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catch errors occuring on background thread, and make sure to keep the ball rolling. Improve pair retraining queue.

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robcaulk
2022-05-28 18:26:19 +02:00
parent e54614fa2f
commit 83dd453723
3 changed files with 31 additions and 22 deletions
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18
freqtrade/freqai/data_drawer.py
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@@ -28,7 +28,7 @@ class FreqaiDataDrawer:
self.full_path = full_path
self.load_drawer_from_disk()
self.training_queue: Dict[str, int] = {}
self.create_training_queue(pair_whitelist)
# self.create_training_queue(pair_whitelist)
def load_drawer_from_disk(self):
exists = Path(self.full_path / str('pair_dictionary.json')).resolve().exists()
@@ -58,7 +58,6 @@ class FreqaiDataDrawer:
model_filename = self.pair_dict[metadata['pair']]['model_filename'] = ''
coin_first = self.pair_dict[metadata['pair']]['first'] = True
trained_timestamp = self.pair_dict[metadata['pair']]['trained_timestamp'] = 0
self.pair_dict[metadata['pair']]['priority'] = 1
return model_filename, trained_timestamp, coin_first
@@ -71,17 +70,16 @@ class FreqaiDataDrawer:
self.pair_dict[metadata['pair']]['model_filename'] = ''
self.pair_dict[metadata['pair']]['first'] = True
self.pair_dict[metadata['pair']]['trained_timestamp'] = 0
self.pair_dict[metadata['pair']]['priority'] = 1
self.pair_dict[metadata['pair']]['priority'] = len(self.pair_dict)
return
def create_training_queue(self, pairs: list) -> None:
for i, pair in enumerate(pairs):
self.training_queue[pair] = i + 1
# def create_training_queue(self, pairs: list) -> None:
# for i, pair in enumerate(pairs):
# self.training_queue[pair] = i + 1
def pair_to_end_of_training_queue(self, pair: str) -> None:
# march all pairs up in the queue
for p in self.training_queue:
self.training_queue[p] -= 1
for p in self.pair_dict:
self.pair_dict[p]['priority'] -= 1
# send pair to end of queue
self.training_queue[pair] = len(self.training_queue)
self.pair_dict[pair]['priority'] = len(self.pair_dict)