"""交易记录：字段补全、资金曲线数据。"""
from __future__ import annotations

from typing import Any


TRADE_LOG_EXTRA_COLUMNS = (
    "ALTER TABLE trade_logs ADD COLUMN margin_pct REAL",
    "ALTER TABLE trade_logs ADD COLUMN equity_after REAL",
    "ALTER TABLE trade_logs ADD COLUMN source TEXT DEFAULT 'local'",
    "ALTER TABLE trade_logs ADD COLUMN ctp_trade_key TEXT",
)


def ensure_trade_log_columns(conn) -> None:
    for sql in TRADE_LOG_EXTRA_COLUMNS:
        try:
            conn.execute(sql)
        except Exception:
            pass


def calc_equity_after(capital: float, pnl_net: float) -> float | None:
    cap = float(capital or 0)
    if cap <= 0:
        return None
    return round(cap + float(pnl_net or 0), 2)


def enrich_trades_for_records(
    trades: list[dict[str, Any]],
    *,
    initial_capital: float = 0.0,
) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
    """表格仍按 id 降序；资金曲线按平仓时间升序用最新资金绘制。"""
    rows = [dict(t) for t in trades]
    chrono = sorted(
        rows,
        key=lambda t: ((t.get("close_time") or ""), int(t.get("id") or 0)),
    )
    running = float(initial_capital or 0)
    curve: list[dict[str, Any]] = []

    for t in chrono:
        pnl_net = float(t.get("pnl_net") or 0)
        eq = t.get("equity_after")
        if eq is None:
            if running > 0:
                eq = round(running + pnl_net, 2)
            else:
                eq = None
            t["equity_after"] = eq
        if eq is not None:
            running = float(eq)

        if t.get("margin_pct") is None:
            margin = float(t.get("margin") or 0)
            cap_before = float(eq or 0) - pnl_net if eq is not None else 0.0
            if margin > 0 and cap_before > 0:
                t["margin_pct"] = round(margin / cap_before * 100, 2)

        if eq is not None:
            curve.append({
                "time": (t.get("close_time") or "")[:19],
                "value": float(eq),
                "id": int(t.get("id") or 0),
            })

    return rows, curve