"""Phase 2 端到端冒烟：result_store + 因子 registry + API + data_adapter（真实数据）。"""
import sys
sys.path.insert(0, "/app")
sys.path.insert(0, "/app/vnpy_v4.4.0")


def main():
    print("=== Phase 2 E2E Smoke ===")
    import pandas as pd

    # 1. result_store 增删查
    from sanguo_backtest.result_store import save_result, load_result, BacktestResult
    r = BacktestResult("smoke", "cta", "done", "Test", "600000", {"n": 5},
                       "2024-01-01", "2024-06-30", {"return": 0.1},
                       pd.DataFrame({"e": [1.0]}), pd.DataFrame(), None)
    rid = save_result(r, db_path="/tmp/smoke.db", file_dir="/tmp")
    print(f"  result_store: id={rid}, strategy={load_result(rid, '/tmp/smoke.db').strategy}")

    # 2. 因子 registry
    import sanguo_factor.library
    from sanguo_factor.registry import list_factors
    print(f"  factors: {len(list_factors())} total, {len(list_factors('builtin'))} builtin")

    # 3. API 启动
    from sanguo_api.app import create_app
    app = create_app(db_path="/tmp/smoke.db", file_dir="/tmp")
    routes = [r.path for r in app.routes if hasattr(r, "path")]
    print(f"  API routes: {len(routes)} loaded")

    # 4. data_adapter（真实 A 股数据）
    from sanguo_data.datareader import read_db_daily
    from sanguo_data.config import load_config
    from sanguo_factor.data_adapter import convert_bars_to_alpha_df
    cfg = load_config("/app/config/data_platform.yaml")
    bars = read_db_daily("600000", "2024-01-01", "2024-06-30", cfg)
    df = convert_bars_to_alpha_df(bars)
    print(f"  data_adapter: {len(bars)} bars -> df height={df.height}, cols={df.columns[:5]}...")

    print("=== Phase 2 Smoke DONE ===")


if __name__ == "__main__":
    main()