From 689767e3cae43f9024ccdf9cb8e9be88c7c46c66 Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Sat, 28 Dec 2024 15:46:38 +0100
Subject: [PATCH] chore: rename response model attribute

---
 docs/strategy-callbacks.md              |  5 +++--
 freqtrade/rpc/api_server/api_schemas.py |  2 +-
 freqtrade/rpc/rpc.py                    | 12 ++++++------
 3 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/docs/strategy-callbacks.md b/docs/strategy-callbacks.md
index 0672c9c68..ebfc554d1 100644
--- a/docs/strategy-callbacks.md
+++ b/docs/strategy-callbacks.md
@@ -1109,10 +1109,11 @@ class AwesomeStrategy(IStrategy):
         :param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
         :return: List of AnnotationType objects
         """
+        annotations = []
         while start_dt < end_date:
             start_dt += timedelta(hours=1)
             if start_dt.hour in (8, 15):
-                mark_areas.append(
+                annotations.append(
                     {
                         "type": "area",
                         "label": "Trade open and close hours",
@@ -1123,6 +1124,6 @@ class AwesomeStrategy(IStrategy):
                     }
                 )
 
-        return mark_areas
+        return annotations
 
 ```
diff --git a/freqtrade/rpc/api_server/api_schemas.py b/freqtrade/rpc/api_server/api_schemas.py
index 207b383ce..48feec123 100644
--- a/freqtrade/rpc/api_server/api_schemas.py
+++ b/freqtrade/rpc/api_server/api_schemas.py
@@ -537,7 +537,7 @@ class PairHistory(BaseModel):
     columns: list[str]
     all_columns: list[str] = []
     data: SerializeAsAny[list[Any]]
-    mark_areas: list[AnnotationType] | None = None
+    annotations: list[AnnotationType] | None = None
     length: int
     buy_signals: int
     sell_signals: int
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index a3181e6c1..b5cdd3849 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -1300,7 +1300,7 @@ class RPC:
         dataframe: DataFrame,
         last_analyzed: datetime,
         selected_cols: list[str],
-        mark_areas: list[dict[str, Any]] = None,
+        annotations: list[dict[str, Any]] = None,
     ) -> dict[str, Any]:
         has_content = len(dataframe) != 0
         dataframe_columns = list(dataframe.columns)
@@ -1356,7 +1356,7 @@ class RPC:
             "data_start_ts": 0,
             "data_stop": "",
             "data_stop_ts": 0,
-            "mark_areas": mark_areas,
+            "annotations": annotations,
         }
         if has_content:
             res.update(
@@ -1375,7 +1375,7 @@ class RPC:
         """Analyzed dataframe in Dict form"""
 
         _data, last_analyzed = self.__rpc_analysed_dataframe_raw(pair, timeframe, limit)
-        mark_areas = self._freqtrade.strategy.ft_plot_annotations(pair=pair, dataframe=_data)
+        annotations = self._freqtrade.strategy.ft_plot_annotations(pair=pair, dataframe=_data)
 
         return RPC._convert_dataframe_to_dict(
             self._freqtrade.config["strategy"],
@@ -1384,7 +1384,7 @@ class RPC:
             _data,
             last_analyzed,
             selected_cols,
-            mark_areas,
+            annotations,
         )
 
     def __rpc_analysed_dataframe_raw(
@@ -1468,7 +1468,7 @@ class RPC:
 
         df_analyzed = strategy.analyze_ticker(_data[pair], {"pair": pair})
         df_analyzed = trim_dataframe(df_analyzed, timerange_parsed, startup_candles=startup_candles)
-        mark_areas = strategy.ft_plot_annotations(pair=pair, dataframe=df_analyzed)
+        annotations = strategy.ft_plot_annotations(pair=pair, dataframe=df_analyzed)
 
         return RPC._convert_dataframe_to_dict(
             strategy.get_strategy_name(),
@@ -1477,7 +1477,7 @@ class RPC:
             df_analyzed.copy(),
             dt_now(),
             selected_cols,
-            mark_areas,
+            annotations,
         )
 
     def _rpc_plot_config(self) -> dict[str, Any]: