handle float type on contact_all collection

src/person_name/contact_manager.py

@@ -1,4 +1,5 @@
 import datetime
+import math
 import random
 from pathlib import Path
 
@@ -71,7 +72,7 @@ def write_new_contacts_to_excel(valid_contacts: list, file_name=str(datetime.dat
     row = 0
     col = 0
     # Create a workbook and add a worksheet.
-    workbook = xlsxwriter.Workbook('contact_list_{}.xlsx'.format(file_name))
+    workbook = xlsxwriter.Workbook('contact_list_{}.xlsx'.format(file_name), {'nan_inf_to_errors': True})
     header_data = ['name', 'phone', 'passport', 'email', 'store', 'serial', 'ip_country', 'ua',
                    'resident_card_number', 'source_from']
     worksheet = workbook.add_worksheet()
@@ -80,6 +81,27 @@ def write_new_contacts_to_excel(valid_contacts: list, file_name=str(datetime.dat
     for col_num, data in enumerate(header_data):
         worksheet.write(row, col_num, data, header_format)
     row = row + 1
+    
+    def safe_write(row_num, col_num, value):
+        """Écrire une valeur en la rendant vide si elle est NaN ou INF"""
+        try:
+            # Vérifier si c'est une chaîne contenant nan ou inf (case insensitive)
+            if isinstance(value, str):
+                if value.lower() in ['nan', 'inf', '-inf'] or 'nan' in value.lower() or 'inf' in value.lower():
+                    worksheet.write(row_num, col_num, "")
+                else:
+                    worksheet.write(row_num, col_num, value)
+            # Vérifier si c'est un nombre et si c'est NaN ou INF
+            elif isinstance(value, (int, float)):
+                if math.isnan(value) or math.isinf(value):
+                    worksheet.write(row_num, col_num, "")
+                else:
+                    worksheet.write(row_num, col_num, value)
+            else:
+                worksheet.write(row_num, col_num, value if value is not None else "")
+        except (TypeError, ValueError):
+            worksheet.write(row_num, col_num, "")
+    
     for info in valid_contacts:
         # Iterate over the data and write it out row by row.
         worksheet.write(row, col, "{} {}".format(info.last_name, info.first_name))
@@ -89,7 +111,7 @@ def write_new_contacts_to_excel(valid_contacts: list, file_name=str(datetime.dat
         worksheet.write(row, col + 4, info.store)
         worksheet.write(row, col + 5, info.serial)
         worksheet.write(row, col + 6, info.ip_country)
-        worksheet.write(row, col + 7, info.ua)
+        safe_write(row, col + 7, info.ua)
         worksheet.write(row, col + 8, info.resident_card_number)
         worksheet.write(row, col + 9, info.source_from)
         row += 1
@@ -97,7 +119,7 @@ def write_new_contacts_to_excel(valid_contacts: list, file_name=str(datetime.dat
 
 
 def generate_valid_contact_list_for_day(segment_number=1):
-    _collection_name = "2025-08-14"
+    _collection_name = "2026-03-26"
     _valid_contact_list = MONGO_STORE_MANAGER.get_all_successful_items_for_one_day(_collection_name)
     _all_contacts = MONGO_STORE_MANAGER.get_all_contacts_to_book()
     _contact_to_save = []
@@ -112,7 +134,8 @@ def generate_valid_contact_list_for_day(segment_number=1):
                 _contact.passport = str(_true_contact.resident_card_number)[:9]
                 _contact.first_name = _true_contact.first_name
                 _contact.resident_card_number = str(_true_contact.resident_card_number)[:9]
-                if _true_contact.source_from is not None and len(_true_contact.source_from) > 0:
+                print("{}:{}".format(_true_contact.mail, _true_contact.source_from))
+                if isinstance(_true_contact.source_from, str) and _true_contact.source_from is not None and len(_true_contact.source_from) > 0:
                     print(_true_contact.source_from)
                     _contact.source_from = _true_contact.source_from
                 else: