Example of caching API results w/ Flask-Restless and Flask-Cache

app.py

import json
import hashlib
from flask import Flask, request
import flask.ext.sqlalchemy
import flask.ext.cache
import flask.ext.restless
from flask.ext.restless import ProcessingException

app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
app.config['CACHE_TYPE'] = 'redis'
app.config['CACHE_KEY_PREFIX'] = 'my_key'

db = flask.ext.sqlalchemy.SQLAlchemy(app)
cache = flask.ext.cache.Cache(app)


class Person(db.Model):
    id = db.Column(db.Integer, primary_key=True)

db.create_all()


def get_cache_key():
    return hashlib.md5(request.path + request.query_string).hexdigest()


def cache_preprocessor(**kwargs):
    key = get_cache_key()
    if cache.get(key):
        print('returning cached result')
        raise ProcessingException(description=cache.get(key), code=200)


def cache_postprocessor(result, **kwargs):
    cache.set(get_cache_key(), json.dumps(result))
    print('result cached.')


manager = flask.ext.restless.APIManager(app, flask_sqlalchemy_db=db)
manager.create_api(Person,
                   methods=['GET'],
                   preprocessors={'GET_MANY': [cache_preprocessor]},
                   postprocessors={'GET_MANY': [cache_postprocessor]})

app.run()

test.py

import requests
# first time is uncached:
print requests.get('http://localhost:5000/api/person').json()
# second time is cached:
print requests.get('http://localhost:5000/api/person').json()