fix tests - update code to backtest with historic_predictions

freqtrade/freqai/data_drawer.py

@@ -3,7 +3,7 @@ import logging
 import re
 import shutil
 import threading
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from pathlib import Path
 from typing import Any, Dict, Tuple, TypedDict
 
@@ -714,3 +714,32 @@ class FreqaiDataDrawer:
                         ).reset_index(drop=True)
 
         return corr_dataframes, base_dataframes
+
+    def get_timerange_from_backtesting_live_dataframe(self) -> TimeRange:
+        """
+        Returns timerange information based on historic predictions file
+        :return: timerange calculated from saved live data
+        """
+        if not self.historic_predictions_path.is_file():
+            raise OperationalException(
+                'Historic predictions not found. Historic predictions data is required '
+                'to run backtest with the freqai-backtest-live-models option '
+                'and backtest_using_historic_predictions config option as true'
+            )
+
+        self.load_historic_predictions_from_disk()
+
+        all_pairs_end_dates = []
+        for pair in self.historic_predictions:
+            pair_historic_data = self.historic_predictions[pair]
+            all_pairs_end_dates.append(pair_historic_data.date_pred.max())
+
+        global_metadata = self.load_global_metadata_from_disk()
+        start_date = datetime.fromtimestamp(int(global_metadata["start_dry_live_date"]))
+        end_date = max(all_pairs_end_dates)
+        # add 1 day to string timerange to ensure BT module will load all dataframe data
+        end_date = end_date + timedelta(days=1)
+        backtesting_timerange = TimeRange(
+            'date', 'date', int(start_date.timestamp()), int(end_date.timestamp())
+        )
+        return backtesting_timerange