feat: prettify date column

app.py

@@ -54,7 +54,33 @@ def make_df_columns_readable(df: Optional[pd.DataFrame], is_tournament: bool) ->
     if df is None:
         return None
 
-    if not is_tournament:
+    nat_to_none = lambda x: None if x == "NaT" else x
+    if is_tournament:
+        if "tournament_start_date" in df.columns and "tournament_end_date" in df.columns:
+            df['tournament_start_date'] = df['tournament_start_date'].dt.date.astype(str).apply(nat_to_none)
+            df['tournament_end_date'] = df['tournament_end_date'].dt.date.astype(str).apply(nat_to_none)
+
+            def create_date(tournament_start_date, tournament_end_date):
+                missing_start_date = tournament_start_date is None
+                missing_end_date = tournament_end_date is None
+                if not missing_start_date and not missing_end_date:
+                    if tournament_start_date is not tournament_end_date:
+                        return ' - '.join((tournament_start_date, tournament_end_date))
+                    else:
+                        return tournament_start_date
+                else:
+                    return tournament_start_date if missing_end_date else tournament_end_date
+
+            df["date"] = df.apply(lambda row: create_date(row['tournament_start_date'], row['tournament_end_date']), axis=1)
+            df = df.drop(columns=["tournament_start_date", "tournament_end_date"])
+
+            # Move date to the front.
+            columns = list(df.columns)
+            columns.insert(0, columns.pop(columns.index("date")))
+            df = df.loc[:, columns]
+    else:
+        if "event_date" in df.columns:
+            df['event_date'] = df['event_date'].dt.date.astype(str).apply(nat_to_none)
         df = df.rename(columns={"league_name": "league"})
 
     df = df.rename(columns=lambda c: " ".join(c.capitalize().split("_")))