Dinger
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"""
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Python 策略脚本（on_init / on_bar + ctx.buy/sell/close_position）运行时。
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与回测逻辑对齐，供 TradingExecutor 实盘逐根 K 线调用。
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"""
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from __future__ import annotations
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from typing import Any, Callable, Dict, List, Optional, Tuple
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import numpy as np
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import pandas as pd
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from app.utils.logger import get_logger
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logger = get_logger(__name__)
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class ScriptBar(dict):
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def __getattr__(self, name: str) -> Any:
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try:
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return self[name]
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except KeyError as exc:
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raise AttributeError(name) from exc
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class ScriptPosition(dict):
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def __init__(self):
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super().__init__()
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self.clear_position()
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def __getattr__(self, name: str) -> Any:
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try:
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return self[name]
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except KeyError as exc:
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raise AttributeError(name) from exc
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def __bool__(self) -> bool:
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return bool(self.get('side')) and float(self.get('size') or 0) > 0
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def __int__(self) -> int:
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return int(self.get('direction') or 0)
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def __float__(self) -> float:
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return float(self.get('direction') or 0)
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def __eq__(self, other: Any) -> bool:
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try:
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return int(self) == int(other)
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except Exception:
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return dict.__eq__(self, other)
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def __lt__(self, other: Any) -> bool:
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return int(self) < int(other)
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def __le__(self, other: Any) -> bool:
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return int(self) <= int(other)
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def __gt__(self, other: Any) -> bool:
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return int(self) > int(other)
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def __ge__(self, other: Any) -> bool:
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return int(self) >= int(other)
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def clear_position(self) -> None:
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self.clear()
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self.update({
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'side': '',
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'size': 0.0,
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'entry_price': 0.0,
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'direction': 0,
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'amount': 0.0,
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})
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def open_position(self, side: str, entry_price: float, amount: float) -> None:
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direction = 1 if side == 'long' else (-1 if side == 'short' else 0)
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size = float(amount or 0.0)
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price = float(entry_price or 0.0)
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self.clear()
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self.update({
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'side': side,
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'size': size,
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'entry_price': price,
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'direction': direction,
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'amount': size,
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})
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def add_position(self, entry_price: float, amount: float) -> None:
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extra = float(amount or 0.0)
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if extra <= 0:
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return
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current_size = float(self.get('size') or 0.0)
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current_price = float(self.get('entry_price') or 0.0)
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next_size = current_size + extra
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next_price = float(entry_price or current_price or 0.0)
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if current_size > 0 and current_price > 0 and next_size > 0:
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next_price = ((current_price * current_size) + (float(entry_price or current_price) * extra)) / next_size
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self['size'] = next_size
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self['amount'] = next_size
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self['entry_price'] = next_price
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class StrategyScriptContext:
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"""与回测 ScriptBacktestContext 行为一致，供实盘按根推进。"""
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def __init__(self, bars_df: pd.DataFrame, initial_balance: float):
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self._bars_df = bars_df
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self._params: Dict[str, Any] = {}
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self._orders: List[Dict[str, Any]] = []
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self._logs: List[str] = []
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self.current_index = -1
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self.position = ScriptPosition()
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self.balance = float(initial_balance)
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self.equity = float(initial_balance)
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def param(self, name: str, default: Any = None) -> Any:
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if name not in self._params:
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self._params[name] = default
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return self._params[name]
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def bars(self, n: int = 1):
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start = max(0, self.current_index - int(n) + 1)
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out = []
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for _, row in self._bars_df.iloc[start:self.current_index + 1].iterrows():
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out.append(ScriptBar(
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open=float(row.get('open') or 0),
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high=float(row.get('high') or 0),
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low=float(row.get('low') or 0),
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close=float(row.get('close') or 0),
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volume=float(row.get('volume') or 0),
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timestamp=row.get('time')
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))
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return out
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def log(self, message: Any):
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self._logs.append(str(message))
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def buy(self, price: Any = None, amount: Any = None):
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self._orders.append({'action': 'buy', 'price': price, 'amount': amount})
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def sell(self, price: Any = None, amount: Any = None):
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self._orders.append({'action': 'sell', 'price': price, 'amount': amount})
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def close_position(self):
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self._orders.append({'action': 'close'})
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def compile_strategy_script_handlers(code: str) -> Tuple[Optional[Callable], Optional[Callable]]:
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"""
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校验并编译策略脚本，返回 (on_init, on_bar)。
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on_bar 不可缺省；on_init 可选。
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"""
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if not code or not str(code).strip():
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raise ValueError("Strategy script is empty")
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import builtins
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def safe_import(name, *args, **kwargs):
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allowed_modules = ['numpy', 'pandas', 'math', 'json', 'datetime', 'time']
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if name in allowed_modules or name.split('.')[0] in allowed_modules:
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return builtins.__import__(name, *args, **kwargs)
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raise ImportError(f"Import not allowed: {name}")
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safe_builtins = {k: getattr(builtins, k) for k in dir(builtins)
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if not k.startswith('_') and k not in ['eval', 'exec', 'compile', 'open', 'input', 'help', 'exit', 'quit']}
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safe_builtins['__import__'] = safe_import
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exec_env = {
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'__builtins__': safe_builtins,
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'np': np,
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'pd': pd,
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}
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from app.utils.safe_exec import validate_code_safety, safe_exec_code
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is_safe, error_msg = validate_code_safety(code)
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if not is_safe:
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raise ValueError(f"Code contains unsafe operations: {error_msg}")
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exec_result = safe_exec_code(
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code=code,
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exec_globals=exec_env,
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exec_locals=exec_env,
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timeout=60
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)
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if not exec_result['success']:
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raise RuntimeError(f"Code execution failed: {exec_result.get('error')}")
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on_init = exec_env.get('on_init')
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on_bar = exec_env.get('on_bar')
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if not callable(on_bar):
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raise ValueError("Strategy script must define on_bar(ctx, bar)")
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if on_init is not None and not callable(on_init):
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on_init = None
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return (on_init if callable(on_init) else None), on_bar
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