Fetch the Most Recent Document from Google Drive
工作流概述
这是一个包含12个节点的复杂工作流,主要用于自动化处理各种任务。
工作流源代码
{
"id": "aswQJmksAOmHmn8c",
"meta": {
"instanceId": "14e4c77104722ab186539dfea5182e419aecc83d85963fe13f6de862c875ebfa"
},
"name": "Fetch the Most Recent Document from Google Drive",
"tags": [
{
"id": "uScnF9NzR3PLIyvU",
"name": "Published",
"createdAt": "2025-03-21T07:22:28.491Z",
"updatedAt": "2025-03-21T07:22:28.491Z"
}
],
"nodes": [
{
"id": "d9df98fe-bf03-45bd-9cb9-ed32371b7970",
"name": "Google Docs",
"type": "n8n-nodes-base.googleDocs",
"position": [
100,
500
],
"parameters": {
"operation": "get",
"documentURL": "={{ $json.id }}"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "",
"name": ""
}
},
"typeVersion": 2
},
{
"id": "46daf9a2-0d13-49c3-8272-e366888e1960",
"name": "Wikipedia",
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"position": [
440,
440
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9dafd444-257c-4f44-9550-1dbd19dc44d4",
"name": "Calculator",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
700,
440
],
"parameters": {},
"typeVersion": 1
},
{
"id": "259a7fa0-4b37-453e-a730-fb2fc7bc3eb0",
"name": "Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
1040,
540
],
"parameters": {
"columns": {
"value": {
"Name": "={{ $('Google Drive ').item.json.lastModifyingUser.displayName }}",
"Email ": "={{ $('Google Drive ').item.json.lastModifyingUser.emailAddress }}",
"Summarise Conetent data ": "={{ $json.message.content }}"
},
"schema": [
{
"id": "Email ",
"type": "string",
"display": true,
"required": false,
"displayName": "Email ",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summarise Conetent data ",
"type": "string",
"display": true,
"required": false,
"displayName": "Summarise Conetent data ",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": []
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "",
"__regex": "https:\/\/(?:drive|docs)\.google\.com(?:\/.*|)\/d\/([0-9a-zA-Z\-_]+)(?:\/.*|)"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"typeVersion": 4.5
},
{
"id": "d5b63de6-bc9a-4e44-a9a2-85026a16aec7",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
180
],
"parameters": {
"color": 5,
"height": 260,
"content": "## Get Latest File
"
},
"typeVersion": 1
},
{
"id": "d00720d9-a344-48c9-9c31-7c4391ecda70",
"name": "Google Drive ",
"type": "n8n-nodes-base.googleDriveTrigger",
"notes": "Received the doc",
"position": [
-240,
260
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "url",
"value": ""
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "4e326b5d-f116-4de7-bf4b-bac11772e54d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
400
],
"parameters": {
"color": 5,
"width": 260,
"height": 260,
"content": "## Get Document Content
"
},
"typeVersion": 1
},
{
"id": "b2f25e20-0c61-4af4-b2b5-dbeb20720c3b",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
200
],
"parameters": {
"color": 5,
"width": 440,
"height": 380,
"content": "## AI Summarization
"
},
"typeVersion": 1
},
{
"id": "af9b81f3-b65d-4957-8471-978dc90970f2",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
420
],
"parameters": {
"color": 5,
"width": 300,
"height": 280,
"content": "## Store Summary in Sheet
"
},
"typeVersion": 1
},
{
"id": "4cd99298-968b-4a47-bcf9-b4e006d8dab0",
"name": "Generate Summary AI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
460,
280
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=Summarise the below content
{{ $json.content }}"
}
]
}
},
"typeVersion": 1.7
},
{
"id": "af7afd98-8707-4db6-acb0-796427f6e304",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 5,
"width": 800,
"height": 80,
"content": "# Google Doc Summarizer to Google Sheets
"
},
"typeVersion": 1
},
{
"id": "d0c4ae80-d120-457a-975d-7cfcb963b922",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
760
],
"parameters": {
"color": 5,
"width": 1280,
"content": "## Description
This workflow streamlines and automates the end-to-end process of managing recently added document files in Google Drive. It begins by identifying the most recently uploaded .doc file in a designated folder within Google Drive. The document's content is then directly retrieved and passed through an AI-powered summarization model that condenses the content into a concise and meaningful summary. Finally, the summarized content, along with relevant metadata such as the document's name, upload date, and other details, is systematically stored in a Google Sheet. This ensures easy reference, enhanced organization, and quick access to key information, making it an ideal solution for managing and summarizing large volumes of document data efficiently."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "b3ee0a62-7c2f-4dc4-9e2c-f16211e02008",
"connections": {
"Wikipedia": {
"ai_tool": [
[
{
"node": "Generate Summary AI",
"type": "ai_tool",
"index": 0
}
]
]
},
"Calculator": {
"ai_tool": [
[
{
"node": "Generate Summary AI",
"type": "ai_tool",
"index": 0
}
]
]
},
"Google Docs": {
"main": [
[
{
"node": "Generate Summary AI",
"type": "main",
"index": 0
}
]
]
},
"Google Drive ": {
"main": [
[
{
"node": "Google Docs",
"type": "main",
"index": 0
}
]
]
},
"Generate Summary AI": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
}
}
}
功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Googledocs
- @N8N/N8N Nodes Langchain.Toolwikipedia
- @N8N/N8N Nodes Langchain.Toolcalculator
- Googlesheets
- Stickynote
复杂度评估
配置难度:
维护难度:
扩展性:
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器(可选)
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制:
- 网络超时自动重试(最多3次)
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作