"""embed 壳/片段：按 tab 裁剪 render_main_page 的数据加载，降内存与 API 压力。"""

from __future__ import annotations

from dataclasses import dataclass
from typing import Any

EMBED_STRATEGY_PAGES = frozenset({"strategy", "strategy_trend", "strategy_roll", "strategy_records"})


@dataclass(frozen=True)
class EmbedRenderPlan:
    exchange_capitals: bool
    records_rows: bool
    records_summary: bool
    key_history: bool
    key_list: bool
    orders: bool
    stats_bundle: bool
    strategy: bool
    orphan_live: bool


def embed_render_plan(page: str, embed_mode: str | None) -> EmbedRenderPlan:
    if embed_mode not in ("fragment", "shell"):
        return EmbedRenderPlan(
            exchange_capitals=True,
            records_rows=True,
            records_summary=False,
            key_history=True,
            key_list=True,
            orders=True,
            stats_bundle=True,
            strategy=True,
            orphan_live=True,
        )
    is_shell = embed_mode == "shell"
    is_strategy = page in EMBED_STRATEGY_PAGES
    return EmbedRenderPlan(
        exchange_capitals=is_shell,
        records_rows=page == "records",
        records_summary=is_shell and page != "records",
        key_history=page == "key_monitor",
        key_list=page in ("key_monitor", "trade") or is_strategy,
        orders=page == "trade" or is_strategy,
        stats_bundle=page == "stats",
        strategy=is_strategy,
        orphan_live=page == "trade" and is_shell,
    )


def trade_records_summary(conn, start_bj: str, end_bj: str, tr_ts: str) -> dict[str, Any]:
    """顶栏统计用 COUNT，避免 embed 壳拉 1000 行交易记录。"""
    from trade_result_lib import sql_effective_pnl_expr

    pnl_sql = sql_effective_pnl_expr()
    row = conn.execute(
        f"""
        SELECT
            COUNT(*) AS total,
            SUM(CASE WHEN result = '错过' THEN 1 ELSE 0 END) AS miss_count,
            SUM(CASE WHEN {pnl_sql} > 0 THEN 1 ELSE 0 END) AS wins,
            SUM(CASE WHEN result = '错过' AND COALESCE(miss_reason,'') LIKE '%持仓占用%' THEN 1 ELSE 0 END) AS occupied_miss
        FROM trade_records
        WHERE {tr_ts} >= ? AND {tr_ts} <= ?
        """,
        (start_bj, end_bj),
    ).fetchone()
    total = int(row["total"] or 0) if row else 0
    miss_count = int(row["miss_count"] or 0) if row else 0
    wins = int(row["wins"] or 0) if row else 0
    occupied_miss_total = int(row["occupied_miss"] or 0) if row else 0
    rate = round(wins / total * 100, 2) if total else 0
    return {
        "records": [],
        "total": total,
        "miss_count": miss_count,
        "rate": rate,
        "occupied_miss_total": occupied_miss_total,
    }


def minimal_stats_bundle(reset_hour: int) -> dict[str, Any]:
    return {"stats_reset_hour": reset_hour, "segments": []}