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111 lines
4.6 KiB
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111 lines
4.6 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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Luncher is a lunch management app for teams — daily restaurant menus, food ordering, pizza day events, and payment QR codes. Czech-language UI. Full-stack TypeScript monorepo.
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## Monorepo Structure
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```
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types/ → Shared OpenAPI-generated TypeScript types (source of truth: types/api.yml)
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server/ → Express 5 backend (Node.js 22, ts-node)
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client/ → React 19 frontend (Vite 7, React Bootstrap)
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```
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Each directory has its own `package.json` and `tsconfig.json`. Package manager: **Yarn Classic**.
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## Development Commands
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### Initial setup
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```bash
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cd types && yarn install && yarn openapi-ts # Generate API types first
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cd ../server && yarn install
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cd ../client && yarn install
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```
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### Running dev environment
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```bash
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# All-in-one (tmux):
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./run_dev.sh
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# Or manually in separate terminals:
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cd server && NODE_ENV=development yarn startReload # Port 3001, nodemon watch
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cd client && yarn start # Port 3000, proxies /api → 3001
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```
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### Building
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```bash
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cd types && yarn openapi-ts # Regenerate types from api.yml
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cd server && yarn build # tsc → server/dist
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cd client && yarn build # tsc --noEmit + vite build → client/dist
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```
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### Tests
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```bash
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cd server && yarn test # Jest (tests in server/src/tests/)
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```
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### Formatting
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```bash
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# Prettier available in client (no config file — uses defaults)
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```
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## Architecture
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### API Types (types/)
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- OpenAPI 3.0 spec in `types/api.yml` — all API endpoints and DTOs defined here
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- `yarn openapi-ts` generates `types/gen/` (client.gen.ts, sdk.gen.ts, types.gen.ts)
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- Both server and client import from these generated types
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- **When changing API contracts: update api.yml first, then regenerate**
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### Server (server/src/)
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- **Entry:** `index.ts` — Express app + Socket.io setup
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- **Routes:** `routes/` — modular Express route handlers (food, pizzaDay, voting, notifications, qr, stats, easterEgg, dev)
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- **Services:** domain logic files at root level (`service.ts`, `pizza.ts`, `restaurants.ts`, `chefie.ts`, `voting.ts`, `stats.ts`, `qr.ts`, `notifikace.ts`)
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- **Auth:** `auth.ts` — JWT + optional trusted-header authentication
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- **Storage:** `storage/StorageInterface.ts` defines the interface; implementations in `storage/json.ts` (file-based, dev) and `storage/redis.ts` (production). Data keyed by date (YYYY-MM-DD).
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- **Restaurant scrapers:** Cheerio-based HTML parsing for daily menus from multiple restaurants
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- **WebSocket:** `websocket.ts` — Socket.io for real-time client updates
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- **Mock mode:** `MOCK_DATA=true` env var returns fake menus (useful for weekend/holiday dev)
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- **Config:** `.env.development` / `.env.production` (see `.env.template` for all options)
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### Client (client/src/)
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- **Entry:** `index.tsx` → `App.tsx` → `AppRoutes.tsx`
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- **Pages:** `pages/` (StatsPage)
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- **Components:** `components/` (Header, Footer, Loader, modals/, PizzaOrderList, PizzaOrderRow)
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- **Context providers:** `context/` — AuthContext, SettingsContext, SocketContext, EasterEggContext
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- **Styling:** Bootstrap 5 + React Bootstrap + custom SCSS files (co-located with components)
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- **API calls:** use OpenAPI-generated SDK from `types/gen/`
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- **Routing:** React Router DOM v7
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### Data Flow
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1. Client calls API via generated SDK → Express routes
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2. Server scrapes restaurant websites or returns cached data
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3. Storage: Redis (production) or JSON file (development)
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4. Socket.io broadcasts changes to all connected clients
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## Environment
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- **Server env files:** `server/.env.development`, `server/.env.production` (see `server/.env.template`)
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- Key vars: `JWT_SECRET`, `STORAGE` (json/redis), `MOCK_DATA`, `REDIS_HOST`, `REDIS_PORT`
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- **Docker:** multi-stage Dockerfile, `compose.yml` for app + Redis. Timezone: Europe/Prague.
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## Conventions
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- Czech naming for domain variables and UI strings; English for infrastructure code
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- TypeScript strict mode in both client and server
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- Server module resolution: Node16; Client: ESNext/bundler
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## Code Search Strategy
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When searching through the project for information, use the Task tool to spawn
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subagents. Each subagent should read the relevant files and return a brief
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summary of what it found (not the full file contents). This keeps the main
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context window small and saves tokens. Only pull in full file contents once
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you've identified the specific files that matter.
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When using subagents to search, each subagent should return:
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- File path
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- Whether it's relevant (yes/no)
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- 1-3 sentence summary of what's in the file
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Do NOT return full file contents in subagent responses. |