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auth.py
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"""Private module for fetching Google BigQuery credentials."""
import logging
logger = logging.getLogger(__name__)
CREDENTIALS_CACHE_DIRNAME = "pandas_gbq"
CREDENTIALS_CACHE_FILENAME = "bigquery_credentials.dat"
SCOPES = ["https://www.googleapis.com/auth/bigquery"]
# The following constants are used for end-user authentication.
# It identifies (via credentials from the pandas-gbq-auth GCP project) the
# application that is requesting permission to access the BigQuery API on
# behalf of a G Suite or Gmail user.
#
# In a web application, the client secret would be kept secret, but this is not
# possible for applications that are installed locally on an end-user's
# machine.
#
# See: https://cloud.google.com/docs/authentication/end-user for details.
CLIENT_ID = (
"725825577420-unm2gnkiprugilg743tkbig250f4sfsj.apps.googleusercontent.com"
)
CLIENT_SECRET = "4hqze9yI8fxShls8eJWkeMdJ"
def get_credentials(
private_key=None, project_id=None, reauth=False, auth_local_webserver=False
):
import pydata_google_auth
if private_key:
raise NotImplementedError(
"""The private_key argument is deprecated. Construct a credentials
object, instead, by using the
google.oauth2.service_account.Credentials.from_service_account_file or
google.oauth2.service_account.Credentials.from_service_account_info class
method from the google-auth package."""
)
credentials, default_project_id = pydata_google_auth.default(
SCOPES,
client_id=CLIENT_ID,
client_secret=CLIENT_SECRET,
credentials_cache=get_credentials_cache(reauth),
auth_local_webserver=auth_local_webserver,
)
project_id = project_id or default_project_id
return credentials, project_id
def get_credentials_cache(reauth,):
import pydata_google_auth.cache
if reauth:
return pydata_google_auth.cache.WriteOnlyCredentialsCache(
dirname=CREDENTIALS_CACHE_DIRNAME,
filename=CREDENTIALS_CACHE_FILENAME,
)
return pydata_google_auth.cache.ReadWriteCredentialsCache(
dirname=CREDENTIALS_CACHE_DIRNAME, filename=CREDENTIALS_CACHE_FILENAME
)