move record params to utils, use rapidjson
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@ -1,4 +1,3 @@
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import json
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import logging
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import logging
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import threading
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import threading
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import time
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import time
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@ -21,7 +20,7 @@ from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_seconds
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from freqtrade.exchange import timeframe_to_seconds
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from freqtrade.freqai.data_drawer import FreqaiDataDrawer
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from freqtrade.freqai.data_drawer import FreqaiDataDrawer
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.utils import plot_feature_importance
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from freqtrade.freqai.utils import plot_feature_importance, record_params
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from freqtrade.strategy.interface import IStrategy
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from freqtrade.strategy.interface import IStrategy
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@ -97,7 +96,7 @@ class IFreqaiModel(ABC):
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self._threads: List[threading.Thread] = []
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self._threads: List[threading.Thread] = []
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self._stop_event = threading.Event()
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self._stop_event = threading.Event()
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self.record_params()
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record_params(config, self.full_path)
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def __getstate__(self):
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def __getstate__(self):
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"""
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"""
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@ -536,24 +535,6 @@ class IFreqaiModel(ABC):
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)
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)
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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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def record_params(self) -> None:
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"""
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Records run params in the full path for reproducibility
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"""
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self.params_record_path = self.full_path / "run_params.json"
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run_params = {
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"freqai": self.config.get('freqai', {}),
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"timeframe": self.config.get('timeframe'),
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"stake_amount": self.config.get('stake_amount'),
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"stake_currency": self.config.get('stake_currency'),
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"max_open_trades": self.config.get('max_open_trades'),
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"pairs": self.config.get('exchange', {}).get('pair_whitelist')
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}
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with open(self.params_record_path, "w") as handle:
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json.dump(run_params, handle, indent=4)
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def extract_data_and_train_model(
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def extract_data_and_train_model(
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self,
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self,
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new_trained_timerange: TimeRange,
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new_trained_timerange: TimeRange,
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@ -1,9 +1,11 @@
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import logging
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import logging
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from datetime import datetime, timezone
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from datetime import datetime, timezone
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from typing import Any
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from pathlib import Path
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from typing import Any, Dict
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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import rapidjson
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from freqtrade.configuration import TimeRange
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from freqtrade.configuration import TimeRange
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from freqtrade.constants import Config
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from freqtrade.constants import Config
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@ -191,3 +193,28 @@ def plot_feature_importance(model: Any, pair: str, dk: FreqaiDataKitchen,
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fig.update_layout(title_text=f"Best and worst features by importance {pair}")
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fig.update_layout(title_text=f"Best and worst features by importance {pair}")
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label = label.replace('&', '').replace('%', '') # escape two FreqAI specific characters
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label = label.replace('&', '').replace('%', '') # escape two FreqAI specific characters
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store_plot_file(fig, f"{dk.model_filename}-{label}.html", dk.data_path)
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store_plot_file(fig, f"{dk.model_filename}-{label}.html", dk.data_path)
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def record_params(config: Dict[str, Any], full_path: Path) -> None:
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"""
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Records run params in the full path for reproducibility
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"""
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params_record_path = full_path / "run_params.json"
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run_params = {
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"freqai": config.get('freqai', {}),
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"timeframe": config.get('timeframe'),
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"stake_amount": config.get('stake_amount'),
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"stake_currency": config.get('stake_currency'),
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"max_open_trades": config.get('max_open_trades'),
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"pairs": config.get('exchange', {}).get('pair_whitelist')
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}
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with open(params_record_path, "w") as handle:
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rapidjson.dump(run_params, handle, indent=4, default=np_encoder,
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number_mode=rapidjson.NM_NATIVE)
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def np_encoder(self, object):
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if isinstance(object, np.generic):
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return object.item()
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