Stage 07.4.3.15 — Isolated debug runtime and debug auto screen

This commit is contained in:
2026-05-09 09:17:34 +03:00
parent df76490783
commit 71cf206e32
13 changed files with 1875 additions and 492 deletions

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from __future__ import annotations

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# app/src/trading/debug/execution.py
from __future__ import annotations
import math
from datetime import datetime
from src.integrations.exchange.service import ExchangeService
from src.trading.debug.state import DebugPositionState, DebugTradeState
from src.trading.execution.models import ExecutionDecision
class DebugExecutionEngine:
_size_precision = 5
def process(self, state: DebugTradeState) -> ExecutionDecision:
if state.status != "RUNNING":
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Execution доступен только в режиме RUNNING.",
)
self.update_unrealized_pnl(state)
risk_decision = self.risk_close_decision(state)
if risk_decision is not None:
return risk_decision
if state.decision_status != "READY" or not state.is_signal_ready:
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Сигнал ещё не готов к execution.",
)
if self._should_flip_position(state):
return self.flip_position(state)
if state.last_signal == "BUY":
return self.open_position_if_empty(state=state, side="LONG")
if state.last_signal == "SELL":
return self.open_position_if_empty(state=state, side="SHORT")
return ExecutionDecision("NONE", False, "[DEBUG] Нет торгового действия.")
def open_position_if_empty(
self,
*,
state: DebugTradeState,
side: str,
) -> ExecutionDecision:
if state.position.side != "NONE":
return ExecutionDecision("NONE", False, "[DEBUG] Позиция уже открыта.")
try:
entry_price = self._entry_price_for_side(state.symbol, side)
except Exception as exc:
return ExecutionDecision(
"NONE",
False,
f"[DEBUG] Не удалось получить цену входа: {exc}",
)
size = self.calculate_position_size(state, entry_price=entry_price)
if size <= 0:
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Позиция не открыта: невозможно рассчитать size.",
)
size = self.adjust_size_by_margin_limit(
state=state,
entry_price=entry_price,
size=size,
)
size = self._round_size(size)
if size <= 0:
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Позиция не открыта: итоговый size равен 0.",
)
now = self._now_time()
state.position = DebugPositionState(
side=side,
symbol=state.symbol,
entry_price=entry_price,
size=size,
leverage=state.leverage,
unrealized_pnl_usd=0.0,
opened_at=now,
updated_at=now,
)
return ExecutionDecision(
f"DEBUG_OPEN_{side}",
True,
f"[DEBUG] Paper позиция открыта: {side}.",
)
def flip_position(self, state: DebugTradeState) -> ExecutionDecision:
position = state.position
if position.side == "NONE":
return ExecutionDecision("NONE", False, "[DEBUG] Нет позиции для flip.")
new_side = self._target_side_from_signal(state.last_signal)
if new_side is None:
return ExecutionDecision("NONE", False, "[DEBUG] Нет направления для flip.")
try:
exit_price = self._exit_price_for_side(
position.symbol or state.symbol,
position.side,
)
new_entry_price = self._entry_price_for_side(state.symbol, new_side)
except Exception as exc:
return ExecutionDecision("NONE", False, f"[DEBUG] Ошибка цены для flip: {exc}")
pnl = self.calculate_pnl(state, exit_price)
new_size = self.calculate_position_size(state, entry_price=new_entry_price)
if new_size <= 0:
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Flip отменён: невозможно рассчитать new size.",
)
new_size = self.adjust_size_by_margin_limit(
state=state,
entry_price=new_entry_price,
size=new_size,
)
new_size = self._round_size(new_size)
if new_size <= 0:
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Flip отменён: итоговый new size равен 0.",
)
state.realized_pnl_usd += pnl
now = self._now_time()
old_side = position.side
state.position = DebugPositionState(
side=new_side,
symbol=state.symbol,
entry_price=new_entry_price,
size=new_size,
leverage=state.leverage,
unrealized_pnl_usd=0.0,
opened_at=now,
updated_at=now,
)
return ExecutionDecision(
f"DEBUG_FLIP_{old_side}_TO_{new_side}",
True,
f"[DEBUG] Flip выполнен: {old_side}{new_side}.",
)
def close_position(
self,
state: DebugTradeState,
*,
forced_reason: str | None = None,
) -> ExecutionDecision:
position = state.position
if position.side == "NONE":
return ExecutionDecision(
"NONE",
False,
"[DEBUG] Нет открытой позиции для закрытия.",
)
try:
exit_price = self._exit_price_for_side(
position.symbol or state.symbol,
position.side,
)
except Exception as exc:
return ExecutionDecision("NONE", False, f"[DEBUG] Ошибка цены закрытия: {exc}")
pnl = self.calculate_pnl(state, exit_price)
state.realized_pnl_usd += pnl
old_side = position.side
state.position = DebugPositionState()
action = f"DEBUG_CLOSE_{forced_reason}" if forced_reason else "DEBUG_CLOSE"
return ExecutionDecision(
action,
True,
f"[DEBUG] Позиция закрыта: {old_side}. PnL: {pnl:.4f}",
)
def risk_close_decision(self, state: DebugTradeState) -> ExecutionDecision | None:
position = state.position
if position.side == "NONE":
return None
try:
current_price = self._exit_price_for_side(
position.symbol or state.symbol,
position.side,
)
except Exception:
return None
price_move_percent = self.calculate_price_move_percent(state, current_price)
unrealized_pnl = self.calculate_pnl(state, current_price)
if self._is_max_loss_hit(state, unrealized_pnl):
return self.close_position(state, forced_reason="MAX_LOSS")
if self._is_stop_loss_hit(state, price_move_percent):
return self.close_position(state, forced_reason="STOP_LOSS")
if self._is_take_profit_hit(state, price_move_percent):
return self.close_position(state, forced_reason="TAKE_PROFIT")
return None
def update_unrealized_pnl(self, state: DebugTradeState) -> None:
position = state.position
if position.side == "NONE":
position.unrealized_pnl_usd = None
return
try:
current_price = self._exit_price_for_side(
position.symbol or state.symbol,
position.side,
)
except Exception:
return
position.unrealized_pnl_usd = self.calculate_pnl(state, current_price)
position.updated_at = self._now_time()
def calculate_position_size(
self,
state: DebugTradeState,
*,
entry_price: float | None = None,
) -> float:
if state.risk_percent is None or state.risk_percent <= 0:
return 0.0
if state.stop_loss_percent is None or state.stop_loss_percent <= 0:
return 0.0
price = entry_price
if price is None:
price = self._signal_entry_price(state)
if price <= 0:
return 0.0
target_risk_usd = state.allocated_balance_usd * (state.risk_percent / 100)
stop_loss_distance_usd = price * (state.stop_loss_percent / 100)
if stop_loss_distance_usd <= 0:
return 0.0
return self._round_size(target_risk_usd / stop_loss_distance_usd)
def adjust_size_by_margin_limit(
self,
*,
state: DebugTradeState,
entry_price: float,
size: float,
) -> float:
state.execution_block_reason = None
state.execution_size_adjustment_reason = None
max_percent = state.max_reserved_balance_percent
if max_percent is None or max_percent <= 0:
return self._round_size(size)
leverage = state.leverage or 1.0
if leverage <= 0 or entry_price <= 0:
state.execution_block_reason = "[DEBUG] Invalid leverage or entry price."
return 0.0
max_reserved_usd = state.allocated_balance_usd * (max_percent / 100)
max_notional_usd = max_reserved_usd * leverage
max_size = max_notional_usd / entry_price
if size <= max_size:
return self._round_size(size)
state.execution_size_adjustment_reason = "MARGIN_LIMIT"
return self._round_size(max_size)
def calculate_price_move_percent(
self,
state: DebugTradeState,
current_price: float,
) -> float:
position = state.position
entry = position.entry_price or 0.0
if entry <= 0:
return 0.0
if position.side == "LONG":
return round(((current_price - entry) / entry) * 100, 4)
if position.side == "SHORT":
return round(((entry - current_price) / entry) * 100, 4)
return 0.0
def calculate_pnl(self, state: DebugTradeState, current_price: float) -> float:
position = state.position
entry = position.entry_price or 0.0
size = position.size or 0.0
if position.side == "LONG":
return round((current_price - entry) * size, 4)
if position.side == "SHORT":
return round((entry - current_price) * size, 4)
return 0.0
def _should_flip_position(self, state: DebugTradeState) -> bool:
if state.position.side == "LONG" and state.last_signal == "SELL":
return True
if state.position.side == "SHORT" and state.last_signal == "BUY":
return True
return False
def _target_side_from_signal(self, signal: str | None) -> str | None:
if signal == "BUY":
return "LONG"
if signal == "SELL":
return "SHORT"
return None
def _is_stop_loss_hit(self, state: DebugTradeState, price_move_percent: float) -> bool:
if state.stop_loss_percent is None:
return False
return price_move_percent <= -abs(state.stop_loss_percent)
def _is_take_profit_hit(self, state: DebugTradeState, price_move_percent: float) -> bool:
if state.take_profit_percent is None:
return False
return price_move_percent >= abs(state.take_profit_percent)
def _is_max_loss_hit(self, state: DebugTradeState, unrealized_pnl: float) -> bool:
if state.max_loss_usd is None:
return False
return unrealized_pnl <= -abs(state.max_loss_usd)
def _signal_entry_price(self, state: DebugTradeState) -> float:
if state.last_signal == "BUY":
return self._entry_price_for_side(state.symbol, "LONG")
if state.last_signal == "SELL":
return self._entry_price_for_side(state.symbol, "SHORT")
return self._market_last_price(state.symbol)
def _entry_price_for_side(self, symbol: str, side: str) -> float:
snapshot = ExchangeService().get_fresh_market_snapshot(symbol)
if side == "LONG":
return self._snapshot_price(snapshot, "ask_price", "last_price")
if side == "SHORT":
return self._snapshot_price(snapshot, "bid_price", "last_price")
return self._snapshot_price(snapshot, "last_price")
def _exit_price_for_side(self, symbol: str, side: str) -> float:
snapshot = ExchangeService().get_fresh_market_snapshot(symbol)
if side == "LONG":
return self._snapshot_price(snapshot, "bid_price", "last_price")
if side == "SHORT":
return self._snapshot_price(snapshot, "ask_price", "last_price")
return self._snapshot_price(snapshot, "last_price")
def _market_last_price(self, symbol: str) -> float:
snapshot = ExchangeService().get_fresh_market_snapshot(symbol)
return self._snapshot_price(snapshot, "last_price")
def _snapshot_price(
self,
snapshot: dict[str, object],
primary_key: str,
fallback_key: str | None = None,
) -> float:
raw_price = snapshot.get(primary_key)
if raw_price is None and fallback_key is not None:
raw_price = snapshot.get(fallback_key)
if raw_price is None:
raise ValueError(f"Market snapshot price '{primary_key}' is missing.")
price = float(raw_price)
if price <= 0:
raise ValueError(f"Market snapshot price '{primary_key}' is invalid: {price}")
return price
def _round_size(self, size: float) -> float:
factor = 10 ** self._size_precision
return math.floor(float(size) * factor) / factor
def _now_time(self) -> str:
return datetime.now().strftime("%H:%M:%S")

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# app/src/trading/debug/runner.py
from __future__ import annotations
import asyncio
import time
from typing import Callable
from aiogram import Bot
from aiogram.exceptions import TelegramBadRequest, TelegramRetryAfter
from src.trading.debug.service import DebugTradeService
class DebugTradeRunner:
_task: asyncio.Task | None = None
_bot: Bot | None = None
_chat_id: int | None = None
_message_id: int | None = None
_render_text: Callable[[], str] | None = None
_render_markup: Callable[[], object] | None = None
_current_screen: str | None = None
_interval_seconds = 5
_last_text: str | None = None
_last_refresh_at: float = 0.0
_retry_after_until: float = 0.0
@classmethod
def register_screen(
cls,
*,
bot: Bot,
chat_id: int,
message_id: int,
render_text: Callable[[], str],
render_markup: Callable[[], object],
) -> None:
cls._bot = bot
cls._chat_id = chat_id
cls._message_id = message_id
cls._render_text = render_text
cls._render_markup = render_markup
cls._last_text = None
@classmethod
async def delete_registered_screen(
cls,
*,
bot: Bot,
chat_id: int,
) -> None:
if cls._chat_id is None or cls._message_id is None:
return
if cls._chat_id != chat_id:
return
try:
await bot.delete_message(
chat_id=cls._chat_id,
message_id=cls._message_id,
)
except Exception:
pass
cls._message_id = None
cls._render_text = None
cls._render_markup = None
cls._last_text = None
@classmethod
def set_current_screen(cls, screen: str) -> None:
cls._current_screen = screen
@classmethod
def start(cls) -> None:
state = DebugTradeService().get_state()
state.status = "RUNNING"
if cls._task is not None and not cls._task.done():
return
cls._task = asyncio.create_task(cls._worker())
@classmethod
def stop(cls) -> None:
if cls._task is None:
return
cls._task.cancel()
cls._task = None
@classmethod
async def _worker(cls) -> None:
service = DebugTradeService()
while True:
state = service.get_state()
if state.status == "OFF":
cls._task = None
break
service.process()
await cls.refresh_screen(force=False)
await asyncio.sleep(cls._interval_seconds)
@classmethod
async def refresh_screen(cls, *, force: bool = False) -> None:
if cls._current_screen != "debug_auto":
return
now = time.monotonic()
if now < cls._retry_after_until:
return
if not force and now - cls._last_refresh_at < cls._interval_seconds:
return
if not all(
[
cls._bot,
cls._chat_id,
cls._message_id,
cls._render_text,
cls._render_markup,
]
):
return
text = cls._render_text()
if text == cls._last_text:
return
try:
await cls._bot.edit_message_text(
chat_id=cls._chat_id,
message_id=cls._message_id,
text=text,
reply_markup=cls._render_markup(),
)
cls._last_text = text
cls._last_refresh_at = now
except TelegramRetryAfter as exc:
cls._retry_after_until = time.monotonic() + exc.retry_after + 5
except TelegramBadRequest as exc:
error_text = str(exc).lower()
if "message is not modified" in error_text:
cls._last_text = text
cls._last_refresh_at = now
return
if "message to edit not found" in error_text:
cls._message_id = None
cls._render_text = None
cls._render_markup = None
cls._last_text = None
return
except Exception:
pass

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# app/src/trading/debug/service.py
from __future__ import annotations
import time
from datetime import datetime
from src.core.config import load_settings
from src.trading.debug.execution import DebugExecutionEngine
from src.trading.debug.state import DebugPositionState, DebugTradeState
from src.trading.execution.models import ExecutionDecision
class DebugTradeService:
_state = DebugTradeState()
_confirm_repeats = 2
_ready_confidence = 0.3
def get_state(self) -> DebugTradeState:
if not self._state.symbol:
self._state.symbol = load_settings().default_symbol
return self._state
def reset(self) -> DebugTradeState:
state = self.get_state()
state.status = "RUNNING"
state.last_signal = "HOLD"
state.last_signal_confidence = 0.0
state.last_signal_repeat_count = 1
state.last_signal_reason = "[DEBUG] RESET HOLD"
state.signal_started_at = time.monotonic()
state.decision_status = "WAITING"
state.decision_reason = "[DEBUG] Reset."
state.is_signal_confirmed = False
state.is_signal_ready = False
state.execution_block_reason = None
state.execution_size_adjustment_reason = None
state.position = DebugPositionState()
return state
def stop(self) -> DebugTradeState:
state = self.get_state()
state.status = "OFF"
return state
def set_signal(
self,
*,
signal: str,
confidence: float = 0.0,
repeat_count: int = 1,
reason: str | None = None,
force_ready: bool = False,
) -> DebugTradeState:
state = self.get_state()
normalized_signal = signal.strip().upper()
if normalized_signal not in {"BUY", "SELL", "HOLD"}:
normalized_signal = "HOLD"
previous_signal = state.last_signal
state.status = "RUNNING"
state.last_signal = normalized_signal
state.last_signal_confidence = max(0.0, min(1.0, confidence))
state.last_signal_repeat_count = max(1, int(repeat_count))
state.last_signal_reason = reason or f"[DEBUG] SIGNAL {normalized_signal}"
if previous_signal != normalized_signal or state.signal_started_at is None:
state.signal_started_at = time.monotonic()
self._update_decision_state(state, force_ready=force_ready)
return state
def set_signal_duration(
self,
*,
signal: str,
seconds: int,
confidence: float = 0.0,
force_ready: bool = False,
) -> DebugTradeState:
repeat_count = max(1, int(max(0, seconds) / 5))
state = self.set_signal(
signal=signal,
confidence=confidence,
repeat_count=repeat_count,
reason=f"[DEBUG] {signal.upper()} {seconds}s",
force_ready=force_ready,
)
state.signal_started_at = time.monotonic() - max(0, seconds)
return state
def open_long(self) -> tuple[DebugTradeState, ExecutionDecision]:
state = self.set_signal(
signal="BUY",
confidence=0.95,
repeat_count=3,
reason="[DEBUG] OPEN LONG",
force_ready=True,
)
result = DebugExecutionEngine().process(state)
return state, result
def open_short(self) -> tuple[DebugTradeState, ExecutionDecision]:
state = self.set_signal(
signal="SELL",
confidence=0.95,
repeat_count=3,
reason="[DEBUG] OPEN SHORT",
force_ready=True,
)
result = DebugExecutionEngine().process(state)
return state, result
def flip(self) -> tuple[DebugTradeState, ExecutionDecision]:
state = self.get_state()
if state.position.side == "LONG":
target_signal = "SELL"
elif state.position.side == "SHORT":
target_signal = "BUY"
else:
return state, ExecutionDecision(
"NONE",
False,
"[DEBUG] Flip невозможен: нет открытой позиции.",
)
state = self.set_signal(
signal=target_signal,
confidence=0.95,
repeat_count=3,
reason="[DEBUG] AUTO FLIP",
force_ready=True,
)
result = DebugExecutionEngine().process(state)
return state, result
def close(self, *, reason: str = "DEBUG_CLOSE") -> tuple[DebugTradeState, ExecutionDecision]:
state = self.get_state()
result = DebugExecutionEngine().close_position(state, forced_reason=reason)
return state, result
def update_market(self) -> DebugTradeState:
state = self.get_state()
state.last_check_at = datetime.now().strftime("%H:%M:%S")
if state.status != "RUNNING":
return state
DebugExecutionEngine().update_unrealized_pnl(state)
return state
def process(self) -> tuple[DebugTradeState, ExecutionDecision]:
state = self.get_state()
state.last_check_at = datetime.now().strftime("%H:%M:%S")
result = DebugExecutionEngine().process(state)
return state, result
def _update_decision_state(
self,
state: DebugTradeState,
*,
force_ready: bool = False,
) -> None:
state.is_signal_confirmed = False
state.is_signal_ready = False
if state.last_signal == "HOLD":
state.decision_status = "WAITING"
state.decision_reason = "[DEBUG] Нет торгового направления."
return
if force_ready:
state.is_signal_confirmed = True
state.is_signal_ready = True
state.decision_status = "READY"
state.decision_reason = "[DEBUG] Signal forced READY."
return
if state.last_signal_repeat_count < self._confirm_repeats:
state.decision_status = "CONFIRMING"
state.decision_reason = (
f"[DEBUG] Сигнал {state.last_signal} подтверждается: "
f"{state.last_signal_repeat_count}/{self._confirm_repeats}."
)
return
state.is_signal_confirmed = True
if state.last_signal_confidence < self._ready_confidence:
state.decision_status = "BLOCKED"
state.decision_reason = (
f"[DEBUG] Confidence низкая: "
f"{state.last_signal_confidence:.2f} < {self._ready_confidence:.2f}."
)
return
state.is_signal_ready = True
state.decision_status = "READY"
state.decision_reason = "[DEBUG] Signal ready."

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# app/src/trading/debug/state.py
from __future__ import annotations
from dataclasses import dataclass, field
@dataclass(slots=True)
class DebugPositionState:
side: str = "NONE"
symbol: str = ""
entry_price: float | None = None
size: float | None = None
leverage: float | None = None
unrealized_pnl_usd: float | None = None
opened_at: str | None = None
updated_at: str | None = None
@dataclass(slots=True)
class DebugTradeState:
status: str = "OFF"
strategy: str | None = "TREND"
symbol: str = "BTC/USD_LEVERAGE"
allocated_balance_usd: float = 1000.0
realized_pnl_usd: float = 0.0
risk_percent: float | None = 1.0
leverage: float | None = 2.0
stop_loss_percent: float | None = 1.0
take_profit_percent: float | None = None
max_loss_usd: float | None = None
max_reserved_balance_percent: float | None = 50.0
last_signal: str | None = "HOLD"
last_signal_confidence: float = 0.0
last_signal_repeat_count: int = 0
last_signal_reason: str | None = None
signal_started_at: float | None = None
decision_status: str = "WAITING"
decision_reason: str | None = None
is_signal_confirmed: bool = False
is_signal_ready: bool = False
execution_block_reason: str | None = None
execution_size_adjustment_reason: str | None = None
position: DebugPositionState = field(default_factory=DebugPositionState)
last_check_at: str | None = None