Files
OpenJarvis/tests/evals
1d24c64f11 fix(evals): PinchBench harness fixes — scores from 26% to 84% (#124)
* fix(evals): PinchBench harness fixes — scores from 26% to 84%

Multiple infrastructure bugs prevented PinchBench from producing
accurate scores. This commit fixes the eval harness so model scores
match the official leaderboard (Qwen3.5-397B: 26% → 84%, GPT-5.4:
5% → 58%).

Key fixes:

- EvalRunner: wrap generation in PinchBenchTaskEnv context so workspace
  files persist through grading (was deleting before scorer ran)
- EvalRunner: detect task_env datasets and force sequential processing
  (CWD changes aren't thread-safe)
- EvalRunner: fix episode_mode auto-detection to check for real
  iter_episodes() override instead of hasattr() (always True)
- Scorer: use "params" field in transcripts to match PinchBench grade()
  functions (was "arguments")
- Scorer: add None guard in _trace_to_transcript for tool_calls
- Scorer: capture final assistant text response in transcript so
  text-only tasks (like sanity check) can be graded
- Scorer: add _tool_results_to_transcript() helper for EvalRunner path
- native_openhands: add native function-calling support (tools=
  parameter) with text-based fallback, matching monitor_operative
- Tools: add Python fallbacks for file_read, file_write, shell_exec,
  calculator, think, http_request when openjarvis_rust unavailable
- Security: add Python fallback for is_sensitive_file()
- Config: add "pinchbench" to KNOWN_BENCHMARKS
- Add PinchBench eval configs for Qwen3.5-397B and GPT-5.4

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(evals): fix hybrid grading crash when grading_weights is None

The 4 tasks with grading_type=hybrid (task_10, task_13, task_16_market,
task_22) crashed because grading_weights was explicitly None in task
metadata. dict.get("key", default) returns None (not the default) when
the key exists with value None. Use `or` to coalesce None to defaults.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* fix(evals): handle MagicMock datasets in runner type checks

The iter_episodes and create_task_env type identity checks fail with
AttributeError when the dataset is a MagicMock (used in tracker tests).
Wrap in try/except to default to False for non-DatasetProvider objects.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-25 21:16:57 -07:00
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