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507 lines
22 KiB
507 lines
22 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) 2022-TODAY Cybrosys Technologies(<https://www.cybrosys.com>).
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#
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# You can modify it under the terms of the GNU AFFERO
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# GENERAL PUBLIC LICENSE (AGPL 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 AFFERO GENERAL PUBLIC LICENSE (AGPL v3) for more details.
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#
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# You should have received a copy of the GNU AFFERO GENERAL PUBLIC LICENSE
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# (AGPL 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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from odoo import models, fields, api
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import io
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import json
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try:
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from odoo.tools.misc import xlsxwriter
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except ImportError:
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import xlsxwriter
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class DynamicPurchaseReport(models.Model):
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_name = "dynamic.purchase.report"
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purchase_report = fields.Char(string="Purchase Report")
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date_from = fields.Datetime(string="Date From")
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date_to = fields.Datetime(string="Date to")
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report_type = fields.Selection([
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('report_by_order', 'Report By Order'),
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('report_by_order_detail', 'Report By Order Detail'),
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('report_by_product', 'Report By Product'),
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('report_by_categories', 'Report By Categories'),
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('report_by_purchase_representative', 'Report By Purchase Representative'),
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('report_by_state', 'Report By State')], default='report_by_order')
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@api.model
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def purchase_report(self, option):
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orders = self.env['purchase.order'].search([])
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report_values = self.env['dynamic.purchase.report'].search(
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[('id', '=', option[0])])
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data = {
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'report_type': report_values.report_type,
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'model': self,
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}
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if report_values.date_from:
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data.update({
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'date_from': report_values.date_from,
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})
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if report_values.date_to:
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data.update({
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'date_to': report_values.date_to,
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})
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filters = self.get_filter(option)
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report = self._get_report_values(data)
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lines = self._get_report_values(data).get('PURCHASE')
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return {
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'name': "Purchase Orders",
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'type': 'ir.actions.client',
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'tag': 's_r',
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'orders': data,
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'filters': filters,
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'report_lines': lines,
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}
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def get_filter(self, option):
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data = self.get_filter_data(option)
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filters = {}
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if data.get('report_type') == 'report_by_order':
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filters['report_type'] = 'Report By Order'
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elif data.get('report_type') == 'report_by_order_detail':
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filters['report_type'] = 'Report By Order Detail'
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elif data.get('report_type') == 'report_by_product':
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filters['report_type'] = 'Report By Product'
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elif data.get('report_type') == 'report_by_categories':
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filters['report_type'] = 'Report By Categories'
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elif data.get('report_type') == 'report_by_purchase_representative':
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filters['report_type'] = 'Report By Purchase Representative'
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elif data.get('report_type') == 'report_by_state':
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filters['report_type'] = 'Report By State'
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else:
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filters['report_type'] = 'report_by_order'
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return filters
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def get_filter_data(self, option):
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r = self.env['dynamic.purchase.report'].search([('id', '=', option[0])])
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default_filters = {}
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filter_dict = {
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'report_type': r.report_type,
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}
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filter_dict.update(default_filters)
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return filter_dict
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@api.model
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def create(self, vals):
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res = super(DynamicPurchaseReport, self).create(vals)
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return res
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def write(self, vals):
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res = super(DynamicPurchaseReport, self).write(vals)
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return res
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def _get_report_sub_lines(self, data, report, date_from, date_to):
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report_sub_lines = []
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new_filter = None
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if data.get('report_type') == 'report_by_order':
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query = '''
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select l.name,l.date_order,l.partner_id,l.amount_total,l.notes,l.user_id,res_partner.name as partner,
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res_users.partner_id as user_partner,sum(purchase_order_line.product_qty),l.id as id,
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(SELECT res_partner.name as salesman FROM res_partner WHERE res_partner.id = res_users.partner_id)
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from purchase_order as l
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left join res_partner on l.partner_id = res_partner.id
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left join res_users on l.user_id = res_users.id
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left join purchase_order_line on l.id = purchase_order_line.order_id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where l.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "l.date_order <= '%s' " % data.get('date_to')
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query += "group by l.user_id,res_users.partner_id,res_partner.name,l.partner_id,l.date_order,l.name,l.amount_total,l.notes,l.id"
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self._cr.execute(query)
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report_by_order = self._cr.dictfetchall()
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report_sub_lines.append(report_by_order)
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elif data.get('report_type') == 'report_by_order_detail':
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query = '''
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select l.name,l.date_order,l.partner_id,l.amount_total,l.notes,l.user_id,res_partner.name as partner,
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res_users.partner_id as user_partner,sum(purchase_order_line.product_qty), purchase_order_line.name as product, purchase_order_line.price_unit,purchase_order_line.price_subtotal,l.amount_total,purchase_order_line.product_id,product_product.default_code,
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(SELECT res_partner.name as salesman FROM res_partner WHERE res_partner.id = res_users.partner_id)
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from purchase_order as l
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left join res_partner on l.partner_id = res_partner.id
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left join res_users on l.user_id = res_users.id
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left join purchase_order_line on l.id = purchase_order_line.order_id
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left join product_product on purchase_order_line.product_id = product_product.id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where l.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "l.date_order <= '%s' " % data.get('date_to')
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query += "group by l.user_id,res_users.partner_id,res_partner.name,l.partner_id,l.date_order,l.name,l.amount_total,l.notes,purchase_order_line.name,purchase_order_line.price_unit,purchase_order_line.price_subtotal,l.amount_total,purchase_order_line.product_id,product_product.default_code"
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self._cr.execute(query)
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report_by_order_details = self._cr.dictfetchall()
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report_sub_lines.append(report_by_order_details)
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elif data.get('report_type') == 'report_by_product':
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query = '''
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select l.amount_total,sum(purchase_order_line.product_qty) as qty, purchase_order_line.name as product, purchase_order_line.price_unit,product_product.default_code,product_category.name
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from purchase_order as l
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left join purchase_order_line on l.id = purchase_order_line.order_id
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left join product_product on purchase_order_line.product_id = product_product.id
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left join product_template on purchase_order_line.product_id = product_template.id
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left join product_category on product_category.id = product_template.categ_id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where l.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "l.date_order <= '%s' " % data.get('date_to')
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query += "group by l.amount_total,purchase_order_line.name,purchase_order_line.price_unit,purchase_order_line.product_id,product_product.default_code,product_template.categ_id,product_category.name"
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self._cr.execute(query)
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report_by_product = self._cr.dictfetchall()
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report_sub_lines.append(report_by_product)
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elif data.get('report_type') == 'report_by_categories':
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query = '''
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select product_category.name,sum(l.product_qty) as qty,sum(l.price_subtotal) as amount_total
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from purchase_order_line as l
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left join product_template on l.product_id = product_template.id
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left join product_category on product_category.id = product_template.categ_id
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left join purchase_order on l.order_id = purchase_order.id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where pos_order.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "pos_order.date_order <= '%s' " % data.get('date_to')
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query += "group by product_category.name"
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self._cr.execute(query)
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report_by_categories = self._cr.dictfetchall()
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report_sub_lines.append(report_by_categories)
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elif data.get('report_type') == 'report_by_purchase_representative':
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query = '''
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select res_partner.name,sum(purchase_order_line.product_qty) as qty,sum(purchase_order_line.price_subtotal) as amount,count(l.id) as order
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from purchase_order as l
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left join res_users on l.user_id = res_users.id
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left join res_partner on res_users.partner_id = res_partner.id
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left join purchase_order_line on l.id = purchase_order_line.order_id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where l.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "l.date_order <= '%s' " % data.get('date_to')
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query += "group by res_partner.name"
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self._cr.execute(query)
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report_by_purchase_representative = self._cr.dictfetchall()
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report_sub_lines.append(report_by_purchase_representative)
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elif data.get('report_type') == 'report_by_state':
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query = '''
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select l.state,sum(purchase_order_line.product_qty) as qty,sum(purchase_order_line.price_subtotal) as amount,count(l.id) as order
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from purchase_order as l
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left join res_users on l.user_id = res_users.id
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left join res_partner on res_users.partner_id = res_partner.id
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left join purchase_order_line on l.id = purchase_order_line.order_id
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'''
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term = 'Where '
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if data.get('date_from'):
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query += "Where so.date_order >= '%s' " % data.get('date_from')
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term = 'AND '
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if data.get('date_to'):
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query += term + "so.date_order <= '%s' " % data.get('date_to')
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query += "group by l.state"
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self._cr.execute(query)
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report_by_state = self._cr.dictfetchall()
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report_sub_lines.append(report_by_state)
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return report_sub_lines
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def _get_report_values(self, data):
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docs = data['model']
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date_from = data.get('date_from')
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date_to = data.get('date_to')
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if data['report_type'] == 'report_by_order_detail':
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report = ['Report By Order Detail']
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elif data['report_type'] == 'report_by_product':
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report = ['Report By Product']
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elif data['report_type'] == 'report_by_categories':
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report = ['Report By Categories']
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elif data['report_type'] == 'report_by_purchase_representative':
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report = ['Report By Purchase Representative']
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elif data['report_type'] == 'report_by_state':
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report = ['Report By State']
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else:
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report = ['Report By Order']
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if data.get('report_type'):
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report_res = \
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self._get_report_sub_lines(data, report, date_from, date_to)[0]
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else:
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report_res = self._get_report_sub_lines(data, report, date_from,
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date_to)
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return {
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'doc_ids': self.ids,
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'docs': docs,
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'PURCHASE': report_res,
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}
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def get_purchase_xlsx_report(self, data, response, report_data, dfr_data):
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report_data_main = json.loads(report_data)
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output = io.BytesIO()
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filters = json.loads(data)
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workbook = xlsxwriter.Workbook(output, {'in_memory': True})
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sheet = workbook.add_worksheet()
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head = workbook.add_format({'align': 'center', 'bold': True,
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'font_size': '20px'})
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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,
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'border_color': 'black'})
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heading = workbook.add_format(
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{'align': 'center', 'bold': True, 'font_size': '10px',
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'border': 2,
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'border_color': 'black'})
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txt = workbook.add_format({'font_size': '10px', 'border': 1})
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txt_l = workbook.add_format(
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{'font_size': '10px', 'border': 1, 'bold': True})
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txt_v = workbook.add_format(
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{'align': 'right', 'font_size': '10px', 'border': 1})
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sheet.merge_range('A2:H3',
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'Purchase Report',
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head)
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date_head = workbook.add_format({'align': 'center', 'bold': True,
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'font_size': '10px'})
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date_style = workbook.add_format({'align': 'center',
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'font_size': '10px'})
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if filters.get('report_type') == 'report_by_order':
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sheet.merge_range('B5:D5', 'Report Type: ' +
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filters.get('report_type'), txt_l)
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sheet.write('A7', 'Order', heading)
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sheet.write('B7', 'Date Order', heading)
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sheet.write('C7', 'Customer', heading)
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sheet.write('D7', 'Purchase Representative', heading)
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sheet.write('E7', 'Total Qty', heading)
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sheet.write('F7', 'Amount Total', heading)
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lst = []
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for rec in report_data_main[0]:
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lst.append(rec)
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row = 6
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col = 0
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sheet.set_column(3, 0, 15)
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sheet.set_column(4, 1, 15)
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sheet.set_column(5, 2, 15)
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sheet.set_column(6, 3, 15)
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sheet.set_column(7, 4, 15)
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sheet.set_column(8, 5, 15)
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for rec_data in report_data_main:
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one_lst = []
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two_lst = []
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row += 1
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sheet.write(row, col, rec_data['name'], txt_l)
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sheet.write(row, col + 1, rec_data['date_order'], txt_l)
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sheet.write(row, col + 2, rec_data['partner'], txt_l)
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sheet.write(row, col + 3, rec_data['salesman'], txt_l)
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sheet.write(row, col + 4, rec_data['sum'], txt_l)
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sheet.write(row, col + 5, rec_data['amount_total'], txt_l)
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if filters.get('report_type') == 'report_by_order_detail':
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sheet.merge_range('B5:D5', 'Report Type: ' +
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filters.get('report_type'), txt_l)
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sheet.write('A7', 'Order', heading)
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sheet.write('B7', 'Date Order', heading)
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sheet.write('C7', 'Customer', heading)
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sheet.write('D7', 'Purchase Representative', heading)
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sheet.write('E7', 'Product Code', heading)
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sheet.write('F7', 'Product Name', heading)
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sheet.write('G7', 'Price unit', heading)
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sheet.write('H7', 'Qty', heading)
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sheet.write('I7', 'Price Total', heading)
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lst = []
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for rec in report_data_main[0]:
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lst.append(rec)
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row = 6
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col = 0
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sheet.set_column(3, 0, 15)
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sheet.set_column(4, 1, 15)
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sheet.set_column(5, 2, 15)
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sheet.set_column(6, 3, 15)
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sheet.set_column(7, 4, 15)
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sheet.set_column(8, 5, 15)
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sheet.set_column(9, 6, 15)
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sheet.set_column(10, 7, 15)
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sheet.set_column(11, 8, 15)
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sheet.set_column(12, 9, 15)
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for rec_data in report_data_main:
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one_lst = []
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two_lst = []
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row += 1
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sheet.write(row, col, rec_data['name'], txt_l)
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sheet.write(row, col + 1, rec_data['date_order'], txt_l)
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sheet.write(row, col + 2, rec_data['partner'], txt_l)
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sheet.write(row, col + 3, rec_data['salesman'], txt_l)
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sheet.write(row, col + 4, rec_data['default_code'], txt_l)
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sheet.write(row, col + 5, rec_data['product'], txt_l)
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sheet.write(row, col + 6, rec_data['price_unit'], txt_l)
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sheet.write(row, col + 7, rec_data['sum'], txt_l)
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sheet.write(row, col + 8, rec_data['amount_total'], txt_l)
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if filters.get('report_type') == 'report_by_product':
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sheet.merge_range('B5:D5', 'Report Type: ' +
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filters.get('report_type'), txt_l)
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sheet.write('A7', 'Category', heading)
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sheet.write('B7', 'Product Code', heading)
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sheet.write('C7', 'Product Name', heading)
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sheet.write('D7', 'Qty', heading)
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sheet.write('E7', 'Amount Total', heading)
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lst = []
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for rec in report_data_main[0]:
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lst.append(rec)
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row = 6
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col = 0
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sheet.set_column(3, 0, 15)
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sheet.set_column(4, 1, 15)
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sheet.set_column(5, 2, 15)
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sheet.set_column(6, 3, 15)
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sheet.set_column(7, 4, 15)
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for rec_data in report_data_main:
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one_lst = []
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two_lst = []
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row += 1
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sheet.write(row, col, rec_data['name'], txt_l)
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sheet.write(row, col + 1, rec_data['default_code'], txt_l)
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sheet.write(row, col + 2, rec_data['product'], txt_l)
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sheet.write(row, col + 3, rec_data['qty'], txt_l)
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sheet.write(row, col + 4, rec_data['amount_total'], txt_l)
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if filters.get('report_type') == 'report_by_categories':
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sheet.merge_range('B5:D5', 'Report Type: ' +
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filters.get('report_type'), txt_l)
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sheet.write('B7', 'Category', heading)
|
|
sheet.write('C7', 'Qty', heading)
|
|
sheet.write('D7', 'Amount Total', heading)
|
|
|
|
lst = []
|
|
for rec in report_data_main[0]:
|
|
lst.append(rec)
|
|
row = 6
|
|
col = 1
|
|
sheet.set_column(3, 1, 15)
|
|
sheet.set_column(4, 2, 15)
|
|
sheet.set_column(5, 3, 15)
|
|
|
|
for rec_data in report_data_main:
|
|
one_lst = []
|
|
two_lst = []
|
|
row += 1
|
|
sheet.write(row, col, rec_data['name'], txt_l)
|
|
sheet.write(row, col + 1, rec_data['qty'], txt_l)
|
|
sheet.write(row, col + 2, rec_data['amount_total'], txt_l)
|
|
|
|
if filters.get('report_type') == 'report_by_purchase_representative':
|
|
|
|
sheet.merge_range('B5:D5', 'Report Type: ' +
|
|
filters.get('report_type'), txt_l)
|
|
|
|
sheet.write('A7', 'Purchase Representative', heading)
|
|
sheet.write('B7', 'Total Order', heading)
|
|
sheet.write('C7', 'Total Qty', heading)
|
|
sheet.write('D7', 'Total Amount', heading)
|
|
|
|
lst = []
|
|
for rec in report_data_main[0]:
|
|
lst.append(rec)
|
|
row = 6
|
|
col = 0
|
|
sheet.set_column(3, 0, 15)
|
|
sheet.set_column(4, 1, 15)
|
|
sheet.set_column(5, 2, 15)
|
|
sheet.set_column(6, 3, 15)
|
|
|
|
for rec_data in report_data_main:
|
|
one_lst = []
|
|
two_lst = []
|
|
row += 1
|
|
sheet.write(row, col, rec_data['name'], txt_l)
|
|
sheet.write(row, col + 1, rec_data['order'], txt_l)
|
|
sheet.write(row, col + 2, rec_data['qty'], txt_l)
|
|
sheet.write(row, col + 3, rec_data['amount'], txt_l)
|
|
|
|
if filters.get('report_type') == 'report_by_state':
|
|
|
|
sheet.merge_range('B5:D5', 'Report Type: ' +
|
|
filters.get('report_type'), txt_l)
|
|
|
|
sheet.write('A7', 'State', heading)
|
|
sheet.write('B7', 'Total Count', heading)
|
|
sheet.write('C7', 'Quantity', heading)
|
|
sheet.write('D7', 'Amount', heading)
|
|
|
|
lst = []
|
|
for rec in report_data_main[0]:
|
|
lst.append(rec)
|
|
row = 6
|
|
col = 0
|
|
sheet.set_column(3, 0, 15)
|
|
sheet.set_column(4, 1, 15)
|
|
sheet.set_column(5, 2, 15)
|
|
sheet.set_column(6, 3, 15)
|
|
|
|
for rec_data in report_data_main:
|
|
one_lst = []
|
|
two_lst = []
|
|
row += 1
|
|
if rec_data['state'] == 'draft':
|
|
sheet.write(row, col, 'Quotation', txt_l)
|
|
elif rec_data['state'] == 'sent':
|
|
sheet.write(row, col, 'Quotation Sent', txt_l)
|
|
elif rec_data['state'] == 'purchase':
|
|
sheet.write(row, col, 'Purchase Order', txt_l)
|
|
sheet.write(row, col + 1, rec_data['order'], txt_l)
|
|
sheet.write(row, col + 2, rec_data['qty'], txt_l)
|
|
sheet.write(row, col + 3, rec_data['amount'], txt_l)
|
|
|
|
workbook.close()
|
|
output.seek(0)
|
|
response.stream.write(output.read())
|
|
output.close()
|
|
|