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import re
from collections import defaultdict
from openerp.osv import expression
from openerp.tools.safe_eval import safe_eval
MODE_VARIATION = 'p'
MODE_INITIAL = 'i'
MODE_END = 'e'
class AccountingExpressionProcessor(object):
""" Processor for accounting expressions.
Expressions of the form <field><mode>[accounts][optional move line domain]
are supported, where:
* field is bal, crd, deb
* mode is i (initial balance), e (ending balance),
p (moves over period)
* accounts is a list of accounts, possibly containing % wildcards
* an optional domain on analytic lines allowing filters on eg analytic
accounts or journal
Examples:
* bal[70]: balance of moves on account 70 over the period
(it is the same as balp[70]);
* bali[70,60]: initial balance of accounts 70 and 60;
* bale[1%]: balance of accounts starting with 1 at end of period.
How to use:
* repeatedly invoke parse_expr() for each expression containing
accounting variables as described above; this let the processor
group domains and modes and accounts;
* when all expressions have been parsed, invoke done_parsing()
to notify the processor that it can prepare to query (mainly
search all accounts - children, consolidation - that will need to
be queried;
* for each period, call do_queries(), then call replace_expr() for each
expression to replace accounting variables with their resulting value
for the given period.
How it works:
* by accumulating the expressions before hand, it ensure to do the
strict minimum number of queries to the database (for each period,
one query per domain and mode);
* it queries using the orm read_group which reduces to a query with
sum on debit and credit and group by on account_id (note: it seems
the orm then does one query per account to fetch the account
name...);
* additionally, one query per view/consolidation account is done to
discover the children accounts.
"""
ACC_RE = re.compile(r"(?P<field>\bbal|\bcrd|\bdeb)"
r"(?P<mode>[pise])?"
r"(?P<accounts>_[0-9]+|\[.*?\])"
r"(?P<domain>\[.*?\])?")
def __init__(self, env):
self.env = env
# before done_parsing: {(domain, mode): set(account_codes)}
# after done_parsing: {(domain, mode): set(account_ids)}
self._map_account_ids = defaultdict(set)
self._account_ids_by_code = defaultdict(set)
def _load_account_codes(self, account_codes, root_account):
account_model = self.env['account.account']
# TODO: account_obj is necessary because _get_children_and_consol
# does not work in new API?
account_obj = self.env.registry('account.account')
exact_codes = set()
like_codes = set()
for account_code in account_codes:
if account_code in self._account_ids_by_code:
continue
if account_code is None:
# by convention the root account is keyed as
# None in _account_ids_by_code, so it is consistent
# with what _parse_match_object returns for an
# empty list of account codes, ie [None]
exact_codes.add(root_account.code)
elif '%' in account_code:
like_codes.add(account_code)
else:
exact_codes.add(account_code)
for account in account_model.\
search([('code', 'in', list(exact_codes)),
('parent_id', 'child_of', root_account.id)]):
if account.code == root_account.code:
code = None
else:
code = account.code
if account.type in ('view', 'consolidation'):
self._account_ids_by_code[code].update(
account_obj._get_children_and_consol(
self.env.cr, self.env.uid,
[account.id],
self.env.context))
else:
self._account_ids_by_code[code].add(account.id)
for like_code in like_codes:
for account in account_model.\
search([('code', 'like', like_code),
('parent_id', 'child_of', root_account.id)]):
if account.type in ('view', 'consolidation'):
self._account_ids_by_code[like_code].update(
account_obj._get_children_and_consol(
self.env.cr, self.env.uid,
[account.id],
self.env.context))
else:
self._account_ids_by_code[like_code].add(account.id)
def _parse_match_object(self, mo):
"""Split a match object corresponding to an accounting variable
Returns field, mode, [account codes], [domain expression].
"""
field, mode, account_codes, domain = mo.groups()
if not mode:
mode = MODE_VARIATION
elif mode == 's':
mode = MODE_END
if account_codes.startswith('_'):
account_codes = account_codes[1:]
else:
account_codes = account_codes[1:-1]
if account_codes.strip():
account_codes = [a.strip() for a in account_codes.split(',')]
else:
account_codes = [None]
domain = domain or '[]'
domain = tuple(safe_eval(domain))
return field, mode, account_codes, domain
def parse_expr(self, expr):
"""Parse an expression, extracting accounting variables.
Domains and accounts are extracted and stored in the map
so when all expressions have been parsed, we know what to query.
"""
for mo in self.ACC_RE.finditer(expr):
_, mode, account_codes, domain = self._parse_match_object(mo)
key = (domain, mode)
self._map_account_ids[key].update(account_codes)
def done_parsing(self, root_account):
# load account codes and replace account codes by account ids in _map
for key, account_codes in self._map_account_ids.items():
self._load_account_codes(account_codes, root_account)
account_ids = set()
for account_code in account_codes:
account_ids.update(self._account_ids_by_code[account_code])
self._map_account_ids[key] = list(account_ids)
def get_aml_domain_for_expr(self, expr):
""" Get a domain on account.move.line for an expression.
Prerequisite: done_parsing() must have been invoked.
Returns a domain that can be used to search on account.move.line.
To be meaningful, this domain must be extended with a domain
obtained from get_aml_domain_for_dates()
"""
aml_domains = []
for mo in self.ACC_RE.finditer(expr):
field, _, account_codes, domain = self._parse_match_object(mo)
aml_domain = list(domain)
if account_codes:
account_ids = set()
for account_code in account_codes:
account_ids.update(self._account_ids_by_code[account_code])
aml_domain.append(('account_id', 'in', tuple(account_ids)))
if field == 'crd':
aml_domain.append(('credit', '>', 0))
elif field == 'deb':
aml_domain.append(('debit', '>', 0))
aml_domains.append(expression.normalize_domain(aml_domain))
return expression.OR(aml_domains)
def _period_has_moves(self, period):
move_model = self.env['account.move']
return bool(move_model.search([('period_id', '=', period.id)],
limit=1))
def _get_previous_opening_period(self, period, company_id):
period_model = self.env['account.period']
periods = period_model.search(
[('date_start', '<=', period.date_start),
('special', '=', True),
('company_id', '=', company_id)],
order="date_start desc",
limit=1)
return periods and periods[0]
def _get_previous_normal_period(self, period, company_id):
period_model = self.env['account.period']
periods = period_model.search(
[('date_start', '<', period.date_start),
('special', '=', False),
('company_id', '=', company_id)],
order="date_start desc",
limit=1)
return periods and periods[0]
def _get_first_normal_period(self, company_id):
period_model = self.env['account.period']
periods = period_model.search(
[('special', '=', False),
('company_id', '=', company_id)],
order="date_start asc",
limit=1)
return periods and periods[0]
def _get_period_ids_between(self, period_from, period_to, company_id):
period_model = self.env['account.period']
periods = period_model.search(
[('date_start', '>=', period_from.date_start),
('date_stop', '<=', period_to.date_stop),
('special', '=', False),
('company_id', '=', company_id)])
period_ids = [p.id for p in periods]
if period_from.special:
period_ids.append(period_from.id)
return period_ids
def _get_period_company_ids(self, period_from, period_to):
period_model = self.env['account.period']
periods = period_model.search(
[('date_start', '>=', period_from.date_start),
('date_stop', '<=', period_to.date_stop),
('special', '=', False)])
return set([p.company_id.id for p in periods])
def _get_period_ids_for_mode(self, period_from, period_to, mode):
assert not period_from.special
assert not period_to.special
assert period_from.company_id == period_to.company_id
assert period_from.date_start <= period_to.date_start
period_ids = []
for company_id in self._get_period_company_ids(period_from, period_to):
if mode == MODE_VARIATION:
period_ids.extend(self._get_period_ids_between(
period_from, period_to, company_id))
else:
if mode == MODE_INITIAL:
period_to = self._get_previous_normal_period(
period_from, company_id)
# look for opening period with moves
opening_period = self._get_previous_opening_period(
period_from, company_id)
if opening_period and \
self._period_has_moves(opening_period[0]):
# found opening period with moves
if opening_period.date_start == period_from.date_start and \
mode == MODE_INITIAL:
# if the opening period has the same start date as
# period_from, then we'll find the initial balance
# in the initial period and that's it
period_ids.append(opening_period[0].id)
continue
period_from = opening_period[0]
else:
# no opening period with moves,
# use very first normal period
period_from = self._get_first_normal_period(company_id)
if period_to:
period_ids.extend(self._get_period_ids_between(
period_from, period_to, company_id))
return period_ids
def get_aml_domain_for_dates(self, date_from, date_to,
period_from, period_to,
mode,
target_move):
if period_from and period_to:
period_ids = self._get_period_ids_for_mode(
period_from, period_to, mode)
domain = [('period_id', 'in', period_ids)]
else:
domain = [('date', '>=', date_from), ('date', '<=', date_to)]
if target_move == 'posted':
domain.append(('move_id.state', '=', 'posted'))
return domain
def do_queries(self, date_from, date_to, period_from, period_to,
target_move):
aml_model = self.env['account.move.line']
# {(domain, mode): {account_id: (debit, credit)}}
self._data = defaultdict(dict)
domain_by_mode = {}
for key in self._map_account_ids:
domain, mode = key
if mode not in domain_by_mode:
domain_by_mode[mode] = \
self.get_aml_domain_for_dates(date_from, date_to,
period_from, period_to,
mode, target_move)
domain = list(domain) + domain_by_mode[mode]
domain.append(('account_id', 'in', self._map_account_ids[key]))
# fetch sum of debit/credit, grouped by account_id
accs = aml_model.read_group(domain,
['debit', 'credit', 'account_id'],
['account_id'])
for acc in accs:
self._data[key][acc['account_id'][0]] = \
(acc['debit'] or 0.0, acc['credit'] or 0.0)
def replace_expr(self, expr):
"""Replace accounting variables in an expression by their amount.
Returns a new expression.
This method must be executed after do_queries().
"""
def f(mo):
field, mode, account_codes, domain = self._parse_match_object(mo)
key = (domain, mode)
account_ids_data = self._data[key]
v = 0.0
for account_code in account_codes:
account_ids = self._account_ids_by_code[account_code]
for account_id in account_ids:
debit, credit = \
account_ids_data.get(account_id, (0.0, 0.0))
if field == 'bal':
v += debit - credit
elif field == 'deb':
v += debit
elif field == 'crd':
v += credit
return '(' + repr(v) + ')'
return self.ACC_RE.sub(f, expr)