upload-post images

工作流概述

这是一个包含10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

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{
  "id": "ra8MrqshnzXPy55O",
  "meta": {
    "instanceId": "3378b0d68c3b7ebfc71b79896d94e1a044dec38e99a1160aed4e9c323910fbe2"
  },
  "name": "upload-post images",
  "tags": [],
  "nodes": [
    {
      "id": "7d899b35-ae00-418a-b890-e318f6d61f7a",
      "name": "POST TO INSTAGRAM1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        820,
        -220
      ],
      "parameters": {
        "url": "https://api.upload-post.com/api/upload_photos",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "multipart-form-data",
        "sendHeaders": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "title",
              "value": "title-ig"
            },
            {
              "name": "user",
              "value": "user_name"
            },
            {
              "name": "platform[]",
              "value": "instagram"
            },
            {
              "name": "photos[]",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "=photo1"
            },
            {
              "name": "photos[]",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "photo2"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Apikey api"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "025c1aa3-acf2-4211-93e1-9df2182bbf07",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -840,
        -360
      ],
      "parameters": {
        "color": 6,
        "width": 1880,
        "height": 660,
        "content": "# POST : to Instagram"
      },
      "typeVersion": 1
    },
    {
      "id": "7a98a200-3c96-45f8-a4d2-860c74d81c1f",
      "name": "Merge",
      "type": "n8n-nodes-base.merge",
      "position": [
        220,
        -120
      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "d7bd532e-b07a-43f8-9ceb-c4dad685734d",
      "name": "Change name to photo1",
      "type": "n8n-nodes-base.code",
      "position": [
        -100,
        -220
      ],
      "parameters": {
        "jsCode": "return items.map((item, index) => {
  // Grab the existing binary buffer under \"data\"
  const buffer = item.binary.data;
  // Build a new item with the renamed binary key
  return {
    json: item.json,
    binary: {
      // Rename to photo1, photo2, ...
      [`photo${index + 1}`]: buffer
    }
  };
});
"
      },
      "typeVersion": 2
    },
    {
      "id": "f5efe3ce-c8b9-445a-8667-fefc3dc36545",
      "name": "Change name to photo2",
      "type": "n8n-nodes-base.code",
      "position": [
        -100,
        -20
      ],
      "parameters": {
        "jsCode": "return items.map((item, index) => {
  // Grab the existing binary buffer under \"data\"
  const buffer = item.binary.data;
  // Build a new item with the renamed binary key
  return {
    json: item.json,
    binary: {
      // Rename to photo1, photo2, ...
      [`photo${index + 2}`]: buffer
    }
  };
});
"
      },
      "typeVersion": 2
    },
    {
      "id": "4901b1f3-12e7-4f7d-b87a-5582d2319237",
      "name": "Send as 1 merged file",
      "type": "n8n-nodes-base.code",
      "position": [
        520,
        -120
      ],
      "parameters": {
        "jsCode": "// Merge all incoming items (each with one binary photoX) into one item
const mergedItem = {
  json: {},
  binary: {}
};

for (const item of items) {
  // Copy every binary field from each item into mergedItem.binary
  for (const [key, bin] of Object.entries(item.binary || {})) {
    mergedItem.binary[key] = bin;
  }
}

// Return a single-item array
return [mergedItem];
"
      },
      "typeVersion": 2
    },
    {
      "id": "34a88bd7-6302-4f22-aec0-d4318beceffa",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -760,
        -120
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e710233a-e408-4718-9d1d-3a373fad33b8",
      "name": "POST TO TIKTOK",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        820,
        -20
      ],
      "parameters": {
        "url": "https://api.upload-post.com/api/upload_photos",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "multipart-form-data",
        "sendHeaders": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "title",
              "value": "title-ig"
            },
            {
              "name": "user",
              "value": "user_name"
            },
            {
              "name": "platform[]",
              "value": "tiktok"
            },
            {
              "name": "photos[]",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "=photo1"
            },
            {
              "name": "photos[]",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "photo2"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Apikey api"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "000f92e8-64df-4ebd-a608-d5b0d2e1a5c4",
      "name": "Get Image 1",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -420,
        -220
      ],
      "parameters": {
        "url": "https://upload.wikimedia.org/wikipedia/commons/7/70/Example.png",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "f15f5cd5-9ca5-4ab7-bc66-32f7a3ec1e0c",
      "name": "Get Image 2",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -420,
        -20
      ],
      "parameters": {
        "url": "https://upload.wikimedia.org/wikipedia/commons/7/70/Example.png",
        "options": {}
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "d79c90a0-bb65-45b1-9d1b-c6af98f8480b",
  "connections": {
    "Merge": {
      "main": [
        [
          {
            "node": "Send as 1 merged file",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Image 1": {
      "main": [
        [
          {
            "node": "Change name to photo1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get Image 2": {
      "main": [
        [
          {
            "node": "Change name to photo2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Change name to photo1": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Change name to photo2": {
      "main": [
        [
          {
            "node": "Merge",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Send as 1 merged file": {
      "main": [
        [
          {
            "node": "POST TO INSTAGRAM1",
            "type": "main",
            "index": 0
          },
          {
            "node": "POST TO TIKTOK",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Get Image 1",
            "type": "main",
            "index": 0
          },
          {
            "node": "Get Image 2",
            "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

  • Httprequest
  • Stickynote
  • Merge
  • Code
  • Manualtrigger

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