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全部 > AI技术 > AI编程 > AI代码生成 > 总结AI生成API客户端SDK代码的流程

总结AI生成API客户端SDK代码的流程

DeepSeek V3(Deepseek)

```markdown # Python SDK for User API ## SDK Structure Overview ``` sdk/ ├── __init__.py ├── client.py # Main API client class ├── models.py # Data models/schemas ├── exceptions.py # Custom exceptions └── utils.py # Helper functions ``` ## Main Functional Modules ### 1. API Client (client.py) ```python import requests from typing import Optional, Dict, Any from .models import User from .exceptions import ApiException class UserApiClient: def __init__(self, base_url: str, api_key: Optional[str] = None): self.base_url = base_url.rstrip('/') self.session = requests.Session() if api_key: self.session.headers.update({'Authorization': f'Bearer {api_key}'}) def get_user(self, user_id: str) -> User: """Get user by ID Args: user_id: Target user ID Returns: User object Raises: ApiException: If API request fails """ url = f"{self.base_url}/users/{user_id}" response = self.session.get(url) if response.ok: return User(**response.json()) raise ApiException(response.status_code, response.text) def create_user(self, user_data: Dict[str, Any]) -> User: """Create new user Args: user_data: Dictionary with user attributes Returns: Created User object """ url = f"{self.base_url}/users" response = self.session.post(url, json=user_data) if response.ok: return User(**response.json()) raise ApiException(response.status_code, response.text) ``` ### 2. Data Models (models.py) ```python from typing import Optional from pydantic import BaseModel class User(BaseModel): """User data model""" id: Optional[str] = None name: str email: str ``` ### 3. Exception Handling (exceptions.py) ```python class ApiException(Exception): """Base API exception""" def __init__(self, status_code: int, message: str): self.status_code = status_code self.message = message super().__init__(f"API Error {status_code}: {message}") class NotFoundException(ApiException): """404 Not Found exception""" def __init__(self, message: str = "Resource not found"): super().__init__(404, message) class ValidationException(ApiException): """400 Bad Request exception""" def __init__(self, message: str = "Invalid request data"): super().__init__(400, message) ``` ### 4. Utilities (utils.py) ```python import json from datetime import datetime from typing import Any def format_datetime(value: datetime) -> str: """Format datetime to ISO8601 string""" return value.isoformat() def to_dict(obj: Any) -> dict: """Convert model object to dictionary""" if hasattr(obj, 'dict'): return obj.dict() return dict(obj) ``` ## Usage Example ```python from sdk.client import UserApiClient # Initialize client client = UserApiClient(base_url="https://api.example.com", api_key="your_api_key") # Create user new_user = client.create_user({ "name": "John Doe", "email": "john@example.com" }) # Get user user = client.get_user(new_user.id) print(user.name) ``` ## Best Practices Implemented 1. Type hints for better IDE support 2. Pydantic models for data validation 3. Proper error handling with custom exceptions 4. Session management with requests.Session 5. Clean method documentation 6. Configuration through constructor injection ```

gpt-4o(OpenAI)

```markdown # Python SDK for Example API This Python SDK provides convenient access and interactions with the Example API which includes endpoints for managing `users`. It is generated based on the provided OpenAPI 3.0 specification. ## SDK Structure Overview The SDK follows a modular structure: - **API Client**: Facilitates communication with the API endpoints, handling HTTP requests and responses. - **Data Models**: Define the structures for the data involved in API requests and responses. - **Utilities**: Includes authentication and error handling mechanisms. ## Modules ### API Client This module is responsible for defining methods for each API endpoint described in the OpenAPI specification. #### `api_client.py` ```python import requests from .models import User from .exceptions import APIError class APIClient: BASE_URL = "https://api.example.com" def __init__(self, api_key: str): self.api_key = api_key self.headers = {"Authorization": f"Bearer {api_key}"} def get_user(self, user_id: str) -> User: """Fetch a user by their ID.""" url = f"{self.BASE_URL}/users/{user_id}" response = requests.get(url, headers=self.headers) if response.status_code == 200: return User(**response.json()) self.handle_error(response) def create_user(self, user_data: dict) -> User: """Create a new user with the given data.""" url = f"{self.BASE_URL}/users" response = requests.post(url, headers=self.headers, json=user_data) if response.status_code == 201: return User(**response.json()) self.handle_error(response) def handle_error(self, response): """Handle request errors.""" raise APIError(f"Error {response.status_code}: {response.text}") ``` ### Data Models This module provides structured data representations used by the API. #### `models.py` ```python from dataclasses import dataclass @dataclass class User: id: str name: str email: str created_at: str ``` ### Utilities Provides mechanisms for error handling and exception definitions. #### `exceptions.py` ```python class APIError(Exception): """Exception raised for errors in API requests.""" def __init__(self, message): self.message = message super().__init__(self.message) ``` ## Usage Example Here's how you can use the SDK to interact with the Example API: ```python from example_sdk.api_client import APIClient from example_sdk.models import User # Initialize the API client with your API key client = APIClient(api_key="your_api_key_here") # Get a user by ID try: user = client.get_user(user_id="123") print(f"User: {user.name}, Email: {user.email}") except APIError as e: print(f"Failed to fetch user: {e}") # Create a new user try: new_user_data = { "name": "John Doe", "email": "john.doe@example.com" } new_user = client.create_user(user_data=new_user_data) print(f"Created User ID: {new_user.id}") except APIError as e: print(f"Failed to create user: {e}") ``` This SDK efficiently wraps `GET /users/{id}` and `POST /users` endpoints, adhering to Python conventions and best practices, ensuring ease of use and maintainability. For further customization or extension, modify the respective modules in the SDK structure.

claude3.5 sonnet 20241022(Anthropic)

## SDK Structure Overview This SDK is designed to provide a Python client for interacting with a RESTful API defined by the provided OpenAPI 3.0 document. The SDK will include the following components: 1. **API Clients**: Classes responsible for making HTTP requests to the API endpoints. 2. **Models**: Data classes that represent the data structures used in API requests and responses. 3. **Common Modules**: Shared functionalities such as authentication, error handling, and configuration management. ## 主要功能模块 ### 1. API调用封装 - 封装API请求的类,提供简洁的方法来调用API接口。 ### 2. 数据模型定义 - 定义请求和响应的数据模型,确保数据的结构化和类型安全。 ### 3. 异常处理机制 - 实现错误处理机制,捕获API调用中的异常并提供友好的错误信息。 ## 完整源代码 ### 1. API Clients ```python import requests class UsersAPIClient: BASE_URL = "https://api.example.com" def __init__(self, api_key): self.api_key = api_key def get_user(self, user_id): url = f"{self.BASE_URL}/users/{user_id}" headers = {"Authorization": f"Bearer {self.api_key}"} response = requests.get(url, headers=headers) response.raise_for_status() # Raise an error for bad responses return response.json() def create_user(self, user_data): url = f"{self.BASE_URL}/users" headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"} response = requests.post(url, json=user_data, headers=headers) response.raise_for_status() return response.json() ``` ### 2. 数据模型定义 ```python from dataclasses import dataclass @dataclass class User: id: int name: str email: str @dataclass class CreateUserRequest: name: str email: str ``` ### 3. 公共处理模块 ```python class APIError(Exception): """Custom exception for API errors.""" pass def handle_api_error(response): if response.status_code != 200: raise APIError(f"API Error: {response.status_code} - {response.text}") ``` ### 4. 配置管理 ```python import os class Config: API_KEY = os.getenv("API_KEY", "your_api_key_here") ``` ## 使用示例 ```python if __name__ == "__main__": api_client = UsersAPIClient(api_key=Config.API_KEY) # 获取用户信息 try: user = api_client.get_user(user_id=1) print(user) except APIError as e: print(f"Error fetching user: {e}") # 创建新用户 new_user_data = CreateUserRequest(name="John Doe", email="john@example.com") try: new_user = api_client.create_user(new_user_data.__dict__) print(new_user) except APIError as e: print(f"Error creating user: {e}") ``` 以上代码提供了一个完整的Python客户端SDK,能够与指定的API进行交互,支持用户信息的获取和创建。

通义千问2.5-Coder-7B(阿里云百炼)

```markdown # SDK Structure Overview The generated Python SDK consists of the following main components: 1. **Models**: Data models for request and response objects. 2. **Clients**: Classes for making HTTP requests to the API endpoints. 3. **Exceptions**: Custom exceptions for handling API errors. 4. **Configuration**: Configuration class for setting up the API client. ## Models ### User ```python class User: def __init__(self, id: str, name: str, email: str): self.id = id self.name = name self.email = email ``` ## Clients ### UsersClient ```python import requests from .models import User from .exceptions import APIError class UsersClient: def __init__(self, base_url: str, api_key: str): self.base_url = base_url self.api_key = api_key def get_user(self, user_id: str) -> User: url = f"{self.base_url}/users/{user_id}" headers = { "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json" } response = requests.get(url, headers=headers) if response.status_code == 200: data = response.json() return User(data["id"], data["name"], data["email"]) else: raise APIError(f"Failed to get user: {response.status_code} - {response.text}") def create_user(self, name: str, email: str) -> User: url = f"{self.base_url}/users" headers = { "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json" } payload = { "name": name, "email": email } response = requests.post(url, headers=headers, json=payload) if response.status_code == 201: data = response.json() return User(data["id"], data["name"], data["email"]) else: raise APIError(f"Failed to create user: {response.status_code} - {response.text}") ``` ## Exceptions ### APIError ```python class APIError(Exception): pass ``` ## Configuration ### Config ```python class Config: def __init__(self, base_url: str, api_key: str): self.base_url = base_url self.api_key = api_key ``` # Usage Example ```python from sdk import UsersClient, Config config = Config(base_url="https://api.example.com", api_key="your_api_key") client = UsersClient(config.base_url, config.api_key) try: user = client.get_user("123") print(user.name, user.email) except APIError as e: print(e) try: new_user = client.create_user("John Doe", "john.doe@example.com") print(new_user.name, new_user.email) except APIError as e: print(e) ``` ``` This Python SDK provides a structured approach to interacting with the specified API endpoints. It includes models for data serialization, clients for making HTTP requests, custom exceptions for error handling, and a configuration class for managing API credentials. The example usage demonstrates how to set up the client and perform basic operations.

模型名称 模型提供商 响应总时长(s) 生成 token 数 首 token 延迟(s) 生成速率(tokens/s)
40.77
818
内容最多
3.9
20.06
7.62
响应最快
747
0.59
98.07
速度最快
17.05
0
2.05
0
17.96
699
0.55
延迟最小
38.92
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