Exemplo n.º 1
0
def get_data_column(filters, partner_doctype):
    data = []
    period_list = get_period_list(filters.fiscal_year,
                                  filters.fiscal_year,
                                  '',
                                  '',
                                  'Fiscal Year',
                                  filters.period,
                                  company=filters.company)

    rows = get_data(filters, period_list, partner_doctype)
    columns = get_columns(filters, period_list, partner_doctype)

    if not rows:
        return columns, data

    for key, value in rows.items():
        value.update({
            frappe.scrub(partner_doctype): key[0],
            'item_group': key[1]
        })

        data.append(value)

    return columns, data
Exemplo n.º 2
0
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
Exemplo n.º 3
0
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
Exemplo n.º 4
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
Exemplo n.º 5
0
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
Exemplo n.º 6
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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
Exemplo n.º 7
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
Exemplo n.º 8
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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 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 prepare_periodical_data(self):
		self.period_wise_data = {}

		from_date = add_years(self.filters.from_date, cint(self.filters.no_of_years) * -1)
		self.period_list = get_period_list(from_date, self.filters.to_date,
			from_date, self.filters.to_date, "Date Range", self.filters.periodicity, ignore_fiscal_year=True)

		order_data = self.get_data_for_forecast() or []

		for entry in order_data:
			key = (entry.item_code, entry.warehouse)
			if key not in self.period_wise_data:
				self.period_wise_data[key] = entry

			period_data = self.period_wise_data[key]
			for period in self.period_list:
				# check if posting date is within the period
				if (entry.posting_date >= period.from_date and entry.posting_date <= period.to_date):
					period_data[period.key] = period_data.get(period.key, 0.0) + flt(entry.get(self.based_on_field))

		for key, value in self.period_wise_data.items():
			list_of_period_value = [value.get(p.key, 0) for p in self.period_list]

			if list_of_period_value:
				total_qty = [1 for d in list_of_period_value if d]
				if total_qty:
					value["avg"] = flt(sum(list_of_period_value)) / flt(sum(total_qty))
def prepare_chart_data(data, filters):
	labels_values_map = {}
	date_field = frappe.scrub(filters.date_based_on)

	period_list = get_period_list(filters.from_fiscal_year, filters.to_fiscal_year, 
		filters.from_date, filters.to_date, filters.filter_based_on, "Monthly", company=filters.company)

	for d in period_list:
		labels_values_map.setdefault(d.get('label'), frappe._dict({'asset_value': 0, 'depreciated_amount': 0}))

	for d in data:
		date = d.get(date_field)
		belongs_to_month = formatdate(date, "MMM YYYY")

		labels_values_map[belongs_to_month].asset_value += d.get("asset_value")
		labels_values_map[belongs_to_month].depreciated_amount += d.get("depreciated_amount")

	return {
		"data" : {
			"labels": labels_values_map.keys(),
			"datasets": [
				{ 'name': _('Asset Value'), 'values': [d.get("asset_value") for d in labels_values_map.values()] },
				{ 'name': _('Depreciatied Amount'), 'values': [d.get("depreciated_amount") for d in labels_values_map.values()] }
			]
		},
		"type": "bar",
		"barOptions": {
			"stacked": 1
		},
	}
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):
    columns, data, message, chart = [], [], [], []

    if not filters.get('company'):
        return columns, data, message, chart
    period_list = get_period_list(filters.from_date, filters.to_date,
                                  filters.periodicity,
                                  filters.accumulated_in_group_company)

    if not filters.get('cost_center'):
        frappe.msgprint(_("Please select at least one cost center."))

    if not filters.get('include_child_cost_centers'):
        cost_centers = filters.cost_center
    else:
        cost_centers = get_cost_centers_with_children(filters.cost_center)

    columns = get_columns(cost_centers, filters.periodicity, period_list)

    if filters.get('report') == "Balance Sheet":
        data, message, chart = get_balance_sheet_data(period_list,
                                                      cost_centers,
                                                      columns,
                                                      filters,
                                                      cost_center_wise=True)
    elif filters.get('report') == "Profit and Loss Statement":
        data, message, chart = get_profit_loss_data(period_list,
                                                    cost_centers,
                                                    columns,
                                                    filters,
                                                    cost_center_wise=True)

    return columns, data, message, chart
Exemplo n.º 14
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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
Exemplo n.º 15
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def execute(filters=None):
    year = filters["Year"]
    period_list = get_period_list(year, year, "Monthly")
    columns, data = [], []
    columns = get_columns("Monthly", period_list)
    data = get_data(period_list, filters)

    return columns, data
Exemplo n.º 16
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def execute(filters=None):
    period_list = get_period_list(2016, 2016, "Monthly")
    for period in period_list:
        pass
    columns, data = [], []
    columns = get_columns()
    data = get_log_data(filters)
    chart = get_chart_data(data, period_list)
    return columns, data, None, chart
Exemplo n.º 17
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def execute(filters=None):
	columns, data = [], []
	if filters.get('fiscal_year'):
		company = erpnext.get_default_company()
		period_list = get_period_list(filters.get('fiscal_year'), filters.get('fiscal_year'),"Monthly", company)
		columns=get_columns()
		data=get_log_data(filters)
		chart=get_chart_data(data,period_list)
	return columns, data, None, chart
Exemplo n.º 18
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def execute(filters=None):
    period_list = get_period_list(2016, 2016, "Monthly")
    for period in period_list:
        pass
    columns, data = [], []
    columns = get_columns()
    data = get_log_data(filters)
    chart = get_chart_data(data, period_list)
    return columns, data, None, chart
Exemplo n.º 19
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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
Exemplo n.º 20
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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
Exemplo n.º 21
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)

	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
Exemplo n.º 23
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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
Exemplo n.º 24
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    def get_period_list(self):
        """
		Figure out selected period based on filters
		"""
        self.period_list = get_period_list(
            self.filters.from_fiscal_year,
            self.filters.to_fiscal_year,
            self.filters.period_start_date,
            self.filters.period_end_date,
            self.filters.filter_based_on,
            self.filters.periodicity,
            company=self.filters.company,
        )
Exemplo n.º 25
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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
Exemplo n.º 26
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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
Exemplo n.º 27
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def get_chart_data(data, filters):
    period_list = get_period_list(filters.fiscal_year, filters.fiscal_year,
                                  filters.from_date, filters.to_date,
                                  filters.filter_based_on, 'Monthly')

    fuel_data, service_data = [], []

    for period in period_list:
        total_fuel_exp = 0
        total_service_exp = 0

        for row in data:
            if row.date <= period.to_date and row.date >= period.from_date:
                total_fuel_exp += flt(row.fuel_expense)
                total_service_exp += flt(row.service_expense)

        fuel_data.append([period.key, total_fuel_exp])
        service_data.append([period.key, total_service_exp])

    labels = [period.label for period in period_list]
    fuel_exp_data = [row[1] for row in fuel_data]
    service_exp_data = [row[1] for row in service_data]

    datasets = []
    if fuel_exp_data:
        datasets.append({'name': _('Fuel Expenses'), 'values': fuel_exp_data})

    if service_exp_data:
        datasets.append({
            'name': _('Service Expenses'),
            'values': service_exp_data
        })

    chart = {
        'data': {
            'labels': labels,
            'datasets': datasets
        },
        'type': 'line',
        'fieldtype': 'Currency'
    }

    return chart
Exemplo n.º 28
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def get_chart_data(data, filters):
	period_list = get_period_list(
		filters.fiscal_year,
		filters.fiscal_year,
		filters.from_date,
		filters.to_date,
		filters.filter_based_on,
		"Monthly",
	)

	fuel_data, service_data = [], []

	for period in period_list:
		total_fuel_exp = 0
		total_service_exp = 0

		for row in data:
			if row.date <= period.to_date and row.date >= period.from_date:
				total_fuel_exp += flt(row.fuel_expense)
				total_service_exp += flt(row.service_expense)

		fuel_data.append([period.key, total_fuel_exp])
		service_data.append([period.key, total_service_exp])

	labels = [period.label for period in period_list]
	fuel_exp_data = [row[1] for row in fuel_data]
	service_exp_data = [row[1] for row in service_data]

	datasets = []
	if fuel_exp_data:
		datasets.append({"name": _("Fuel Expenses"), "values": fuel_exp_data})

	if service_exp_data:
		datasets.append({"name": _("Service Expenses"), "values": service_exp_data})

	chart = {
		"data": {"labels": labels, "datasets": datasets},
		"type": "line",
		"fieldtype": "Currency",
	}

	return chart
Exemplo n.º 29
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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
Exemplo n.º 31
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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
Exemplo n.º 32
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    def simulate_future_posting(self):
        """
		simulate future posting by creating dummy gl entries. starts from the last posting date.
		"""
        if self.service_start_date != self.service_end_date:
            if add_days(self.last_entry_date,
                        1) < self.period_list[-1].to_date:
                self.estimate_for_period_list = get_period_list(
                    self.filters.from_fiscal_year,
                    self.filters.to_fiscal_year,
                    add_days(self.last_entry_date, 1),
                    self.period_list[-1].to_date,
                    "Date Range",
                    "Monthly",
                    company=self.filters.company,
                )
                for period in self.estimate_for_period_list:
                    amount = self.calculate_amount(period.from_date,
                                                   period.to_date)
                    gle = self.make_dummy_gle(period.key, period.to_date,
                                              amount)
                    self.gle_entries.append(gle)
Exemplo n.º 33
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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
Exemplo n.º 34
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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
Exemplo n.º 35
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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):
    def get_accounts_matched_account_number(company, accounts):
        accounts_codes = str(accounts).split(" ")
        account_matches = dict(debit=[], credit=[])

        for account_match in accounts_codes:
            if account_match.startswith("+"):
                account_matches.get('debit').extend(
                    get_accounts_with_account_number(company,
                                                     account_match[1:]))
            elif account_match.startswith("-"):
                account_matches.get('credit').extend(
                    get_accounts_with_account_number(company,
                                                     account_match[1:]))

        return account_matches

    def get_accounts_with_account_number(company, match):
        accounts = frappe.db.sql("""
				select name from `tabAccount` where company=%s and is_group = 0 and account_number LIKE %s order by lft""",
                                 (company, match + "%"),
                                 as_dict=True)

        return accounts

    def remove_group_accounts(grouper):
        grouper = {
            key: value
            for (key, value) in grouper.items() if value.is_group == 0
        }

    def set_parent_value(group, account_):
        for account in itervalues(group):
            if account.get('value') is None:
                values = account_.get('value')
                keys = account_.get('keys')
                account['value'] = values
                account['keys'] = keys
            # account[keys[0]] = values[0]
            # account[keys[1]] = values[1]
            else:
                break

    def compute_from_grouper_old(grouper, accounts, period_list):
        value_current_year = 0
        value_previous_year = 0
        for account in accounts.get("debit"):
            acc = grouper.get(account.get("name"))
            if acc is not None:
                value_previous_year += acc.get(
                    "%s_debit" % period_list[0].get('key'), 0.0)
                value_current_year += acc.get(
                    "%s_debit" % period_list[1].get('key'), 0.0)

        for account in accounts.get("credit"):
            acc = grouper.get(account.get("name"))
            if acc is not None:
                value_previous_year += acc.get(
                    "%s_credit" % period_list[0].get('key'), 0.0)
                value_current_year += acc.get(
                    "%s_credit" % period_list[1].get('key'), 0.0)

        return (value_previous_year, value_current_year)

    def compute_from_grouper(grouper, accounts, period_list):
        value_current_year = 0
        value_previous_year = 0
        previous_key = period_list[0].get('key')
        current_key = period_list[1].get('key')
        for account in accounts.get("debit"):
            acc = grouper.get(account.get("name"))
            if acc is not None:
                value_previous_year_d = acc.get("%s_debit" % previous_key, 0.0)
                value_previous_year_c = acc.get("%s_credit" % previous_key,
                                                0.0)

                value_current_year_d = acc.get("%s_debit" % current_key, 0.0)
                value_current_year_c = acc.get("%s_credit" % current_key, 0.0)

                diff_value_previous_year = value_previous_year_d - value_previous_year_c
                diff_value_current_year = value_current_year_d - value_current_year_c

                if diff_value_previous_year >= 0:
                    value_previous_year += diff_value_previous_year

                if diff_value_current_year >= 0:
                    value_current_year += diff_value_current_year

        for account in accounts.get("credit"):
            acc = grouper.get(account.get("name"))
            if acc is not None:
                value_previous_year_d = acc.get("%s_debit" % previous_key, 0.0)
                value_previous_year_c = acc.get("%s_credit" % previous_key,
                                                0.0)

                value_current_year_d = acc.get("%s_debit" % current_key, 0.0)
                value_current_year_c = acc.get("%s_credit" % current_key, 0.0)

                diff_value_previous_year = value_previous_year_d - value_previous_year_c
                diff_value_current_year = value_current_year_d - value_current_year_c

                if diff_value_previous_year < 0:
                    value_previous_year += diff_value_previous_year

                if diff_value_current_year < 0:
                    value_current_year += diff_value_current_year

        return (value_previous_year, value_current_year, previous_key,
                current_key)

    period_list = get_period_list(int(filters.to_fiscal_year) - 1,
                                  filters.to_fiscal_year,
                                  filters.periodicity,
                                  company=filters.company)

    currency = filters.presentation_currency or frappe.get_cached_value(
        'Company', filters.company, "default_currency")

    if period_list:
        current_year_from_date = period_list[len(period_list) - 1]
        current_year_from_date.from_date = datetime.strptime(
            filters.period_start_date, '%Y-%m-%d').date()
        current_year_from_date.to_date = datetime.strptime(
            filters.period_end_date, '%Y-%m-%d').date()
        period_list[len(period_list) - 1] = current_year_from_date

    grouper = {}

    asset = get_data(filters.company,
                     "Asset",
                     "Debit",
                     period_list,
                     grouper,
                     only_current_fiscal_year=False,
                     filters=filters,
                     accumulated_values=filters.accumulated_values)

    liability = get_data(filters.company,
                         "Liability",
                         "Credit",
                         period_list,
                         grouper,
                         only_current_fiscal_year=False,
                         filters=filters,
                         accumulated_values=filters.accumulated_values)

    equity = get_data(filters.company,
                      "Equity",
                      "Credit",
                      period_list,
                      grouper,
                      only_current_fiscal_year=False,
                      filters=filters,
                      accumulated_values=filters.accumulated_values)

    # grouper now hold leaf accounts that have credit and debit balance for current date and last fiscal year
    # at a little cost

    # Asset get debit balance of all specified accounts
    # Liability get the credit balance of all specified accounts
    remove_group_accounts(grouper)
    configuration = frappe.get_doc('Financial Report Configuration',
                                   {"report_code": "Bilan_TN"})
    grouping, group = dict(), None

    indentation = {
        "H1": 0.0,
        "H2": 1.0,
        "H3": 2.0,
        "H0": 2.0,
        "H4": 3.0,
        "H5": 4.0,
        "H6": 5.0,
    }

    for (index, config) in enumerate(
            configuration.get("financial_report_configuration_item")):
        group = config.get(
            'label') if config.get('type') == 'H1' or group is None else group

        if config.get('type') == 'H1':
            grouping[group] = {}
            parent = config.get('label')

        index_plus = index + 1
        if config.get('accounts') is None:
            account_ = dict(account=config.get('label'),
                            tag=config.get('type'),
                            title=config.get('label'),
                            index=indentation.get(config.get('type')),
                            indent=indentation.get(config.get('type')),
                            parent="",
                            is_group=1)

            grouping[group].update({"L%s" % index_plus: account_})
        elif str(config.get('accounts')).find("L") is not -1:
            total_current_year = total_previous_year = 0
            key_prev = key_current = ""

            codes = str(config.get('accounts')).split(" ")
            for code in codes:
                index_ = int(str(code[2:]))
                account_at_index = grouping[group].get("L%s" % index_)

                if account_at_index and account_at_index.get('value'):
                    total_previous_year = total_previous_year + account_at_index.get(
                        'value')[0]
                    total_current_year = total_current_year + account_at_index.get(
                        'value')[1]
                    key_prev = account_at_index.get('keys')[0]
                    key_current = account_at_index.get('keys')[1]

            account_ = dict(account=config.get('label'),
                            tag=config.get('type'),
                            title=config.get('label'),
                            value=(total_previous_year, total_current_year),
                            indent=indentation.get(config.get('type')),
                            index=indentation.get(config.get('type')),
                            keys=(key_prev, key_current),
                            parent=parent,
                            is_group=0)

            account_[key_prev] = total_previous_year
            account_[key_current] = total_current_year

            grouping[group].update({"L%s" % index_plus: account_})
            set_parent_value(grouping[group], account_)
        else:
            prev, current, key1, key2 = compute_from_grouper(
                grouper,
                get_accounts_matched_account_number(filters.company,
                                                    config.get('accounts')),
                period_list)
            account_ = dict(account=config.get('label'),
                            tag=config.get('type'),
                            title=config.get('label'),
                            index=indentation.get(config.get('type')),
                            indent=indentation.get(config.get('type')),
                            value=(prev, current),
                            parent=parent,
                            keys=(key1, key2),
                            is_group=0)

            account_[key1] = prev
            account_[key2] = current

            grouping[group].update({"L%s" % index_plus: account_})

    columns = get_columns(filters.periodicity,
                          period_list,
                          filters.accumulated_values,
                          company=filters.company)

    data = []
    for a in [list(itervalues(iter)) for iter in itervalues(grouping)]:
        data.extend(a)

    return columns, data, None, None, None
Exemplo n.º 37
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
Exemplo n.º 38
0
def execute(filters=None):
	sales_accounts_names = get_sales_accounts_names(filters)

	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)

	liability = get_data(filters.company, "Liability", "Credit", period_list,
		only_current_fiscal_year=False, filters=filters,
		accumulated_values=filters.accumulated_values)

	assets = get_data(filters.company, "Asset", "Debit", period_list,
		only_current_fiscal_year=False, filters=filters,
		accumulated_values=filters.accumulated_values)

	assets_ = None

	for i in range(len(assets) - 1, 0, -1):
		if assets[i] and assets[i].get('account') == 'Total Asset (Debit)':
			assets_ = assets[i]
			break

	equity = get_data(filters.company, "Equity", "Credit", period_list,
		only_current_fiscal_year=False, filters=filters,
		accumulated_values=filters.accumulated_values)

	for i in range(len(equity) - 1, 0, -1):
		if equity[i] and equity[i].get('account') == 'Total Equity (Credit)':
			equity = equity[i]
			break

	net_profit_loss = get_net_profit_loss(income, expense, period_list, filters.company, filters.presentation_currency)
	# print(equity)
	data = []
	p_and_l_data = []
	p_and_l_data.extend(income or [])
	p_and_l_data.extend(expense or [])
	if net_profit_loss:
		p_and_l_data.append(net_profit_loss)

	data.extend(get_net_profit_margin(p_and_l_data, sales_accounts_names, period_list))
	data.extend(get_return_on_assets(net_profit_loss, assets_, period_list))
	data.extend(get_return_on_equity(net_profit_loss, equity, period_list))
	data.extend(get_current_ratio(assets, liability, period_list))

	# print(equity)
	# print('==================================================')
	# print(p_and_l_data)
	# print(data)

	columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company)
	# print(columns)

	return columns, data