[PR 2/7] Add local checkpointing and progress tracking#70
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gkamradt merged 3 commits intoJan 23, 2026
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Implements two-level checkpointing system: - BatchProgressManager: tracks task status across the batch (pending, in_progress, completed, failed) with worker assignment and stale task recovery - TaskCheckpointManager: tracks within-task progress (attempts per test pair) for resume capability after interruption Key features: - Persists to JSON files via storage abstraction - Schema versioning for future compatibility - Decimal-based cost tracking (not float) - retry_failed_tasks() to reset failed tasks for retry - Comprehensive tests (32 tests) including edge cases Includes demo script (scripts/demo_checkpoint.py) demonstrating checkpointing with simulated task failures and retries.
Bug fixes: - Fix race condition in claim_next_task() with retry loop - Fix cost aggregation on task failure - mark_failed() now accepts cost/token params and accumulates to batch total - Fix S3 exists() to raise StorageReadError on non-404 errors instead of silently returning False - Add run_id validation on load - mismatched run_id starts fresh Code quality: - Replace deprecated datetime.utcnow() with datetime.now(timezone.utc) throughout checkpoint module Tests: - Add test_mark_failed_accumulates_costs - Add test_run_id_mismatch_starts_fresh - Fix test_reset_stale_tasks to use timezone-aware datetime Updates demo script to pass costs to mark_failed().
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gkamradt
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Summary
Implements two-level checkpointing system:
Key features:
retry_failed_tasks()to reset failed tasks for retryDependencies
Test plan
pytest src/arc_agi_benchmarking/tests/test_checkpoint.py(32 tests)python scripts/demo_checkpoint.py