A client auth library for Anaconda.cloud APIs
Project description
anaconda-cloud-auth
A client library for Anaconda.cloud APIs to authenticate and securely store API keys. This library is used by other Anaconda.cloud client packages to provide a centralized auth capability for the ecosystem. You will need to use this package to login to Anaconda.cloud before utilizing many of the other client packages.
This package provides a requests client class that handles loading the API key for requests made to Anaconda Cloud services.
This package provides a Panel OAuth plugin
called anaconda_cloud
.
Installation
conda install anaconda-cloud-auth
Usage
The primary usage of this package is to provide CLI actions for login, logout, user information, and api-keys to Anaconda Cloud API Services.
❯ anaconda cloud
Usage: anaconda cloud [OPTIONS] COMMAND [ARGS]...
Anaconda.cloud auth commands
╭─ Options ──────────────────────────────────────────────────────────────────────────────────╮
│ --version -V │
│ --help Show this message and exit. │
╰────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ─────────────────────────────────────────────────────────────────────────────────╮
│ api-key Display API Key for signed-in user │
│ login Login │
│ logout Logout │
│ whoami Display information about the currently signed-in user │
╰────────────────────────────────────────────────────────────────────────────────────────────╯
Configuration
You can configure anaconda-cloud-auth
by either
- Setting parameters in the
plugin.cloud
section of the~/.anaconda/config.toml
file - Setting one or more
ANACONDA_CLOUD_
environment variables or use a.env
file in your working directory
ANACONDA_CLOUD_
env vars or .env
file take precedence over the ~/.anaconda/config.toml
file.
Anaconda Cloud parameters
The following parameters in the plugin.cloud
section control the login actions and API requests to Anaconda Cloud Services.
Parameter | Env variable | Description | Default value |
---|---|---|---|
domain |
ANACONDA_CLOUD_DOMAIN |
Authentication and API request domain | "anaconda.cloud" |
ssl_verify |
ANACONDA_CLOUD_SSL_VERIFY |
SSL verification for all requests | True |
preferred_token_storage |
ANACONDA_CLOUD_PREFERRED_TOKEN_STORAGE |
Where to store the login token, can be "anaconda-keyring" or "system" |
"anaconda-keyring" |
api_key |
ANACONDA_CLOUD_API_KEY |
API key, if None defaults to keyring storage |
None |
extra_headers |
ANACONDA_CLOUD_EXTRA_HEADERS |
Extra request headers in JSON format | None |
Example
Here's an example ~/.anaconda/config.toml
where SSL verification is turned
off for login and API requests and the preferred token storage is anaconda-keyring
.
[plugin.cloud]
ssl_verify = false
preferred_token_storage = "system"
API Keys and tokens
When you login
with anaconda-cloud-auth
an auth token is stored in the preferred keyring storage location and is
deleted when you run logout
. The auth token will need to be renewed once a year.
The preferred_storage
configuration parameter in the plugin.cloud
section of the config.toml file takes two
possible values
Storage location | Description |
---|---|
"system" |
Use the system keyring if available, otherwise use anaconda-keyring |
"anaconda-keyring" |
A file-based keyring at ~/.anaconda/keyring |
"anaconda-keyring"
is the default value.
Non-interactive use
If you want to utilize Anaconda Cloud Services on a system where you do not have interactive access to a browser to
use the login
command you have two options
- Use
anaconda cloud api-key
command on a system where you can login to print the API key to the terminal. You can then utilize the API key on the non-interactive system with theANACONDA_CLOUD_API_KEY
env var (or in.env
file) or set thekey
parameter in theplugin.cloud_api
section of the~/.anaconda/config.toml
file. - With
preferred_token_storage
set to"anaconda-keyring"
run thelogin
command to create the~/.anaconda/keyring
file. Then copy~/.anaconda/keyring
to the non-interactive system.
Python 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 on your system.
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 no action is
taken. You can replace the valid API key with login(force=True)
.
To remove the API key from your keyring storage use the logout()
function.
from anaconda_cloud_auth import logout
logout()
API requests
The BaseClient class is a subclass of requests.Session.
It will attempt load the API key from the keyring on each request unless overridden
by the api_key
argument.
The BaseClient class can be used for non-authenticated requests even when the user has not logged in or provided an API in the request.
from anaconda_cloud_auth.client import BaseClient
client = BaseClient()
response = client.get("/api/<endpoint>")
response.raise_for_status()
print(response.json())
BaseClient accepts the following optional arguments.
domain
: Domain to use for requests, defaults toanaconda.cloud
ssl_verify
: Enable SSL verification, defaults toTrue
api_key
: API key to use for requests, if unspecified uses token set byanaconda login
user_agent
: Defaults toanaconda-cloud-auth/<package-version>
api_version
: Requested API version, defaults to latest available from the domainextra_headers
: Dictionary or JSON string of extra headers to send in requests
To create a Client class specific to your package, subclass BaseClient and set an appropriate user-agent and API version for your needs. This is automatically done if you use the cookiecutter in this repository to create a new package.
from anaconda_cloud_auth.client import BaseClient
class Client(BaseClient):
_user_agent = "anaconda-cloud-<package>/<version>"
_api_version = "<api-version>"
CLI Error handlers
This plugin defines an error handler for the HTTPError
exception when using .raise_for_status()
on a response
using BaseClient or subclasses of BaseClient. Errors are not caught automatically when using the BaseClient
or subclasses outside of anaconda
CLI subcommands.
Login required
For the following cases if running the CLI command interactively the user is asked if they wish to continue with interactive login. Once completed the command will be re-tried.
TokenNotFoundError
: The subcommand requested to load the token from the keyring but none were presentTokenExpiredError
: The token was successfully loaded but has expiredAuthenticationMissing
: Derived fromrequests.exceptions.HTTPError
, the request was made without an API key or token to an endpoint that requires authentication.InvalidAuthentication
: Derived fromrequests.exceptions.HTTPError
, the request was made using an API key or token but Anaconda Cloud determines that the API was invalid
Here's an example demonstrating that the user has not previously run anaconda login
but attempted a CLI command that at some point requires authentication. By typing y
the login action is triggered and their browser will open.
❯ anaconda cloud api-key
TokenNotFoundError: Login is required to complete this action.
Continue with interactive login? [y/n]: y
<api-key>
If the user typed n
or the command was not run on an interactive terminal an error message is shown instructing
the user how to login or configure the API key.
❯ anaconda cloud whoami
AuthenticationMissingError: Login is required to complete this action.
Continue with interactive login? [y/n]: n
To configure your credentials you can run
anaconda login --at cloud
or set your API key using the ANACONDA_CLOUD_API_KEY env var
or set
[plugin.cloud]
api_key = "<api-key>"
in ~/.anaconda/config.toml
To see a more detailed error message run the command again as
anaconda --verbose cloud whoami
HTTPError
In addition to the two special cases above all HTTPError exceptions thrown during CLI subcommands will be handled to provide the error code and reason.
For example a subcommand using BaseClient or a subclass of it may make a bad request.
@plugin.subcommand('do-something')
def do_something(inputs: Annotated[Any, typer.Argument()]):
client = Client()
res = client.post('api/something', data=inputs)
res.raise_for_status()
For this example subcommand the user may provide incorrect inputs that are passed to the endpoint. By using
.raise_for_status()
the error is passed along to the CLI user and a short response is printed.
> anaconda plugin do-something 'input-data'
HTTPError: 422 Client Error: Unprocessable Entity for url: https://anaconda.cloud/api/something
To see a more detailed error message run the command again as
anaconda --verbose plugin do-something
Panel OAuth Provider
In order to use the anaconda_cloud
auth plugin you will need an OAuth client
ID (key) and secret. The client must be configured as follows
Set scopes: offline_access, openid, email, profile
Set redirect url to http://localhost:5006
Set grant type: Authorization Code
Set response types: ID Token, Token, Code
Set access token type: JWT
Set Authentication Method: HTTP Body
To run the app with the anaconda_cloud auth provider you will need to set several environment variables or command-line arguments. See the Panel OAuth documentation for more details
PANEL_OAUTH_PROVIDER=anaconda_cloud or --oauth-provider anaconda_cloud
PANEL_OAUTH_KEY=<key> or --oauth-key=<key>
PANEL_OAUTH_SECRET=<secret> or --oauth-secret=<key>
PANEL_COOKIE_SECRET=<cookie-name> or --cookie-secret=<value>
PANEL_OAUTH_REFRESH_TOKENS=1 or --oauth-refresh-tokens
PANEL_OAUTH_OPTIONAL=1 or --oauth-optional
panel serve <arguments> ...
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
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