2 Commits

Author	SHA1	Message	Date
iomgaa	6d6eb8e3a3	refactor(question_gen): extract _validate_parsed_fields to reduce CC ... 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>	2026-07-11 23:43:35 -04:00
iomgaa	cf51d2de9d	feat(question_gen): add v2 generator with per-family prompt templates ... Implement generator_v2.py with: - CandidateQuestion dataclass (canonical location) - _load_prompt_template: loads per-family .md from store/prompts/ - _build_v2_prompt: constructs system+user messages with material context - _parse_v2_response: JSON extraction, json_repair, field validation - generate_one_v2: async VLM call orchestration with reject_reason support Add 5 family-specific prompt templates: - retrieval.md: factual recall from visible content - reasoning.md: multi-hop inference across segments - enumeration.md: counting/listing entities and actions - visual.md: visual details requiring frame observation - spatial.md: spatial relationships between objects/people Tests: 11 unit tests covering prompt build, parse, and e2e generation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-07-11 23:41:36 -04:00