- SlotAssignment: remove family field, strategy looked up at process time
- PipelineConfig: remove family_ratios field
- _assign_slots: remove family_ratios and rng params (pure deterministic)
- _process_one_slot: use get_strategy() for sampling, generation, gates
- Add sub_pattern support (level/constraint override, instruction injection)
- Add strategy.extra_gates() check after standard gates
- load_pipeline_config: stop reading family_ratios from YAML
- Update tools/generate_questions.py seed override and dry-run log
- Update all integration tests to match new API
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add ValueError guard at the top of sample_material_v2 for level not in
{1, 2, 3}, preventing silent fallthrough to L1 sampling. Add unit test
for the new validation.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
load_benchmark used the JSON filename stem as video_id, which broke
v2-360 questions (all 180 questions got video_id='accepted_questions').
Now uses qa['video_id'] when present, falls back to filename for
Video-MME format compatibility.
1. Apply postprocess shuffle result (pp.options, pp.answer) to final
GeneratedQuestion output instead of using original candidate values.
2. Record dedup rejection in store via new mark_item_rejected() method,
preventing items from staying as 'accepted' after dedup rejects them.
3. Add .flatten() to embed_fn outputs in _is_duplicate and embed_pool
append to handle 2D (1,D) arrays from embedding implementations.
4. Validate exactly 4 options in _validate_parsed_fields (was >= 2),
matching the A-D answer constraint.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add generate-v2 subparser with --config, --store-dir, --db-path,
--seed, and --dry-run arguments to tools/generate_questions.py
- Implement _run_generate_v2 async handler: config loading, video
discovery, DI client construction, TreeIndex loading, pipeline
invocation, and result persistence
- Add scripts/generate_questions_v2.sh following build_trees.sh
conventions (source .env, conda run python path, MODE=mock support)
- Update app/question_gen/__init__.py to export full v2 public API:
run_pipeline_v2, PipelineConfig, PipelineResult, QuestionFamilySpec,
ALL_FAMILIES, CandidateQuestion, generate_one_v2, GateReport, run_gates
- Add QuestionGenStore.load_progress() for pipeline resumption
- Add integration tests for CLI help and dry-run behavior
- Update test_question_gen_api to match expanded __all__
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Extract _get_git_sha, _filter_pending_slots, and _run_heavy_sampling
from run_pipeline_v2. Reduces cyclomatic complexity from C(15) to B(6).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- PipelineConfig: YAML-driven configuration with family_ratios, retry,
concurrency, dedup threshold, and heavy sampling rate
- _assign_slots: deterministic round-robin slot assignment across videos
with per-family weighted random selection
- _process_one_slot: full retry loop (generate → postprocess → gates →
dedup) with reject-reason feedback to VLM on retry
- _heavy_check_one: blind LLM agent trial-answer for difficulty_steps
- run_pipeline_v2: orchestration with semaphore-bounded concurrency,
progress/resume support, and store integration
- is_duplicate: cosine similarity dedup against embedding pool
Tests: 11 integration tests covering slot assignment, retry behavior,
max-retries exhaustion, full pipeline flow, progress resume, heavy
sampling, and store record completeness.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Split field validation logic out of _parse_v2_response into a dedicated
_validate_parsed_fields helper. This brings _parse_v2_response from CC=11
(grade C) down to CC=3 (grade A). The extracted validator is CC=9 (grade B).
No grade-C functions remain.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- GateReport.reject_reason now returns gate.reason directly (no [name] prefix)
- verbatim short-circuit sets other 3 gates to SKIP without calling LLM
- test_high_verbatim_shortcircuits asserts zero LLM calls and SKIP verdicts
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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