What To Eat
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": "11",
"name": "What To Eat",
"nodes": [
{
"name": "Cron",
"type": "n8n-nodes-base.cron",
"position": [
100,
400
],
"parameters": {
"triggerTimes": {
"item": [
{
"hour": 10
}
]
}
},
"typeVersion": 1
},
{
"name": "Search Criteria",
"type": "n8n-nodes-base.set",
"position": [
300,
400
],
"parameters": {
"values": {
"number": [
{
"name": "RecipeCount",
"value": 3
},
{
"name": "IngredientCount",
"value": 5
},
{
"name": "CaloriesMin"
},
{
"name": "CaloriesMax",
"value": 1500
},
{
"name": "TimeMin"
},
{
"name": "TimeMax",
"value": 30
}
],
"string": [
{
"name": "Diet",
"value": "balanced"
},
{
"name": "Health",
"value": "random"
},
{
"name": "SearchItem",
"value": "chicken"
},
{
"name": "AppID",
"value": "Enter Your Edamam AppID Here"
},
{
"name": "AppKey",
"value": "Enter Your Edamam AppKey Here"
}
]
},
"options": {}
},
"typeVersion": 1
},
{
"name": "Set Query Values",
"type": "n8n-nodes-base.function",
"position": [
500,
400
],
"parameters": {
"functionCode": "items[0].json.calories = items[0].json.CaloriesMin + \"-\" + items[0].json.CaloriesMax;
items[0].json.time = items[0].json.TimeMin + \"-\" + items[0].json.TimeMax;
if (items[0].json.Diet.toUpperCase() == \"RANDOM\") {
arrDiet = [\"balanced\",\"high-fiber\",\"high-protein\",\"low-carb\",\"low-fat\",\"low-sodium\"];
intRandomNumber = Math.floor(Math.random() * 6);
items[0].json.Diet = arrDiet[intRandomNumber];
}
if (items[0].json.Health.toUpperCase() == \"RANDOM\") {
arrHealth = [\"alcohol-free\",\"immuno-supportive\",\"celery-free\",\"crustacean-free\",\"dairy-free\",\"egg-free\",\"fish-free\",\"fodmap-free\",\"gluten-free\",\"keto-friendly\",\"kidney-friendly\",\"kosher\",\"low-potassium\",\"lupine-free\",\"mustard-free\",\"low-fat-abs\",\"no-oil-added\",\"low-sugar\",\"paleo\",\"peanut-free\",\"pecatarian\",\"pork-free\",\"red-meat-free\",\"sesame-free\",\"shellfish-free\",\"soy-free\",\"sugar-conscious\",\"tree-nut-free\",\"vegan\",\"vegetarian\",\"wheat-free\"];
intRandomNumber = Math.floor(Math.random() * 31);
items[0].json.Health = arrHealth[intRandomNumber];
}
return items;"
},
"typeVersion": 1
},
{
"name": "Set Recipe ID Values",
"type": "n8n-nodes-base.function",
"position": [
1080,
400
],
"parameters": {
"functionCode": "items[0].json.from = Math.floor(Math.random() * items[0].json.RecipeCount) + 1;
items[0].json.to = items[0].json.from + items[0].json.ReturnCount;
return items;"
},
"typeVersion": 1
},
{
"name": "Retrieve Recipe Counts",
"type": "n8n-nodes-base.httpRequest",
"position": [
700,
400
],
"parameters": {
"url": "https://api.edamam.com/search",
"options": {},
"queryParametersUi": {
"parameter": [
{
"name": "q",
"value": "={{$node[\"Set Query Values\"].json[\"SearchItem\"]}}"
},
{
"name": "app_id",
"value": "={{$node[\"Set Query Values\"].json[\"AppID\"]}}"
},
{
"name": "app_key",
"value": "={{$node[\"Set Query Values\"].json[\"AppKey\"]}}"
},
{
"name": "ingr",
"value": "={{$node[\"Set Query Values\"].json[\"IngredientCount\"]}}"
},
{
"name": "diet",
"value": "={{$node[\"Set Query Values\"].json[\"Diet\"]}}"
},
{
"name": "calories",
"value": "={{$node[\"Set Query Values\"].json[\"calories\"]}}"
},
{
"name": "time",
"value": "={{$node[\"Set Query Values\"].json[\"time\"]}}"
},
{
"name": "from",
"value": "1"
},
{
"name": "to",
"value": "2"
}
]
}
},
"typeVersion": 1
},
{
"name": "Retrieve Recipes",
"type": "n8n-nodes-base.httpRequest",
"position": [
1260,
400
],
"parameters": {
"url": "https://api.edamam.com/search",
"options": {},
"queryParametersUi": {
"parameter": [
{
"name": "q",
"value": "={{$node[\"Search Criteria\"].json[\"SearchItem\"]}}"
},
{
"name": "app_id",
"value": "={{$node[\"Search Criteria\"].json[\"AppID\"]}}"
},
{
"name": "app_key",
"value": "={{$node[\"Search Criteria\"].json[\"AppKey\"]}}"
},
{
"name": "from",
"value": "={{$node[\"Set Recipe ID Values\"].json[\"from\"]}}"
},
{
"name": "to",
"value": "={{$node[\"Set Recipe ID Values\"].json[\"to\"]}}"
},
{
"name": "ingr",
"value": "={{$node[\"Search Criteria\"].json[\"IngredientCount\"]}}"
},
{
"name": "diet",
"value": "={{$node[\"Search Criteria\"].json[\"Diet\"]}}"
},
{
"name": "calories",
"value": "={{$node[\"Set Query Values\"].json[\"calories\"]}}"
},
{
"name": "time",
"value": "={{$node[\"Set Query Values\"].json[\"time\"]}}"
}
]
}
},
"typeVersion": 1
},
{
"name": "Set Counts",
"type": "n8n-nodes-base.set",
"position": [
880,
400
],
"parameters": {
"values": {
"number": [
{
"name": "RecipeCount",
"value": "={{$node[\"Retrieve Recipe Counts\"].json[\"count\"]}}"
},
{
"name": "ReturnCount",
"value": "={{$node[\"Search Criteria\"].json[\"RecipeCount\"]}}"
}
]
},
"options": {},
"keepOnlySet": true
},
"typeVersion": 1
},
{
"name": "Send Recipes",
"type": "n8n-nodes-base.emailSend",
"position": [
1660,
400
],
"parameters": {
"html": "={{$node[\"Create Email Body in HTML\"].json[\"emailBody\"]}}",
"options": {},
"subject": "={{$node[\"Set Query Values\"].json[\"RecipeCount\"]}} {{$node[\"Set Query Values\"].json[\"Diet\"]}}, {{$node[\"Set Query Values\"].json[\"Health\"]}} {{$node[\"Set Query Values\"].json[\"SearchItem\"]}} recipes under {{$node[\"Set Query Values\"].json[\"CaloriesMax\"]}} calories ready in under {{$node[\"Set Query Values\"].json[\"TimeMax\"]}} minutes",
"toEmail": "Enter Your Email Address Here",
"fromEmail": "Enter Your Email Address Here"
},
"credentials": {
"smtp": "Gmail Creds"
},
"typeVersion": 1
},
{
"name": "Create Email Body in HTML",
"type": "n8n-nodes-base.function",
"position": [
1460,
400
],
"parameters": {
"functionCode": "arrRecipes = items[0].json.hits;
items[0].json = {};
strEmailBody = \"Here are your recipes for today:<br><ul>\";
arrRecipes.forEach(createHTML);
function createHTML(value, index, array) {
strEmailBody = strEmailBody + \"<li><a href=\\"\"+ value.recipe.shareAs + \"\\">\" + value.recipe.label + \"</a></li>\";
}
strEmailBody = strEmailBody + \"</ul>\";
items[0].json.emailBody = strEmailBody
return items;"
},
"typeVersion": 1
}
],
"active": true,
"settings": {},
"connections": {
"Cron": {
"main": [
[
{
"node": "Search Criteria",
"type": "main",
"index": 0
}
]
]
},
"Set Counts": {
"main": [
[
{
"node": "Set Recipe ID Values",
"type": "main",
"index": 0
}
]
]
},
"Search Criteria": {
"main": [
[
{
"node": "Set Query Values",
"type": "main",
"index": 0
}
]
]
},
"Retrieve Recipes": {
"main": [
[
{
"node": "Create Email Body in HTML",
"type": "main",
"index": 0
}
]
]
},
"Set Query Values": {
"main": [
[
{
"node": "Retrieve Recipe Counts",
"type": "main",
"index": 0
}
]
]
},
"Set Recipe ID Values": {
"main": [
[
{
"node": "Retrieve Recipes",
"type": "main",
"index": 0
}
]
]
},
"Retrieve Recipe Counts": {
"main": [
[
{
"node": "Set Counts",
"type": "main",
"index": 0
}
]
]
},
"Create Email Body in HTML": {
"main": [
[
{
"node": "Send Recipes",
"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
- Set
- Function
- Httprequest
- Emailsend
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