1d7dbd3456
ifnull isn't really required when doing `!= 'anything'` because if it's null then value will be falsy. ifnull is only required when checking `= ''` if you treat `null = ''` Actuall better fix would be make things explcitly non-nullable, then we won't ever have to add this on such fields. ref: https://github.com/frappe/frappe/pull/21822
235 lines
6.3 KiB
Python
235 lines
6.3 KiB
Python
# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
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# For license information, please see license.txt
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import frappe
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from frappe import _
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from frappe.utils import cstr, flt
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from erpnext.accounts.doctype.accounting_dimension.accounting_dimension import get_dimensions
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from erpnext.accounts.report.financial_statements import (
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filter_accounts,
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filter_out_zero_value_rows,
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)
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from erpnext.accounts.report.trial_balance.trial_balance import validate_filters
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value_fields = ("income", "expense", "gross_profit_loss")
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def execute(filters=None):
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if filters.get("based_on") == "Accounting Dimension" and not filters.get("accounting_dimension"):
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frappe.throw(_("Select Accounting Dimension."))
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based_on = (
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filters.based_on if filters.based_on != "Accounting Dimension" else filters.accounting_dimension
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)
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validate_filters(filters)
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accounts = get_accounts_data(based_on, filters.get("company"))
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data = get_data(accounts, filters, based_on)
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columns = get_columns(filters)
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return columns, data
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def get_accounts_data(based_on, company):
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if based_on == "Cost Center":
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return frappe.db.sql(
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"""select name, parent_cost_center as parent_account, cost_center_name as account_name, lft, rgt
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from `tabCost Center` where company=%s order by name""",
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company,
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as_dict=True,
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)
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elif based_on == "Project":
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return frappe.get_all("Project", fields=["name"], filters={"company": company}, order_by="name")
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else:
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filters = {}
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doctype = frappe.unscrub(based_on)
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has_company = frappe.db.has_column(doctype, "company")
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if has_company:
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filters.update({"company": company})
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return frappe.get_all(doctype, fields=["name"], filters=filters, order_by="name")
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def get_data(accounts, filters, based_on):
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if not accounts:
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return []
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accounts, accounts_by_name, parent_children_map = filter_accounts(accounts)
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gl_entries_by_account = {}
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accounting_dimensions = get_dimensions(with_cost_center_and_project=True)[0]
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fieldname = ""
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for dimension in accounting_dimensions:
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if dimension["document_type"] == based_on:
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fieldname = dimension["fieldname"]
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set_gl_entries_by_account(
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filters.get("company"),
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filters.get("from_date"),
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filters.get("to_date"),
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fieldname,
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gl_entries_by_account,
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ignore_closing_entries=not flt(filters.get("with_period_closing_entry")),
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)
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total_row = calculate_values(accounts, gl_entries_by_account, filters)
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accumulate_values_into_parents(accounts, accounts_by_name)
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data = prepare_data(accounts, filters, total_row, parent_children_map, based_on)
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data = filter_out_zero_value_rows(
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data, parent_children_map, show_zero_values=filters.get("show_zero_values")
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)
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return data
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def calculate_values(accounts, gl_entries_by_account, filters):
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init = {"income": 0.0, "expense": 0.0, "gross_profit_loss": 0.0}
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total_row = {
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"cost_center": None,
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"account_name": "'" + _("Total") + "'",
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"warn_if_negative": True,
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"income": 0.0,
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"expense": 0.0,
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"gross_profit_loss": 0.0,
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"account": "'" + _("Total") + "'",
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"parent_account": None,
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"indent": 0,
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"has_value": True,
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}
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for d in accounts:
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d.update(init.copy())
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# add opening
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for entry in gl_entries_by_account.get(d.name, []):
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if cstr(entry.is_opening) != "Yes":
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if entry.type == "Income":
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d["income"] += flt(entry.credit) - flt(entry.debit)
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if entry.type == "Expense":
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d["expense"] += flt(entry.debit) - flt(entry.credit)
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d["gross_profit_loss"] = d.get("income") - d.get("expense")
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total_row["income"] += d["income"]
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total_row["expense"] += d["expense"]
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total_row["gross_profit_loss"] = total_row.get("income") - total_row.get("expense")
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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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def prepare_data(accounts, filters, total_row, parent_children_map, based_on):
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data = []
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company_currency = frappe.get_cached_value("Company", filters.get("company"), "default_currency")
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for d in accounts:
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has_value = False
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row = {
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"account_name": d.account_name or d.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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"fiscal_year": filters.get("fiscal_year"),
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"currency": company_currency,
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"based_on": based_on,
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}
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for key in value_fields:
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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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has_value = True
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row["has_value"] = has_value
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data.append(row)
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data.extend([{}, total_row])
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return data
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def get_columns(filters):
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return [
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{
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"fieldname": "account",
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"label": _(filters.get("based_on")),
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"fieldtype": "Link",
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"options": filters.get("based_on"),
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"width": 300,
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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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},
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{
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"fieldname": "income",
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"label": _("Income"),
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"fieldtype": "Currency",
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"options": "currency",
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"width": 305,
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},
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{
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"fieldname": "expense",
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"label": _("Expense"),
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"fieldtype": "Currency",
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"options": "currency",
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"width": 305,
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},
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{
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"fieldname": "gross_profit_loss",
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"label": _("Gross Profit / Loss"),
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"fieldtype": "Currency",
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"options": "currency",
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"width": 307,
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},
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]
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def set_gl_entries_by_account(
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company, from_date, to_date, based_on, gl_entries_by_account, ignore_closing_entries=False
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):
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"""Returns a dict like { "account": [gl entries], ... }"""
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additional_conditions = []
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if ignore_closing_entries:
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additional_conditions.append("and voucher_type !='Period Closing Voucher'")
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if from_date:
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additional_conditions.append("and posting_date >= %(from_date)s")
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gl_entries = frappe.db.sql(
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"""select posting_date, {based_on} as based_on, debit, credit,
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is_opening, (select root_type from `tabAccount` where name = account) as type
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from `tabGL Entry` where company=%(company)s
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{additional_conditions}
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and posting_date <= %(to_date)s
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and {based_on} is not null
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and is_cancelled = 0
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order by {based_on}, posting_date""".format(
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additional_conditions="\n".join(additional_conditions), based_on=based_on
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),
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{"company": company, "from_date": from_date, "to_date": to_date},
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as_dict=True,
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)
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for entry in gl_entries:
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gl_entries_by_account.setdefault(entry.based_on, []).append(entry)
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return gl_entries_by_account
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