Simplify timerange handling

freqtrade/freqai/data_kitchen.py

@@ -432,9 +432,7 @@ class FreqaiDataKitchen:
             timerange_train.stopts = timerange_train.startts + train_period_days
 
             first = False
-            start = timerange_train.startdt
-            stop = timerange_train.stopdt
-            tr_training_list.append(start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d"))
+            tr_training_list.append(timerange_train.timerange_str)
             tr_training_list_timerange.append(copy.deepcopy(timerange_train))
 
             # associated backtest period
@@ -446,9 +444,7 @@ class FreqaiDataKitchen:
             if timerange_backtest.stopts > config_timerange.stopts:
                 timerange_backtest.stopts = config_timerange.stopts
 
-            start = timerange_backtest.startdt
-            stop = timerange_backtest.stopdt
-            tr_backtesting_list.append(start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d"))
+            tr_backtesting_list.append(timerange_backtest.timerange_str)
             tr_backtesting_list_timerange.append(copy.deepcopy(timerange_backtest))
 
             # ensure we are predicting on exactly same amount of data as requested by user defined
@@ -1055,9 +1051,7 @@ class FreqaiDataKitchen:
         backtest_timerange.startts = (
             backtest_timerange.startts - backtest_period_days * SECONDS_IN_DAY
         )
-        start = backtest_timerange.startdt
-        stop = backtest_timerange.stopdt
-        full_timerange = start.strftime("%Y%m%d") + "-" + stop.strftime("%Y%m%d")
+        full_timerange = backtest_timerange.timerange_str
         config_path = Path(self.config["config_files"][0])
 
         if not self.full_path.is_dir():

freqtrade/freqai/freqai_interface.py

@@ -13,7 +13,7 @@ from numpy.typing import NDArray
 from pandas import DataFrame
 
 from freqtrade.configuration import TimeRange
-from freqtrade.constants import DATETIME_PRINT_FORMAT, Config
+from freqtrade.constants import Config
 from freqtrade.enums import RunMode
 from freqtrade.exceptions import OperationalException
 from freqtrade.exchange import timeframe_to_seconds
@@ -788,14 +788,8 @@ class IFreqaiModel(ABC):
         :return: if the data exists or not
         """
         if self.config.get("freqai_backtest_live_models", False) and len(dataframe_backtest) == 0:
-            tr_backtest_startts_str = datetime.fromtimestamp(
-                                            tr_backtest.startts,
-                                            tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
-            tr_backtest_stopts_str = datetime.fromtimestamp(
-                                            tr_backtest.stopts,
-                                            tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
-            logger.info(f"No data found for pair {pair} from {tr_backtest_startts_str} "
-                        f" from {tr_backtest_startts_str} to {tr_backtest_stopts_str}. "
+            logger.info(f"No data found for pair {pair} from "
+                        f"from { tr_backtest.start_fmt} to {tr_backtest.stop_fmt}. "
                         "Probably more than one training within the same candle period.")
             return False
         return True
@@ -810,18 +804,11 @@ class IFreqaiModel(ABC):
         :param pair: the current pair
         :param total_trains: total trains (total number of slides for the sliding window)
         """
-        tr_train_startts_str = datetime.fromtimestamp(
-                                            tr_train.startts,
-                                            tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
-        tr_train_stopts_str = datetime.fromtimestamp(
-                                            tr_train.stopts,
-                                            tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)
-
         if not self.config.get("freqai_backtest_live_models", False):
             logger.info(
                 f"Training {pair}, {self.pair_it}/{self.total_pairs} pairs"
-                f" from {tr_train_startts_str} "
-                f"to {tr_train_stopts_str}, {train_it}/{total_trains} "
+                f" from {tr_train.start_fmt} "
+                f"to {tr_train.stop_fmt}, {train_it}/{total_trains} "
                 "trains"
             )
     # Following methods which are overridden by user made prediction models.

freqtrade/freqai/utils.py

@@ -230,5 +230,4 @@ def get_timerange_backtest_live_models(config: Config) -> str:
     dk = FreqaiDataKitchen(config)
     models_path = dk.get_full_models_path(config)
     timerange, _ = dk.get_timerange_and_assets_end_dates_from_ready_models(models_path)
-    tr = f"{timerange.startdt.strftime('%Y%m%d')}-{timerange.stopdt.strftime('%Y%m%d')}"
-    return tr
+    return timerange.timerange_str