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

54 lines
1.8 KiB
Python

# Copyright 2019 Google LLC
#
# 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_import_data_from_gcs(
dataset_path: str,
input_uris: list,
retry=None, #=google.api_core.gapic_v1.method.DEFAULT,
timeout=None, #=google.api_core.gapic_v1.method.DEFAULT,
metadata: dict = None,
) -> NamedTuple('Outputs', [('dataset_path', str)]):
import sys
import subprocess
subprocess.run([sys.executable, '-m', 'pip', 'install', 'google-cloud-automl==0.4.0', '--quiet', '--no-warn-script-location'], env={'PIP_DISABLE_PIP_VERSION_CHECK': '1'}, check=True)
import google
from google.cloud import automl
client = automl.AutoMlClient()
input_config = {
'gcs_source': {
'input_uris': input_uris,
},
}
response = client.import_data(
dataset_path,
input_config,
retry or google.api_core.gapic_v1.method.DEFAULT,
timeout or google.api_core.gapic_v1.method.DEFAULT,
metadata,
)
result = response.result()
print(result)
metadata = response.metadata
print(metadata)
return (dataset_path)
if __name__ == '__main__':
import kfp
kfp.components.func_to_container_op(automl_import_data_from_gcs, output_component_file='component.yaml', base_image='python:3.7')