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322 lines
16 KiB
322 lines
16 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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import xlsxwriter
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from odoo import models, fields, api
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class AgeReceivableReport(models.TransientModel):
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"""For creating Age Receivable report"""
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_name = 'age.receivable.report'
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_description = 'Aged Receivable Report'
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@api.model
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def view_report(self):
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"""
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Generate a report with move line data categorized by partner and debit
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difference.This method retrieves move line data from the
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'account.move.line' model, filters the records based on specific
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criteria (parent_state, account_type, reconciled),and categorizes the
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data by each partner's name. For each move line, it calculates the debit
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difference based on the number of days between today's date and the
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maturity date of the move line.
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Returns:
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dict: Dictionary containing move line data categorized by partner names.
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Each partner's data includes debit amounts and debit differences
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based on days between maturity date and today.
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The 'partner_totals' key contains summary data for each partner.
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"""
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partner_total = {}
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move_line_list = {}
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paid = self.env['account.move.line'].search(
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[('parent_state', '=', 'posted'),
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('account_type', '=', 'asset_receivable'),
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('reconciled', '=', False)])
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currency_id = self.env.company.currency_id.symbol
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partner_ids = paid.mapped('partner_id')
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today = fields.Date.today()
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for partner_id in partner_ids:
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move_line_ids = paid.filtered(
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lambda rec: rec.partner_id in partner_id)
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move_line_data = move_line_ids.read(
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['name', 'move_name', 'date', 'amount_currency', 'account_id',
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'date_maturity', 'currency_id', 'debit', 'move_id'])
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for val in move_line_data:
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if val['date_maturity']:
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diffrence = (today - val['date_maturity']).days
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val['diff0'] = val['debit'] if diffrence <= 0 else 0.0
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val['diff1'] = val['debit'] if 0 < diffrence <= 30 else 0.0
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val['diff2'] = val['debit'] if 30 < diffrence <= 60 else 0.0
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val['diff3'] = val['debit'] if 60 < diffrence <= 90 else 0.0
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val['diff4'] = val['debit'] if 90 < diffrence <= 120 else 0.0
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val['diff5'] = val['debit'] if diffrence > 120 else 0.0
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move_line_list[partner_id.name] = move_line_data
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partner_total[partner_id.name] = {
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'debit_sum': sum(val['debit'] for val in move_line_data),
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'diff0_sum': round(sum(val['diff0'] for val in move_line_data),
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2),
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'diff1_sum': round(sum(val['diff1'] for val in move_line_data),
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2),
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'diff2_sum': round(sum(val['diff2'] for val in move_line_data),
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2),
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'diff3_sum': round(sum(val['diff3'] for val in move_line_data),
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2),
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'diff4_sum': round(sum(val['diff4'] for val in move_line_data),
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2),
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'diff5_sum': round(sum(val['diff5'] for val in move_line_data),
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2),
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'currency_id': currency_id,
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'partner_id': partner_id.id
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}
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move_line_list['partner_totals'] = partner_total
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return move_line_list
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@api.model
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def get_filter_values(self, date, partner):
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"""
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Retrieve move line data categorized by partner and debit difference.
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Parameters:
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date (str): Date for filtering move lines (format: 'YYYY-MM-DD').
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partner (list): List of partner IDs to filter move lines for.
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Returns:
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dict: Dictionary containing move line data categorized by partner
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names.Includes debit amount categorization based on days
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difference.Contains partner-wise summary under
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'partner_totals' key.
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"""
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partner_total = {}
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move_line_list = {}
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if date:
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paid = self.env['account.move.line'].search(
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[('parent_state', '=', 'posted'),
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('account_type', '=', 'asset_receivable'),
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('reconciled', '=', False), ('date', '<=', date)])
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else:
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paid = self.env['account.move.line'].search(
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[('parent_state', '=', 'posted'),
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('account_type', '=', 'asset_receivable'),
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('reconciled', '=', False)])
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currency_id = self.env.company.currency_id.symbol
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if partner:
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partner_ids = self.env['res.partner'].search(
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[('id', 'in', partner)])
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else:
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partner_ids = paid.mapped('partner_id')
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today = fields.Date.today()
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for partner_id in partner_ids:
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move_line_ids = paid.filtered(
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lambda rec: rec.partner_id in partner_id)
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move_line_data = move_line_ids.read(
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['name', 'move_name', 'date', 'amount_currency', 'account_id',
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'date_maturity', 'currency_id', 'debit', 'move_id'])
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for val in move_line_data:
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if val['date_maturity']:
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diffrence = (today - val['date_maturity']).days
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val['diff0'] = val['debit'] if diffrence <= 0 else 0.0
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val['diff1'] = val['debit'] if 0 < diffrence <= 30 else 0.0
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val['diff2'] = val['debit'] if 30 < diffrence <= 60 else 0.0
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val['diff3'] = val['debit'] if 60 < diffrence <= 90 else 0.0
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val['diff4'] = val['debit'] if 90 < diffrence <= 120 else 0.0
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val['diff5'] = val['debit'] if diffrence > 120 else 0.0
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move_line_list[partner_id.name] = move_line_data
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partner_total[partner_id.name] = {
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'debit_sum': sum(val['debit'] for val in move_line_data),
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'diff0_sum': round(sum(val['diff0'] for val in move_line_data),
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2),
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'diff1_sum': round(sum(val['diff1'] for val in move_line_data),
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2),
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'diff2_sum': round(sum(val['diff2'] for val in move_line_data),
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2),
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'diff3_sum': round(sum(val['diff3'] for val in move_line_data),
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2),
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'diff4_sum': round(sum(val['diff4'] for val in move_line_data),
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2),
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'diff5_sum': round(sum(val['diff5'] for val in move_line_data),
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2),
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'currency_id': currency_id,
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'partner_id': partner_id.id
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}
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move_line_list['partner_totals'] = partner_total
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return move_line_list
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@api.model
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def get_xlsx_report(self, data, response, report_name):
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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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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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if end_date:
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sheet.merge_range('C3:G3', f"{end_date}", 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:
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if report_name == 'Aged Receivable':
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sheet.write(6, col, ' ', sub_heading)
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sheet.write(6, col + 1, 'Invoice Date', sub_heading)
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sheet.write(6, col + 2, 'Amount Currency', sub_heading)
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sheet.write(6, col + 3, 'Currency', sub_heading)
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sheet.merge_range(6, col + 4, 6, col + 5, 'Account',
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sub_heading)
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sheet.merge_range(6, col + 6, 6, col + 7, 'Expected Date',
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sub_heading)
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sheet.write(6, col + 8, 'At Date', sub_heading)
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sheet.write(6, col + 9, '1-30', sub_heading)
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sheet.write(6, col + 10, '31-60', sub_heading)
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sheet.write(6, col + 11, '61-90', sub_heading)
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sheet.write(6, col + 12, '91-120', sub_heading)
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sheet.write(6, col + 13, 'Older', sub_heading)
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sheet.write(6, col + 14, 'Total', sub_heading)
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row = 6
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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.write(row, col + 1, ' ', txt_name)
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sheet.write(row, col + 2, ' ', txt_name)
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sheet.write(row, col + 3, ' ', txt_name)
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sheet.merge_range(row, col + 4, row, col + 5, ' ',
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txt_name)
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sheet.merge_range(row, col + 6, row, col + 7, ' ',
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txt_name)
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sheet.write(row, col + 8,
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data['total'][move_line]['diff0_sum'],
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txt_name)
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sheet.write(row, col + 9,
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data['total'][move_line]['diff1_sum'],
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txt_name)
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sheet.write(row, col + 10,
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data['total'][move_line]['diff2_sum'],
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txt_name)
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sheet.write(row, col + 11,
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data['total'][move_line]['diff3_sum'],
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txt_name)
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sheet.write(row, col + 12,
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data['total'][move_line]['diff4_sum'],
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txt_name)
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sheet.write(row, col + 13,
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data['total'][move_line]['diff5_sum'],
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txt_name)
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sheet.write(row, col + 14,
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data['total'][move_line]['debit_sum'],
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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 not rec['name']:
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rec['name'] = ' '
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sheet.write(row, col, rec['move_name'] + rec['name'],
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txt_name)
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sheet.write(row, col + 1, rec['date'],
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txt_name)
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sheet.write(row, col + 2, rec['amount_currency'],
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txt_name)
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sheet.write(row, col + 3, rec['currency_id'][1],
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txt_name)
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sheet.merge_range(row, col + 4, row, col + 5,
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rec['account_id'][1],
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txt_name)
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sheet.merge_range(row, col + 6, row, col + 7,
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rec['date_maturity'],
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txt_name)
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sheet.write(row, col + 8, rec['diff0'], txt_name)
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sheet.write(row, col + 9, rec['diff1'], txt_name)
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sheet.write(row, col + 10, rec['diff2'], txt_name)
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sheet.write(row, col + 11, rec['diff3'], txt_name)
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sheet.write(row, col + 12, rec['diff4'], txt_name)
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sheet.write(row, col + 13, rec['diff5'], txt_name)
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sheet.write(row, col + 14, ' ', txt_name)
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sheet.merge_range(row + 1, col, row + 1, col + 7, 'Total',
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filter_head)
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sheet.write(row + 1, col + 8,
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data['grand_total']['diff0_sum'],
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filter_head)
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sheet.write(row + 1, col + 9,
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data['grand_total']['diff1_sum'],
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filter_head)
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sheet.write(row + 1, col + 10,
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data['grand_total']['diff2_sum'],
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filter_head)
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sheet.write(row + 1, col + 11,
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data['grand_total']['diff3_sum'],
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filter_head)
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sheet.write(row + 1, col + 12,
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data['grand_total']['diff4_sum'],
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filter_head)
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sheet.write(row + 1, col + 13,
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data['grand_total']['diff5_sum'],
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filter_head)
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sheet.write(row + 1, col + 14,
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data['grand_total']['total_debit'],
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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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