# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe from frappe import _ from frappe.utils import cint, flt from erpnext.accounts.report.financial_statements import ( get_columns, get_data, get_filtered_list_for_consolidated_report, get_period_list, ) def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.period_start_date, filters.period_end_date, filters.filter_based_on, filters.periodicity, company=filters.company) currency = filters.presentation_currency or frappe.get_cached_value('Company', filters.company, "default_currency") asset = get_data(filters.company, "Asset", "Debit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values) liability = get_data(filters.company, "Liability", "Credit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values) equity = get_data(filters.company, "Equity", "Credit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values) provisional_profit_loss, total_credit = get_provisional_profit_loss(asset, liability, equity, period_list, filters.company, currency) message, opening_balance = check_opening_balance(asset, liability, equity) data = [] data.extend(asset or []) data.extend(liability or []) data.extend(equity or []) if opening_balance and round(opening_balance,2) !=0: unclosed ={ "account_name": "'" + _("Unclosed Fiscal Years Profit / Loss (Credit)") + "'", "account": "'" + _("Unclosed Fiscal Years Profit / Loss (Credit)") + "'", "warn_if_negative": True, "currency": currency } for period in period_list: unclosed[period.key] = opening_balance if provisional_profit_loss: provisional_profit_loss[period.key] = provisional_profit_loss[period.key] - opening_balance unclosed["total"]=opening_balance data.append(unclosed) if provisional_profit_loss: data.append(provisional_profit_loss) if total_credit: data.append(total_credit) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, company=filters.company) chart = get_chart_data(filters, columns, asset, liability, equity) report_summary = get_report_summary(period_list, asset, liability, equity, provisional_profit_loss, total_credit, currency, filters) return columns, data, message, chart, report_summary def get_provisional_profit_loss(asset, liability, equity, period_list, company, currency=None, consolidated=False): provisional_profit_loss = {} total_row = {} if asset and (liability or equity): total = total_row_total=0 currency = currency or frappe.get_cached_value('Company', company, "default_currency") total_row = { "account_name": "'" + _("Total (Credit)") + "'", "account": "'" + _("Total (Credit)") + "'", "warn_if_negative": True, "currency": currency } has_value = False for period in period_list: key = period if consolidated else period.key effective_liability = 0.0 if liability: effective_liability += flt(liability[-2].get(key)) if equity: effective_liability += flt(equity[-2].get(key)) provisional_profit_loss[key] = flt(asset[-2].get(key)) - effective_liability total_row[key] = effective_liability + provisional_profit_loss[key] if provisional_profit_loss[key]: has_value = True total += flt(provisional_profit_loss[key]) provisional_profit_loss["total"] = total total_row_total += flt(total_row[key]) total_row["total"] = total_row_total if has_value: provisional_profit_loss.update({ "account_name": "'" + _("Provisional Profit / Loss (Credit)") + "'", "account": "'" + _("Provisional Profit / Loss (Credit)") + "'", "warn_if_negative": True, "currency": currency }) return provisional_profit_loss, total_row def check_opening_balance(asset, liability, equity): # Check if previous year balance sheet closed opening_balance = 0 float_precision = cint(frappe.db.get_default("float_precision")) or 2 if asset: opening_balance = flt(asset[0].get("opening_balance", 0), float_precision) if liability: opening_balance -= flt(liability[0].get("opening_balance", 0), float_precision) if equity: opening_balance -= flt(equity[0].get("opening_balance", 0), float_precision) opening_balance = flt(opening_balance, float_precision) if opening_balance: return _("Previous Financial Year is not closed"),opening_balance return None,None def get_report_summary(period_list, asset, liability, equity, provisional_profit_loss, total_credit, currency, filters, consolidated=False): net_asset, net_liability, net_equity, net_provisional_profit_loss = 0.0, 0.0, 0.0, 0.0 if filters.get('accumulated_values'): period_list = [period_list[-1]] # from consolidated financial statement if filters.get('accumulated_in_group_company'): period_list = get_filtered_list_for_consolidated_report(filters, period_list) for period in period_list: key = period if consolidated else period.key if asset: net_asset += asset[-2].get(key) if liability: net_liability += liability[-2].get(key) if equity: net_equity += equity[-2].get(key) if provisional_profit_loss: net_provisional_profit_loss += provisional_profit_loss.get(key) return [ { "value": net_asset, "label": "Total Asset", "datatype": "Currency", "currency": currency }, { "value": net_liability, "label": "Total Liability", "datatype": "Currency", "currency": currency }, { "value": net_equity, "label": "Total Equity", "datatype": "Currency", "currency": currency }, { "value": net_provisional_profit_loss, "label": "Provisional Profit / Loss (Credit)", "indicator": "Green" if net_provisional_profit_loss > 0 else "Red", "datatype": "Currency", "currency": currency } ] def get_chart_data(filters, columns, asset, liability, equity): labels = [d.get("label") for d in columns[2:]] asset_data, liability_data, equity_data = [], [], [] for p in columns[2:]: if asset: asset_data.append(asset[-2].get(p.get("fieldname"))) if liability: liability_data.append(liability[-2].get(p.get("fieldname"))) if equity: equity_data.append(equity[-2].get(p.get("fieldname"))) datasets = [] if asset_data: datasets.append({'name': _('Assets'), 'values': asset_data}) if liability_data: datasets.append({'name': _('Liabilities'), 'values': liability_data}) if equity_data: datasets.append({'name': _('Equity'), 'values': equity_data}) chart = { "data": { 'labels': labels, 'datasets': datasets } } if not filters.accumulated_values: chart["type"] = "bar" else: chart["type"] = "line" return chart