A simple REST toolkit for Flask
Project description
This library is a tiny REST toolkit intending to simplify your life when you want to create a REST API for your flask apps.
Install it
Well, that’s really simple, it’s packaged and on PyPI, so:
$ pip install flask-rest
Use it
Handlers
Create your classes with specific methods (namely add, get, delete and update), register it with an url, and you’re good.
Here is a simple example on how to use it:
from flask import Blueprint from flask_rest import RESTResource, need_auth # Subclass a RestResource and configure it api = Blueprint("api", __name__, url_prefix="/api") # You can define a authenfier if you want to. class ProjectHandler(object): def add(self): #This maps on "post /" form = ProjectForm(csrf_enabled=False) # just for the example if form.validate(): project = form.save() db.session.add(project) db.session.commit() return 201, project.id return 400, form.errors # returns a status code and the data def get(self, project_id): # maps on GET /<id> # do your stuff here return 200, project # you can use the "need_auth" decorator to do things for you @need_auth(authentifier_callable, "project") # injects the "project" argument if authorised def delete(self, project): # do your stuff return 200, "DELETED"
Once your handlers defined, you just have to register them with the app or the blueprint:
project_resource = RESTResource( name="project", # name of the var to inject to the methods route="/projects", # will be availble at /api/projects/* app=api, # the app which should handle this actions=["add", "update", "delete", "get"], #authorised actions handler=ProjectHandler()) # the handler of the request
If everything should be protected, you can use the authentifier argument:
authentifier=check_project
Where check_project is a callable that returns either the project or False if the acces is not authorized.
Serialisation / Deserialisation
When you are returning python objects, they can be serialized, which could be useful in most of the cases. The only serialisation format supported so far is JSON.
To serialise normal python objects, they should have a _to_serialize attribute, containing all the names of the attributes to serialize. Here is an example:
class Member(): _to_serialize = ("id", "name", "email") def __init__(self, **kwargs): for name, value in kwargs.items(): setattr(self, name, value)
If you want to have a look at a real use for this, please head to https://github.com/spiral-project/ihatemoney/blob/master/budget/api.py
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