Token Storage

Configure custom token storage for a NativeClient. Custom token storage can be configured by passing in a complient instance as token_storage, shown below.

from fair_research_login import NativeClient, JSONTokenStorage

app = NativeClient(
    client_id='my-client-id',
    token_storage=JSONTokenStorage('mytokens.json')
)

class fair_research_login.MultiClientTokenStorage(filename=None, section=None, permission=None)

Bases: ConfigParserTokenStorage

An extension on ConfigParserTokenStorage which allows for saving tokens in separate sections based on the passed in client_id used for the app.

class fair_research_login.ConfigParserTokenStorage(filename=None, section=None, permission=None)

Bases: object

Basic ConfigParser object which allows for storage without any external Python dependencies.

class fair_research_login.JSONTokenStorage(filename=None, permission=None)

Bases: object

Stores tokens in json format on disk in the local directory by default.