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345 lines
18 KiB
345 lines
18 KiB
# -*- coding: utf-8 -*-
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################################################################################
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#
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# Cybrosys Technologies Pvt. Ltd.
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#
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>).
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# Author: Ammu Raj (odoo@cybrosys.com)
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#
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# You can modify it under the terms of the GNU LESSER
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# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
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#
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# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
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# (LGPL v3) along with this program.
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# If not, see <http://www.gnu.org/licenses/>.
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#
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################################################################################
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import io
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import json
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from dateutil.relativedelta import relativedelta
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import xlsxwriter
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from datetime import datetime
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from odoo.tools import date_utils
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from odoo import api, fields, models
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class CashBookReport(models.TransientModel):
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"""For creating Cash Book report"""
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_name = 'cash.book.report'
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_description = 'Account Cash Book Report'
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@api.model
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def view_report(self):
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"""
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Retrieves and formats data for the cash book report.
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Returns a dictionary containing the following data:
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- 'move_lines_total': A dictionary containing the total debit, total
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credit, and currency symbol for each account in
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the cash journal.
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- 'accounts': A list of dictionaries, each representing an account
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in the cash journal. Each dictionary contains the
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'display_name' and 'name' of the account.
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- Additional data for each account: The key is the 'display_name' of the
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account, and the value is a list of
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dictionaries, each representing a
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move line for that account. Each
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move line dictionary contains the
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following
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data: 'date', 'journal_id', 'partner_id', 'move_name', 'debit',
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'move_id', 'credit', 'name', and 'ref'.
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"""
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data = {}
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move_lines_total = {}
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journals = self.env['account.journal'].search(
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[('type', '=', 'cash')])
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account_move_lines = self.env['account.move.line'].search(
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[('parent_state', '=', 'posted'),
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('journal_id', 'in', journals.ids)])
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accounts = account_move_lines.mapped('account_id').read(
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['display_name', 'name'])
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for account in accounts:
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move_lines = account_move_lines.filtered(
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lambda x: x.account_id.id == account['id'])
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move_line_data = move_lines.read(
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['date', 'journal_id', 'partner_id', 'move_name', 'debit',
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'move_id',
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'credit', 'name', 'ref'])
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data[move_lines.mapped('account_id').display_name] = move_line_data
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currency_id = self.env.company.currency_id.symbol
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move_lines_total[move_lines.mapped('account_id').display_name] = {
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'total_debit': round(sum(move_lines.mapped('debit')), 2),
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'total_credit': round(sum(move_lines.mapped('credit')), 2),
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'currency_id': currency_id}
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data['move_lines_total'] = move_lines_total
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data['accounts'] = accounts
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return data
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@api.model
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def get_filter_values(self, partner_id, data_range, account_list, options):
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"""
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Retrieves and formats filtered data for the cash book report based on
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the provided filter criteria.
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:param partner_id: List of partner IDs to filter the data by.
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:type partner_id: list
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:param data_range: Specifies the date range filter. Possible values are
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'month', 'year', 'quarter', 'last-month',
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'last-year', 'last-quarter', or a dictionary
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containing 'start_date' and/or 'end_date' fields.
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:type data_range: str or dict
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:param account_list: List of account IDs to filter the data by.
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:type account_list: list
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:param options: Dictionary containing additional options for filtering
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the data. The 'draft' option indicates
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whether to include draft journal entries in the data.
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:type options: dict
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:return: A dictionary containing the following data:
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- 'move_lines_total': A dictionary containing the total debit,
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total credit, and currency symbol
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for each account in the cash journal.
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- Additional data for each account: The key is the
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'display_name' of account,
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and the value is a list of
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dictionaries, each
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representing a move line for
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that account. Each move line
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dictionary contains the
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following
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data: 'date', 'journal_id', 'partner_id', 'move_name',
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debit', 'move_id', 'credit', 'name', and 'ref'.
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:rtype: dict
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"""
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data = {}
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move_lines_total = {}
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today = fields.Date.today()
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quarter_start, quarter_end = date_utils.get_quarter(today)
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previous_quarter_start = quarter_start - relativedelta(months=3)
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previous_quarter_end = quarter_start - relativedelta(days=1)
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journals = self.env['account.journal'].search([('type', '=', 'cash')])
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option_domain = ['posted']
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if options is not None:
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if 'draft' in options:
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option_domain = ['posted', 'draft']
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if partner_id:
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domain = [('parent_state', 'in', option_domain),
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('journal_id', 'in', journals.ids),
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('partner_id', 'in', partner_id), ]
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else:
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domain = [('parent_state', 'in', option_domain),
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('journal_id', 'in', journals.ids), ]
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if account_list:
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domain += ('account_id', 'in', account_list),
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if data_range:
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if data_range == 'month':
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account_move_lines = self.env['account.move.line'].search(
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domain).filtered(
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lambda x: x.date.month == fields.Date.today().month)
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elif data_range == 'year':
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account_move_lines = self.env['account.move.line'].search(
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domain).filtered(
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lambda x: x.date.year == fields.Date.today().year)
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elif data_range == 'quarter':
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domain += ('date', '>=', quarter_start), (
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'date', '<=', quarter_end)
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account_move_lines = self.env['account.move.line'].search(
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domain)
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elif data_range == 'last-month':
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account_move_lines = self.env['account.move.line'].search(
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domain).filtered(
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lambda x: x.date.month == fields.Date.today().month - 1)
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elif data_range == 'last-year':
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account_move_lines = self.env['account.move.line'].search(
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domain).filtered(
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lambda x: x.date.year == fields.Date.today().year - 1)
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elif data_range == 'last-quarter':
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domain += ('date', '>=', previous_quarter_start), (
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'date', '<=', previous_quarter_end)
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account_move_lines = self.env['account.move.line'].search(
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domain)
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elif 'start_date' in data_range and 'end_date' in data_range:
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start_date = datetime.strptime(data_range['start_date'],
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'%Y-%m-%d').date()
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end_date = datetime.strptime(data_range['end_date'],
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'%Y-%m-%d').date()
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domain += ('date', '>=', start_date), ('date', '<=', end_date),
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account_move_lines = self.env['account.move.line'].search(
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domain)
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elif 'start_date' in data_range:
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start_date = datetime.strptime(data_range['start_date'],
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'%Y-%m-%d').date()
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domain.append(('date', '>=', start_date))
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account_move_lines = self.env['account.move.line'].search(
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domain)
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elif 'end_date' in data_range:
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end_date = datetime.strptime(data_range['end_date'],
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'%Y-%m-%d').date()
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domain.append(('date', '<=', end_date))
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account_move_lines = self.env['account.move.line'].search(
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domain)
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else:
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account_move_lines = self.env['account.move.line'].search(domain)
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accounts = account_move_lines.mapped('account_id').read(
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['display_name'])
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for account in accounts:
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move_lines = account_move_lines.filtered(
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lambda x: x.account_id.id == account['id'])
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move_line_data = move_lines.read(
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['date', 'journal_id', 'partner_id', 'move_name', 'debit',
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'move_id',
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'credit', 'name', 'ref'])
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data[move_lines.mapped('account_id').display_name] = move_line_data
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currency_id = self.env.company.currency_id.symbol
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move_lines_total[move_lines.mapped('account_id').display_name] = {
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'total_debit': round(sum(move_lines.mapped('debit')), 2),
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'total_credit': round(sum(move_lines.mapped('credit')), 2),
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'currency_id': currency_id}
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data['move_lines_total'] = move_lines_total
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return data
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@api.model
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def get_xlsx_report(self, data, response, report_name, report_action):
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"""
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Generate an Excel report based on the provided data.
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:param data: The data used to generate the report.
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:type data: str (JSON format)
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:param response: The response object to write the report to.
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:type response: object
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:param report_name: The name of the report.
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:type report_name: str
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:return: None
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"""
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data = json.loads(data)
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output = io.BytesIO()
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workbook = xlsxwriter.Workbook(output, {'in_memory': True})
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start_date = data['filters']['start_date'] if \
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data['filters']['start_date'] else ''
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end_date = data['filters']['end_date'] if \
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data['filters']['end_date'] else ''
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sheet = workbook.add_worksheet()
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head = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '15px'})
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sub_heading = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '10px',
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'border': 1, 'bg_color': '#D3D3D3',
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'border_color': 'black'})
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filter_head = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '10px',
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'border': 1, 'bg_color': '#D3D3D3',
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'border_color': 'black'})
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filter_body = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '10px'})
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side_heading_sub = workbook.add_format(
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{'align': 'left', 'bold': True, 'font_size': '10px',
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'border': 1,
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'border_color': 'black'})
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side_heading_sub.set_indent(1)
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txt_name = workbook.add_format({'font_size': '10px', 'border': 1})
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txt_name.set_indent(2)
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sheet.set_column(0, 0, 30)
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sheet.set_column(1, 1, 20)
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sheet.set_column(2, 2, 15)
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sheet.set_column(3, 3, 15)
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col = 0
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sheet.write('A1:b1', report_name, head)
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sheet.write('B3:b4', 'Date Range', filter_head)
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sheet.write('B4:b4', 'Partners', filter_head)
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sheet.write('B5:b4', 'Accounts', filter_head)
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sheet.write('B6:b4', 'Options', filter_head)
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if start_date or end_date:
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sheet.merge_range('C3:G3', f"{start_date} to {end_date}",
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filter_body)
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if data['filters']['partner']:
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display_names = [partner.get('display_name', 'undefined') for
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partner in data['filters']['partner']]
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display_names_str = ', '.join(display_names)
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sheet.merge_range('C4:G4', display_names_str, filter_body)
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if data['filters']['account']:
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account_keys_str = ', '.join(data['filters']['account'])
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sheet.merge_range('C5:G5', account_keys_str, filter_body)
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if data['filters']['options']:
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option_keys = list(data['filters']['options'].keys())
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option_keys_str = ', '.join(option_keys)
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sheet.merge_range('C6:G6', option_keys_str, filter_body)
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if data:
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if report_action == 'dynamic_accounts_report.action_cash_book':
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sheet.write(8, col, ' ', sub_heading)
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sheet.merge_range('B9:C9', 'Journal', sub_heading)
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sheet.merge_range('D9:E9', 'Partner', sub_heading)
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sheet.merge_range('F9:G9', 'Ref', sub_heading)
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sheet.merge_range('H9:I9', 'Move', sub_heading)
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sheet.merge_range('J9:K9', 'Entry Label', sub_heading)
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sheet.merge_range('L9:M9', 'Debit', sub_heading)
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sheet.merge_range('N9:O9', 'Credit', sub_heading)
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sheet.merge_range('P9:Q9', 'Balance', sub_heading)
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row = 8
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for move_line in data['move_lines']:
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row += 1
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sheet.write(row, col, move_line, txt_name)
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sheet.merge_range(row, col + 1, row, col + 2, ' ',
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txt_name)
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sheet.merge_range(row, col + 3, row, col + 4, ' ',
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txt_name)
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sheet.merge_range(row, col + 5, row, col + 6, ' ',
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txt_name)
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sheet.merge_range(row, col + 7, row, col + 8, ' ',
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txt_name)
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sheet.merge_range(row, col + 9, row, col + 10, ' ',
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txt_name)
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sheet.merge_range(row, col + 11, row, col + 12,
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data['total'][move_line]['total_debit'],
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txt_name)
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sheet.merge_range(row, col + 13, row, col + 14,
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data['total'][move_line]['total_credit'],
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txt_name)
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sheet.merge_range(row, col + 15, row, col + 16,
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data['total'][move_line]['total_debit'] -
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data['total'][move_line]['total_credit'],
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txt_name)
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for rec in data['data'][move_line]:
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row += 1
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if rec['partner_id']:
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partner = rec['partner_id'][1]
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else:
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partner = ' '
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sheet.write(row, col, rec['date'], txt_name)
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sheet.merge_range(row, col + 1, row, col + 2,
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rec['journal_id'][1],
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txt_name)
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sheet.merge_range(row, col + 3, row, col + 4, partner,
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txt_name)
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sheet.merge_range(row, col + 5, row, col + 6,
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rec['ref'], txt_name)
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sheet.merge_range(row, col + 7, row, col + 8,
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rec['move_name'],
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txt_name)
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sheet.merge_range(row, col + 9, row, col + 10,
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rec['name'],
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txt_name)
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sheet.merge_range(row, col + 11, row, col + 12,
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rec['debit'], txt_name)
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sheet.merge_range(row, col + 13, row, col + 14,
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rec['credit'], txt_name)
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sheet.merge_range(row, col + 15, row, col + 16, ' ',
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txt_name)
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sheet.merge_range(row + 1, col, row + 1, col + 10, 'Total',
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filter_head)
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sheet.merge_range(row + 1, col + 11, row + 1, col + 12,
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data['grand_total']['total_debit'],
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filter_head)
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sheet.merge_range(row + 1, col + 13, row + 1, col + 14,
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data['grand_total']['total_credit'],
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filter_head)
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sheet.merge_range(row + 1, col + 15, row + 1, col + 16,
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float(data['grand_total']['total_debit']) -
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float(data['grand_total']['total_credit']),
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filter_head)
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workbook.close()
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output.seek(0)
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response.stream.write(output.read())
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output.close()
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