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): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) 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 = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity, from_beginning=True) asset = get_data(filters.company, "Asset", "Debit", period_list, filters.accumulated_value) liability = get_data(filters.company, "Liability", "Credit", period_list, filters.accumulated_value) equity = get_data(filters.company, "Equity", "Credit", period_list, filters.accumulated_value) provisional_profit_loss = get_provisional_profit_loss( asset, liability, equity, period_list) data = [] data.extend(asset or []) data.extend(liability or []) data.extend(equity or []) if provisional_profit_loss: data.append(provisional_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_value) return columns, data
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) 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, filters.presentation_currency) data = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) currency = filters.presentation_currency or frappe.get_cached_value('Company', filters.company, "default_currency") report_summary = get_report_summary(period_list, filters.periodicity, income, expense, net_profit_loss, currency) return columns, data, None, chart, report_summary
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity) income = get_data(filters.company, "Income", "Credit", period_list, accumulated_values=filters.accumulated_values, ignore_closing_entries=True) expense = get_data(filters.company, "Expense", "Debit", period_list, accumulated_values=filters.accumulated_values, ignore_closing_entries=True) net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company) data = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
def execute(filters=None): if not filters.periodicity: filters.periodicity = "Monthly" period_list = get_period_list( filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company ) mappers = get_mappers_from_db() cash_flow_accounts = setup_mappers(mappers) # 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) company_currency = frappe.get_cached_value('Company', filters.company, "default_currency") data = compute_data(filters, company_currency, net_profit_loss, period_list, mappers, cash_flow_accounts) _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): period_list = get_period_list(filters.from_date, filters.to_date, filters.periodicity, filters.accumulated_values, filters.company) ignore_accumulated_values_for_fy = True if filters.periodicity == "Custom": ignore_accumulated_values_for_fy=False 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=ignore_accumulated_values_for_fy) 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=ignore_accumulated_values_for_fy) net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company, filters.presentation_currency) data = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
def get(filters=None): filters = frappe._dict({ "from_fiscal_year" : filters.get("from_fiscal_year"), "to_fiscal_year" : filters.get("to_fiscal_year"), "periodicity": filters.get("periodicity"), "accumulated_values": 1, "company": filters.get("company") }) period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) 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, filters.presentation_currency) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return chart
def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity) asset = get_data(filters.company, "Asset", "Debit", period_list, only_current_fiscal_year=False) liability = get_data(filters.company, "Liability", "Credit", period_list, only_current_fiscal_year=False) equity = get_data(filters.company, "Equity", "Credit", period_list, only_current_fiscal_year=False) provisional_profit_loss, total_credit = get_provisional_profit_loss( asset, liability, equity, period_list, filters.company) 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": None, "warn_if_negative": True, "currency": frappe.db.get_value("Company", filters.company, "default_currency") } for period in period_list: unclosed[period.key] = opening_balance 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, company=filters.company) chart = get_chart_data(columns, asset, liability, equity) return columns, data, message, chart
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 execute(filters=None): periodicity = filters.get('periodicity') period_list = get_period_list( filters.get('from_fiscal_year'), filters.get('to_fiscal_year'), filters.get('periodicity') ) columns = get_columns(periodicity, period_list) data = get_data(periodicity, period_list, filters) return columns, data
def execute(filters=None): if not filters.periodicity: filters.periodicity = "Monthly" 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, ) mappers = get_mappers_from_db() cash_flow_accounts = setup_mappers(mappers) # 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) company_currency = frappe.get_cached_value("Company", filters.company, "default_currency") data = compute_data( filters, company_currency, net_profit_loss, period_list, mappers, cash_flow_accounts ) _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): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) columns, data = [], [] 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, total= False) 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, total= False) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) gross_income = get_revenue(income, period_list) gross_expense = get_revenue(expense, period_list) if(len(gross_income)==0 and len(gross_expense)== 0): data.append({"account_name": "'" + _("Nothing is included in gross") + "'", "account": "'" + _("Nothing is included in gross") + "'"}) return columns, data data.append({"account_name": "'" + _("Included in Gross Profit") + "'", "account": "'" + _("Included in Gross Profit") + "'"}) data.append({}) data.extend(gross_income or []) data.append({}) data.extend(gross_expense or []) data.append({}) gross_profit = get_profit(gross_income, gross_expense, period_list, filters.company, 'Gross Profit',filters.presentation_currency) data.append(gross_profit) non_gross_income = get_revenue(income, period_list, 0) data.append({}) data.extend(non_gross_income or []) non_gross_expense = get_revenue(expense, period_list, 0) data.append({}) data.extend(non_gross_expense or []) net_profit = get_net_profit(non_gross_income, gross_income, gross_expense, non_gross_expense, period_list, filters.company,filters.presentation_currency) data.append({}) data.append(net_profit) return columns, data
def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) asset = get_data(filters.company, "Asset", "Debit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy=True) liability = get_data(filters.company, "Liability", "Credit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy=True) equity = get_data(filters.company, "Equity", "Credit", period_list, only_current_fiscal_year=False, filters=filters, accumulated_values=filters.accumulated_values, ignore_closing_entries=True, ignore_accumulated_values_for_fy=True) provisional_profit_loss, total_credit = get_provisional_profit_loss(asset, liability, equity, period_list, filters.company) 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": frappe.db.get_value("Company", filters.company, "default_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) return columns, data, message, chart
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity) income = get_data(filters.company, "Income", "Credit", period_list, ignore_closing_entries=True) expense = get_data(filters.company, "Expense", "Debit", period_list, ignore_closing_entries=True) net_profit_loss = get_net_profit_loss(income, expense, period_list) data = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(period_list) return columns, data
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity, from_beginning=True) asset = get_data(filters.company, "Asset", "Debit", period_list) liability = get_data(filters.company, "Liability", "Credit", period_list) equity = get_data(filters.company, "Equity", "Credit", period_list) provisional_profit_loss = get_provisional_profit_loss(asset, liability, equity, period_list) data = [] data.extend(asset or []) data.extend(liability or []) data.extend(equity or []) if provisional_profit_loss: data.append(provisional_profit_loss) columns = get_columns(period_list) return columns, data
def execute(filters=None): period_list = make_period_list(filters.get('start_date'), filters.get('end_date')) income = get_data( filters.company, "Income", "Credit", period_list, filters=filters, accumulated_values=filters.accumulated_values, only_current_fiscal_year=False, ignore_closing_entries=True, ignore_accumulated_values_for_fy=False, ) expense = get_data( filters.company, "Expense", "Debit", period_list, filters=filters, accumulated_values=filters.accumulated_values, only_current_fiscal_year=False, ignore_closing_entries=True, ignore_accumulated_values_for_fy=False, ) net_profit_loss = get_net_profit_loss( income, expense, period_list, filters.company, filters.presentation_currency ) data = [] data.extend(income or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns( filters.periodicity, period_list, filters.accumulated_values, filters.company ) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity) asset = get_data(filters.company, "Asset", "Debit", period_list, only_current_fiscal_year=False) liability = get_data(filters.company, "Liability", "Credit", period_list, only_current_fiscal_year=False) equity = get_data(filters.company, "Equity", "Credit", period_list, only_current_fiscal_year=False) provisional_profit_loss = get_provisional_profit_loss(asset, liability, equity, period_list, filters.company) data = [] data.extend(asset or []) data.extend(liability or []) data.extend(equity or []) if provisional_profit_loss: data.append(provisional_profit_loss) columns = get_columns(filters.periodicity, period_list, company=filters.company) return columns, data
def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, filters.accumulated_values, filters.company) 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) cost_of_goods_entries, expense = extract_cost_of_goods_sold(expense) print(expense[0]) data = [] data.extend(income or []) data.extend(cost_of_goods_entries or []) data.extend(expense or []) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
def execute(filters=None): period_list = get_period_list(filters.fiscal_year, filters.periodicity) asset = get_data(filters.company, "Asset", "Debit", period_list, only_current_fiscal_year=False) liability = get_data(filters.company, "Liability", "Credit", period_list, only_current_fiscal_year=False) equity = get_data(filters.company, "Equity", "Credit", period_list, only_current_fiscal_year=False) provisional_profit_loss,total_credit = get_provisional_profit_loss(asset, liability, equity, period_list, filters.company) opening_balance = flt(asset[0].get("opening_balance", 0)) if liability: opening_balance -= flt(liability[0].get("opening_balance", 0)) if equity: opening_balance -= flt(equity[0].get("opening_balance", 0)) data = [] data.extend(asset or []) data.extend(liability or []) data.extend(equity or []) if round(opening_balance,2) !=0: unclosed ={ "account_name": "'" + _("Unclosed Fiscal Years Profit / Loss (Credit)") + "'", "account": None, "warn_if_negative": True, "currency": frappe.db.get_value("Company", filters.company, "default_currency") } for period in period_list: unclosed[period.key] = opening_balance 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) data.append(total_credit) columns = get_columns(filters.periodicity, period_list, company=filters.company) return columns, data
def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, 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 = [] cash_flow_accounts.append(operation_accounts) cash_flow_accounts.append(investing_accounts) cash_flow_accounts.append(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
def execute(filters=None): period_list = get_period_list(filters.from_date, filters.to_date, filters.periodicity, filters.accumulated_values, filters.company) ignore_accumulated_values_for_fy = True if filters.periodicity == "Custom": ignore_accumulated_values_for_fy = False #fetch data for the income and expense accounts 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=ignore_accumulated_values_for_fy) 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=ignore_accumulated_values_for_fy) #add the section for income data = [] data.extend(income or []) #get direct and indirect expense account names gross_profit_loss = None direct_expense_account = frappe.get_value("Company", get_default_company(), "default_direct_expenses") indirect_expense_account = frappe.get_value("Company", get_default_company(), "default_indirect_expenses") company_abbr = get_company_default(get_default_company(), "abbr") direct_expenses = None for expense_item in expense: data.append(expense_item) #add gross profit line item on the PL statement if expense_item.get("group_account_summary", False) and expense_item.get( "_account") == direct_expense_account: direct_expenses = expense_item gross_profit_loss = get_profit_loss(income, expense_item, period_list, filters.company, "Gross Profit", indent=1, is_group=0) if gross_profit_loss: data.append(gross_profit_loss) gross_profit_loss = None #add the line for net operating income / loss if expense_item.get("group_account_summary", False) and expense_item.get( "_account") == indirect_expense_account: operating_profit_loss = get_profit_loss( income, expense_item, period_list, filters.company, "Net Operating Profit", indent=expense_item.get("indent"), is_group=0, direct_expenses=direct_expenses) if operating_profit_loss: data.append(operating_profit_loss) operating_profit_loss = None #add the line for net profit / loss net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company, filters.presentation_currency) if net_profit_loss: data.append(net_profit_loss) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) chart = get_chart_data(filters, columns, income, expense, net_profit_loss) return columns, data, None, chart
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, filters.accumulated_values, filters.company) columns, data = [], [] 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, total=False) 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, total=False) columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company) gross_income = get_revenue(income, period_list) gross_expense = get_revenue(expense, period_list) if (len(gross_income) == 0 and len(gross_expense) == 0): data.append({ "account_name": "'" + _("Nothing is included in gross") + "'", "account": "'" + _("Nothing is included in gross") + "'" }) return columns, data # to avoid error eg: gross_income[0] : list index out of range if not gross_income: gross_income = [{}] if not gross_expense: gross_expense = [{}] data.append({ "account_name": "'" + _("Included in Gross Profit") + "'", "account": "'" + _("Included in Gross Profit") + "'" }) data.append({}) data.extend(gross_income or []) data.append({}) data.extend(gross_expense or []) data.append({}) gross_profit = get_profit(gross_income, gross_expense, period_list, filters.company, 'Gross Profit', filters.presentation_currency) data.append(gross_profit) non_gross_income = get_revenue(income, period_list, 0) data.append({}) data.extend(non_gross_income or []) non_gross_expense = get_revenue(expense, period_list, 0) data.append({}) data.extend(non_gross_expense or []) net_profit = get_net_profit(non_gross_income, gross_income, gross_expense, non_gross_expense, period_list, filters.company, filters.presentation_currency) data.append({}) data.append(net_profit) return columns, data
def execute(filters=None): period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, filters.periodicity, 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 = [] cash_flow_accounts.append(operation_accounts) cash_flow_accounts.append(investing_accounts) cash_flow_accounts.append(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
def execute(filters=None): period_list = get_period_list(filters.from_date, filters.to_date, 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 = [] #add assets to the balance sheet report data.extend(asset or []) #add liabilities to the balance sheet report data.extend(liability or []) #add provisional profit/loss and adjust equity totals if books are not closed if len(equity) > 2 and provisional_profit_loss: equity = append_provisions_to_equity(equity, provisional_profit_loss, period_list) data.extend(equity or []) #specific case when equity is completely empty but we still need to add elif not equity and provisional_profit_loss: equity = create_equity_with_provisions(provisional_profit_loss, period_list) data.extend(equity) #add equity to the balance sheet report if there are no provisional profits/losses else: 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 total_credit: data.append({}) 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) return columns, data, message, chart