{ "name": "Flow 5 - Mini AI Summary", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "minutes", "minutesInterval": 2 } ] } }, "name": "Cron Trigger (Every 2 minutes)", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1, "position": [ 240, 300 ] }, { "parameters": { "url": "={{$env.BACKEND_API_URL}}/api/forecasts/latest", "authentication": "none", "options": {} }, "name": "HTTP: Get Forecast Logs", "type": "n8n-nodes-base.httpRequest", "typeVersion": 3, "position": [ 460, 300 ] }, { "parameters": { "url": "={{$env.BACKEND_API_URL}}/api/tasks?status=in_progress", "authentication": "none", "options": {} }, "name": "HTTP: Get Tasks", "type": "n8n-nodes-base.httpRequest", "typeVersion": 3, "position": [ 680, 300 ] }, { "parameters": { "functionCode": "// Build Summary Prompt\nconst forecasts = $node['HTTP: Get Forecast Logs'].json.forecasts || [];\nconst tasks = $input.first().json.tasks || [];\n\nconst highRiskForecasts = forecasts.filter(f => \n f.risk_level === 'high' || f.risk_level === 'critical'\n);\n\nconst inProgressTasks = tasks.filter(t => t.status === 'in_progress');\nconst doneTasks = tasks.filter(t => t.status === 'done');\n\nconst prompt = `T\u1ea1o b\u00e1o c\u00e1o t\u00f3m t\u1eaft ng\u1eafn g\u1ecdn (3-5 c\u00e2u) b\u1eb1ng ti\u1ebfng Vi\u1ec7t v\u1ec1 t\u00ecnh h\u00ecnh d\u1ef1 \u00e1n:\n\nD\u1ef1 \u0111o\u00e1n r\u1ee7i ro: ${forecasts.length} tasks \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch\nTasks \u0111ang th\u1ef1c hi\u1ec7n: ${inProgressTasks.length} tasks\n\nChi ti\u1ebft:\n- Tasks c\u00f3 r\u1ee7i ro cao: ${highRiskForecasts.length}\n- Tasks \u0111ang th\u1ef1c hi\u1ec7n: ${inProgressTasks.length}\n- Tasks ho\u00e0n th\u00e0nh: ${doneTasks.length}\n- T\u1ed5ng tasks: ${tasks.length}\n\nFormat: V\u0103n b\u1ea3n s\u00fac t\u00edch, d\u1ec5 hi\u1ec3u, highlight \u0111i\u1ec3m quan tr\u1ecdng. S\u1eed d\u1ee5ng emoji n\u1ebfu ph\u00f9 h\u1ee3p.`;\n\nreturn {\n json: {\n prompt: prompt,\n stats: {\n total_forecasts: forecasts.length,\n high_risk_count: highRiskForecasts.length,\n in_progress_count: inProgressTasks.length,\n done_count: doneTasks.length,\n total_tasks: tasks.length\n }\n }\n};" }, "name": "Function: Build Summary Prompt", "type": "n8n-nodes-base.function", "typeVersion": 1, "position": [ 900, 300 ] }, { "parameters": { "url": "=https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-lite:generateContent?key={{$env.GEMINI_API_KEY}}", "authentication": "none", "method": "POST", "sendBody": true, "bodyParameters": { "parameters": [ { "name": "contents", "value": "=[{\"parts\":[{\"text\":\"{{$json.prompt}}\"}]}]" } ] }, "options": {} }, "name": "HTTP: Gemini API", "type": "n8n-nodes-base.httpRequest", "typeVersion": 3, "position": [ 1120, 300 ] }, { "parameters": { "functionCode": "// Parse Summary\nconst response = $input.first().json;\nlet summary = 'Kh\u00f4ng th\u1ec3 t\u1ea1o b\u00e1o c\u00e1o t\u00f3m t\u1eaft';\n\ntry {\n const text = response.candidates[0].content.parts[0].text;\n summary = text.trim();\n} catch (error) {\n console.log('Error parsing AI response:', error);\n}\n\nconst stats = $node['Function: Build Summary Prompt'].json.stats;\n\nreturn {\n json: {\n summary: summary,\n stats: stats,\n generated_at: new Date().toISOString()\n }\n};" }, "name": "Function: Parse Summary", "type": "n8n-nodes-base.function", "typeVersion": 1, "position": [ 1340, 300 ] }, { "parameters": { "fromEmail": "={{$env.EMAIL_FROM}}", "toEmail": "={{$env.ADMIN_EMAIL}}", "subject": "\ud83d\udcca B\u00e1o c\u00e1o t\u00f3m t\u1eaft h\u1ec7 th\u1ed1ng AI Deadline", "emailType": "html", "message": "=\n\n \n\n\n
\n
\n

\ud83d\udcca B\u00e1o c\u00e1o T\u00f3m t\u1eaft H\u1ec7 th\u1ed1ng

\n

AI Deadline Forecasting Agent

\n
\n
\n

Th\u1ed1ng k\u00ea T\u1ed5ng quan

\n
\n
\n
{{$json.stats.total_tasks}}
\n
T\u1ed5ng Tasks
\n
\n
\n
{{$json.stats.in_progress_count}}
\n
\u0110ang th\u1ef1c hi\u1ec7n
\n
\n
\n
{{$json.stats.done_count}}
\n
Ho\u00e0n th\u00e0nh
\n
\n
\n
{{$json.stats.high_risk_count}}
\n
R\u1ee7i ro cao
\n
\n
\n \n
\n

\ud83e\udd16 Ph\u00e2n t\u00edch t\u1eeb AI

\n

{{$json.summary}}

\n
\n \n

\n B\u00e1o c\u00e1o \u0111\u01b0\u1ee3c t\u1ea1o t\u1ef1 \u0111\u1ed9ng v\u00e0o: {{$json.generated_at}}\n

\n
\n
\n

\u00a9 2024 AI Deadline Forecasting Agent

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Email n\u00e0y \u0111\u01b0\u1ee3c g\u1eedi t\u1ef1 \u0111\u1ed9ng t\u1eeb h\u1ec7 th\u1ed1ng n8n workflow

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\n
\n\n", "options": {} }, "name": "Send Email: Weekly Summary", "type": "n8n-nodes-base.emailSend", "typeVersion": 2, "position": [ 1560, 300 ], "credentials": { "smtp": { "name": "" } } }, { "parameters": { "url": "={{$env.BACKEND_API_URL}}/api/webhooks/n8n/automation-log", "authentication": "none", "method": "POST", "sendBody": true, "bodyParameters": { "parameters": [ { "name": "workflow_name", "value": "Mini AI Summary" }, { "name": "status", "value": "success" }, { "name": "input_data", "value": "={{JSON.stringify($json.stats)}}" }, { "name": "output_data", "value": "={{JSON.stringify({summary: $json.summary})}}" } ] }, "options": {} }, "name": "HTTP: Log to Backend", "type": "n8n-nodes-base.httpRequest", "typeVersion": 3, "position": [ 1780, 300 ] } ], "connections": { "Cron Trigger (Every 2 minutes)": { "main": [ [ { "node": "HTTP: Get Forecast Logs", "type": "main", "index": 0 } ] ] }, "HTTP: Get Forecast Logs": { "main": [ [ { "node": "HTTP: Get Tasks", "type": "main", "index": 0 } ] ] }, "HTTP: Get Tasks": { "main": [ [ { "node": "Function: Build Summary Prompt", "type": "main", "index": 0 } ] ] }, "Function: Build Summary Prompt": { "main": [ [ { "node": "HTTP: Gemini API", "type": "main", "index": 0 } ] ] }, "HTTP: Gemini API": { "main": [ [ { "node": "Function: Parse Summary", "type": "main", "index": 0 } ] ] }, "Function: Parse Summary": { "main": [ [ { "node": "Send Email: Weekly Summary", "type": "main", "index": 0 } ] ] }, "Send Email: Weekly Summary": { "main": [ [ { "node": "HTTP: Log to Backend", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": {}, "versionId": "5", "id": "5", "tags": [] }