feat: auto-populate hissə_2 with compensation data from payroll

Refactored payroll data fetch into shared fetch_payroll_data() used by
both hissə_1 and hissə_2. hissə_2 shows employees with məzuniyyət
kompensasiyası, with il from date_of_joining year.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

taxes_az/taxes_az/doctype/single_declaration_related_to_salaried_and_non_salaried_work/single_declaration_related_to_salaried_and_non_salaried_work.js

@@ -88,6 +88,7 @@ function reload_hisse_1_data(frm) {
 
             if (r.message && r.message.success) {
                 populate_hisse_1(frm, r.message.hisse_1_data || []);
+                populate_child_table(frm, 'hissə_2', r.message.hisse_2_data || []);
                 populate_child_table(frm, 'hissə_3', r.message.hisse_3_data || []);
                 frm.dirty();
                 frm.refresh_fields();

taxes_az/taxes_az/doctype/single_declaration_related_to_salaried_and_non_salaried_work/single_declaration_related_to_salaried_and_non_salaried_work.py

@@ -3,7 +3,7 @@
 
 import frappe
 from frappe.model.document import Document
-from frappe.utils import flt
+from frappe.utils import flt, getdate
 
 from taxes_az.taxes_az.report.employee_payroll_register.employee_payroll_register import (
 	DEDUCTION_TYPES,
@@ -27,6 +27,7 @@ _ISSIZLIK_ISCI = frappe.scrub("İşsizlikdən sığorta haqqı (işçi 0,5%)")
 _ISSIZLIK_SIRKET = frappe.scrub("İşsizlikdən sığorta haqqı (şirkət 0,5%)")
 _ITS_ISCI = frappe.scrub("İcbari tibbi sığorta (işçi 2%)")
 _ITS_SIRKET = frappe.scrub("İcbari tibbi sığorta (şirkət 2%)")
+_KOMPENSASIYA = frappe.scrub("Məzuniyyət Kompensasiyası")
 
 
 class Singledeclarationrelatedtosalariedandnonsalariedwork(Document):
@@ -47,10 +48,9 @@ def get_company_defaults(company):
 
 @frappe.whitelist()
 def populate_declaration_tables(company, year, quarter):
-	"""Populate child tables from Employee Payroll Register data.
+	"""Populate child tables from payroll and absence data.
 
 	Returns dict with data for each child table.
-	Designed for extensibility: future tables add their key to the result dict.
 	"""
 	try:
 		year = int(year)
@@ -61,12 +61,16 @@ def populate_declaration_tables(company, year, quarter):
 		from_date = f"{year}-{start_suffix}"
 		to_date = f"{year}-{end_suffix}"
 
-		hisse_1_data = get_aggregated_employee_data(company, from_date, to_date)
+		# Fetch payroll data once, build hissə_1 and hissə_2 from it
+		payroll = fetch_payroll_data(company, from_date, to_date)
+		hisse_1_data = build_hisse_1(payroll)
+		hisse_2_data = build_hisse_2(payroll)
 		hisse_3_data = get_absence_data(company, from_date, to_date)
 
 		return {
 			"success": True,
 			"hisse_1_data": hisse_1_data,
+			"hisse_2_data": hisse_2_data,
 			"hisse_3_data": hisse_3_data,
 		}
 
@@ -78,8 +82,8 @@ def populate_declaration_tables(company, year, quarter):
 		return {"success": False, "error": str(e)}
 
 
-def get_aggregated_employee_data(company, from_date, to_date):
+def fetch_payroll_data(company, from_date, to_date):
-	"""Fetch salary slip data and aggregate per employee for hissə_1."""
+	"""Fetch and aggregate salary slip data per employee. Shared by hissə_1 and hissə_2."""
 	import erpnext
 
 	company_currency = erpnext.get_company_currency(company)
@@ -95,15 +99,13 @@ def get_aggregated_employee_data(company, from_date, to_date):
 
 	salary_slips = get_salary_slips(filters, company_currency)
 	if not salary_slips:
-		return []
+		return {"employee_map": {}, "fin_map": {}, "doj_map": {}}
 
 	ss_earning_map = get_salary_slip_details(salary_slips, currency, company_currency, "earnings")
 	ss_ded_map = get_salary_slip_details(salary_slips, currency, company_currency, "deductions")
 	doj_map = get_employee_doj_map()
 
-	# Scrubbed keys for summing
 	all_scrubbed_keys = [frappe.scrub(e) for e in EARNING_TYPES] + [frappe.scrub(d) for d in DEDUCTION_TYPES]
-
 	sum_fields = ["gross_pay", "total_deduction", "net_pay"] + all_scrubbed_keys
 
 	employee_map = {}
@@ -146,7 +148,14 @@ def get_aggregated_employee_data(company, from_date, to_date):
 		fin_data = frappe.get_all("Employee", filters={"name": ["in", employee_ids]}, fields=["name", "passport_number"])
 		fin_map = {d.name: d.passport_number for d in fin_data}
 
-	# Build child table rows with original fieldnames
+	return {"employee_map": employee_map, "fin_map": fin_map, "doj_map": doj_map}
+
+
+def build_hisse_1(payroll):
+	"""Build hissə_1 rows from aggregated payroll data."""
+	employee_map = payroll["employee_map"]
+	fin_map = payroll["fin_map"]
+
 	result = []
 	for agg in employee_map.values():
 		child_row = {
@@ -164,6 +173,34 @@ def get_aggregated_employee_data(company, from_date, to_date):
 	return result
 
 
+def build_hisse_2(payroll):
+	"""Build hissə_2 rows from aggregated payroll data. Only employees with compensation."""
+	employee_map = payroll["employee_map"]
+	fin_map = payroll["fin_map"]
+	doj_map = payroll["doj_map"]
+
+	result = []
+	for agg in employee_map.values():
+		compensation = flt(agg.get(_KOMPENSASIYA, 0))
+		if not compensation:
+			continue
+
+		emp = agg["employee"]
+		doj = doj_map.get(emp)
+		doj_year = str(getdate(doj).year) if doj else ""
+
+		child_row = {
+			"işçininsığortaolunanınsoyadıadıatasınınadı": agg["employee_name"],
+			"fin": fin_map.get(emp, ""),
+			"il": doj_year,
+			"kompensasiyaməbləği": compensation,
+		}
+		result.append(child_row)
+
+	result.sort(key=lambda x: x.get("işçininsığortaolunanınsoyadıadıatasınınadı", ""))
+	return result
+
+
 def get_absence_data(company, from_date, to_date):
 	"""Fetch absence data from Monthly Absence Report for hissə_3."""
 	from taxes_az.taxes_az.report.monthly_absence_report.monthly_absence_report import get_data