Opinionated set of utilities on top of FastAPI
- Free software: MIT license
- Documentation: https://fastapi-contrib.readthedocs.io.
- Auth Backend & Middleware (User or None in every request object)
- Permissions: reusable class permissions, specify multiple as FastAPI Dependency
- ModelSerializers: serialize (pydantic) incoming request, connect data with DB model and save
- UJSONResponse: correctly show slashes in fields with URLs
- Limit-Offset Pagination: use it as FastAPI Dependency (works only with ModelSerializers for now)
- MongoDB integration: Use models as if it was Django (based on pydantic models)
- MongoDB indices verification on startup of the app
- Custom Exceptions and Custom Exception Handlers
- Opentracing middleware & setup utility with Jaeger tracer + root span available in every Request's state
- StateRequestIDMiddleware: receives configurable header and saves it in request state
See GitHub Project Roadmap.
To install just Contrib (without mongodb, pytz, ujson):
$ pip install fastapi_contribTo install contrib with mongodb support:
$ pip install fastapi_contrib[mongo]To install contrib with ujson support:
$ pip install fastapi_contrib[ujson]To install contrib with pytz support:
$ pip install fastapi_contrib[pytz]To install contrib with opentracing & Jaeger tracer:
$ pip install fastapi_contrib[jaegertracing]To install everything:
$ pip install fastapi_contrib[all]To use Limit-Offset pagination:
from fastapi import FastAPI
from fastapi_contrib.pagination import Pagination
from fastapi_contrib.serializers.common import ModelSerializer
from yourapp.models import SomeModel
app = FastAPI()
class SomeSerializer(ModelSerializer):
class Meta:
model = SomeModel
@app.get("/")
async def list(pagination: Pagination = Depends()):
filter_kwargs = {}
return await pagination.paginate(
serializer_class=SomeSerializer, **filter_kwargs
)Subclass this pagination to define custom default & maximum values for offset & limit:
class CustomPagination(Pagination):
default_offset = 90
default_limit = 1
max_offset = 100
max_limit = 2000To use State Request ID Middleware:
from fastapi import FastAPI
from fastapi_contrib.common.middlewares import StateRequestIDMiddleware
app = FastAPI()
@app.on_event('startup')
async def startup():
app.add_middleware(StateRequestIDMiddleware)To use Authentication Middleware:
from fastapi import FastAPI
from fastapi_contrib.auth.backends import AuthBackend
from fastapi_contrib.auth.middlewares import AuthenticationMiddleware
app = FastAPI()
@app.on_event('startup')
async def startup():
app.add_middleware(AuthenticationMiddleware, backend=AuthBackend())Define & use custom permissions based on FastAPI Dependency framework:
from fastapi import FastAPI
from fastapi_contrib.permissions import BasePermission, PermissionsDependency
class TeapotUserAgentPermission(BasePermission):
def has_required_permissions(self, request: Request) -> bool:
return request.headers.get('User-Agent') == "Teapot v1.0"
app = FastAPI()
@app.get(
"/teapot/",
dependencies=[Depends(
PermissionsDependency([TeapotUserAgentPermission]))]
)
async def teapot() -> dict:
return {"teapot": True}Setup uniform exception-handling:
from fastapi import FastAPI
from fastapi_contrib.exception_handlers import setup_exception_handlers
app = FastAPI()
@app.on_event('startup')
async def startup():
setup_exception_handlers(app)If you want to correctly handle scenario when request is an empty body (IMPORTANT: non-multipart):
from fastapi import FastAPI
from fastapi_contrib.routes import ValidationErrorLoggingRoute
app = FastAPI()
app.router.route_class = ValidationErrorLoggingRouteOr if you use multiple routes for handling different namespaces (IMPORTANT: non-multipart):
from fastapi import APIRouter, FastAPI
from fastapi_contrib.routes import ValidationErrorLoggingRoute
app = FastAPI()
my_router = APIRouter(route_class=ValidationErrorLoggingRoute)To correctly show slashes in fields with URLs + ascii locking:
from fastapi import FastAPI
from fastapi_contrib.common.responses import UJSONResponse
app = FastAPI()
@app.get("/", response_class=UJSONResponse)
async def root():
return {"a": "b"}Or specify it as default response class for the whole app (FastAPI >= 0.39.0):
from fastapi import FastAPI
from fastapi_contrib.common.responses import UJSONResponse
app = FastAPI(default_response_class=UJSONResponse)To setup Jaeger tracer and enable Middleware that captures every request in opentracing span:
from fastapi import FastAPI
from fastapi_contrib.tracing.middlewares import OpentracingMiddleware
from fastapi_contrib.tracing.utils import setup_opentracing
app = FastAPI()
@app.on_event('startup')
async def startup():
setup_opentracing(app)
app.add_middleware(OpentracingMiddleware)To setup mongodb connection at startup and never worry about it again:
from fastapi import FastAPI
from fastapi_contrib.db.utils import setup_mongodb
app = FastAPI()
@app.on_event('startup')
async def startup():
setup_mongodb(app)Use models to map data to MongoDB:
from fastapi_contrib.db.models import MongoDBModel
class MyModel(MongoDBModel):
additional_field1: str
optional_field2: int = 42
class Meta:
collection = "mymodel_collection"
mymodel = MyModel(additional_field1="value")
mymodel.save()
assert mymodel.additional_field1 == "value"
assert mymodel.optional_field2 == 42
assert isinstance(mymodel.id, int)Or use TimeStamped model with creation datetime:
from fastapi_contrib.db.models import MongoDBTimeStampedModel
class MyTimeStampedModel(MongoDBTimeStampedModel):
class Meta:
collection = "timestamped_collection"
mymodel = MyTimeStampedModel()
mymodel.save()
assert isinstance(mymodel.id, int)
assert isinstance(mymodel.created, datetime)Use serializers and their response models to correctly show Schemas and convert from JSON/dict to models and back:
from fastapi import FastAPI
from fastapi_contrib.db.models import MongoDBModel
from fastapi_contrib.serializers import openapi
from fastapi_contrib.serializers.common import Serializer
from yourapp.models import SomeModel
app = FastAPI()
class SomeModel(MongoDBModel):
field1: str
@openapi.patch
class SomeSerializer(Serializer):
read_only1: str = "const"
write_only2: int
not_visible: str = "42"
class Meta:
model = SomeModel
exclude = {"not_visible"}
write_only_fields = {"write_only2"}
read_only_fields = {"read_only1"}
@app.get("/", response_model=SomeSerializer.response_model)
async def root(serializer: SomeSerializer):
model_instance = await serializer.save()
return model_instance.dict()POST-ing to this route following JSON:
{"read_only1": "a", "write_only2": 123, "field1": "b"}Should return following response:
{"id": 1, "field1": "b", "read_only1": "const"}Suppose we have this directory structure:
-- project_root/
-- apps/
-- app1/
-- models.py (with MongoDBModel inside with indices declared)
-- app2/
-- models.py (with MongoDBModel inside with indices declared)Based on this, your name of the folder with all the apps would be "apps". This is the default name for fastapi_contrib package to pick up your structure automatically. You can change that by setting ENV variable CONTRIB_APPS_FOLDER_NAME (by the way, all the setting of this package are overridable via ENV vars with CONTRIB_ prefix before them).
You also need to tell fastapi_contrib which apps to look into for your models. This is controlled by CONTRIB_APPS ENV variable, which is list of str names of the apps with models. In the example above, this would be CONTRIB_APPS=["app1","app2"].
Just use create_indexes function after setting up mongodb:
from fastapi import FastAPI
from fastapi_contrib.db.utils import setup_mongodb, create_indexes
app = FastAPI()
@app.on_event("startup")
async def startup():
setup_mongodb(app)
await create_indexes()This will scan all the specified CONTRIB_APPS in the CONTRIB_APPS_FOLDER_NAME for models, that are subclassed from either MongoDBModel or MongoDBTimeStampedModel and create indices for any of them that has Meta class with indexes attribute:
models.py:
import pymongo
from fastapi_contrib.db.models import MongoDBTimeStampedModel
class MyModel(MongoDBTimeStampedModel):
class Meta:
collection = "mymodel"
indexes = [
pymongo.IndexModel(...),
pymongo.IndexModel(...),
]This would not create duplicate indices because it relies on pymongo and motor to do all the job.
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