fix config saving bug, assign priorities to pairs in scanning, sleep the scanning loop to reduce CPU usage
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68bafa9517
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@ -4,6 +4,7 @@ import gc
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import logging
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import logging
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import shutil
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import shutil
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import threading
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import threading
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import time
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from abc import ABC, abstractmethod
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from abc import ABC, abstractmethod
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from pathlib import Path
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from pathlib import Path
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from typing import Any, Dict, Tuple
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from typing import Any, Dict, Tuple
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@ -90,10 +91,6 @@ class IFreqaiModel(ABC):
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self.live = strategy.dp.runmode in (RunMode.DRY_RUN, RunMode.LIVE)
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self.live = strategy.dp.runmode in (RunMode.DRY_RUN, RunMode.LIVE)
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self.data_drawer.set_pair_dict_info(metadata)
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self.data_drawer.set_pair_dict_info(metadata)
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# For live, we may be training new models on a separate thread while other pairs still need
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# to inference their historical models. Here we use a training queue system to handle this
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# and we keep the flag self.training_on_separate_threaad in the current object to help
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# determine what the current pair will do
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if self.live:
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if self.live:
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self.dh = FreqaiDataKitchen(self.config, self.data_drawer,
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self.dh = FreqaiDataKitchen(self.config, self.data_drawer,
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self.live, metadata["pair"])
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self.live, metadata["pair"])
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@ -122,16 +119,18 @@ class IFreqaiModel(ABC):
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strategy: IStrategy = The user defined strategy class
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strategy: IStrategy = The user defined strategy class
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"""
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"""
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while 1:
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while 1:
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time.sleep(1)
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for pair in self.config.get('exchange', {}).get('pair_whitelist'):
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for pair in self.config.get('exchange', {}).get('pair_whitelist'):
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if self.data_drawer.pair_dict[pair]['priority'] != 1:
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continue
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dh = FreqaiDataKitchen(self.config, self.data_drawer,
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self.live, pair)
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(model_filename,
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(model_filename,
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trained_timestamp,
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trained_timestamp,
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_, _) = self.data_drawer.get_pair_dict_info(pair)
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_, _) = self.data_drawer.get_pair_dict_info(pair)
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if self.data_drawer.pair_dict[pair]['priority'] != 1:
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continue
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dh = FreqaiDataKitchen(self.config, self.data_drawer,
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self.live, pair)
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file_exists = False
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file_exists = False
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dh.set_paths(pair, trained_timestamp)
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dh.set_paths(pair, trained_timestamp)
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@ -416,7 +415,7 @@ class IFreqaiModel(ABC):
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str(self.freqai_info.get('identifier')))
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str(self.freqai_info.get('identifier')))
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self.full_path.mkdir(parents=True, exist_ok=True)
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self.full_path.mkdir(parents=True, exist_ok=True)
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shutil.copy(self.config['config_files'][0], Path(self.full_path,
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shutil.copy(self.config['config_files'][0], Path(self.full_path,
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self.config['config_files'][0]))
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Path(self.config['config_files'][0]).name))
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def remove_features_from_df(self, dataframe: DataFrame) -> DataFrame:
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def remove_features_from_df(self, dataframe: DataFrame) -> DataFrame:
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"""
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"""
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@ -47,7 +47,7 @@ class FreqaiExampleStrategy(IStrategy):
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stoploss = -0.05
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stoploss = -0.05
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use_exit_signal = True
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use_exit_signal = True
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startup_candle_count: int = 300
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startup_candle_count: int = 300
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can_short = True
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can_short = False
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linear_roi_offset = DecimalParameter(
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linear_roi_offset = DecimalParameter(
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0.00, 0.02, default=0.005, space="sell", optimize=False, load=True
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0.00, 0.02, default=0.005, space="sell", optimize=False, load=True
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