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 get_income_expense_data(companies,
                            fiscal_year,
                            filters,
                            cost_center_wise=False):
    company_currency = get_company_currency(filters)
    income = get_data(companies,
                      "Income",
                      "Credit",
                      fiscal_year,
                      filters,
                      ignore_closing_entries=True,
                      cost_center_wise=cost_center_wise)

    expense = get_data(companies,
                       "Expense",
                       "Debit",
                       fiscal_year,
                       filters,
                       ignore_closing_entries=True,
                       cost_center_wise=cost_center_wise)

    net_profit_loss = get_net_profit_loss(income, expense, companies,
                                          filters.company, company_currency,
                                          True)

    return income, expense, net_profit_loss
Example #3
0
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
Example #4
0
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
Example #5
0
def get_income_expense_data(companies, fiscal_year, filters):
	company_currency = get_company_currency(filters)
	income = get_data(companies, "Income", "Credit", fiscal_year, filters, True)

	expense = get_data(companies, "Expense", "Debit", fiscal_year, filters, True)

	net_profit_loss = get_net_profit_loss(income, expense, companies, filters.company, company_currency, True)

	return income, expense, net_profit_loss
def get_income_expense_data(companies, fiscal_year, filters):
	company_currency = get_company_currency(filters)
	income = get_data(companies, "Income", "Credit", fiscal_year, filters, True)

	expense = get_data(companies, "Expense", "Debit", fiscal_year, filters, True)

	net_profit_loss = get_net_profit_loss(income, expense, companies, filters.company, company_currency, True)

	return income, expense, net_profit_loss
Example #7
0
def get_income_expense_data(companies, fiscal_year, filters):
	company_currency = frappe.get_cached_value('Company',  filters.company,  "default_currency")
	income = get_data(companies, "Income", "Credit", fiscal_year, filters, True)

	expense = get_data(companies, "Expense", "Debit", fiscal_year, filters, True)

	net_profit_loss = get_net_profit_loss(income, expense, companies, filters.company, company_currency, True)

	return income, expense, net_profit_loss
Example #8
0
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)

    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
Example #10
0
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
Example #11
0
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