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Deploy to Staging / Deploy backend + frontend to staging (push) Failing after 14s
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
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.