Use max index instead of curr_date

wsgi.py

@@ -82,11 +82,12 @@ def create_plot_df(
         data_dict[key] = df["Digitale Befragung"]
 
     df = pd.DataFrame(data=data_dict).T
+    max_date = df.index.max()
 
     df.index = df.index.astype("datetime64[ns]") + pd.DateOffset(hours=10)
 
     df = df.reindex(
-        pd.date_range(start="2023-08-15", end=curr_datetime) + pd.DateOffset(hours=10)
+        pd.date_range(start="2023-08-15", end=max_date) + pd.DateOffset(hours=10)
     )
 
     if current_df is not None:
@@ -104,16 +105,20 @@ def create_plot_df(
 
 
 def plot(
-    curr_datetime,
     df: pd.DataFrame,
     annotate_current: bool = False,
     total_targets: tuple[int, ...] = (1500, 2500, 3500),
     alpha: float | None = None,
     landesbez_str: str | None = None,
     fix_lims: bool = True,
+    max_shading_date = None,
 ) -> str:
     fig = plt.figure(dpi=300)
 
+    if fix_lims:
+        for total_target in total_targets:
+            plt.axhline(y=total_target, color="#48a9be", linestyle="--")
+
     for bez in landesbez_str:
         series = df.sum(axis=1) if bez is None else df[bez]
         plot_df = series.to_frame("Digitale Befragung").replace(0, np.nan)
@@ -193,15 +198,12 @@ def plot(
     sec_ax.set_ylabel("# Teilnahmen [% Erfolg]")
     sec_ax.yaxis.set_major_formatter(mtick.PercentFormatter())
 
-    if fix_lims:
-        for total_target in total_targets:
-            plt.axhline(y=total_target, color="#48a9be", linestyle="--")
-
     xlim = plt.xlim()
 
     # fill weekends
-    max_date = curr_datetime + datetime.timedelta(days=3)
-    days = pd.date_range(start="2023-08-14", end=max_date)
+    if max_shading_date is None:
+        max_shading_date = df.index.max() + datetime.timedelta(days=3)
+    days = pd.date_range(start="2023-08-14", end=max_shading_date)
     for idx, day in enumerate(days[:-1]):
         if day.weekday() >= 5:
             plt.gca().axvspan(days[idx], days[idx + 1], alpha=0.2, color="gray")
@@ -262,7 +264,6 @@ def create_fig(
         ]
     return (
         plot(
-            curr_datetime,
             plot_df,
             annotate_current=annotate_current,
             landesbez_str=landesbez_strs,