Codex
294 lines
12 KiB
Python
294 lines
12 KiB
Python
from __future__ import annotations
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import asyncio
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import json
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from dataclasses import asdict
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from datetime import datetime
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from typing import Any
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import websockets
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from crypto_spot_bot.bybit import BybitClient, Instrument, websocket_subscribe_message
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from crypto_spot_bot.config import Settings
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from crypto_spot_bot.data_quality import analyze_symbol_quality, market_quality_snapshot
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from crypto_spot_bot.indicators import add_indicators
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from crypto_spot_bot.models import Candle, Ticker, utc_now
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from crypto_spot_bot.storage import Storage
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POPULAR_FALLBACK = [
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"BTCUSDT",
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"ETHUSDT",
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"HYPEUSDT",
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"SOLUSDT",
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"XRPUSDT",
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"XPLUSDT",
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"WLDUSDT",
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"MNTUSDT",
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"HUSDT",
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"XAUTUSDT",
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"IPUSDT",
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"AAVEUSDT",
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]
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def _float(value: Any, default: float = 0.0) -> float:
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try:
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return float(value)
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except (TypeError, ValueError):
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return default
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class MarketData:
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def __init__(self, settings: Settings, client: BybitClient, storage: Storage):
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self.settings = settings
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self.client = client
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self.storage = storage
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self.symbols: list[str] = []
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self.instruments: dict[str, Instrument] = {}
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self.tickers: dict[str, Ticker] = {}
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self.candles: dict[str, list[Candle]] = {}
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self.trend_candles: dict[str, list[Candle]] = {}
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self.orderbook_top: dict[str, tuple[float, float]] = {}
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self.patterns: dict[str, dict[str, Any]] = {}
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self.forecasts: dict[str, dict[str, Any]] = {}
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self.last_rest_refresh_at: datetime | None = None
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self.last_ws_message_at: datetime | None = None
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self.ws_connected = False
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self._stop_event = asyncio.Event()
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async def bootstrap(self) -> None:
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self.instruments = await asyncio.to_thread(self.client.instruments)
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if self.settings.symbols:
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self.symbols = [
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symbol
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for symbol in self.settings.symbols
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if symbol in self.instruments and self.instruments[symbol].quote_coin == "USDT"
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]
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elif self.settings.auto_select_symbols:
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self.symbols = await asyncio.to_thread(
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self.client.popular_spot_symbols, self.settings.top_symbols_count
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)
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if not self.symbols:
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self.symbols = [
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symbol
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for symbol in POPULAR_FALLBACK[: self.settings.top_symbols_count]
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if symbol in self.instruments
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]
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self.storage.event("Торговые пары: " + ", ".join(self.symbols))
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await asyncio.to_thread(self.refresh_rest)
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def refresh_rest(self) -> None:
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ticker_map = {ticker.symbol: ticker for ticker in self.client.spot_tickers()}
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for symbol in self.symbols:
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ticker = ticker_map.get(symbol)
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if ticker:
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self.tickers[symbol] = ticker
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try:
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candles = self.client.klines(
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symbol=symbol,
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interval=self.settings.base_interval,
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limit=self.settings.kline_limit,
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)
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candles = _closed_candles(candles, self.settings.base_interval)
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add_indicators(candles)
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self.candles[symbol] = candles
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trend_candles = self.client.klines(
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symbol=symbol,
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interval=self.settings.trend_interval,
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limit=self.settings.trend_kline_limit,
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)
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trend_candles = _closed_candles(trend_candles, self.settings.trend_interval)
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add_indicators(trend_candles)
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self.trend_candles[symbol] = trend_candles
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bid, ask = self.client.orderbook_top(symbol)
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self.orderbook_top[symbol] = (bid, ask)
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if symbol in self.tickers:
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current = self.tickers[symbol]
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self.tickers[symbol] = Ticker(
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symbol=current.symbol,
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last_price=current.last_price,
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bid=bid or current.bid,
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ask=ask or current.ask,
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turnover_24h=current.turnover_24h,
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volume_24h=current.volume_24h,
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change_24h=current.change_24h,
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)
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except Exception as exc:
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self.storage.event(f"{symbol}: ошибка обновления REST данных: {exc}", "ERROR")
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self.last_rest_refresh_at = utc_now()
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async def websocket_loop(self) -> None:
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if not self.settings.websocket_enabled:
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return
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while not self._stop_event.is_set():
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try:
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async with websockets.connect(self.settings.websocket_url, ping_interval=20) as ws:
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self.ws_connected = True
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await ws.send(websocket_subscribe_message(self.symbols, self.settings.base_interval))
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self.storage.event("Поток данных Bybit подключен")
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async for raw in ws:
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self.last_ws_message_at = utc_now()
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self._handle_ws_message(raw)
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if self._stop_event.is_set():
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break
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except asyncio.CancelledError:
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raise
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except Exception as exc:
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self.ws_connected = False
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self.storage.event(f"Поток данных Bybit отключен: {exc}", "WARN")
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await asyncio.sleep(5)
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self.ws_connected = False
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def stop(self) -> None:
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self._stop_event.set()
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def reset_stop(self) -> None:
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if self._stop_event.is_set():
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self._stop_event = asyncio.Event()
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def _handle_ws_message(self, raw: str) -> None:
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try:
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message = json.loads(raw)
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except json.JSONDecodeError:
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return
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topic = str(message.get("topic", ""))
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data = message.get("data")
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if topic.startswith("tickers.") and isinstance(data, dict):
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self._handle_ticker(topic.split(".", 1)[1], data)
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elif topic.startswith("kline.") and isinstance(data, list):
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parts = topic.split(".")
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if len(parts) >= 3:
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self._handle_kline(parts[2], data)
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elif topic.startswith("orderbook.") and isinstance(data, dict):
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parts = topic.split(".")
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if len(parts) >= 3:
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self._handle_orderbook(parts[2], data)
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def _handle_ticker(self, symbol: str, data: dict[str, Any]) -> None:
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current = self.tickers.get(symbol)
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last_price = _float(data.get("lastPrice"), current.last_price if current else 0.0)
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if last_price <= 0:
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return
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self.tickers[symbol] = Ticker(
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symbol=symbol,
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last_price=last_price,
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bid=_float(data.get("bid1Price"), current.bid if current else 0.0),
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ask=_float(data.get("ask1Price"), current.ask if current else 0.0),
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turnover_24h=_float(data.get("turnover24h"), current.turnover_24h if current else 0.0),
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volume_24h=_float(data.get("volume24h"), current.volume_24h if current else 0.0),
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change_24h=_float(data.get("price24hPcnt")) * 100
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if data.get("price24hPcnt") is not None
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else (current.change_24h if current else 0.0),
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)
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def _handle_kline(self, symbol: str, rows: list[dict[str, Any]]) -> None:
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existing = self.candles.get(symbol, [])
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by_timestamp = {candle.timestamp: candle for candle in existing}
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for row in rows:
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start = int(row.get("start", 0))
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if start <= 0:
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continue
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if not _is_closed_kline_row(row, self.settings.base_interval):
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continue
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by_timestamp[start] = Candle(
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timestamp=start,
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open=_float(row.get("open")),
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high=_float(row.get("high")),
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low=_float(row.get("low")),
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close=_float(row.get("close")),
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volume=_float(row.get("volume")),
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turnover=_float(row.get("turnover")),
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)
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candles = sorted(by_timestamp.values(), key=lambda item: item.timestamp)
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candles = candles[-self.settings.kline_limit :]
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add_indicators(candles)
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self.candles[symbol] = candles
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def _handle_orderbook(self, symbol: str, data: dict[str, Any]) -> None:
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bids = data.get("b") or []
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asks = data.get("a") or []
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bid = _float(bids[0][0]) if bids else 0.0
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ask = _float(asks[0][0]) if asks else 0.0
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if bid > 0 and ask > 0:
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self.orderbook_top[symbol] = (bid, ask)
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current = self.tickers.get(symbol)
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if current:
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self.tickers[symbol] = Ticker(
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symbol=symbol,
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last_price=current.last_price,
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bid=bid,
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ask=ask,
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turnover_24h=current.turnover_24h,
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volume_24h=current.volume_24h,
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change_24h=current.change_24h,
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)
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def prices(self) -> dict[str, float]:
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return {symbol: ticker.last_price for symbol, ticker in self.tickers.items()}
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def snapshot(self) -> dict[str, Any]:
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return {
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"symbols": self.symbols,
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"ws_connected": self.ws_connected,
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"quality": market_quality_snapshot(
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symbols=self.symbols,
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candles_by_symbol=self.candles,
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tickers=self.tickers,
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interval=self.settings.base_interval,
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),
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"last_rest_refresh_at": self.last_rest_refresh_at.isoformat()
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if self.last_rest_refresh_at
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else None,
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"last_ws_message_at": self.last_ws_message_at.isoformat()
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if self.last_ws_message_at
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else None,
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"markets": [
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{
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"ticker": self.tickers[symbol].as_dict() if symbol in self.tickers else None,
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"candles": [candle.as_dict() for candle in self.candles.get(symbol, [])[-120:]],
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"trend_candles": [candle.as_dict() for candle in self.trend_candles.get(symbol, [])[-5:]],
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"pattern": self.patterns.get(symbol),
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"forecast": self.forecasts.get(symbol),
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"quality": analyze_symbol_quality(
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symbol=symbol,
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candles=self.candles.get(symbol, []),
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ticker=self.tickers.get(symbol),
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interval=self.settings.base_interval,
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),
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"instrument": asdict(self.instruments[symbol]) if symbol in self.instruments else None,
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}
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for symbol in self.symbols
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],
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}
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def _closed_candles(candles: list[Candle], interval: str, now_ms: int | None = None) -> list[Candle]:
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interval_ms = _interval_ms(interval)
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if interval_ms <= 0:
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return candles
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now_ms = now_ms if now_ms is not None else int(utc_now().timestamp() * 1000)
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return [candle for candle in candles if candle.timestamp + interval_ms <= now_ms]
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def _is_closed_kline_row(row: dict[str, Any], interval: str) -> bool:
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confirm = row.get("confirm")
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if isinstance(confirm, bool):
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return confirm
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start = int(row.get("start", 0) or 0)
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interval_ms = _interval_ms(interval)
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if start <= 0 or interval_ms <= 0:
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return True
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return start + interval_ms <= int(utc_now().timestamp() * 1000)
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def _interval_ms(interval: str) -> int:
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normalized = str(interval).strip().upper()
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if normalized == "D":
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return 24 * 60 * 60 * 1000
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if normalized == "W":
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return 7 * 24 * 60 * 60 * 1000
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if normalized.isdigit():
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return int(normalized) * 60 * 1000
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return 0
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