Slack-GitHub User Info
工作流概述
这是一个包含4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
{
"id": "5",
"name": "Slack-GitHub User Info",
"nodes": [
{
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
300,
300
],
"webhookId": "dacd64a7-a83e-4492-b8fe-363453906d0d",
"parameters": {
"path": "dacd64a7-a83e-4492-b8fe-363453906d0d",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 1
},
{
"name": "GraphQL",
"type": "n8n-nodes-base.graphql",
"position": [
500,
300
],
"parameters": {
"query": "=query {
user(login:\"{{$node[\"Webhook\"].json[\"body\"][\"text\"]}}\"){
name
company
location
avatarUrl
email
pullRequests(last: 25) {
edges {
node {
commits(last:25) {
nodes {
commit {
author {
email
name
}
}
}
}
}
}
}
}
}",
"endpoint": "https://api.github.com/graphql",
"requestFormat": "json",
"responseFormat": "string",
"headerParametersUi": {
"parameter": [
{
"name": "User-Agent",
"value": "n8n"
},
{
"name": "Authorization",
"value": "bearer <Personal Token>"
}
]
}
},
"typeVersion": 1
},
{
"name": "Function",
"type": "n8n-nodes-base.function",
"position": [
700,
300
],
"parameters": {
"functionCode": "let emails = [];
let tempEmails = [];
const name = $node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"name\"];
const publicEmail = $node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"email\"];
const username = $node[\"Webhook\"].json[\"body\"][\"text\"];
const nameRegex = new RegExp(name,\"g\")
if(publicEmail){
// if public email address exists, push it to the tempEmails array
tempEmails.push(publicEmail)
}
// looping through the pull requests
for(const edge of items[0].json.data.data.user.pullRequests.edges){
// looping through the commits
for(node of edge.node.commits.nodes){
// Checks the name associated with the email address
if(nameRegex.test(node.commit.author.name)|| node.commit.author.name == username) {
// if name equals to contributors name or username, push the email address in tempEmails
tempEmails.push(node.commit.author.email)
}
}
}
// Remove duplicates
emails = [...new Set(tempEmails)]
// RegEx Pattern for email address generated by GitHub
let re = /^\w+(.)*@users.noreply.github.com/
// Remove the email addresses Generated by GitHub
emails = emails.filter(email => !re.test(email))
return [{json:{emails,}}]
"
},
"typeVersion": 1
},
{
"name": "Slack",
"type": "n8n-nodes-base.slack",
"position": [
900,
300
],
"parameters": {
"channel": "={{$node[\"Webhook\"].json[\"body\"][\"channel_id\"]}}",
"attachments": [
{
"title": "=GitHub Details for: {{$node[\"Webhook\"].json[\"body\"][\"text\"]}}"
},
{
"text": "=*Name:* {{$node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"name\"]}}
*Email:* {{$node[\"Function\"].json[\"emails\"].join(', ')}}
*Company:* {{$node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"company\"]}}
*Location:* {{$node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"location\"]}}"
},
{
"thumb_url": "={{$node[\"GraphQL\"].json[\"data\"][\"data\"][\"user\"][\"avatarUrl\"]}}"
}
],
"otherOptions": {},
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": "Slack OAuth2"
},
"typeVersion": 1
}
],
"active": false,
"settings": {},
"connections": {
"GraphQL": {
"main": [
[
{
"node": "Function",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "GraphQL",
"type": "main",
"index": 0
}
]
]
},
"Function": {
"main": [
[
{
"node": "Slack",
"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
- Webhook
- Graphql
- Function
- Slack
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