876 lines
22 KiB
Markdown
876 lines
22 KiB
Markdown
# 易盾内容安全 API 调用文档
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## 📋 目录
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- [概述](#概述)
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- [配置说明](#配置说明)
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- [API接口列表](#api接口列表)
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- [文本检测](#1-文本检测)
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- [图片检测](#2-图片检测)
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- [视频检测](#3-视频检测)
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- [错误码说明](#错误码说明)
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---
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## 概述
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本项目集成了网易易盾内容安全SDK，提供文本、图片、视频的内容安全检测服务。
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### 产品凭证
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| 检测类型 | SecretID | SecretKey | BusinessID |
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|---------|----------|-----------|------------|
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| **音视频检测** | f58a38341ca6227014df7c3bf0e6f16f | 526aa631ba5d518aedeb70b5a3b67371 | 需从易盾控制台获取 |
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| **图片检测** | 9a82f90bfec61eb40d1c95605b894817 | f73a78954417a3713c36ec2d14eb2b5f | 需从易盾控制台获取 |
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| **文本检测** | 待配置 | 待配置 | 待配置 |
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### 服务地址
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```
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http://localhost:3002
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```
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---
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## 配置说明
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配置文件位置：`config.yml`
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```yaml
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yidun:
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# 音视频检测配置
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video:
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business_id: "YOUR_VIDEO_BUSINESS_ID"
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secret_id: "f58a38341ca6227014df7c3bf0e6f16f"
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secret_key: "526aa631ba5d518aedeb70b5a3b67371"
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# 图片检测配置
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image:
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business_id: "YOUR_IMAGE_BUSINESS_ID"
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secret_id: "9a82f90bfec61eb40d1c95605b894817"
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secret_key: "f73a78954417a3713c36ec2d14eb2b5f"
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# 文本检测配置
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text:
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business_id: "YOUR_TEXT_BUSINESS_ID"
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secret_id: "YOUR_TEXT_SECRET_ID"
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secret_key: "YOUR_TEXT_SECRET_KEY"
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```
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---
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## API接口列表
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| 接口名称 | 请求方法 | 路径 | 说明 |
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|---------|---------|------|------|
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| 文本检测提交 | POST | `/yidun/detect-text` | 提交文本进行异步检测 |
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| 图片检测提交 | POST | `/yidun/detect-image` | 提交图片进行异步检测 |
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| 视频检测提交 | POST | `/yidun/detect-video` | 提交视频进行检测 |
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| 图片结果查询 | POST | `/yidun/GetImageResult` | 查询图片检测结果（轮询模式） |
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| 图片检测回调 | POST | `/yidun/receive-image-callback` | 接收图片检测结果推送（推送模式） |
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| 视频结果查询 | POST | `/yidun/GetVideoResult` | 查询视频检测结果（轮询模式） |
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| 视频检测回调 | POST | `/yidun/receive-video-callback` | 接收视频检测结果推送（推送模式） |
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**注意**：检测结果是异步的，提交接口只返回 `task_id`，需要通过回调或轮询获取结果。
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---
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## 1. 文本检测
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### 提交文本检测任务
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**接口地址**: `POST /yidun/detect-text`
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**请求参数**:
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| 参数名 | 类型 | 必填 | 说明 |
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|--------|------|------|------|
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| data_id | string | 是 | 数据唯一标识 |
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| content | string | 是 | 待检测的文本内容 |
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| ip | string | 否 | 用户IP地址 |
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| token | string | 否 | 用户token（反作弊） |
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**请求示例**:
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```bash
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curl -X POST http://localhost:3002/yidun/detect-text \
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-H "Content-Type: application/json" \
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-d '{
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"data_id": "text-001",
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"content": "这是一段需要检测的文本内容",
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"ip": "192.168.1.100"
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}'
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```
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**响应示例**:
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```json
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{
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"code": 0,
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"message": "",
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"data": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6"
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}
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```
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**响应说明**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| data | string | 任务ID (task_id)，用于后续查询检测结果 |
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---
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## 2. 图片检测
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### 2.1 提交图片检测任务
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**接口地址**: `POST /yidun/detect-image`
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**请求参数**:
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| 参数名 | 类型 | 必填 | 说明 |
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|--------|------|------|------|
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| data_id | string | 是 | 数据唯一标识 |
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| image_url | string | 是 | 图片URL地址 |
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| callback_url | string | 否 | 回调地址 |
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**请求示例**:
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```bash
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curl -X POST http://localhost:3002/yidun/detect-image \
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-H "Content-Type: application/json" \
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-d '{
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"data_id": "img-001",
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"image_url": "https://example.com/image.jpg"
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}'
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```
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**响应示例**:
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```json
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{
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"code": 0,
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"message": "",
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"data": {
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"taskId": "b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7",
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"name": "img-001",
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"dataId": "img-001",
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"dealingCount": 0
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}
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}
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```
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**响应说明**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| taskId | string | 任务ID，用于后续查询检测结果 |
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| name | string | 图片唯一标识 |
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| dataId | string | 客户图片唯一标识 |
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| dealingCount | int64 | 缓冲池排队待处理数据量 |
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### 2.2 查询图片检测结果（轮询模式）
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**接口地址**: `POST /yidun/GetImageResult`
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**SDK调用信息**:
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- SDK方法: `ImageClient.ImageCallback(request)`
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- 请求地址: `http://as.dun.163.com/v5/image/callback/results`
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- 请求参数: `yidunRequestId` (taskId)
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**请求示例**:
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```bash
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curl -X POST "http://localhost:3002/yidun/GetImageResult" \
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-H "Content-Type: application/json" \
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-d '{"taskId": "b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7"}'
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```
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**响应示例**:
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```json
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{
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"code": 0,
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"message": "",
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"data": {
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"taskId": "b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7",
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"status": 2,
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"suggestion": 0,
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"label": 100,
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"resultType": 2,
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"dataId": "img-001",
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"name": "img-001",
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"censorTime": 1629426386079,
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"url": "https://example.com/image.jpg",
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"antispam": {
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"taskId": "b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7",
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"name": "img-001",
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"dataId": "img-001",
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"status": 2,
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"suggestion": 0,
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"label": 100,
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"resultType": 2,
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"censorTime": 1629426386079,
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"censorSource": 0,
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"censorRound": 1,
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"labels": [
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{
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"label": 400,
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"level": 2,
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"rate": 1.0
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}
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],
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"censorLabels": [
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{
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"code": "审核标签编码",
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"customCode": "自定义标签编码",
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"name": "审核标签名称",
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"desc": "风景"
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}
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],
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"remark": "人审备注信息"
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},
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"ocr": { ... },
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"face": { ... },
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"quality": { ... },
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"logo": { ... },
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"discern": { ... },
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"ad": { ... },
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"userRisk": { ... },
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"anticheat": { ... },
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"riskControl": { ... },
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"aigc": { ... },
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"llmCheckInfo": [ ... ]
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}
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}
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```
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**antispam 字段完整说明**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| taskId | string | 任务ID |
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| name | string | 图片名称 |
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| dataId | string | 客户数据ID |
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| status | int | 检测状态：0=未开始，1=检测中，2=检测成功，3=检测失败 |
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| suggestion | int | 处置建议：0=通过，1=嫌疑，2=不通过 |
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| label | int | 一级分类 |
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| secondLabel | string | 二级分类 |
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| thirdLabel | string | 三级分类 |
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| riskDescription | string | 风险描述 |
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| resultType | int | 结果类型：1=机器结果，2=人审结果 |
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| censorTime | int64 | 审核完成时间(毫秒时间戳) |
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| censorSource | int | 审核来源 |
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| censorRound | int | 审核轮数 |
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| censorLabels | array | 审核标签数组 |
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| remark | string | 审核备注 |
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| overAllMarkDesc | string | 整体审核备注 |
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| detailMarks | array | 细节标注 |
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| labels | array | 分类标签详情 |
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| url | string | 图片URL |
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| imgMd5 | string | 图片MD5 |
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| frameSize | int | 分帧数 |
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| customLabels | array | 客户自定义标签 |
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| censorExtension | object | 人审拓展字段 |
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| strategyVersions | array | 策略版本 |
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| hitType | int | 命中策略类型 |
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| strategyType | int | 策略类型：1=公有策略，2=私有策略 |
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| hitResult | string | 命中结果 |
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| hitSource | int | 特征添加来源 |
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| hidden | bool | 是否有隐藏文件 |
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| hiddenFormat | string | 隐藏文件格式 |
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| publicOpinionInfo | string | 舆情信息 |
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**labels 数组结构**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| label | int | 标签类型 |
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| level | int | 判断结果：0=正常，1=不确定，2=确定 |
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| rate | float | 置信度 |
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| subLabels | array | 二级分类详情 |
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| explain | string | LLM解释说明 |
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| isLlmCheck | bool | 是否LLM检测命中 |
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**censorLabels 数组结构**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| code | string | 审核标签编码 |
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| customCode | string | 自定义标签编码 |
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| name | string | 审核标签名称 |
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| desc | string | 审核标签描述 |
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| parentLabelId | string | 父标签ID |
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| depth | int | 标签深度 |
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### 2.3 接收图片检测回调（推送模式）
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**接口地址**: `POST /yidun/receive-image-callback`
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**易盾回调配置**:
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- HTTP URL: 回调地址 `callbackUrl`
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- HTTP Method: POST
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- Content-Type: application/x-www-form-urlencoded
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**请求参数** (form-data):
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| 参数名 | 类型 | 必填 | 说明 |
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|--------|------|------|------|
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| secretId | string | 是 | 产品密钥ID |
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| businessId | string | 是 | 业务ID |
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| signature | string | 是 | 请求签名 |
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| callbackData | string | 是 | 回调数据(JSON字符串) |
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**请求体示例**:
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```
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callbackData={"antispam":{...}}&signature=xxx&secretId=xxx&businessId=xxx
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```
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**回调数据格式**:
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```json
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{
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"antispam": {
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"taskId": "a2e53718f9c348d09206e4671304ca7c",
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"suggestion": 2,
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"remark": "人审备注信息，填写才会返回",
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"dataId": "dataId",
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"name": "name",
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"labels": [
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{
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"label": 400,
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"level": 2,
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"rate": 1.0
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},
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{
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"label": 500,
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"level": 0,
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"rate": 1.0
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}
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],
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"censorLabels": [
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{
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"code": "审核标签编码",
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"customCode": "自定义标签编码",
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"name": "审核标签名称",
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"desc": "风景"
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}
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],
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"resultType": 2,
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"censorTime": 1622036595467,
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"censorSource": 0,
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"censorRound": 1
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}
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}
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```
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**Suggestion值说明**:
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| 值 | 含义 |
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|----|------|
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| 0 | 通过 |
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| 1 | 嫌疑，需人工审核 |
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| 2 | 不通过 |
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**Status值说明**:
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| 值 | 含义 |
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|----|------|
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| 0 | 未开始 |
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| 1 | 检测中 |
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| 2 | 检测成功 |
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| 3 | 检测失败 |
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---
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## 3. 视频检测
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### 提交视频检测任务
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**接口地址**: `POST /yidun/detect-video`
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**请求参数**:
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| 参数名 | 类型 | 必填 | 说明 |
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|--------|------|------|------|
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| data_id | string | 是 | 数据唯一标识 |
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| video_url | string | 是 | 视频URL地址 |
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| callback_url | string | 否 | 回调地址 |
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**请求示例**:
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```bash
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curl -X POST http://localhost:3002/yidun/detect-video \
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-H "Content-Type: application/json" \
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-d '{
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"data_id": "video-001",
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"video_url": "https://example.com/video.mp4"
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}'
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```
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**响应示例**:
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```json
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{
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"code": 0,
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"message": "",
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"data": {
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"taskId": "c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7r8",
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"dataId": "video-001",
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"dealingCount": 0
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}
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}
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```
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**响应说明**:
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| 字段名 | 类型 | 说明 |
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|--------|------|------|
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| taskId | string | 任务ID，用于后续查询检测结果 |
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| dataId | string | 调用检测时传递的数据ID |
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| dealingCount | int64 | 缓冲池排队待处理数据量 |
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**注意**: 视频检测是异步的，检测时间取决于视频长度（几分钟到几十分钟）。建议配置回调地址接收结果。
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### 3.2 查询视频检测结果（轮询模式）
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**接口地址**: `POST /yidun/GetVideoResult`
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**SDK调用信息**:
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- SDK方法: `VideoClient.Callback(request)`
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- 请求地址: `http://as.dun.163.com/v2/videosolution/callback/results`
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- 请求参数: `yidunRequestId` (taskId)
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**请求示例**:
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```bash
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curl -X POST "http://localhost:3002/yidun/GetVideoResult" \
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-H "Content-Type: application/json" \
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-d '{"taskId": "c3d4e5f6g7h8i9j0k1l2m3n4o5p6q7r8"}'
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```
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**响应示例**:
|
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|
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```json
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{
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"code": 0,
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"message": "",
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"data": {
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"taskId": "18xrunm6fr35t49nnv506ukg02009q66",
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"status": 2,
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"suggestion": 2,
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"label": 100,
|
||
"resultType": 1,
|
||
"dataId": "video-001",
|
||
"censorTime": 1633759853762,
|
||
"duration": 71339,
|
||
"antispam": {
|
||
"taskId": "18xrunm6fr35t49nnv506ukg02009q66",
|
||
"suggestion": 2,
|
||
"status": 2,
|
||
"resultType": 1,
|
||
"censorSource": 2,
|
||
"checkTime": 1633759861164,
|
||
"censorTime": 1633759853762,
|
||
"duration": 71339,
|
||
"censorLabels": [
|
||
{
|
||
"code": "101",
|
||
"desc": "自定义标签",
|
||
"customCode": "68684"
|
||
}
|
||
],
|
||
"evidences": {
|
||
"images": [...],
|
||
"text": {...},
|
||
"audio": {...},
|
||
"video": {...}
|
||
}
|
||
},
|
||
"language": { ... },
|
||
"voice": { ... },
|
||
"asr": { ... },
|
||
"ocr": { ... },
|
||
"discern": { ... },
|
||
"logo": { ... },
|
||
"face": { ... },
|
||
"aigc": { ... },
|
||
"quality": { ... }
|
||
}
|
||
}
|
||
```
|
||
|
||
**antispam 字段完整说明**:
|
||
|
||
| 字段名 | 类型 | 说明 |
|
||
|--------|------|------|
|
||
| taskId | string | 任务ID |
|
||
| dataId | string | 客户数据ID |
|
||
| callback | string | 回调参数 |
|
||
| suggestion | int | 处置建议：0=通过，1=嫌疑，2=不通过 |
|
||
| status | int | 检测状态：0=未开始，1=检测中，2=检测成功，3=检测失败 |
|
||
| resultType | int | 结果类型：1=机器结果，2=人审结果 |
|
||
| censorRound | int | 人审轮次 |
|
||
| censor | string | 人审操作人 |
|
||
| censorSource | int | 审核来源：0=易盾人审，1=客户人审，2=易盾机审 |
|
||
| checkTime | int64 | 机器检测结束时间 |
|
||
| censorTime | int64 | 人工审核完成时间 |
|
||
| duration | int64 | 音视频时长(毫秒) |
|
||
| durationMs | int64 | 音频时长(毫秒) |
|
||
| label | int | 一级垃圾类型 |
|
||
| secondLabel | string | 二级垃圾类型 |
|
||
| thirdLabel | string | 三级垃圾类型 |
|
||
| riskDescription | string | 风险描述 |
|
||
| picCount | int64 | 截图数量 |
|
||
| censorLabels | array | 审核标签数组 |
|
||
| censorExtension | object | 质检扩展结果 |
|
||
| evidences | object | 机器检测证据信息 |
|
||
| solutionExtra | object | 额外信息 |
|
||
| reviewEvidences | object | 人审证据信息 |
|
||
|
||
**evidences 对象说明**:
|
||
|
||
| 字段名 | 类型 | 说明 |
|
||
|--------|------|------|
|
||
| text | object | 文本证据（标题、简介等） |
|
||
| images | array | 图片证据（封面、截图中的图片） |
|
||
| audio | object | 音频证据（人声内容） |
|
||
| video | object | 视频证据（视频画面） |
|
||
|
||
**CensorSource值说明**:
|
||
|
||
| 值 | 含义 |
|
||
|----|------|
|
||
| 0 | 易盾人审 |
|
||
| 1 | 客户人审 |
|
||
| 2 | 易盾机审 |
|
||
|
||
### 3.3 接收视频检测回调（推送模式）
|
||
|
||
**接口地址**: `POST /yidun/receive-video-callback`
|
||
|
||
**易盾回调配置**:
|
||
- HTTP URL: 回调地址 `callbackUrl`
|
||
- HTTP Method: POST
|
||
- Content-Type: application/x-www-form-urlencoded
|
||
|
||
**请求参数** (form-data):
|
||
|
||
| 参数名 | 类型 | 必填 | 说明 |
|
||
|--------|------|------|------|
|
||
| secretId | string | 是 | 产品密钥ID |
|
||
| signature | string | 是 | 请求签名 |
|
||
| callbackData | string | 是 | 回调数据(JSON字符串) |
|
||
|
||
**请求体示例**:
|
||
|
||
```
|
||
callbackData={"antispam":{...}}&signature=xxx&secretId=xxx
|
||
```
|
||
|
||
**回调数据格式**:
|
||
|
||
```json
|
||
{
|
||
"antispam": {
|
||
"taskId": "18xrunm6fr35t49nnv506ukg02009q66",
|
||
"suggestion": 2,
|
||
"status": 2,
|
||
"resultType": 1,
|
||
"censorSource": 2,
|
||
"checkTime": 1633759861164,
|
||
"censorTime": 1633759853762,
|
||
"duration": 71339,
|
||
"censorLabels": [
|
||
{
|
||
"code": "101",
|
||
"desc": "自定义标签",
|
||
"customCode": "68684"
|
||
}
|
||
],
|
||
"evidences": {
|
||
"images": [
|
||
{
|
||
"censorType": 0,
|
||
"labels": [
|
||
{
|
||
"label": 100,
|
||
"level": 2,
|
||
"rate": 0.9999,
|
||
"subLabels": [
|
||
{
|
||
"details": {
|
||
"hitInfos": [
|
||
{
|
||
"group": "色情部位分组",
|
||
"value": "女胸"
|
||
}
|
||
]
|
||
},
|
||
"rate": 1,
|
||
"subLabel": 10002
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"name": "gpqis0e92czvfliemjpa3neg02009q6a",
|
||
"resultType": 1,
|
||
"status": 2,
|
||
"suggestion": 2,
|
||
"taskId": "0b2dd0e561a8457fbfcf7d79378eec37"
|
||
}
|
||
],
|
||
"text": {
|
||
"taskId": "44i3effo1j5w5for9l8xtdjg02009q6a",
|
||
"suggestion": 2,
|
||
"resultType": 1,
|
||
"censorType": 0,
|
||
"isRelatedHit": false,
|
||
"labels": [
|
||
{
|
||
"label": 200,
|
||
"level": 2,
|
||
"subLabels": [
|
||
{
|
||
"subLabel": "200009",
|
||
"details": {
|
||
"hitInfos": [
|
||
{
|
||
"value": "加我",
|
||
"positions": [
|
||
{
|
||
"fieldName": "content",
|
||
"startPos": 5,
|
||
"endPos": 8
|
||
}
|
||
]
|
||
}
|
||
]
|
||
}
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
"audio": {
|
||
"taskId": "18xrunm6fr35t49nnv506ukg02009q66",
|
||
"dataId": "",
|
||
"status": 2,
|
||
"suggestion": 2,
|
||
"label": 100,
|
||
"resultType": 1,
|
||
"callback": "",
|
||
"censorSource": 2,
|
||
"censorTime": 1633759861065,
|
||
"segments": [
|
||
{
|
||
"startTime": 0,
|
||
"endTime": 6,
|
||
"content": "第一次用这个软件上了半天，全是长得漂亮呢？",
|
||
"type": 0,
|
||
"labels": [
|
||
{
|
||
"label": 100,
|
||
"level": 2,
|
||
"subLabels": [
|
||
{
|
||
"subLabel": "100001",
|
||
"details": {
|
||
"hitInfos": [
|
||
{
|
||
"value": "120",
|
||
"startTime": 1684201,
|
||
"endTime": 1684201
|
||
}
|
||
],
|
||
"keywords": [
|
||
{
|
||
"word": "自定义敏感词"
|
||
}
|
||
],
|
||
"libInfos": [
|
||
{
|
||
"listType": 1,
|
||
"entity": "127.0.0.1"
|
||
}
|
||
]
|
||
}
|
||
}
|
||
]
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"duration": 71
|
||
},
|
||
"video": {
|
||
"taskId": "18xrunm6fr35t49nnv506ukg02009q66",
|
||
"dataId": "",
|
||
"status": 2,
|
||
"suggestion": 2,
|
||
"resultType": 1,
|
||
"censorSource": 2,
|
||
"censorTime": 1633759858920,
|
||
"pictures": [
|
||
{
|
||
"type": 1,
|
||
"url": "https://xxx.nosdn.127.net/xxx.jpg",
|
||
"startTime": 5000,
|
||
"endTime": 5000,
|
||
"labels": [
|
||
{
|
||
"label": 100,
|
||
"level": 2,
|
||
"rate": 0.95157,
|
||
"subLabels": [
|
||
{
|
||
"subLabel": 10007,
|
||
"rate": 0.926,
|
||
"details": {
|
||
"hitInfos": [
|
||
{
|
||
"value": "卡通色情",
|
||
"group": "色情部位分组"
|
||
}
|
||
]
|
||
}
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"censorSource": 2,
|
||
"frontPics": [
|
||
{
|
||
"url": "https://xxx.nosdn.127.net/xxx_0_0.jpg"
|
||
}
|
||
],
|
||
"backPics": [
|
||
{
|
||
"url": "https://xxx.nosdn.127.net/xxx_2_10000.jpg"
|
||
}
|
||
]
|
||
}
|
||
]
|
||
}
|
||
}
|
||
}
|
||
}
|
||
```
|
||
|
||
**Suggestion值说明**:
|
||
|
||
| 值 | 含义 |
|
||
|----|------|
|
||
| 0 | 通过 |
|
||
| 1 | 嫌疑，需人工审核 |
|
||
| 2 | 不通过 |
|
||
|
||
**Status值说明**:
|
||
|
||
| 值 | 含义 |
|
||
|----|------|
|
||
| 0 | 未开始 |
|
||
| 1 | 检测中 |
|
||
| 2 | 检测成功 |
|
||
| 3 | 检测失败 |
|
||
|
||
**images/images.labels 结构说明**:
|
||
|
||
| 字段名 | 类型 | 说明 |
|
||
|--------|------|------|
|
||
| label | int | 标签类型 |
|
||
| level | int | 级别：0=正常，1=嫌疑，2=确定违规 |
|
||
| rate | float | 置信度 |
|
||
| subLabels | array | 二级分类详情 |
|
||
| subLabels.details.hitInfos | array | 命中信息 |
|
||
| subLabels.details.hitInfos.group | string | 分组名称 |
|
||
| subLabels.details.hitInfos.value | string | 命中值 |
|
||
|
||
**audio.segments 结构说明**:
|
||
|
||
| 字段名 | 类型 | 说明 |
|
||
|--------|------|------|
|
||
| startTime | int | 开始时间(秒) |
|
||
| endTime | int | 结束时间(秒) |
|
||
| content | string | 语音识别原文 |
|
||
| type | int | 片段类型：0=语音识别，1=声纹检测 |
|
||
| labels | array | 分类标签 |
|
||
| labels.details.keywords | array | 自定义敏感词 |
|
||
| labels.details.libInfos | array | 自定义名单 |
|
||
| labels.details.hitInfos | array | 命中内容 |
|
||
|
||
**video.pictures 结构说明**:
|
||
|
||
| 字段名 | 类型 | 说明 |
|
||
|--------|------|------|
|
||
| type | int | 截图类型 |
|
||
| url | string | 截图URL |
|
||
| startTime | int64 | 开始时间(毫秒) |
|
||
| endTime | int64 | 结束时间(毫秒) |
|
||
| labels | array | 分类标签 |
|
||
| frontPics | array | 关联前帧图片 |
|
||
| backPics | array | 关联后帧图片 |
|
||
|
||
---
|
||
|
||
## 错误码说明
|
||
|
||
| code | 说明 |
|
||
|------|------|
|
||
| 0 | 成功 |
|
||
| 400 | 请求参数错误 |
|
||
| 500 | 服务器内部错误 |
|
||
|
||
**易盾API错误码**:
|
||
|
||
| 错误码 | 说明 |
|
||
|--------|------|
|
||
| 200 | 成功 |
|
||
| 401 | 认证失败（SecretID/SecretKey错误） |
|
||
| 403 | 权限不足 |
|
||
| 429 | 请求频率超限 |
|
||
|
||
---
|
||
|
||
## Go代码调用示例
|
||
|
||
```go
|
||
// 文本检测
|
||
func detectText() (string, error) {
|
||
req := map[string]interface{}{
|
||
"data_id": "text-001",
|
||
"content": "这是一段测试文本",
|
||
}
|
||
jsonData, _ := json.Marshal(req)
|
||
resp, err := http.Post("http://localhost:3002/yidun/detect-text", "application/json", bytes.NewBuffer(jsonData))
|
||
// ...
|
||
}
|
||
|
||
// 图片检测
|
||
func detectImage() (string, error) {
|
||
req := map[string]interface{}{
|
||
"data_id": "img-001",
|
||
"image_url": "https://example.com/image.jpg",
|
||
}
|
||
jsonData, _ := json.Marshal(req)
|
||
resp, err := http.Post("http://localhost:3002/yidun/detect-image", "application/json", bytes.NewBuffer(jsonData))
|
||
// ...
|
||
}
|
||
|
||
// 视频检测
|
||
func detectVideo() (string, error) {
|
||
req := map[string]interface{}{
|
||
"data_id": "video-001",
|
||
"video_url": "https://example.com/video.mp4",
|
||
}
|
||
jsonData, _ := json.Marshal(req)
|
||
resp, err := http.Post("http://localhost:3002/yidun/detect-video", "application/json", bytes.NewBuffer(jsonData))
|
||
// ...
|
||
}
|
||
```
|
||
|
||
---
|
||
|
||
**最后更新**: 2026-05-07
|