feat(clients): 添加第三方 API 客户端基础库及示例实现

- 新增 BaseAPIClient 抽象基类,提供连接池管理、自动重试、超时控制、日志记录和链路追踪功能
- 实现基于 httpx 的 HTTPClient,支持异步请求、JSON 和表单数据、连接池优化
- 提供示例客户端 ExampleAPIClient,展示如何继承自定义第三方服务客户端
- 编写详细的第三方 API 客户端使用指南文档,包含模块划分、核心组件、快速开始及最佳实践
- 集成 OpenTelemetry 追踪,实现请求全链路追踪和错误记录
- 支持 FastAPI 依赖注入和应用生命周期管理客户端实例
- 完善自动重试策略,包含指数退避和可重试异常分类
- 实现敏感请求头自动脱敏,防止日志泄露敏感数据
- 增加客户端健康检查接口,验证服务可用性
- 编写完整单元测试,覆盖客户端初始化、请求发送、重试逻辑及上下文管理器用法
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# 第三方 API 客户端使用指南
本目录提供了用于集成第三方 API 的基础客户端封装,包含连接池管理、自动重试、日志记录、链路追踪等功能。
## 📁 模块划分原则
### **Core 层客户端** (`core/clients/`)
放置多个应用共享的第三方 API 客户端:
- 平台级服务 (微信、支付宝、短信服务等)
- 通用基础设施客户端
- 公共 SaaS 服务
### **应用层客户端** (`apps/{app_name}/clients/`)
放置单个应用专用的第三方 API 客户端:
- 特定业务的外部服务
- 垂直领域的专用接口
- 应用独有的集成
---
## 🏗️ 核心组件
### 1. `BaseAPIClient` - 基础客户端类
提供所有 API 客户端的通用功能:
- ✅ 连接池管理
- ✅ 自动重试 (指数退避)
- ✅ 超时控制
- ✅ 请求/响应日志
- ✅ OpenTelemetry 链路追踪
- ✅ 健康检查
### 2. `HTTPClient` - HTTP 客户端
基于 `httpx` 的异步 HTTP 客户端封装:
- ✅ GET/POST/PUT/PATCH/DELETE 方法
- ✅ JSON 和表单数据支持
- ✅ 查询参数处理
- ✅ 自定义请求头
- ✅ 连接池优化
---
## 🚀 快速开始
### 基础使用
```python
from core.clients.http_client import HTTPClient
# 创建客户端
client = HTTPClient(
base_url="https://api.example.com",
timeout=30.0,
max_retries=3,
headers={"Authorization": "Bearer YOUR_TOKEN"}
)
# 使用上下文管理器 (推荐)
async with client:
# GET 请求
response = await client.get("/users/123")
data = response.json()
# POST 请求
response = await client.post(
"/users",
json={"name": "John", "email": "john@example.com"}
)
# 带查询参数的请求
response = await client.get(
"/users",
params={"page": 1, "page_size": 10}
)
# 手动关闭
await client.close()
```
### 创建自定义客户端
```python
from typing import Any
from core.clients.http_client import HTTPClient
from core.config import settings
class WeChatAPIClient(HTTPClient):
"""微信 API 客户端"""
def __init__(
self,
app_id: str,
app_secret: str,
) -> None:
super().__init__(
base_url="https://api.weixin.qq.com",
timeout=30.0,
max_retries=3,
trace_enabled=settings.otel_enabled,
)
self.app_id = app_id
self.app_secret = app_secret
self._access_token: str | None = None
async def get_access_token(self) -> str:
"""获取访问令牌"""
if self._access_token:
return self._access_token
response = await self.get(
"/cgi-bin/token",
params={
"grant_type": "client_credential",
"appid": self.app_id,
"secret": self.app_secret,
}
)
data = response.json()
self._access_token = data["access_token"]
return self._access_token
async def send_template_message(
self,
openid: str,
template_id: str,
data: dict[str, Any],
) -> dict[str, Any]:
"""发送模板消息"""
access_token = await self.get_access_token()
response = await self.post(
"/cgi-bin/message/template/send",
params={"access_token": access_token},
json={
"touser": openid,
"template_id": template_id,
"data": data,
}
)
return response.json()
```
---
## 🔌 FastAPI 集成
### 1. 创建依赖注入函数
```python
# core/clients/wechat.py
from typing import Optional
from core.clients.http_client import HTTPClient
from core.config import settings
_wechat_client: Optional[WeChatAPIClient] = None
async def get_wechat_client() -> WeChatAPIClient:
"""获取微信 API 客户端实例 (用于依赖注入)"""
global _wechat_client
if _wechat_client is None:
_wechat_client = WeChatAPIClient(
app_id=settings.wechat_app_id,
app_secret=settings.wechat_app_secret,
)
return _wechat_client
async def close_wechat_client() -> None:
"""关闭微信 API 客户端"""
global _wechat_client
if _wechat_client:
await _wechat_client.close()
_wechat_client = None
```
### 2. 在路由中使用
```python
from fastapi import APIRouter, Depends
from core.clients.wechat import get_wechat_client, WeChatAPIClient
router = APIRouter(prefix="/wechat", tags=["WeChat"])
@router.post("/send-message")
async def send_wechat_message(
openid: str,
message: str,
client: WeChatAPIClient = Depends(get_wechat_client)
):
"""发送微信消息"""
result = await client.send_template_message(
openid=openid,
template_id="your_template_id",
data={"content": {"value": message}}
)
return {"success": True, "result": result}
```
### 3. 在应用生命周期中管理
```python
# main.py
from core.clients.wechat import close_wechat_client
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup
logger.info("Starting application...")
yield
# Shutdown
logger.info("Shutting down application...")
await close_wechat_client() # 关闭第三方客户端
```
---
## ⚙️ 配置说明
`core/config.py` 中添加第三方 API 配置:
```python
class Settings(BaseSettings):
# WeChat API
wechat_app_id: str = Field(default="", description="微信 AppID")
wechat_app_secret: str = Field(default="", description="微信 AppSecret")
# Payment API
payment_api_key: str = Field(default="", description="支付 API 密钥")
payment_base_url: str = Field(default="https://api.payment.com", description="支付 API 地址")
```
环境变量:
```bash
# .env
WECHAT_APP_ID=wx1234567890
WECHAT_APP_SECRET=your_secret_here
PAYMENT_API_KEY=pk_live_xxx
```
---
## 🎯 功能特性
### 1. 自动重试
```python
client = HTTPClient(
base_url="https://api.example.com",
max_retries=3, # 最多重试 3 次
retry_delay=1.0, # 初始延迟 1 秒
retry_backoff=2.0, # 指数退避因子 (1s -> 2s -> 4s)
)
```
**可重试的错误:**
- `httpx.TimeoutException` - 请求超时
- `httpx.NetworkError` - 网络错误
- `httpx.RemoteProtocolError` - 协议错误
**不可重试的错误:**
- 4xx 客户端错误 (立即抛出异常)
- 其他非网络相关错误
### 2. 超时控制
```python
# 全局超时
client = HTTPClient(base_url="...", timeout=30.0)
# 单个请求超时
response = await client.get("/users", timeout=10.0)
```
### 3. 请求日志
自动记录所有请求和响应:
```json
{
"level": "DEBUG",
"message": "API Request: GET https://api.example.com/users/123",
"method": "GET",
"url": "https://api.example.com/users/123",
"headers": {"Authorization": "***REDACTED***"}
}
{
"level": "INFO",
"message": "API Response: GET https://api.example.com/users/123 - 200 (0.234s)",
"method": "GET",
"url": "https://api.example.com/users/123",
"status_code": 200,
"elapsed_seconds": 0.234
}
```
**敏感数据脱敏:** `Authorization`, `API-Key`, `Cookie` 等头会自动脱敏
### 4. OpenTelemetry 追踪
自动创建 Span 并记录:
- HTTP 方法和 URL
- 请求/响应状态码
- 请求耗时
- 异常信息
```python
client = HTTPClient(
base_url="...",
trace_enabled=True # 启用追踪 (默认跟随 settings.otel_enabled)
)
```
### 5. 连接池优化
```python
client = HTTPClient(
base_url="...",
max_connections=100, # 最大连接数
max_keepalive_connections=20, # 保持活动的连接数
)
```
### 6. 健康检查
```python
is_healthy = await client.health_check()
if not is_healthy:
logger.error("API service is unavailable")
```
---
## 📝 最佳实践
### ✅ 推荐做法
1. **使用上下文管理器**
```python
async with HTTPClient(base_url="...") as client:
response = await client.get("/endpoint")
# 自动关闭连接
```
2. **单例模式 (长生命周期)**
```python
# 创建全局客户端实例
_client: Optional[WeChatAPIClient] = None
async def get_client() -> WeChatAPIClient:
global _client
if _client is None:
_client = WeChatAPIClient(...)
return _client
```
3. **在应用生命周期中管理**
```python
@asynccontextmanager
async def lifespan(app: FastAPI):
yield
await close_all_clients() # 优雅关闭
```
4. **使用依赖注入**
```python
async def endpoint(
client: WeChatAPIClient = Depends(get_wechat_client)
):
return await client.get_user(...)
```
### ❌ 避免做法
1. **不要在每个请求中创建新客户端**
```python
# ❌ 错误示例
async def bad_example():
client = HTTPClient(base_url="...")
response = await client.get("/endpoint")
await client.close()
```
2. **不要忘记关闭客户端**
```python
# ❌ 资源泄漏
client = HTTPClient(base_url="...")
response = await client.get("/endpoint")
# 忘记调用 await client.close()
```
3. **不要在日志中暴露敏感信息**
```python
# ✅ BaseAPIClient 已自动脱敏敏感请求头
# 无需额外处理
```
---
## 🧪 测试示例
```python
import pytest
from unittest.mock import AsyncMock, patch
from core.clients.http_client import HTTPClient
@pytest.mark.asyncio
async def test_http_client_get():
"""测试 HTTP GET 请求"""
async with HTTPClient(base_url="https://api.example.com") as client:
with patch.object(client, '_get_client') as mock_get_client:
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json.return_value = {"id": 1, "name": "Test"}
mock_client = AsyncMock()
mock_client.request.return_value = mock_response
mock_get_client.return_value = mock_client
response = await client.get("/users/1")
assert response.status_code == 200
data = response.json()
assert data["name"] == "Test"
@pytest.mark.asyncio
async def test_custom_client():
"""测试自定义客户端"""
from core.clients.example_client import ExampleAPIClient
async with ExampleAPIClient(api_key="test_key") as client:
# Mock the request
with patch.object(client, 'get') as mock_get:
mock_response = AsyncMock()
mock_response.json.return_value = {"user_id": 123}
mock_get.return_value = mock_response
result = await client.get_user(123)
assert result["user_id"] == 123
mock_get.assert_called_once_with("/users/123")
```
---
## 📚 参考资料
- [httpx 文档](https://www.python-httpx.org/)
- [OpenTelemetry Python](https://opentelemetry.io/docs/instrumentation/python/)
- [FastAPI 依赖注入](https://fastapi.tiangolo.com/tutorial/dependencies/)
---
## 🆘 常见问题
### Q: 如何处理 API 认证?
A: 在自定义客户端的 `__init__` 中设置默认请求头:
```python
headers = {"Authorization": f"Bearer {api_key}"}
super().__init__(base_url=base_url, headers=headers)
```
### Q: 如何禁用自动重试?
A: 设置 `max_retries=0`:
```python
client = HTTPClient(base_url="...", max_retries=0)
```
### Q: 如何自定义重试逻辑?
A: 继承 `BaseAPIClient` 并重写 `_retry_with_backoff` 方法
### Q: 如何处理大文件上传/下载?
A: 使用 httpx 的流式 API:
```python
async with client._get_client() as http_client:
async with http_client.stream("GET", "/large-file") as response:
async for chunk in response.aiter_bytes():
process(chunk)
```