def execute(filters=None): columns, data, message, chart = [], [], [], [] if not filters.get('company'): return columns, data, message, chart fiscal_year = get_fiscal_year_data(filters.get('from_fiscal_year'), filters.get('to_fiscal_year')) companies_column, companies = get_companies(filters) columns = get_columns(companies_column) if filters.get('report') == "Balance Sheet": data, message, chart = get_balance_sheet_data(fiscal_year, companies, columns, filters) elif filters.get('report') == "Profit and Loss Statement": data, message, chart = get_profit_loss_data(fiscal_year, companies, columns, filters) else: if cint( frappe.db.get_single_value('Accounts Settings', 'use_custom_cash_flow')): from erpnext.accounts.report.cash_flow.custom_cash_flow import execute as execute_custom return execute_custom(filters=filters) data = get_cash_flow_data(fiscal_year, companies, filters) return columns, data, message, chart
def execute(filters=None): if cint(frappe.db.get_single_value('Accounts Settings', 'use_custom_cash_flow')): from erpnext.accounts.report.cash_flow.custom_cash_flow import execute as execute_custom return execute_custom(filters=filters) period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) cash_flow_accounts = get_cash_flow_accounts() # compute net profit / loss income = get_data(filters.company, "Income", "Credit", period_list, filters=filters, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy= True) expense = get_data(filters.company, "Expense", "Debit", period_list, filters=filters, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy= True) net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company) data = [] company_currency = frappe.get_cached_value('Company', filters.company, "default_currency") for cash_flow_account in cash_flow_accounts: section_data = [] data.append({ "account_name": cash_flow_account['section_header'], "parent_account": None, "indent": 0.0, "account": cash_flow_account['section_header'] }) if len(data) == 1: # add first net income in operations section if net_profit_loss: net_profit_loss.update({ "indent": 1, "parent_account": cash_flow_accounts[0]['section_header'] }) data.append(net_profit_loss) section_data.append(net_profit_loss) for account in cash_flow_account['account_types']: account_data = get_account_type_based_data(filters.company, account['account_type'], period_list, filters.accumulated_values) account_data.update({ "account_name": account['label'], "account": account['label'], "indent": 1, "parent_account": cash_flow_account['section_header'], "currency": company_currency }) data.append(account_data) section_data.append(account_data) add_total_row_account(data, section_data, cash_flow_account['section_footer'], period_list, company_currency) add_total_row_account(data, data, _("Net Change in Cash"), period_list, company_currency) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) return columns, data
def execute(filters=None): columns, data, message, chart = [], [], [], [] if not filters.get('company'): return columns, data, message, chart if filters.get('compare_with_company') and not (filters.from_company or filters.to_company): frappe.msgprint(_("Please select From Company and To Company")) period_list = get_period_list(filters.from_date, filters.to_date, filters.periodicity, filters.accumulated_in_group_company) companies_column, companies = get_companies(filters) columns = get_columns(companies_column, filters.periodicity, period_list, filters, filters.accumulated_in_group_company) if filters.get('report') == "Balance Sheet": data, message, chart = get_balance_sheet_data(period_list, companies, columns, filters) elif filters.get('report') == "Profit and Loss Statement": data, message, chart = get_profit_loss_data(period_list, companies, columns, filters) else: if cint( frappe.db.get_single_value('Accounts Settings', 'use_custom_cash_flow')): from erpnext.accounts.report.cash_flow.custom_cash_flow import execute as execute_custom return execute_custom(filters=filters) data = get_cash_flow_data(period_list, companies, filters) return columns, data, message, chart
def execute(filters=None): columns, data, message, chart = [], [], [], [] if not filters.get('company'): return columns, data, message, chart fiscal_year = get_fiscal_year_data(filters.get('from_fiscal_year'), filters.get('to_fiscal_year')) companies_column, companies = get_companies(filters) columns = get_columns(companies_column) if filters.get('report') == "Balance Sheet": data, message, chart = get_balance_sheet_data(fiscal_year, companies, columns, filters) elif filters.get('report') == "Profit and Loss Statement": data, message, chart = get_profit_loss_data(fiscal_year, companies, columns, filters) else: if cint(frappe.db.get_single_value('Accounts Settings', 'use_custom_cash_flow')): from erpnext.accounts.report.cash_flow.custom_cash_flow import execute as execute_custom return execute_custom(filters=filters) data = get_cash_flow_data(fiscal_year, companies, filters) return columns, data, message, chart
def execute(filters=None): if cint( frappe.db.get_single_value('Accounts Settings', 'use_custom_cash_flow')): from erpnext.accounts.report.cash_flow.custom_cash_flow import execute as execute_custom return execute_custom(filters=filters) period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) operation_accounts = { "section_name": "Operations", "section_footer": _("Net Cash from Operations"), "section_header": _("Cash Flow from Operations"), "account_types": [{ "account_type": "Depreciation", "label": _("Depreciation") }, { "account_type": "Receivable", "label": _("Net Change in Accounts Receivable") }, { "account_type": "Payable", "label": _("Net Change in Accounts Payable") }, { "account_type": "Stock", "label": _("Net Change in Inventory") }] } investing_accounts = { "section_name": "Investing", "section_footer": _("Net Cash from Investing"), "section_header": _("Cash Flow from Investing"), "account_types": [{ "account_type": "Fixed Asset", "label": _("Net Change in Fixed Asset") }] } financing_accounts = { "section_name": "Financing", "section_footer": _("Net Cash from Financing"), "section_header": _("Cash Flow from Financing"), "account_types": [{ "account_type": "Equity", "label": _("Net Change in Equity") }] } # combine all cash flow accounts for iteration cash_flow_accounts = [ operation_accounts, investing_accounts, financing_accounts ] # compute net profit / loss income = get_data(filters.company, "Income", "Credit", period_list, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy=True) expense = get_data(filters.company, "Expense", "Debit", period_list, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy=True) net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company) data = [] company_currency = frappe.db.get_value("Company", filters.company, "default_currency") for cash_flow_account in cash_flow_accounts: section_data = [] data.append({ "account_name": cash_flow_account['section_header'], "parent_account": None, "indent": 0.0, "account": cash_flow_account['section_header'] }) if len(data) == 1: # add first net income in operations section if net_profit_loss: net_profit_loss.update({ "indent": 1, "parent_account": operation_accounts['section_header'] }) data.append(net_profit_loss) section_data.append(net_profit_loss) for account in cash_flow_account['account_types']: account_data = get_account_type_based_data( filters.company, account['account_type'], period_list, filters.accumulated_values) account_data.update({ "account_name": account['label'], "account": account['label'], "indent": 1, "parent_account": cash_flow_account['section_header'], "currency": company_currency }) data.append(account_data) section_data.append(account_data) add_total_row_account(data, section_data, cash_flow_account['section_footer'], period_list, company_currency) add_total_row_account(data, data, _("Net Change in Cash"), period_list, company_currency) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) return columns, data