falibrary 0.1.0

No project description provided

Falibrary

Falcon add-on for API specification and validation.

Provide OpenAPI document and validation for flask service.

Mainly built for Machine Learning Model services.

If you're using Flask, check my another Python library Flaskerk.

Quick Start

install with pip install falibrary (Python 3.6+)

import falcon
from wsgiref import simple_server
from pydantic import BaseModel, Schema
from random import random

from falibrary import Falibrary

app = falcon.API()
api = Falibrary(
    app,
    title='Demo Service',
    version='0.1.2',
)

class Query(BaseModel):
    text: str

class Response(BaseModel):
    label: int
    score: float = Schema(
        ...,
        gt=0,
        lt=1,
    )

class Data(BaseModel):
    uid: str
    limit: int
    vip: bool

class Classification():
    @api.validate(query=Query, data=Data, resp=Response, x=[falcon.HTTP_403])
    def on_post(self, req, resp, source, target):
        print(f'{source} => {target}')
        print(req.context.query)
        print(req.context.data)
        if random() < 0.5:
            raise falcon.HTTPForbidden("Bad luck. You're fobidden.")
        return Response(label=int(10 * random()), score=random())

app.add_route('/api/{source}/{target}', Classification())

if __name__ == '__main__':
    httpd = simple_server.make_server('localhost', 8000, app)
    httpd.serve_forever()

Try it with http POST ':8000/api/zh/en?text=hello' uid=0b01001001 limit=5 vip=true.

Open the docs in http://127.0.0.1:8000/apidoc .

For more examples, check examples.