Files
odoo_source/addons/account/populate/account_bank_statement.py
T
william 05dd0f6460 [IMP] account: populate
Task 2230635
Add _populate implementation for:
* Bank Statements
* Journals
* Journal Entries / Invoices
* Payments
* Reconcile Models

Load a chart of account for the first 3 companies, and load data only
for companies with a CoA installed.
2021-01-22 10:14:48 +00:00

135 lines
5.8 KiB
Python

# -*- coding: utf-8 -*-
"""Classes defining the populate factory for Bank Statements and related models."""
from odoo import models
from odoo.tools import populate
from dateutil.relativedelta import relativedelta
from functools import lru_cache
from collections import defaultdict
import logging
_logger = logging.getLogger(__name__)
class AccountBankStatement(models.Model):
"""Populate factory part for account.bank.statements."""
_inherit = "account.bank.statement"
_populate_sizes = {
'small': 10,
'medium': 1000,
'large': 20000,
}
_populate_dependencies = ['account.journal', 'res.company']
def _populate_factories(self):
company_ids = self.env['res.company'].search([
('chart_template_id', '!=', False),
('id', 'in', self.env.registry.populated_models['res.company']),
])
journal_ids = self.env['account.journal'].search([
('company_id', 'in', company_ids.ids),
('type', 'in', ('cash', 'bank')),
]).ids
return [
('journal_id', populate.iterate(journal_ids)),
('name', populate.constant('statement_{counter}')),
('date', populate.randdatetime(relative_before=relativedelta(years=-4))),
]
class AccountBankStatementLine(models.Model):
"""Populate factory part for account.bank.statements.line."""
_inherit = "account.bank.statement.line"
_populate_sizes = {
'small': 100,
'medium': 10000,
'large': 200000,
}
_populate_dependencies = ['account.bank.statement', 'res.partner']
def _populate_factories(self):
@lru_cache()
def search_partner_ids(company_id):
"""Search all the partners that a company has access to.
This method is cached, only one search is done per company_id.
:param company_id (int): the company to search partners for.
:return (list<int>): the ids of partner the company has access to.
"""
return self.env['res.partner'].search([
'|', ('company_id', '=', company_id), ('company_id', '=', False),
('id', 'in', self.env.registry.populated_models['res.partner']),
]).ids
def get_partner(random, values, **kwargs):
"""Get a partner by selecting inside the list of partner a company has access to.
There is also a chance of having no partner set.
:param random: seeded random number generator.
:param values (dict): the values already selected for the record.
:return (int): an id of a partner accessible by the company of the statement.
"""
company_id = self.env['account.bank.statement'].browse(values['statement_id']).company_id.id
partner = search_partner_ids(company_id)
return random.choices(partner + [False], [1/len(partner)] * len(partner) + [1])[0]
def get_date(random, values, **kwargs):
"""Get a date in the past.
This date can but up to 31 days before the statement linked to this line.
:param random: seeded random number generator.
:param values (dict): the values already selected for the record.
:return (datetime.date): a date up to 31 days before the date of the statement.
"""
statement_date = self.env['account.bank.statement'].browse(values['statement_id']).date
return statement_date + relativedelta(days=random.randint(-31, 0))
def get_amount(random, **kwargs):
"""Get a random amount between -1000 and 1000.
It is impossible to get a null amount. Because it would not be a valid statement line.
:param random: seeded random number generator.
:return (float): a number between -1000 and 1000.
"""
return random.uniform(-1000, 1000) or 1
def get_currency(random, values, **kwargs):
"""Get a randome currency.
The currency has to be empty if it is the same as the currency of the statement's journal's.
:param random: seeded random number generator.
:param values (dict): the values already selected for the record.
:return (int, bool): the id of an active currency or False if it is the same currency as
the statement's journal's currency.
"""
journal = self.env['account.bank.statement'].browse(values['statement_id']).journal_id
currency = random.choice(self.env['res.currency'].search([('active', '=', True)]).ids)
return currency if currency != (journal.currency_id or journal.company_id.currency_id).id else False
# Because we are accessing related fields of bank statements, a prefetch can improve the performances.
self = self.with_prefetch(self.env.registry.populated_models['account.bank.statement'])
return [
('statement_id', populate.randomize(self.env.registry.populated_models['account.bank.statement'])),
('partner_id', populate.compute(get_partner)),
('payment_ref', populate.constant('statement_{values[statement_id]}_{counter}')),
('date', populate.compute(get_date)),
('amount', populate.compute(get_amount)),
('currency_id', populate.compute(get_currency)),
]
def _populate(self, size):
records = super()._populate(size)
_logger.info('Posting Bank Statements')
statements = records.statement_id.sorted(lambda r: (r.date, r.name, r.id))
previous = defaultdict(int)
for statement in statements:
statement.balance_start = previous[statement.journal_id]
previous[statement.journal_id] = statement.balance_end_real = statement.balance_start + statement.total_entry_encoding
statements.button_post()
return records