Zareian
42783f9ba4
Tutor (prompt tutor-v3-stepwise-plain): plain text instead of LaTeX/markdown, with rag/services/mathtext.py converting whatever still slips through; full step-by-step solutions with a check before the final answer; three tones by grade; the last 6 messages of the conversation go to the model and follow-ups are no longer served from another user's cache; book solutions the checker disputes are kept out of the context; a questionId gives the tutor the practice question and the student's wrong answer. /api/health reports when the AI credit runs out. rag_model_benchmark compares chat models on verified book problems (run on the server; credit ran out mid-run). Map: only lessons that have questions count toward finishing an island, lessonIds[0] / nextLessonId is always the next lesson to play, and a finished island stays finished. The Seyar characters (sigma/delta/pi) are seeded. Audit fixes, each reproduced before fixing: - the plan is stored on the order, so paying a monthly order after starting a yearly checkout no longer grants a year - opening checkout no longer demotes an active subscription; renewals extend from the current expiry; expired subscriptions are not reported active - one discount code per order and only before the gateway; a 100% code completes the purchase; lost Zarinpal confirmations are re-verified - the unused /api/payment/webhook "mark paid" endpoint is removed - XP counts only answers recorded on the server - 6-digit OTP, each code dies after 5 wrong guesses; POST /api/auth/logout - a guest who signs up keeps their account and progress (test phones excluded) - affiliate commission on the first real payment; guests excluded - parents with several children no longer get a 500 - SQLite runs transactions IMMEDIATE, since it ignores select_for_update - admin login is rate-limited; display names drop phone numbers and links; userQuestion is capped at 2000 characters - server-side heart enforcement exists behind HEARTS_ENFORCED (off until the frontend handles 403 no_hearts) Not done on purpose: rotating the server's secret key and moving to Postgres. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
66 lines
2.7 KiB
Python
66 lines
2.7 KiB
Python
"""
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کشِ پاسخِ RAG برای سوالِ عیناً تکراری.
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کلید = هشِ (collection + مقدارِ فیلترِ درس/فصل + پایه + متنِ نرمال‌شده‌ی سوال).
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فقط مرحله‌ی گران (embedding + جستجوی Qdrant + تولیدِ GPT) رو رد می‌کنه؛
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کوتای روزانه، idempotency و ثبتِ Message همچنان در view اجرا می‌شن.
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"""
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import hashlib
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from django.conf import settings
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from django.core.cache import cache
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# v2: پایه هم واردِ کلید شد (پایین را ببینید). نسخه‌ی prefix عمداً جلو رفت تا
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# کلیدهای v1 که پایه در آن‌ها نبود، خودبه‌خود بی‌اثر شوند.
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_PREFIX = 'rag:ans:v2:'
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def ttl() -> int:
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return int(getattr(settings, 'RAG_ANSWER_CACHE_TTL', 0))
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def enabled() -> bool:
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return ttl() > 0
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def _norm(text: str) -> str:
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return ' '.join((text or '').split()).strip().lower()
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def make_key(collection, filter_value, question: str, grade_title: str = '') -> str:
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"""
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⚠️ `grade_title` جزءِ کلید است چون تولیدِ پاسخ از این به بعد پایه‌آگاه است
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(لحن و سطحِ توضیح از پایه می‌آید). بدونِ آن، وقتی subject/فصل مشخص نیست
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collection و filter هر دو None می‌شوند و کلید فقط به متنِ سوال می‌ماند —
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یعنی پاسخی که برای دانش‌آموزِ نهم ساخته شده عیناً به دانش‌آموزِ سوم
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برمی‌گشت.
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"""
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from .generation import PROMPT_VERSION
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# نسخه‌ی پرامپت هم جزءِ کلید است: بعد از عوض شدنِ پرامپت، جوابِ نسخه‌ی
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# قبلی (مثلاً با LaTeX) نباید تا پایانِ TTL دوباره سرو شود.
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raw = (f'{PROMPT_VERSION}|{collection}|{filter_value}|'
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f'{(grade_title or "").strip()}|{_norm(question)}')
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return _PREFIX + hashlib.sha1(raw.encode('utf-8')).hexdigest()
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def cacheable(history) -> bool:
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"""
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فقط پیامِ اولِ هر گفتگو کش می‌شود. «نفهمیدم» یا «یه مثال دیگه بزن» معنایش
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به گفتگوی قبلی بسته است؛ پیش‌تر کلید فقط متنِ سوال بود و هر «نفهمیدم» در
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همان کتاب، جوابِ کش‌شده‌ی گفتگوی یک نفرِ دیگر را می‌گرفت.
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"""
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return not history
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def get(key: str) -> dict | None:
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if not enabled():
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return None
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return cache.get(key)
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def set(key: str, payload: dict) -> None: # noqa: A003
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if not enabled():
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return
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cache.set(key, payload, ttl())
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