Class GcsClient (0.5.0)
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GcsClient(bucket_name=None, client=None, credentials=None)Uploads Pandas DataFrame to a bucket in Google Cloud Storage.
Methods
GcsClient
GcsClient(bucket_name=None, client=None, credentials=None)Constructor.
bucket_name
Optional[str]
The name of Google Cloud Storage bucket for this client to send requests to.
client
Optional[storage.Client]
A Google Cloud Storage Client instance.
credentials
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment.
ensure_bucket_exists
ensure_bucket_exists(project, region)Checks if a bucket named '{project}-automl-tables-staging' exists.
If this bucket doesn't exist, creates one.
If this bucket already exists in project, do nothing.
If this bucket exists in a different project that we don't have
access to, creates a bucket named
'{project}-automl-tables-staging-{create_timestamp}' because bucket's
name must be globally unique.
Save the created bucket's name and reuse this for future requests.
project
str
The project that stores the bucket.
region
str
The region of the bucket.
upload_pandas_dataframe
upload_pandas_dataframe(dataframe, uploaded_csv_name=None)Uploads a Pandas DataFrame as CSV to the bucket.
dataframe
pandas.DataFrame
The Pandas Dataframe to be uploaded.
uploaded_csv_name
Optional[str]
The name for the uploaded CSV.