Daily Language Learning
工作流概述
这是一个包含8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": "Daily Language Learning",
"nodes": [
{
"name": "Daily trigger",
"type": "n8n-nodes-base.cron",
"position": [
620,
750
],
"parameters": {
"triggerTimes": {
"item": [
{
"hour": 8
}
]
}
},
"typeVersion": 1
},
{
"name": "Get top 3 articles",
"type": "n8n-nodes-base.hackerNews",
"position": [
820,
750
],
"parameters": {
"limit": 3,
"resource": "all",
"additionalFields": {
"tags": [
"front_page"
]
}
},
"typeVersion": 1
},
{
"name": "Extract words",
"type": "n8n-nodes-base.function",
"position": [
1020,
750
],
"parameters": {
"functionCode": "const words = [];
const regex = /\d/g;
const newItems = [];
// Splits titles into words and removes numbers
// using regular expressions
for(let i=0; i < items.length; i++) {
let split_titles = [];
split_titles = items[i].json.title.split(' ');
for(let j=0; j < split_titles.length; j++) {
if(regex.test(split_titles[j])) {
continue;
} else {
words.push(split_titles[j]);
}
}
}
// Removes all duplicate words by converting the
// array into a set and then back into an array
const uniqueWords = [...new Set(words)];
// Transform the array to the data structure expected
// by n8n
for(let k=0; k < uniqueWords.length; k++) {
newItems.push({json: { words: uniqueWords[k] }});
}
return newItems;"
},
"typeVersion": 1
},
{
"name": "Translate",
"type": "n8n-nodes-base.lingvaNex",
"position": [
1220,
750
],
"parameters": {
"text": "={{$node[\"Extract words\"].json[\"words\"]}}",
"options": {},
"translateTo": "de_DE"
},
"credentials": {
"lingvaNexApi": "LingvaNex"
},
"typeVersion": 1
},
{
"name": "Filter data ",
"type": "n8n-nodes-base.set",
"position": [
1420,
750
],
"parameters": {
"values": {
"string": [
{
"name": "English word",
"value": "={{$node[\"Translate\"].json[\"source\"]}}"
},
{
"name": "Translated word",
"value": "={{$node[\"Translate\"].json[\"result\"]}}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"name": "Save today's words",
"type": "n8n-nodes-base.airtable",
"position": [
1620,
850
],
"parameters": {
"table": "Table 1",
"options": {},
"operation": "append",
"application": "app4Y6qcCHIO1cYNB"
},
"credentials": {
"airtableApi": "Airtable"
},
"typeVersion": 1
},
{
"name": "Craft message",
"type": "n8n-nodes-base.function",
"position": [
1620,
650
],
"parameters": {
"functionCode": "const number_of_words = 5;
const words = [];
// Crafts the words to be sent in en_word : translated_word format
// and adds them to an array
for(let i=0; i < number_of_words; i++) {
words.push(items[i].json['English word'] + ' : ' + items[i].json['Translated word']);
}
// Takes all the items from the array and converts them into a comma
// separated string
const words_of_the_day = words.join(', ');
return [{json: {words_of_the_day: words_of_the_day}}];"
},
"typeVersion": 1
},
{
"name": "Send SMS",
"type": "n8n-nodes-base.vonage",
"position": [
1820,
650
],
"parameters": {
"to": "+4915225152610",
"from": "Vonage APIs",
"message": "=Good morning, here are your words for today
{{$node[\"Craft message\"].json[\"words_of_the_day\"]}}",
"additionalFields": {}
},
"credentials": {
"vonageApi": "Vonage"
},
"typeVersion": 1
}
],
"active": false,
"settings": {},
"connections": {
"Translate": {
"main": [
[
{
"node": "Filter data ",
"type": "main",
"index": 0
}
]
]
},
"Filter data ": {
"main": [
[
{
"node": "Craft message",
"type": "main",
"index": 0
},
{
"node": "Save today's words",
"type": "main",
"index": 0
}
]
]
},
"Craft message": {
"main": [
[
{
"node": "Send SMS",
"type": "main",
"index": 0
}
]
]
},
"Daily trigger": {
"main": [
[
{
"node": "Get top 3 articles",
"type": "main",
"index": 0
}
]
]
},
"Extract words": {
"main": [
[
{
"node": "Translate",
"type": "main",
"index": 0
}
]
]
},
"Get top 3 articles": {
"main": [
[
{
"node": "Extract words",
"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
- Cron
- Hackernews
- Function
- Lingvanex
- Set
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