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