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