WIP: erp5_payroll_l10n_fr: allow declaration of regularisations in CTPs

bt5/erp5_payroll_l10n_fr/SkinTemplateItem/portal_skins/erp5_payroll_l10n_fr/DSNMonthlyReport_makeReport.py

@@ -92,22 +92,38 @@ for collective_contract in collective_contract_list:
 
 # Generate aggregated contributions
 aggregated_social_contribution_dict = {}
+aggregated_social_regularisation_dict = {}
 social_contribution_organisation = None
 social_contribution_start_date = None
 social_contribution_stop_date = None
 for employee_result in paysheet_data_list:
   employee_ctp = employee_result['ctp']
-  for ctp_code in employee_ctp:
-    if social_contribution_organisation is None:
-      social_contribution_organisation = employee_ctp[ctp_code]['corporate_registration_code']
-      social_contribution_start_date = employee_ctp[ctp_code]['start_date']
-      social_contribution_stop_date = employee_ctp[ctp_code]['stop_date']
+  for key in employee_ctp:
+    try:
+      ctp_code, start_date, stop_date = key
+    except ValueError:
+      raise ValueError(key)
+    # If date is different, then it is a regularisation
+    if (declared_year, declared_month) != start_date[:2]:
+      aggregated_social_regularisation_dict.setdefault((start_date, stop_date), {})
+      if ctp_code not in aggregated_social_regularisation_dict[(start_date, stop_date)]:
+        aggregated_social_regularisation_dict[(start_date, stop_date)] = {ctp_code: employee_ctp[key].copy()}
+      else:
+        for summing_parameter in ('base', 'quantity'):
+          aggregated_social_regularisation_dict[(start_date, stop_date)][ctp_code][summing_parameter] = \
+            aggregated_social_regularisation_dict[(start_date, stop_date)][ctp_code][summing_parameter] + employee_ctp[key][summing_parameter]
+    # Otherwise normal case of declaration
+    else:
+      if social_contribution_organisation is None and 'corporate_registration_code' in employee_ctp[key]:
+        social_contribution_organisation = employee_ctp[key]['corporate_registration_code']
+        social_contribution_start_date = employee_ctp[key]['start_date']
+        social_contribution_stop_date = employee_ctp[key]['stop_date']
       if ctp_code not in aggregated_social_contribution_dict:
-      aggregated_social_contribution_dict[ctp_code] = employee_ctp[ctp_code].copy()
+        aggregated_social_contribution_dict[ctp_code] = employee_ctp[key].copy()
       else:
         for summing_parameter in ('base', 'quantity'):
           aggregated_social_contribution_dict[ctp_code][summing_parameter] = \
-          aggregated_social_contribution_dict[ctp_code][summing_parameter] + employee_ctp[ctp_code][summing_parameter]
+            aggregated_social_contribution_dict[ctp_code][summing_parameter] + employee_ctp[key][summing_parameter]
 
 # Find the payment transaction for the social contributions
 if len(payment_transaction_list):

bt5/erp5_payroll_l10n_fr/SkinTemplateItem/portal_skins/erp5_payroll_l10n_fr/PaySheetTransaction_getSocialContributionDict.py

@@ -150,16 +150,18 @@ for movement in context.PaySheetTransaction_getMovementList():
     continue
 
   contribution_set = set(movement.getBaseContributionValueList())
+  start_date = movement.getStartDate().parts()
+  stop_date = movement.getStopDate().parts()
 
   ctp_set = all_ctp_set.intersection(contribution_set)
   for category in ctp_set:
     category = category.getCodification()
     contribution_dict = makeCTPBlock(movement, category)
-    if category in result["ctp"]:
-      result['ctp'][category]['base'] = result['ctp'][category]['base'] + contribution_dict['base']
-      result['ctp'][category]['quantity'] = result['ctp'][category]['quantity'] + contribution_dict['quantity']
+    if (category, start_date, stop_date) in result["ctp"]:
+      result['ctp'][(category, start_date, stop_date)]['base'] = result['ctp'][(category, start_date, stop_date)]['base'] + contribution_dict['base']
+      result['ctp'][(category, start_date, stop_date)]['quantity'] = result['ctp'][(category, start_date, stop_date)]['quantity'] + contribution_dict['quantity']
     else:
-      result['ctp'][category] = contribution_dict
+      result['ctp'][(category, start_date, stop_date)] = contribution_dict
 
   taxable_base_set = all_taxable_base_set.intersection(contribution_set)
   for category in taxable_base_set:
@@ -246,7 +248,7 @@ if len(result['ctp']):
     raise AttributeError(context.getUrl())
   if year_to_date_gross_salary < 2.5 * minimum_salary * int(context.getStopDate().month()):
     category = '400D'
-    result['ctp'][category] = {
+    result['ctp'][(category, start_date, stop_date)] = {
       'code': category,
       'cap': ('921' if category[-1] == 'P' else '920'),
       'rate': '',