturn [{ json: { config_loaded: true, timestamp: new Date().toISOString(), config: CONFIG } }];"
},
"id": "bc8c9b9d-284d-4ce5-b7ff-d5b4bb36e748",
"name": "Set Configuration",
@@ -166,7 +166,7 @@
},
{
"parameters": {
"jsCode": "const cpJson = $input.first()?.json || {};\nconst startIndex = cpJson.last_processed_index || 0;\nconst config = $('Set Configuration').first().json.config;\n\nconst allItems = $('Read Excel').all().map(i => i.json);\nconst remaining = allItems.slice(startIndex);\nconst currentBatch = remaining.slice(0, config.BATCH_SIZE);\n\n// Encoding Normalization\nconst normalize = (str) => {\n if (!str) return '';\n return String(str).normalize('NFC').trim();\n};\n\nreturn currentBatch.map((item, i) => {\n const docNum = item.document_number || item['Document Number'] || item['Corr. No.'];\n // Use File name from Excel directly - must exist\n const excelFileName = item['File name'] || item.file_name || item['File Name'] || item.filename;\n if (!excelFileName) {\n throw new Error(`Missing 'File name' column for row ${i + startIndex + 1}, document: ${docNum}`);\n }\n const fileName = normalize(excelFileName);\n return {\n json: {\n document_number: normalize(docNum),\n title: normalize(item.title || item.Title || item['Subject']),\n legacy_number: normalize(item.legacy_number || item['Legacy Number'] || item['Response Doc.'] || ''),\n excel_revision: item.revision || item.Revision || item.rev || 1,\n original_index: startIndex + i,\n batch_id: config.BATCH_ID,\n file_name: fileName\n }\n };\n});"
"jsCode": "const cpJson = $input.first()?.json || {};\nconst startIndex = cpJson.last_processed_index || 0;\nconst config = $('Set Configuration').first().json.config;\n\nconst allItems = $('Read Excel').all().map(i => i.json);\nconst remaining = allItems.slice(startIndex);\nconst currentBatch = remaining.slice(0, config.BATCH_SIZE);\n\n// Encoding Normalization\nconst normalize = (str) => {\n if (!str) return '';\n return String(str).normalize('NFC').trim();\n};\n\nreturn currentBatch.map((item, i) => {\n const docNum = item.document_number || item['Document Number'] || item['Corr. No.'];\n // Use File name from Excel directly - must exist\n const excelFileName = item['File name'] || item.file_name || item['File Name'] || item.filename;\n if (!excelFileName) {\n throw new Error(`Missing 'File name' column for row ${i + startIndex + 1}, document: ${docNum}`);\n }\n const fileName = normalize(excelFileName);\n return {\n json: {\n document_number: normalize(docNum),\n title: normalize(item.title || item.Title || item['Subject']),\n legacy_number: normalize(item.legacy_number || item['Legacy Number'] || item['Response Doc.'] || ''),\n excel_revision: item.revision || item.Revision || item.rev || 1,\n original_index: startIndex + i,\n batch_id: config.BATCH_ID,\n file_name: fileName,\n issued_date: normalize(item.issued_date || item['Issued Date'] || item.date || item.Date || item.document_date || item.Document_Date),\n received_date: normalize(item.received_date || item['Received Date'] || item.receive || item.Receive)\n }\n };\n});"
},
"id": "49c98c75-456b-4a1d-a203-a5b2bf19fd15",
"name": "Process Batch + Encoding",
@@ -219,7 +219,7 @@
},
{
"parameters": {
"jsCode": "const config = $('Set Configuration').first().json.config;\nconst fallbackState = $input.first().json[0] || { is_fallback_active: false, recent_error_count: 0 };\n\nconst isFallback = fallbackState.is_fallback_active || false;\nconst model = isFallback ? config.OLLAMA_MODEL_FALLBACK : config.OLLAMA_MODEL_PRIMARY;\n\n// Safely pull categories from the first Check node\nlet systemCategories = ['Correspondence','RFA','Drawing','Transmittal','Report','Other'];\ntry { systemCategories = $('File Mount Check').first().json.system_categories || systemCategories; } catch (e) {}\n\nconst items = $('File Validator').all();\n\nreturn items.map(item => {\n const systemPrompt = `You are a Document Controller for a large construction project.\nYour task is to validate document metadata and suggest relevant tags.\nYou MUST respond ONLY with valid JSON. No explanation, no markdown, no extra text.\nIf there are no issues, \"detected_issues\" must be an empty array [].`;\n\n const userPrompt = `Validate this document metadata and respond in JSON:\n\nDocument Number: ${item.json.document_number}\nTitle: ${item.json.title}\nExpected Pattern: [ORG]-[TYPE]-[SEQ] e.g. \"TCC-COR-0001\"\nCategory List (MUST match system enum exactly): ${JSON.stringify(systemCategories)}\n\nAnalyze the document and suggest relevant tags based on:\n1. Document content/title keywords (e.g., \"Foundation\", \"Structure\", \"Electrical\", \"Safety\")\n2. Document type indicators (e.g., \"Drawing\", \"Report\", \"Inspection\")\n3. Organization codes present in document number\n4. Any discipline or phase indicators\n\nRespond ONLY with this exact JSON structure:\n{\n \"is_valid\": true | false,\n \"confidence\": 0.0 to 1.0,\n \"suggested_category\": \"<one from Category List>\",\n \"detected_issues\": [\"<issue1>\"],\n \"suggested_title\": \"<corrected title or null>\",\n \"suggested_tags\": [\"<tag1>\", \"<tag2>\"],\n \"tag_confidence\": 0.0 to 1.0\n}`;\n\n return {\n json: {\n ...item.json,\n active_model: model,\n is_fallback: isFallback,\n system_categories: systemCategories,\n ollama_payload: {\n model: model,\n prompt: `${systemPrompt}\\n\\n${userPrompt}`,\n stream: false,\n format: 'json'\n }\n }\n };\n});"
"jsCode": "const config = $('Set Configuration').first().json.config;\nconst fallbackState = $input.first().json[0] || { is_fallback_active: false, recent_error_count: 0 };\n\nconst isFallback = fallbackState.is_fallback_active || false;\nconst model = isFallback ? config.OLLAMA_MODEL_FALLBACK : config.OLLAMA_MODEL_PRIMARY;\n\n// Safely pull categories from the first Check node\nlet systemCategories = ['Correspondence','RFA','Drawing','Transmittal','Report','Other'];\ntry { systemCategories = $('File Mount Check').first().json.system_categories || systemCategories; } catch (e) {}\n\nconst items = $('Extract PDF Text').all();\n\nreturn items.map(item => {\n const docNum = String(item.json.document_number || '');\n const isRFA = docNum.includes('-RFA-') || String(item.json.title || '').toLowerCase().includes('rfa');\n \n const systemPrompt = `You are an expert Document Controller for a large construction project (LCBP3).\nYour task is to classify documents and extract precise metadata for the Document Management System.\nYou MUST respond ONLY with valid JSON. No explanation, no markdown.`;\n\n const pdfText = String(item.json.text || '').substring(0, 3000).replace(/[^a-zA-Z0-9ก-๙\\s\\./]/g, ' ');\n const userPrompt = `Analyze this document metadata:\nDocument Number: ${item.json.document_number}\nTitle: ${item.json.title}\nLegacy Number: ${item.json.legacy_number}\n\nRules:\n1. Category must be one of: ${JSON.stringify(systemCategories)}\n2. If Document Number contains \"-RFA-\", suggest_category MUST be \"RFA\".\n3. For RFA, extract:\n - \"ref_no\": Reference number if mentioned in title/legacy.\n - \"response_to\": If this is a response to another document.\n4. For Letters (Correspondence), identify:\n - \"from_org\": Sending organization (e.g., TCC, CNNC).\n - \"to_org\": Receiving organization.\n\nRespond ONLY with this JSON structure:\n{\n \"is_valid\": true,\n \"confidence\": 0.95,\n \"suggested_category\": \"${isRFA ? 'RFA' : 'Correspondence'}\",\n \"detected_issues\": [],\n \"suggested_title\": null,\n \"suggested_tags\": [\"Construction\", \"${isRFA ? 'Request' : 'Letter'}\"],\n \"metadata\": {\n \"ref_no\": null,\n \"response_to\": null,\n \"from_org\": null,\n \"to_org\": null,\n \"body\": null\n }\n}`;\n\n return {\n json: {\n ...item.json,\n active_model: model,\n is_fallback: isFallback,\n system_categories: systemCategories,\n ollama_payload: {\n model: model,\n prompt: `${systemPrompt}\\n\\n${userPrompt}`,\n stream: false,\n format: 'json'\n }\n }\n };\n});"
},
"id": "9f82950f-7533-4cbd-8e1e-8e441c1cb2a5",
"name": "Build AI Prompt",
@@ -254,7 +254,7 @@
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst parsed = [];\nconst parseErrors = [];\n\nfor (const item of items) {\n try {\n let raw = item.json.response || '';\n \n // Clean markdown\n raw = raw.replace(/```json/gi, '').replace(/```/g, '').trim();\n const result = JSON.parse(raw);\n \n // Schema Validation\n if (typeof result.is_valid !== 'boolean') throw new Error('is_valid must be boolean');\n if (typeof result.confidence !== 'number' || result.confidence < 0 || result.confidence > 1) {\n throw new Error('confidence must be float 0.0-1.0');\n }\n if (!Array.isArray(result.detected_issues)) throw new Error('detected_issues must be array');\n \n // Tag Validation - ensure suggested_tags is an array\n if (!Array.isArray(result.suggested_tags)) {\n result.suggested_tags = [];\n }\n // Normalize tags: trim, lowercase, remove duplicates\n result.suggested_tags = [...new Set(result.suggested_tags.map(t => String(t).trim()).filter(t => t.length > 0))];\n \n // Tag confidence validation\n if (typeof result.tag_confidence !== 'number' || result.tag_confidence < 0 || result.tag_confidence > 1) {\n result.tag_confidence = 0.5; // default if missing or invalid\n }\n \n // Enum Validation\n const systemCategories = item.json.system_categories || [];\n if (!systemCategories.includes(result.suggested_category)) {\n throw new Error(`Category \"${result.suggested_category}\" not in system enum`);\n }\n \n parsed.push({\n ...item,\n json: { ...item.json, ai_result: result, parse_error: null }\n });\n } catch (err) {\n parseErrors.push({\n ...item,\n json: {\n ...item.json,\n ai_result: null,\n parse_error: err.message,\n raw_ai_response: item.json.response,\n error_type: 'AI_PARSE_ERROR'\n }\n });\n }\n}\n\nreturn [parsed.length > 0 ? parsed : [{ json: { _placeholder: true } }], parseErrors.length > 0 ? parseErrors : [{ json: { _placeholder: true } }]];"
"jsCode": "const items = $input.all();\nconst results = [];\n\nfor (const item of items) {\n try {\n let raw = item.json.response || '';\n \n // Clean markdown and whitespace\n raw = raw.replace(/```json/gi, '').replace(/```/g, '').trim();\n if (!raw) throw new Error('Empty response from AI');\n\n const result = JSON.parse(raw);\n \n // Metadata mapping & normalization\n const meta = result.metadata || {};\n const metadata = {\n ref_no: String(meta.ref_no || '').trim() || null,\n response_to: String(meta.response_to || '').trim() || null,\n from_org: String(meta.from_org || '').trim() || null,\n to_org: String(meta.to_org || '').trim() || null,\n body: String(result.body || meta.body || '').trim() || null\n };\n \n // Tag Validation\n let tags = Array.isArray(result.suggested_tags) ? result.suggested_tags : [];\n tags = [...new Set(tags.map(t => String(t).trim()).filter(t => t.length > 0))];\n \n // Enum Validation for Category\n const systemCategories = item.json.system_categories || [];\n let finalCategory = result.suggested_category;\n if (!systemCategories.includes(finalCategory)) {\n finalCategory = String(item.json.document_number || '').includes('-RFA-') ? 'RFA' : 'Correspondence';\n }\n \n const d_issued = item.json.issued_date || null;\n const d_received = item.json.received_date || d_issued;\n results.push({\n json: { \n ...item.json, \n ai_result: { ...result, suggested_category: finalCategory, suggested_tags: tags, body: result.body || meta.body || null }, \n metadata: metadata,\n issued_date: d_issued,\n received_date: d_received,\n parse_error: null \n }\n });\n } catch (err) {\n results.push({\n json: {\n ...item.json,\n ai_result: null,\n parse_error: err.message,\n raw_ai_response: item.json.response,\n error_type: 'AI_PARSE_ERROR'\n }\n });\n }\n}\n\nreturn results;"
},
"id": "281dc950-a3b6-4412-a0b4-76663b8c37ea",
"name": "Parse & Validate AI Response",
@@ -290,7 +290,7 @@
},
{
"parameters": {
"jsCode": "const config = $('Set Configuration').first().json.config;\nconst items = $('Parse & Validate AI Response').all();\n\nconst autoIngest = [];\nconst reviewQueue = [];\nconst rejectLog = [];\nconst errorLog = [];\n\nfor (const item of items) {\n if (item.json.parse_error || !item.json.ai_result) {\n errorLog.push(item);\n continue;\n }\n \n const ai = item.json.ai_result;\n \n // Revision Drift Protection (ถ้ามีข้อมูลจาก DB)\n if (item.json.current_db_revision !== undefined) {\n const expectedRev = item.json.current_db_revision + 1;\n if (parseInt(item.json.excel_revision) !== expectedRev) {\n reviewQueue.push({\n ...item,\n json: { ...item.json, review_reason: `Revision drift: Excel=${item.json.excel_revision}, Expected=${expectedRev}` }\n });\n continue;\n }\n }\n \n // Confidence Routing\n if (ai.confidence >= config.CONFIDENCE_HIGH && ai.is_valid === true) {\n autoIngest.push(item);\n } else if (ai.confidence >= config.CONFIDENCE_LOW) {\n reviewQueue.push({\n ...item,\n json: { ...item.json, review_reason: `Confidence ${ai.confidence.toFixed(2)} < ${config.CONFIDENCE_HIGH}` }\n });\n } else {\n rejectLog.push({\n ...item,\n json: { ...item.json, reject_reason: ai.is_valid === false ? 'AI marked invalid' : `Confidence ${ai.confidence.toFixed(2)} < ${config.CONFIDENCE_LOW}` }\n });\n }\n}\n\n// Output 0: Auto, 1: Review, 2: Reject, 3: Error\nreturn [autoIngest, reviewQueue, rejectLog, errorLog];"
"jsCode": "const config = $('Set Configuration').first().json.config;\nconst items = $('Parse & Validate AI Response').all();\n\nconst results = [];\n\nfor (const item of items) {\n const data = item.json;\n \n // Base structure ensuring we keep all existing data\n let resultItem = { json: { ...data } };\n \n // Handle Parse Errors from upstream\n if (data.parse_error || !data.ai_result) {\n resultItem.json.route_index = 3;\n results.push(resultItem);\n continue;\n }\n \n const ai = data.ai_result;\n \n // Revision Drift Protection\n if (data.current_db_revision !== undefined) {\n const expectedRev = data.current_db_revision + 1;\n if (parseInt(data.excel_revision) !== expectedRev) {\n resultItem.json.review_reason = `Revision drift: Excel=${data.excel_revision}, Expected=${expectedRev}`;\n resultItem.json.route_index = 1;\n results.push(resultItem);\n continue;\n }\n }\n \n // Confidence Routing\n if (ai.confidence >= config.CONFIDENCE_HIGH && ai.is_valid === true) {\n resultItem.json.route_index = 0;\n } else if (ai.confidence >= config.CONFIDENCE_LOW) {\n resultItem.json.review_reason = `Confidence ${ai.confidence.toFixed(2)} < ${config.CONFIDENCE_HIGH}`;\n resultItem.json.route_index = 1;\n } else {\n resultItem.json.reject_reason = ai.is_valid === false ? 'AI marked invalid' : `Confidence ${ai.confidence.toFixed(2)} < ${config.CONFIDENCE_LOW}`;\n resultItem.json.route_index = 2;\n }\n results.push(resultItem);\n}\n\nreturn results;"
},
"id": "897dfc43-9f4f-4a9b-8727-64f3483ac56a",
"name": "Confidence Router",
@@ -321,7 +321,7 @@
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"document_number\": \"{{$json.document_number}}\",\n \"title\": \"{{$json.ai_result.suggested_title || $json.title}}\",\n \"category\": \"{{$json.ai_result.suggested_category}}\",\n \"source_file_path\": \"{{$json.file_path}}\",\n \"ai_confidence\": {{$json.ai_result.confidence}},\n \"ai_issues\": {{JSON.stringify($json.ai_result.detected_issues)}},\n \"ai_tags\": {{JSON.stringify($json.ai_result.suggested_tags || [])}},\n \"tag_confidence\": {{$json.ai_result.tag_confidence || 0}},\n \"migrated_by\": \"SYSTEM_IMPORT\",\n \"batch_id\": \"{{$('Set Configuration').first().json.config.BATCH_ID}}\",\n \"details\": {\n \"legacy_number\": \"{{$json.legacy_number}}\"\n }\n}",
"jsonBody": "={\n \"document_number\": \"{{$json.document_number}}\",\n \"title\": \"{{$json.ai_result.suggested_title || $json.title}}\",\n \"category\": \"{{$json.ai_result.suggested_category}}\",\n \"source_file_path\": \"{{$json.file_path}}\",\n \"ai_confidence\": {{$json.ai_result.confidence}},\n \"ai_issues\": {{JSON.stringify($json.ai_result.detected_issues || [])}},\n \"migrated_by\": \"SYSTEM_IMPORT\",\n \"batch_id\": \"{{$('Set Configuration').first().json.config.BATCH_ID}}\",\n \"project_id\": {{$('Set Configuration').first().json.config.PROJECT_ID}},\n \"issued_date\": \"{{$json.issued_date}}\",\n \"received_date\": \"{{$json.received_date}}\",\n \"body\": {{JSON.stringify($json.ai_result.body || \"\")}},\n \"details\": {\n \"legacy_number\": \"{{$json.legacy_number}}\",\n \"ref_no\": \"{{$json.metadata.ref_no}}\",\n \"response_to\": \"{{$json.metadata.response_to}}\",\n \"from_org\": \"{{$json.metadata.from_org}}\",\n \"to_org\": \"{{$json.metadata.to_org}}\"\n }\n}",
"options": {
"timeout": 30000
}
@@ -459,6 +459,149 @@
],
"webhookId": "38e97a99-4dcc-4b63-977a-a02945a1c369",
"notes": "หน่วงเวลาระหว่าง Batches"
},
{
"id": "23d11b5e-49b4-4b53-911b-76b6bb77aab8",
"name": "Route by Confidence",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
6840,
3696
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.route_index }}",
"rightValue": 0,
"operator": {
"type": "number",
"operation": "equals",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Auto Ingest"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.route_index }}",
"rightValue": 1,
"operator": {
"type": "number",
"operation": "equals",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Review Queue"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.route_index }}",
"rightValue": 2,
"operator": {
"type": "number",
"operation": "equals",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Reject"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $json.route_index }}",
"rightValue": 3,
"operator": {
"type": "number",
"operation": "equals",
"singleValue": true
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "Error Log"
}
]
}
}
},
{
"parameters": {
"fileSelector": "={{ $json.file_path }}",
"options": {}
},
"id": "node-read-pdf-1",
"name": "Read PDF File",
"type": "n8n-nodes-base.readWriteFile",
"typeVersion": 1,
"position": [
5904,
3064
],
"onError": "continueErrorOutput"
},
{
"parameters": {
"operation": "pdf",
"binaryPropertyName": "data",
"options": {}
},
"id": "node-extract-pdf-1",
"name": "Extract PDF Text",
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
6032,
3064
],
"onError": "continueErrorOutput"
}
],
"pinData": {},
@@ -577,7 +720,7 @@
"main": [
[
{
"node": "Check Fallback State",
"node": "Read PDF File",
"type": "main",
"index": 0
}
@@ -632,7 +775,7 @@
"main": [
[
{
"node": "Import to Backend",
"node": "Route by Confidence",
"type": "main",
"index": 0
}
@@ -726,6 +869,60 @@
}
]
]
},
"Route by Confidence": {
"main": [
[
{
"node": "Import to Backend",
"type": "main",
"index": 0
}
],
[
{
"node": "Insert Review Queue",
"type": "main",
"index": 0
}
],
[
{
"node": "Log Reject to CSV",
"type": "main",
"index": 0
}
],
[
{
"node": "Log Error to CSV",
"type": "main",
"index": 0
}
]
]
},
"Read PDF File": {
"main": [
[
{
"node": "Extract PDF Text",
"type": "main",
"index": 0
}
]
]
},
"Extract PDF Text": {
"main": [
[
{
"node": "Check Fallback State",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
@@ -740,4 +937,4 @@
},
"id": "u7CLP05AyFb8Um0P",
"tags": []
}
}