"""内照明心复盘语录 → 交易教练点评。"""
from __future__ import annotations

from typing import Any

from hub_ai.chat import _is_ai_error_reply
from hub_ai.client import generate_text, model_label
from hub_ai.config import CHAT_MAX_CONTINUATIONS, CHAT_MAX_OUTPUT_TOKENS, CHAT_TEMPERATURE
from hub_ai.prompts import CHAT_SYSTEM, build_archive_quote_review_prompt
from hub_ai.store import CHAT_BOT_TRADING, append_chat_message, create_new_session, list_chat_sessions
from hub_symbol_archive_lib import list_daily_trades


def _tag_label(tag: str) -> str:
    t = (tag or "").strip().lower()
    if t == "sick":
        return "犯病"
    if t == "emotion":
        return "情绪化"
    return t or "—"


def _fmt_pnl(v: Any) -> str:
    try:
        n = float(v or 0)
    except (TypeError, ValueError):
        return "—"
    sign = "+" if n > 0 else ""
    return f"{sign}{n:.2f}U"


def format_archive_trades_for_ai(payload: dict[str, Any]) -> str:
    trades = payload.get("trades") or []
    stats = payload.get("stats") or {}
    lines = [
        (
            f"统计：开仓 {int(stats.get('open_count') or 0)} 笔，"
            f"犯病 {int(stats.get('sick_count') or 0)} 笔，"
            f"盈亏合计 {_fmt_pnl(stats.get('pnl_total'))}，"
            f"剔除犯病盈亏 {_fmt_pnl(stats.get('pnl_ex_sick'))}"
        )
    ]
    if not trades:
        lines.append("（该日无交易记录）")
        return "\n".join(lines)
    for i, t in enumerate(trades, 1):
        ex = str(t.get("exchange_key") or t.get("account_exchange_key") or "—")
        sym = str(t.get("symbol") or "—")
        direction = str(t.get("direction") or "—")
        opened = str(t.get("opened_at") or "—")
        closed = str(t.get("closed_at") or "—")
        hold = str(t.get("hold_minutes_text") or t.get("hold_minutes") or "—")
        result = str(t.get("result") or "—")
        pnl = _fmt_pnl(t.get("pnl_amount"))
        entry = str(t.get("entry_type") or t.get("entry_reason") or t.get("monitor_type") or "—")
        tag = _tag_label(str(t.get("behavior_tag") or ""))
        note = str(t.get("note") or "").strip()
        line = (
            f"{i}. {ex} | {sym} | {direction} | 开仓类型 {entry} | "
            f"开 {opened} | 平 {closed} | 持仓 {hold} | 结果 {result} | "
            f"盈亏 {pnl} | 标签 {tag}"
        )
        if note:
            line += f" | 备注 {note}"
        lines.append(line)
    return "\n".join(lines)


def send_archive_quote_review(
    *,
    quote_date: str,
    content: str,
) -> dict[str, Any]:
    text = (content or "").strip()
    if not text:
        return {"ok": False, "msg": "语录内容不能为空"}
    day = (quote_date or "").strip()[:10]
    if not day:
        return {"ok": False, "msg": "语录日期无效"}

    session = create_new_session(
        trading_day=day,
        title=f"复盘 {day}",
        bot_mode=CHAT_BOT_TRADING,
    )
    sid = session["id"]

    archive_payload = list_daily_trades(trading_day=day, period="today")
    archive_trades_text = format_archive_trades_for_ai(archive_payload)

    append_chat_message(sid, "user", text)

    user_prompt = build_archive_quote_review_prompt(
        quote_date=day,
        archive_trades_text=archive_trades_text,
        user_message=text,
    )
    reply = generate_text(
        system=CHAT_SYSTEM,
        user=user_prompt,
        temperature=CHAT_TEMPERATURE,
        max_tokens=CHAT_MAX_OUTPUT_TOKENS,
        max_continuations=CHAT_MAX_CONTINUATIONS,
    )
    if _is_ai_error_reply(reply):
        return {"ok": False, "msg": reply, "session_id": sid}

    session = append_chat_message(sid, "assistant", reply)
    return {
        "ok": True,
        "trading_day": day,
        "session": session,
        "sessions": list_chat_sessions(),
        "reply": reply,
        "model": model_label(),
    }