## Accessing PostgREST API using Python Requests and Requests-JWT

This code relies on setting up the PostgreSQL auth functions and grants correctly first. Follow these instructions:

http://postgrest.com/examples/users/

After completing the configuration, be sure to create a user with email, password, role, and verified flag. We'll use that user to login in the code below.

Install the required libraries

    pip install requests
    pip install requests-jwt

Then, from a python interpreter or script:

    import requests
    import requests_jwt
    import json

    # email and password auth through postgrest
    resp = requests.post('http://localhost:3000/rpc/login', json={"email": "you@yours.com", "pass": "dog"})
    if resp.status_code != 200:
        raise Exception()

    # JWT auth using the token above
    token = json.loads(resp.text)['token']
    auth = requests_jwt.JWTAuth(token)
    if r.status_code != 200:
        raise Exception()

    # Make a request to get the range header
    r = requests.get('http://localhost:3000/posts', auth=auth)

    # Extract the size of the resultset from the Content-Range
    upper_bound = int(r.headers['Content-Range'].split('/')[1])

    # Handle pagination using the Range header
    for i in range(0, upper_bound, 20):
        this_range  = '{0}-{1}'.format(i, i+20 if i+20 < upper_bound else upper_bound)
        headers = {"Range": "{}".format(this_range)}
        r = requests.get('http://localhost:3000/posts', auth=auth, headers=headers)
        if r.status_code != 200:
            raise Exception()
        page = r.json()
        # put page into pagination control or the like

The preceding HTTP client example should work on Python 3.x. If you're using python < 3.x you may need to change the print functions to statements or use:

    from __future__ import print_function