# tests/factor/test_preaggregate_top_holders.py
"""top_holders 预聚合一次性脚本: 108,610 小文件 → 单 parquet 聚合产物.

契约(P1-B 任务书):
- 输出 (file_code, period, hold_pct, n_holders),hold_pct = 单文件 10 行
  「占总流通股本持股比例」(%)求和;null 占比按 0
- 幂等: dst 存在默认跳过(--force 重算);绝不写 static 树
- 增减列混合类型(「不变」字符串)不参与求和,读入 coerce 不炸
"""
import os
import sys
from datetime import date

sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "vnpy_v4.4.0")))

import polars as pl
import pytest

from scripts.factor_research.preaggregate_top_holders import aggregate, main


def _write_file(root: str, file_code: str, period: str, ratios, with_null=False):
    os.makedirs(root, exist_ok=True)
    rows = []
    for r, ratio in enumerate(ratios):
        rows.append({
            "名次": r + 1, "股东名称": f"股东{r}", "股东性质": "基金",
            "股份类型": "流通A股", "持股数": 1000 + r,
            "占总流通股本持股比例": ratio,
            "增减": "不变" if r % 2 else f"{1000 + r}",  # 混合类型
            "变动比率": 0.0,
        })
    if with_null:
        rows.append({"名次": 11, "股东名称": "股东10", "股东性质": "基金",
                     "股份类型": "流通A股", "持股数": 1,
                     "占总流通股本持股比例": None, "增减": "不变", "变动比率": 0.0})
    pl.DataFrame(rows).write_parquet(
        os.path.join(root, f"{file_code}_{period}_top_holders.parquet"))


@pytest.fixture()
def th_tree(tmp_path):
    root = str(tmp_path / "top_holders")
    _write_file(root, "600000.SH", "20221231", [6.0] * 10)
    # null 占比行(9 行有值 + 1 行 null → sum=45,不因 null 炸/漏)
    _write_file(root, "000001.SZ", "20221231", [5.0] * 9, with_null=True)
    _write_file(root, "600000.SH", "20230331", [6.5] * 10)
    return root


def test_aggregate_sums_per_code_period(th_tree, tmp_path):
    dst = str(tmp_path / "factor_cache" / "agg.parquet")
    df = aggregate(th_tree, dst)
    assert set(df.columns) == {"file_code", "period", "hold_pct", "n_holders"}
    got = {(r["file_code"], r["period"]): r["hold_pct"] for r in df.iter_rows(named=True)}
    assert got == {
        ("600000.SH", date(2022, 12, 31)): 60.0,
        ("600000.SH", date(2023, 3, 31)): 65.0,
        ("000001.SZ", date(2022, 12, 31)): 45.0,  # null 行按 0,9×5.0
    }
    # n_holders = 原始行数(null 行也计入)
    n = {(r["file_code"], r["period"]): r["n_holders"] for r in df.iter_rows(named=True)}
    assert n[("000001.SZ", date(2022, 12, 31))] == 10


def test_aggregate_idempotent_and_force(th_tree, tmp_path, capsys):
    dst = str(tmp_path / "factor_cache" / "agg.parquet")
    aggregate(th_tree, dst)
    first_mtime = os.path.getmtime(dst)
    # 已存在 → 跳过重算(mtime 不变)
    df2 = aggregate(th_tree, dst)
    assert os.path.getmtime(dst) == first_mtime
    assert df2.height == 3
    out = capsys.readouterr().out
    assert "跳过" in out
    # --force 重算(mtime 更新;新文件落盘触发)
    import time
    time.sleep(0.01)
    _write_file(th_tree, "600000.SH", "20230630", [6.2] * 10)
    aggregate(th_tree, dst, force=True)
    assert os.path.getmtime(dst) > first_mtime
    df3 = pl.read_parquet(dst)
    assert df3.height == 4


def test_aggregate_skips_bad_filenames(th_tree, tmp_path):
    # 非契约文件名(北交/杂名)跳过不炸
    _write_file(th_tree, "920001.BJ", "20221231", [1.0] * 10)
    (tmp_path / "top_holders" / "notes.txt").write_text("junk")
    dst = str(tmp_path / "agg2.parquet")
    df = aggregate(th_tree, dst)
    assert df.filter(pl.col("file_code") == "920001.BJ").height == 0


def test_main_cli(th_tree, tmp_path, capsys):
    dst = str(tmp_path / "cli" / "agg.parquet")
    main(["--src", th_tree, "--dst", dst])
    df = pl.read_parquet(dst)
    assert df.height == 3
    assert "rows" in capsys.readouterr().out