"""策略结束快照：趋势回调 / 顺势加仓（四所共用）。"""
from __future__ import annotations

import json
from datetime import datetime, timezone
from typing import Any, Callable, Optional

STRATEGY_TREND = "trend_pullback"
STRATEGY_ROLL = "roll"
STRATEGY_SNAPSHOTS_MAX_ROWS = 100
# 同一趋势计划只允许一条「结束类」快照（中控全平 + 监控止损 + 实例结束计划）
FINAL_TREND_CLOSE_RANK = {
    "手动平仓": 3,
    "止盈": 2,
    "止损": 1,
}
FINAL_TREND_CLOSE_LABELS = tuple(FINAL_TREND_CLOSE_RANK.keys())

STRATEGY_SNAPSHOTS_SQL = """
CREATE TABLE IF NOT EXISTS strategy_trade_snapshots (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    strategy_type TEXT NOT NULL,
    source_id INTEGER,
    symbol TEXT,
    exchange_symbol TEXT,
    direction TEXT,
    result_label TEXT,
    status_at_close TEXT,
    opened_at TEXT,
    closed_at TEXT,
    pnl_amount REAL,
    snapshot_json TEXT NOT NULL,
    created_at TEXT
)
"""


def init_strategy_snapshot_table(conn) -> None:
    conn.execute(STRATEGY_SNAPSHOTS_SQL)
    conn.execute(
        "CREATE INDEX IF NOT EXISTS idx_strategy_snapshots_closed "
        "ON strategy_trade_snapshots(closed_at DESC)"
    )
    conn.execute(
        "CREATE INDEX IF NOT EXISTS idx_strategy_snapshots_type "
        "ON strategy_trade_snapshots(strategy_type, source_id)"
    )


def _row_dict(row) -> dict:
    if row is None:
        return {}
    try:
        return dict(row)
    except Exception:
        return {}


def _json_dumps(obj: Any) -> str:
    return json.dumps(obj, ensure_ascii=False, separators=(",", ":"))


def build_trend_dca_levels(plan: dict) -> list[dict]:
    """首仓 + 补仓档位列表（供策略页 / 中控）。"""
    out: list[dict] = []
    p = plan or {}
    try:
        legs_done = int(p.get("legs_done") or 0)
    except (TypeError, ValueError):
        legs_done = 0
    try:
        dca_legs = int(p.get("dca_legs") or 0)
    except (TypeError, ValueError):
        dca_legs = 0
    first_done = int(p.get("first_order_done") or 0) != 0
    try:
        grid = json.loads(p.get("grid_prices_json") or "[]")
        if not isinstance(grid, list):
            grid = []
    except Exception:
        grid = []
    try:
        leg_amounts = json.loads(p.get("leg_amounts_json") or "[]")
        if not isinstance(leg_amounts, list):
            leg_amounts = []
    except Exception:
        leg_amounts = []

    out.append(
        {
            "i": 0,
            "leg_key": "first",
            "label": "首仓",
            "price": None,
            "contracts": p.get("first_order_amount"),
            "status": "done" if first_done else "pending",
            "status_label": "已开仓" if first_done else "待开仓",
        }
    )
    n = max(len(grid), len(leg_amounts), dca_legs)
    for idx in range(n):
        leg_i = idx + 1
        price = grid[idx] if idx < len(grid) else None
        contracts = leg_amounts[idx] if idx < len(leg_amounts) else None
        done = leg_i <= legs_done
        out.append(
            {
                "i": leg_i,
                "leg_key": f"dca_{leg_i}",
                "label": f"补仓{leg_i}",
                "price": price,
                "contracts": contracts,
                "status": "done" if done else "pending",
                "status_label": "已补仓" if done else "待补仓",
            }
        )
    return out


def attach_trend_dca_levels(plan: dict) -> dict:
    from strategy_trend_lib import enrich_trend_dca_levels_with_tp

    d = dict(plan or {})
    levels = build_trend_dca_levels(d)
    d["dca_levels"] = enrich_trend_dca_levels_with_tp(d, levels)
    return d


def _snapshot_key_exists(
    conn, strategy_type: str, source_id: int, result_label: str
) -> bool:
    if source_id <= 0:
        return False
    label = (result_label or "").strip()
    row = conn.execute(
        """SELECT 1 FROM strategy_trade_snapshots
           WHERE strategy_type=? AND source_id=? AND result_label=?
           LIMIT 1""",
        (strategy_type, int(source_id), label),
    ).fetchone()
    return row is not None


def _final_trend_close_rank(result_label: str) -> int:
    return int(FINAL_TREND_CLOSE_RANK.get((result_label or "").strip(), 0))


def _purge_weaker_trend_final_snapshots(
    conn, plan_id: int, result_label: str
) -> None:
    """写入更高优先级结束快照时，删除同计划较弱的结束记录。"""
    rank = _final_trend_close_rank(result_label)
    if rank <= 0 or plan_id <= 0:
        return
    for label, lr in FINAL_TREND_CLOSE_RANK.items():
        if lr < rank:
            conn.execute(
                """DELETE FROM strategy_trade_snapshots
                   WHERE strategy_type=? AND source_id=? AND result_label=?""",
                (STRATEGY_TREND, int(plan_id), label),
            )


def dedupe_strategy_snapshots(conn) -> int:
    """删除重复快照：同结果去重 + 同计划仅保留最高优先级结束类记录。"""
    init_strategy_snapshot_table(conn)
    removed = 0
    cur = conn.execute(
        """DELETE FROM strategy_trade_snapshots
           WHERE id IN (
               SELECT s1.id FROM strategy_trade_snapshots s1
               INNER JOIN strategy_trade_snapshots s2
                 ON s1.strategy_type = s2.strategy_type
                AND s1.source_id = s2.source_id
                AND s1.result_label = s2.result_label
                AND s1.id < s2.id
           )"""
    )
    removed += int(getattr(cur, "rowcount", 0) or 0)
    rows = conn.execute(
        f"""SELECT id, source_id, result_label FROM strategy_trade_snapshots
            WHERE strategy_type=? AND result_label IN ({",".join("?" * len(FINAL_TREND_CLOSE_LABELS))})""",
        (STRATEGY_TREND, *FINAL_TREND_CLOSE_LABELS),
    ).fetchall()
    by_plan: dict[int, list] = {}
    for row in rows:
        d = _row_dict(row)
        try:
            pid = int(d.get("source_id") or 0)
        except (TypeError, ValueError):
            pid = 0
        if pid <= 0:
            continue
        by_plan.setdefault(pid, []).append(d)
    drop_ids: list[int] = []
    for snaps in by_plan.values():
        if len(snaps) <= 1:
            continue
        best = max(
            snaps,
            key=lambda s: (
                _final_trend_close_rank(str(s.get("result_label") or "")),
                int(s.get("id") or 0),
            ),
        )
        keep_id = int(best.get("id") or 0)
        for s in snaps:
            sid = int(s.get("id") or 0)
            if sid and sid != keep_id:
                drop_ids.append(sid)
    if drop_ids:
        placeholders = ",".join("?" * len(drop_ids))
        cur2 = conn.execute(
            f"DELETE FROM strategy_trade_snapshots WHERE id IN ({placeholders})",
            drop_ids,
        )
        removed += int(getattr(cur2, "rowcount", 0) or 0)
    return removed


def save_trend_plan_snapshot(
    cfg: dict,
    conn,
    plan_row: Any,
    *,
    result_label: str,
    exit_price: float | None = None,
    pnl_amount: float | None = None,
    closed_at: str | None = None,
) -> None:
    init_strategy_snapshot_table(conn)
    row = _row_dict(plan_row)
    plan_id = int(row.get("id") or 0)
    if plan_id <= 0:
        return
    label = (result_label or "").strip()
    close_rank = _final_trend_close_rank(label)
    if close_rank > 0:
        existing = conn.execute(
            f"""SELECT result_label FROM strategy_trade_snapshots
                WHERE strategy_type=? AND source_id=? AND result_label IN ({",".join("?" * len(FINAL_TREND_CLOSE_LABELS))})""",
            (STRATEGY_TREND, plan_id, *FINAL_TREND_CLOSE_LABELS),
        ).fetchall()
        for ex in existing:
            ex_label = str(_row_dict(ex).get("result_label") or "")
            if _final_trend_close_rank(ex_label) >= close_rank:
                return
        _purge_weaker_trend_final_snapshots(conn, plan_id, label)
    elif _snapshot_key_exists(conn, STRATEGY_TREND, plan_id, label):
        return
    m = cfg.get("app_module")
    close_ts = (closed_at or "").strip() or (
        m.app_now_str()
        if m is not None and hasattr(m, "app_now_str")
        else datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
    )
    payload = attach_trend_dca_levels(row)
    payload["result_label"] = result_label
    payload["exit_price"] = exit_price
    payload["pnl_amount"] = pnl_amount
    payload["status_at_close"] = row.get("status")
    conn.execute(
        """INSERT INTO strategy_trade_snapshots (
            strategy_type, source_id, symbol, exchange_symbol, direction,
            result_label, status_at_close, opened_at, closed_at, pnl_amount, snapshot_json, created_at
        ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?)""",
        (
            STRATEGY_TREND,
            plan_id,
            row.get("symbol"),
            row.get("exchange_symbol"),
            row.get("direction"),
            result_label,
            row.get("status"),
            row.get("opened_at"),
            close_ts,
            pnl_amount,
            _json_dumps(payload),
            close_ts,
        ),
    )
    prune_strategy_snapshots(conn, keep=STRATEGY_SNAPSHOTS_MAX_ROWS)


def save_roll_group_snapshot(
    cfg: dict,
    conn,
    group: dict,
    *,
    result_label: str = "结束",
    pnl_amount: float | None = None,
) -> None:
    init_strategy_snapshot_table(conn)
    g = dict(group or {})
    gid = int(g.get("id") or 0)
    if gid <= 0:
        return
    label = (result_label or "结束").strip()
    if _snapshot_key_exists(conn, STRATEGY_ROLL, gid, label):
        return
    legs = []
    for leg in conn.execute(
        "SELECT * FROM roll_legs WHERE roll_group_id=? ORDER BY leg_index ASC, id ASC",
        (gid,),
    ).fetchall():
        ld = _row_dict(leg)
        try:
            from strategy_roll_monitor_lib import roll_leg_status_label

            ld["status_label"] = roll_leg_status_label(ld.get("status"))
        except Exception:
            ld["status_label"] = ld.get("status") or ""
        legs.append(ld)
    m = cfg.get("app_module")
    closed_at = (
        m.app_now_str()
        if m is not None and hasattr(m, "app_now_str")
        else datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
    )
    payload = {
        "group": g,
        "legs": legs,
        "result_label": result_label,
        "pnl_amount": pnl_amount,
    }
    conn.execute(
        """INSERT INTO strategy_trade_snapshots (
            strategy_type, source_id, symbol, exchange_symbol, direction,
            result_label, status_at_close, opened_at, closed_at, pnl_amount, snapshot_json, created_at
        ) VALUES (?,?,?,?,?,?,?,?,?,?,?,?)""",
        (
            STRATEGY_ROLL,
            gid,
            g.get("symbol"),
            g.get("exchange_symbol"),
            g.get("direction"),
            result_label,
            g.get("status"),
            g.get("created_at"),
            closed_at,
            pnl_amount,
            _json_dumps(payload),
            closed_at,
        ),
    )
    prune_strategy_snapshots(conn, keep=STRATEGY_SNAPSHOTS_MAX_ROWS)


def prune_strategy_snapshots(conn, *, keep: int = STRATEGY_SNAPSHOTS_MAX_ROWS) -> None:
    """仅保留最近 keep 条策略快照（按 closed_at / id 倒序）。"""
    dedupe_strategy_snapshots(conn)
    k = max(1, min(int(keep), 500))
    conn.execute(
        """DELETE FROM strategy_trade_snapshots
           WHERE id NOT IN (
               SELECT id FROM strategy_trade_snapshots
               ORDER BY COALESCE(closed_at, created_at, '') DESC, id DESC
               LIMIT ?
           )""",
        (k,),
    )


def _snapshot_pnl(row: dict, snap: dict) -> float | None:
    for key in ("pnl_amount",):
        v = row.get(key)
        if v is not None and v != "":
            try:
                return float(v)
            except (TypeError, ValueError):
                pass
    v = snap.get("pnl_amount")
    if v is not None and v != "":
        try:
            return float(v)
        except (TypeError, ValueError):
            pass
    return None


def _trend_dca_stats(snap: dict) -> dict:
    levels = snap.get("dca_levels") or build_trend_dca_levels(snap)
    dca_only = [
        lv
        for lv in levels
        if (lv.get("leg_key") or "") != "first" and (lv.get("label") or "") != "首仓"
    ]
    done = sum(1 for lv in dca_only if lv.get("status") == "done")
    total = len(dca_only)
    pending = total - done
    if total <= 0:
        tag = "na"
    elif done <= 0:
        tag = "no_dca"
    elif done >= total:
        tag = "dca_done"
    else:
        tag = "dca_partial"
    return {
        "dca_done": done,
        "dca_total": total,
        "dca_pending": pending,
        "dca_tag": tag,
    }


def _roll_leg_stats(snap: dict) -> dict:
    legs = snap.get("legs") or []
    if not isinstance(legs, list):
        legs = []
    filled = sum(1 for lg in legs if (lg.get("status") or "").lower() == "filled")
    total = len(legs)
    pending = total - filled
    if total <= 0:
        tag = "na"
    elif filled <= 0:
        tag = "no_dca"
    elif filled >= total:
        tag = "dca_done"
    else:
        tag = "dca_partial"
    return {
        "dca_done": filled,
        "dca_total": total,
        "dca_pending": pending,
        "dca_tag": tag,
    }


def enrich_strategy_snapshot_row(row: dict) -> dict:
    d = dict(row or {})
    snap = d.get("snapshot") or {}
    st = (d.get("strategy_type") or "").strip()
    pnl = _snapshot_pnl(d, snap)
    if pnl is not None:
        if pnl > 1e-9:
            d["filter_pnl"] = "profit"
        elif pnl < -1e-9:
            d["filter_pnl"] = "loss"
        else:
            d["filter_pnl"] = "flat"
    else:
        d["filter_pnl"] = "unknown"
    snap_sym = ""
    if isinstance(snap, dict):
        snap_sym = (snap.get("symbol") or snap.get("exchange_symbol") or "").strip()
    sym = (d.get("symbol") or d.get("exchange_symbol") or snap_sym or "").strip()
    if sym:
        d["symbol"] = d.get("symbol") or sym
        d["exchange_symbol"] = d.get("exchange_symbol") or sym
    d["filter_symbol"] = sym.upper().split("/")[0].split(":")[0] if sym else ""
    closed = (d.get("closed_at") or d.get("created_at") or "").strip()
    d["sort_ts"] = closed
    if st == STRATEGY_TREND:
        stats = _trend_dca_stats(snap)
        d.update(stats)
        legs_txt = (
            f"{stats['dca_done']}/{stats['dca_total']}"
            if stats["dca_total"] > 0
            else "0/0"
        )
        d["summary_dca"] = legs_txt
    else:
        stats = _roll_leg_stats(snap)
        d.update(stats)
        d["summary_dca"] = (
            f"{stats['dca_done']}/{stats['dca_total']}腿"
            if stats["dca_total"] > 0
            else "—"
        )
    return d


def list_strategy_snapshots(conn, *, limit: int = 200) -> list[dict]:
    init_strategy_snapshot_table(conn)
    rows = conn.execute(
        "SELECT * FROM strategy_trade_snapshots ORDER BY id DESC LIMIT ?",
        (max(1, min(int(limit), 500)),),
    ).fetchall()
    out = []
    seen: dict[tuple[str, int, str], int] = {}
    for r in rows:
        d = _row_dict(r)
        try:
            d["snapshot"] = json.loads(d.get("snapshot_json") or "{}")
        except Exception:
            d["snapshot"] = {}
        st = (d.get("strategy_type") or "").strip()
        d["strategy_label"] = "趋势回调" if st == STRATEGY_TREND else "顺势加仓"
        enriched = enrich_strategy_snapshot_row(d)
        try:
            source_id = int(enriched.get("source_id") or 0)
        except (TypeError, ValueError):
            source_id = 0
        result_label = (enriched.get("result_label") or "").strip()
        close_rank = _final_trend_close_rank(result_label)
        if st == STRATEGY_TREND and source_id > 0 and close_rank > 0:
            plan_key = (st, source_id)
            snap_id = int(enriched.get("id") or 0)
            prev = seen.get(plan_key)
            if prev is not None:
                prev_id, prev_rank = prev
                if prev_rank > close_rank or (prev_rank == close_rank and prev_id >= snap_id):
                    continue
                out = [x for x in out if int(x.get("id") or 0) != prev_id]
            seen[plan_key] = (snap_id, close_rank)
            out.append(enriched)
            continue
        key = (st, source_id, result_label)
        snap_id = int(enriched.get("id") or 0)
        prev = seen.get(key)
        if prev is not None and prev[0] >= snap_id:
            continue
        if prev is not None:
            out = [x for x in out if int(x.get("id") or 0) != prev[0]]
        seen[key] = (snap_id, 0)
        out.append(enriched)
    return out


def list_strategy_snapshots_split(
    conn, *, limit: int = STRATEGY_SNAPSHOTS_MAX_ROWS
) -> tuple[list[dict], list[dict], list[str]]:
    """趋势 / 顺势分组，及筛选用币种列表。"""
    all_rows = list_strategy_snapshots(conn, limit=limit)
    trend = [r for r in all_rows if (r.get("strategy_type") or "") == STRATEGY_TREND]
    roll = [r for r in all_rows if (r.get("strategy_type") or "") == STRATEGY_ROLL]
    symbols = sorted({r.get("filter_symbol") or "" for r in all_rows if r.get("filter_symbol")})
    return trend, roll, symbols