test(phase2): 端到端冒烟通过（result_store+因子+API+data_adapter 真实 A 股 117 bars）

scripts/smoke_phase2.py

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+"""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()