mirror of
https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
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f184411666
* Create a function to get notebook python version for execution * Inject python version to yaml file * Fix python version references * Add python string to python version variable * add python version extraction script (untested) * Create a function to get notebook python version for execution * Inject python version to yaml file * Fix python version references * Add python string to python version variable * Remove one notebook condition * Remove extra check and use python 3 as default version * Use python3.9 as default version * Update python version notebook parser * Add python version to the notebook template * Fix bug * Update python version parser function * Add python version to a notebook for testing * Run linter * Use regex in python version parser function * Add new notebook for testing * Use better variable name * fix typo * Use f string instead + * Use python from env instead of using _PYTHON_VERSION * Use simpler regex * Add python version test notebook * Fixed a mistake * Updated notebook template with python version * Fixed python version format * Print log contents to stdout * Remove failing notebook * Run linter * Remove extra steps in the printed log * Edit comments * Run linter * Run linter * Revert test changes Co-authored-by: AG Sol <aarongabriel@google.com>
106 lines
3.5 KiB
Python
106 lines
3.5 KiB
Python
#!/usr/bin/env python
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# Copyright 2021 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Methods to run a notebook on Google Cloud Build"""
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from re import sub
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from typing import Optional
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import google.auth
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import yaml
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from google.api_core import client_options, operation
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from google.cloud.aiplatform import utils
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from google.cloud.devtools import cloudbuild_v1
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from google.cloud.devtools.cloudbuild_v1.types import Source, StorageSource
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from google.protobuf import duration_pb2
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from yaml.loader import FullLoader
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CLOUD_BUILD_FILEPATH = ".cloud-build/notebook-execution-test-cloudbuild-single.yaml"
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SERVICE_BASE_PATH = "cloudbuild.googleapis.com"
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def execute_notebook_remote(
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code_archive_uri: str,
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notebook_uri: str,
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notebook_output_uri: str,
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container_uri: str,
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private_pool_id: Optional[str],
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private_pool_region: Optional[str],
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tag: Optional[str],
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timeout_in_seconds: Optional[int] = None,
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python_version: Optional[str] = None
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) -> operation.Operation:
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"""Create and execute a single notebook on Google Cloud Build"""
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# Load build steps from YAML
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cloudbuild_config = yaml.load(open(CLOUD_BUILD_FILEPATH), Loader=FullLoader)
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substitutions = {
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"_PYTHON_IMAGE": container_uri,
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"_NOTEBOOK_GCS_URI": notebook_uri,
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"_NOTEBOOK_OUTPUT_GCS_URI": notebook_output_uri,
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"_PYTHON_VERSION" : f"python{python_version}"
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}
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if python_version is not None:
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substitutions["_PYTHON_VERSION"] = "python" + python_version
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build = cloudbuild_v1.Build()
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options: Optional[client_options.ClientOptions] = None
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if private_pool_id and private_pool_region:
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# substitutions["_PRIVATE_POOL_NAME"] = private_pool_id
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build.options = cloudbuild_config.get("options")
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build.options.pool = {"name": private_pool_id}
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# Switch to the regional endpoint of the pool
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options = client_options.ClientOptions(
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api_endpoint=f"{private_pool_region}-{SERVICE_BASE_PATH}"
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)
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# Authorize the client with Google defaults
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credentials, project_id = google.auth.default()
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client = cloudbuild_v1.services.cloud_build.CloudBuildClient(client_options=options)
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(
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source_archived_file_gcs_bucket,
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source_archived_file_gcs_object,
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) = utils.extract_bucket_and_prefix_from_gcs_path(code_archive_uri)
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build.source = Source(
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storage_source=StorageSource(
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bucket=source_archived_file_gcs_bucket,
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object_=source_archived_file_gcs_object,
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)
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)
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build.steps = cloudbuild_config["steps"]
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build.substitutions = substitutions
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build.timeout = duration_pb2.Duration(seconds=timeout_in_seconds)
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build.queue_ttl = duration_pb2.Duration(seconds=timeout_in_seconds)
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if tag:
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build.tags = [tag]
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operation = client.create_build(project_id=project_id, build=build)
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# Print the in-progress operation
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# print("IN PROGRESS:")
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# print(operation.metadata)
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# Print the completed status
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# print("RESULT:", result.status)
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return operation
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