v20250919-172720

[ALI] adds AUTH_GH_ORG and AUTH_GH_REPO to set/restrict authenticatio…

v20250918-223207-custom

[AMI] Update pytest-rerunfailures to 10.3 (#7189)

And don't try to install it twice

As that's the one that has been used for testing for quite some time see
https://github.com/pytorch/test-infra/blob/be01a40157c36cd5a48391fdf44a7bc3ebd4c7e3/aws/ami/windows/scripts/Installers/Install-Pip-Dependencies.ps1#L16

And using 10.2 results in 
```
 INTERNALERROR> pluggy._manager.PluginValidationError: unknown hook 'pytest_configure_node'
```

v20250917-232928

[autorevert] Breaks down dry_run logic for revert and restart (#7179)

*PLEASE NOTE*
this PR is intended to be on top of
https://github.com/pytorch/test-infra/pull/7179
maybe merge that one before reviewing this one to make reviewing easier

Breaking down the dry_run logic for revert and restart is required so we
can continue to safely work towards improving the autorevert safely.

Not adding the logic is not the best option, as I hope we'll be able to
run it locally a few times and iterate on that before publishing. And
rely on code commenting and other not so great approaches is not ideal.

---------

Co-authored-by: Ivan Zaitsev <[email protected]>

v20250917-164214-custom

[autorevert] Remove legacy entry point and fix bugs on ci entry (#7178)

Main entry point had some strange references to past autorevert code
that could not be reached.

And there is no point of using the old version of the code, so, to start
the cleanup I am fixing bugs on entrypoint and removing the references
to it.

v20250917-161407

[autorevert] Remove legacy entry point and fix bugs on ci entry (#7178)

Main entry point had some strange references to past autorevert code
that could not be reached.

And there is no point of using the old version of the code, so, to start
the cleanup I am fixing bugs on entrypoint and removing the references
to it.

v20250917-004931

[autorevert] implement actions layer and logging (#7169)

This pull request:
* introduces a final "Signal Actions" layer (responsible for executing
side effects of processed Signals, like restarts and reverts)
* changes the main entry point for the PyTorch auto-revert Lambda to use
the new signals-based autorevert flow by default.
* for observability, two CH tables are added: 
  * `autorevert_events_v2`
  * `autorevert_state`


See [the
spec](https://github.com/pytorch/test-infra/blob/ff2645443aafb0209d7f546302a5c09d8243cb31/aws/lambda/pytorch-auto-revert/SIGNAL_ACTIONS.md)
for more details.



### Testing

Tested locally (only restart & state logging):


```
HOURS=18 WORKFLOWS=Lint,trunk,pull,inductor python -m pytorch_auto_revert
INFO:root:[v2] Start: workflows=Lint,trunk,pull,inductor hours=18 repo=pytorch/pytorch dry_run=False
INFO:root:[v2] Run timestamp (CH log ts) = 2025-09-16T15:51:18.656175
INFO:pytorch_auto_revert.signal_extraction_datasource:[extract] Fetching jobs: repo=pytorch/pytorch workflows=Lint,trunk,pull,inductor lookback=18h
INFO:pytorch_auto_revert.signal_extraction_datasource:[extract] Jobs fetched: 6738 rows in 45.70s
INFO:pytorch_auto_revert.signal_extraction_datasource:[extract] Fetching tests for 414 job_ids (20 failed jobs) in batches
INFO:pytorch_auto_revert.signal_extraction_datasource:[extract] Test batch 1/1 (size=414)
INFO:pytorch_auto_revert.signal_extraction_datasource:[extract] Tests fetched: 231 rows for 414 job_ids in 1.95s
INFO:root:[v2] Extracted 19 signals
INFO:root:[v2][signal] wf=trunk key=inductor/test_cudagraph_trees.py::test_graph_partition outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=test_transformers.py::test_fused_sdp_priority_order_use_compile_False_cuda outcome=Ineligible(reason=<IneligibleReason.NO_SUCCESSES: 'no_successes'>, message='no successful commits present in window')
INFO:root:[v2][signal] wf=trunk key=export/test_hop.py::test_retrace_export_local_map_hop_simple_cuda_float32 outcome=Ineligible(reason=<IneligibleReason.NO_SUCCESSES: 'no_successes'>, message='no successful commits present in window')
INFO:root:[v2][signal] wf=trunk key=inductor/test_cudagraph_trees_expandable_segments.py::test_forward_backward_not_called_backend_inductor outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=export/test_hop.py::test_pre_dispatch_export_local_map_hop_simple_cuda_float32 outcome=Ineligible(reason=<IneligibleReason.NO_SUCCESSES: 'no_successes'>, message='no successful commits present in window')
INFO:root:[v2][signal] wf=trunk key=export/test_hop.py::test_serialize_export_local_map_hop_simple_cuda_float32 outcome=Ineligible(reason=<IneligibleReason.NO_SUCCESSES: 'no_successes'>, message='no successful commits present in window')
INFO:root:[v2][signal] wf=trunk key=export/test_hop.py::test_aot_export_local_map_hop_simple_cuda_float32 outcome=Ineligible(reason=<IneligibleReason.NO_SUCCESSES: 'no_successes'>, message='no successful commits present in window')
INFO:root:[v2][signal] wf=trunk key=inductor/test_cudagraph_trees_expandable_segments.py::test_graph_partition outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=inductor/test_cudagraph_trees.py::test_forward_backward_not_called_backend_inductor outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=distributed/tensor/debug/test_debug_mode.py::test_debug_mode_backward outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=Lint key=lintrunner-noclang / linux-job outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=pull key=linux-jammy-py3.10-clang12 / test outcome=Ineligible(reason=<IneligibleReason.FLAKY: 'flaky'>, message='signal is flaky (mixed outcomes on same commit)')
INFO:root:[v2][signal] wf=trunk key=win-vs2022-cpu-py3 / test outcome=Ineligible(reason=<IneligibleReason.FLAKY: 'flaky'>, message='signal is flaky (mixed outcomes on same commit)')
INFO:root:[v2][signal] wf=inductor key=unit-test / inductor-test / test outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=win-vs2022-cpu-py3 / build outcome=RestartCommits(commit_shas={'814338826e0b5cd065f8278c4b9487f13e16a5c7'})
INFO:root:[v2][signal] wf=inductor key=inductor-cpu-test / test outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=trunk key=win-vs2022-cuda12.6-py3 / build outcome=RestartCommits(commit_shas={'814338826e0b5cd065f8278c4b9487f13e16a5c7'})
INFO:root:[v2][signal] wf=inductor key=unit-test / inductor-cpu-build / build outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2][signal] wf=pull key=linux-jammy-py3.13-clang12 / test outcome=Ineligible(reason=<IneligibleReason.FIXED: 'fixed'>, message='signal appears recovered at head')
INFO:root:[v2] Candidate action groups: 1
INFO:root:[v2][action] preparing to execute ActionGroup(type='restart', commit_sha='814338826e0b5cd065f8278c4b9487f13e16a5c7', workflow_target='trunk', sources=[SignalMetadata(workflow_name='trunk', key='win-vs2022-cpu-py3 / build'), SignalMetadata(workflow_name='trunk', key='win-vs2022-cuda12.6-py3 / build')])
INFO:root:[v2][action] restart: skipping pacing (delta_sec=-24852)
INFO:root:[v2] Executed action groups: 0
INFO:root:[v2] State logged
```

v20250916-131543

[autorevert] filter out 'mem_leak_check' and 'rerun_disabled_tests' w…

v20250916-131426

[autorevert] non nullable dates & dedup (#7167)

**Signal event deduplication and timestamp handling:**

* Added a deduplication step in `SignalExtractor` to remove duplicate
signal events within commits, based on identical `(started_at,
wf_run_id)` pairs. This addresses issues with "rerun failed" jobs in
GitHub workflows that reuse the same underlying job (but reports them
with different job ids)

* For test-track signals, extract start_date from the specific job that
hosted the test (when available)

* Changed all job and signal timestamp fields (`started_at`,
`created_at`) to be non-optional and default

v20250916-092913

Improve the time series api + add policy for regression (#7156)

For API:
- Add model filters during query
- Add format options table, and raw
- add API hook method for frontend

add listCommits api

For regression lambda
- Add regression policy for compilation latency (if new value> 1.05 x
baseline, consider as regression)
- Change the data format to match with the api

v20250915-175459

fix makefile lint & typo (#7166)