GcsClient
(
bucket_name
=
None
,
client
=
None
,
credentials
=
None
,
project
=
None
)
Uploads Pandas DataFrame to a bucket in Google Cloud Storage.
Methods
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. |
