User edition: prune docs, license gate, obfuscate core lib.
Keep deploy/basic docs only; integrate sq.bz121.com license client; encrypt strategy/trade/key_monitor/options/hedge_plan for release. Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
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@@ -1,136 +1,12 @@
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"""实盘人工下单:止盈止损模式(价格 / 百分比 / 固定盈亏比)."""
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from __future__ import annotations
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from typing import Any, Optional, Tuple
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MANUAL_FIXED_RR_DEFAULT = 1.5
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SLTP_MODE_PRICE = "price"
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SLTP_MODE_PCT = "pct"
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SLTP_MODE_FIXED_RR = "fixed_rr"
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OPEN_SLTP_MODES = frozenset({SLTP_MODE_PRICE, SLTP_MODE_PCT, SLTP_MODE_FIXED_RR})
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ENTRUST_SLTP_MODES = frozenset({SLTP_MODE_PRICE, SLTP_MODE_PCT})
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def normalize_open_sltp_mode(raw: Optional[str]) -> str:
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mode = (raw or SLTP_MODE_FIXED_RR).strip().lower()
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if mode in OPEN_SLTP_MODES:
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return mode
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return SLTP_MODE_PRICE
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def normalize_entrust_sltp_mode(raw: Optional[str]) -> str:
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mode = (raw or SLTP_MODE_PRICE).strip().lower()
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if mode in ENTRUST_SLTP_MODES:
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return mode
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return SLTP_MODE_PRICE
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def parse_fixed_rr(raw: Any, *, default: float = MANUAL_FIXED_RR_DEFAULT) -> float:
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try:
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v = float(raw)
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if v > 0:
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return v
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except (TypeError, ValueError):
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pass
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return float(default)
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def calc_tp_from_fixed_rr(
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direction: str,
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entry_price: float,
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stop_loss: float,
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rr_ratio: float,
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) -> float:
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entry = float(entry_price)
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sl = float(stop_loss)
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rr = float(rr_ratio)
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if entry <= 0 or sl <= 0 or rr <= 0:
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raise ValueError("固定盈亏比参数无效")
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side = (direction or "long").strip().lower()
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if side == "short":
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risk = sl - entry
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if risk <= 0:
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raise ValueError("止损方向不合法:做空时止损须高于入场价")
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return entry - risk * rr
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risk = entry - sl
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if risk <= 0:
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raise ValueError("止损方向不合法:做多时止损须低于入场价")
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return entry + risk * rr
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def _resolve_pct_sltp(direction: str, live_price: float, data: dict[str, Any]) -> Tuple[float, float]:
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sl_pct = float(data.get("sl_pct") or 0)
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tp_pct = float(data.get("tp_pct") or 0)
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if sl_pct <= 0 or tp_pct <= 0:
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raise ValueError("百分比止盈止损须为正数")
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sl_ratio = sl_pct / 100.0
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tp_ratio = tp_pct / 100.0
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entry = float(live_price)
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if (direction or "long").strip().lower() == "short":
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stop_loss = entry * (1 + sl_ratio)
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take_profit = entry * (1 - tp_ratio)
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else:
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stop_loss = entry * (1 - sl_ratio)
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take_profit = entry * (1 + tp_ratio)
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return stop_loss, take_profit
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def _resolve_price_sltp(
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data: dict[str, Any],
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*,
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fallback_sl: Optional[float] = None,
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fallback_tp: Optional[float] = None,
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require_tp: bool = True,
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) -> Tuple[float, float]:
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stop_loss = float(data.get("sl") or data.get("stop_loss") or 0)
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take_profit = float(data.get("tp") or data.get("take_profit") or data.get("tgt") or 0)
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if stop_loss <= 0 and fallback_sl is not None:
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stop_loss = float(fallback_sl)
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if take_profit <= 0 and fallback_tp is not None:
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take_profit = float(fallback_tp)
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if stop_loss <= 0:
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raise ValueError("止损价格须大于 0" if require_tp else "请填写止损价格")
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if require_tp and take_profit <= 0:
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raise ValueError("止盈止损价格须大于 0" if fallback_tp is None else "请填写止盈价格,或保留原计划止盈")
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return stop_loss, take_profit
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def resolve_open_sltp_prices(
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direction: str,
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live_price: float,
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sltp_mode: Optional[str],
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data: dict[str, Any],
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) -> Tuple[float, float]:
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"""新开仓 /add_order:支持 price,pct,fixed_rr."""
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mode = normalize_open_sltp_mode(sltp_mode)
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if mode == SLTP_MODE_PCT:
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return _resolve_pct_sltp(direction, live_price, data)
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if mode == SLTP_MODE_FIXED_RR:
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stop_loss, _ = _resolve_price_sltp(data, require_tp=False)
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rr = parse_fixed_rr(data.get("fixed_rr"))
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take_profit = calc_tp_from_fixed_rr(direction, live_price, stop_loss, rr)
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return stop_loss, take_profit
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return _resolve_price_sltp(data, require_tp=True)
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def resolve_entrust_sltp_prices(
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direction: str,
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live_price: float,
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sltp_mode: Optional[str],
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data: dict[str, Any],
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*,
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fallback_sl: Optional[float] = None,
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fallback_tp: Optional[float] = None,
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) -> Tuple[float, float]:
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"""持仓委托弹窗:仅 price / pct,不校验盈亏比."""
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mode = normalize_entrust_sltp_mode(sltp_mode)
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if mode == SLTP_MODE_PCT:
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return _resolve_pct_sltp(direction, live_price, data)
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return _resolve_price_sltp(
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data,
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fallback_sl=fallback_sl,
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fallback_tp=fallback_tp,
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require_tp=True,
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)
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# obfuscated module — do not edit
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import base64, marshal, zlib
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_B = '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'
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_K = '5eb9e6dda894c57a4e02d809ae440d49'
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def _d(b, k):
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raw = zlib.decompress(base64.b64decode(b))
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key = k.encode("utf-8") if isinstance(k, str) else k
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out = bytearray(len(raw))
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for i, c in enumerate(raw):
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out[i] = c ^ key[i % len(key)]
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return bytes(out)
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exec(marshal.loads(_d(_B, _K)), globals())
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