postgrest/docs/examples/python-requests-jwt.md

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