50df7bd371ae9a244590bbd2760f2bb23dc28933
2 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
| 42783f9ba4 |
tutor answers step by step in plain text, islands finish, and the audit's money and login holes are closed
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> |
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| ac93e17305 |
new app — cleaned-up RAG pipeline (Qdrant retrieval + GPT), ported from Rag_backend
Self-contained app; wired into settings/urls in the next commit. Data
stays in the parallel team's live Qdrant — nothing is copied into our DB.
apps.py
- RagConfig.
models.py
- LessonChunk: DB-of-record for one summarized lesson chunk
(original_text + summary + embedding_vector) mirrored as a single
Qdrant point; loose lesson_id/grade_id ints, no cross-app FK.
LessonChunkImage for future multimodal lessons.
migrations/0001_initial.py
- initial tables for the two models.
services/clients.py
- lazy, lru_cache'd OpenAI + Qdrant clients (Rag_backend builds them at
import time and crashes without keys). RagNotConfigured raised when a
key/lib is missing; Qdrant client uses check_compatibility=False for
the 1.19-client / 1.17-server minor version gap.
services/config.py
- rag_is_configured(), collection-name template, grade-title resolution
(RAG_GRADE_TITLE_OVERRIDES -> content.Grade.title), retrieval top-k.
services/known_collections.py
- exact live Qdrant catalog: 6 collection names, math chapter-number ->
exact "فصل N: ..." string tables per (subject, grade), and the
علوم/اجتماعی lesson-number -> title maps. filter_key_for_subject()
picks `chapter` for math, `lesson_number` otherwise;
resolve_math_chapter() maps a plain chapter number (Persian or Latin
digits) to the stored string.
services/embedding.py
- embed_text() pinned to OPENAI_EMBEDDING_MODEL (text-embedding-3-small,
1536d) so vectors match the other team's existing collections.
services/chunking.py
- split_text_into_chunks(), summarize_chunk() (gpt-4o-mini, JSON out);
plain exceptions instead of ninja HttpError.
services/qdrant_store.py
- ensure_collection(), upsert_points(), search(): the lesson filter
matches the value both as str and native, since Qdrant stores
lesson_number as int and chapter as string.
services/retrieval.py
- resolve_target() -> (collection, filter_key, filter_value), reused by
the cache key and debug block.
- retrieve_context() -> (chunks, meta): embed -> Qdrant search scoped to
one lesson/chapter -> top-k. Math payloads (no `summary`) fall back to
generalSolution/problem/solution; a 404 collection returns empty.
services/generation.py
- generate_answer() and stream_answer() (token iterator for SSE);
context-grounded Persian prompt that explains from retrieved text
rather than refusing.
services/pdf.py
- textbook PDF -> page images -> gpt-4o vision problem-type extraction
(adapted from Rag_backend mathapp); returns dicts, no on-disk JSON.
pymupdf/pdf2image optional — missing libs raise RagNotConfigured.
services/ingest.py
- ingest_text() / ingest_pdf(): chunk -> summarize -> embed -> persist
LessonChunk + upsert Qdrant, in one transaction.
services/answer_cache.py
- short-TTL cache of the final answer keyed by
sha1(collection | filter_value | normalized-question).
services/tutor.py
- thin answer_question() (retrieve -> generate) for direct callers.
serializers.py, urls.py, views.py
- POST /api/rag/ingest/text, POST /api/rag/ingest/pdf (HasInternalServiceKey,
throttle scope rag_ingest), GET /api/rag/chunks review list.
RagProviderUnavailable -> clean 503.
admin.py
- LessonChunk admin with an inline for its images.
management/commands/rag_catalog.py
- read-only live Qdrant listing (--values, --json); never writes.
tests.py
- mocked-client tests: ask-with-retrieval, ingest, SSE stream, answer
cache, and rag_is_configured() gating.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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