2015-03-03 09:25:30 +00:00
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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2014-07-22 13:32:11 +00:00
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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2017-05-10 14:10:36 +00:00
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import frappe, erpnext
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2014-07-22 13:32:11 +00:00
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from frappe import _
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2016-03-10 06:31:01 +00:00
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from frappe.utils import flt, getdate, formatdate, cstr
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from erpnext.accounts.report.financial_statements \
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import filter_accounts, set_gl_entries_by_account, filter_out_zero_value_rows
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2014-07-22 13:32:11 +00:00
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value_fields = ("opening_debit", "opening_credit", "debit", "credit", "closing_debit", "closing_credit")
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2015-06-14 12:19:29 +00:00
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def execute(filters=None):
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2014-07-22 13:32:11 +00:00
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validate_filters(filters)
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data = get_data(filters)
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columns = get_columns()
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return columns, data
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def validate_filters(filters):
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2016-01-11 06:29:08 +00:00
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if not filters.fiscal_year:
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2016-02-15 06:33:04 +00:00
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frappe.throw(_("Fiscal Year {0} is required").format(filters.fiscal_year))
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fiscal_year = frappe.db.get_value("Fiscal Year", filters.fiscal_year, ["year_start_date", "year_end_date"], as_dict=True)
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if not fiscal_year:
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frappe.throw(_("Fiscal Year {0} does not exist").format(filters.fiscal_year))
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else:
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filters.year_start_date = getdate(fiscal_year.year_start_date)
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filters.year_end_date = getdate(fiscal_year.year_end_date)
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2014-07-22 13:32:11 +00:00
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if not filters.from_date:
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filters.from_date = filters.year_start_date
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if not filters.to_date:
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filters.to_date = filters.year_end_date
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filters.from_date = getdate(filters.from_date)
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filters.to_date = getdate(filters.to_date)
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if filters.from_date > filters.to_date:
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frappe.throw(_("From Date cannot be greater than To Date"))
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if (filters.from_date < filters.year_start_date) or (filters.from_date > filters.year_end_date):
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frappe.msgprint(_("From Date should be within the Fiscal Year. Assuming From Date = {0}")\
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.format(formatdate(filters.year_start_date)))
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filters.from_date = filters.year_start_date
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if (filters.to_date < filters.year_start_date) or (filters.to_date > filters.year_end_date):
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frappe.msgprint(_("To Date should be within the Fiscal Year. Assuming To Date = {0}")\
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.format(formatdate(filters.year_end_date)))
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filters.to_date = filters.year_end_date
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def get_data(filters):
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2018-02-02 12:27:30 +00:00
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accounts = frappe.db.sql("""select name, parent_account, account_name, account_number, root_type, report_type, lft, rgt
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2018-01-29 13:47:12 +00:00
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from `tabAccount` where company=%s order by account_name, lft""", filters.company, as_dict=True)
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2017-05-10 14:10:36 +00:00
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company_currency = erpnext.get_company_currency(filters.company)
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2014-07-22 13:32:11 +00:00
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if not accounts:
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return None
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2016-03-10 06:31:01 +00:00
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accounts, accounts_by_name, parent_children_map = filter_accounts(accounts)
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2014-07-22 13:32:11 +00:00
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min_lft, max_rgt = frappe.db.sql("""select min(lft), max(rgt) from `tabAccount`
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where company=%s""", (filters.company,))[0]
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2015-12-01 12:47:18 +00:00
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gl_entries_by_account = {}
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set_gl_entries_by_account(filters.company, filters.from_date,
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2016-08-24 13:42:14 +00:00
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filters.to_date, min_lft, max_rgt, filters, gl_entries_by_account, ignore_closing_entries=not flt(filters.with_period_closing_entry))
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2014-07-22 13:32:11 +00:00
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2015-06-14 12:19:29 +00:00
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opening_balances = get_opening_balances(filters)
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2017-05-10 14:10:36 +00:00
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total_row = calculate_values(accounts, gl_entries_by_account, opening_balances, filters, company_currency)
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2014-07-22 13:32:11 +00:00
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accumulate_values_into_parents(accounts, accounts_by_name)
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2017-05-10 14:10:36 +00:00
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data = prepare_data(accounts, filters, total_row, parent_children_map, company_currency)
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2016-03-10 06:31:01 +00:00
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data = filter_out_zero_value_rows(data, parent_children_map,
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show_zero_values=filters.get("show_zero_values"))
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2014-07-22 13:32:11 +00:00
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return data
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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def get_opening_balances(filters):
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balance_sheet_opening = get_rootwise_opening_balances(filters, "Balance Sheet")
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pl_opening = get_rootwise_opening_balances(filters, "Profit and Loss")
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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balance_sheet_opening.update(pl_opening)
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return balance_sheet_opening
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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def get_rootwise_opening_balances(filters, report_type):
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2016-09-12 06:37:58 +00:00
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additional_conditions = ""
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2016-10-17 11:27:52 +00:00
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if not filters.show_unclosed_fy_pl_balances:
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additional_conditions = " and posting_date >= %(year_start_date)s" \
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if report_type == "Profit and Loss" else ""
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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if not flt(filters.with_period_closing_entry):
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additional_conditions += " and ifnull(voucher_type, '')!='Period Closing Voucher'"
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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gle = frappe.db.sql("""
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2015-12-01 12:47:18 +00:00
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select
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account, sum(debit) as opening_debit, sum(credit) as opening_credit
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2015-06-14 12:19:29 +00:00
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from `tabGL Entry`
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2015-12-01 12:47:18 +00:00
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where
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2015-06-14 12:19:29 +00:00
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company=%(company)s
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{additional_conditions}
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2015-06-17 10:05:06 +00:00
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and (posting_date < %(from_date)s or ifnull(is_opening, 'No') = 'Yes')
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2015-06-14 12:19:29 +00:00
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and account in (select name from `tabAccount` where report_type=%(report_type)s)
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group by account""".format(additional_conditions=additional_conditions),
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{
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"company": filters.company,
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"from_date": filters.from_date,
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"report_type": report_type,
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"year_start_date": filters.year_start_date
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},
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as_dict=True)
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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opening = frappe._dict()
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for d in gle:
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opening.setdefault(d.account, d)
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2015-12-01 12:47:18 +00:00
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2015-06-14 12:19:29 +00:00
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return opening
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2017-05-10 14:10:36 +00:00
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def calculate_values(accounts, gl_entries_by_account, opening_balances, filters, company_currency):
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2014-07-22 13:32:11 +00:00
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init = {
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"opening_debit": 0.0,
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"opening_credit": 0.0,
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"debit": 0.0,
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"credit": 0.0,
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"closing_debit": 0.0,
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"closing_credit": 0.0
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}
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total_row = {
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2017-03-28 04:49:11 +00:00
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"account": "'" + _("Total") + "'",
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"account_name": "'" + _("Total") + "'",
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"warn_if_negative": True,
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"opening_debit": 0.0,
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"opening_credit": 0.0,
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"debit": 0.0,
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2017-03-28 04:49:11 +00:00
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"credit": 0.0,
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2017-12-06 07:44:28 +00:00
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"closing_debit": 0.0,
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"closing_credit": 0.0,
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2017-03-28 04:49:11 +00:00
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"parent_account": None,
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"indent": 0,
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"has_value": True,
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"currency": company_currency
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2014-07-22 13:32:11 +00:00
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}
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for d in accounts:
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d.update(init.copy())
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2015-06-17 09:39:33 +00:00
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# add opening
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d["opening_debit"] = opening_balances.get(d.name, {}).get("opening_debit", 0)
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d["opening_credit"] = opening_balances.get(d.name, {}).get("opening_credit", 0)
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2014-07-22 13:32:11 +00:00
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for entry in gl_entries_by_account.get(d.name, []):
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2015-06-18 05:02:42 +00:00
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if cstr(entry.is_opening) != "Yes":
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2015-06-17 09:39:33 +00:00
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d["debit"] += flt(entry.debit)
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d["credit"] += flt(entry.credit)
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2014-07-22 13:32:11 +00:00
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total_row["debit"] += d["debit"]
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total_row["credit"] += d["credit"]
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2017-12-06 07:44:28 +00:00
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total_row["opening_debit"] += d["opening_debit"]
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total_row["opening_credit"] += d["opening_credit"]
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total_row["closing_debit"] += (d["opening_debit"] + d["debit"])
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total_row["closing_credit"] += (d["opening_credit"] + d["credit"])
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2014-07-22 13:32:11 +00:00
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return total_row
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def accumulate_values_into_parents(accounts, accounts_by_name):
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for d in reversed(accounts):
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if d.parent_account:
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for key in value_fields:
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accounts_by_name[d.parent_account][key] += d[key]
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2017-05-10 14:10:36 +00:00
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def prepare_data(accounts, filters, total_row, parent_children_map, company_currency):
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data = []
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2018-01-29 13:47:12 +00:00
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tmpaccnt = sorted(accounts)
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2018-02-02 12:27:30 +00:00
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if not (accounts[0].account_number is None):
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2018-02-01 15:53:30 +00:00
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accounts = tmpaccnt
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2018-01-29 10:57:15 +00:00
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2015-04-29 13:09:33 +00:00
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for d in accounts:
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2014-07-22 13:32:11 +00:00
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has_value = False
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row = {
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"account_name": d.account_name,
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"account": d.name,
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"parent_account": d.parent_account,
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"indent": d.indent,
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"from_date": filters.from_date,
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2016-04-25 11:48:52 +00:00
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"to_date": filters.to_date,
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"currency": company_currency
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2014-07-22 13:32:11 +00:00
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}
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prepare_opening_and_closing(d)
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for key in value_fields:
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2016-03-10 06:31:01 +00:00
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row[key] = flt(d.get(key, 0.0), 3)
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if abs(row[key]) >= 0.005:
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# ignore zero values
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2014-07-22 13:32:11 +00:00
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has_value = True
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2016-03-10 06:31:01 +00:00
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row["has_value"] = has_value
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data.append(row)
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2014-07-22 13:32:11 +00:00
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data.extend([{},total_row])
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return data
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def get_columns():
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return [
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{
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"fieldname": "account",
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"label": _("Account"),
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"fieldtype": "Link",
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"options": "Account",
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"width": 300
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},
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{
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"fieldname": "opening_debit",
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"label": _("Opening (Dr)"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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},
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{
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"fieldname": "opening_credit",
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"label": _("Opening (Cr)"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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},
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{
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"fieldname": "debit",
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"label": _("Debit"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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},
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{
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"fieldname": "credit",
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"label": _("Credit"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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},
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{
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"fieldname": "closing_debit",
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"label": _("Closing (Dr)"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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},
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{
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"fieldname": "closing_credit",
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"label": _("Closing (Cr)"),
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"fieldtype": "Currency",
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2016-04-25 11:48:52 +00:00
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"options": "currency",
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2014-07-22 13:32:11 +00:00
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"width": 120
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2016-04-25 11:48:52 +00:00
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},
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{
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"fieldname": "currency",
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"label": _("Currency"),
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"fieldtype": "Link",
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"options": "Currency",
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"hidden": 1
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2014-07-22 13:32:11 +00:00
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}
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]
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def prepare_opening_and_closing(d):
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d["closing_debit"] = d["opening_debit"] + d["debit"]
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d["closing_credit"] = d["opening_credit"] + d["credit"]
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if d["closing_debit"] > d["closing_credit"]:
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d["closing_debit"] -= d["closing_credit"]
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d["closing_credit"] = 0.0
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else:
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d["closing_credit"] -= d["closing_debit"]
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d["closing_debit"] = 0.0
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if d["opening_debit"] > d["opening_credit"]:
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d["opening_debit"] -= d["opening_credit"]
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d["opening_credit"] = 0.0
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else:
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d["opening_credit"] -= d["opening_debit"]
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d["opening_debit"] = 0.0
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