React to PDFMonkey Callback

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

下载
{
  "id": "s6nTFZfg6xjWyJRX",
  "meta": {
    "instanceId": "4b761cc6ed5ba54435cd56551f1d8f4e82e89d5a18fc96f22d0649b94ad18c78",
    "templateCredsSetupCompleted": true
  },
  "name": "React to PDFMonkey Callback",
  "tags": [],
  "nodes": [
    {
      "id": "bca61663-2317-4f5a-8117-e417ab9ffcb1",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -380
      ],
      "parameters": {
        "width": 860,
        "height": 500,
        "content": "# React to PDFMonkey Callback
When a PDF is generated by PDFMonkey, retrieve the PDF file and use it as needed.

### Configuration
Copy the webhook URL and add it to your PDFMonkey Webhooks dashboard ([PDFMonkey Webhooks](https://dashboard.pdfmonkey.io/webhooks)) to define your N8N callback URL in your PDFMonkey account.

For more information, visit: [PDFMonkey Webhooks Documentation](https://docs.pdfmonkey.io/pdfmonkey-features/webhooks#defining-a-workspace-wide-webhook)


### Usage
On success: Download the generated PDF.
On failure: Handle it as needed. 😉


### Help
Need assistance? Reach out to us via chat on pdfmonkey.io, and we'll do our best to help you! 🚀"
      },
      "typeVersion": 1
    },
    {
      "id": "31ef2b09-e36f-4a9d-8eef-724211d7e2d4",
      "name": "On PDFMonkey generation process end",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -140,
        160
      ],
      "webhookId": "ed9c1bf7-efdd-4d17-8c28-e74c22d017ce",
      "parameters": {
        "path": "ed9c1bf7-efdd-4d17-8c28-e74c22d017ce",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 2
    },
    {
      "id": "08cfde4f-637b-4cf4-a2c2-92e4e15ad6cc",
      "name": "Check if generation was successful",
      "type": "n8n-nodes-base.if",
      "position": [
        120,
        160
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "68eaaea7-d94b-40fd-819f-331261843c67",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.body.document.status }}",
              "rightValue": "success"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "051ec2f5-e96e-41dd-a753-db70cd1a1729",
      "name": "On success: download the PDF file",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        520,
        140
      ],
      "parameters": {
        "url": "={{ $json.body.document.download_url }}",
        "options": {}
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "callerPolicy": "any",
    "executionOrder": "v1"
  },
  "versionId": "56e711af-d87a-4822-9b49-bf7bebd373df",
  "connections": {
    "On success: download the PDF file": {
      "main": [
        []
      ]
    },
    "Check if generation was successful": {
      "main": [
        [
          {
            "node": "On success: download the PDF file",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "On PDFMonkey generation process end": {
      "main": [
        [
          {
            "node": "Check if generation was successful",
            "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

  • Stickynote
  • Webhook
  • If
  • Httprequest

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

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 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