Introduction¶
pydata-google-auth wraps the google-auth and google-auth-oauthlib libraries to make it easier to get and cache user credentials for accessing the Google APIs from locally-installed data tools and libraries.
Warning
To use this module, you will need a Google account and developer project. Follow the Using the BigQuery sandbox instructions to get started with big data on Google Cloud without a credit card.
See the Google Cloud Platform authentication guide for best practices on authentication in production server contexts.
User credentials¶
Use the pydata_google_auth.get_user_credentials() to get user
credentials, authenticated to Google APIs.
By default, pydata-google-auth will listen for the credentials on a local
webserver, which is used as the redirect page from Google’s OAuth 2.0 flow.
When you set use_local_webserver=False, pydata-google-auth will request
that you copy a token from the Sign in to BigQuery page.
Default credentials¶
Data library and tool authors can use the pydata_google_auth.default()
function to get Application Default Credentials
and fallback to user credentials when no valid Application Default
Credentials are found.
When wrapping the pydata_google_auth.default() method for use in your
tool or library, please provide your own client ID and client secret. Enable
the APIs your users will need in the project which owns the client ID and
secrets. Note that some APIs, such as Cloud Vision, bill the client
project. Verify that the API you are enabling bills the user’s project not
the client project.