GcsClient(bucket_name=None, client=None, credentials=None, project=None)Uploads Pandas DataFrame to a bucket in Google Cloud Storage.
Inheritance
builtins.object > GcsClientMethods
GcsClient
GcsClient(bucket_name=None, client=None, credentials=None, project=None)Constructor.
| Name | Description |
| 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. |
| project |
Optional[str]
The project ID of the GCP project to attach to the underlying storage client. If none is 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.
| Name | Description |
| project |
str
The ID of 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.
| Name | Description |
| dataframe |
pandas.DataFrame
The Pandas Dataframe to be uploaded. |
| uploaded_csv_name |
Optional[str]
The name for the uploaded CSV. |