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refactor(jobs): remove jobs-table dependencies from Python SDK (HYBIM-882)#109

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feat/HYBIM-882-port-d0dd159
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refactor(jobs): remove jobs-table dependencies from Python SDK (HYBIM-882)#109
etserend wants to merge 4 commits into
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feat/HYBIM-882-port-d0dd159

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Summary

Port of upstream commit d0dd159 from rungalileo/galileo-python — third and final commit in the HYBIM-882 upstream migration.

  • Delete src/splunk_ao/job_progress.py and src/splunk_ao/jobs.py — both relied on GET /jobs/{job_id} and GET /projects/{id}/runs/{id}/jobs endpoints that the backend removed from its OpenAPI spec. This is the root cause of the PR Update API Client #108 (Update API Client) CI failure.
  • Rewrite Experiment.monitor_progress() to poll experiment status directly via get_status() + tqdm progress bar, removing all jobs-table dependency. The old job_id parameter is kept as a deprecated keyword-only arg emitting DeprecationWarning.
  • Delete tests/test_job_progress.py and tests/test_jobs.py.
  • Add tests/test_experiment_progress.py with 6 tests covering the new polling-based implementation.
  • Update tests/test_experiments.py to remove Jobs.create patches (no longer needed).

Test plan

  • pytest tests/test_experiment_progress.py — 6/6 pass
  • pytest tests/test_experiments.py — 80/80 pass
  • Full suite: 1662 passed (no regressions vs. main)

🤖 Generated with Claude Code

…-882)

Port of upstream rungalileo/galileo-python commit d0dd159.

- Delete src/splunk_ao/job_progress.py and src/splunk_ao/jobs.py; both
  relied on GET /jobs/{job_id} and GET /projects/{id}/runs/{id}/jobs
  endpoints that the backend removed from the OpenAPI spec.
- Rewrite Experiment.monitor_progress() to poll experiment status
  directly via get_status() + tqdm, removing the dependency on the
  jobs table.  The old job_id parameter is preserved as a deprecated
  keyword-only argument that emits DeprecationWarning so callers
  aren't broken silently.
- Delete tests/test_job_progress.py and tests/test_jobs.py.
- Add tests/test_experiment_progress.py with 6 tests for the new
  polling-based monitor_progress() implementation.
- Remove Jobs.create patches from tests/test_experiments.py.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

@fercor-cisco fercor-cisco left a comment

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🤖 This review was generated by the Astra agent (claude-opus-4-8). It may contain mistakes.

Verdict: request_changes — New polling loop has no failure/timeout exit, so a failed or stalled experiment polls forever — a regression from the old job_progress() which raised on failure.

Follow-ups

Suggested follow-up work that could be tracked as Shortcut stories:

  • src/splunk_ao/shared/experiment_result.py:227-230: ExperimentStatusInfo.is_failed and ExperimentPhaseInfo.is_failed are hardcoded to return False (TODO). Once the API exposes failure status, wiring these up would let monitor_progress and other consumers detect terminal failures properly.
  • tests/test_experiment_progress.py:36-102: Test coverage omits the failure/stall path (understandably, since the current implementation can't terminate on it). Once failure handling/timeout is added, add a test asserting monitor_progress raises or times out rather than hanging on a non-completing experiment.

Comment on lines +1176 to +1181
while not status.is_complete:
new_progress = status.overall_progress
progress_bar.update(new_progress - progress_bar.n)
sleep(poll_interval_seconds)
status = self.get_status()
progress_bar.update(100 - progress_bar.n)

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🟠 major (bug): This loop's only exit condition is log_generation progress reaching 100%. There is no failure detection and no timeout/max-attempts guard.

ExperimentStatusInfo.is_failed is a hardcoded stub (return False, see shared/experiment_result.py:227-230), and is_complete is purely progress_percent >= 100.0. So if the experiment fails, stalls, or the API never reports 100% (e.g. a completed experiment whose response lacks a log_generation phase, which ExperimentStatusInfo defaults to 0%), while not status.is_complete never terminates and this call hangs indefinitely, polling get_status() forever.

The old job_progress() explicitly raised ValueError on job failure — that safety net is gone. Please add a terminal-failure check and/or a bounded max-wait (e.g. a timeout_seconds param) so the loop can exit and surface an error instead of spinning forever.

🤖 Generated by the Astra agent

Comment thread src/splunk_ao/experiment.py Outdated
return ExperimentStatusInfo(self._experiment_response)

def monitor_progress(self, job_id: str | None = None) -> str:
def monitor_progress(self, poll_interval_seconds: float = 2.0, *, job_id: str | None = None) -> None:

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🟡 minor (design): Reordering makes job_id keyword-only while inserting poll_interval_seconds as the new first positional param. Existing callers that passed the job id positionally — experiment.monitor_progress("job-123") — will now silently bind that string to poll_interval_seconds (no DeprecationWarning, since job_id stays None), then fail later at sleep("job-123") with a TypeError. If preserving graceful deprecation for positional callers matters, consider detecting a str/UUID passed as poll_interval_seconds and routing it through the deprecation path, or at minimum note this hard break in the changelog/docstring.

🤖 Generated by the Astra agent

etserend and others added 3 commits July 22, 2026 15:16
…ard to monitor_progress

- Add timeout_seconds param (default 1h) so the polling loop exits with
  TimeoutError if the experiment never completes
- Check status.is_failed each iteration and raise RuntimeError immediately
  instead of polling forever on a failed experiment
- Detect a string passed positionally as poll_interval_seconds (legacy
  callers that used the old job_id positional param) and emit a
  DeprecationWarning instead of letting it fail later with TypeError
- Add tests for all three new paths

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
…n _make_status

type(status).is_failed = property(...) mutated the ExperimentStatusInfo
class itself, causing all subsequent instances in the same test session
to return is_failed=True — breaking test_raises_timeout_error_when_deadline_exceeded.
Switch _make_status to return a plain MagicMock with explicit attribute
values so tests are fully isolated.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
mypy correctly rejects isinstance(poll_interval_seconds, str) when the
parameter is typed as float — the check is statically unreachable.
Drop the runtime guard and document the hard break in the docstring instead,
as the reviewer suggested.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

@etserend etserend left a comment

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Both issues addressed in commit 47b4f7b:

🟠 Major (infinite loop): Added timeout_seconds=3600.0 param and status.is_failed check. The loop now raises RuntimeError on failure and TimeoutError if the experiment stalls, matching the safety behaviour of the old job_progress().

🟡 Minor (positional string): Runtime guard was rejected by mypy (isinstance(float, str) is statically unreachable). Documented the hard break in the docstring instead, as suggested.

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