
<p align="center">
<em>Classes and Decorators to use FastAPI with Class based routing</em>
</p>
<p align="center">
<a href="https://github.com/yezz123/fastapi-class/actions/workflows/test.yml" target="_blank">
<img src="https://github.com/yezz123/fastapi-class/actions/workflows/test.yml/badge.svg" alt="Test">
</a>
<a href="https://codecov.io/gh/yezz123/fastapi-class">
<img src="https://codecov.io/gh/yezz123/fastapi-class/branch/main/graph/badge.svg"/>
</a>
<a href="https://pypi.org/project/fastapi-class" target="_blank">
<img src="https://img.shields.io/pypi/v/fastapi-class?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/fastapi-class" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/fastapi-class.svg?color=%2334D058" alt="Supported Python versions">
</a>
</p>
---
**Source Code**: <https://github.com/yezz123/fastapi-class>
**Install the project**: `pip install fastapi-class`
---
As you create more complex FastAPI applications, you may find yourself frequently repeating the same dependencies in multiple related endpoints.
A common question people have as they become more comfortable with FastAPI is how they can reduce the number of times they have to copy/paste the same dependency into related routes.
`fastapi_class` provides a `class-based view` decorator `@View` to help reduce the amount of boilerplate necessary when developing related routes.
> Highly inspired by [Fastapi-utils](https://fastapi-utils.davidmontague.xyz/user-guide/class-based-views/), Thanks to [@dmontagu](https://github.com/dmontagu) for the great work.
- Example:
```python
from fastapi import FastAPI, APIRouter, Query
from pydantic import BaseModel
from fastapi_class import View
app = FastAPI()
router = APIRouter()
class ItemModel(BaseModel):
id: int
name: str
description: str = None
@View(router)
class ItemView:
def post(self, item: ItemModel):
return item
def get(self, item_id: int = Query(..., gt=0)):
return {"item_id": item_id}
app.include_router(router)
```
### Response model 📦
`Exception` in list need to be either function that return `fastapi.HTTPException` itself. In case of a function it is required to have all of it's arguments to be `optional`.
```py
from fastapi import FastAPI, APIRouter, HTTPException, status
from fastapi.responses import PlainTextResponse
from pydantic import BaseModel
from fastapi_class import View
app = FastAPI()
router = APIRouter()
NOT_AUTHORIZED = HTTPException(401, "Not authorized.")
NOT_ALLOWED = HTTPException(405, "Method not allowed.")
NOT_FOUND = lambda item_id="item_id": HTTPException(404, f"Item with {item_id} not found.")
class ItemResponse(BaseModel):
field: str | None = None
@view(router)
class MyView:
exceptions = {
"__all__": [NOT_AUTHORIZED],
"put": [NOT_ALLOWED, NOT_FOUND]
}
RESPONSE_MODEL = {
"put": ItemResponse
}
RESPONSE_CLASS = {
"delete": PlainTextResponse
}
def get(self):
...
def put(self):
...
def delete(self):
...
app.include_router(router)
```
### Customized Endpoints
```py
from fastapi import FastAPI, APIRouter, HTTPException
from fastapi.responses import PlainTextResponse
from pydantic import BaseModel
from fastapi_class import View, endpoint
app = FastAPI()
router = APIRouter()
NOT_AUTHORIZED = HTTPException(401, "Not authorized.")
NOT_ALLOWED = HTTPException(405, "Method not allowed.")
NOT_FOUND = lambda item_id="item_id": HTTPException(404, f"Item with {item_id} not found.")
EXCEPTION = HTTPException(400, "Example.")
class UserResponse(BaseModel):
field: str | None = None
@View(router)
class MyView:
exceptions = {
"__all__": [NOT_AUTHORIZED],
"put": [NOT_ALLOWED, NOT_FOUND],
"edit": [EXCEPTION]
}
RESPONSE_MODEL = {
"put": UserResponse,
"edit": UserResponse
}
RESPONSE_CLASS = {
"delete": PlainTextResponse
}
def get(self):
...
def put(self):
...
def delete(self):
...
@endpoint(("PUT",), path="edit")
def edit(self):
...
```
**Note:** The `edit()` endpoint is decorated with the `@endpoint(("PUT",), path="edit")` decorator, which specifies that this endpoint should handle `PUT` requests to the `/edit` path.
## Development 🚧
### Setup environment 📦
You should create a virtual environment and activate it:
```bash
python -m venv venv/
```
```bash
source venv/bin/activate
```
And then install the development dependencies:
```bash
# Install dependencies
pip install -e .[test,lint]
```
### Run tests 🌝
You can run all the tests with:
```bash
bash scripts/test.sh
```
### Format the code 🍂
Execute the following command to apply `pre-commit` formatting:
```bash
bash scripts/format.sh
```
Execute the following command to apply `mypy` type checking:
```bash
bash scripts/lint.sh
```
## License
This project is licensed under the terms of the MIT license.