Baserow markdown to html
工作流概述
这是一个包含9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": "cMccNWyyvptrhRt6",
"meta": {
"instanceId": "7d362a334cd7fabe145eb8ec1b9c6b483cd4fa9315ab54f45d181e73340a0ebc",
"templateCredsSetupCompleted": true
},
"name": "Baserow markdown to html",
"tags": [],
"nodes": [
{
"id": "57d42202-e74b-4103-b872-fbd4ea151e41",
"name": "Get single record from baserow",
"type": "n8n-nodes-base.baserow",
"position": [
1660,
1200
],
"parameters": {
"rowId": "={{ $('Baserow sync video description').item.json.query.rec }}",
"tableId": 260956,
"operation": "get",
"databaseId": 94671
},
"credentials": {
"baserowApi": {
"id": "ZtSVpTPWpIusSF9B",
"name": "baserowCloud"
}
},
"typeVersion": 1
},
{
"id": "eaa051ad-1644-4c5b-b0bd-35d55d93b83a",
"name": "Update single record in baserow",
"type": "n8n-nodes-base.baserow",
"position": [
2100,
1200
],
"parameters": {
"rowId": "={{ $json.id }}",
"tableId": 260956,
"fieldsUi": {
"fieldValues": [
{
"fieldId": 2314683,
"fieldValue": "={{ $json.data }}"
}
]
},
"operation": "update",
"databaseId": 94671
},
"credentials": {
"baserowApi": {
"id": "ZtSVpTPWpIusSF9B",
"name": "baserowCloud"
}
},
"typeVersion": 1
},
{
"id": "5c52950c-eab3-48e7-84be-2dfef26f798c",
"name": "Update all records in baserow",
"type": "n8n-nodes-base.baserow",
"position": [
2100,
1420
],
"parameters": {
"rowId": "={{ $json.id }}",
"tableId": 260956,
"fieldsUi": {
"fieldValues": [
{
"fieldId": 2314683,
"fieldValue": "={{ $json.data }}"
}
]
},
"operation": "update",
"databaseId": 94671
},
"credentials": {
"baserowApi": {
"id": "ZtSVpTPWpIusSF9B",
"name": "baserowCloud"
}
},
"typeVersion": 1
},
{
"id": "eea44e7c-7dcc-4e46-a378-e4efded207b0",
"name": "Check if it's 1 record or all records - Baserow",
"type": "n8n-nodes-base.if",
"position": [
1460,
1220
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bb614e16-f239-4ced-b50f-15be13493099",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.query.rec }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "b8e66259-2a04-471a-8886-20de5793c9ad",
"name": "Get all records from baserow",
"type": "n8n-nodes-base.baserow",
"position": [
1660,
1420
],
"parameters": {
"tableId": 260956,
"returnAll": true,
"databaseId": 94671,
"additionalOptions": {}
},
"credentials": {
"baserowApi": {
"id": "ZtSVpTPWpIusSF9B",
"name": "baserowCloud"
}
},
"typeVersion": 1
},
{
"id": "3a5e6b2b-8cbd-41e0-9452-b60647554db6",
"name": "Baserow sync video description",
"type": "n8n-nodes-base.webhook",
"position": [
1240,
1220
],
"webhookId": "d4858ac8-2d80-41c5-a9d9-06b8e1a14347",
"parameters": {
"path": "d4858ac8-2d80-41c5-a9d9-06b8e1a14347",
"options": {}
},
"typeVersion": 2
},
{
"id": "6853027d-4b66-4cf8-a521-6e1869a47b03",
"name": "Convert markdown to HTML (single)",
"type": "n8n-nodes-base.markdown",
"position": [
1880,
1200
],
"parameters": {
"mode": "markdownToHtml",
"options": {
"emoji": true,
"simpleLineBreaks": true,
"backslashEscapesHTMLTags": true
},
"markdown": "={{ $json['📥 Video Description'] }}"
},
"typeVersion": 1
},
{
"id": "a9c35d29-dc0e-432d-8116-6b52d64a8a34",
"name": "Convert markdown to HTML (all records)",
"type": "n8n-nodes-base.markdown",
"position": [
1880,
1420
],
"parameters": {
"mode": "markdownToHtml",
"options": {},
"markdown": "={{ $json['📥 Video Description'] }}"
},
"typeVersion": 1
},
{
"id": "ff0893ca-6bd0-4ab3-b526-6347702815ff",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
1000
],
"parameters": {
"content": "# Tutorial
[Youtube video](https://www.youtube.com/watch?v=PAoxZjICd7o)"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "7172dabc-5b15-478f-b956-9ac736af4745",
"connections": {
"Get all records from baserow": {
"main": [
[
{
"node": "Convert markdown to HTML (all records)",
"type": "main",
"index": 0
}
]
]
},
"Baserow sync video description": {
"main": [
[
{
"node": "Check if it's 1 record or all records - Baserow",
"type": "main",
"index": 0
}
]
]
},
"Get single record from baserow": {
"main": [
[
{
"node": "Convert markdown to HTML (single)",
"type": "main",
"index": 0
}
]
]
},
"Convert markdown to HTML (single)": {
"main": [
[
{
"node": "Update single record in baserow",
"type": "main",
"index": 0
}
]
]
},
"Convert markdown to HTML (all records)": {
"main": [
[
{
"node": "Update all records in baserow",
"type": "main",
"index": 0
}
]
]
},
"Check if it's 1 record or all records - Baserow": {
"main": [
[
{
"node": "Get single record from baserow",
"type": "main",
"index": 0
}
],
[
{
"node": "Get all records from baserow",
"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
- Baserow
- If
- Webhook
- Markdown
- 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