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Yang Wang 6d4f5f7688 [Utilization][Usage Log] Add data model for record (#145114) 
Add data model for consistency and data model change in the future.

The data model will be used during the post-test-process pipeline
Pull Request resolved: https://github.com/pytorch/pytorch/pull/145114
Approved by: https://github.com/huydhn
2025-01-23 19:04:41 +00:00
..
__init__.py
check_disabled_tests.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
export_test_times.py Revert "Use absolute path path.resolve() -> path.absolute() (#129409)" 2025-01-04 14:17:20 +00:00
import_test_stats.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
monitor.py [Utilization][Usage Log] Add data model for record (#145114) 2025-01-23 19:04:41 +00:00
README.md Remove most rockset references (#139922) 2024-11-12 21:17:43 +00:00
sccache_stats_to_benchmark_format.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
test_dashboard.py Upload all run attempts when in upload_test_stats_intermediate (#140459) 2024-11-18 21:40:10 +00:00
upload_artifacts.py Revert "Use absolute path path.resolve() -> path.absolute() (#129409)" 2025-01-04 14:17:20 +00:00
upload_dynamo_perf_stats.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
upload_external_contrib_stats.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
upload_metrics.py Remove most rockset references (#139922) 2024-11-12 21:17:43 +00:00
upload_sccache_stats.py Remove most rockset references (#139922) 2024-11-12 21:17:43 +00:00
upload_stats_lib.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
upload_test_stats.py Fix flaky "Upload test stats" job (#143991) 2024-12-30 21:40:01 +00:00
upload_test_stats_intermediate.py Upload all run attempts when in upload_test_stats_intermediate (#140459) 2024-11-18 21:40:10 +00:00
upload_test_stats_running_jobs.py PEP585 update - benchmarks tools torchgen (#145101) 2025-01-18 05:05:07 +00:00
utilization_stats_lib.py [Utilization][Usage Log] Add data model for record (#145114) 2025-01-23 19:04:41 +00:00

README.md

PyTorch CI Stats

We track various stats about each CI job.

  1. Jobs upload their artifacts to an intermediate data store (either GitHub Actions artifacts or S3, depending on what permissions the job has). Example: a9f6a35a33/.github/workflows/_linux-build.yml (L144-L151)
  2. When a workflow completes, a workflow_run event triggers upload-test-stats.yml.
  3. upload-test-stats downloads the raw stats from the intermediate data store and uploads them as JSON to s3, which then uploads to our database backend
graph LR
    J1[Job with AWS creds<br>e.g. linux, win] --raw stats--> S3[(AWS S3)]
    J2[Job w/o AWS creds<br>e.g. mac] --raw stats--> GHA[(GH artifacts)]

    S3 --> uts[upload-test-stats.yml]
    GHA --> uts

    uts --json--> s3[(s3)]
    s3 --> DB[(database)]

Why this weird indirection? Because writing to the database requires special permissions which, for security reasons, we do not want to give to pull request CI. Instead, we implemented GitHub's recommended pattern for cases like this.

For more details about what stats we export, check out upload-test-stats.yml