{ "name": "ANIS_HUB 1", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "anis", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2.1, "position": [ -96, -32 ], "id": "YOUR_ID", "name": "Webhook" }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{$json.body.agent}}", "rightValue": "ingest", "operator": { "type": "string", "operation": "equals" }, "id": "YOUR_ID" } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{$json.body.agent}}", "rightValue": "clean", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{$json.body.agent}}", "rightValue": "analyze", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{$json.body.agent}}", "rightValue": "report", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.3, "position": [ 176, -64 ], "id": "YOUR_ID", "name": "Switch \u2014 Router / Traffic Controller" }, { "parameters": { "operation": "getAll", "limit": 10, "filters": { "q": "has:attachment newer_than:1d" } }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 560, -1392 ], "id": "YOUR_ID", "name": "Gmail \u2014 Get many messages", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "operation": "get", "messageId": "={{$json.id}}", "simple": false, "options": { "downloadAttachments": true } }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 800, -1392 ], "id": "YOUR_ID", "name": "Gmail \u2014 (Get Message + Download Attachments)", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "inputDataFieldName": "={{ Object.keys($binary)[0] }}", "name": "={{ $binary[Object.keys($binary)[0]].fileName }}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 1632, -1472 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload file to RAW folder", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ Object.keys($binary ?? {}).length }}", "rightValue": 0, "operator": { "type": "number", "operation": "gt" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 1328, -1392 ], "id": "YOUR_ID", "name": "IF Node \u2014 Condition: Item has $binary" }, { "parameters": { "fieldToSplitOut": "$binary", "include": "allOtherFields", "options": {} }, "type": "n8n-nodes-base.splitOut", "typeVersion": 1, "position": [ 1056, -1392 ], "id": "YOUR_ID", "name": "Split Out \u2014 (1 attachment = 1 item)" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json[\"id\"] }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 1056, -320 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Download RAW file", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "ts": "={{ $now }}", "agent": "clean", "action": "unsupported_file", "notes": "Unsupported MIME type detected", "status": "error", "output": "unsupported", "input": "={{ $json[\"id\"] || $json[\"name\"] }}" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 1504, -192 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append (EVENT_LOG) - unsupported_file", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/vnd.YOUR_ID.spreadsheetml.sheet", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/vnd.ms-excel", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/csv", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/pdf", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/plain", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } }, { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/json", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "or" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 1264, -320 ], "id": "YOUR_ID", "name": "IF Node \u2014 Check MIME TYPE" }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/vnd.YOUR_ID.spreadsheetml.sheet", "operator": { "type": "string", "operation": "equals" }, "id": "YOUR_ID" } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/vnd.ms-excel", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/csv", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/json", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/pdf", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/plain", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.3, "position": [ 1728, -400 ], "id": "YOUR_ID", "name": "Switch \u2014 Route MIME TYPE" }, { "parameters": { "operation": "xlsx", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 2096, -992 ], "id": "YOUR_ID", "name": "Extract from XLSX File" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2400, -992 ], "id": "YOUR_ID", "name": "Convert to CSV from XLSX" }, { "parameters": { "operation": "xls", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 2096, -816 ], "id": "YOUR_ID", "name": "Extract from XLS File" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2400, -816 ], "id": "YOUR_ID", "name": "Convert to CSV from XLS" }, { "parameters": { "operation": "toJson", "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2080, -640 ], "id": "YOUR_ID", "name": "Spreadsheet File \u2014 Convert to JSON" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2528, -640 ], "id": "YOUR_ID", "name": "Spreadsheet File \u2014 Convert to CSV" }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "// ===== Smart Normalization (optimized) =====\n\n// Column name mapping rules\nconst columnMap = {\n \"full name\": \"name\",\n \"email address\": \"email\",\n \"phone no\": \"phone\",\n \"amount ($)\": \"amount\",\n};\n\n// Default schema template\nconst defaultSchema = {\n name: null,\n email: null,\n phone: null,\n amount: null,\n source_file: $json.filename || null,\n processed_at: new Date().toISOString(),\n};\n\nlet normalized = {};\n\n// Normalize each key/value\nfor (let [key, value] of Object.entries($json)) {\n\n // Key normalization: trim \u2192 lowercase \u2192 strip symbols \u2192 replace spaces with _\n let cleanKey = key.trim().toLowerCase()\n .replace(/[^a-z0-9 ]/g, \"\")\n .replace(/\\s+/g, \"_\");\n\n // Apply mapping\n cleanKey = columnMap[cleanKey] || cleanKey;\n\n // Value normalization\n value = (value === \"\" || value === undefined || value === null)\n ? null\n : String(value).trim();\n\n normalized[cleanKey] = value;\n}\n\n// Merge with schema defaults\nreturn { ...defaultSchema, ...normalized };\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2304, -640 ], "id": "YOUR_ID", "name": "Function Node \u2014 Smart Normalization" }, { "parameters": { "jsCode": "const items = $input.all();\n\nfor (const item of items) {\n let text = item.binary.data.toString('utf8');\n\n text = text.replace(/\\r\\n|\\r/g, \"\\n\");\n text = text.replace(/[ \\t]+/g, \" \");\n text = text.replace(/\\n{3,}/g, \"\\n\\n\");\n text = text.replace(/[\u201c\u201d]/g, '\"').replace(/[\u2018\u2019]/g, \"'\");\n text = text.replace(/[^\\x09\\x0A\\x0D\\x20-\\x7E]/g, \"\");\n text = text.split(\"\\n\").map(line => line.trim()).join(\"\\n\");\n\n item.json = { content: text }; // <-- FIXED field name\n}\n\nreturn items;\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2144, 48 ], "id": "YOUR_ID", "name": "Function Node \u2014 Smart TXT Normalization" }, { "parameters": { "operation": "toText", "sourceProperty": "content", "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2464, 48 ], "id": "YOUR_ID", "name": "Convert to Text File" }, { "parameters": { "url": "YOUR_VERCEL_OCR_API_ENDPOINT", "sendBody": true, "specifyBody": "json", "jsonBody": "={ \"fileURL\": \"https://drive.google.com/uc?export=download&id={{$json[\"id\"]}}\" }", "options": { "response": {} } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.3, "position": [ 2112, -144 ], "id": "YOUR_ID", "name": "HTTP Request \u2014 Call Vercel OCR endpoint) (/api/ocr-summarize)" }, { "parameters": { "jsCode": "// Smart TXT Normalization for OCR Extracted Text (Personal AI Factory v1)\n\nconst raw = $json.text || \"\";\n\n// Normalize, clean and format text\nconst normalized = raw\n .replace(/\\r\\n/g, \"\\n\") // Convert CRLF to LF\n .replace(/[ \\t]+/g, \" \") // Normalize extra spaces\n .replace(/\\n{3,}/g, \"\\n\\n\") // Reduce >2 blank lines to max 1\n .replace(/[^\\S\\r\\n]+/g, \" \") // Trim odd spacing without removing line breaks\n .replace(/\\u00A0/g, \" \") // Replace non-breaking spaces\n .trim();\n\n// Optional: remove repeating headers/footer patterns if needed\n// Example cleanup for page artifacts:\nconst finalText = normalized\n .replace(/Page \\d+ of \\d+/gi, \"\")\n .replace(/Confidential/gi, \"\")\n .trim();\n\nreturn [\n {\n json: {\n text: finalText\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2336, -144 ], "id": "YOUR_ID", "name": "Function \u2014 Smart TXT Normalization from Extracted text" }, { "parameters": { "operation": "toText", "sourceProperty": "text", "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2576, -144 ], "id": "YOUR_ID", "name": "Convert to Text File (.txt)" }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName.replace(\".xlsx\", \".csv\") }}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, -992 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload file (to CLEAN folder) from XLSX to CSV", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName.replace(\".xls\", \".csv\") }}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, -816 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload file (to CLEAN folder) from XLS to CSV", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName}}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, -320 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload JSON file (to CLEAN folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName}}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, -640 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload normalized CSV file (to CLEAN folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName.replace(\".pdf\", \".txt\") }}", "driveId": { "__rl": true, "value": "My Drive", "mode": "list", "cachedResultName": "My Drive", "cachedResultUrl": "https://drive.google.com/drive/my-drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, -144 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload file (to CLEAN folder) from PDF to TXT", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "name": "={{ $node[\"Switch \u2014 Route MIME TYPE\"].binary.data.fileName }}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 2832, 48 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload normalized TXT file (to CLEAN folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "DATA_CATALOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "status": "clean_success", "added_at": "={{$now}}", "source": "=gdrive", "email_id": "={{ $json[\"owners\"][0][\"emailAddress\"] }}", "id": "={{$json.id}}", "clean_path": "={{$node[\"Google Drive \u2014 Upload file (to CLEAN folder) from XLSX to CSV\"].json[\"webViewLink\"]}}", "mime": "={{ $json[\"mimeType\"] }}", "filename": "={{$json[\"name\"]}}", "size": "={{ (Number($json[\"size\"]) / 1024).toFixed(2) }} KB" }, "matchingColumns": [ "id" ], "schema": [ { "id": "id", "displayName": "id", "required": false, "defaultMatch": true, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "source", "displayName": "source", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "email_id", "displayName": "email_id", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "filename", "displayName": "filename", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "mime", "displayName": "mime", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "size", "displayName": "size", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "raw_path", "displayName": "raw_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "clean_path", "displayName": "clean_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "gold_path", "displayName": "gold_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "added_at", "displayName": "added_at", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false 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Converted to TXT and saved to CLEAN folder." }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 3328, -144 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG PDF (clean_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "agent": "clean", "ts": "={{ $now }}", "action": "YOUR_ID", "status": "clean_success", "notes": "Text extracted and normalized. Converted to TXT and saved to CLEAN folder.", "output": "={{$node[\"Google Drive \u2014 Upload normalized TXT file (to CLEAN folder)\"].json[\"webViewLink\"]}}", "input": "={{$node[\"Google Drive \u2014 Upload normalized TXT file (to CLEAN folder)\"].json[\"name\"]}}" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 3328, 48 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG TXT (clean_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 832, -464 ], "id": "YOUR_ID", "name": "Split In Batches \u2014 FOR EACH RAW FILE" }, { "parameters": { "resource": "fileFolder", "searchMethod": "query", "queryString": "'YOUR_ID' in parents", "returnAll": true, "filter": {}, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 592, -464 ], "id": "YOUR_ID", "name": "Google Drive \u2014 List Files (RAW folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 992, 544 ], "id": "YOUR_ID", "name": "Split In Batches \u2014 FOR EACH CLEAN FILE" }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/csv", "operator": { "type": "string", "operation": "equals" }, "id": "YOUR_ID" } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/json", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/plain", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.3, "position": [ 1536, 688 ], "id": "YOUR_ID", "name": "Switch \u2014 File Type (by mimeType)" }, { "parameters": { "jsCode": "// YOUR_ID\n// PERSONAL AI FACTORY v1 \u2014 KPI ENGINE\n// Input: An array of JSON rows from CLEAN (CSV + JSON only)\n// TXT files are ignored because they never reach this node\n// YOUR_ID\n\nconst rows = items.map(i => i.json);\n\n// If no rows (e.g., only TXT in CLEAN), produce empty KPIs\nif (rows.length === 0) {\n const kpis = {\n win_rate: 0,\n avg_margin: 0,\n aging_days: 0,\n count_rows: 0\n };\n\n const csvRows = [\n { metric: 'win_rate', value: 0 },\n { metric: 'avg_margin', value: 0 },\n { metric: 'aging_days', value: 0 },\n { metric: 'count_rows', value: 0 }\n ];\n\n return [{ json: { kpis, csvRows, summary: \"No structured rows available for KPI computation.\" }}];\n}\n\n// YOUR_ID\n// Helpers\n// YOUR_ID\nconst parseNumber = (value) => {\n if (value === undefined || value === null || value === \"\") return null;\n const cleaned = String(value).replace(/[,\u20b9$]/g, '').trim();\n const num = Number(cleaned);\n return Number.isFinite(num) ? num : null;\n};\n\nconst parseDate = (value) => {\n if (!value) return null;\n const d = new Date(value);\n return isNaN(d) ? null : d;\n};\n\n// Flexible mapping to handle different column names\nconst mapCol = (row, names) => {\n for (const n of names) {\n if (row[n] !== undefined && row[n] !== null && row[n] !== \"\") {\n return row[n];\n }\n }\n return null;\n};\n\n// YOUR_ID\n// Normalize rows\n// YOUR_ID\nconst normalized = rows.map(r => {\n return {\n status: (mapCol(r, ['status', 'state', 'result']) || \"\").toString().toLowerCase(),\n revenue: parseNumber(mapCol(r, ['revenue', 'amount', 'sale_value', 'price'])),\n cost: parseNumber(mapCol(r, ['cost', 'expense', 'cogs'])),\n created_at: parseDate(mapCol(r, ['created_at', 'created', 'date', 'timestamp']))\n };\n});\n\n// YOUR_ID\n// Compute KPIs\n// YOUR_ID\n\n// Win Rate\nconst total = normalized.length;\nconst wins = normalized.filter(r =>\n r.status === 'won' ||\n r.status === 'closed-won' ||\n r.status === 'success'\n).length;\nconst win_rate = total > 0 ? wins / total : 0;\n\n// Average Margin\nconst margins = normalized\n .map(r => (r.revenue && r.cost !== null && r.revenue !== 0)\n ? (r.revenue - r.cost) / r.revenue\n : null)\n .filter(v => v !== null);\n\nconst avg_margin = margins.length > 0\n ? margins.reduce((a, b) => a + b, 0) / margins.length\n : 0;\n\n// Aging Days\nconst now = new Date();\nconst daysBetween = (a, b) => Math.round((b - a) / (1000 * 60 * 60 * 24));\n\nconst ages = normalized\n .map(r => r.created_at ? daysBetween(r.created_at, now) : null)\n .filter(v => v !== null);\n\nconst aging_days = ages.length > 0\n ? Math.round(ages.reduce((a, b) => a + b, 0) / ages.length)\n : 0;\n\n// YOUR_ID\n// Output dataset for CSV\n// YOUR_ID\nconst csvRows = [\n { metric: \"win_rate\", value: win_rate },\n { metric: \"avg_margin\", value: avg_margin },\n { metric: \"aging_days\", value: aging_days },\n { metric: \"count_rows\", value: total }\n];\n\n// YOUR_ID\n// Final Output\n// YOUR_ID\nconst summary = `Computed ${total} structured rows \u2192 win_rate=${(win_rate * 100).toFixed(1)}%, avg_margin=${(avg_margin * 100).toFixed(1)}%, aging_days=${aging_days}`;\n\nreturn [{\n json: {\n kpis: {\n win_rate,\n avg_margin,\n aging_days,\n count_rows: total\n },\n csvRows,\n summary\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2432, 528 ], "id": "YOUR_ID", "name": "Function Node \u2014 Compute KPIs" }, { "parameters": { "numberInputs": 6 }, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 4176, -16 ], "id": "YOUR_ID", "name": "Merge (CLEAN Lane)" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1856, 624 ], "id": "YOUR_ID", "name": "Extract from CSV File" }, { "parameters": { "operation": "fromJson", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1856, 816 ], "id": "YOUR_ID", "name": "Extract from JSON File" }, { "parameters": {}, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 2272, 816 ], "id": "YOUR_ID", "name": "Merge \u2014 Structured Data (CSV + JSON Rows)" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 2720, 608 ], "id": "YOUR_ID", "name": "Convert to CSV File" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "agent": "clean", "ts": "={{ $now }}", "action": "YOUR_ID", "status": "clean_success", "notes": "Text extracted and normalized. Converted to CSV and saved to CLEAN folder.", "output": "={{$node[\"Google Drive \u2014 Upload file (to CLEAN folder) from XLSX to CSV\"].json[\"webViewLink\"]}}", "input": "={{$node[\"Google Drive \u2014 Upload file (to CLEAN folder) from XLSX to CSV\"].json[\"name\"]}}" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 3328, -992 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG XLSX (clean_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "content": "ANALYZE Agent\n", "height": 768, "width": 2976 }, "type": "n8n-nodes-base.stickyNote", "position": [ 528, 384 ], "typeVersion": 1, "id": "YOUR_ID", "name": "Sticky Note" }, { "parameters": { "content": "CLEAN Agent", "height": 1360, "width": 3904, "color": 3 }, "type": "n8n-nodes-base.stickyNote", "position": [ 496, -1056 ], "typeVersion": 1, "id": "YOUR_ID", "name": "Sticky Note1" }, { "parameters": { "content": "INGST Agent", "height": 464, "width": 1968, "color": 6 }, "type": "n8n-nodes-base.stickyNote", "position": [ 464, -1600 ], "typeVersion": 1, "id": "YOUR_ID", "name": "Sticky Note2" }, { "parameters": { "name": "kpi.csv", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 3008, 704 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Upload File (to GOLD folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "resource": "fileFolder", "searchMethod": "query", "queryString": "'YOUR_ID' in parents and mimeType!='application/vnd.google-apps.folder'", "returnAll": true, "filter": {}, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 592, 1360 ], "id": "YOUR_ID", "name": "Google Drive \u2014 List Files (GOLD folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "resource": "fileFolder", "searchMethod": "query", "queryString": "'YOUR_ID' in parents", "returnAll": true, "filter": {}, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 592, 1760 ], "id": "YOUR_ID", "name": "Google Drive \u2014 List Files (CLEAN folder) for REPORT agent", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "resource": "fileFolder", "searchMethod": "query", "queryString": "'YOUR_ID' in parents", "returnAll": true, "filter": {}, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 688, 544 ], "id": "YOUR_ID", "name": "Google Drive \u2014 List Files (CLEAN folder) for ANALYZE agent", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json[\"id\"] }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 1280, 704 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Download CLEAN file", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "rules": { "values": [ { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/csv", "operator": { "type": "string", "operation": "equals" }, "id": "YOUR_ID" } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "application/json", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } }, { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "YOUR_ID", "leftValue": "={{ $binary.data.mimeType }}", "rightValue": "text/plain", "operator": { "type": "string", "operation": "equals", "name": "filter.operator.equals" } } ], "combinator": "and" } } ] }, "options": {} }, "type": "n8n-nodes-base.switch", "typeVersion": 3.3, "position": [ 1360, 2144 ], "id": "YOUR_ID", "name": "Switch \u2014 File Type (by mimeType/extension)" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json[\"id\"] }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 1136, 2000 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Download CLEAN file (for REPORT)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.splitInBatches", "typeVersion": 3, "position": [ 896, 1760 ], "id": "YOUR_ID", "name": "Split In Batches \u2014 FOR EACH CLEAN FILE (for REPORT)" }, { "parameters": { "numberInputs": 3 }, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 2224, 2384 ], "id": "YOUR_ID", "name": "Merge \u2014 CLEAN Samples" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json[\"id\"] }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 1040, 1360 ], "id": "YOUR_ID", "name": "Google Drive \u2014 Download Gold file (for REPORT)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1568, 1360 ], "id": "YOUR_ID", "name": "Extract from CSV File from GOLD (for REPORT)" }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1632, 1968 ], "id": "YOUR_ID", "name": "Extract from CSV File from CLEAN (for REPORT)" }, { "parameters": { "operation": "fromJson", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1632, 2160 ], "id": "YOUR_ID", "name": "Extract from JSON File from CLEAN (for REPORT)" }, { "parameters": { "operation": "text", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 1632, 2336 ], "id": "YOUR_ID", "name": "Extract from TXT File from CLEAN (for REPORT)" }, { "parameters": { "jsCode": "// Get file meta from Download node\nconst fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\nconst rows = items.map(i => i.json);\nconst sampleRows = rows.slice(0, 5); // first 5 rows only\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"csv\",\n rowCount: rows.length,\n sampleRows,\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1872, 1968 ], "id": "YOUR_ID", "name": "Function \u2014 Build Sample (CSV) from CLEAN" }, { "parameters": { "jsCode": "const fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\nconst rows = items.map(i => i.json);\nconst sampleRows = rows.slice(0, 5);\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"json\",\n rowCount: rows.length,\n sampleRows,\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1872, 2160 ], "id": "YOUR_ID", "name": "Function \u2014 Build Sample (JSON) from CLEAN" }, { "parameters": { "jsCode": "const fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\n// Depending on Extract node, the text might be in json, json.data, or similar\nconst raw = items[0].json.data ?? items[0].json ?? \"\";\n\nlet text;\nif (typeof raw === 'string') {\n text = raw;\n} else {\n // If it's an object/array, stringify it so GPT still sees the content\n text = JSON.stringify(raw, null, 2);\n}\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"txt\",\n textPreview: text.slice(0, 2000) // cap length\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1872, 2336 ], "id": "YOUR_ID", "name": "Function \u2014 Build Sample (TXT) from CLEAN" }, { "parameters": { "jsCode": "// We expect a single item from \"Extract from CSV File from GOLD (for REPORT)\"\nconst item = (items[0] && items[0].json) || {};\n\n// 1) Rebuild the KPIs object from fields like \"kpis.win_rate\", \"kpis.avg_margin\", ...\nconst kpis = {};\n\n// Case A: if extractor already gives a nested \"kpis\" object\nif (item.kpis && typeof item.kpis === 'object') {\n for (const [metric, raw] of Object.entries(item.kpis)) {\n let value = raw;\n if (typeof value === 'string') {\n const n = Number(value);\n value = isNaN(n) ? value : n;\n }\n kpis[metric] = value;\n }\n} else {\n // Case B: flattened keys like \"kpis.win_rate\"\n for (const key of Object.keys(item)) {\n if (!key.startsWith('kpis.')) continue;\n\n const metric = key.slice('kpis.'.length); // e.g. \"win_rate\"\n let value = item[key];\n\n if (typeof value === 'string') {\n const n = Number(value);\n value = isNaN(n) ? value : n;\n }\n\n kpis[metric] = value;\n }\n}\n\n// Optional extras: summary text from the KPI CSV (if present)\nconst summary = item.summary || null;\n\n// Metadata about the KPI file from the Download node\nconst fileMeta = $node[\"Google Drive \u2014 Download Gold file (for REPORT)\"].json;\n\nreturn [{\n json: {\n kpis,\n kpiSource: {\n fileName: fileMeta.name,\n fileId: fileMeta.id,\n },\n summary, // optional, can be used in the REPORT prompt\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2064, 1360 ], "id": "YOUR_ID", "name": "Function \u2014 Build KPI Object from GOLD (for REPORT)" }, { "parameters": { "mode": "combine", "combineBy": "combineByPosition", "options": {} }, "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 2352, 1600 ], "id": "YOUR_ID", "name": "Merge \u2014 (CLEAN summary + GOLD KPI object)" }, { "parameters": { "jsCode": "// Gather ALL processed samples coming from Split In Batches (Done Output)\nconst samples = $input.all().map(i => i.json);\n\nreturn [{\n json: {\n cleanSummary: {\n fileCount: samples.length,\n files: samples,\n }\n }\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2064, 1744 ], "id": "YOUR_ID", "name": "Function \u2014 Unified CLEAN Summary" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 2656, 1856 ], "id": "YOUR_ID", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "promptType": "define", "text": "Stub prompt \u2013 use chat messages below.", "messages": { "messageValues": [ { "message": "You are the REPORT AI agent inside the Personal AI Factory v1 (ANIS).|You receive one JSON object with:- kpis: numeric metrics (e.g. avg_margin, aging_days, count_rows, win_rate if present)- kpiSource: metadata about the KPI file- summary: plain text hint from the KPI engine- cleanSummary: { fileCount, files[] }, where each file has: - fileName - source: csv | json | txt - rowCount? and sampleRows? for csv/json - textPreview? for txtRules:- Use kpis as the only numeric truth source. Do not invent or guess numbers.- Do not infer KPIs from cleanSummary sampleRows; they are only for qualitative context.- Do not use any external knowledge. Only use the JSON content.Output (plain text, no JSON, no markdown):1) KPI Overview \u2013 short paragraph summarizing what the KPIs indicate.2) Data Processed \u2013 describe how many files were processed and what types they are.3) Key Insights \u2013 3\u20135 bullet-style sentences (write bullets as \"- ...\") linking KPIs and file insights.4) Recommended Actions \u2013 3\u20135 action-oriented sentences, grounded strictly in the KPIs and the examples from cleanSummary.Tone: professional, concise, business-focused. No chit-chat, no self-reference." }, { "type": "YOUR_ID", "message": "=Here is the merged JSON for today\u2019s report:\n\n{{ JSON.stringify($json, null, 2) }}\n\nGenerate the report according to the system instructions.\n" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 2560, 1600 ], "id": "YOUR_ID", "name": "Basic LLM Chain" }, { "parameters": { "operation": "toText", "sourceProperty": "reportText", "options": {} }, "type": "n8n-nodes-base.convertToFile", "typeVersion": 1.1, "position": [ 3088, 1600 ], "id": "YOUR_ID", "name": "Convert to TXT File (for REPORT agent)" }, { "parameters": { "jsCode": "// Extract the text returned by Gemini\nconst geminiOutput = $json.text || \"\";\n\n// Build YYYY-MM-DD manually to avoid timezone issues\nconst d = new Date();\nconst year = d.getFullYear();\nconst month = String(d.getMonth() + 1).padStart(2, \"0\");\nconst day = String(d.getDate()).padStart(2, \"0\");\nconst today = `${year}-${month}-${day}`;\n\n// Filename format: YYYY-MM-DD_REPORT.txt (e.g., 2025-12-07_REPORT.txt)\nconst reportFileName = `${today}_REPORT.txt`;\n\n// Output structured data for next node\nreturn [\n {\n json: {\n reportText: geminiOutput,\n reportFileName,\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2880, 1600 ], "id": "YOUR_ID", "name": "Function \u2013 Format REPORT content (prepare text + filename)" }, { "parameters": { "name": "={{ $node[\"Function \u2013 Format REPORT content (prepare text + filename)\"].json[\"reportFileName\"] }}", "driveId": { "__rl": true, "mode": "list", "value": "My Drive" }, "folderId": { "__rl": true, "value": "YOUR_GOOGLE_DRIVE_FOLDER_ID", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 3312, 1600 ], "id": "YOUR_ID", "name": "Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "DATA_CATALOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "source": "gmail", "status": "raw", "added_at": "={{$now}}", "filename": "={{ $json[\"originalFilename\"] }}", "mime": "={{ $json[\"mimeType\"] }}", "raw_path": "={{ $node[\"Google Drive \u2014 Upload file to RAW folder\"].json[\"webViewLink\"] }}", "size": "={{ (Number($json[\"size\"]) / 1024).toFixed(2) }} KB", "email_id": "={{ $node[\"Split Out \u2014 (1 attachment = 1 item)\"].json[\"messageId\"] }}", "id": "={{ $json[\"id\"] }}" }, "matchingColumns": [ "id" ], "schema": [ { "id": "id", "displayName": "id", "required": false, "defaultMatch": true, "display": true, "type": "string", "canBeUsedToMatch": true, "removed": false }, { "id": "source", "displayName": "source", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "email_id", "displayName": "email_id", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "filename", "displayName": "filename", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "mime", "displayName": "mime", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "size", "displayName": "size", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "raw_path", "displayName": "raw_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "clean_path", "displayName": "clean_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "gold_path", "displayName": "gold_path", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "added_at", "displayName": "added_at", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 1888, -1472 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append DATA_CATALOG (ingest_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "ts": "={{ $now }}", "agent": "ingest", "action": "save_to_raw_folder", "notes": "Attachment saved to RAW folder", "input": "={{ $node[\"Split Out \u2014 (1 attachment = 1 item)\"].json[\"messageId\"] }}", "output": "={{ $node[\"Google Drive \u2014 Upload file to RAW folder\"].json[\"webViewLink\"] }}", "status": "={{ $node[\"Google Sheets \u2014 Append DATA_CATALOG (ingest_success)\"].json ? \"success\" : \"error\" }}" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 2160, -1472 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG (ingest_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "ts": "={{ $now }}", "agent": "analyze", "input": "={{ $node[\"Google Drive \u2014 Upload File (to GOLD folder)\"].json[\"name\"] }}", "output": "={{$node[\"Google Drive \u2014 Upload File (to GOLD folder)\"].json[\"webViewLink\"]}}", "status": "analyze_success", "action": "YOUR_ID", "notes": "Unified KPI CSV file generated and uploaded to GOLD folder" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 3280, 832 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG (analyze_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "YOUR_SPREADSHEET_ID", "mode": "list", "cachedResultName": "AI_Factory_Control", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "YOUR_SHEET_ID", "mode": "list", "cachedResultName": "EVENT_LOG", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873" }, "columns": { "mappingMode": "defineBelow", "value": { "ts": "={{ $now }}", "agent": "report", "input": "={{ $node[\"Function \u2013 Format REPORT content (prepare text + filename)\"].json[\"reportFileName\"] }}", "output": "={{ $node[\"Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)\"].json[\"webViewLink\"] }}", "notes": "Generated KPI summary and uploaded TXT to REPORT folder", "status": "report_success", "action": "YOUR_ID" }, "matchingColumns": [], "schema": [ { "id": "ts", "displayName": "ts", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "agent", "displayName": "agent", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "action", "displayName": "action", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "input", "displayName": "input", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "output", "displayName": "output", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "status", "displayName": "status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "notes", "displayName": "notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 3536, 1600 ], "id": "YOUR_ID", "name": "Google Sheets \u2014 Append EVENT_LOG (report_success)", "credentials": { "googleSheetsOAuth2Api": { "name": "" } } }, { "parameters": { "content": "REPORT Agent", "height": 1424, "width": 3344, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "position": [ 480, 1248 ], "typeVersion": 1, "id": "YOUR_ID", "name": "Sticky Note3" }, { "parameters": { "jsCode": "/**\n * Unified Build Response for INGEST agent\n * Personal AI Factory v1 \u2014 Recommended Production Version\n */\n\n// Normalizes a drive link or returns null\nconst normalizeLink = (v) =>\n (typeof v === 'string' && v.trim().startsWith('http')) ? v.trim() : null;\n\n// Extract all rows safely\nconst rows = (items || [])\n .map(i => i?.json || {})\n .filter(r => Object.keys(r).length > 0);\n\n// Count success/failure\nconst successes = rows.filter(r => String(r.status).toLowerCase() === 'success');\nconst failures = rows.filter(r => String(r.status).toLowerCase() !== 'success');\n\n// Extract valid drive links (for returning to GPT + pipeline)\nconst links = successes\n .map(r => normalizeLink(r.output))\n .filter(Boolean);\n\n// ----- Build Summary Message -----\nlet summary;\nif (rows.length === 0) {\n summary = `INGEST agent ran, but no attachments were found to ingest.`;\n} else if (failures.length === 0) {\n summary = `INGEST agent successfully saved ${successes.length} attachment(s) to RAW.`;\n} else if (successes.length === 0) {\n summary = `INGEST agent attempted ingestion but all attachments failed.`;\n} else {\n summary = `INGEST agent saved ${successes.length} attachment(s) to RAW, `\n + `but ${failures.length} attachment(s) failed.`;\n}\n\n// ----- Determine OK State -----\nconst ok = failures.length === 0;\n\n// ----- Useful meta info for advanced reporting (future proof) -----\nconst meta = {\n totalProcessed: rows.length,\n successes: successes.length,\n failures: failures.length,\n agent: \"ingest\",\n};\n\n// ----- Return Standardized v1 Contract -----\nreturn [{\n json: {\n ok,\n summary,\n kpis: {}, // INGEST never produces KPIs\n links, // list of RAW file links\n meta, // extra info (OPTIONAL but safe + useful)\n },\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4592, -1472 ], "id": "YOUR_ID", "name": "Function \u2013 Build Response for INGEST agent" }, { "parameters": { "jsCode": "/**\n * Function \u2013 Build Response (CLEAN agent) v1.1 [FIXED STATUS LOGIC]\n * Mode: Run Once for All Items\n * Input: items[] from \"Split In Batches \u2014 FOR EACH RAW FILE\" DONE branch\n * Each item.json \u2248 { agent, ts, action, status, notes, output, input }\n */\n\n// YOUR_ID\n// UTILITY HELPERS\n// YOUR_ID\n\n// Normalize a link or drop it\nconst normalizeLink = (v) =>\n (typeof v === 'string' && v.trim().startsWith('http')) ? v.trim() : null;\n\n// Infer extension from input filename\nconst getExt = (name) => {\n if (typeof name !== 'string') return null;\n const m = name.toLowerCase().match(/\\.([0-9a-z]+)(?:\\?|$)/);\n return m ? m[1] : null;\n};\n\n// CLEAN agent success logic (IMPORTANT FIX)\n// Accepts \"success\" or \"clean_success\"\nconst isSuccessStatus = (s) => {\n const v = String(s || '').toLowerCase();\n return v === 'success' || v === 'clean_success';\n};\n\n// YOUR_ID\n// COLLECT RECORDS\n// YOUR_ID\n\nconst rows = (items || [])\n .map(i => i?.json || {})\n .filter(r => Object.keys(r).length > 0);\n\n// Split into success / failure using FIXED logic\nconst successes = rows.filter(r => isSuccessStatus(r.status));\nconst failures = rows.filter(r => !isSuccessStatus(r.status));\n\n// Collect CLEAN links\nconst links = successes\n .map(r => normalizeLink(r.output))\n .filter(Boolean);\n\n// Optional type statistics\nconst typeCounts = {};\nfor (const r of rows) {\n const ext = getExt(r.input) || 'unknown';\n typeCounts[ext] = (typeCounts[ext] || 0) + 1;\n}\n\n// YOUR_ID\n// HUMAN SUMMARY MESSAGE\n// YOUR_ID\n\nlet summary;\nif (rows.length === 0) {\n summary = 'CLEAN agent ran, but no RAW files were found to normalize.';\n} else if (failures.length === 0) {\n summary = `CLEAN agent successfully normalized ${successes.length} file(s) from RAW to CLEAN.`;\n} else if (successes.length === 0) {\n summary = `CLEAN agent attempted normalization but all ${failures.length} file(s) failed.`;\n} else {\n summary = `CLEAN agent normalized ${successes.length} file(s) to CLEAN, `\n + `but ${failures.length} file(s) failed.`;\n}\n\n// YOUR_ID\n// OUTPUT (Standard v1 Contract)\n// YOUR_ID\n\nconst ok = failures.length === 0;\n\nconst meta = {\n agent: 'clean',\n totalProcessed: rows.length,\n successes: successes.length,\n failures: failures.length,\n typeCounts, // e.g. { csv: 2, txt: 2, json: 1 }\n inputs: rows.map(r => r.input), // original filenames\n};\n\nreturn [{\n json: {\n ok,\n summary,\n kpis: {}, // CLEAN agent does not compute KPIs\n links, // links to CLEAN files (CSV/TXT/JSON etc.)\n meta, // useful diagnostics + dashboards\n },\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4592, -480 ], "id": "YOUR_ID", "name": "Function \u2013 Build Response for CLEAN agent" }, { "parameters": { "jsCode": "/**\n * Function \u2013 Build Response (ANALYZE agent) v1.1 [FIXED STATUS LOGIC]\n * Mode: Run Once for All Items\n *\n * Input (items[]): from EVENT_LOG append (analyze_success)\n * Each item.json \u2248 { ts, agent, input, output, status, action, notes }\n *\n * Also reads KPIs from the KPI Code node.\n */\n\n// ---------- helpers ----------\nconst normalizeLink = (v) =>\n (typeof v === 'string' && v.trim().startsWith('http')) ? v.trim() : null;\n\n// Treat both \"success\" and \"analyze_success\" as success\nconst isSuccessStatus = (s) => {\n const v = String(s || '').toLowerCase();\n return v === 'success' || v === 'analyze_success';\n};\n\n// ---------- collect EVENT_LOG rows ----------\nconst rows = (items || [])\n .map(i => i?.json || {})\n .filter(r => Object.keys(r).length > 0);\n\nconst successes = rows.filter(r => isSuccessStatus(r.status));\nconst failures = rows.filter(r => !isSuccessStatus(r.status));\n\n// GOLD file links (kpi.csv)\nconst links = successes\n .map(r => normalizeLink(r.output))\n .filter(Boolean);\n\n// ---------- get KPIs from KPI node ----------\nlet kpis = {};\ntry {\n // Change this name to the EXACT name of your KPI code node\n const kpiNode = $node[\"Function Node \u2014 Compute KPIs\"].json;\n\n if (kpiNode && typeof kpiNode === 'object') {\n if (kpiNode.kpis && typeof kpiNode.kpis === 'object') {\n kpis = kpiNode.kpis;\n } else {\n // fallback: treat full node json as KPI object\n kpis = kpiNode;\n }\n }\n} catch (e) {\n kpis = {};\n}\n\n// Optional: build small human-readable KPI snippet\nconst parts = [];\nif (typeof kpis.win_rate === 'number') {\n parts.push(`win rate: ${(kpis.win_rate * 100).toFixed(1)}%`);\n}\nif (typeof kpis.avg_margin === 'number') {\n parts.push(`avg margin: ${(kpis.avg_margin * 100).toFixed(1)}%`);\n}\nif (typeof kpis.aging_days === 'number') {\n parts.push(`aging: ${Math.round(kpis.aging_days)} days`);\n}\nif (typeof kpis.count_rows === 'number') {\n parts.push(`rows: ${kpis.count_rows}`);\n}\nconst kpiSummary = parts.length ? ` (${parts.join(\", \")})` : \"\";\n\n// ---------- summary ----------\nlet summary;\nif (rows.length === 0) {\n summary = \"ANALYZE agent ran, but no CLEAN data was found to compute KPIs.\";\n} else if (failures.length === 0) {\n summary = `ANALYZE agent successfully computed KPIs and wrote kpi.csv to GOLD${kpiSummary}.`;\n} else if (successes.length === 0) {\n summary = \"ANALYZE agent attempted KPI computation, but it failed.\";\n} else {\n summary = \"ANALYZE agent computed KPIs with partial success; check EVENT_LOG for details.\";\n}\n\n// ---------- ok + meta ----------\nconst ok = failures.length === 0;\n\nconst meta = {\n agent: \"analyze\",\n totalEvents: rows.length,\n successes: successes.length,\n failures: failures.length,\n kpiFile: (successes[0]?.input) || (rows[0]?.input) || \"kpi.csv\",\n};\n\n// ---------- standard v1 response ----------\nreturn [{\n json: {\n ok,\n summary,\n kpis, // KPI object for Reporter and GPT\n links, // link(s) to kpi.csv in GOLD\n meta, // extra diagnostics (optional)\n },\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4576, 832 ], "id": "YOUR_ID", "name": "Function \u2013 Build Response for ANALYZE agent" }, { "parameters": { "jsCode": "/**\n * Function \u2013 Build Response (REPORT agent) v1.1 [FIXED STATUS LOGIC]\n * Mode: Run Once for All Items\n *\n * Input: items[] from \"Google Sheets \u2014 Append EVENT_LOG (report_success)\"\n * Each item.json \u2248 {\n * ts, agent, input, output, status, action, notes\n * }\n *\n * Also reads:\n * - LLM summary from node \"Basic LLM Chain\"\n * - KPIs from node \"Function Node \u2014 Build Values from GOLD KPIs\"\n */\n\n// ---------- helpers ----------\nconst normalizeLink = (v) =>\n (typeof v === 'string' && v.trim().startsWith('http')) ? v.trim() : null;\n\n// robust success check\nconst isSuccessStatus = (s) => {\n const v = String(s || '').toLowerCase();\n return v.includes('success'); // <-- accepts report_success / generate_report_success\n};\n\n// ---------- collect EVENT_LOG rows ----------\nconst rows = (items || [])\n .map(i => i?.json || {})\n .filter(r => Object.keys(r).length > 0);\n\nconst successes = rows.filter(r => isSuccessStatus(r.status));\nconst failures = rows.filter(r => !isSuccessStatus(r.status));\n\n// ---------- extract report file link(s) ----------\nconst reportLinks = [];\n\nfor (const r of rows) {\n const out = r.output;\n\n if (!out) continue;\n\n // Case 1: output is a string URL\n if (typeof out === 'string') {\n const link = normalizeLink(out);\n if (link) reportLinks.push(link);\n continue;\n }\n\n // Case 2: Drive metadata under output.json\n if (out.json && out.json.webViewLink) {\n const link = normalizeLink(out.json.webViewLink);\n if (link) reportLinks.push(link);\n }\n\n // Case 3: Drive metadata under output.data\n if (out.data && out.data.webViewLink) {\n const link = normalizeLink(out.data.webViewLink);\n if (link) reportLinks.push(link);\n }\n}\n\n// Remove duplicates\nconst links = Array.from(new Set(reportLinks));\n\n// ---------- get LLM summary (Gemini) ----------\nlet summaryText = '';\n\ntry {\n // Change this name EXACTLY to your LLM node name\n const llmNode = $node[\"Basic LLM Chain\"].json;\n\n if (llmNode && typeof llmNode === 'object') {\n summaryText = llmNode.text || llmNode.summary || '';\n }\n} catch (e) {\n summaryText = '';\n}\n\n// ---------- get structured KPIs ----------\nlet kpis = {};\ntry {\n const kNode = $node[\"Function Node \u2014 Build Values from GOLD KPIs\"].json;\n\n if (kNode && typeof kNode === 'object') {\n if (kNode.kpis && typeof kNode.kpis === 'object') {\n kpis = kNode.kpis;\n } else {\n kpis = kNode;\n }\n }\n} catch (e) {\n kpis = {};\n}\n\n// ---------- build final summary ----------\nlet summary;\nif (!summaryText) {\n if (rows.length === 0) {\n summary = 'REPORT agent ran but no summary text was generated.';\n } else {\n summary = 'REPORT agent generated a file, but summary text could not be retrieved.';\n }\n} else {\n summary = summaryText;\n}\n\n// ok = MUST have success AND MUST have summary\nconst ok = successes.length > 0 && !!summaryText;\n\n// ---------- meta diagnostics ----------\nconst meta = {\n agent: 'report',\n totalEvents: rows.length,\n successes: successes.length,\n failures: failures.length,\n reportFileName: successes[0]?.input || null,\n};\n\n// ---------- standard v1 response ----------\nreturn [{\n json: {\n ok,\n summary,\n kpis,\n links,\n meta,\n },\n}];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 4560, 1600 ], "id": "YOUR_ID", "name": "Function \u2013 Build Response for REPORT agent" }, { "parameters": { "options": {} }, "type": 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