This library implements an Authentication handler for HTTP requests using the Akamai EdgeGrid Authentication scheme for Python.

To use the library, you need to have Python 3.9 or later installed on your system. You can download it from https://www.python.org/downloads/.

NOTE: Python 2 is no longer supported by the Python Software Foundation. You won't be able to use the library with Python 2.

Then, install the edgegrid-python authentication handler from sources by running this command from the project root directory:

pip install .

Alternatively, you can install it from PyPI (Python Package Index) by running:

pip install edgegrid-python

We provide authentication credentials through an API client. Requests to the API are signed with a timestamp and are executed immediately.

1. Create authentication credentials.

2. Place your credentials in an EdgeGrid resource file, .edgerc, under a heading of [default] at your local home directory or the home directory of a web-server user.

    [default]
    client_secret = C113nt53KR3TN6N90yVuAgICxIRwsObLi0E67/N8eRN=
    host = akab-h05tnam3wl42son7nktnlnnx-kbob3i3v.luna.akamaiapis.net
    access_token = akab-acc35t0k3nodujqunph3w7hzp7-gtm6ij
    client_token = akab-c113ntt0k3n4qtari252bfxxbsl-yvsdj
   

3. Use your local .edgerc by providing the path to your resource file and credentials' section header.

    import requests
    from akamai.edgegrid import EdgeGridAuth, EdgeRc
   
    edgerc = EdgeRc('~/.edgerc')
    section = 'default'
    baseurl = 'https://%s' % edgerc.get(section, 'host')
   
    session = requests.Session()
    session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

   Or hard code them as variables.

    import requests
    from akamai.edgegrid import EdgeGridAuth
   
    session = requests.Session()
    session.auth = EdgeGridAuth(
        client_token='akab-c113ntt0k3n4qtari252bfxxbsl-yvsdj',
        client_secret='C113nt53KR3TN6N90yVuAgICxIRwsObLi0E67/N8eRN=',
        access_token='akab-acc35t0k3nodujqunph3w7hzp7-gtm6ij'
    )

To use the library, provide the path to your .edgerc, your credentials section header, and the appropriate endpoint information.

import requests
import json
from akamai.edgegrid import EdgeGridAuth, EdgeRc
from urllib.parse import urljoin

edgerc = EdgeRc('~/.edgerc')
section = 'default'
baseurl = 'https://%s' % edgerc.get(section, 'host')

session = requests.Session()
session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

path = '/identity-management/v3/user-profile'
headers = {
  "Accept": "application/json"
} 
querystring = {
  "actions": True,
  "authGrants": True,
  "notifications": True
}  

result = session.get(urljoin(baseurl, path), headers=headers, params=querystring)
print(result.status_code)
print(json.dumps(result.json(), indent=2))

When entering query parameters use the querystring property. Set up the parameters as name-value pairs in an object.

edgerc = EdgeRc('~/.edgerc')
section = 'default'
baseurl = 'https://%s' % edgerc.get(section, 'host')

session = requests.Session()
session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

path = '/identity-management/v3/user-profile'
querystring = {
  "actions": True,
  "authGrants": True,
  "notifications": True
}  

result = session.get(urljoin(baseurl, path), params=querystring)

Enter request headers in the headers property as name-value pairs in an object.

NOTE: You don't need to include the Content-Type and Content-Length headers. The authentication layer adds these values.

edgerc = EdgeRc('~/.edgerc')
section = 'default'
baseurl = 'https://%s' % edgerc.get(section, 'host')

session = requests.Session()
session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

path = '/identity-management/v3/user-profile'
headers = {
  "Accept": "application/json"
} 

result = session.get(urljoin(baseurl, path), headers=headers)

Provide the request body as an object in the payload property.

edgerc = EdgeRc('~/.edgerc')
section = 'default'
baseurl = 'https://%s' % edgerc.get(section, 'host')

session = requests.Session()
session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

path = '/identity-management/v3/user-profile/basic-info'
payload = {
    "contactType": "Billing",
    "country": "USA",
    "firstName": "John",
    "lastName": "Smith",
    "preferredLanguage": "English",
    "sessionTimeOut": 30,
    "timeZone": "GMT",
    "phone": "3456788765"
}

result = session.put(urljoin(baseurl, path), json=payload)

As the data parameter for the session methods, EdgeGrid for Python currently supports the bytes and requests_toolbelt.MultipartEncoder types or a file-like object.

Enable debugging to get additional information about a request.

To log requests, use the built-in request logging. Add this before making a request:

import logging
from http.client import HTTPConnection
HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
urllib_log = logging.getLogger("urllib3")
urllib_log.setLevel(logging.DEBUG)
urllib_log.propagate = True

This will print everything apart from the HTTP response body. See the Requests library for Python for the original recipe.

To log specific parts like URL, status code, headers, or body, add this:

import requests
import logging
import json
from akamai.edgegrid import EdgeGridAuth, EdgeRc
from urllib.parse import urljoin

logger = logging.getLogger('requests_logger')
logging.basicConfig(level=logging.DEBUG)

edgerc = EdgeRc('~/.edgerc')
section = 'default'
baseurl = 'https://%s' % edgerc.get(section, 'host')

session = requests.Session()
session.auth = EdgeGridAuth.from_edgerc(edgerc, section)

path = '/identity-management/v3/user-profile'

result = session.get(urljoin(baseurl, path))
logger.debug(f'URL: {result.url}')
logger.debug(f'Status Code: {result.status_code}')
logger.debug(f'Headers: {result.headers}')
logger.debug(f'Body: {result.json()}')

A virtual environment is a tool to keep dependencies required by different projects in separate places. The venv module is included in Python 3 by default.

Set up a virtual environment:

1. Initialize your environment in a new directory.

   // Unix/macOS
   python3 -m venv ~/Desktop/myenv
   
   // Windows
   py -m venv ~/Desktop/myenv
   

   This creates a venv in the specified directory as well as copies pip into it.

2. Activate your environment.

   // Unix/macOS
   source ~/Desktop/myenv/bin/activate
   
   // Windows
   ~/Desktop/myenv/Scripts/activate
   

   Your prompt will change to show you're working in a virtual environment, for example:

   (myenv) jsmith@abc-de12fg $
   

3. To recreate the environment, install the required dependencies within your project.

   pip install -r dev-requirements.txt
   

4. Run the tests.

   // Unix/macOS
   pytest -v
   
   // Windows
   py -m pytest -v
   

5. To deactivate your environment, run the deactivate command.

To report an issue or make a suggestion, create a new GitHub issue.

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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.