reduce number of pair_dict lookups, remove coin_first

This commit is contained in:
robcaulk
2022-07-26 15:58:40 +02:00
parent fb4e8430cd
commit ad25a4cb56
3 changed files with 15 additions and 17 deletions

View File

@@ -166,7 +166,7 @@ class FreqaiDataDrawer:
if isinstance(object, np.generic):
return object.item()
def get_pair_dict_info(self, pair: str) -> Tuple[str, int, bool, bool]:
def get_pair_dict_info(self, pair: str) -> Tuple[str, int, bool]:
"""
Locate and load existing model metadata from persistent storage. If not located,
create a new one and append the current pair to it and prepare it for its first
@@ -175,23 +175,20 @@ class FreqaiDataDrawer:
:return:
model_filename: str = unique filename used for loading persistent objects from disk
trained_timestamp: int = the last time the coin was trained
coin_first: bool = If the coin is fresh without metadata
return_null_array: bool = Follower could not find pair metadata
"""
pair_in_dict = self.pair_dict.get(pair)
pair_dict = self.pair_dict.get(pair)
data_path_set = self.pair_dict.get(pair, {}).get("data_path", None)
return_null_array = False
if pair_in_dict:
model_filename = self.pair_dict[pair]["model_filename"]
trained_timestamp = self.pair_dict[pair]["trained_timestamp"]
coin_first = self.pair_dict[pair]["first"]
if pair_dict:
model_filename = pair_dict["model_filename"]
trained_timestamp = pair_dict["trained_timestamp"]
elif not self.follow_mode:
self.pair_dict[pair] = {}
model_filename = self.pair_dict[pair]["model_filename"] = ""
coin_first = self.pair_dict[pair]["first"] = True
trained_timestamp = self.pair_dict[pair]["trained_timestamp"] = 0
self.pair_dict[pair]["priority"] = len(self.pair_dict)
pair_dict = self.pair_dict[pair] = {}
model_filename = pair_dict["model_filename"] = ""
trained_timestamp = pair_dict["trained_timestamp"] = 0
pair_dict["priority"] = len(self.pair_dict)
if not data_path_set and self.follow_mode:
logger.warning(
@@ -199,9 +196,11 @@ class FreqaiDataDrawer:
f"pair_dictionary at path {self.full_path}, sending null values "
"back to strategy."
)
trained_timestamp = 0
model_filename = ''
return_null_array = True
return model_filename, trained_timestamp, coin_first, return_null_array
return model_filename, trained_timestamp, return_null_array
def set_pair_dict_info(self, metadata: dict) -> None:
pair_in_dict = self.pair_dict.get(metadata["pair"])