Make skript handle case of verdi page failing gracefully

wsgi.py

@@ -8,7 +8,7 @@ import matplotlib.pyplot as plt
 import matplotlib.ticker as mtick
 import numpy as np
 import pandas as pd
-from flask import Flask, render_template, request
+from flask import Flask, Markup, render_template, request
 from flask_caching import Cache
 
 from download_digital import construct_dataframe, get_bez_data
@@ -166,16 +166,6 @@ def plot(
 def tables(
     url: str = "https://beschaeftigtenbefragung.verdi.de/",
 ):
-    df, df_state = get_tables(url)
-
-    df = df.sort_values(
-        ["Digitale Befragung", "Bundesland", "Bezirk"], ascending=[False, True, True]
-    )
-
-    df_state = df_state.sort_values("Landesbezirk")
-
-    output_str = []
-
     def _print_as_html(df: pd.DataFrame):
         df = df.astype({"Digitale Befragung": "Int32"})
         with pd.option_context("display.max_rows", None):
@@ -206,15 +196,44 @@ def tables(
             output_str.append(tfoot)
             output_str.append(table[idx:])
 
+    output_str = []
+
+    try:
+        df, df_state = get_tables(url)
+
+        df = df.sort_values(
+            ["Digitale Befragung", "Bundesland", "Bezirk"],
+            ascending=[False, True, True],
+        )
+
+        df_state = df_state.sort_values("Landesbezirk")
+
+        image = plot(df_state)
+        timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    except Exception:
+        last_file = sorted(Path("data").iterdir())[-1]
+        key = last_file.name[:10]
+
+        with (Path("data") / f"{key}_data.ods").open("rb") as ff:
+            df = pd.read_excel(ff, sheet_name="digital").astype(
+                {"Digitale Befragung": "Int32"}
+            )
+        with (Path("data") / f"{key}_state_data.ods").open("rb") as ff:
+            df_state = pd.read_excel(ff, sheet_name="digital").astype(
+                {"Digitale Befragung": "Int32"}
+            )
+
+        image = plot()
+        timestamp = Markup(f'<font color="red">{key} 10:00:00</font>')
+
     _print_as_html(df_state)
     _print_as_html(df)
 
-    image = plot(df_state, plot_all=True)
-
     return render_template(
         "base.html",
         tables="\n".join(output_str),
-        timestamp=datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+        timestamp=timestamp,
         image=image,
     )