Metadata-Version: 2.4
Name: crimsy
Version: 0.1.13
Summary: A lightweight web framework for building APIs in Python
License-File: LICENSE
Requires-Python: >=3.11
Requires-Dist: msgspec>=0.19.0
Requires-Dist: python-multipart>=0.0.20
Requires-Dist: starlette>=0.50.0
Description-Content-Type: text/markdown

# Crimsy

A lightweight web framework for building APIs in Python, built on top of Starlette with `msgspec` for fast JSON encoding/decoding.

## Features

- 🚀 **Fast**: Uses `msgspec` for ultra-fast JSON encoding/decoding
- 🪶 **Lightweight**: Minimal dependencies (only `starlette` and `msgspec`)
- 🔒 **Fully Typed**: Complete type hints for better IDE support
- 📚 **Auto Documentation**: Automatic OpenAPI schema generation and Swagger UI
- 🎯 **Familiar API**: Similar interface to FastAPI for easy adoption
- ⚡ **All HTTP Methods**: Support for GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS
- 💉 **Dependency Injection**: Built-in support for dependency injection
- 🛡️ **Exception Handling**: Built-in HTTP exception handling

## Table of Contents

- [Installation](#installation)
- [Quick Start](#quick-start)
- [Core Concepts](#core-concepts)
  - [Application](#application)
  - [Routers](#routers)
  - [Request Parameters](#request-parameters)
  - [Response Handling](#response-handling)
- [msgspec Integration](#msgspec-integration)
- [Dependency Injection](#dependency-injection)
- [Exception Handling](#exception-handling)
- [OpenAPI Documentation](#openapi-documentation)
- [Complete Examples](#complete-examples)
- [Development](#development)

## Installation

```bash
pip install crimsy  # (when published)
# or for development:
uv sync
```

## Quick Start

```python
import msgspec
from crimsy import Crimsy, Router


class User(msgspec.Struct):
    name: str
    age: int = 0


app = Crimsy()
router = Router(prefix="/users")


@router.get("/")
async def list_users() -> list[User]:
    return [User(name="Alice", age=30), User(name="Bob", age=25)]


@router.post("/")
async def create_user(user: User) -> User:
    # Your code here
    return user


app.add_router(router)
```

Run with:
```bash
uvicorn app:app --reload
```

Visit `http://localhost:8000/docs` for automatic API documentation.

## Core Concepts

### Application

The `Crimsy` class is the main application class, wrapping Starlette:

```python
from crimsy import Crimsy

app = Crimsy(
    title="My API",           # API title for OpenAPI
    version="1.0.0",          # API version
    openapi_url="/openapi.json",  # OpenAPI schema URL (or None to disable)
    docs_url="/docs",         # Swagger UI URL (or None to disable)
    debug=False,              # Debug mode
    middleware=None,          # List of Starlette middleware
)
```

### Routers

Routers group related endpoints under a common prefix:

```python
from crimsy import Router

router = Router(prefix="/api/v1")

@router.get("/items")
async def list_items() -> list[dict]:
    return [{"id": 1, "name": "Item 1"}]

@router.post("/items")
async def create_item(item: dict) -> dict:
    return item

app.add_router(router)
```

#### Supported HTTP Methods

All standard HTTP methods are supported:

```python
@router.get("/resource")      # GET
@router.post("/resource")     # POST
@router.put("/resource")      # PUT
@router.delete("/resource")   # DELETE
@router.patch("/resource")    # PATCH
@router.head("/resource")     # HEAD
@router.options("/resource")  # OPTIONS
async def handler() -> dict:
    return {}
```

### Request Parameters

Crimsy provides three ways to extract parameters from requests:

#### 1. Query Parameters

Extract parameters from the URL query string:

```python
from crimsy import Query

@router.get("/search")
async def search(
    q: str,                    # Required query parameter
    limit: int = 10,           # Optional with default
    offset: int = Query(default=0)  # Explicit Query marker with default
) -> dict:
    return {"query": q, "limit": limit, "offset": offset}

# Usage: GET /search?q=python&limit=20&offset=5
```

#### 2. Path Parameters

Extract parameters from the URL path:

```python
from crimsy import Path

@router.get("/users/{user_id}")
async def get_user(
    user_id: int = Path()      # Path parameter
) -> dict:
    return {"user_id": user_id}

# Usage: GET /users/123
```

Path parameters can also be declared without the `Path()` marker - Crimsy automatically detects them:

```python
@router.get("/items/{item_id}")
async def get_item(item_id: int) -> dict:
    return {"item_id": item_id}
```

#### 3. Body Parameters

Extract data from the request body:

```python
from crimsy import Body
import msgspec

class CreateUserRequest(msgspec.Struct):
    name: str
    email: str
    age: int = 0

@router.post("/users")
async def create_user(
    user: CreateUserRequest = Body()  # Body parameter
) -> CreateUserRequest:
    # user is automatically validated and deserialized
    return user

# Usage: POST /users with JSON body: {"name": "Alice", "email": "alice@example.com", "age": 30}
```

For POST/PUT/PATCH requests with `msgspec.Struct`, the `Body()` marker is optional:

```python
@router.post("/users")
async def create_user(user: CreateUserRequest) -> CreateUserRequest:
    # Automatically treated as body parameter
    return user
```

#### Mixing Parameter Types

You can mix different parameter types in the same handler:

```python
@router.put("/users/{user_id}")
async def update_user(
    user_id: int = Path(),           # From URL path
    version: str = Query(default="v1"),  # From query string
    user: CreateUserRequest = Body() # From request body
) -> dict:
    return {"user_id": user_id, "version": version, "user": user}

# Usage: PUT /users/123?version=v2 with JSON body
```

### Response Handling

Crimsy automatically encodes responses using `msgspec`:

```python
@router.get("/user")
async def get_user() -> User:
    return User(name="Alice", age=30)
# Returns: {"name": "Alice", "age": 30}

@router.get("/users")
async def get_users() -> list[User]:
    return [User(name="Alice", age=30), User(name="Bob", age=25)]
# Returns: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]

@router.get("/data")
async def get_data() -> dict:
    return {"key": "value"}
# Returns: {"key": "value"}

@router.delete("/users/{user_id}")
async def delete_user(user_id: int) -> None:
    # None returns 204 No Content
    pass
```

You can also return Starlette `Response` objects directly:

```python
from starlette.responses import Response

@router.get("/custom")
async def custom_response() -> Response:
    return Response(content="Custom response", media_type="text/plain")
```

## msgspec Integration

Crimsy is tightly integrated with [msgspec](https://jcristharif.com/msgspec/) for fast JSON encoding/decoding.

### Defining Data Models

Use `msgspec.Struct` to define your data models:

```python
import msgspec

class User(msgspec.Struct):
    name: str
    email: str
    age: int = 0           # Optional field with default
    is_active: bool = True

class Post(msgspec.Struct):
    title: str
    content: str
    author: User           # Nested structures
    tags: list[str] = []   # Lists with defaults
```

### Automatic Validation

`msgspec` automatically validates incoming data:

```python
@router.post("/users")
async def create_user(user: User) -> User:
    # If request body doesn't match User structure,
    # automatic 400 Bad Request response is returned
    return user

# Valid:   {"name": "Alice", "email": "alice@example.com"}
# Invalid: {"name": "Alice"}  -> 400: missing required field 'email'
# Invalid: {"name": "Alice", "email": "alice@example.com", "age": "thirty"}  -> 400: invalid type
```

### msgspec.Struct in GET Requests

For GET requests, `msgspec.Struct` parameters are treated as JSON-encoded query parameters:

```python
@router.get("/greet")
async def greet(user: User, greeting: str = "Hello") -> dict:
    return {"message": f"{greeting}, {user.name}!"}

# Usage: GET /greet?user={"name":"Alice","email":"alice@example.com","age":30}&greeting=Hi
# URL-encoded: GET /greet?user=%7B%22name%22%3A%22Alice%22%2C%22email%22%3A%22alice%40example.com%22%2C%22age%22%3A30%7D&greeting=Hi
```

**Note**: This is a non-standard but intentional feature allowing complex types in GET requests. For production APIs with complex data structures, consider using POST requests instead, which are more conventional and avoid issues with URL length limits and caching.

## Dependency Injection

Crimsy includes a built-in dependency injection system similar to FastAPI's.

### Basic Dependencies

Use `Depends()` to inject dependencies:

```python
from crimsy import Depends

async def get_database() -> Database:
    """Dependency that returns a database connection."""
    return Database()

@router.get("/users")
async def list_users(db: Database = Depends(get_database)) -> list[User]:
    # db is automatically injected
    return db.get_all_users()
```

### Dependencies with Parameters

Dependencies can have their own parameters:

```python
async def get_current_user(token: str = Query()) -> User:
    """Dependency that extracts current user from token."""
    if not token:
        raise HTTPException(status_code=401, message="Missing token")
    # Validate token and return user
    return validate_token(token)

@router.get("/me")
async def get_me(current_user: User = Depends(get_current_user)) -> User:
    return current_user

# Usage: GET /me?token=abc123
```

### Nested Dependencies

Dependencies can depend on other dependencies:

```python
async def get_db() -> Database:
    return Database()

async def get_user_repository(db: Database = Depends(get_db)) -> UserRepository:
    return UserRepository(db)

@router.get("/users/{user_id}")
async def get_user(
    user_id: int,
    repo: UserRepository = Depends(get_user_repository)
) -> User:
    return repo.get_by_id(user_id)
```

### Dependency Caching

By default, dependencies are cached within a single request:

```python
async def get_db() -> Database:
    print("Creating database connection")
    return Database()

@router.get("/data")
async def get_data(
    db1: Database = Depends(get_db),
    db2: Database = Depends(get_db)
) -> dict:
    # "Creating database connection" is printed only once
    # db1 and db2 are the same instance
    return {"same": db1 is db2}  # Returns: {"same": true}
```

To disable caching:

```python
@router.get("/data")
async def get_data(
    db: Database = Depends(get_db, use_cache=False)
) -> dict:
    # Fresh instance each time
    return {}
```

## Exception Handling

### HTTPException

Use `HTTPException` to return HTTP error responses:

```python
from crimsy import HTTPException

@router.get("/users/{user_id}")
async def get_user(user_id: int) -> User:
    user = database.get(user_id)
    if user is None:
        raise HTTPException(status_code=404, message="User not found")
    return user

# Returns: 404 with body: {"error": "User not found"}
```

`HTTPException` can be raised anywhere - in endpoints, dependencies, or nested function calls.

### Exception in Dependencies

```python
async def verify_admin(token: str = Query()) -> User:
    user = verify_token(token)
    if not user.is_admin:
        raise HTTPException(status_code=403, message="Admin access required")
    return user

@router.delete("/users/{user_id}")
async def delete_user(
    user_id: int,
    admin: User = Depends(verify_admin)
) -> None:
    database.delete(user_id)
```

### Custom Exception Handlers

Register custom exception handlers:

```python
class DatabaseException(Exception):
    pass

app = Crimsy()

@app.exception_handler(DatabaseException)
async def database_exception_handler(request, exc):
    raise HTTPException(status_code=503, message="Database unavailable")

@router.get("/data")
async def get_data() -> dict:
    raise DatabaseException()  # Returns 503
```

### Automatic Error Responses

Crimsy automatically handles common errors:

- **400 Bad Request**: Missing required parameters, invalid types, or validation errors
- **500 Internal Server Error**: Unhandled exceptions

```python
@router.get("/search")
async def search(q: str) -> dict:  # q is required
    return {"query": q}

# GET /search -> 400: {"error": "Missing required query parameter: q"}
# GET /search?q=test -> 200: {"query": "test"}
```

## OpenAPI Documentation

Crimsy automatically generates OpenAPI 3.0 documentation for your API.

### Accessing Documentation

- **OpenAPI JSON**: `http://localhost:8000/openapi.json`
- **Swagger UI**: `http://localhost:8000/docs`

### Customizing Documentation

```python
app = Crimsy(
    title="My Awesome API",
    version="2.1.0",
    openapi_url="/api/schema.json",  # Custom OpenAPI URL
    docs_url="/api/docs",            # Custom Swagger UI URL
)

# Or disable documentation:
app = Crimsy(
    title="My API",
    openapi_url=None,  # Disables OpenAPI schema endpoint
    docs_url=None,     # Disables Swagger UI
)
```

### Type Annotations in Documentation

Crimsy uses Python type annotations to generate accurate API documentation:

```python
@router.get("/users/{user_id}")
async def get_user(
    user_id: int = Path(),
    include_posts: bool = Query(default=False)
) -> User:
    """Get a user by ID.
    
    Optional: include their posts in the response.
    """
    return user

# OpenAPI schema will include:
# - Path parameter: user_id (integer, required)
# - Query parameter: include_posts (boolean, optional, default: false)
# - Response schema: User object structure
# - Endpoint description from docstring
```

## Complete Examples

### Example 1: Simple CRUD API

```python
import msgspec
from crimsy import Crimsy, Router, HTTPException, Path, Query, Body

class User(msgspec.Struct):
    id: int
    name: str
    email: str
    age: int = 0

# In-memory database
users_db: dict[int, User] = {
    1: User(id=1, name="Alice", email="alice@example.com", age=30),
    2: User(id=2, name="Bob", email="bob@example.com", age=25),
}
next_id = 3

app = Crimsy(title="User Management API", version="1.0.0")
router = Router(prefix="/users")

@router.get("/")
async def list_users(limit: int = Query(default=10)) -> list[User]:
    """List all users."""
    return list(users_db.values())[:limit]

@router.get("/{user_id}")
async def get_user(user_id: int = Path()) -> User:
    """Get a specific user by ID."""
    if user_id not in users_db:
        raise HTTPException(status_code=404, message="User not found")
    return users_db[user_id]

@router.post("/")
async def create_user(user: User) -> User:
    """Create a new user."""
    global next_id
    user_with_id = User(id=next_id, name=user.name, email=user.email, age=user.age)
    users_db[next_id] = user_with_id
    next_id += 1
    return user_with_id

@router.put("/{user_id}")
async def update_user(user_id: int = Path(), user: User = Body()) -> User:
    """Update an existing user."""
    if user_id not in users_db:
        raise HTTPException(status_code=404, message="User not found")
    users_db[user_id] = user
    return user

@router.delete("/{user_id}")
async def delete_user(user_id: int = Path()) -> None:
    """Delete a user."""
    if user_id not in users_db:
        raise HTTPException(status_code=404, message="User not found")
    del users_db[user_id]

app.add_router(router)

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

### Example 2: API with Dependency Injection

```python
import msgspec
from crimsy import Crimsy, Router, Depends, HTTPException, Query

class Database:
    """Mock database."""
    def __init__(self):
        self.users = {"alice": "Alice Smith", "bob": "Bob Jones"}
    
    def get_user(self, username: str) -> str | None:
        return self.users.get(username)

class User(msgspec.Struct):
    username: str
    full_name: str

# Dependencies
async def get_db() -> Database:
    """Provide database connection."""
    return Database()

async def get_current_user(
    token: str = Query(),
    db: Database = Depends(get_db)
) -> User:
    """Extract current user from token."""
    if token not in db.users:
        raise HTTPException(status_code=401, message="Invalid token")
    return User(username=token, full_name=db.users[token])

# Application
app = Crimsy(title="Auth API", version="1.0.0")
router = Router(prefix="/api")

@router.get("/me")
async def get_me(current_user: User = Depends(get_current_user)) -> User:
    """Get current authenticated user."""
    return current_user

@router.get("/protected")
async def protected_resource(
    current_user: User = Depends(get_current_user),
    db: Database = Depends(get_db)
) -> dict:
    """Access a protected resource."""
    return {
        "message": f"Hello, {current_user.full_name}!",
        "data": "Secret information"
    }

app.add_router(router)

# Usage:
# GET /api/me?token=alice -> {"username": "alice", "full_name": "Alice Smith"}
# GET /api/me?token=invalid -> 401: {"error": "Invalid token"}
```

### Example 3: Complex Nested Structures

```python
import msgspec
from crimsy import Crimsy, Router

class Address(msgspec.Struct):
    street: str
    city: str
    country: str
    postal_code: str = ""

class Company(msgspec.Struct):
    name: str
    address: Address

class Employee(msgspec.Struct):
    id: int
    name: str
    email: str
    company: Company
    skills: list[str] = []

app = Crimsy(title="Employee API", version="1.0.0")
router = Router(prefix="/employees")

@router.post("/")
async def create_employee(employee: Employee) -> Employee:
    """Create a new employee with nested company and address."""
    # employee is fully validated including nested structures
    return employee

@router.get("/{employee_id}")
async def get_employee(employee_id: int) -> Employee:
    """Get employee with all nested data."""
    return Employee(
        id=employee_id,
        name="Alice Smith",
        email="alice@example.com",
        company=Company(
            name="Tech Corp",
            address=Address(
                street="123 Main St",
                city="San Francisco",
                country="USA",
                postal_code="94105"
            )
        ),
        skills=["Python", "JavaScript", "SQL"]
    )

app.add_router(router)

# POST /employees/ with:
# {
#   "id": 1,
#   "name": "Alice Smith",
#   "email": "alice@example.com",
#   "company": {
#     "name": "Tech Corp",
#     "address": {
#       "street": "123 Main St",
#       "city": "San Francisco",
#       "country": "USA",
#       "postal_code": "94105"
#     }
#   },
#   "skills": ["Python", "JavaScript", "SQL"]
# }
```

## Development

### Setting Up Development Environment

```bash
# Clone the repository
git clone https://github.com/xelandernt/crimsy.git
cd crimsy

# Install dependencies with uv
uv sync

# Or install with pip
pip install -e ".[dev]"
```

### Running Tests

```bash
# Run all tests
just test

# Run with coverage
uv run pytest --cov=src/crimsy --cov-report=term-missing

# Run specific test file
uv run pytest tests/unit/test_router.py
```

### Linting and Type Checking

```bash
# Run all linters
just lint

# Or run individually
uv run ruff format  # Format code
uv run ruff check --fix  # Check and fix issues
uv run mypy .  # Type checking
```

### Project Structure

```
crimsy/
├── src/crimsy/
│   ├── __init__.py       # Public API exports
│   ├── app.py           # Main Crimsy application class
│   ├── router.py        # Router for grouping endpoints
│   ├── params.py        # Parameter extraction (Query, Body, Path)
│   ├── dependencies.py  # Dependency injection system
│   ├── exceptions.py    # HTTPException and error handling
│   └── openapi.py       # OpenAPI schema generation
├── tests/              # Test suite
├── examples/           # Example applications
└── README.md          # This file
```

## License

See LICENSE file.

## Additional Resources

For more examples, see [README_EXAMPLES.md](README_EXAMPLES.md).

## Contributing

Contributions are welcome! Please ensure:
- All tests pass: `just test`
- Code is properly formatted: `just lint`
- Type hints are correct: `mypy .`

## Why Crimsy?

- **Performance**: `msgspec` is one of the fastest JSON libraries for Python
- **Simplicity**: Minimal API surface, easy to learn
- **Type Safety**: Full type hints help catch errors before runtime
- **Familiarity**: Similar to FastAPI but lighter weight
- **Modern**: Built on modern Python features (3.11+)

---

**Crimsy** - Fast, lightweight, and fully typed web framework for building APIs in Python.
