"""S1 spike：vnpy.alpha A 股支撑度。

验证在 scripts/spike_s1_alpha_ashare.py（NAS 容器内运行，用 Phase 1 真实数据）。
VERDICT: PASS —— vnpy.alpha 完整处理 A 股数据。

关键发现（修正后续 task）：
- AlphaLab 存的列名是 open/high/low/close（非 _price）→ data_adapter.py
- 表达式语法是 ts_/cs_/math 算子 + 列名 DataProxy（非 pl.col）→ library.py
- prepare_data 用 spawn pool（~11s/因子，spawn 开销）→ 编排层性能注意
"""


def test_s1_a_share_support_recorded():
    findings = {
        "alphalab_init": "OK",
        "data_convert_from_phase1": "OK (117 bars 600000.SSE 2024-01~06)",
        "save_load_roundtrip": "OK (vt=600000.SSE, 117 loaded)",
        "expression_factor_calc": "OK (ts_mean(close,5) → ma5 列, 31 rows in TEST segment)",
        "t_plus_1_support": "N/A (因子层不强制，由策略/回测层处理)",
        "price_limit_support": "N/A",
        "suspend_support": "N/A",
    }
    # S1 VERDICT: PASS
    assert findings["alphalab_init"] == "OK"
    assert findings["data_convert_from_phase1"].startswith("OK")
    assert findings["save_load_roundtrip"].startswith("OK")
    assert findings["expression_factor_calc"].startswith("OK")