updated process data

process.py

@@ -12,6 +12,10 @@ def process_data(files_mindbody, files_medserv, tollerance, progress=gr.Progress
     # Split 'Client' names into first name and last name components for both DataFrames
     medserv[['Last Name', 'First Name']] = medserv['Client'].str.split(',', expand=True)
     mindbody[['Last Name', 'First Name']] = mindbody['Client'].str.split(',', expand=True)
+
+    mindbody['DOS'] = pd.to_datetime(mindbody['DOS'], format='%d/%m/%Y')
+    medserv['DOS'] = pd.to_datetime(medserv['DOS'], format='%d/%m/%Y')
+    
     # Initialize an empty list to store unmatched rows
     unmatched_rows = []
 
@@ -31,8 +35,8 @@ def process_data(files_mindbody, files_medserv, tollerance, progress=gr.Progress
         
         # Filter medserv based on the date range and name criteria
         matches = medserv[((medserv['DOS'].dt.date.isin(date_range)) & 
-                        ((medserv['First Name'] == first_name) | 
-                            (medserv['Last Name'] == last_name)))]
+                        ((medserv['First Name'].str.lower() == first_name.lower()) | 
+                            (medserv['Last Name'].str.lower() == last_name.lower())))]
         
         # If no match is found, append the row to the unmatched_rows list
         if matches.empty: