2ad2f56d31
Add CLAUDE.md and AGENTS.md for AI-assisted development guidance, analysis report with screenshots, and Playwright-based e2e test for signal cancellation flow. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
87 lines
3.5 KiB
Markdown
87 lines
3.5 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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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.
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## Tech Stack
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- **Backend:** FastAPI, Python 3.12, SQLAlchemy, PostgreSQL, uv (package manager)
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- **Frontend:** Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS v4, shadcn/ui (Radix primitives)
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- **Infrastructure:** Docker Compose, PostgreSQL 18
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## Common Commands
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```bash
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# Backend dev server (from repo root)
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cd backend && uv run uvicorn app.main:app --reload
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# Frontend dev server
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cd frontend && npm run dev
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# Run all backend tests
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cd backend && uv run pytest
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# Run a single test file
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cd backend && uv run pytest tests/unit/test_kjb_signal.py -v
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# Run e2e tests
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cd backend && uv run pytest tests/e2e/ -v
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# DB migration
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cd backend && uv run alembic upgrade head
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# Create new migration
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cd backend && uv run alembic revision --autogenerate -m "description"
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# Frontend lint
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cd frontend && npm run lint
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# Frontend type check
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cd frontend && npx tsc --noEmit
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# Start all services via Docker
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docker-compose up -d
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```
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## Architecture
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### Backend (`backend/`)
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- `app/main.py` — FastAPI app with lifespan manager (seeds admin user, starts APScheduler)
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- `app/api/` — Route handlers (routers): auth, admin, portfolio, strategy, market, backtest, snapshot, data_explorer, signal
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- `app/models/` — SQLAlchemy ORM models: user, stock, portfolio, signal, backtest
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- `app/schemas/` — Pydantic request/response schemas
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- `app/services/` — Business logic layer:
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- `collectors/` — Market data collectors (pykrx for Korean stock data, DART API for financials)
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- `strategy/` — Kim Jong-bong strategy implementation (signal generation, factor calculation)
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- `backtest/` — Backtesting engine
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- `rebalance.py` — Portfolio rebalancing logic
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- `price_service.py`, `factor_calculator.py`, `returns_calculator.py` — Quant utilities
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- `app/core/` — Config (pydantic-settings from `.env`), database (SQLAlchemy), security (JWT/bcrypt)
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- `jobs/` — APScheduler background jobs: data collection, signal generation, portfolio snapshots
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- `alembic/` — Database migrations
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- `tests/` — `unit/` and `e2e/` test directories
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### Frontend (`frontend/`)
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- Next.js App Router at `src/app/` with pages: portfolio, strategy, signals, backtest, admin, login
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- `src/components/` — UI components organized by domain (portfolio, strategy, charts, layout, ui)
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- `src/lib/api.ts` — Backend API client
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- Uses lightweight-charts for financial charts, recharts for other visualizations
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## Development Rules
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1. Check `docs/plans/` for relevant design documents before implementing features
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2. All API endpoints go under `backend/app/api/` as routers
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3. DB schema changes require an alembic migration
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4. Do not modify `.env` or `docker-compose.prod.yml`
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5. Python: snake_case; TypeScript: camelCase
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6. External APIs: KIS (Korea Investment & Securities) for market data, DART for financial statements, pykrx for Korean exchange data
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## Environment
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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.
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