CLN: use pydata-google-auth for auth flow #241
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Only private_key logic and customized path for credentials cache remain. At some point in the future private_key logic will be removed, as that parameter is deprecated in favor of the credentials argument. Also removes the _try_credentials logic, as that slows down the authentication process and is largely unnecessary now that credentials can be explicitly created and supplied via the credentials argument.
max-sixty
approved these changes
Dec 20, 2018
| @@ -12,40 +12,34 @@ | |||
| logger = logging.getLogger(__name__) | |||
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| CREDENTIALS_CACHE_DIRNAME = "pandas_gbq" | |||
| CREDENTIALS_CACHE_FILENAME = "bigquery_credentials.dat" | |||
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To confirm, you think we should have something specific for pandas_gbq rather than anything using pydata_google_auth?
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This was mostly to be backwards compatible. I guess people won't be too annoyed if we change the credentials location and they have to reauth?
Another concern is if they use the pydata_google_auth location, it may get confusing if they use that library with different scopes somewhere else.
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Only private_key logic and customized path for credentials cache remain.
At some point in the future private_key logic will be removed, as that
parameter is deprecated in favor of the credentials argument.
Also removes the _try_credentials logic, as that slows down the
authentication process and is largely unnecessary now that credentials
can be explicitly created and supplied via the credentials argument.
Closes #161