galaxis-po/CLAUDE.md

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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
Galaxis-Po is a quant portfolio management application for DC pension (퇴직연금) investing. It implements the Kim Jong-bong (김종봉) strategy for backtesting, signal generation, and portfolio management. The strategy logic is defined in `quant.md` — do not modify it without explicit instruction.
## Tech Stack
- **Backend:** FastAPI, Python 3.12, SQLAlchemy, PostgreSQL, uv (package manager)
- **Frontend:** Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS v4, shadcn/ui (Radix primitives)
- **Infrastructure:** Docker Compose, PostgreSQL 18
## Common Commands
```bash
# Backend dev server (from repo root)
cd backend && uv run uvicorn app.main:app --reload
# Frontend dev server
cd frontend && npm run dev
# Run all backend tests
cd backend && uv run pytest
# Run a single test file
cd backend && uv run pytest tests/unit/test_kjb_signal.py -v
# Run e2e tests
cd backend && uv run pytest tests/e2e/ -v
# DB migration
cd backend && uv run alembic upgrade head
# Create new migration
cd backend && uv run alembic revision --autogenerate -m "description"
# Frontend lint
cd frontend && npm run lint
# Frontend type check
cd frontend && npx tsc --noEmit
# Start all services via Docker
docker-compose up -d
```
## Architecture
### Backend (`backend/`)
- `app/main.py` — FastAPI app with lifespan manager (seeds admin user, starts APScheduler)
- `app/api/` — Route handlers (routers): auth, admin, portfolio, strategy, market, backtest, snapshot, data_explorer, signal
- `app/models/` — SQLAlchemy ORM models: user, stock, portfolio, signal, backtest
- `app/schemas/` — Pydantic request/response schemas
- `app/services/` — Business logic layer:
- `collectors/` — Market data collectors (pykrx for Korean stock data, DART API for financials)
- `strategy/` — Kim Jong-bong strategy implementation (signal generation, factor calculation)
- `backtest/` — Backtesting engine
- `rebalance.py` — Portfolio rebalancing logic
- `price_service.py`, `factor_calculator.py`, `returns_calculator.py` — Quant utilities
- `app/core/` — Config (pydantic-settings from `.env`), database (SQLAlchemy), security (JWT/bcrypt)
- `jobs/` — APScheduler background jobs: data collection, signal generation, portfolio snapshots
- `alembic/` — Database migrations
- `tests/``unit/` and `e2e/` test directories
### Frontend (`frontend/`)
- Next.js App Router at `src/app/` with pages: portfolio, strategy, signals, backtest, admin, login
- `src/components/` — UI components organized by domain (portfolio, strategy, charts, layout, ui)
- `src/lib/api.ts` — Backend API client
- Uses lightweight-charts for financial charts, recharts for other visualizations
## Development Rules
1. Check `docs/plans/` for relevant design documents before implementing features
2. All API endpoints go under `backend/app/api/` as routers
3. DB schema changes require an alembic migration
4. Do not modify `.env` or `docker-compose.prod.yml`
5. Python: snake_case; TypeScript: camelCase
6. External APIs: KIS (Korea Investment & Securities) for market data, DART for financial statements, pykrx for Korean exchange data
## Environment
Backend config is loaded via pydantic-settings from environment variables / `.env` file. Key variables: `DATABASE_URL`, `JWT_SECRET`, `KIS_APP_KEY`, `KIS_APP_SECRET`, `KIS_ACCOUNT_NO`, `DART_API_KEY`. See `.env.example` for reference.