Commit Graph

4 Commits

Author SHA1 Message Date
Yamen Ahmad
96f419d653 fix(config): align Configuration pages with platform logic
Audit of the admin Configuration section (FAQ Manager, Notification Rules,
Approval Config) surfaced three contract mismatches and one missing schema.

FAQ
  * Backend `encoach.faq.category.audience` / `encoach.faq.item.audience`
    rejected the `both` and `entity` values emitted by the FAQ Manager
    UI. Widened the Selection so the UI's full vocabulary round-trips.
  * FAQ item `video_url` was already accepted by the UI but silently
    dropped by the controller; now persisted via a new `video_url`
    field on `encoach.faq.item` and serialized on list/get responses.

Notification Rules
  * Added `days_before`, `frequency`, `channel`, `entity_id` to
    `encoach.notification.rule`. These are the exact fields the admin
    form collects; prior to this change they were serialized into the
    JSON body, ignored by the controller, and omitted from responses,
    leaving the Active switch permanently off and the table columns
    blank.
  * Controller now translates `active` <-> `is_active` both ways so the
    new frontend contract and legacy callers coexist. Missing required
    fields return HTTP 400 instead of 500.

Approval Workflows
  * The controller had been hand-rolling raw SQL against three tables
    (`encoach_approval_workflow`, `_stage`, `_request`) that no Odoo
    model declared, so the tables never existed. List() was guarded and
    returned empty; create() would 500 with "relation does not exist".
  * Introduced real ORM models in `encoach_exam_template/models/approval.py`
    plus access rights, which auto-provision the tables on -u.
  * Rewrote the controller to use ORM, added PATCH, and emitted both
    `items` and `results` in the list envelope so the frontend's
    PaginatedResponse reader and legacy callers both work. Step
    payloads now carry `max_days`, `auto_escalate`, and
    `notification_email` end to end.
  * Frontend `approvalsService` and `ApprovalWorkflowConfig` updated to
    send the full stage shape + `allow_bypass`, tolerate both envelope
    keys, and validate at least one approver before submit.

Schema delta applied via `./run.sh -u encoach_exam_template,encoach_lms_api`.
Verified with new `test_config_flows.py`: 24/24 passing. Regression runs
on `test_support_flows.py` (29/29) and `test_training_flows.py` (26/26)
remain green.

Made-with: Cursor
2026-04-19 10:58:43 +04:00
Yamen Ahmad
74d83af57f feat: complete exam lifecycle — AI generation, submission, student session, and results
- Backend: AI generation fallbacks when OpenAI not configured, full exam
  submission saving all params (difficulty, rubric, entity, grading system,
  approval workflow) and creating linked question records per section
- Backend: new exam session controller with get_session, autosave, submit,
  status, and results endpoints; student attempt/answer/score models
- Backend: new controllers for entities, approval workflows, exam schedules
- Frontend: exam session split-layout with passage panel, question types
  (MCQ, T/F/NG, gap-fill, writing, speaking), timer, and review dialog
- Frontend: results page with percentage score, per-answer breakdown table
- Frontend: generation page dynamic dropdowns, full payload submission
- Frontend: updated types for ExamSessionSection, ExamQuestion options

Made-with: Cursor
2026-04-16 16:53:09 +04:00
Yamen Ahmad
0c8443256d feat(generation): rebuild Generation Page with full AI workflows
- Rebuild GenerationPage.tsx from static placeholder to production-parity
  exam generation wizard with all 4 IELTS modules (Reading, Listening,
  Writing, Speaking) plus Level and Industry
- Add per-module config: timer, CEFR difficulty tags, access type,
  entities, approval workflow, rubric, grading system, shuffling
- Reading: AI passage generation, 5 exercise types (MCQ, Fill Blanks,
  Write Blanks, True/False, Paragraph Match), categories/types
- Listening: 4 section types, AI context generation, TTS audio generation
- Writing: Task 1/2, AI instruction generation, word limits, marks
- Speaking: 3 parts, AI script generation, avatar video generation
  with 7 avatar options
- Wire ExamStructuresPage to real CRUD API (list/create/delete)
- Add backend exam_structure model and controller (/api/exam-structures)
- Enhance ai_controller with 5 specialized generation handlers
  (passage, exercises, writing instructions, speaking script,
  listening context)
- Add POST /api/exam/generation/submit for exam creation workflow
- Fix media.service avatar video endpoint alignment
- All 12 API tests passed, browser-verified with real OpenAI calls

Made-with: Cursor
2026-04-11 14:21:40 +04:00
Yamen Ahmad
907a5c0e92 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