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siloqy/prod/clean_arch/violet/exchange_leverage.py

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"""VIOLET L3 exchange leverage wrapper.
Dual-leverage doctrine:
- internal conviction leverage sizes quantity
- exchange leverage is derived at the venue boundary
This module is a typed wrapper around the authoritative BingX mapping in
``prod/bingx/leverage.py``. It must stay bit-identical to the production
functions and exists so V4 can consume the derived exchange leverage with a
traceable boundary model.
References:
- ``prod/docs/FRACTIONAL_LEVERAGE_TO_BINGX_FIX.md``
- ``prod/docs/VIOLET_V3_FINDINGS.md`` §2
"""
from __future__ import annotations
from typing import Annotated, Any
from pydantic import Field
from .domain import StrictModel, typed
from prod.bingx import leverage as bingx_leverage
CONVICTION_MIN = bingx_leverage.CONVICTION_MIN
CONVICTION_MAX = bingx_leverage.CONVICTION_MAX
EXCHANGE_LEV_MIN = bingx_leverage.EXCHANGE_LEV_MIN
EXCHANGE_LEV_MAX = bingx_leverage.EXCHANGE_LEV_MAX
LEVERAGE_MAPPING_RULE = bingx_leverage.LEVERAGE_MAPPING_RULE
ExchangeLeverage = Annotated[int, Field(ge=1)]
__all__ = [
"CONVICTION_MIN",
"CONVICTION_MAX",
"EXCHANGE_LEV_MIN",
"EXCHANGE_LEV_MAX",
"LEVERAGE_MAPPING_RULE",
"ExchangeLeverage",
"ExchangeLeverageDecision",
"VioletExchangeLeverage",
]
class ExchangeLeverageDecision(StrictModel):
"""Traceable exchange-leverage mapping decision."""
# Plain float (allow_inf_nan poison guard only) so the trace records the ACTUAL
# input faithfully — incl. out-of-domain negatives (which leverage.py clamps
# internally) rather than masking them by clamping the trace to 0 (review fix).
internal_conviction: float = Field(allow_inf_nan=False)
target_exchange_leverage: float = Field(allow_inf_nan=False)
exchange_leverage: ExchangeLeverage
exchange_min: int
exchange_max: int
class VioletExchangeLeverage:
"""Typed wrapper around ``prod.bingx.leverage``."""
def __init__(self, *, exchange_min: int = EXCHANGE_LEV_MIN, exchange_max: int = EXCHANGE_LEV_MAX):
self.exchange_min = int(exchange_min)
self.exchange_max = int(exchange_max)
self._mod = self._import_leverage()
def _import_leverage(self) -> Any:
return bingx_leverage
@typed
def map_target(self, internal_conviction: float) -> float:
return self._mod.map_internal_conviction_to_exchange_leverage_target(
internal_conviction,
exchange_min=self.exchange_min,
exchange_max=self.exchange_max,
)
@typed
def normalize(self, leverage: float) -> int:
return self._mod.normalize_bingx_leverage_value(
leverage,
exchange_min=self.exchange_min,
exchange_max=self.exchange_max,
)
@typed
def to_exchange(self, internal_conviction: float) -> ExchangeLeverageDecision:
target = self.map_target(internal_conviction)
exchange = self._mod.map_internal_conviction_to_exchange_leverage(
internal_conviction,
exchange_min=self.exchange_min,
exchange_max=self.exchange_max,
)
return ExchangeLeverageDecision(
internal_conviction=float(internal_conviction),
target_exchange_leverage=target,
exchange_leverage=exchange,
exchange_min=self.exchange_min,
exchange_max=self.exchange_max,
)