Coffee Bot (Mattermost)
工作流概述
这是一个包含6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": "7",
"name": "Coffee Bot (Mattermost)",
"nodes": [
{
"name": "Divide into groups",
"type": "n8n-nodes-base.function",
"position": [
1060,
300
],
"parameters": {
"functionCode": "const ideal_group_size = 3;
let groups = [];
let data_as_array = [];
let newItems = [];
// Take all the users and add them to an array
for (let j = 0; j < items.length; j++) {
data_as_array.push({username: items[j].json.username, email: items[j].json.email});
}
// Fisher-Yates (aka Knuth) Shuffle
function shuffle(array) {
var currentIndex = array.length, temporaryValue, randomIndex;
// While there remain elements to shuffle...
while (0 !== currentIndex) {
// Pick a remaining element...
randomIndex = Math.floor(Math.random() * currentIndex);
currentIndex -= 1;
// And swap it with the current element.
temporaryValue = array[currentIndex];
array[currentIndex] = array[randomIndex];
array[randomIndex] = temporaryValue;
}
return array;
}
// Randomize the sequence of names in the array
data_as_array = shuffle(data_as_array);
// Create groups of ideal group size (3)
for (let i = 0; i < data_as_array.length; i += ideal_group_size) {
groups.push(data_as_array.slice(i, i + ideal_group_size));
}
// Make sure that no group has just one person. If it does, take
// one from previous group and add it to that group
for (let k = 0; k < groups.length; k++) {
if (groups[k].length === 1) {
groups[k].push(groups[k-1].shift());
}
}
for (let l = 0; l < groups.length; l++) {
newItems.push({json: {groupsUsername: groups[l].map(a=> a.username), groupsEmail: groups[l].map(b=> b.email)}})
}
return newItems;"
},
"typeVersion": 1
},
{
"name": "Greetings",
"type": "n8n-nodes-base.mattermost",
"position": [
650,
300
],
"parameters": {
"message": "👋 Happy Monday
Groups for this week's virtual coffee are:",
"channelId": "Enter Your Channel ID",
"attachments": [],
"otherOptions": {}
},
"credentials": {
"mattermostApi": "Mattermost Cred"
},
"typeVersion": 1
},
{
"name": "Weekly trigger on monday",
"type": "n8n-nodes-base.cron",
"position": [
450,
300
],
"parameters": {
"triggerTimes": {
"item": [
{
"hour": 10,
"mode": "everyWeek"
}
]
}
},
"typeVersion": 1
},
{
"name": "Announce groups",
"type": "n8n-nodes-base.mattermost",
"position": [
1250,
200
],
"parameters": {
"message": "=☀️ {{$node[\"Divide into groups\"].json[\"groupsUsername\"].join(', ')}}",
"channelId": "=",
"attachments": [],
"otherOptions": {}
},
"credentials": {
"mattermostApi": "Mattermost Cred"
},
"typeVersion": 1
},
{
"name": "Employees in coffee chat channel",
"type": "n8n-nodes-base.mattermost",
"position": [
850,
300
],
"parameters": {
"resource": "user",
"operation": "getAll",
"additionalFields": {
"inChannel": "={{$node[\"Greetings\"].parameter[\"channelId\"]}}"
}
},
"credentials": {
"mattermostApi": "Mattermost Cred"
},
"typeVersion": 1
},
{
"name": "Send calendar invites",
"type": "n8n-nodes-base.googleCalendar",
"position": [
1250,
400
],
"parameters": {
"end": "2020-12-17T18:38:49.000Z",
"start": "2020-12-17T18:08:49.000Z",
"calendar": "Enter Your Google Calendar",
"additionalFields": {
"summary": "n8n coffee catchup",
"attendees": [
"={{$node[\"Divide into groups\"].json[\"groupsEmail\"].join(',')}}"
],
"guestsCanModify": true,
"conferenceDataUi": {
"conferenceDataValues": {
"conferenceSolution": "hangoutsMeet"
}
}
}
},
"credentials": {
"googleCalendarOAuth2Api": "Google Calendar Cred"
},
"typeVersion": 1
}
],
"active": false,
"settings": {},
"connections": {
"Greetings": {
"main": [
[
{
"node": "Employees in coffee chat channel",
"type": "main",
"index": 0
}
]
]
},
"Divide into groups": {
"main": [
[
{
"node": "Announce groups",
"type": "main",
"index": 0
},
{
"node": "Send calendar invites",
"type": "main",
"index": 0
}
]
]
},
"Weekly trigger on monday": {
"main": [
[
{
"node": "Greetings",
"type": "main",
"index": 0
}
]
]
},
"Employees in coffee chat channel": {
"main": [
[
{
"node": "Divide into groups",
"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
- Function
- Mattermost
- Cron
- Googlecalendar
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