e5e31f6eba
Two-phase extraction: - Detects end-of-document answer key format by scanning last 40 pages for "Preferred Response:" (PREP 2013, 2014 etc use this vs PREP 2012 inline "Correct Answer:") - Phase 1: Extract questions with item_number field, allow null correct_answer - Phase 2: Extract answer key (item_number → letter) from last 40% of document - Phase 3: Match questions to answers by item number, resolve letter → full option text - Unmatched questions go to skipped list with reason shown in Jobs page - Standard inline format (PREP 2012) unchanged Updated extraction prompts: - item_number field added to all extractions for cross-referencing - Image content rule: "Item CXXXB" figure references must NOT be treated as new questions - Recognises both "Correct Answer: X" and "Preferred Response: X" - ANSWER_KEY_PROMPT: dedicated prompt for extracting answer key tables Quiz navigation scroll: - Clicking Next, Previous, or question number now scrolls the question card into view (smooth scroll to start of question-card div) Code: extract_questions_no_answers(), extract_answer_key(), _call_model() added to ai_service.py Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> |
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| alembic | ||
| app | ||
| tests | ||
| .dockerignore | ||
| .env.example | ||
| alembic.ini | ||
| Dockerfile | ||
| manage.py | ||
| requirements.txt | ||