fbd58fa5a6
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
EnCoach Frontend — v2
Branching Workflow
This repo is connected to the staging server via a Git post-receive hook. All deployment is automatic — but only after code review approval.
How to contribute
- Never push directly to
main— branch protection will block it. - Push your changes to your feature branch (e.g.
feature/full-frontend-v1) - Open a Pull Request on Gitea targeting
main - Request review from devops (Talal)
- Once approved and merged, the staging server rebuilds and redeploys automatically.
Environment
The .env file is not committed. It lives only on the staging server at /opt/encoach/frontend-v2/.env.
EnCoach — Adaptive Learning Platform (Frontend)
The frontend application for the EnCoach Adaptive Learning Platform, serving UTAS university students and freelance learners across IELTS, Mathematics, and IT courses.
Built with React 18, TypeScript, and Vite. Connects to an Odoo 19 backend via REST API.
Tech Stack
| Layer | Technology |
|---|---|
| Framework | React 18 + TypeScript |
| Build | Vite 5 (SWC) |
| Routing | React Router v6 |
| State / Data | TanStack Query v5, React Context |
| UI Components | shadcn/ui + Radix UI |
| Styling | Tailwind CSS 3 |
| Forms | react-hook-form + Zod validation |
| Charts | Recharts |
| Icons | Lucide React |
Architecture
src/
├── components/ # Shared UI, layouts, AI components
│ ├── ai/ # 14 AI-powered components (coaching, grading, insights)
│ └── ui/ # shadcn/ui primitives
├── contexts/ # AuthContext (JWT session management)
├── hooks/
│ ├── queries/ # TanStack Query hooks (exams, assignments, LMS, adaptive)
│ └── usePermissions # Entity-scoped permission checks
├── lib/
│ ├── api-client.ts # Centralized HTTP client with JWT + 401 interception
│ └── query-client.ts # TanStack Query configuration
├── pages/
│ ├── admin/ # Admin & LMS management (courses, batches, taxonomy, resources)
│ ├── student/ # Student portal (dashboard, courses, adaptive learning flow)
│ └── teacher/ # Teacher portal (courses, assignments, attendance, grading)
├── services/ # 21 API service modules mapped to Odoo endpoints
└── types/ # 14 TypeScript type definition files
Key Features
- 7 User Roles — Student, Teacher, Admin, Corporate, Master Corporate, Agent, Developer
- Adaptive Learning Engine — Diagnostic assessment, proficiency profiling, AI-generated learning plans, topic-level content delivery
- LMS Integration — Course management, batches, timetables, attendance, grades (OpenEduCat via API)
- Exam Portal — IELTS-style exams with AI grading, writing evaluation, speaking assessment
- 14 AI Components — Study coach, writing helper, grading assistant, risk detection, insights panel, batch optimizer, report narratives
- Entity-Scoped Permissions — Fine-grained access control with 77+ permission types
- Multi-Subject Support — IELTS (English), Mathematics, IT — all using a universal subject taxonomy
Getting Started
Prerequisites
- Node.js 18+ (or Bun)
- Odoo 19 backend running (see
docs/ODOO_BACKEND_SRS_v3.md)
Setup
# Clone the repository
git clone https://git.albousalh.com/devops/encoach_frontend_new_v1.git
cd encoach_frontend_new_v1
# Install dependencies
npm install
# Configure environment
cp .env.example .env.development
# Start development server
npm run dev
The app runs on http://localhost:8080 by default.
Environment Variables
| Variable | Description | Default |
|---|---|---|
VITE_API_BASE_URL |
Odoo backend API base URL | http://localhost:8069/api |
VITE_APP_NAME |
Application display name | EnCoach |
Scripts
| Command | Description |
|---|---|
npm run dev |
Start dev server with HMR |
npm run build |
Production build |
npm run build:dev |
Development build |
npm run preview |
Preview production build |
npm run lint |
Run ESLint |
npm run test |
Run tests |
npm run test:watch |
Run tests in watch mode |
Documentation
All project documentation is in the docs/ folder:
| Document | Purpose |
|---|---|
ENCOACH_UNIFIED_SRS.md |
Master Software Requirements Specification |
ODOO_BACKEND_SRS_v3.md |
Backend developer handoff (Odoo modules + API contract) |
ENCOACH_PRODUCT_DESCRIPTION.md |
Non-technical product overview |
UTAS_MASTER_PLAN.md |
Project timeline and milestones |
MATH_IT_ADAPTIVE_LEARNING_SRS.md |
Adaptive learning engine specification |
Backend API
The frontend expects an Odoo 19 backend exposing REST endpoints under /api/. All service modules in src/services/ map directly to the API contract defined in docs/ODOO_BACKEND_SRS_v3.md.
Authentication uses JWT tokens stored in localStorage, with automatic 401 interception and redirect to login.
License
Proprietary — EnCoach Platform. All rights reserved.