fix lock bug, update docstring
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@@ -38,8 +38,7 @@ class FreqaiDataDrawer:
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"""
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Class aimed at holding all pair models/info in memory for better inferencing/retrainig/saving
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/loading to/from disk.
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This object remains persistent throughout live/dry, unlike FreqaiDataKitchen, which is
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reinstantiated for each coin.
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This object remains persistent throughout live/dry.
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Record of contribution:
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FreqAI was developed by a group of individuals who all contributed specific skillsets to the
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@@ -56,7 +55,7 @@ class FreqaiDataDrawer:
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Beta testing and bug reporting:
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@bloodhunter4rc, Salah Lamkadem @ikonx, @ken11o2, @longyu, @paranoidandy, @smidelis, @smarm
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Juha Nykänen @suikula, Wagner Costa @wagnercosta
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Juha Nykänen @suikula, Wagner Costa @wagnercosta, Johan Vlugt @Jooopieeert
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"""
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def __init__(self, full_path: Path, config: dict, follow_mode: bool = False):
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@@ -85,6 +84,7 @@ class FreqaiDataDrawer:
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self.load_historic_predictions_from_disk()
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self.training_queue: Dict[str, int] = {}
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self.history_lock = threading.Lock()
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self.save_lock = threading.Lock()
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self.old_DBSCAN_eps: Dict[str, float] = {}
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self.empty_pair_dict: pair_info = {
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"model_filename": "", "trained_timestamp": 0,
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@@ -145,9 +145,10 @@ class FreqaiDataDrawer:
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"""
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Save data drawer full of all pair model metadata in present model folder.
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"""
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with open(self.pair_dictionary_path, 'w') as fp:
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rapidjson.dump(self.pair_dict, fp, default=self.np_encoder,
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number_mode=rapidjson.NM_NATIVE)
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with self.save_lock:
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with open(self.pair_dictionary_path, 'w') as fp:
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rapidjson.dump(self.pair_dict, fp, default=self.np_encoder,
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number_mode=rapidjson.NM_NATIVE)
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def save_follower_dict_to_disk(self):
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"""
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