Both books were already complete on Qdrant and answering /api/ai/ask, but
had no Grade/Unit/Node/Lesson rows, so none of their problems could ever
reach a quiz. The owner made the product call, so the curriculum is now
seeded from the books' own tables of contents (free, no API credit), and
559 four-option questions were authored from the verified chunks.
Coverage: all 21 nodes of grade 11 hold a full four-question quiz, and 10
of 12 in grade 12. The two that do not are both in فصل ۵: کاربردهای مشتق
and are short only because the weekly model limit landed mid-run — their
(lesson, problem) pairs are already exported and waiting.
Three supporting changes:
- generate_questions_from_chunks grows --export DIR, which writes the
(lesson, verified problem) pairs as JSON batches and makes no paid call
at all. The subagent route was the documented way to author questions
but had no tool behind it; now it does, and it emits the same PROMPT
the paid path uses so the two branches cannot drift apart in quality.
- _targets now skips as many chunks as a lesson already has questions
for. Re-running with a higher --per-lesson used to hand back the very
same chunk, producing a near-duplicate question — silently, because the
prompt gets rewritten each time, so neither the run nor question_io's
validation could catch it.
- GRADE_STYLE gains یازدهم and دوازدهم. Without them both grades fell to
the grey fallback; they are deliberately cool colours, separate from the
six general grades, because حسابان is a ریاضی‌فیزیک-only book.
458 tests pass.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
تا پیش از این کلِ محتوای دیتابیس ردیف‌های [DEMO] و [SEED] بود — دانش‌آموزِ
پایه نهم در دمو «جمع تا ۱۰» می‌دید. سینیور «یک بیسیکِ کامل با دیتای واقعی»
خواسته بود.
seed_curriculum_from_textbook (رایگان، هیچ فراخوانیِ پولی ندارد):
Grade ← پایه‌ی کتاب
Unit ← فصلِ کتاب
Node ← درسِ داخلِ فصل، از فهرستِ خودِ کتاب
Lesson ← نوعِ مسئله‌ی استخراج‌شده در بازه‌ی صفحه‌ی همان درس
intro_text مستقیم از generalSolution کتاب می‌آید.
generate_questions_from_chunks سوالِ چهارگزینه‌ای با گزینه‌های انحرافیِ
باورپذیر می‌سازد (هزینه‌دار، اعتبارسنجیِ سخت‌گیرانه). سوال اینجا جدا شد
چون ساختنِ گزینه‌ی انحرافیِ درست به مدل نیاز دارد.
purge_demo_data ردیف‌های [SEED]/[DEMO] را گزارش و — فقط با --apply — پاک
می‌کند؛ بدونِ آن این ردیف‌ها در دمو داخلِ API دیده می‌شوند.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
