Update app.py

app.py

@@ -93,14 +93,14 @@ def period_to_date(period):
     datetime_ref_date = datetime(2024, 12, 1)
     
     # Sequential period numbers scenario (1 up to 118 for December 2024)
-    if period <= 118:
+    if period <= 119:
         # Calculate difference in months from December 2024
-        months_diff = 118 - period
+        months_diff = 119 - period
         date = datetime_ref_date - timedelta(days=months_diff * 30)  # Rough approximation
     # Datetime-like integers scenario
     else:
         # Calculate difference in periods from the reference period and convert to date
-        periods_diff = 118 - (period * (118/datetime_ref_period))
+        periods_diff = 119 - (period * (119/datetime_ref_period))
         date = datetime_ref_date - timedelta(days=periods_diff * 30)
         
     # Format and return the date
@@ -122,7 +122,7 @@ if not filtered_df.empty:
     lines = data_string.split('\n')
 
     # Iterate through the lines and extract the values
-    for line in lines[:-2]:  # Skip the last two lines which might not contain forecast data
+    for line in lines[:-1]:  # Skip the last two lines which might not contain forecast data
         period, value = line.split()
         num_float = float(value)
         monetary_value = f'R$ {num_float:,.2f}'  # Adding commas for thousands separator