Fix fallback

wsgi.py

@@ -113,7 +113,10 @@ def plot(
     fix_lims: bool = True,
     max_shading_date=None,
 ) -> str:
-    fig = plt.figure(dpi=300)
+    fig = plt.figure(dpi=300, figsize=(8.5, 5))
+
+    target_time = pd.Timestamp("2023-10-01")
+    plt.axvline(x=target_time, color="tab:green", linestyle=":")
 
     if fix_lims:
         for total_target in total_targets:
@@ -173,7 +176,7 @@ def plot(
         idx = np.argmin(nearest_target)
 
         ceil_val = max(max_val, total_targets[idx])
-        plt.ylim(0, ceil_val * 1.025)
+        plt.ylim(0, ceil_val * 1.04)
     plt.legend()
 
     # use timezone offset to center tick labels
@@ -202,14 +205,14 @@ def plot(
 
     # fill weekends
     if max_shading_date is None:
-        max_shading_date = df.index.max() + datetime.timedelta(days=3)
+        max_shading_date = df.index.max() + datetime.timedelta(days=4)
     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")
 
     # reset xlim
-    plt.xlim(xlim)
+    plt.xlim((xlim[0], pd.Timestamp("2023-10-02")))
 
     plt.tight_layout()
 
@@ -251,7 +254,7 @@ def create_fig(
                 {"Digitale Befragung": "Int32"}
             )
 
-        plot_df = create_plot_df(curr_datetime)
+        plot_df = create_plot_df(curr_datetime, df_state)
         annotate_current = False
         timestamp = Markup(f'<font color="red">{key} 10:00:00</font>')