109 lines
5.8 KiB
Python
109 lines
5.8 KiB
Python
# -*- coding: utf-8 -*-
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##############################################################################
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#
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# OpenERP, Open Source Management Solution
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# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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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 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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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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##############################################################################
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from osv import osv, fields
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from tools.translate import _
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# Creates forecasts records for products from selected Product Category for selected 'Warehouse - Period'
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# Object added by contributor in ver 1.1
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class stock_sale_forecast_createlines(osv.osv_memory):
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_name = "stock.sale.forecast.createlines"
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_description = "stock.sale.forecast.createlines"
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_columns = {
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'company_id': fields.many2one('res.company', 'Company', required=True, select=1),
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'warehouse_id': fields.many2one('stock.warehouse' , 'Warehouse', required=True, \
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help='Warehouse which forecasts will concern. '\
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'If during stock planning you will need sales forecast for all warehouses choose any warehouse now.'),
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'period_id': fields.many2one('stock.period', 'Period', required=True, help='Period which forecasts will concern.'),
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'product_categ_id': fields.many2one('product.category' , 'Product Category', required=True, \
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help ='Product Category of products which created forecasts will concern.'),
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'copy_forecast': fields.boolean('Copy Last Forecast', help="Copy quantities from last Stock and Sale Forecast."),
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}
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_defaults = {
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'company_id': lambda self, cr, uid, c: self.pool.get('res.company')._company_default_get(cr, uid, 'stock.sale.forecast.createlines', context=c),
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}
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def create_forecast(self, cr, uid, ids, context=None):
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product_obj = self.pool.get('product.product')
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forecast_obj = self.pool.get('stock.sale.forecast')
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mod_obj = self.pool.get('ir.model.data')
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prod_categ_obj = self.pool.get('product.category')
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forecast_lines = []
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for f in self.browse(cr, uid, ids, context=context):
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categ_ids = f.product_categ_id.id and [f.product_categ_id.id] or []
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prod_categ_ids = prod_categ_obj.search(cr, uid, [('parent_id','child_of', categ_ids)])
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products_ids = product_obj.search(cr, uid, [('categ_id','in',prod_categ_ids)])
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if len(products_ids) == 0:
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raise osv.except_osv(_('Error!'), _('No products available in selected category !'))
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copy = f.copy_forecast
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for p in product_obj.browse(cr, uid, products_ids,{}):
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if len(forecast_obj.search(cr, uid, [('product_id','=',p.id) , \
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('period_id','=',f.period_id.id), \
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('user_id','=',uid), \
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('warehouse_id','=',f.warehouse_id.id)]))== 0:
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forecast_qty = 0.0
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prod_uom = False
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if copy:
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cr.execute("SELECT period.date_stop, forecast.product_qty, forecast.product_uom \
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FROM stock_sale_forecast AS forecast \
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LEFT JOIN stock_period AS period \
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ON forecast.period_id = period.id \
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WHERE (forecast.user_id = %s OR forecast.create_uid = %s OR forecast.write_uid = %s) \
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AND forecast.warehouse_id = %s AND forecast.product_id = %s \
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AND period.date_stop < %s \
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ORDER BY period.date_stop DESC",
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(uid, uid, uid, f.warehouse_id.id, p.id, f.period_id.date_stop) )
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ret = cr.fetchone()
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if ret:
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forecast_qty = ret[1]
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prod_uom = ret[2]
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prod_uom = prod_uom or p.uom_id.id
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prod_uos_categ = False
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if p.uos_id:
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prod_uos_categ = p.uos_id.category_id.id
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forecast_lines.append(forecast_obj.create(cr, uid, {
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'company_id': f.warehouse_id.company_id.id,
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'period_id': f.period_id.id,
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'warehouse_id': f.warehouse_id.id,
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'product_id': p.id,
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'product_qty': forecast_qty,
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'product_amt': 0.0,
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'product_uom': prod_uom,
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'active_uom': prod_uom,
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'product_uom_categ': p.uom_id.category_id.id,
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'product_uos_categ': prod_uos_categ,
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}))
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return {
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'domain': "[('id','in', ["+','.join(map(str, forecast_lines))+"])]",
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'view_type': 'form',
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"view_mode": 'tree,form',
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'res_model': 'stock.sale.forecast',
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'type': 'ir.actions.act_window',
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}
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stock_sale_forecast_createlines()
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# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
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