rapid-api-client 0.7.3

Rapidly develop your API clients using decorators and annotations

🙏 As a Python Backend developer, I've wasted so much time in recent years writing the same API clients over and over using Requests or HTTPX. At the same time, I could be so efficient by using FastAPI for API servers. I just wanted to save time for my upcoming projects, thinking that other developers might find it useful too.

Rapid API Client

Library to rapidly develop API clients in Python, based on Pydantic and Httpx, using almost only decorators and annotations.

✨ Main features:

• ✏️ You don't write any code, you only declare the endpoints using decorators and annotations.
• 🪄 Pydantic validation for Header, Query, Path or Body parameters.
• 📤 Support Pydantic to parse and validate responses content so your method returns a model object if the response is OK.
• 📥 Also support Pydantic serialization for Body with POST-like operations.
• 🏗️ Does not reimplement any low-level HTTP related logic (like auth, transport...), it simply uses httpx.Client like you are used to. Decorators simply build the httpx.Request for you.
• ⚡️ Support async operations, with httpx.AsyncClient.

Quick Start

Here's a complete example to get you started quickly:

First, install rapid-api-client:

# to install the latest version using pip
pip install rapid-api-client

# or add it to your `pyproject.toml` file using poetry
poetry add rapid-api-client

Then, declare your API client using decorators and annotations:

from typing import Annotated, List
from pydantic import BaseModel
from rapid_api_client import RapidApi, get, post, Path, Query, JsonBody, rapid

# Define your data models
class User(BaseModel):
    id: int
    name: str
    email: str
    
class CreateUserRequest(BaseModel):
    name: str
    email: str

# Define your API client
# Note: the @rapid decorator is optional, but it allows you to set default values for your constructor
@rapid(base_url="https://api.example.com")
class UserApi(RapidApi):
    # GET request with path parameter and query parameter
    @get("/users/{user_id}")
    def get_user(self, user_id: Annotated[int, Path()]) -> User:
        """Get a user by ID"""
        ...
    
    # GET request with query parameters
    @get("/users")
    def list_users(self, 
                  page: Annotated[int, Query()] = 1, 
                  limit: Annotated[int, Query()] = 10) -> List[User]:
        """List users with pagination"""
        ...
    
    # POST request with JSON body
    @post("/users")
    def create_user(self, user: Annotated[CreateUserRequest, JsonBody()]) -> User:
        """Create a new user"""
        ...

Finally, use your API client to interact with the API:

# Use the API client
if __name__ == "__main__":
    # Initialize the API client
    # Note: you don't need to pass the base URL here if you used the @rapid decorator
    api = UserApi()
    
    # Get a user by ID
    user = api.get_user(123)
    print(f"User: {user.name} ({user.email})")
    
    # List users with pagination
    users = api.list_users(page=1, limit=5)
    for user in users:
        print(f"- {user.name}")
    
    # Create a new user
    new_user = CreateUserRequest(name="John Doe", email="[e-mail]")
    created_user = api.create_user(new_user)
    print(f"Created user with ID: {created_user.id}")

Features

HTTP Methods

Any HTTP method can be used with the http decorator:

from rapid_api_client import RapidApi, http 


class MyApi(RapidApi):

    @http("GET", "/anything")
    def get(self): ...

    @http("POST", "/anything")
    def post(self): ...

    @http("DELETE", "/anything")
    def delete(self): ...

Convenient decorators are available like get, post, delete, put, patch:

from rapid_api_client import RapidApi, get, post, delete

class MyApi(RapidApi):

    @get("/anything")
    def get(self): ...

    @post("/anything")
    def post(self): ...

    @delete("/anything")
    def delete(self): ...

To use your API, you just need to instantiate it with a httpx.Client like:

from httpx import Client

api = MyApi(base_url="https://httpbin.org")
resp = api.get()
resp.raise_for_status()

async Support

✨ Since version 0.7.0, the same code works for synchronous and async methods.

You can write:

class GithubIssuesApi(RapidApi):

    @get("/repos/{owner}/{repo}/issues")
    def list_issues(self, owner: Annotated[str, Path()], repo: Annotated[str, Path()]) -> List[Issue]: ...

    @get("/repos/{owner}/{repo}/issues")
    async def alist_issues(self, owner: Annotated[str, Path()], repo: Annotated[str, Path()]) -> List[Issue]: ...


api = GithubIssuesApi(base_url="https://api.github.com")
issues_sync = api.list_issues("essembeh", "rapid-api-client", state="closed")
issues_async = await api.alist_issues("essembeh", "rapid-api-client", state="closed")
# both lists are the same

Rapid API Client supports both sync and async methods. It will automatically choose httpx.Client or httpx.AsyncClient to build and send the HTTP request.

By default, all parameters given to the RapidApi constructor are used to instantiate a httpx.Client or httpx.AsyncClient, depending on whether your method is async or not. You can provide a custom client or async_client (or both) to have more control over the clients creation:

from httpx import Client, AsyncClient

# In this example, the sync client has a timeout of 10s and the async client has a timeout of 20s
api = GithubIssuesApi(
    client=Client(base_url="https://api.github.com", timeout=10), 
    async_client=AsyncClient(base_url="https://api.github.com", timeout=20)
)

issues_sync = api.list_issues("essembeh", "rapid-api-client", state="closed")  # this HTTP call has a timeout of 10s
issues_async = await api.alist_issues("essembeh", "rapid-api-client", state="closed")  # this one has a timeout of 20s

Response Parsing

By default, methods return a httpx.Response object and the HTTP return code is not tested (you have to call resp.raise_for_status() if you need to ensure the response is OK).

But you can also specify a class so that the response is parsed. You can use:

• httpx.Response to get the response itself, this is the default behavior
• str to get the response.text
• bytes to get the response.content
• Any Pydantic model class (subclass of BaseModel), the JSON will be automatically validated
• Any Pydantic-xml model class (subclass of BaseXmlModel), the XML will be automatically validated
• Any other class will try to use TypeAdapter to parse it (see pydantic doc)

Note: When the returned object is not httpx.Response, the raise_for_status() is called to ensure the HTTP response is OK before parsing the content. You can disable this behavior by setting raise_for_status=False in the method decorator.

class User(BaseModel):
    name: str
    email: str

class MyApi(RapidApi):

    # This method returns a httpx.Response, you can omit it, but you should add it for clarity
    @get("/user/me")
    def get_user_raw(self) -> Response: ...

    # This method returns a User class
    @get("/user/me")
    def get_user(self) -> User: ...

Path Parameters

Like fastapi, you can use your method arguments to build the API path to call:

class MyApi(RapidApi):

    # Path parameter
    @get("/user/{user_id}")
    def get_user(self, user_id: Annotated[int, Path()]): ...

    # Path parameters with value validation
    @get("/user/{user_id}")
    def get_user(self, user_id: Annotated[PositiveInt, Path()]): ...

    # Path parameters with a default value
    @get("/user/{user_id}")
    def get_user(self, user_id: Annotated[int, Path(default=1)]): ...

    # Path parameters with a default value using a factory
    @get("/user/{user_id}")
    def get_user(self, user_id: Annotated[int, Path(default_factory=lambda: 42)]): ...

Query Parameters

You can add query parameters to your request using the Query annotation:

class MyApi(RapidApi):

    # Query parameter
    @get("/issues")
    def get_issues(self, sort: Annotated[str, Query()]): ...

    # Query parameters with value validation
    @get("/issues")
    def get_issues(self, sort: Annotated[Literal["updated", "id"], Query()]): ...

    # Query parameter with a default value
    @get("/issues")
    def get_issues(self, sort: Annotated[str, Query(default="updated")]): ...

    # Query parameter with a default value using a factory
    @get("/issues")
    def get_issues(self, sort: Annotated[str, Query(default_factory=lambda: "updated")]): ...

    # Query parameter with an alias
    @get("/issues")
    def get_issues(self, my_parameter: Annotated[str, Query(alias="sort")]): ...

Header Parameters

You can add headers to your request using the Header annotation:

class MyApi(RapidApi):

    # Header parameter
    @get("/issues")
    def get_issues(self, x_version: Annotated[str, Header()]): ...

    # Header parameters with value validation
    @get("/issues")
    def get_issues(self, x_version: Annotated[Literal["2024.06", "2024.01"], Header()]): ...

    # Header parameter with a default value
    @get("/issues")
    def get_issues(self, x_version: Annotated[str, Header(default="2024.06")]): ...

    # Header parameter with a default value using a factory
    @get("/issues")
    def get_issues(self, x_version: Annotated[str, Header(default_factory=lambda: "2024.06")]): ...

    # Header parameter with an alias
    @get("/issues")
    def get_issues(self, my_parameter: Annotated[str, Header(alias="x-version")]): ...

    # You can also add constant headers
    @get("/issues", headers={"x-version": "2024.06", "accept": "application/json"})
    def get_issues(self): ...

Body Parameters

You can send a body with your request using the Body annotation.

This body can be:

• A raw object with Body
• A dict object with JsonBody
• A Pydantic object with PydanticBody
• One or more files with FileBody

class MyApi(RapidApi):

    # Send a string in request content
    @post("/string")
    def post_string(self, body: Annotated[str, Body()]): ...

    # Send a dict in request content as JSON
    @post("/string")
    def post_json(self, body: Annotated[dict, JsonBody()]): ...

    # Send a Pydantic model serialized as JSON
    @post("/model")
    def post_model(self, body: Annotated[MyPydanticClass, PydanticBody()]): ...

    # Send multiple files
    @post("/files")
    def post_files(self, report: Annotated[bytes, FileBody()], image: Annotated[bytes, FileBody()]): ...

    # Send a form
    @post("/form")
    def post_form(self, my_param: Annotated[str, FormBody(alias="name")], extra_fields: Annotated[Dict[str, str], FormBody()]): ...

XML Support

XML is also supported if you use Pydantic-Xml, either for responses (if you type your function to return a BaseXmlModel subclass) or for POST/PUT content with PydanticXmlBody.

class ResponseXmlRootModel(BaseXmlModel): ...

class MyApi(RapidApi):

    # Parse response XML content
    @get("/get")
    def get_xml(self) -> ResponseXmlRootModel: ...

    # Serialize XML model automatically
    @post("/post")
    def post_xml(self, body: Annotated[ResponseXmlRootModel, PydanticXmlBody()]): ...

Examples

Authentication and Error Handling

Here's a simple example showing how to handle authentication and errors:

from typing import Annotated, Optional
from pydantic import BaseModel
from httpx import HTTPStatusError
from rapid_api_client import RapidApi, get, post, Header

# Define your data models
class AuthResponse(BaseModel):
    access_token: str
    token_type: str
    expires_in: int

class UserProfile(BaseModel):
    id: int
    username: str
    email: str

# Define your API client
class AuthenticatedApi(RapidApi):
    # Login endpoint
    @post("/auth/login")
    def login(self, username: str, password: str) -> AuthResponse:
        """Get an authentication token"""
        ...
    
    # Protected endpoint that requires authentication
    @get("/users/me")
    def get_profile(self, authorization: Annotated[str, Header()]) -> UserProfile:
        """Get the current user's profile"""
        ...

# Example usage with error handling
def main():
    # Create API client
    api = AuthenticatedApi(base_url="https://api.example.com")
    
    try:
        # Login to get token
        auth_response = api.login(username="[e-mail]", password="password123")
        
        # Use token for authenticated requests
        auth_header = f"{auth_response.token_type} {auth_response.access_token}"
        profile = api.get_profile(authorization=auth_header)
        
        print(f"Logged in as: {profile.username} ({profile.email})")
        
    except HTTPStatusError as e:
        # Handle HTTP errors (4xx, 5xx)
        if e.response.status_code == 401:
            print("Authentication failed: Invalid credentials")
        elif e.response.status_code == 403:
            print("Authorization failed: Insufficient permissions")
        elif e.response.status_code >= 500:
            print(f"Server error: {e}")
        else:
            print(f"Request failed: {e}")
    except Exception as e:
        print(f"Unexpected error: {e}")

if __name__ == "__main__":
    main()

See the examples directory for more examples.