Commit Graph

20 Commits

Author SHA1 Message Date
ab5e53730a Audit fixes 2026-10-03: seed keeps admin edits, plan cache, refresh limit, payment and tutor guards
- seed_content no longer undoes admin work: a SeedRecord ledger (content/seed_sync.py)
  stops deleted/renamed/re-worded content from being recreated and keeps admin-edited
  lesson text; new rows in the seed files still arrive (migration content.0010)
- plan list cache is invalidated on Plan save (receiver used a stale 'v1' key)
- token refresh per-IP cap 30/hour -> 600/hour (TOKEN_REFRESH_IP_RATE)
- a failed gateway result only changes a pending order (forged NOK no longer
  overwrites refunded/canceled)
- tutor gets the correct answer only after the student has answered
- support reply notification moved to a TicketMessage post_save signal
- global daily cap on paid AI questions (AI_GLOBAL_DAILY_MAX, default 3000)
- Bazaar verify uses only the order's SKU; bazaar orders require a SKU
- /api/health warns on the committed signing key; deploy.sh saves local commits;
  400 for bad ?unit= / ?period=; account delete keeps the referrer's Conversion
- earlier today: no stub answers outside DEBUG, ?grade= removed, logged fallbacks

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-03 16:05:27 +03:30
7307bfcadb Remove silent fallbacks found in the 2026-10-03 audit
- /api/ai/ask: the stub answer is reachable only under DEBUG or
  RAG_FORCE_MOCK. Without RAG keys on the server it used to return 200 with
  "this is a stub, set OPENAI_API_KEY" and spend the student's quota; now 503.
- /api/home: the `grade` alias is gone and sending it is a 400 instead of a
  silent fallback to the user's own grade. No client sent it.
- activate_subscription logs ERROR when the paid order's plan no longer exists
  (it silently became 30 days).
- resolve_grade_title logs instead of `except: pass`; curriculum_io no longer
  reads an `intro_text` key no file contains.
- CLAUDE.md: "No silent fallbacks" rules for future agents.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-03 10:38:42 +03:30
67cbe05609 tests: two questions at once with one credit, with real threads
The claim that the user-row lock plus SQLite IMMEDIATE stops one credit
being spent twice was untested. Two threads on separate connections now
ask at the same time: one answer, one credit spent; the same
Idempotency-Key arriving twice at once also costs one credit. Removing
transaction_mode IMMEDIATE turns both red (500, database is locked).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 13:07:08 +03:30
58c8e6d014 question packs instead of monthly/yearly plans; hearts are real
- packs (20 / 60 / 150 questions for 45,000 / 119,000 / 259,000 toman) never expire and
  give 7 / 30 / 60 days of unlimited hearts; old subscription plans stay for existing
  subscribers but are no longer on sale
- credit ledger (subscription.QuestionCredit): +N per paid pack (once per order), -1 per
  tutor question that reaches the API; the free daily questions are spent first; questions
  stopped by the server filter, cached answers and failed answers cost nothing
- unlimited hearts from packs live in HeartsPass, so buying a pack never rewrites a
  running subscription
- Message.charge records how each question was paid; GET /api/ai/quota and the ask
  responses report free-left-today and credits
- HEARTS_ENFORCED now defaults to on: zero hearts stops answering until refill or a pack

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 11:41:39 +03:30
191aba0e25 tutor quota message in Persian digits
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 06:36:03 +03:30
63cd1af6f7 public user IDs, plans priced by tutor cost, age-based tutor tone, self-service account deletion
- profile publicId ("User482917", accounts/public_id.py); admin shows and searches it
- plans API reports aiDailyQuota per plan and freeAiDailyQuota; migration 0007 sets the
  temporary prices (monthly 99,000 / yearly 990,000 toman, 5 tutor questions a day) unless
  an admin already edited the yearly plan
- tutor tone follows the learner's age (18+ gets an adult tone at any grade); notation
  still follows the grade's book; answer cache keyed by tone (prompt tutor-v12-age-tone)
- POST /api/user/delete: phone users confirm with a fresh SMS code (same checks as login,
  now shared in verify_phone_otp), guests type "حذف"; payment records are kept, demo
  accounts refused
- delete_users --skip-paid

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 06:10:17 +03:30
39247f6d53 senior's post-demo changes: parent report in the student's own account, Jalali birth date, invoices, math-only tutor, priced quotas
- remove the family app from the root (separate parent accounts, invite codes, parental
  settings); progress.0006 drops its tables, permissions and migration history, and
  Profile.parent_phone, the two family notification types and ?userId= on
  /api/progress/nodes go with it
- GET /api/user/weekly-report: last 7 days next to the 7 before (estimated minutes,
  questions, accuracy, islands, tutor questions) for the "parent report" page
- profile birthDate in Jalali (accounts/jalali.py), ages 5-99, birthYear derived from it
- GET /api/payment/invoices; orders now snapshot list price and plan title
- tutor answers only math: server pre-filter, scope rule in the prompt (tutor-v11),
  refusal marker replaced with fixed text; self-harm gets a help line instead
- streamed answers now record token usage (it was always 0)
- daily tutor quota: AI_DAILY_QUOTA_FREE (default 3) vs Plan.ai_daily_quota
- delete_users management command for wiping test accounts across every app
- docs/ai-cost-and-guardrails.md: measured cost per question and guardrail results

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-02 02:38:43 +03:30
33d8f43d74 draw a diagram in tutor answers: validated JSON from the model, rendered by the app; add the fourth companion tedi
The model ends a shape question with <diagram>{json}</diagram>; rag/services/diagram.py
splits it off before mathtext, validates it against a whitelist and stores it on
Message.diagram (ai_tutor.0006). It reaches the app in the SSE done event and in
conversation history. Prompt tutor-v6-diagrams; a hint next to the question (shape
words only) raised gpt-4.1-mini from 3/12 to 12/12 diagrams, 0/8 on arithmetic.

progress.0005 adds tedi (600 xp) to the companion catalog.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-09-28 17:44:44 +03:30
0580aec7b0 harden OTP for real SMS and close the second audit round
Kavenegar is being switched on, so every OTP request now costs credit:
- phone numbers are normalised to 09XXXXXXXXX everywhere (login, OTP,
  family invite, TEST_LOGIN_PHONES keys) and existing rows are migrated;
  non-Iranian and landline numbers are rejected before any SMS
- cooldown and a daily per-phone cap are counted in the database, so the
  three gunicorn workers no longer triple them
- a global daily OTP SMS cap (default 300) stops SMS pumping
- per-IP rates widened for CGNAT / school Wi-Fi (env-overridable)
- provider message id is logged; SMS text warns not to share the code

Second audit round: an offer no longer shortens a longer paid plan,
Zarinpal error bodies no longer 500, island XP reaches the parent report,
a non-numeric questionId no longer 500s after the answer is generated.

596 tests green.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-09-25 12:28:06 +03:30
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>
2026-09-25 06:24:13 +03:30
b32194497c let a finished island quiz open the next island, and ground ask-AI in the student's book
The frontend plays node quizzes, but a node only completed once every one of its
8-13 lessons was completed separately, so students were stuck after the first
island of each unit. POST /api/nodes/{id}/quiz/complete now completes the node
(any score; score only sets stars/xp) and returns nextNodeId.

Also closes the other backend gaps found while auditing the frontend:
- /api/ai/ask without lessonId now picks the book from the user's grade instead
  of skipping retrieval, so the "ask Pi" tab is grounded in the textbook.
- guest sessions return a refreshToken; they used to go silently 401 after 1h.
- lesson_complete throttle 10/hour -> 120/hour (a lesson here is 1-2 questions).
- progressPercent is per grade, not over all 2,617 lessons of every grade.
- a one-year plan (299,000 toman) is created by migration when no plan exists.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-09-24 02:49:02 +03:30
ae0375c26c make the API docs page answer a consumer's first questions, and fix a missing endpoint
The Swagger header was a list of features. That is what the project does, not
what a caller needs. It now opens with the three things anyone integrating
against this API asks first: how do I get a token, what does an error look like,
and when do I get rate limited -- plus the field-naming and date conventions,
and a note that the schema is the contract and clients should be generated from
it rather than written from memory. Swagger UI and Redoc both render Markdown,
so it is structured rather than one long paragraph, which also fixes how badly
the old mixed Persian/Latin line wrapped right-to-left.

Two defects surfaced while checking the rendered schema:

- /api/health was absent from the schema entirely. The trailing-slash alias was
  excluded with extend_schema(exclude=True)(HealthView), but that decorator
  mutates the class, and both routes pointed at the same class, so the canonical
  route disappeared with it. A subclass now carries the exclusion, and the
  endpoint is back, exactly once. Endpoint count is 56, not 55.
- One endpoint was tagged 'محتوا (content)' while every other content endpoint
  used 'Curriculum (content)', which split the group into two sections.

Tags are now declared with descriptions and ordered by the path a real user
takes, rather than alphabetically.

Comment pass over the codebase, keeping the substance and dropping the noise:
the "⚠️ اضافه شده" prefixes dated comments against a moment no current reader
shares; "فاز ۲ / بخش ۴" referenced a plan that no longer exists and only
repeated the app name on the next line; "فاز اول - ۴ از ۱۱ اپ" had drifted (there
are fourteen). INSTALLED_APPS is now grouped by responsibility. The
TEST_LOGIN_PHONES block in settings shrank from 29 lines to 8 now that the same
explanation lives in docs/operations.md and .env.example -- a comment beside the
code should carry what a code reader needs, not a copy of the runbook.

Checked mechanically that no comment references an identifier that no longer
exists: zero. The dated measurements in rag/services/ingest.py and
generate_questions_from_chunks.py were deliberately left alone -- a measurement
carrying the date it was taken is the useful kind.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-23 01:28:32 +03:30
fa56308a35 make the tutor grade-aware and its answers measurable
مهم‌ترین خواسته‌ی سینیور این بود که بسنجیم پاسخِ AI واقعاً یاد می‌دهد یا نه.
برای سنجیدن، اول باید پاسخ‌ها قابلِ ردیابی می‌شدند.

پرامپت‌ها پایه‌آگاه شدند: تا پیش از این «معلمِ دبستانی» برای پایه نهم هاردکد
بود، هم در تولیدِ پاسخ و هم در vision — یعنی دانش‌آموزِ نهم لحنِ ابتدایی
می‌گرفت. PROMPT_VERSION حالا روی هر پیام ذخیره می‌شود.

هر پاسخ حاشیه‌نویسی می‌شود: مدل، نسخه‌ی پرامپت، پایه، collection، مقدارِ
فیلتر، تعداد chunk، توکن، تأخیر و from_cache. فیدبک reason اختیاری گرفت تا
لایک/دیسلایک بعداً قابلِ تحلیل باشد («بشه چک کرد کدوم بهتر بوده»).

ai_feedback_report --by prompt_version نسبتِ رضایت را کنارِ مصرف/هزینه
می‌گذارد. rag_eval سوال‌های واقعی را از مسیرِ واقعی می‌پرسد، با
--retrieval-only برای اجرای ارزان.

rag/services/lesson_context.py از lessonId تنها پایه و فصل را درمی‌آورد؛
normalize_grade_title هم اختلافِ «پایه نهم» در دیتابیس با «ریاضی نهم» در
نامِ collection را می‌بندد — بدونِ آن مسیرِ gradeId بی‌سروصدا خالی برمی‌گشت.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-13 19:00:40 +03:30
ff57adbc5f throttle hot read endpoints and cap unbounded list responses
progress/views.py
  - GuestAwareReadThrottle (same guest-by-IP pattern as the other apps);
    throttle_scope='read' on UserSummaryView, StreakCalendarView,
    LeaderboardView.
notifications/views.py
  - GuestAwareReadThrottle + throttle_scope='read' on NotificationListView.
  - list capped at NOTIFICATIONS_MAX=100 newest (Meta.ordering already
    newest-first); unreadCount still counted over the full set.
notifications/tests.py
  - 150 rows -> 100 returned newest-first, unreadCount = 75.
rag/views.py
  - ChunkListView: explicit order_by('-id') before the existing [:200] cap.
ai_tutor/views.py
  - ConversationMessagesView: return the newest 200 messages in
    chronological order instead of the whole conversation.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-30 08:45:43 +03:30
5416fbb2ba real RAG answers on POST /api/ai/ask, plus SSE streaming and answer cache
When RAG is configured the endpoint retrieves lesson-scoped chunks and
generates a grounded answer; otherwise the previous deterministic stub
runs unchanged, so keyless runs and existing tests are unaffected.
Quota / idempotency / user-row lock / clean-503 behaviour is preserved on
every path.

models.py
  - Conversation.subject (CharField) and Conversation.lesson_number
    (IntegerField): retrieval metadata sent on the first ask and reused
    for the rest of the conversation.
migrations/0004_conversation_lesson_number_conversation_subject.py
  - migration for the two new fields.
serializers.py
  - AskRequestSerializer: optional subject / grade / lessonNumber to pin
    the Qdrant collection and lesson/chapter.
  - AskResponseSerializer: usedChunks (retrieved [{title, summary}]) and
    retrievalDebug (collection / filterKey / chapter-or-lesson / counts,
    emitted only under DEBUG).
views.py
  - generate_tutor_answer(): unchanged signature; RAG-configured branch
    calls rag.services generation, stub branch otherwise.
  - AskAIView.post(): resolve subject/grade/lessonNumber (falling back to
    the Conversation), check the answer cache via resolve_target(), run
    retrieve_context + generate_answer on a miss and populate the cache,
    return usedChunks (+ retrievalDebug under DEBUG). Failures still
    release the reserved quota slot and surface as 503.
  - AskAIView._streaming_response(): opt-in "stream": true returns a
    text/event-stream of chunk / done / error events; same retrieval,
    phase-3 persist, idempotency and quota accounting as the JSON path,
    and it consults the answer cache first. Non-stream JSON contract is
    untouched.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-29 02:30:33 +03:30
683bd40169 cleanup: trim bloated multi-line comments across the project 2026-08-26 03:22:20 +03:30
80298b47b1 throttling, abuse-protection & logging/monitoring pass 2026-08-23 23:44:00 +03:30
cb18c93a3e Harden auth, AI tutor, payments, and subscriptions 2026-08-22 04:42:36 +03:30
f945f960c9 Update project 2026-08-19 17:15:55 +03:30
331148037e Initial commit - clean project structure 2026-08-18 16:48:15 +03:30