Get Airtable data in Obsidian Notes
工作流概述
这是一个包含7个节点的中等工作流,主要用于自动化处理各种任务。
工作流源代码
{
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"meta": {
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"name": "Get Airtable data in Obsidian Notes",
"tags": [
{
"id": "zalLN3OHeRqcq4di",
"name": "Obsidian",
"createdAt": "2024-12-01T19:07:59.925Z",
"updatedAt": "2024-12-01T19:07:59.925Z"
}
],
"nodes": [
{
"id": "584cfe61-7f1b-4deb-ab4b-45a5ffd20daf",
"name": "Airtable",
"type": "n8n-nodes-base.airtableTool",
"position": [
540,
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],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appP3ocJy1rXIo6ko",
"cachedResultUrl": "https://airtable.com/appP3ocJy1rXIo6ko",
"cachedResultName": "table"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblywtlpPtGQMTJRm",
"cachedResultUrl": "https://airtable.com/appP3ocJy1rXIo6ko/tblywtlpPtGQMTJRm",
"cachedResultName": "Dummy"
},
"options": {},
"operation": "search"
},
"credentials": {
"airtableTokenApi": {
"id": "yiZ7ZC1md4geZovu",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "8a100c92-7971-464b-b3c0-18272f0a0bef",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "q8L9oWVM7QyzYEE5",
"name": "OpenAi account"
}
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{
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"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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"parameters": {
"text": "={{ $json.body.content }}",
"options": {},
"promptType": "define"
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{
"id": "91296976-3d78-4a9e-9f4c-a4136abcca4e",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 7,
"width": 497.9113826976365,
"height": 389.9939760040372,
"content": "[](https://www.youtube.com/watch?v=2PIdeTgsENo)"
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"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
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"parameters": {
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"content": "## Get Airtable Data in Obsidian with AI Agent
<-- Watch the video to see it in action!
**How to Set Up:**
- Install the [Post Webhook Plugin](https://github.com/Masterb1234/obsidian-post-webhook/) in Obsidian.
- Insert the n8n Webhook URL into the Post Webhook plugin settings.
- Configure Your Airtable Node to match your workflow needs.
**How to Use:**
- Highlight text containing a question about your Airtable data.
- Open the Obsidian Command Palette (Ctrl+P) and choose 'Send Selection to [Your Webhook]'.
- Click, wait for the AI Agent to process your request, and see the result appear below your selected text."
},
"typeVersion": 1
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{
"id": "52c40581-656d-45b5-b366-d67cf2474312",
"name": "Respond to Obsidian",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
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],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.output }}"
},
"typeVersion": 1.1
},
{
"id": "f2bf502e-5e6f-4e71-8c4f-27ec2dc5ab67",
"name": "Webhook Set Up in Obsidian",
"type": "n8n-nodes-base.webhook",
"position": [
-40,
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],
"webhookId": "59fc8248-d3f7-4dbc-bdf3-39d59e427160",
"parameters": {
"path": "59fc8248-d3f7-4dbc-bdf3-39d59e427160",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "dab99881-2d04-4113-9a4e-2f942fdf1c24",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Respond to Obsidian",
"type": "main",
"index": 0
}
]
]
},
"Airtable": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
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{
"node": "AI Agent",
"type": "ai_languageModel",
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}
]
]
},
"Webhook Set Up in Obsidian": {
"main": [
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"node": "AI Agent",
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}
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
- Airtabletool
- @N8N/N8N Nodes Langchain.Lmchatopenai
- @N8N/N8N Nodes Langchain.Agent
- Stickynote
- Respondtowebhook
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