"""
Python 策略脚本（on_init / on_bar + ctx.buy/sell/close_position）运行时。
与回测逻辑对齐，供 TradingExecutor 实盘逐根 K 线调用。
"""

from __future__ import annotations

from typing import Any, Callable, Dict, List, Optional, Tuple

import numpy as np
import pandas as pd

from app.utils.logger import get_logger

logger = get_logger(__name__)


class ScriptBar(dict):
    def __getattr__(self, name: str) -> Any:
        try:
            return self[name]
        except KeyError as exc:
            raise AttributeError(name) from exc


class ScriptPosition(dict):
    def __init__(self):
        super().__init__()
        self.clear_position()

    def __getattr__(self, name: str) -> Any:
        try:
            return self[name]
        except KeyError as exc:
            raise AttributeError(name) from exc

    def __bool__(self) -> bool:
        return bool(self.get("side")) and float(self.get("size") or 0) > 0

    def __int__(self) -> int:
        return int(self.get("direction") or 0)

    def __float__(self) -> float:
        return float(self.get("direction") or 0)

    def __eq__(self, other: Any) -> bool:
        try:
            return int(self) == int(other)
        except Exception:
            return dict.__eq__(self, other)

    def __lt__(self, other: Any) -> bool:
        return int(self) < int(other)

    def __le__(self, other: Any) -> bool:
        return int(self) <= int(other)

    def __gt__(self, other: Any) -> bool:
        return int(self) > int(other)

    def __ge__(self, other: Any) -> bool:
        return int(self) >= int(other)

    def clear_position(self) -> None:
        self.clear()
        self.update(
            {
                "side": "",
                "size": 0.0,
                "entry_price": 0.0,
                "direction": 0,
                "amount": 0.0,
            }
        )

    def open_position(self, side: str, entry_price: float, amount: float) -> None:
        direction = 1 if side == "long" else (-1 if side == "short" else 0)
        size = float(amount or 0.0)
        price = float(entry_price or 0.0)
        self.clear()
        self.update(
            {
                "side": side,
                "size": size,
                "entry_price": price,
                "direction": direction,
                "amount": size,
            }
        )

    def add_position(self, entry_price: float, amount: float) -> None:
        extra = float(amount or 0.0)
        if extra <= 0:
            return
        current_size = float(self.get("size") or 0.0)
        current_price = float(self.get("entry_price") or 0.0)
        next_size = current_size + extra
        next_price = float(entry_price or current_price or 0.0)
        if current_size > 0 and current_price > 0 and next_size > 0:
            next_price = ((current_price * current_size) + (float(entry_price or current_price) * extra)) / next_size
        self["size"] = next_size
        self["amount"] = next_size
        self["entry_price"] = next_price


class StrategyScriptContext:
    """与回测 ScriptBacktestContext 行为一致，供实盘按根推进。"""

    def __init__(self, bars_df: pd.DataFrame, initial_balance: float):
        self._bars_df = bars_df
        self._params: Dict[str, Any] = {}
        self._orders: List[Dict[str, Any]] = []
        self._logs: List[str] = []
        self.current_index = -1
        self.position = ScriptPosition()
        self.balance = float(initial_balance)
        self.equity = float(initial_balance)

    def param(self, name: str, default: Any = None) -> Any:
        if name not in self._params:
            self._params[name] = default
        return self._params[name]

    def bars(self, n: int = 1):
        start = max(0, self.current_index - int(n) + 1)
        out = []
        for _, row in self._bars_df.iloc[start : self.current_index + 1].iterrows():
            out.append(
                ScriptBar(
                    open=float(row.get("open") or 0),
                    high=float(row.get("high") or 0),
                    low=float(row.get("low") or 0),
                    close=float(row.get("close") or 0),
                    volume=float(row.get("volume") or 0),
                    timestamp=row.get("time"),
                )
            )
        return out

    def log(self, message: Any):
        self._logs.append(str(message))

    def buy(self, price: Any = None, amount: Any = None):
        self._orders.append({"action": "buy", "price": price, "amount": amount})

    def sell(self, price: Any = None, amount: Any = None):
        self._orders.append({"action": "sell", "price": price, "amount": amount})

    def close_position(self):
        self._orders.append({"action": "close"})


def compile_strategy_script_handlers(code: str) -> Tuple[Optional[Callable], Optional[Callable]]:
    """
    校验并编译策略脚本，返回 (on_init, on_bar)。
    on_bar 不可缺省；on_init 可选。
    """
    if not code or not str(code).strip():
        raise ValueError("Strategy script is empty")

    import builtins

    def safe_import(name, *args, **kwargs):
        allowed_modules = ["numpy", "pandas", "math", "json", "datetime", "time"]
        if name in allowed_modules or name.split(".")[0] in allowed_modules:
            return builtins.__import__(name, *args, **kwargs)
        raise ImportError(f"Import not allowed: {name}")

    safe_builtins = {
        k: getattr(builtins, k)
        for k in dir(builtins)
        if not k.startswith("_") and k not in ["eval", "exec", "compile", "open", "input", "help", "exit", "quit"]
    }
    safe_builtins["__import__"] = safe_import

    exec_env = {
        "__builtins__": safe_builtins,
        "np": np,
        "pd": pd,
    }

    from app.utils.safe_exec import safe_exec_code, validate_code_safety

    is_safe, error_msg = validate_code_safety(code)
    if not is_safe:
        raise ValueError(f"Code contains unsafe operations: {error_msg}")

    exec_result = safe_exec_code(code=code, exec_globals=exec_env, exec_locals=exec_env, timeout=60)
    if not exec_result["success"]:
        raise RuntimeError(f"Code execution failed: {exec_result.get('error')}")

    on_init = exec_env.get("on_init")
    on_bar = exec_env.get("on_bar")
    if not callable(on_bar):
        raise ValueError("Strategy script must define on_bar(ctx, bar)")
    if on_init is not None and not callable(on_init):
        on_init = None
    return (on_init if callable(on_init) else None), on_bar