pipelines/components/gcp/automl/create_dataset_for_tables/component.py

70 lines
2.6 KiB
Python

# Copyright 2019 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import NamedTuple
def automl_create_dataset_for_tables(
gcp_project_id: str,
gcp_region: str,
display_name: str,
description: str = None,
tables_dataset_metadata: dict = {},
retry=None, #=google.api_core.gapic_v1.method.DEFAULT,
timeout: float = None, #=google.api_core.gapic_v1.method.DEFAULT,
metadata: dict = None,
) -> NamedTuple('Outputs', [('dataset_path', str), ('create_time', str), ('dataset_id', str), ('dataset_url', 'URI')]):
'''automl_create_dataset_for_tables creates an empty Dataset for AutoML tables
'''
import google
from google.cloud import automl
client = automl.AutoMlClient()
location_path = client.location_path(gcp_project_id, gcp_region)
dataset_dict = {
'display_name': display_name,
'description': description,
'tables_dataset_metadata': tables_dataset_metadata,
}
dataset = client.create_dataset(
location_path,
dataset_dict,
retry or google.api_core.gapic_v1.method.DEFAULT,
timeout or google.api_core.gapic_v1.method.DEFAULT,
metadata,
)
print(dataset)
dataset_id = dataset.name.rsplit('/', 1)[-1]
dataset_url = 'https://console.cloud.google.com/automl-tables/locations/{region}/datasets/{dataset_id}/schemav2?project={project_id}'.format(
project_id=gcp_project_id,
region=gcp_region,
dataset_id=dataset_id,
)
return (dataset.name, str(dataset.create_time), dataset_id, dataset_url)
if __name__ == '__main__':
from kfp.components import create_component_from_func
automl_create_dataset_for_tables_op = create_component_from_func(
automl_create_dataset_for_tables,
output_component_file='component.yaml',
base_image='python:3.7',
packages_to_install=['google-cloud-automl==0.4.0'],
annotations={
"author": "Alexey Volkov <alexey.volkov@ark-kun.com>",
"canonical_location": "https://raw.githubusercontent.com/Ark-kun/pipeline_components/master/components/gcp/automl/create_dataset_for_tables/component.yaml",
},
)