Skip to main content

Package provides an easy way to have camelcase request/response bodies for Pydantic

Project description

CircleCI codecov Downloads GitHub Pipenv locked Python version GitHub

Fastapi Camelcase

Package for providing a class for camelizing request and response bodies for fastapi while keeping your python code snake cased.

Full documentation can be found here

How to install

pip install fastapi-camelcase

Dependencies

pydantic
pyhumps

How to use

# using CamelModel instead of Pydantic BaseModel
from fastapi_camelcase import CamelModel


class User(CamelModel):
    first_name: str
    last_name: str
    age: int

How to use (full example)

import uvicorn
from fastapi import FastAPI
from fastapi_camelcase import CamelModel


class User(CamelModel):
    first_name: str
    last_name: str
    age: int


app = FastAPI()


@app.get("/user/get", response_model=User)
async def get_user():
    return User(first_name="John", last_name="Doe", age=30)


@app.post("/user/create", response_model=User)
async def create_user(user: User):
    return user


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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for fastapi-camelcase, version 1.0.3
Filename, size File type Python version Upload date Hashes
Filename, size fastapi_camelcase-1.0.3.tar.gz (2.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page