Yamen Ahmad
6ec68160c8
feat: institutional + support + training admin sections (backend + frontend)
...
Ship three fully-wired admin areas end-to-end with APIs, seeds, tests and docs.
Backend (new `encoach_lms_api` addon + existing addons):
- Institutional: academic years/terms, departments, admission registers & admissions,
courses/batches, lessons, fees (terms + student fees + invoicing with income-account
auto-wiring), gradebook (assignments/grades), library, facilities (encoach.asset),
student leave, result templates + marksheets (incl. delete-with-cascade).
- Support: `encoach.ticket` model + CRUD/assignee routes; payment records derived
from `op.student.fees.details` and `account.move`; platform settings backed by
`encoach.code` and `ir.config_parameter` (packages + grading config).
- Training: `encoach.vocab.item` + `encoach.grammar.rule` (plus progress models)
with CRUD, pagination, search/level filters, and upsert-style progress endpoints.
Odoo 19 compatibility: `_sql_constraints` replaced with `@api.constrains`;
`ValidationError`/`UserError` mapped to HTTP 400.
Frontend:
- Rewire institutional admin pages (Academic Year Manager, Admissions, Courses,
Lessons, Fees, Gradebook, Library, Facilities, Student Leave, Marksheets,
Taxonomy, Resources) to real APIs with React Query invalidation and dialogs.
- New typed services: `payments.service.ts`, `platformSettings.service.ts`,
`training.service.ts`. Updated `fees/gradebook/lms/courseware/taxonomy/
resources/student-progress/generation` services + related types.
- Rewrite `VocabularyPage`, `GrammarPage`, `PaymentRecordPage`, `SettingsPage`,
`TicketsPage` to consume live data with search/filter/progress/CRUD flows.
- New shared components: `TaxonomyCascade`, `MaterialViewer`, `teacher/TeacherLibrary`.
- Favicons/branding assets and misc. UX polish across teacher/student pages.
Tooling & QA:
- Seeders: `seed_demo.py`, `seed_demo_data.py`, `seed_institutional.py` (idempotent,
covers institutional + support + training fixtures incl. income-account wiring).
- API write-flow test suites: `test_write_flows.py` (institutional),
`test_support_flows.py` (support), `test_training_flows.py` (training),
`test_ai_full.py`. All suites pass end-to-end.
- Docs: add `docs/PROJECT_SUMMARY.md` with per-section scope, artifacts and QA.
- `.gitignore`: ignore `pgdata_bak_*/`, `frontend/.vite/`, `frontend/dist/`,
`frontend/node_modules/`.
Made-with: Cursor
2026-04-19 03:13:23 +04:00
Yamen Ahmad
ca91544acd
feat: QA fixes, new APIs (assignments, rubrics, custom exams), Generation page enhancements
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- Fix ELAI video generation (correct render endpoint, script splitting for 60s limit)
- Fix speaking script generation error handling and empty response display
- Add custom exam list API (GET /api/exam/custom/list)
- Add assignments REST API (list, create, get)
- Add rubrics REST API (list, create)
- Enhance Generation page: dynamic exam structures, auto-module selection, preview dialog, audio player
- Improve submit feedback with exam ID and status in toast notifications
- Fix ExamsListPage to show both custom exams and exam sessions
- Connect RubricsPage to backend API with fallback data
- Add Dockerfile, docker-compose.yml, requirements.txt for deployment
- Fix placement, grading, scoring, and auth controllers
- Add ErrorBoundary component for frontend resilience
- Add QA report and credentials documentation
Made-with: Cursor
2026-04-12 14:26:39 +04:00
Yamen Ahmad
6a62a43d61
feat: Generation Page AI workflows + AI/Vector modules + exam session fixes
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Generation Page (complete rebuild):
- Full production-parity exam generation wizard with 4 IELTS modules
- Reading: AI passage gen, 5 exercise types (MCQ, Fill, Write, T/F, Match)
- Listening: 4 section types, AI context gen, TTS audio gen (ElevenLabs)
- Writing: Task 1/2, AI instruction gen, word limits, marks
- Speaking: 3 parts, AI script gen, avatar video gen (7 avatars)
- Per-module config: timer, CEFR difficulty, access, approval, rubrics
- Exam submission workflow (draft/published)
Exam Structures:
- New encoach.exam.structure model + CRUD controller
- ExamStructuresPage wired to real API
AI Module (encoach_ai):
- OpenAI service, ElevenLabs TTS, AWS Polly, ELAI avatars
- AI settings model with Odoo config parameters
- 7 generation endpoints (passage, exercises, instructions, scripts, context)
Vector Module (encoach_vector):
- pgvector integration for RAG-based content search
- Embedding service with sentence-transformers
Exam Session Fixes:
- Fixed ExamSession.tsx field mapping (question_type→type, exam_title→title)
- Fixed submit payload to include attempt_id and answers
- Fixed normalizeType to handle null/undefined
Tested: 12/12 API tests passed, browser-verified with real OpenAI calls
Made-with: Cursor
2026-04-11 14:27:03 +04:00
