{ "name": "report", "nodes": [ { "parameters": { "modelId": { "__rl": true, "value": "provider-2/gpt-3.5-turbo", "mode": "id" }, "messages": { "values": [ { "content": "You are a professional business analyst and report writer. Create comprehensive, well-structured business reports with clear sections, actionable insights, and professional formatting. Use markdown formatting for headings and structure.\n", "role": "system" }, { "content": "={{ $json.openAIPrompt }}" } ] }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 1.8, "position": [ -760, 140 ], "id": "97404c7e-2d97-4c9c-9d0e-2100335f4634", "name": "Message a model", "credentials": { "openAiApi": { "name": "" } } }, { "parameters": { "httpMethod": "POST", "path": "report-task", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -1280, 160 ], "id": "8a0fd822-dc6f-4f77-8990-c24f166b4533", "name": "Report Task Webhook1" }, { "parameters": { "jsCode": "// Extract and validate report parameters from app\nconst webhookData = $input.first().json.body || $input.first().json;\n\n// Extract report parameters\nconst reportParams = {\n title: webhookData.title || 'Untitled Report',\n dataSource: webhookData.dataSource || '',\n reportType: webhookData.reportType || 'analysis',\n includeCharts: webhookData.includeCharts !== false, // default true\n format: webhookData.format || 'pdf',\n timestamp: new Date().toISOString(),\n executionId: 'report_' + Date.now()\n};\n\n// Validate required fields\nif (!reportParams.dataSource || reportParams.dataSource.length < 20) {\n throw new Error('Data source is required and must be at least 20 characters');\n}\n\n// Create comprehensive prompt for OpenAI\nlet openAIPrompt = `Create a comprehensive ${reportParams.reportType} report with the following specifications:\n\nTitle: ${reportParams.title}\nReport Type: ${reportParams.reportType}\nInclude Charts: ${reportParams.includeCharts ? 'Yes' : 'No'}\nOutput Format: ${reportParams.format}\n\nDATA SOURCE:\n${reportParams.dataSource}\n\nPLEASE CREATE A PROFESSIONAL REPORT WITH:\n\n1. EXECUTIVE SUMMARY\n - Key findings and recommendations\n - Critical insights overview\n\n2. DETAILED ANALYSIS\n - Data breakdown and interpretation\n - Trends and patterns identification\n - Statistical insights where applicable\n\n3. FINDINGS & INSIGHTS\n - Main discoveries from the data\n - Comparative analysis if relevant\n - Performance metrics and KPIs\n\n4. RECOMMENDATIONS\n - Actionable next steps\n - Strategic recommendations\n - Risk mitigation strategies\n\n5. CONCLUSION\n - Summary of key points\n - Future outlook\n - Implementation timeline\n\n${reportParams.includeCharts ? '\\n6. CHARTS & VISUALIZATIONS\\n - Describe recommended charts/graphs\\n - Data visualization suggestions\\n - Key metrics to highlight visually' : ''}\n\nPlease format the report professionally with clear headings, bullet points, and structured content. Make it comprehensive yet readable.`;\n\nreturn {\n ...reportParams,\n openAIPrompt: openAIPrompt,\n originalRequest: webhookData\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -1020, 160 ], "id": "a20b3179-138b-4e39-8d49-ce6368c856e5", "name": "Prepare Report Data1" }, { "parameters": { "jsCode": "// Extract OpenAI response and prepare for Google Docs\nconst data = $input.first().json;\n\n// Debug: Log the incoming data structure\nconsole.log('Incoming data structure:', JSON.stringify(data, null, 2));\n\n// Initialize variables\nlet reportContent = 'Report generation failed';\nlet title = 'Business Report';\nlet reportType = 'Analysis';\nlet executionId = 'report_' + Date.now();\nlet timestamp = new Date().toISOString();\n\n// Try to extract the OpenAI response content\n// Check multiple possible response formats from the OpenAI node\nif (data.text) {\n // Direct text response\n reportContent = data.text;\n} else if (data.content) {\n // Content field\n reportContent = data.content;\n} else if (data.choices && Array.isArray(data.choices) && data.choices[0]) {\n // Standard OpenAI API response format\n if (data.choices[0].message && data.choices[0].message.content) {\n reportContent = data.choices[0].message.content;\n } else if (data.choices[0].text) {\n reportContent = data.choices[0].text;\n }\n} else if (Array.isArray(data) && data.length > 0) {\n // Array format response\n if (data[0].message && data[0].message.content) {\n reportContent = data[0].message.content;\n } else if (data[0].text) {\n reportContent = data[0].text;\n } else if (data[0].content) {\n reportContent = data[0].content;\n }\n} else if (data.message && data.message.content) {\n // Direct message format\n reportContent = data.message.content;\n}\n\n// Try to get metadata from the previous nodes\n// Look for data from the \"Prepare Report Data\" node\nconst allInputs = $input.all();\nlet reportMetadata = {};\n\n// Check if we have access to the original report parameters\nallInputs.forEach(input => {\n const inputData = input.json;\n if (inputData.title) reportMetadata.title = inputData.title;\n if (inputData.reportType) reportMetadata.reportType = inputData.reportType;\n if (inputData.executionId) reportMetadata.executionId = inputData.executionId;\n if (inputData.timestamp) reportMetadata.timestamp = inputData.timestamp;\n});\n\n// Use metadata if available\ntitle = reportMetadata.title || data.title || 'Business Report';\nreportType = reportMetadata.reportType || data.reportType || 'Analysis';\nexecutionId = reportMetadata.executionId || data.executionId || 'report_' + Date.now();\ntimestamp = reportMetadata.timestamp || data.timestamp || new Date().toISOString();\n\n// Validate that we got content\nif (reportContent === 'Report generation failed') {\n console.error('Failed to extract report content. Available keys:', Object.keys(data));\n // You might want to throw an error here or use a fallback\n reportContent = `Error: Could not extract report content from OpenAI response.\\n\\nDebug Info:\\n${JSON.stringify(data, null, 2)}`;\n}\n\n// Create document title with timestamp\nconst docTitle = `${title} - ${new Date().toLocaleDateString()}`;\n\n// Add header to the report (only if we have valid content)\nlet finalReport;\nif (reportContent !== 'Report generation failed' && !reportContent.startsWith('Error:')) {\n finalReport = `${title}\\n${'='.repeat(50)}\\n\\nGenerated: ${new Date().toLocaleString()}\\nReport Type: ${reportType}\\nExecution ID: ${executionId}\\n\\n${reportContent}\\n\\n${'='.repeat(50)}\\nGenerated by AI Assistant`;\n} else {\n // If we failed to get content, just pass the error message\n finalReport = reportContent;\n}\n\nreturn {\n title: title,\n documentTitle: docTitle,\n reportContent: finalReport,\n executionId: executionId,\n timestamp: timestamp,\n // Add debug info\n debugInfo: {\n originalDataKeys: Object.keys(data),\n contentExtracted: reportContent !== 'Report generation failed'\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -440, 140 ], "id": "7fe28179-9b88-43a7-8467-010d7680bd17", "name": "Prepare Doc Content" }, { "parameters": { "folderId": "1qLVBkQErgrxshz3USrRWbg-7hxs068_E", "title": "={{ $json.documentTitle }}" }, "type": "n8n-nodes-base.googleDocs", "typeVersion": 2, "position": [ -260, 140 ], "id": "8b8e4014-2f89-45e1-a3cf-c91f4989be22", "name": "Create Google Doc", "credentials": { "googleDocsOAuth2Api": { "name": "" } } }, { "parameters": { "respondWith": "json", "responseBody": "={\n \"id\": \"{{ $('Create Google Doc').item.json.id }}\",\n \"status\": \"success\",\n \"message\": \"Report generated and saved to Google Docs successfully\",\n \"data\": {\n \"documentId\": \"{{ $json.documentId }}\",\n \"documentUrl\": \"https://docs.google.com/document/d/{{ $json.documentId }}/edit\",\n \"title\": \"{{ $('Prepare Doc Content').item.json.title }}\",\n \"generatedAt\": \"{{ $('Prepare Doc Content').item.json.timestamp }}\"\n }\n}", "options": {} }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1, "position": [ 400, 140 ], "id": "927b3239-6cff-4b11-a3e9-f41d68ad6d7f", "name": "Respond Success" }, { "parameters": { "operation": "update", "documentURL": "={{ $json.id }}", "actionsUi": { "actionFields": [ { "action": "insert", "text": "={{ $('Prepare Doc Content').item.json.reportContent }}" } ] } }, "type": "n8n-nodes-base.googleDocs", "typeVersion": 2, "position": [ 20, 140 ], "id": "ec5cc15a-fd54-4659-b42a-7bde3459126b", "name": "Create Google Doc1", "credentials": { "googleDocsOAuth2Api": { "name": "" } } } ], "connections": { "Message a model": { "main": [ [ { "node": "Prepare Doc Content", "type": "main", "index": 0 } ] ] }, "Report Task Webhook1": { "main": [ [ { "node": "Prepare Report Data1", "type": "main", "index": 0 } ] ] }, "Prepare Report Data1": { "main": [ [ { "node": "Message a model", "type": "main", "index": 0 } ] ] }, "Prepare Doc Content": { "main": [ [ { "node": "Create Google Doc", "type": "main", "index": 0 } ] ] }, "Create Google Doc": { "main": [ [ { "node": "Create Google Doc1", "type": "main", "index": 0 } ] ] }, "Create Google Doc1": { "main": [ [ { "node": "Respond Success", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1" }, "versionId": "d9af3ca0-2bdf-49a6-b23e-c1628bc94730", "meta": { "templateCredsSetupCompleted": true }, "id": "K6PygvfNwWD4FzRc", "tags": [] }