"""Market regime research agent."""

from __future__ import annotations

from typing import Any


def build_market_view(market_temp: Any, strategy_profile: dict | None = None) -> dict:
    temp = float(getattr(market_temp, "temperature", 0) or 0)
    up = int(getattr(market_temp, "up_count", 0) or 0)
    down = int(getattr(market_temp, "down_count", 0) or 0)
    limit_up = int(getattr(market_temp, "limit_up_count", 0) or 0)
    limit_down = int(getattr(market_temp, "limit_down_count", 0) or 0)
    breadth_total = max(up + down, 1)
    up_ratio = up / breadth_total

    if temp >= 70 and limit_up >= 60:
        regime = "bullish_mainline"
        summary = "市场情绪偏强，主线进攻窗口打开。"
    elif temp >= 55 and up_ratio >= 0.52:
        regime = "bullish_rotation"
        summary = "市场偏强但仍需确认主线持续性，适合围绕前排轮动。"
    elif temp >= 40:
        regime = "range_rotation"
        summary = "市场震荡轮动，优先等待回踩和承接确认。"
    elif limit_down > max(limit_up, 1):
        regime = "risk_off"
        summary = "市场风险偏好较弱，优先防守和降低出手频率。"
    else:
        regime = "defensive_watch"
        summary = "市场温度偏低，保留观察，不主动扩大仓位。"

    confidence = min(0.95, max(0.45, abs(temp - 50) / 60 + abs(up_ratio - 0.5) + 0.45))
    stance = (strategy_profile or {}).get("market_stance") or ""
    if stance:
        summary = f"{summary}{stance}策略生效。"

    return {
        "regime": regime,
        "confidence": round(confidence, 2),
        "summary": summary,
        "temperature": round(temp, 1),
        "up_count": up,
        "down_count": down,
        "limit_up_count": limit_up,
        "limit_down_count": limit_down,
        "source": getattr(market_temp, "source", "snapshot"),
        "data_status": getattr(market_temp, "data_status", "fresh"),
        "source_detail": getattr(market_temp, "source_detail", ""),
        "limit_counts_reliable": bool(getattr(market_temp, "limit_counts_reliable", False)),
    }