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238 lines
12 KiB
238 lines
12 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) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
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# Author: Cybrosys Techno Solutions(<https://www.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 fields, models
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from odoo.exceptions import ValidationError
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from odoo.tools import date_utils
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class StockValuationReport(models.TransientModel):
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""" Wizard for printing stock valuation report.We will get both excl
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and pdf reports"""
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_name = "stock.valuation.report"
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_description = "Stock Valuation Report"
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product_id = fields.Many2one('product.product', string='Product',
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help='To pick the product')
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product_category_id = fields.Many2one('product.category',
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string='Product Category', required=True,
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help='To pick product_category')
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from_Date = fields.Datetime(string='From Date', required=True,
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default=fields.Datetime.now(),
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help='For filtering data using from date')
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to_date = fields.Datetime(string='To Date', required=True,
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default=fields.Datetime.now(),
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help='For filtering data using to date')
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company_id = fields.Many2one('res.company',
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default=lambda self: self.env.company)
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def action_print_pdf_report(self):
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""" Function to print pdf report.Passing data to pdf template"""
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lang = f"'{self.env.context['lang']}'"
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query = """ WITH RECURSIVE CategoryHierarchy AS ( SELECT id,name,
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parent_id FROM product_category WHERE id = {} UNION ALL
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SELECT c.id, c.name, c.parent_id FROM product_category c
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JOIN CategoryHierarchy ch ON c.parent_id = ch.id)
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SELECT CategoryHierarchy.id as category_id,
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CategoryHierarchy.name as category_name,
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stock_valuation_layer.create_date, product_template.name->>{}
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as name, stock_valuation_layer.description,
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product_category.complete_name,res_company.name as
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company_name, quantity, stock_valuation_layer.unit_cost,
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value FROM CategoryHierarchy JOIN product_category on
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CategoryHierarchy.id = product_category.id JOIN
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product_template on product_category.id =
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product_template.categ_id JOIN product_product on
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product_template.id = product_product.product_tmpl_id JOIN
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stock_valuation_layer on product_product.id =
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stock_valuation_layer.product_id JOIN res_company on
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stock_valuation_layer.company_id = res_company.id
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""".format(self.product_category_id.id, lang)
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product_id = self.product_id.id
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company_id = self.company_id.id
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from_date = self.from_Date
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to_date = self.to_date
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if self.product_id and self.company_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}' and stock_valuation_layer.company_id
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='{}'""".format(
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query, product_id, company_id,
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))
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elif self.product_id and self.company_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}' and
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stock_valuation_layer.company_id ='{}'""".format(
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query, product_id, company_id))
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elif self.product_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}'""".format(
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query, product_id))
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elif self.company_id:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.company_id='{}' """.format(
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query, company_id))
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elif self.from_Date:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.create_date >= '{}' """.format(query,from_date))
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elif self.to_date:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.create_date <= '{}' """.format(query, to_date))
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if from_date and to_date:
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if to_date < from_date:
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raise ValidationError('Sorry, To Date Must be greater Than From Date...')
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else:
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self.env.cr.execute("""{}""".format(query))
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stock_valuation = self.env.cr.dictfetchall()
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data = {
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'product_name': self.product_id.product_tmpl_id.name,
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'vehicle_id': self.product_category_id.display_name,
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'company_name': self.company_id.name,
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'company_street': self.company_id.street,
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'state': self.company_id.state_id.name,
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'country': self.company_id.country_id.name,
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'company_email': self.company_id.email,
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'stock_valuation': stock_valuation
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}
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return self.env.ref(
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'warehouse_reports.stock_valuation_report').report_action(
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None, data=data)
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def action_print_xls_report(self):
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""" Function to pass data to the Excel file"""
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lang = f"'{self.env.context['lang']}'"
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query = """ WITH RECURSIVE CategoryHierarchy AS ( SELECT id,name,
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parent_id FROM product_category WHERE id = {} UNION ALL
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SELECT c.id, c.name, c.parent_id FROM product_category c
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JOIN CategoryHierarchy ch ON c.parent_id = ch.id)
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SELECT CategoryHierarchy.id as category_id,
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CategoryHierarchy.name as category_name,
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stock_valuation_layer.create_date, product_template.name->>{}
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as name, stock_valuation_layer.description,
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product_category.complete_name,res_company.name as
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company_name, quantity, stock_valuation_layer.unit_cost,
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value FROM CategoryHierarchy JOIN product_category on
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CategoryHierarchy.id = product_category.id JOIN
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product_template on product_category.id =
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product_template.categ_id JOIN product_product on
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product_template.id = product_product.product_tmpl_id JOIN
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stock_valuation_layer on product_product.id =
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stock_valuation_layer.product_id JOIN res_company on
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stock_valuation_layer.company_id = res_company.id
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""".format(self.product_category_id.id, lang)
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product_id = self.product_id.id
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company_id = self.company_id.id
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from_date = self.from_Date
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to_date = self.to_date
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if self.product_id and self.company_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}' and stock_valuation_layer.company_id
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='{}'""".format(
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query, product_id, company_id,
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))
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elif self.product_id and self.company_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}' and
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stock_valuation_layer.company_id ='{}'""".format(
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query, product_id, company_id))
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elif self.product_id:
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self.env.cr.execute(
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"""{}where product_product.id='{}'""".format(
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query, product_id))
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elif self.company_id:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.company_id='{}' """.format(
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query, company_id))
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elif self.from_Date:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.create_date >= '{}' """.format(query, from_date))
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elif self.to_date:
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self.env.cr.execute(
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"""{} where stock_valuation_layer.create_date <= '{}' """.format(query, to_date))
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if from_date and to_date:
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if to_date < from_date:
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raise ValidationError('Sorry, To Date Must be greater Than From Date...')
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else:
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self.env.cr.execute("""{}""".format(query))
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stock_valuation = self.env.cr.dictfetchall()
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data = {
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'product_name': self.product_id.product_tmpl_id.name,
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'vehicle_id': self.product_category_id.display_name,
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'company_name': self.company_id.name,
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'company_street': self.company_id.street,
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'state': self.company_id.state_id.name,
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'country': self.company_id.country_id.name,
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'company_email': self.company_id.email,
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'stock_valuation': stock_valuation
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}
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return {
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'type': 'ir.actions.report',
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'report_type': 'xlsx',
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'data': {'model': 'stock.valuation.report',
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'output_format': 'xlsx',
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'options': json.dumps(data,
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default=date_utils.json_default),
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'report_name': 'Stock valuation report'}}
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def get_xlsx_report(self, data, response):
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""" Function to print excel report.Customizing excel file and added data
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:param data :Dictionary contains results
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:param response : Response from the controller"""
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output = io.BytesIO()
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workbook = xlsxwriter.Workbook(output, {'in_memory': True})
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sheet = workbook.add_worksheet()
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sheet.set_column(0, 10, 24)
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head = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '20px'})
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txt = workbook.add_format({'align': 'center'})
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sheet.merge_range('C2:E3', 'STOCK VALUATION REPORT', head)
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sheet.merge_range('C4:E4', data['company_name'], txt)
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sheet.write('A8', 'SL No.', txt)
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sheet.write('B8', 'Date', txt)
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sheet.write('C8', 'Product Name', txt)
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sheet.write('D8', 'Description', txt)
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sheet.write('E8', 'Product Category', txt)
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sheet.write('F8', 'Company Name', txt)
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sheet.write('G8', 'Quantity', txt)
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sheet.write('H8', 'Unit Cost', txt)
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sheet.write('I8', 'Value', txt)
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records = data['stock_valuation']
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row = 9
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flag = 1
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for record in records:
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sheet.write(row, 0, flag, txt)
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sheet.write(row, 1, record['create_date'], txt)
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sheet.write(row, 2, record['name'], txt)
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sheet.write(row, 3, record['description'], txt)
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sheet.write(row, 4, record['complete_name'], txt)
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sheet.write(row, 5, record['company_name'], txt)
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sheet.write(row, 6, record['quantity'], txt)
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sheet.write(row, 7, record['unit_cost'], txt)
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sheet.write(row, 8, record['value'], txt)
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flag += 1
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row += 1
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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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