anaconda-cloud-auth 0.1.1

A client auth library for Anaconda.cloud APIs

anaconda-cloud-auth

A client library for Anaconda.cloud APIs to authenticate and securely store API keys.

This package also provides a requests client class that handles loading the API key for requests made to Anaconda Cloud services.

Interactive login/logout

In order to use the request client class you must first login interactively. This can be done using the Python API or CLI (see below).

Login API

from anaconda_cloud_auth import login

login()

The login() function initiates a browser-based login flow. It will automatically open your browser and once you have completed the login flow it will store an API key in your system keychain using the keyring package.

Typically, these API keys will have a one year expiration so you will only need to login once and requests using the client class will read the token from the keyring storage.

If you call login() while there is a valid (non-expired) API key in your keyring no action is taken. You can replace the valid API key with login(force=True).

Password-based flow (Deprecated)

WARNING: Password-based login flow will be disable in the near future.

You can login into Anaconda Cloud using username/password flow (non-browser) with the basic=True keyword argument. The login() function will interactively request your username and password before completing login and storing the API key.

from anaconda_cloud_auth import login

login(basic=True)

Logout

To remove the API key from your keyring storage use the logout() function.

from anaconda_cloud_auth import logout

logout()

API requests

The Client class is a subclass of requests.Session. It will automatically load the API key from the keyring on each request. If the API key is expired it will raise a TokenExpiredError.

The Client class can be used for non-authenticated requests, if the API key cannot be found and the request returns 401 or 403 error codes the LoginRequiredError will be raised.

To create a Client class in your package use the client_factory() function, which takes a user-agent string as input.

from anaconda_cloud_auth import client_factory

Client = client_factory('<my-application>/<version>')

client = Client()
response = client.get("/api/<endpoint>")
print(response.json())

CLI usage

To use anaconda-cloud-auth as a CLI you will need to install the anaconda-cloud package. Once installed you can use the anaconda CLI to login and logout of Anaconda Cloud.

❯ anaconda login --help

 Usage: anaconda login [OPTIONS]

 Login to your Anaconda account.

╭─ Options ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --domain                  TEXT  [default: None]                                                                                │
│ --basic     --no-basic          Depcrecated [default: no-basic]                                                                │
│ --force     --no-force          [default: no-force]                                                                            │
│ --help                          Show this message and exit.                                                                    │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Configuration

You can configure anaconda-cloud-auth by setting ANACONDA_CLOUD_ environment variables or use a .env file. The .env file must be in your current working directory. An example template is provided in the repo, which contains the following options, which are the default values.

# Logging level
LOGGING_LEVEL="INFO"

# Base URL for all API endpoints
ANACONDA_CLOUD_API_DOMAIN="anaconda.cloud"

# Authentication settings
ANACONDA_CLOUD_AUTH_DOMAIN="id.anaconda.cloud"
ANACONDA_CLOUD_AUTH_CLIENT_ID="b4ad7f1d-c784-46b5-a9fe-106e50441f5a"

If you do not specify the .env file, the production configuration should be the default. Please file an issue if you see any errors.

Setup for development

Ensure you have conda installed. Then run:

make setup

Run the unit tests

make test

Run the unit tests across isolated environments with tox

make tox