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LMS — eBay Consultant Website

LMS is a web application to support an eBay consulting business. It provides a professional presentation website, client onboarding and management flows, and tooling to manage content, services, and lead capture. This repository contains the source code for the site, including frontend, backend, design assets, and deployment configuration.

Status: Work in progress — ongoing development across frontend and backend.

Table of contents

  • Project overview
  • Goals & features
  • Tech stack
  • Architecture & folder structure
  • Local development
  • Environment variables
  • Testing
  • Deployment
  • Contributing
  • License
  • Contact

Project overview

This project aims to build a maintainable, production-ready website for an eBay consulting business. The website will include:

  • Marketing pages (home, services, about, contact)
  • Lead capture forms, newsletters, and contact workflows
  • Client onboarding dashboard (admin area)
  • Blog or resources section
  • Integrations (email provider, analytics, payment gateway optional)
  • Responsive and accessible frontend

Goals & features

Short-term:

  • Create a modern, responsive marketing site
  • Add contact and lead capture
  • Implement basic CMS or admin for content editing

Mid-term:

  • Build client dashboard for onboarding, document sharing, and status tracking
  • Integrate email automation and analytics
  • Add basic billing/invoicing features (optional)

Long-term:

  • Full-featured client portal with role-based access
  • Multi-tenant support (if needed)
  • Performance, security hardening, and monitoring

Tech stack (suggested)

  • Frontend: React (Vite or Next.js), TypeScript, Tailwind CSS (or Chakra/Bootstrap)
  • Backend: Node.js with Express or a framework (NestJS, Fastify) or Python (Django/Flask/FastAPI)
  • Database: PostgreSQL (or MySQL) for relational data; Redis for caching
  • Auth: JWT or sessions; OAuth for admin/3rd-party logins
  • Storage: S3-compatible object storage for assets
  • Deployment: Docker, GitHub Actions, and a cloud provider (Vercel/Netlify for frontend, DigitalOcean/AWS/GCP for backend)
  • Email: Sendgrid, Mailgun, or SMTP provider
  • Analytics: Google Analytics / Plausible
  • Testing: Vitest / Jest, React Testing Library, Supertest (backend)

Adjust the stack to match your team preferences.

Architecture & folder structure

The repository is organized to keep frontend and backend code separate with clear boundaries.

Recommended folder layout:

/ (repo root)
├─ .github/                # CI workflows, PR templates
├─ .vscode/                # editor config (optional)
├─ nginx/                  # reverse-proxy config (optional)
├─ docker/                 # dockerfiles and compose configs
├─ infra/                  # Infrastructure-as-code (Terraform, Pulumi)
├─ packages/               # shared packages (UI components, utils) — monorepo style (optional)
├─ frontend/               # frontend app (React / Next.js / Vite)
│  ├─ public/
│  ├─ src/
│  │  ├─ assets/
│  │  ├─ components/
│  │  ├─ pages/            # or routes/ for React Router / Next.js pages
│  │  ├─ services/         # API clients
│  │  ├─ hooks/
│  │  └─ styles/
│  ├─ .env.example
│  └─ package.json
├─ backend/                # backend API (Node / Nest / FastAPI / Django)
│  ├─ src/
│  │  ├─ controllers/      # HTTP handlers
│  │  ├─ services/         # business logic
│  │  ├─ models/           # DB models / ORM
│  │  ├─ routes/
│  │  ├─ middlewares/
│  │  └─ utils/
│  ├─ migrations/
│  ├─ seeds/
│  ├─ .env.example
│  └─ package.json         # or pyproject.toml/requirements.txt for Python
├─ design/                 # Figma exports, mockups, images, brand assets
├─ docs/                   # design decisions, API docs, runbooks
├─ tests/                  # e2e tests (Cypress / Playwright)
├─ README.md
└─ LICENSE

Notes:

  • Monorepo structure with packages/ is optional and useful for sharing UI components or types between frontend and backend.
  • Keep infra separate from app code to allow independent deployment.

API & data model (high-level)

  • Auth:
    • POST /api/auth/login
    • POST /api/auth/register
    • POST /api/auth/forgot-password
  • Leads:
    • POST /api/leads
    • GET /api/leads/:id
  • Clients:
    • GET /api/clients
    • POST /api/clients
  • Content:
    • GET /api/pages/:slug
    • GET /api/blog
    • POST /api/blog (admin)
  • Admin APIs protected by role-based auth.

Document the full API in docs/openapi.yaml or use tools like Swagger.

Local development

These are example commands. Update to match your chosen stack.

  1. Clone repository
git clone https://github.com/mirkashi/LMS.git
cd LMS
  1. Frontend
cd frontend
cp .env.example .env
npm install
npm run dev        # or `pnpm` / `yarn`
  1. Backend
cd backend
cp .env.example .env
npm install        # or pip install -r requirements.txt
npm run dev        # or `uvicorn app.main:app --reload`
  1. Database (Postgres) example using Docker Compose
docker compose -f docker/docker-compose.dev.yml up -d
# run migrations
cd backend
npm run migrate    # or `alembic upgrade head` / `prisma migrate deploy`

Environment variables

Add a .env.example file in both frontend and backend describing required vars. Example backend .env keys:

  • DATABASE_URL=postgres://user:pass@localhost:5432/lms
  • JWT_SECRET=replace_with_strong_secret
  • PORT=4000
  • EMAIL_PROVIDER_API_KEY=
  • S3_BUCKET=
  • SENTRY_DSN=

Example frontend .env keys:

Never commit real secrets. Use a secrets manager for production.

Testing

  • Unit tests: run with npm test or pytest
  • Integration tests: backend routes tested with Supertest / pytest
  • End-to-end tests: Cypress or Playwright configured in tests/

Example:

# frontend
cd frontend
npm run test

# backend
cd backend
npm run test

CI / CD

  • Use GitHub Actions workflows (in .github/workflows) to:
    • Run linting and tests
    • Build and publish Docker images or deploy frontend to Vercel/Netlify
    • Run security checks (dependabot alerts, snyk)
  • Example production flow:
    • Merge to main -> build images -> run migrations -> deploy to cloud

Deployment

  • Frontend: Vercel / Netlify recommended for static or SSR builds
  • Backend: Docker to ECS, DigitalOcean App Platform, Heroku, Render, or Kubernetes
  • Use managed Postgres for production and configure backups and monitoring
  • Set up HTTPS and a domain; configure DNS and SSL via your provider or cloud

Design & UX

  • Keep a consistent brand style in design/ (colors, typography, iconography)
  • Design pages for conversion: clear headings, CTAs on hero, testimonials, services pages
  • Accessibility: use semantic HTML, ARIA roles where necessary, color contrast checks

Security & Privacy

  • Validate & sanitize user input on both frontend and backend
  • Use HTTPS everywhere; enable HSTS
  • Store passwords securely (bcrypt / Argon2) and rotate secrets
  • Follow GDPR and local privacy regulations for user data — add a privacy policy page

Contribution

We welcome contributions. To contribute:

  1. Fork the repo
  2. Create a feature branch: git checkout -b feat/your-feature
  3. Implement changes and add tests
  4. Open a pull request describing the change and link any related issue

Guidelines:

  • Follow the code style in the project (use linters/formatters)
  • Write tests for new behavior
  • Keep PRs focused and small

Issues & roadmap

  • Use GitHub Issues to track bugs, enhancements, and tasks.
  • Tag issues with labels e.g., bug, enhancement, design, backend, frontend.
  • Create a project board (optional) for roadmap and releases.

Useful resources & references

  • API docs: docs/openapi.yaml (recommended)
  • Design files: design/
  • Deployment scripts: docker/, infra/

License

Specify a license file (e.g., MIT). If not decided, add a LICENSE file at the repo root.

Contact

Maintainer: mirkashi


If you'd like, I can:

  • Generate a starter README tailored to a specific tech stack (e.g., Next.js + Express + PostgreSQL)
  • Create .env.example templates for frontend and backend
  • Produce initial GitHub Actions workflows for CI/CD Tell me which stack and features you prefer and I will update the README and add supporting files.

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