Merge branch 'develop' into backtest_live_models
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@@ -7,7 +7,7 @@ from collections import deque
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from datetime import datetime, timezone
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from pathlib import Path
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from threading import Lock
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from typing import Any, Dict, List, Tuple
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from typing import Any, Dict, List, Literal, Tuple
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import numpy as np
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import pandas as pd
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@@ -148,7 +148,7 @@ class IFreqaiModel(ABC):
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dataframe = dk.remove_features_from_df(dk.return_dataframe)
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self.clean_up()
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if self.live:
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self.inference_timer('stop')
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self.inference_timer('stop', metadata["pair"])
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return dataframe
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def clean_up(self):
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@@ -217,12 +217,14 @@ class IFreqaiModel(ABC):
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logger.warning(f"Training {pair} raised exception {msg.__class__.__name__}. "
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f"Message: {msg}, skipping.")
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self.train_timer('stop')
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self.train_timer('stop', pair)
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# only rotate the queue after the first has been trained.
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self.train_queue.rotate(-1)
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self.dd.save_historic_predictions_to_disk()
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if self.freqai_info.get('write_metrics_to_disk', False):
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self.dd.save_metric_tracker_to_disk()
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def start_backtesting(
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self, dataframe: DataFrame, metadata: dict, dk: FreqaiDataKitchen
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@@ -677,7 +679,7 @@ class IFreqaiModel(ABC):
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return
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def inference_timer(self, do='start'):
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def inference_timer(self, do: Literal['start', 'stop'] = 'start', pair: str = ''):
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"""
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Timer designed to track the cumulative time spent in FreqAI for one pass through
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the whitelist. This will check if the time spent is more than 1/4 the time
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@@ -688,7 +690,10 @@ class IFreqaiModel(ABC):
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self.begin_time = time.time()
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elif do == 'stop':
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end = time.time()
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self.inference_time += (end - self.begin_time)
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time_spent = (end - self.begin_time)
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if self.freqai_info.get('write_metrics_to_disk', False):
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self.dd.update_metric_tracker('inference_time', time_spent, pair)
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self.inference_time += time_spent
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if self.pair_it == self.total_pairs:
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logger.info(
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f'Total time spent inferencing pairlist {self.inference_time:.2f} seconds')
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@@ -699,7 +704,7 @@ class IFreqaiModel(ABC):
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self.inference_time = 0
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return
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def train_timer(self, do='start'):
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def train_timer(self, do: Literal['start', 'stop'] = 'start', pair: str = ''):
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"""
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Timer designed to track the cumulative time spent training the full pairlist in
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FreqAI.
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@@ -709,7 +714,11 @@ class IFreqaiModel(ABC):
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self.begin_time_train = time.time()
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elif do == 'stop':
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end = time.time()
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self.train_time += (end - self.begin_time_train)
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time_spent = (end - self.begin_time_train)
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if self.freqai_info.get('write_metrics_to_disk', False):
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self.dd.collect_metrics(time_spent, pair)
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self.train_time += time_spent
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if self.pair_it_train == self.total_pairs:
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logger.info(
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f'Total time spent training pairlist {self.train_time:.2f} seconds')
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