Use main exchange instead of creating a separate instance.
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20b4134787
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@ -482,7 +482,6 @@ class Exchange:
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def reload_markets(self) -> None:
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"""Reload markets both sync and async if refresh interval has passed """
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asyncio.set_event_loop(self.loop)
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# Check whether markets have to be reloaded
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if (self._last_markets_refresh > 0) and (
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self._last_markets_refresh + self.markets_refresh_interval
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@ -17,9 +17,9 @@ from sklearn.model_selection import train_test_split
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from sklearn.neighbors import NearestNeighbors
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from freqtrade.configuration import TimeRange
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.data.history.history_utils import refresh_backtest_ohlcv_data
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from freqtrade.exceptions import OperationalException
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from freqtrade.resolvers import ExchangeResolver
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from freqtrade.strategy.interface import IStrategy
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@ -895,22 +895,20 @@ class FreqaiDataKitchen:
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self.model_filename = f"cb_{coin.lower()}_{int(trained_timerange.stopts)}"
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def download_all_data_for_training(self, timerange: TimeRange) -> None:
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def download_all_data_for_training(self, timerange: TimeRange, dp: DataProvider) -> None:
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"""
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Called only once upon start of bot to download the necessary data for
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populating indicators and training the model.
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:params:
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timerange: TimeRange = The full data timerange for populating the indicators
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and training the model.
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:param timerange: TimeRange = The full data timerange for populating the indicators
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and training the model.
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:param dp: DataProvider instance attached to the strategy
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"""
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exchange = ExchangeResolver.load_exchange(
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self.config["exchange"]["name"], self.config, validate=False, load_leverage_tiers=False
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)
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new_pairs_days = int((timerange.stopts - timerange.startts) / SECONDS_IN_DAY)
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if not dp._exchange:
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# Not realistic - this is only called in live mode.
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raise OperationalException("Dataprovider did not have an exchange attached.")
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refresh_backtest_ohlcv_data(
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exchange,
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dp._exchange,
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pairs=self.all_pairs,
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timeframes=self.freqai_config["feature_parameters"].get("include_timeframes"),
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datadir=self.config["datadir"],
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@ -922,8 +920,6 @@ class FreqaiDataKitchen:
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prepend=self.config.get("prepend_data", False),
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)
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exchange.close()
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def set_all_pairs(self) -> None:
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self.all_pairs = copy.deepcopy(
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@ -273,7 +273,7 @@ class IFreqaiModel(ABC):
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"corr_pairlist, this may take a while if you do not have the "
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"data saved"
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)
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dk.download_all_data_for_training(data_load_timerange)
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dk.download_all_data_for_training(data_load_timerange, strategy.dp)
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self.dd.load_all_pair_histories(data_load_timerange, dk)
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if not self.scanning:
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@ -16,6 +16,7 @@ def is_arm() -> bool:
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machine = platform.machine()
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return "arm" in machine or "aarch64" in machine
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def test_train_model_in_series_LightGBM(mocker, freqai_conf):
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freqai_conf.update({"timerange": "20180110-20180130"})
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