brotherton-erpnext/erpnext/accounts/report/financial_statements.py

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# -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import re
from past.builtins import cmp
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import functools
import frappe, erpnext
from erpnext.accounts.report.utils import get_currency, convert_to_presentation_currency
from erpnext.accounts.utils import get_fiscal_year
from frappe import _
from frappe.utils import (flt, getdate, get_first_day, add_months, add_days, formatdate, cstr)
from six import itervalues
from erpnext.accounts.doctype.accounting_dimension.accounting_dimension import get_accounting_dimensions
def get_period_list(from_fiscal_year, to_fiscal_year, periodicity, accumulated_values=False,
company=None, reset_period_on_fy_change=True):
"""Get a list of dict {"from_date": from_date, "to_date": to_date, "key": key, "label": label}
Periodicity can be (Yearly, Quarterly, Monthly)"""
fiscal_year = get_fiscal_year_data(from_fiscal_year, to_fiscal_year)
validate_fiscal_year(fiscal_year, from_fiscal_year, to_fiscal_year)
# start with first day, so as to avoid year to_dates like 2-April if ever they occur]
year_start_date = getdate(fiscal_year.year_start_date)
year_end_date = getdate(fiscal_year.year_end_date)
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months_to_add = {
"Yearly": 12,
"Half-Yearly": 6,
"Quarterly": 3,
"Monthly": 1
}[periodicity]
period_list = []
start_date = year_start_date
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months = get_months(year_start_date, year_end_date)
for i in range(months // months_to_add):
period = frappe._dict({
"from_date": start_date
})
to_date = add_months(start_date, months_to_add)
start_date = to_date
if to_date == get_first_day(to_date):
# if to_date is the first day, get the last day of previous month
to_date = add_days(to_date, -1)
if to_date <= year_end_date:
# the normal case
period.to_date = to_date
else:
# if a fiscal year ends before a 12 month period
period.to_date = year_end_date
period.to_date_fiscal_year = get_fiscal_year(period.to_date, company=company)[0]
period.from_date_fiscal_year_start_date = get_fiscal_year(period.from_date, company=company)[1]
period_list.append(period)
if period.to_date == year_end_date:
break
# common processing
for opts in period_list:
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key = opts["to_date"].strftime("%b_%Y").lower()
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if periodicity == "Monthly" and not accumulated_values:
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label = formatdate(opts["to_date"], "MMM YYYY")
else:
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if not accumulated_values:
label = get_label(periodicity, opts["from_date"], opts["to_date"])
else:
if reset_period_on_fy_change:
label = get_label(periodicity, opts.from_date_fiscal_year_start_date, opts["to_date"])
else:
label = get_label(periodicity, period_list[0].from_date, opts["to_date"])
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opts.update({
"key": key.replace(" ", "_").replace("-", "_"),
"label": label,
"year_start_date": year_start_date,
"year_end_date": year_end_date
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})
return period_list
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def get_fiscal_year_data(from_fiscal_year, to_fiscal_year):
fiscal_year = frappe.db.sql("""select min(year_start_date) as year_start_date,
max(year_end_date) as year_end_date from `tabFiscal Year` where
name between %(from_fiscal_year)s and %(to_fiscal_year)s""",
{'from_fiscal_year': from_fiscal_year, 'to_fiscal_year': to_fiscal_year}, as_dict=1)
return fiscal_year[0] if fiscal_year else {}
def validate_fiscal_year(fiscal_year, from_fiscal_year, to_fiscal_year):
if not fiscal_year.get('year_start_date') and not fiscal_year.get('year_end_date'):
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frappe.throw(_("End Year cannot be before Start Year"))
def get_months(start_date, end_date):
diff = (12 * end_date.year + end_date.month) - (12 * start_date.year + start_date.month)
return diff + 1
def get_label(periodicity, from_date, to_date):
if periodicity == "Yearly":
if formatdate(from_date, "YYYY") == formatdate(to_date, "YYYY"):
label = formatdate(from_date, "YYYY")
else:
label = formatdate(from_date, "YYYY") + "-" + formatdate(to_date, "YYYY")
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else:
label = formatdate(from_date, "MMM YY") + "-" + formatdate(to_date, "MMM YY")
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return label
def get_data(
company, root_type, balance_must_be, period_list, filters=None,
accumulated_values=1, only_current_fiscal_year=True, ignore_closing_entries=False,
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ignore_accumulated_values_for_fy=False , total = True):
accounts = get_accounts(company, root_type)
if not accounts:
return None
accounts, accounts_by_name, parent_children_map = filter_accounts(accounts)
company_currency = get_appropriate_currency(company, filters)
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gl_entries_by_account = {}
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for root in frappe.db.sql("""select lft, rgt from tabAccount
where root_type=%s and ifnull(parent_account, '') = ''""", root_type, as_dict=1):
set_gl_entries_by_account(
company,
period_list[0]["year_start_date"] if only_current_fiscal_year else None,
period_list[-1]["to_date"],
root.lft, root.rgt, filters,
gl_entries_by_account, ignore_closing_entries=ignore_closing_entries
)
calculate_values(
accounts_by_name, gl_entries_by_account, period_list, accumulated_values, ignore_accumulated_values_for_fy)
accumulate_values_into_parents(accounts, accounts_by_name, period_list, accumulated_values)
out = prepare_data(accounts, balance_must_be, period_list, company_currency)
out = filter_out_zero_value_rows(out, parent_children_map)
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if out and total:
add_total_row(out, root_type, balance_must_be, period_list, company_currency)
return out
def get_appropriate_currency(company, filters=None):
if filters and filters.get("presentation_currency"):
return filters["presentation_currency"]
else:
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return frappe.get_cached_value('Company', company, "default_currency")
def calculate_values(
accounts_by_name, gl_entries_by_account, period_list, accumulated_values, ignore_accumulated_values_for_fy):
for entries in itervalues(gl_entries_by_account):
for entry in entries:
d = accounts_by_name.get(entry.account)
if not d:
frappe.msgprint(
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_("Could not retrieve information for {0}.").format(entry.account), title="Error",
raise_exception=1
)
for period in period_list:
# check if posting date is within the period
if entry.posting_date <= period.to_date:
if (accumulated_values or entry.posting_date >= period.from_date) and \
(not ignore_accumulated_values_for_fy or
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entry.fiscal_year == period.to_date_fiscal_year):
d[period.key] = d.get(period.key, 0.0) + flt(entry.debit) - flt(entry.credit)
if entry.posting_date < period_list[0].year_start_date:
d["opening_balance"] = d.get("opening_balance", 0.0) + flt(entry.debit) - flt(entry.credit)
def accumulate_values_into_parents(accounts, accounts_by_name, period_list, accumulated_values):
"""accumulate children's values in parent accounts"""
for d in reversed(accounts):
if d.parent_account:
for period in period_list:
accounts_by_name[d.parent_account][period.key] = \
accounts_by_name[d.parent_account].get(period.key, 0.0) + d.get(period.key, 0.0)
accounts_by_name[d.parent_account]["opening_balance"] = \
accounts_by_name[d.parent_account].get("opening_balance", 0.0) + d.get("opening_balance", 0.0)
def prepare_data(accounts, balance_must_be, period_list, company_currency):
data = []
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year_start_date = period_list[0]["year_start_date"].strftime("%Y-%m-%d")
year_end_date = period_list[-1]["year_end_date"].strftime("%Y-%m-%d")
for d in accounts:
# add to output
has_value = False
total = 0
row = frappe._dict({
"account": _(d.name),
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"parent_account": _(d.parent_account) if d.parent_account else '',
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"indent": flt(d.indent),
"year_start_date": year_start_date,
"year_end_date": year_end_date,
"currency": company_currency,
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"include_in_gross": d.include_in_gross,
"account_type": d.account_type,
"is_group": d.is_group,
"opening_balance": d.get("opening_balance", 0.0) * (1 if balance_must_be=="Debit" else -1),
"account_name": ('%s - %s' %(_(d.account_number), _(d.account_name))
if d.account_number else _(d.account_name))
})
for period in period_list:
if d.get(period.key) and balance_must_be == "Credit":
# change sign based on Debit or Credit, since calculation is done using (debit - credit)
d[period.key] *= -1
row[period.key] = flt(d.get(period.key, 0.0), 3)
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if abs(row[period.key]) >= 0.005:
# ignore zero values
has_value = True
total += flt(row[period.key])
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row["has_value"] = has_value
row["total"] = total
data.append(row)
return data
def filter_out_zero_value_rows(data, parent_children_map, show_zero_values=False):
data_with_value = []
for d in data:
if show_zero_values or d.get("has_value"):
data_with_value.append(d)
else:
# show group with zero balance, if there are balances against child
children = [child.name for child in parent_children_map.get(d.get("account")) or []]
if children:
for row in data:
if row.get("account") in children and row.get("has_value"):
data_with_value.append(d)
break
return data_with_value
def add_total_row(out, root_type, balance_must_be, period_list, company_currency):
total_row = {
"account_name": _("Total {0} ({1})").format(_(root_type), _(balance_must_be)),
"account": _("Total {0} ({1})").format(_(root_type), _(balance_must_be)),
"currency": company_currency
}
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for row in out:
if not row.get("parent_account"):
for period in period_list:
total_row.setdefault(period.key, 0.0)
total_row[period.key] += row.get(period.key, 0.0)
row[period.key] = row.get(period.key, 0.0)
total_row.setdefault("total", 0.0)
total_row["total"] += flt(row["total"])
row["total"] = ""
if "total" in total_row:
out.append(total_row)
# blank row after Total
out.append({})
def get_accounts(company, root_type):
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return frappe.db.sql("""
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select name, account_number, parent_account, lft, rgt, root_type, report_type, account_name, include_in_gross, account_type, is_group, lft, rgt
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from `tabAccount`
where company=%s and root_type=%s order by lft""", (company, root_type), as_dict=True)
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def filter_accounts(accounts, depth=10):
parent_children_map = {}
accounts_by_name = {}
for d in accounts:
accounts_by_name[d.name] = d
parent_children_map.setdefault(d.parent_account or None, []).append(d)
filtered_accounts = []
def add_to_list(parent, level):
if level < depth:
children = parent_children_map.get(parent) or []
sort_accounts(children, is_root=True if parent==None else False)
for child in children:
child.indent = level
filtered_accounts.append(child)
add_to_list(child.name, level + 1)
add_to_list(None, 0)
return filtered_accounts, accounts_by_name, parent_children_map
def sort_accounts(accounts, is_root=False, key="name"):
"""Sort root types as Asset, Liability, Equity, Income, Expense"""
def compare_accounts(a, b):
if re.split('\W+', a[key])[0].isdigit():
# if chart of accounts is numbered, then sort by number
return cmp(a[key], b[key])
elif is_root:
if a.report_type != b.report_type and a.report_type == "Balance Sheet":
return -1
if a.root_type != b.root_type and a.root_type == "Asset":
return -1
if a.root_type == "Liability" and b.root_type == "Equity":
return -1
if a.root_type == "Income" and b.root_type == "Expense":
return -1
else:
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# sort by key (number) or name
return cmp(a[key], b[key])
return 1
accounts.sort(key = functools.cmp_to_key(compare_accounts))
def set_gl_entries_by_account(
company, from_date, to_date, root_lft, root_rgt, filters, gl_entries_by_account, ignore_closing_entries=False):
"""Returns a dict like { "account": [gl entries], ... }"""
additional_conditions = get_additional_conditions(from_date, ignore_closing_entries, filters)
accounts = frappe.db.sql_list("""select name from `tabAccount`
where lft >= %s and rgt <= %s and company = %s""", (root_lft, root_rgt, company))
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additional_conditions += " and account in ({})"\
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.format(", ".join([frappe.db.escape(d) for d in accounts]))
gl_filters = {
"company": company,
"from_date": from_date,
"to_date": to_date,
"finance_book": cstr(filters.get("finance_book"))
}
if filters.get("include_default_book_entries"):
gl_filters["company_fb"] = frappe.db.get_value("Company",
company, 'default_finance_book')
for key, value in filters.items():
if value:
gl_filters.update({
key: value
})
gl_entries = frappe.db.sql("""select posting_date, account, debit, credit, is_opening, fiscal_year, debit_in_account_currency, credit_in_account_currency, account_currency from `tabGL Entry`
where company=%(company)s
{additional_conditions}
and posting_date <= %(to_date)s
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order by account, posting_date""".format(additional_conditions=additional_conditions), gl_filters, as_dict=True) #nosec
if filters and filters.get('presentation_currency'):
convert_to_presentation_currency(gl_entries, get_currency(filters))
for entry in gl_entries:
gl_entries_by_account.setdefault(entry.account, []).append(entry)
return gl_entries_by_account
def get_additional_conditions(from_date, ignore_closing_entries, filters):
additional_conditions = []
accounting_dimensions = get_accounting_dimensions()
if ignore_closing_entries:
additional_conditions.append("ifnull(voucher_type, '')!='Period Closing Voucher'")
if from_date:
additional_conditions.append("posting_date >= %(from_date)s")
if filters:
if filters.get("project"):
if not isinstance(filters.get("project"), list):
filters.project = frappe.parse_json(filters.get("project"))
additional_conditions.append("project in %(project)s")
if filters.get("cost_center"):
filters.cost_center = get_cost_centers_with_children(filters.cost_center)
additional_conditions.append("cost_center in %(cost_center)s")
if filters.get("include_default_book_entries"):
additional_conditions.append("(finance_book in (%(finance_book)s, %(company_fb)s, '') OR finance_book IS NULL)")
else:
additional_conditions.append("(finance_book in (%(finance_book)s, '') OR finance_book IS NULL)")
if accounting_dimensions:
for dimension in accounting_dimensions:
if filters.get(dimension):
additional_conditions.append("{0} in (%({0})s)".format(dimension))
return " and {}".format(" and ".join(additional_conditions)) if additional_conditions else ""
def get_cost_centers_with_children(cost_centers):
if not isinstance(cost_centers, list):
cost_centers = [d.strip() for d in cost_centers.strip().split(',') if d]
all_cost_centers = []
for d in cost_centers:
if frappe.db.exists("Cost Center", d):
lft, rgt = frappe.db.get_value("Cost Center", d, ["lft", "rgt"])
children = frappe.get_all("Cost Center", filters={"lft": [">=", lft], "rgt": ["<=", rgt]})
all_cost_centers += [c.name for c in children]
else:
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frappe.throw(_("Cost Center: {0} does not exist").format(d))
return list(set(all_cost_centers))
def get_columns(periodicity, period_list, accumulated_values=1, company=None):
columns = [{
"fieldname": "account",
"label": _("Account"),
"fieldtype": "Link",
"options": "Account",
"width": 300
}]
if company:
columns.append({
"fieldname": "currency",
"label": _("Currency"),
"fieldtype": "Link",
"options": "Currency",
"hidden": 1
})
for period in period_list:
columns.append({
"fieldname": period.key,
"label": period.label,
"fieldtype": "Currency",
"options": "currency",
"width": 150
})
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if periodicity!="Yearly":
if not accumulated_values:
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columns.append({
"fieldname": "total",
"label": _("Total"),
"fieldtype": "Currency",
"width": 150
})
return columns