Commit Graph

3 Commits

Author SHA1 Message Date
Yamen Ahmad
000969b0b9 feat(reports): replace mock Reports pages with real backend aggregates
Wire the three admin Reports pages (/admin/student-performance,
/admin/stats-corporate, /admin/record) to a new
encoach_lms_api/controllers/reports.py that aggregates from
encoach.student.attempt.

* /api/reports/student-performance: per-student band averages + CEFR,
  with entity / level / search filters.
* /api/reports/stats-corporate: by_module bar, N-month trend line,
  CEFR distribution pie, entity comparison bar, threshold + entity
  filters and meta.attempts_considered for UI.
* /api/reports/record: paginated attempt history with entity / user /
  period filters, EX-### exam codes, duration derived from start/end.
* /api/reports/filters: shared picker returning only entities /
  students that actually have attempts.

Frontend: new reports.service.ts, all three pages rewritten to hit
these endpoints; Recharts graphs now read live data, CSV export added
on Student Performance and Record.

Seeding: seed_reports.py completes any in_progress attempts and
backfills 6 months of historical attempts across 3 entities so the
trend / distribution / KPI panels have meaningful data. Idempotent.

Tests: test_reports_flows.py (25/25 PASS) covers shape, filters,
pagination. Regressions still green: Configuration 24/24, Support
29/29, Training 26/26. Browser-verified on localhost:8080 with admin
login — all 4 tabs in Stats Corporate render, Student Performance
shows real students + KPIs, Record shows 28 attempts with filter +
CSV export working.

Docs: new §20 in PROJECT_SUMMARY.md documenting scope, artifacts,
seeding, test results, and gotchas (encoach.exam.custom uses `title`
not `name`; encoach.entity requires `code`; in_progress attempts are
excluded from aggregates).

Made-with: Cursor
2026-04-19 11:28:26 +04:00
Yamen Ahmad
74c2c9f2d2 feat: Generation Page AI workflows + AI/Vector modules + exam session fixes
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
Yamen Ahmad
11a7265460 feat(v3): restructure project + add complete frontend
- Restructure: move backend from new_project/ to backend/
- Add full React/TypeScript frontend (37 pages, 17 services, 16 type defs, 11 query hooks)
- Add docs/ with SRS specs, user stories, and workflow documentation
- Update .gitignore for new directory layout

Workflows implemented:
  WF1 User Signup, WF2 Placement Test, WF3 Exam Configuration,
  WF4 General English Exam, WF5 Course Generation,
  WF6 Entity Student Onboarding, AI Course Generation,
  Adaptive Learning Engine UI, White-Label Branding, Score Release

Made-with: Cursor
2026-04-10 17:26:42 +04:00