106 lines
4.0 KiB
Python
106 lines
4.0 KiB
Python
from __future__ import annotations
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import json
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from crypto_spot_bot.dashboard import _compact_markets
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from crypto_spot_bot.dashboard import _apply_fast_trading
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from crypto_spot_bot.dashboard import _safe_config
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from crypto_spot_bot.dashboard import WEB_INDEX
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from crypto_spot_bot.storage import Storage
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def test_apply_fast_trading_updates_runtime_and_env(make_settings, tmp_path) -> None:
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settings = make_settings(tmp_path, fast_trading_enabled=False)
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settings.env_file_path.write_text("FAST_TRADING_ENABLED=false\n", encoding="utf-8")
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storage = Storage(settings.database_path)
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env_persisted = _apply_fast_trading(settings, storage, True)
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assert env_persisted is True
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assert settings.fast_trading_enabled is True
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assert storage.get_runtime("fast_trading_enabled") is True
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assert "FAST_TRADING_ENABLED=true" in settings.env_file_path.read_text(encoding="utf-8")
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def test_safe_config_summarizes_torch_forecast_artifact(make_settings, tmp_path) -> None:
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artifact_path = tmp_path / "lstm_forecaster.json"
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artifact_path.write_text(
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json.dumps(
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{
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"type": "pytorch_recurrent_forecaster",
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"created_at": "2026-06-20T18:15:05+00:00",
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"symbols": {
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"BTCUSDT": {"model": "torch_lstm"},
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"ETHUSDT": {"model": "torch_gru"},
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},
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}
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),
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encoding="utf-8",
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)
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settings = make_settings(tmp_path, time_series_lstm_model_path=artifact_path)
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config = _safe_config(settings)
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assert config["time_series_probe_enabled"] is True
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assert config["time_series_probe_min_edge_percent"] == 0.02
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assert config["time_series_probe_min_probability_up"] == 0.55
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assert config["time_series_probe_size_multiplier"] == 0.40
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assert config["time_series_rebound_fallback_enabled"] is True
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assert config["time_series_fallback_mode"] == "trend_macd"
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assert config["market_observation_enabled"] is True
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assert config["market_observation_sample_seconds"] == 30.0
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assert config["time_series_model_artifact"] == {
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"available": True,
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"type": "pytorch_recurrent_forecaster",
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"label": "PyTorch LSTM/GRU",
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"created_at": "2026-06-20T18:15:05+00:00",
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"symbol_count": 2,
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"models": ["PyTorch GRU", "PyTorch LSTM"],
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"feature_count": 1,
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"target_horizon": 0,
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"direct_horizon": False,
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}
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def test_web_ui_assets_are_available() -> None:
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html = WEB_INDEX.read_text(encoding="utf-8")
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assert "TradeBot — панель управления" in html
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assert "/assets/dashboard.css" in html
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assert "/assets/dashboard.js" in html
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assert "/web-api/dashboard/snapshot" in WEB_INDEX.with_name("dashboard.js").read_text(
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encoding="utf-8"
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)
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def test_compact_markets_keeps_dashboard_fields_and_limits_candles() -> None:
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candles = [{"timestamp": index, "close": 100 + index, "open": 1} for index in range(60)]
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compact = _compact_markets(
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{
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"symbols": ["BTCUSDT"],
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"ws_connected": True,
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"rest_error_count": 2,
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"markets": [
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{
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"ticker": {"symbol": "BTCUSDT", "last_price": 160},
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"candles": candles,
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"forecast": {"expected_return_percent": 0.4},
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"shadow_forecast": {"expected_return_percent": 0.5},
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"orderbook": {"spread_bps": 1.2},
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"quality": {"status": "ok"},
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"instrument": {"symbol": "BTCUSDT"},
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}
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],
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}
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)
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assert compact["ws_connected"] is True
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assert compact["rest_error_count"] == 2
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assert compact["markets"][0]["ticker"]["symbol"] == "BTCUSDT"
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assert len(compact["markets"][0]["sparkline"]) == 48
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assert compact["markets"][0]["sparkline"][0] == {"timestamp": 12, "close": 112}
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assert "instrument" not in compact["markets"][0]
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assert "orderbook" not in compact["markets"][0]
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assert "shadow_forecast" not in compact["markets"][0]
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