brotherton-erpnext/erpnext/accounts/report/cash_flow/cash_flow.py
Deepesh Garg 24a2c9b978
feat: Date range in financial statements (#21020)
* feat: Date range in financial statements

* feat: Add date range filter in consolidated financial statement

* fix: Handle API changes in query_report

Co-authored-by: Saqib <nextchamp.saqib@gmail.com>
2020-04-07 12:16:25 +05:30

218 lines
7.2 KiB
Python

# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import cint, cstr
from erpnext.accounts.report.financial_statements import (get_period_list, get_columns, get_data)
from erpnext.accounts.report.profit_and_loss_statement.profit_and_loss_statement import get_net_profit_loss
from erpnext.accounts.utils import get_fiscal_year
from six import iteritems
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.period_start_date, filters.period_end_date, filters.filter_based_on,
filters.periodicity, company=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 = []
summary_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, filters)
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, summary_data)
add_total_row_account(data, data, _("Net Change in Cash"), period_list, company_currency, summary_data)
columns = get_columns(filters.periodicity, period_list, filters.accumulated_values, filters.company)
chart = get_chart_data(columns, data)
report_summary = get_report_summary(summary_data, company_currency)
return columns, data, None, chart, report_summary
def get_cash_flow_accounts():
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
return [operation_accounts, investing_accounts, financing_accounts]
def get_account_type_based_data(company, account_type, period_list, accumulated_values, filters):
data = {}
total = 0
for period in period_list:
start_date = get_start_date(period, accumulated_values, company)
amount = get_account_type_based_gl_data(company, start_date,
period['to_date'], account_type, filters)
if amount and account_type == "Depreciation":
amount *= -1
total += amount
data.setdefault(period["key"], amount)
data["total"] = total
return data
def get_account_type_based_gl_data(company, start_date, end_date, account_type, filters={}):
cond = ""
filters = frappe._dict(filters)
if filters.include_default_book_entries:
company_fb = frappe.db.get_value("Company", company, 'default_finance_book')
cond = """ AND (finance_book in (%s, %s, '') OR finance_book IS NULL)
""" %(frappe.db.escape(filters.finance_book), frappe.db.escape(company_fb))
else:
cond = " AND (finance_book in (%s, '') OR finance_book IS NULL)" %(frappe.db.escape(cstr(filters.finance_book)))
gl_sum = frappe.db.sql_list("""
select sum(credit) - sum(debit)
from `tabGL Entry`
where company=%s and posting_date >= %s and posting_date <= %s
and voucher_type != 'Period Closing Voucher'
and account in ( SELECT name FROM tabAccount WHERE account_type = %s) {cond}
""".format(cond=cond), (company, start_date, end_date, account_type))
return gl_sum[0] if gl_sum and gl_sum[0] else 0
def get_start_date(period, accumulated_values, company):
if not accumulated_values and period.get('from_date'):
return period['from_date']
start_date = period["year_start_date"]
if accumulated_values:
start_date = get_fiscal_year(period.to_date, company=company)[1]
return start_date
def add_total_row_account(out, data, label, period_list, currency, summary_data, consolidated = False):
total_row = {
"account_name": "'" + _("{0}").format(label) + "'",
"account": "'" + _("{0}").format(label) + "'",
"currency": currency
}
for row in data:
if row.get("parent_account"):
for period in period_list:
key = period if consolidated else period['key']
total_row.setdefault(key, 0.0)
total_row[key] += row.get(key, 0.0)
total_row.setdefault("total", 0.0)
total_row["total"] += row["total"]
out.append(total_row)
out.append({})
summary_data[label] = total_row["total"]
def get_report_summary(summary_data, currency):
report_summary = []
for label, value in iteritems(summary_data):
report_summary.append(
{
"value": value,
"label": label,
"datatype": "Currency",
"currency": currency
}
)
return report_summary
def get_chart_data(columns, data):
labels = [d.get("label") for d in columns[2:]]
datasets = [{'name':account.get('account').replace("'", ""), 'values': [account.get('total')]} for account in data if account.get('parent_account') == None and account.get('currency')]
datasets = datasets[:-1]
chart = {
"data": {
'labels': labels,
'datasets': datasets
},
"type": "bar"
}
chart["fieldtype"] = "Currency"
return chart