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https://github.com/pytorch/pytorch.git
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45411d1fc9
Changes: 1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()` 2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory. Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409 Approved by: https://github.com/albanD
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
import argparse
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import os
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import re
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from tempfile import TemporaryDirectory
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from tools.stats.upload_stats_lib import download_gha_artifacts, upload_file_to_s3
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ARTIFACTS = [
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"sccache-stats",
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"test-jsons",
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"test-reports",
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"usage-log",
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]
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BUCKET_NAME = "gha-artifacts"
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FILENAME_REGEX = r"-runattempt\d+"
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def get_artifacts(repo: str, workflow_run_id: int, workflow_run_attempt: int) -> None:
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with TemporaryDirectory() as temp_dir:
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print("Using temporary directory:", temp_dir)
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os.chdir(temp_dir)
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for artifact in ARTIFACTS:
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artifact_paths = download_gha_artifacts(
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artifact, workflow_run_id, workflow_run_attempt
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)
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for artifact_path in artifact_paths:
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# GHA artifact is named as follows: NAME-runattempt${{ github.run_attempt }}-SUFFIX.zip
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# and we want remove the run_attempt to conform with the naming convention on S3, i.e.
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# pytorch/pytorch/WORKFLOW_ID/RUN_ATTEMPT/artifact/NAME-SUFFIX.zip
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s3_filename = re.sub(FILENAME_REGEX, "", artifact_path.name)
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upload_file_to_s3(
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file_name=str(artifact_path.absolute()),
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bucket=BUCKET_NAME,
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key=f"{repo}/{workflow_run_id}/{workflow_run_attempt}/artifact/{s3_filename}",
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)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Upload test artifacts from GHA to S3")
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parser.add_argument(
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"--workflow-run-id",
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type=int,
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required=True,
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help="id of the workflow to get artifacts from",
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)
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parser.add_argument(
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"--workflow-run-attempt",
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type=int,
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required=True,
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help="which retry of the workflow this is",
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)
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parser.add_argument(
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"--repo",
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type=str,
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required=True,
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help="which GitHub repo this workflow run belongs to",
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)
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args = parser.parse_args()
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get_artifacts(args.repo, args.workflow_run_id, args.workflow_run_attempt)
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