Commit Graph

11 Commits

Author SHA1 Message Date
Yamen Ahmad
35ccc0dfb2 feat(platform): ship AI fallback stack and entity-scoped course planning
Unifies the new LangGraph-driven course-plan/media flow with robust provider fallbacks, admin AI provider settings, editable book-style materials, and strict entity isolation across LMS/course-plan APIs. Adds admin-only entity membership management in the Entities UI so users can switch linked entities directly from the platform.

Made-with: Cursor
2026-04-26 02:34:52 +04:00
Yamen Ahmad
096b042daf feat(course-plan): RAG sources + multi-modal media + assignments + student view
Builds the §24 product on top of the LangGraph runtime from §22:

Phase A (Sources / RAG)
  - encoach.course.plan.source model (file | url | text)
  - SourceIndexer extracts PDF (pypdf), DOCX (python-docx), HTML, plain
    text and embeds chunks via the existing pgvector pipeline scoped to
    plan_id, so resources.search only returns the plan's own corpus
  - Endpoints: list/create/upload/reindex/delete + plan-scoped retrieval

Phase B (Deliverables)
  - services.deliverables.compute_deliverables walks the plan, derives
    {planned, generated, ready} per week from material + media state
  - GET /api/ai/course-plan/<id>/deliverables drives the new wizard
    preview step and the live progress strip on the detail page

Phase C (Multi-modal media)
  - encoach.course.plan.media model + MediaService:
    audio: AWS Polly (default) or ElevenLabs
    image: OpenAI DALL-E 3, capped per plan via system parameter
    video: local ffmpeg subprocess (image + audio -> MP4 1280x720)
  - Three new agent tools (media.synthesize_audio / generate_image /
    compose_video), wired into course_week_materials and a new
    course_media_director agent
  - Endpoints per material + week-level batch generator

Phase D (Assignments)
  - encoach.course.plan.assignment supports mode='batch' (op.batch) or
    mode='students' (res.users), with due_date + message + state
  - REST endpoints to list / create / delete assignments

Phase E (Student view)
  - /api/student/course-plans + /api/student/course-plans/<id>
    enforce visibility via assignment.expand_user_ids()
  - New /student/course-plans list + read-only drilldown rendering
    audio/image/video tiles from /web/content/<attachment_id>

Cross-cutting
  - encoach.ai.tool.category: + media (so the new tools register)
  - encoach.embedding gains a plan_id filter for plan-scoped RAG
  - Wizard adds Sources + Multimedia steps; AdminCoursePlanDetail
    rewritten with DeliverablesStrip + SourcesCard + AssignmentsCard +
    per-material MediaDrawer
  - ~280 new EN + AR i18n keys (full RTL coverage)
  - smoke_course_plan.py exercises every phase via odoo-bin shell;
    last run: PASS A/B/D/E + DALL-E 3 image (753 KB), Polly audio
    fails cleanly when AWS creds aren't configured (expected)

Documentation: §24 added to docs/PROJECT_SUMMARY.md with phase-by-phase
artefact list, endpoints, smoke test, ops notes, and gotchas.

Made-with: Cursor
2026-04-25 17:13:01 +04:00
Yamen Ahmad
e2aa8031ff feat(ai): LangGraph as core runtime + AI Agents/Tools console + full-demo seed
Core AI runtime
- New encoach.ai.agent + encoach.ai.tool models with M2M tool binding,
  graph topology (simple|plan_review_revise|rag|react), model + fallback,
  temperature, max_tokens, response_format, max_revisions, quality checks
  and system prompt fields.
- services/agent_runtime.py compiles a langgraph.StateGraph per agent
  and caches the build per (key, write_date). Emits a structured trace
  (output, tool_calls, retrieval_hits, revisions, quality_issues,
  ms, model_used, fallback_used) and auto-falls-back on rate-limit/5xx.
- services/agent_tools.py registers 11 tool handlers wrapping existing
  services: resources.search, rubric.fetch, outcomes.fetch,
  student.profile, quality.cefr_check, quality.ai_detect,
  quality.content_gate, course_plan.save (mutates),
  course_plan.save_materials (mutates), scoring.grade_writing,
  scoring.grade_speaking.
- 7 default agents seeded via data/agents_defaults.xml: course_planner,
  course_week_materials, exam_generator, exercise_generator, lms_tutor,
  writing_grader, speaking_grader.
- Feature flag encoach_ai.use_langgraph_runtime (default True).
- encoach_ai_course pipeline now routes through AgentRuntime when on,
  legacy SDK path kept as fallback.

Admin UI
- /admin/ai/prompts is now a tabbed Agents | Tools | Prompts console.
- AIAgentsPanel: card grid + config dialog (model/temp/graph/tools/
  system prompt) + built-in Test Runner showing live trace.
- AIToolsPanel: registry table with category badges, mutates flag,
  schema viewer, edit dialog.
- New /api/ai/agents* and /api/ai/tools* controller (list/get/update/
  test, list-tools, toggle-tool).
- Sidebar label nav.aiPrompts -> nav.aiAgents (AI Agents and Tools).
- EN + AR (RTL) translations for ~80 new keys.

Smart Wizard pages
- /admin/quick-setup hub + CourseWizard, CoursePlanWizard,
  RubricWizard, ExamStructureWizard step-by-step flows.
- /admin/course-plans list + detail pages.
- /teacher/quick-setup mirror.

Full demo seed + 8-role E2E
- seed_full_demo.py adds the 5 missing user_types (approver, corporate,
  mastercorporate, agent, developer), activates a 2-stage exam-approval
  workflow with one pending request, creates a GE1-aligned 12-week B1
  course plan with 6 detailed Week-1 materials (reading 400w, writing,
  listening 4-min script, speaking, grammar present simple vs continuous,
  vocabulary), and inserts sample ai.log + ai.feedback rows.
- reset_demo_passwords.py forces every demo login back to canonical
  passwords (admin123/teacher123/student123/approver123/corporate123/
  master123/agent123/dev123).
- e2e_full_scenario.py: 46/46 PASS read-only API smoke across all
  8 roles, including a live LangGraph round-trip on writing_grader.
- e2e_approval_chain.py: 6/6 PASS mutation E2E - approver approves
  stage 1, admin approves stage 2, linked encoach.exam.custom flips
  to status=published, verified via psql.

Docs
- docs/PROJECT_SUMMARY.md updated to 2026-04-25: new Latest events
  bullets, refreshed credentials table, full sections 22 (LangGraph
  runtime) and 23 (full demo seed + 8-role E2E).
- docs/ENCOACH_FULL_DEMO_QA_REPORT.md added with credentials,
  per-endpoint PASS/FAIL, mutation chain proof, LangGraph live output.
- backend/GE1 Course Outline_ Fall AY25-26.pdf vendored as the
  reference outline the GE1 plan/materials are aligned to.

Dependencies
- requirements.txt: langgraph>=0.2.0, langchain-core>=0.3.0.
- encoach_ai/__manifest__.py: external_dependencies updated.

Made-with: Cursor
2026-04-25 03:14:22 +04:00
Yamen Ahmad
e1f059069f feat(i18n,rtl): full Arabic localization + RTL sweep across all layouts
Frontend
- i18n: install tailwindcss-rtl, Cairo font, RTL-aware direction in index.css.
- Language toggle: localize aria-label / menu label, persist choice, update
  document dir synchronously.
- Sidebar: add `side` prop so the drawer pins to the right in RTL; wire up
  AdminLmsLayout, RoleLayout (student/teacher) and AppSidebar to pass
  side = i18n.dir() === 'rtl' ? 'right' : 'left'.
- AdminLmsLayout: convert every nav item from hard-coded title to titleKey,
  translate group labels (incl. the collapsible Training), breadcrumbs,
  user menu (Profile / Settings / Logout), help button and toggle aria
  labels; replace physical mr-/right- utilities with logical me-/end-.
- AI components (AiTipBanner, AiInsightsPanel, AiAlertBanner, AiSearchBar,
  AiAssistantDrawer): apply dir="auto" at the container level, localize
  titles, loading / error / empty states.
- Dashboards (admin / student / teacher): wrap numeric values in <bdi>,
  localize dates via ar-EG, fix flex direction for KPI and assignment cards.
- UI primitives (breadcrumb, calendar, carousel, dropdown-menu, menubar,
  context-menu, pagination, sidebar): flip chevrons in RTL via a scoped
  CSS rule, swap pl-/pr-/ml-/mr- for ps-/pe-/ms-/me-.
- Add logical-direction helpers and bidirectional isolation classes.

Locales
- Expand en.ts and ar.ts with full `nav`, `sidebarGroup`, `breadcrumb`,
  `userMenu`, `chrome`, `ai`, and dashboard key sets; keep key parity.

API client
- `api-client.ts` reads the active language from localStorage/i18n and sends
  `Accept-Language` on every request so the backend can localize AI output.

Backend (encoach_ai)
- openai_service: add _LANGUAGE_NAMES, normalize_language, language-aware
  system prompt injection for every OpenAI call.
- coach_service + controllers (coach_controller, ai_controller): thread
  the requested language from headers / user locale down to OpenAIService.
- ai_feedback: fix latent registry error by pointing course_id at op.course
  instead of the non-existent encoach.course.

Other
- .gitignore: ignore runtime odoo logs and local caches.

Made-with: Cursor
2026-04-19 18:13:16 +04:00
Yamen Ahmad
e70a2854f4 feat(frontend): Phase 2/3 hardening release
Roadmap P0
- Ship /logo.svg fallback and rewire asset references (superseded later by
  the project-manager PNG in a separate commit).

Roadmap P1
- Response envelope alignment ({items,total,page,size}) across services
  and query hooks.
- Approval/ticket UX updates tied to the new backend rollback semantics.

Roadmap P2
- React.lazy + Vite manualChunks to split vendor-radix/charts/icons/forms
  from the main bundle and cut initial JS.
- Fix the 181 tsc errors (PaginationParams class + per-service generics).
- Auto-refresh flow for JWT refresh tokens wired into api-client.ts.

Roadmap P3
- i18n: i18next + language detector, en/ar locales, RTL auto-switch,
  LanguageToggle component in RoleLayout and AdminLmsLayout.
- GDPR: PrivacyCenter page for data export and right-to-erasure, backed
  by gdpr.service.ts; logout via AuthContext after erasure.
- Human-in-the-loop exam review UI: admin ExamReviewQueue + ExamReviewDetail
  pages, useExamReview hooks, exam-review.service.ts.
- AI quality loop: AIPromptEditor (versioning + render preview),
  AIFeedbackButtons for students, AIFeedbackTriage admin page, dedicated
  services, hooks, and types.
- Dark mode: ThemeProvider + ThemeToggle + chart color tokens.
- Accessibility: DialogDescription on every DialogContent; alert-dialog
  and sheet updates.
- Retire dead pages: ExamPage marketing, Index, ProfilePage import.
- Playwright e2e scaffolding: playwright.config.ts + e2e/login.spec.ts
  smoke tests, npm scripts test:e2e / test:e2e:install.

Made-with: Cursor
2026-04-19 14:16:32 +04:00
Yamen Ahmad
47d09a3ce5 chore(branding): adopt project-manager EnCoach logo across login and sidebars
- Replace public/logo-icon.png with the approved EnCoach wordmark
  (icon + "EnCoach" + tagline "Unlock your potential with AI powered platform").
- Login page shows the full branded logo at h-36 and drops the duplicate
  text heading since the wordmark is now baked into the asset.
- Student/Teacher/Admin sidebars show a small rounded icon when collapsed
  and the full wordmark at h-14 when expanded, removing the previous
  duplicated "EnCoach" text span.
- og:image in index.html already points at /logo-icon.png so social cards
  pick up the new branding automatically.

Made-with: Cursor
2026-04-19 14:15:41 +04:00
Yamen Ahmad
98b9837a54 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
50f58dc995 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
82ec3debcc feat: QA fixes, new APIs (assignments, rubrics, custom exams), Generation page enhancements
- 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
b02ee8b6b7 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
f1c4953a63 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