-# -*- encoding: utf-8 -*-
+# -*- coding: utf-8 -*-
##############################################################################
#
-# OpenERP, Open Source Management Solution
-# Copyright (C) 2004-2008 Tiny SPRL (<http://tiny.be>). All Rights Reserved
-# $Id$
+# OpenERP, Open Source Management Solution
+# Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
#
# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
+# it under the terms of the GNU Affero General Public License as
+# published by the Free Software Foundation, either version 3 of the
+# License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-# GNU General Public License for more details.
+# GNU Affero General Public License for more details.
#
-# You should have received a copy of the GNU General Public License
+# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
-from osv import fields,osv
-import pooler
-from tools import config
import time
+from datetime import datetime
+from dateutil.relativedelta import relativedelta
+
+from osv import osv, fields
import netsvc
-import math
-import mx.DateTime
-from mx.DateTime import RelativeDateTime, now, DateTime, localtime
from tools.translate import _
def rounding(fl, round_value):
return fl
return round(fl / round_value) * round_value
-
-# Object creating periods quickly
-# changed that stop_date is created with hour 23:59:00 when it was 00:00:00 stop date was excluded from period
-class stock_period_createlines(osv.osv_memory):
- _name = "stock.period.createlines"
-
- def _get_new_period_start(self,cr,uid,context={}):
- cr.execute("select max(date_stop) from stock_period")
- result=cr.fetchone()
- last_date = result and result[0] or False
- if last_date:
- period_start = mx.DateTime.strptime(last_date,"%Y-%m-%d %H:%M:%S")+ RelativeDateTime(days=1)
- period_start = period_start - RelativeDateTime(hours=period_start.hour, minutes=period_start.minute, seconds=period_start.second)
- else:
- period_start = mx.DateTime.today()
- return period_start.strftime('%Y-%m-%d')
-
-
- _columns = {
- 'name': fields.char('Period Name', size=64),
- 'date_start': fields.date('Start Date', required=True),
- 'date_stop': fields.date('End Date', required=True),
- 'period_ids': fields.one2many('stock.period', 'planning_id', 'Periods'),
- }
- _defaults={
- 'date_start':_get_new_period_start,
- }
-
- def create_period_weekly(self,cr, uid, ids, context={}):
- res=self.create_period(cr, uid, ids, context, 6, 'Weekly')
- return {
- 'view_type': 'form',
- "view_mode": 'tree',
- 'res_model': 'stock.period',
- 'type': 'ir.actions.act_window',
- }
-
- def create_period_monthly(self,cr, uid, ids, context={},interval=1):
- for p in self.browse(cr, uid, ids, context):
- dt = p.date_start
- ds = mx.DateTime.strptime(p.date_start, '%Y-%m-%d')
- while ds.strftime('%Y-%m-%d')<p.date_stop:
- de = ds + RelativeDateTime(months=interval, minutes=-1)
- self.pool.get('stock.period').create(cr, uid, {
- 'name': ds.strftime('%Y/%m'),
- 'date_start': ds.strftime('%Y-%m-%d'),
- 'date_stop': de.strftime('%Y-%m-%d %H:%M:%S'),
- })
- ds = ds + RelativeDateTime(months=interval)
- return {
- 'view_type': 'form',
- "view_mode": 'tree',
- 'res_model': 'stock.period',
- 'type': 'ir.actions.act_window',
- }
-
- def create_period(self,cr, uid, ids, context={}, interval=0, name='Daily'):
- for p in self.browse(cr, uid, ids, context):
- dt = p.date_start
- ds = mx.DateTime.strptime(p.date_start, '%Y-%m-%d')
- while ds.strftime('%Y-%m-%d')<p.date_stop:
- de = ds + RelativeDateTime(days=interval, minutes =-1)
- if name=='Daily':
- new_name=de.strftime('%Y-%m-%d')
- if name=="Weekly":
- new_name=de.strftime('%Y, week %W')
- self.pool.get('stock.period').create(cr, uid, {
- 'name': new_name,
- 'date_start': ds.strftime('%Y-%m-%d'),
- 'date_stop': de.strftime('%Y-%m-%d %H:%M:%S'),
- })
- ds = ds + RelativeDateTime(days=interval) + 1
- return {
- 'view_type': 'form',
- "view_mode": 'tree',
- 'res_model': 'stock.period',
- 'type': 'ir.actions.act_window',
- }
-stock_period_createlines()
-
# Periods have no company_id field as they can be shared across similar companies.
# If somone thinks different it can be improved.
class stock_period(osv.osv):
_name = "stock.period"
+ _description = "stock period"
_columns = {
- 'name': fields.char('Period Name', size=64),
+ 'name': fields.char('Period Name', size=64, required=True),
'date_start': fields.datetime('Start Date', required=True),
- 'date_stop': fields.datetime('End Date', required=True),
- 'state' : fields.selection([('draft','Draft'),('open','Open'),('close','Close')],'State')
+ 'date_stop': fields.datetime('End Date', required=True),
+ 'state': fields.selection([('draft','Draft'), ('open','Open'),('close','Close')], 'State')
}
_defaults = {
- 'state' : lambda * a : 'draft'
- }
-stock_period()
-
-# Creates forecasts records for products from selected Product Category for selected 'Warehouse - Period'
-# Object added by contributor in ver 1.1
-class stock_sale_forecast_createlines(osv.osv_memory):
- _name = "stock.sale.forecast.createlines"
-
-# FIXME Add some period sugestion like below
-
-# def _get_latest_period(self,cr,uid,context={}):
-# cr.execute("select max(date_stop) from stock_period")
-# result=cr.fetchone()
-# return result and result[0] or False
-
-
- _columns = {
- 'company_id': fields.many2one('res.company', 'Company', required=True, select=1),
- 'warehouse_id1': fields.many2one('stock.warehouse' , 'Warehouse', required=True, \
- help='Warehouse which forecasts will concern. '\
- 'If during stock planning you will need sales forecast for all warehouses choose any warehouse now.'),
- 'period_id1': fields.many2one('stock.period' , 'Period', required=True, help = 'Period which forecasts will concern.' ),
- 'product_categ_id1': fields.many2one('product.category' , 'Product Category', required=True, \
- help ='Product Category of products which created forecasts will concern.'),
- 'copy_forecast' : fields.boolean('Copy Last Forecast', help="Copy quantities from last Stock and Sale Forecast."),
- }
-
- _defaults = {
- 'company_id': lambda self,cr,uid,c: self.pool.get('res.company')._company_default_get(cr, uid, 'stock.sale.forecast.createlines', context=c),
+ 'state': 'draft'
}
+
+ def button_open(self, cr, uid, ids, context=None):
+ self.write(cr, uid, ids, {'state': 'open'})
+ return True
+
+ def button_close(self, cr, uid, ids, context=None):
+ self.write(cr, uid, ids, {'state': 'close'})
+ return True
- def create_forecast(self,cr, uid, ids, context={}):
- product_obj = self.pool.get('product.product')
- forecast_obj=self.pool.get('stock.sale.forecast')
- for f in self.browse(cr, uid, ids, context):
- prod_categ_obj=self.pool.get('product.category')
- template_obj=self.pool.get('product.template')
- categ_ids = f.product_categ_id1.id and [f.product_categ_id1.id] or []
- prod_categ_ids=prod_categ_obj.search(cr,uid,[('parent_id','child_of',categ_ids)])
- templates_ids = template_obj.search(cr,uid,[('categ_id','in',prod_categ_ids)])
- products_ids = product_obj.search(cr,uid,[('product_tmpl_id','in',templates_ids)])
- if len(products_ids)==0:
- raise osv.except_osv(_('Error !'), _('No products in selected category !'))
- copy = f.copy_forecast
- for p in product_obj.browse(cr, uid, products_ids,{}):
- if len(forecast_obj.search(cr, uid, [('product_id','=',p.id) , \
- ('period_id','=',f.period_id1.id), \
- ('user_id','=',uid), \
- ('warehouse_id','=',f.warehouse_id1.id)]))== 0:
- forecast_qty = 0.0
-# Not sure if it is expected quantity for this feature (copying forecast from previous period)
-# because it can take incidental forecast of this warehouse, this product and this user (creating, writing or validating forecast).
-# It takes only one forecast line (no sum). If user creates only one forecast per period it will be OK. If not I have no idea how to count it.
-
- prod_uom = False
- if copy:
- cr.execute("SELECT period.date_stop, forecast.product_qty, forecast.product_uom \
- FROM stock_sale_forecast AS forecast \
- LEFT JOIN stock_period AS period \
- ON forecast.period_id = period.id \
- WHERE (forecast.user_id = %s OR forecast.create_uid = %s OR forecast.write_uid = %s) \
- AND forecast.warehouse_id = %s AND forecast.product_id = %s \
- AND period.date_stop < %s \
- ORDER BY period.date_stop DESC",
- (uid, uid, uid, f.warehouse_id1.id, p.id, f.period_id1.date_stop) )
- ret=cr.fetchone()
- if ret:
- forecast_qty = ret[1]
- prod_uom = ret[2]
- prod_uom = prod_uom or p.uom_id.id
- prod_uos_categ = False
- if p.uos_id:
- prod_uos_categ = p.uos_id.category_id.id
- forecast_obj.create(cr, uid, {
- 'company_id' : f.warehouse_id1.company_id.id,
- 'period_id': f.period_id1.id,
- 'warehouse_id': f.warehouse_id1.id,
- 'product_id': p.id,
- 'product_qty' : forecast_qty,
- 'product_amt' : 0.0,
- 'product_uom' : prod_uom,
- 'active_uom' : prod_uom,
- 'product_uom_categ' : p.uom_id.category_id.id,
- 'product_uos_categ' : prod_uos_categ,
- })
- return {
- 'view_type': 'form',
- "view_mode": 'tree',
- 'res_model': 'stock.sale.forecast',
- 'type': 'ir.actions.act_window',
- }
-stock_sale_forecast_createlines()
-
+stock_period()
# Stock and Sales Forecast object. Previously stock_planning_sale_prevision.
# A lot of changes in 1.1
class stock_sale_forecast(osv.osv):
_name = "stock.sale.forecast"
-
+
_columns = {
- 'company_id': fields.many2one('res.company', 'Company', required=True),
- 'create_uid': fields.many2one('res.users', 'Responsible'),
- 'name' : fields.char('Name', size=64, readonly=True, states={'draft':[('readonly',False)]}),
- 'user_id': fields.many2one('res.users' , 'Created/Validated by',readonly=True, \
+ 'company_id':fields.many2one('res.company', 'Company', required=True),
+ 'create_uid': fields.many2one('res.users', 'Responsible'),
+ 'name': fields.char('Name', size=64, readonly=True, states={'draft': [('readonly',False)]}),
+ 'user_id': fields.many2one('res.users', 'Created/Validated by',readonly=True, \
help='Shows who created this forecast, or who validated.'),
- 'warehouse_id': fields.many2one('stock.warehouse' , 'Warehouse', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
+ 'warehouse_id': fields.many2one('stock.warehouse', 'Warehouse', required=True, readonly=True, states={'draft': [('readonly',False)]}, \
help='Shows which warehouse this forecast concerns. '\
'If during stock planning you will need sales forecast for all warehouses choose any warehouse now.'),
- 'period_id': fields.many2one('stock.period' , 'Period', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
+ 'period_id': fields.many2one('stock.period', 'Period', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
help = 'Shows which period this forecast concerns.'),
- 'product_id': fields.many2one('product.product' , 'Product', readonly=True, required=True, states={'draft':[('readonly',False)]}, \
+ 'product_id': fields.many2one('product.product', 'Product', readonly=True, required=True, states={'draft':[('readonly',False)]}, \
help = 'Shows which product this forecast concerns.'),
- 'product_qty' : fields.float('Product Quantity', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
+ 'product_qty': fields.float('Product Quantity', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
help= 'Forecasted quantity.'),
- 'product_amt' : fields.float('Product Amount', readonly=True, states={'draft':[('readonly',False)]}, \
+ 'product_amt': fields.float('Product Amount', readonly=True, states={'draft':[('readonly',False)]}, \
help='Forecast value which will be converted to Product Quantity according to prices.'),
- 'product_uom_categ' : fields.many2one('product.uom.categ', 'Product UoM Category'), # Invisible field for product_uom domain
- 'product_uom' : fields.many2one('product.uom', 'Product UoM', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
+ 'product_uom_categ': fields.many2one('product.uom.categ', 'Product UoM Category'), # Invisible field for product_uom domain
+ 'product_uom': fields.many2one('product.uom', 'Product UoM', required=True, readonly=True, states={'draft':[('readonly',False)]}, \
help = "Unit of Measure used to show the quanities of stock calculation." \
"You can use units form default category or from second category (UoS category)."),
'product_uos_categ' : fields.many2one('product.uom.categ', 'Product UoS Category'), # Invisible field for product_uos domain
# Field used in onchange_uom to check what uom was before change and recalculate quantities acording to old uom (active_uom) and new uom.
- 'active_uom' :fields.many2one('product.uom', string = "Active UoM"),
- 'state' : fields.selection([('draft','Draft'),('validated','Validated')],'State',readonly=True),
- 'analyzed_period1_id' : fields.many2one('stock.period' , 'Period1', readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_period2_id' : fields.many2one('stock.period' , 'Period2', readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_period3_id' : fields.many2one('stock.period' , 'Period3', readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_period4_id' : fields.many2one('stock.period' , 'Period4', readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_period5_id' : fields.many2one('stock.period' , 'Period5', readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_user_id' : fields.many2one('res.users' , 'This User', required=False, readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_dept_id' : fields.many2one('hr.department' , 'This Department', required=False, \
+ 'active_uom': fields.many2one('product.uom', string = "Active UoM"),
+ 'state': fields.selection([('draft','Draft'),('validated','Validated')],'State',readonly=True),
+ 'analyzed_period1_id': fields.many2one('stock.period', 'Period1', readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_period2_id': fields.many2one('stock.period', 'Period2', readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_period3_id': fields.many2one('stock.period', 'Period3', readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_period4_id': fields.many2one('stock.period', 'Period4', readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_period5_id': fields.many2one('stock.period' , 'Period5', readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_user_id': fields.many2one('res.users', 'This User', required=False, readonly=True, states={'draft':[('readonly',False)]},),
+ 'analyzed_dept_id': fields.many2one('hr.department', 'This Department', required=False, \
readonly=True, states={'draft':[('readonly',False)]},),
- 'analyzed_warehouse_id' : fields.many2one('stock.warehouse' , 'This Warehouse', required=False, \
+ 'analyzed_warehouse_id': fields.many2one('stock.warehouse' , 'This Warehouse', required=False, \
readonly=True, states={'draft':[('readonly',False)]}),
- 'analyze_company' : fields.boolean('Per Company', readonly=True, states={'draft':[('readonly',False)]}, \
+ 'analyze_company': fields.boolean('Per Company', readonly=True, states={'draft':[('readonly',False)]}, \
help = "Check this box to see the sales for whole company."),
- 'analyzed_period1_per_user' : fields.float('This User Period1', readonly=True),
- 'analyzed_period2_per_user' : fields.float('This User Period2', readonly=True),
- 'analyzed_period3_per_user' : fields.float('This User Period3', readonly=True),
- 'analyzed_period4_per_user' : fields.float('This User Period4', readonly=True),
- 'analyzed_period5_per_user' : fields.float('This User Period5', readonly=True),
- 'analyzed_period1_per_dept' : fields.float('This Dept Period1', readonly=True),
- 'analyzed_period2_per_dept' : fields.float('This Dept Period2', readonly=True),
- 'analyzed_period3_per_dept' : fields.float('This Dept Period3', readonly=True),
- 'analyzed_period4_per_dept' : fields.float('This Dept Period4', readonly=True),
- 'analyzed_period5_per_dept' : fields.float('This Dept Period5', readonly=True),
- 'analyzed_period1_per_warehouse' : fields.float('This Warehouse Period1', readonly=True),
- 'analyzed_period2_per_warehouse' : fields.float('This Warehouse Period2', readonly=True),
- 'analyzed_period3_per_warehouse' : fields.float('This Warehouse Period3', readonly=True),
- 'analyzed_period4_per_warehouse' : fields.float('This Warehouse Period4', readonly=True),
- 'analyzed_period5_per_warehouse' : fields.float('This Warehouse Period5', readonly=True),
- 'analyzed_period1_per_company' : fields.float('This Copmany Period1', readonly=True),
- 'analyzed_period2_per_company' : fields.float('This Company Period2', readonly=True),
- 'analyzed_period3_per_company' : fields.float('This Company Period3', readonly=True),
- 'analyzed_period4_per_company' : fields.float('This Company Period4', readonly=True),
- 'analyzed_period5_per_company' : fields.float('This Company Period5', readonly=True),
+ 'analyzed_period1_per_user': fields.float('This User Period1', readonly=True),
+ 'analyzed_period2_per_user': fields.float('This User Period2', readonly=True),
+ 'analyzed_period3_per_user': fields.float('This User Period3', readonly=True),
+ 'analyzed_period4_per_user': fields.float('This User Period4', readonly=True),
+ 'analyzed_period5_per_user': fields.float('This User Period5', readonly=True),
+ 'analyzed_period1_per_dept': fields.float('This Dept Period1', readonly=True),
+ 'analyzed_period2_per_dept': fields.float('This Dept Period2', readonly=True),
+ 'analyzed_period3_per_dept': fields.float('This Dept Period3', readonly=True),
+ 'analyzed_period4_per_dept': fields.float('This Dept Period4', readonly=True),
+ 'analyzed_period5_per_dept': fields.float('This Dept Period5', readonly=True),
+ 'analyzed_period1_per_warehouse': fields.float('This Warehouse Period1', readonly=True),
+ 'analyzed_period2_per_warehouse': fields.float('This Warehouse Period2', readonly=True),
+ 'analyzed_period3_per_warehouse': fields.float('This Warehouse Period3', readonly=True),
+ 'analyzed_period4_per_warehouse': fields.float('This Warehouse Period4', readonly=True),
+ 'analyzed_period5_per_warehouse': fields.float('This Warehouse Period5', readonly=True),
+ 'analyzed_period1_per_company': fields.float('This Copmany Period1', readonly=True),
+ 'analyzed_period2_per_company': fields.float('This Company Period2', readonly=True),
+ 'analyzed_period3_per_company': fields.float('This Company Period3', readonly=True),
+ 'analyzed_period4_per_company': fields.float('This Company Period4', readonly=True),
+ 'analyzed_period5_per_company': fields.float('This Company Period5', readonly=True),
}
_defaults = {
'user_id': lambda obj, cr, uid, context: uid,
- 'state': lambda *args: 'draft',
+ 'state': 'draft',
'company_id': lambda self,cr,uid,c: self.pool.get('res.company')._company_default_get(cr, uid, 'stock.sale.forecast', context=c),
}
def action_validate(self, cr, uid, ids, *args):
- self.write(cr, uid, ids, {'state':'validated','user_id':uid})
+ self.write(cr, uid, ids, {'state': 'validated','user_id': uid})
return True
-
- def unlink(self, cr, uid, ids, context={}):
+
+ def unlink(self, cr, uid, ids, context=None):
forecasts = self.read(cr, uid, ids, ['state'])
unlink_ids = []
for t in forecasts:
unlink_ids.append(t['id'])
else:
raise osv.except_osv(_('Invalid action !'), _('Cannot delete Validated Sale Forecasts !'))
- osv.osv.unlink(self, cr, uid, unlink_ids,context=context)
+ osv.osv.unlink(self, cr, uid, unlink_ids, context=context)
return True
- def onchange_company(self, cr, uid, ids, company_id):
+ def onchange_company(self, cr, uid, ids, company_id=False):
result = {}
- if company_id:
- result['warehouse_id'] = False
- result['analyzed_user_id'] = False
- result['analyzed_dept_id'] = False
- result['analyzed_warehouse_id'] = False
+ if not company_id:
+ return result
+ result['warehouse_id'] = False
+ result['analyzed_user_id'] = False
+ result['analyzed_dept_id'] = False
+ result['analyzed_warehouse_id'] = False
return {'value': result}
- def product_id_change(self, cr, uid, ids, product_id):
- ret={}
+ def product_id_change(self, cr, uid, ids, product_id=False):
+ ret = {}
if product_id:
product_rec = self.pool.get('product.product').browse(cr, uid, product_id)
ret['product_uom'] = product_rec.uom_id.id
res = {'value': ret}
return res
- def onchange_uom(self, cr, uid, ids, product_uom=False, product_qty=0.0, active_uom=False ):
- ret={}
- val1 = self.browse(cr, uid, ids)
- val = val1[0]
- coeff_uom2def = self._to_default_uom_factor(cr, uid, val, active_uom, {})
- coeff_def2uom, round_value = self._from_default_uom_factor( cr, uid, val, product_uom, {})
- coeff = coeff_uom2def * coeff_def2uom
- ret['product_qty'] = rounding(coeff * product_qty, round_value)
- ret['active_uom'] = product_uom
+ def onchange_uom(self, cr, uid, ids, product_uom=False, product_qty=0.0,
+ active_uom=False, product_id=False):
+ ret = {}
+ if product_uom and product_id:
+ coeff_uom2def = self._to_default_uom_factor(cr, uid, product_id, active_uom, {})
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, product_id, product_uom, {})
+ coeff = coeff_uom2def * coeff_def2uom
+ ret['product_qty'] = rounding(coeff * product_qty, round_value)
+ ret['active_uom'] = product_uom
return {'value': ret}
- def product_amt_change(self, cr, uid, ids, product_amt = 0.0, product_uom=False):
- ret={}
- if product_amt:
+ def product_amt_change(self, cr, uid, ids, product_amt=0.0, product_uom=False, product_id=False):
+ round_value = 1
+ qty = 0.0
+ if product_amt and product_id:
+ product = self.pool.get('product.product').browse(cr, uid, product_id)
coeff_def2uom = 1
- val1 = self.browse(cr, uid, ids)
- val = val1[0]
- if (product_uom != val.product_id.uom_id.id):
- coeff_def2uom, rounding = self._from_default_uom_factor( cr, uid, val, product_uom, {})
- ret['product_qty'] = rounding(coeff_def2uom * product_amt/(val.product_id.product_tmpl_id.list_price), round_value)
- res = {'value': ret}
+ if (product_uom != product.uom_id.id):
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, product_id, product_uom, {})
+ qty = rounding(coeff_def2uom * product_amt/(product.product_tmpl_id.list_price), round_value)
+ res = {'value': {'product_qty': qty}}
return res
- def _to_default_uom_factor(self, cr, uid, val, uom_id, context):
+ def _to_default_uom_factor(self, cr, uid, product_id, uom_id, context=None):
uom_obj = self.pool.get('product.uom')
+ product_obj = self.pool.get('product.product')
+ product = product_obj.browse(cr, uid, product_id, context=context)
uom = uom_obj.browse(cr, uid, uom_id, context=context)
- coef = uom.factor
- if uom.category_id.id <> val.product_id.uom_id.category_id.id:
- coef = coef / val.product_id.uos_coeff
- return val.product_id.uom_id.factor / coef
+ coef = uom.factor
+ if uom.category_id.id <> product.uom_id.category_id.id:
+ coef = coef / product.uos_coeff
+ return product.uom_id.factor / coef
- def _from_default_uom_factor(self, cr, uid, val, uom_id, context):
+ def _from_default_uom_factor(self, cr, uid, product_id, uom_id, context=None):
uom_obj = self.pool.get('product.uom')
+ product_obj = self.pool.get('product.product')
+ product = product_obj.browse(cr, uid, product_id, context=context)
uom = uom_obj.browse(cr, uid, uom_id, context=context)
res = uom.factor
- if uom.category_id.id <> val.product_id.uom_id.category_id.id:
- res = res / val.product_id.uos_coeff
- return res / val.product_id.uom_id.factor, uom.rounding
+ if uom.category_id.id <> product.uom_id.category_id.id:
+ res = res / product.uos_coeff
+ return res / product.uom_id.factor, uom.rounding
def _sales_per_users(self, cr, uid, so, so_line, company, users):
cr.execute("SELECT sum(sol.product_uom_qty) FROM sale_order_line AS sol LEFT JOIN sale_order AS s ON (s.id = sol.order_id) " \
- "WHERE (sol.id IN (%s)) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN (%s)) AND (s.company_id=%s) " \
- "AND (s.user_id IN (%s)) " %(so_line, so, company, users))
+ "WHERE (sol.id IN %s) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN %s) AND (s.company_id=%s) " \
+ "AND (s.user_id IN %s) " ,(tuple(so_line), tuple(so), company, tuple(users)))
ret = cr.fetchone()[0] or 0.0
return ret
- def _sales_per_warehouse(self, cr, uid, so, so_line, company, shops):
+ def _sales_per_warehouse(self, cr, uid, so, so_line, company, shops):
cr.execute("SELECT sum(sol.product_uom_qty) FROM sale_order_line AS sol LEFT JOIN sale_order AS s ON (s.id = sol.order_id) " \
- "WHERE (sol.id IN (%s)) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN (%s))AND (s.company_id=%s) " \
- "AND (s.shop_id IN (%s))" %(so_line, so, company, shops))
+ "WHERE (sol.id IN %s) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN %s)AND (s.company_id=%s) " \
+ "AND (s.shop_id IN %s)" ,(tuple(so_line), tuple(so), company, tuple(shops)))
ret = cr.fetchone()[0] or 0.0
return ret
- def _sales_per_company(self, cr, uid, so, so_line, company, ):
+ def _sales_per_company(self, cr, uid, so, so_line, company):
cr.execute("SELECT sum(sol.product_uom_qty) FROM sale_order_line AS sol LEFT JOIN sale_order AS s ON (s.id = sol.order_id) " \
- "WHERE (sol.id IN (%s)) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN (%s)) AND (s.company_id=%s)"%(so_line, so, company))
+ "WHERE (sol.id IN %s) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN %s) AND (s.company_id=%s)", (tuple(so_line), tuple(so), company))
ret = cr.fetchone()[0] or 0.0
return ret
-
+
def calculate_sales_history(self, cr, uid, ids, context, *args):
- sales=[[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],]
- for obj in self.browse(cr, uid, ids):
- periods =obj.analyzed_period1_id, obj.analyzed_period2_id, obj.analyzed_period3_id, obj.analyzed_period4_id, obj.analyzed_period5_id
+ sales = [[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],]
+ for obj in self.browse(cr, uid, ids, context=context):
+ periods = obj.analyzed_period1_id, obj.analyzed_period2_id, obj.analyzed_period3_id, obj.analyzed_period4_id, obj.analyzed_period5_id
so_obj = self.pool.get('sale.order')
- so_line_obj= self.pool.get('sale.order.line')
+ so_line_obj = self.pool.get('sale.order.line')
so_line_product_ids = so_line_obj.search(cr, uid, [('product_id','=', obj.product_id.id)], context = context)
if so_line_product_ids:
so_line_product_set = ','.join(map(str,so_line_product_ids))
dept_obj = self.pool.get('hr.department')
dept_id = obj.analyzed_dept_id.id and [obj.analyzed_dept_id.id] or []
dept_ids = dept_obj.search(cr,uid,[('parent_id','child_of',dept_id)])
- dept_ids_set = ','.join(map(str,dept_ids))
- cr.execute("SELECT user_id FROM hr_department_user_rel WHERE (department_id IN (%s))" %(dept_ids_set))
+ cr.execute("SELECT user_id FROM resource_resource rsc, hr_employee emp WHERE (emp.resource_id = rsc.id and emp.department_id IN %s)" ,(tuple(dept_ids),))
dept_users = [x for x, in cr.fetchall()]
- dept_users_set = ','.join(map(str,dept_users))
+ dept_users_set = map(str,dept_users)
else:
dept_users = False
- factor, round_value = self._from_default_uom_factor(cr, uid, obj, obj.product_uom.id, context=context)
+ factor, round_value = self._from_default_uom_factor(cr, uid, obj.product_id.id, obj.product_uom.id, context=context)
for i, period in enumerate(periods):
if period:
- so_period_ids = so_obj.search(cr, uid, [('date_order','>=',period.date_start), ('date_order','<=',period.date_stop)], context = context)
+ so_period_ids = so_obj.search(cr, uid, [('date_order','>=',period.date_start),('date_order','<=',period.date_stop) ], context = context)
if so_period_ids:
- so_period_set = ','.join(map(str,so_period_ids))
if obj.analyzed_user_id:
user_set = str(obj.analyzed_user_id.id)
- sales[i][0] =self._sales_per_users(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, user_set)
- sales[i][0] *=factor
+ sales[i][0] = self._sales_per_users(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, user_set)
+ sales[i][0] *= factor
if dept_users:
- sales[i][1]= self._sales_per_users(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, dept_users_set)
- sales[i][1]*=factor
+ sales[i][1] = self._sales_per_users(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, dept_users_set)
+ sales[i][1] *= factor
if shops:
- sales[i][2]= self._sales_per_warehouse(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, shops_set)
- sales[i][2]*=factor
+ sales[i][2] = self._sales_per_warehouse(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, shops_set)
+ sales[i][2] *= factor
if obj.analyze_company:
- sales[i][3]= self._sales_per_company(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, )
- sales[i][3]*=factor
+ sales[i][3] = self._sales_per_company(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, )
+ sales[i][3] *= factor
self.write(cr, uid, ids, {
- 'analyzed_period1_per_user':sales[0][0],
- 'analyzed_period2_per_user':sales[1][0],
- 'analyzed_period3_per_user':sales[2][0],
- 'analyzed_period4_per_user':sales[3][0],
- 'analyzed_period5_per_user':sales[4][0],
- 'analyzed_period1_per_dept':sales[0][1],
- 'analyzed_period2_per_dept':sales[1][1],
- 'analyzed_period3_per_dept':sales[2][1],
- 'analyzed_period4_per_dept':sales[3][1],
- 'analyzed_period5_per_dept':sales[4][1],
- 'analyzed_period1_per_warehouse':sales[0][2],
- 'analyzed_period2_per_warehouse':sales[1][2],
- 'analyzed_period3_per_warehouse':sales[2][2],
- 'analyzed_period4_per_warehouse':sales[3][2],
- 'analyzed_period5_per_warehouse':sales[4][2],
- 'analyzed_period1_per_company':sales[0][3],
- 'analyzed_period2_per_company':sales[1][3],
- 'analyzed_period3_per_company':sales[2][3],
- 'analyzed_period4_per_company':sales[3][3],
- 'analyzed_period5_per_company':sales[4][3],
+ 'analyzed_period1_per_user': sales[0][0],
+ 'analyzed_period2_per_user': sales[1][0],
+ 'analyzed_period3_per_user': sales[2][0],
+ 'analyzed_period4_per_user': sales[3][0],
+ 'analyzed_period5_per_user': sales[4][0],
+ 'analyzed_period1_per_dept': sales[0][1],
+ 'analyzed_period2_per_dept': sales[1][1],
+ 'analyzed_period3_per_dept': sales[2][1],
+ 'analyzed_period4_per_dept': sales[3][1],
+ 'analyzed_period5_per_dept': sales[4][1],
+ 'analyzed_period1_per_warehouse': sales[0][2],
+ 'analyzed_period2_per_warehouse': sales[1][2],
+ 'analyzed_period3_per_warehouse': sales[2][2],
+ 'analyzed_period4_per_warehouse': sales[3][2],
+ 'analyzed_period5_per_warehouse': sales[4][2],
+ 'analyzed_period1_per_company': sales[0][3],
+ 'analyzed_period2_per_company': sales[1][3],
+ 'analyzed_period3_per_company': sales[2][3],
+ 'analyzed_period4_per_company': sales[3][3],
+ 'analyzed_period5_per_company': sales[4][3],
})
return True
-
stock_sale_forecast()
-# Creates stock planning records for products from selected Product Category for selected 'Warehouse - Period'
-# Object added by contributor in ver 1.1
-class stock_planning_createlines(osv.osv_memory):
- _name = "stock.planning.createlines"
-
- def onchange_company(self, cr, uid, ids, company_id):
- result = {}
- if company_id:
- result['warehouse_id2'] = False
- return {'value': result}
-
- _columns = {
- 'company_id': fields.many2one('res.company', 'Company', required = True),
- 'period_id2': fields.many2one('stock.period' , 'Period', required=True, help = 'Period which planning will concern.'),
- 'warehouse_id2': fields.many2one('stock.warehouse' , 'Warehouse', required=True, help = 'Warehouse which planning will concern.'),
- 'product_categ_id2': fields.many2one('product.category' , 'Product Category', \
- help = 'Planning will be created for products from Product Category selected by this field. '\
- 'This field is ignored when you check \"All Forecasted Product\" box.' ),
- 'forecasted_products': fields.boolean('All Products with Forecast', \
- help = "Check this box to create planning for all products having any forecast for selected Warehouse and Period. "\
- "Product Category field will be ignored."),
- }
-
- _defaults = {
- 'company_id': lambda self,cr,uid,c: self.pool.get('res.company')._company_default_get(cr, uid, 'stock.planning', context=c),
- }
-
- def create_planning(self,cr, uid, ids, context={}):
- product_obj = self.pool.get('product.product')
- planning_obj=self.pool.get('stock.planning')
-
- for f in self.browse(cr, uid, ids, context=context):
- if f.forecasted_products:
- cr.execute("SELECT product_id \
- FROM stock_sale_forecast \
- WHERE (period_id = %s) AND (warehouse_id = %s)", (f.period_id2.id, f.warehouse_id2.id))
- products_id1 = [x for x, in cr.fetchall()]
- else:
- prod_categ_obj=self.pool.get('product.category')
- template_obj=self.pool.get('product.template')
- categ_ids = f.product_categ_id2.id and [f.product_categ_id2.id] or []
- prod_categ_ids=prod_categ_obj.search(cr,uid,[('parent_id','child_of',categ_ids)])
- templates_ids = template_obj.search(cr,uid,[('categ_id','in',prod_categ_ids)])
- products_id1 = product_obj.search(cr,uid,[('product_tmpl_id','in',templates_ids)])
- if len(products_id1)==0:
- raise osv.except_osv(_('Error !'), _('No forecasts for selected period or no products in selected category !'))
-
- for p in product_obj.browse(cr, uid, products_id1,context=context):
- if len(planning_obj.search(cr, uid, [('product_id','=',p.id),
- ('period_id','=',f.period_id2.id),
- ('warehouse_id','=',f.warehouse_id2.id)]))== 0:
- cr.execute("SELECT period.date_stop, planning.product_uom, planning.planned_outgoing, planning.to_procure, \
- planning.stock_only, planning.procure_to_stock, planning.confirmed_forecasts_only, \
- planning.supply_warehouse_id, planning.stock_supply_location \
- FROM stock_planning AS planning \
- LEFT JOIN stock_period AS period \
- ON planning.period_id = period.id \
- WHERE (planning.create_uid = %s OR planning.write_uid = %s) \
- AND planning.warehouse_id = %s AND planning.product_id = %s \
- AND period.date_stop < %s \
- ORDER BY period.date_stop DESC",
- (uid, uid, f.warehouse_id2.id, p.id, f.period_id2.date_stop) )
- ret=cr.fetchone()
-# forecast_qty = ret and ret[0] or 0.0
- if ret:
-# raise osv.except_osv(_('Error !'), _('ret is %s %s %s %s %s %s')%(ret[0],ret[2],ret[3],ret[4],ret[5],ret[6],))
- prod_uom = ret[1]
- planned_out = ret[2]
- to_procure = ret[3]
- stock_only = ret[4]
- procure_to_stock = ret[5]
- confirmed_forecasts_only = ret[6]
- supply_warehouse_id = ret[7]
- stock_supply_location = ret[8]
- else:
- prod_uom = p.uom_id.id
- planned_out = False
- to_procure = False
- stock_only = False
- procure_to_stock = False
- confirmed_forecasts_only = False
- supply_warehouse_id = False
- stock_supply_location = False
- prod_uos_categ = False
- if p.uos_id:
- prod_uos_categ = p.uos_id.category_id.id
- planning_obj.create(cr, uid, {
- 'company_id' : f.warehouse_id2.company_id.id,
- 'period_id': f.period_id2.id,
- 'warehouse_id' : f.warehouse_id2.id,
- 'product_id': p.id,
- 'product_uom' : prod_uom,
- 'product_uom_categ' : p.uom_id.category_id.id,
- 'product_uos_categ' : prod_uos_categ,
- 'active_uom' : prod_uom,
- 'planned_outgoing': planned_out,
- 'to_procure': to_procure,
- 'stock_only': stock_only,
- 'procure_to_stock': procure_to_stock,
- 'confirmed_forecasts_only': confirmed_forecasts_only,
- 'supply_warehouse_id': supply_warehouse_id,
- 'stock_supply_location': stock_supply_location,
-
- })
- return {
- 'view_type': 'form',
- "view_mode": 'tree',
- 'res_model': 'stock.planning',
- 'type': 'ir.actions.act_window',
- }
-stock_planning_createlines()
-
-
# The main Stock Planning object
# A lot of changes by contributor in ver 1.1
class stock_planning(osv.osv):
_name = "stock.planning"
-
- def _get_in_out(self, cr, uid, val, date_start, date_stop, direction, done, context):
-# res = {}
-# if not context:
-# context = {}
+
+ def _get_in_out(self, cr, uid, val, date_start, date_stop, direction, done, context=None):
+ if context is None:
+ context = {}
+ product_obj = self.pool.get('product.product')
mapping = {'in': {
'field': "incoming_qty",
'adapter': lambda x: x,
locations.extend([val.warehouse_id.lot_input_id.id, val.warehouse_id.lot_output_id.id])
context['location'] = locations
context['compute_child'] = True
- product_obj = self.pool.get('product.product')
prod_id = val.product_id.id
if done:
- c1=context.copy()
- c1.update({ 'states':('done',), 'what':(direction,) })
+ context.update({ 'states':('done',), 'what':(direction,) })
prod_ids = [prod_id]
- st = product_obj.get_product_available(cr,uid, prod_ids, context=c1)
+ st = product_obj.get_product_available(cr, uid, prod_ids, context=context)
res = mapping[direction]['adapter'](st.get(prod_id,0.0))
else:
- product=product_obj.read(cr, uid, prod_id,[], context)
+ product = product_obj.read(cr, uid, prod_id,[], context)
product_qty = product[mapping[direction]['field']]
res = mapping[direction]['adapter'](product_qty)
-# res[val.id] = product_obj['incoming_qty']
return res
- def _get_outgoing_before(self, cr, uid, val, date_start, date_stop, context):
+ def _get_outgoing_before(self, cr, uid, val, date_start, date_stop, context=None):
cr.execute("SELECT sum(planning.planned_outgoing), planning.product_uom \
FROM stock_planning AS planning \
LEFT JOIN stock_period AS period \
res = self._to_planning_uom(cr, uid, val, planning_qtys, context)
return res
- def _to_planning_uom(self, cr, uid, val, qtys, context):
+ def _to_planning_uom(self, cr, uid, val, qtys, context=None):
res_qty = 0
if qtys:
uom_obj = self.pool.get('product.uom')
for qty, prod_uom in qtys:
- coef = self._to_default_uom_factor(cr, uid, val, prod_uom, context=context)
- res_coef, round_value = self._from_default_uom_factor(cr, uid, val, val.product_uom.id, context=context)
+ coef = self._to_default_uom_factor(cr, uid, val.product_id.id, prod_uom, context=context)
+ res_coef, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, val.product_uom.id, context=context)
coef = coef * res_coef
res_qty += rounding(qty * coef, round_value)
return res_qty
-
- def _get_forecast(self, cr, uid, ids, field_names, arg, context):
+
+ def _get_forecast(self, cr, uid, ids, field_names, arg, context=None):
res = {}
- for val in self.browse(cr, uid, ids):
- res[val.id]={}
+ for val in self.browse(cr, uid, ids, context=context):
+ res[val.id] = {}
valid_part = val.confirmed_forecasts_only and " AND state = 'validated'" or ""
cr.execute('SELECT sum(product_qty), product_uom \
FROM stock_sale_forecast \
res[val.id]['warehouse_forecast'] = rounding(res[val.id]['warehouse_forecast'], val.product_id.uom_id.rounding)
return res
- def _get_stock_start(self, cr, uid, val, date, context):
+ def _get_stock_start(self, cr, uid, val, date, context=None):
+ if context is None:
+ context = {}
context['from_date'] = None
context['to_date'] = date
locations = [val.warehouse_id.lot_stock_id.id,]
product_obj = self.pool.get('product.product').read(cr, uid,val.product_id.id,[], context)
res = product_obj['qty_available'] # value for stock_start
return res
-
- def _get_past_future(self, cr, uid, ids, field_names, arg, context):
+
+ def _get_past_future(self, cr, uid, ids, field_names, arg, context=None):
res = {}
for val in self.browse(cr, uid, ids, context=context):
if val.period_id.date_stop < time.strftime('%Y-%m-%d'):
res[val.id] = 'Future'
return res
- def _get_op(self, cr, uid, ids, field_names, arg, context): # op = OrderPoint
+ def _get_op(self, cr, uid, ids, field_names, arg, context=None): # op = OrderPoint
res = {}
for val in self.browse(cr, uid, ids, context=context):
res[val.id]={}
cr.execute("SELECT product_min_qty, product_max_qty, product_uom \
FROM stock_warehouse_orderpoint \
WHERE warehouse_id = %s AND product_id = %s AND active = 'TRUE'", (val.warehouse_id.id, val.product_id.id))
- ret = cr.fetchone() or [0.0,0.0,False]
+ ret = cr.fetchone() or [0.0,0.0,False]
coef = 1
round_value = 1
if ret[2]:
- coef = self._to_default_uom_factor(cr, uid, val, ret[2], context)
- res_coef, round_value = self._from_default_uom_factor(cr, uid, val, val.product_uom.id, context=context)
+ coef = self._to_default_uom_factor(cr, uid, val.product_id.id, ret[2], context)
+ res_coef, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, val.product_uom.id, context=context)
coef = coef * res_coef
res[val.id]['minimum_op'] = rounding(ret[0]*coef, round_value)
res[val.id]['maximum_op'] = ret[1]*coef
return res
-
- def onchange_company(self, cr, uid, ids, company_id):
+
+ def onchange_company(self, cr, uid, ids, company_id=False):
result = {}
if company_id:
result['warehouse_id'] = False
return {'value': result}
- def onchange_uom(self, cr, uid, ids, product_uom, ):
+ def onchange_uom(self, cr, uid, ids, product_uom=False, product_id=False, active_uom=False,
+ planned_outgoing=0.0, to_procure=0.0):
+ ret = {}
if not product_uom:
return {}
- ret={}
- val1 = self.browse(cr, uid, ids)
- val = val1[0]
- coeff_uom2def = self._to_default_uom_factor(cr, uid, val, val.active_uom.id, {})
- coeff_def2uom, round_value = self._from_default_uom_factor( cr, uid, val, product_uom, {})
- coeff = coeff_uom2def * coeff_def2uom
- ret['planned_outgoing'] = rounding(coeff * val.planned_outgoing, round_value)
- ret['to_procure'] = rounding(coeff * val.to_procure, round_value)
+ if active_uom:
+ coeff_uom2def = self._to_default_uom_factor(cr, uid, product_id, active_uom, {})
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, product_id, product_uom, {})
+ coeff = coeff_uom2def * coeff_def2uom
+ ret['planned_outgoing'] = rounding(coeff * planned_outgoing, round_value)
+ ret['to_procure'] = rounding(coeff * to_procure, round_value)
ret['active_uom'] = product_uom
return {'value': ret}
_columns = {
'company_id': fields.many2one('res.company', 'Company', required = True),
- 'history' : fields.text('Procurement History', readonly=True, help = "History of procurement or internal supply of this planning line."),
+ 'history': fields.text('Procurement History', readonly=True, help = "History of procurement or internal supply of this planning line."),
'state' : fields.selection([('draft','Draft'),('done','Done')],'State',readonly=True),
'period_id': fields.many2one('stock.period' , 'Period', required=True, \
help = 'Period for this planning. Requisition will be created for beginning of the period.'),
- 'warehouse_id' : fields.many2one('stock.warehouse','Warehouse', required=True),
+ 'warehouse_id': fields.many2one('stock.warehouse','Warehouse', required=True),
'product_id': fields.many2one('product.product' , 'Product', required=True, help = 'Product which this planning is created for.'),
'product_uom_categ' : fields.many2one('product.uom.categ', 'Product UoM Category'), # Invisible field for product_uom domain
- 'product_uom' : fields.many2one('product.uom', 'UoM', required=True, help = "Unit of Measure used to show the quanities of stock calculation." \
+ 'product_uom': fields.many2one('product.uom', 'UoM', required=True, help = "Unit of Measure used to show the quanities of stock calculation." \
"You can use units form default category or from second category (UoS category)."),
- 'product_uos_categ' : fields.many2one('product.uom.categ', 'Product UoM Category'), # Invisible field for product_uos domain
+ 'product_uos_categ': fields.many2one('product.uom.categ', 'Product UoM Category'), # Invisible field for product_uos domain
# Field used in onchange_uom to check what uom was before change to recalculate quantities acording to old uom (active_uom) and new uom.
- 'active_uom' :fields.many2one('product.uom', string = "Active UoM"),
- 'planned_outgoing' : fields.float('Planned Out', required=True, \
+ 'active_uom': fields.many2one('product.uom', string = "Active UoM"),
+ 'planned_outgoing': fields.float('Planned Out', required=True, \
help = 'Enter planned outgoing quantity from selected Warehouse during the selected Period of selected Product. '\
'To plan this value look at Confirmed Out or Sales Forecasts. This value should be equal or greater than Confirmed Out.'),
- 'company_forecast': fields.function(_get_forecast, method=True, string ='Company Forecast', multi = 'company', \
+ 'company_forecast': fields.function(_get_forecast, string ='Company Forecast', multi = 'company', \
help = 'All sales forecasts for whole company (for all Warehouses) of selected Product during selected Period.'),
- 'warehouse_forecast': fields.function(_get_forecast, method=True, string ='Warehouse Forecast', multi = 'warehouse',\
+ 'warehouse_forecast': fields.function(_get_forecast, string ='Warehouse Forecast', multi = 'warehouse',\
help = 'All sales forecasts for selected Warehouse of selected Product during selected Period.'),
'stock_simulation': fields.float('Stock Simulation', readonly =True, \
help = 'Stock simulation at the end of selected Period.\n For current period it is: \n' \
'to_procure': fields.float(string='Planned In', required=True, \
help = 'Enter quantity which (by your plan) should come in. Change this value and observe Stock simulation. ' \
'This value should be equal or greater than Confirmed In.'),
- 'line_time' : fields.function(_get_past_future, method=True,type='char', string='Past/Future'),
- 'minimum_op' : fields.function(_get_op, method=True, type='float', string = 'Minimum Rule', multi= 'minimum', \
+ 'line_time': fields.function(_get_past_future,type='char', string='Past/Future'),
+ 'minimum_op': fields.function(_get_op, type='float', string = 'Minimum Rule', multi= 'minimum', \
help = 'Minimum quantity set in Minimum Stock Rules for this Warhouse'),
- 'maximum_op' : fields.function(_get_op, method=True, type='float', string = 'Maximum Rule', multi= 'maximum', \
+ 'maximum_op': fields.function(_get_op, type='float', string = 'Maximum Rule', multi= 'maximum', \
help = 'Maximum quantity set in Minimum Stock Rules for this Warhouse'),
- 'outgoing_before' : fields.float('Planned Out Before', readonly=True, \
+ 'outgoing_before': fields.float('Planned Out Before', readonly=True, \
help= 'Planned Out in periods before calculated. '\
'Between start date of current period and one day before start of calculated period.'),
'incoming_before': fields.float('Incoming Before', readonly = True, \
help= 'Confirmed incoming in periods before calculated (Including Already In). '\
'Between start date of current period and one day before start of calculated period.'),
- 'stock_start' : fields.float('Initial Stock', readonly=True, \
+ 'stock_start': fields.float('Initial Stock', readonly=True, \
help= 'Stock quantity one day before current period.'),
- 'already_out' : fields.float('Already Out', readonly=True, \
+ 'already_out': fields.float('Already Out', readonly=True, \
help= 'Quantity which is already dispatched out of this warehouse in current period.'),
- 'already_in' : fields.float('Already In', readonly=True, \
+ 'already_in': fields.float('Already In', readonly=True, \
help= 'Quantity which is already picked up to this warehouse in current period.'),
- 'stock_only' : fields.boolean("Stock Location Only", help = "Check to calculate stock location of selected warehouse only. " \
+ 'stock_only': fields.boolean("Stock Location Only", help = "Check to calculate stock location of selected warehouse only. " \
"If not selected calculation is made for input, stock and output location of warehouse."),
- "procure_to_stock" : fields.boolean("Procure To Stock Location", help = "Chect to make procurement to stock location of selected warehouse. " \
+ "procure_to_stock": fields.boolean("Procure To Stock Location", help = "Chect to make procurement to stock location of selected warehouse. " \
"If not selected procurement will be made into input location of warehouse."),
- "confirmed_forecasts_only" : fields.boolean("Validated Forecasts", help = "Check to take validated forecasts only. " \
+ "confirmed_forecasts_only": fields.boolean("Validated Forecasts", help = "Check to take validated forecasts only. " \
"If not checked system takes validated and draft forecasts."),
- 'supply_warehouse_id' : fields.many2one('stock.warehouse','Source Warehouse', help = "Warehouse used as source in supply pick move created by 'Supply from Another Warhouse'."),
- "stock_supply_location" : fields.boolean("Stock Supply Location", help = "Check to supply from Stock location of Supply Warehouse. " \
+ 'supply_warehouse_id': fields.many2one('stock.warehouse','Source Warehouse', help = "Warehouse used as source in supply pick move created by 'Supply from Another Warhouse'."),
+ "stock_supply_location": fields.boolean("Stock Supply Location", help = "Check to supply from Stock location of Supply Warehouse. " \
"If not checked supply will be made from Output location of Supply Warehouse. Used in 'Supply from Another Warhouse' with Supply Warehouse."),
}
_defaults = {
'state': lambda *args: 'draft' ,
- 'to_procure' : 0.0,
- 'planned_outgoing' : 0.0,
+ 'to_procure': 0.0,
+ 'planned_outgoing': 0.0,
'company_id': lambda self,cr,uid,c: self.pool.get('res.company')._company_default_get(cr, uid, 'stock.planning', context=c),
- }
-
+ }
+
_order = 'period_id'
- def _to_default_uom_factor(self, cr, uid, val, uom_id, context):
+ def _to_default_uom_factor(self, cr, uid, product_id, uom_id, context=None):
uom_obj = self.pool.get('product.uom')
+ product_obj = self.pool.get('product.product')
+ product = product_obj.browse(cr, uid, product_id, context=context)
uom = uom_obj.browse(cr, uid, uom_id, context=context)
- coef = uom.factor
- if uom.category_id.id != val.product_id.uom_id.category_id.id:
- coef = coef / val.product_id.uos_coeff
- return val.product_id.uom_id.factor / coef
+ coef = uom.factor
+ if uom.category_id.id != product.uom_id.category_id.id:
+ coef = coef / product.uos_coeff
+ return product.uom_id.factor / coef
- def _from_default_uom_factor(self, cr, uid, val, uom_id, context):
+ def _from_default_uom_factor(self, cr, uid, product_id, uom_id, context=None):
uom_obj = self.pool.get('product.uom')
+ product_obj = self.pool.get('product.product')
+ product = product_obj.browse(cr, uid, product_id, context=context)
uom = uom_obj.browse(cr, uid, uom_id, context=context)
res = uom.factor
- if uom.category_id.id != val.product_id.uom_id.category_id.id:
- res = res / val.product_id.uos_coeff
- return res / val.product_id.uom_id.factor, uom.rounding
+ if uom.category_id.id != product.uom_id.category_id.id:
+ res = res / product.uos_coeff
+ return res / product.uom_id.factor, uom.rounding
def calculate_planning(self, cr, uid, ids, context, *args):
- one_minute = RelativeDateTime(minutes=1)
- current_date_beginning_c = mx.DateTime.today()
- current_date_end_c = current_date_beginning_c + RelativeDateTime(days=1, minutes=-1) # to get hour 23:59:00
+ one_minute = relativedelta(minutes=1)
+ current_date_beginning_c = datetime.today()
+ current_date_end_c = current_date_beginning_c + relativedelta(days=1, minutes=-1) # to get hour 23:59:00
current_date_beginning = current_date_beginning_c.strftime('%Y-%m-%d %H:%M:%S')
current_date_end = current_date_end_c.strftime('%Y-%m-%d %H:%M:%S')
for val in self.browse(cr, uid, ids, context=context):
- day = mx.DateTime.strptime(val.period_id.date_start, '%Y-%m-%d %H:%M:%S')
- dbefore = mx.DateTime.DateTime(day.year, day.month, day.day) - one_minute
+ day = datetime.strptime(val.period_id.date_start, '%Y-%m-%d %H:%M:%S')
+ dbefore = datetime(day.year, day.month, day.day) - one_minute
day_before_calculated_period = dbefore.strftime('%Y-%m-%d %H:%M:%S') # one day before start of calculated period
cr.execute("SELECT date_start \
FROM stock_period AS period \
date = cr.fetchone()
start_date_current_period = date and date[0] or False
start_date_current_period = start_date_current_period or current_date_beginning
- day = mx.DateTime.strptime(start_date_current_period, '%Y-%m-%d %H:%M:%S')
- dbefore = mx.DateTime.DateTime(day.year, day.month, day.day) - one_minute
+
+ day = datetime.strptime(start_date_current_period, '%Y-%m-%d %H:%M:%S')
+ dbefore = datetime(day.year, day.month, day.day) - one_minute
date_for_start = dbefore.strftime('%Y-%m-%d %H:%M:%S') # one day before current period
- already_out = self._get_in_out(cr, uid, val, start_date_current_period, current_date_end, direction='out', done = True, context=context),
- already_in = self._get_in_out(cr, uid, val, start_date_current_period, current_date_end, direction='in', done = True, context=context),
- outgoing = self._get_in_out(cr, uid, val, val.period_id.date_start, val.period_id.date_stop, direction='out', done = False, context=context),
- incoming = self._get_in_out(cr, uid, val, val.period_id.date_start, val.period_id.date_stop, direction='in', done = False, context=context),
+ already_out = self._get_in_out(cr, uid, val, start_date_current_period, current_date_end, direction='out', done=True, context=context),
+ already_in = self._get_in_out(cr, uid, val, start_date_current_period, current_date_end, direction='in', done=True, context=context),
+ outgoing = self._get_in_out(cr, uid, val, val.period_id.date_start, val.period_id.date_stop, direction='out', done=False, context=context),
+ incoming = self._get_in_out(cr, uid, val, val.period_id.date_start, val.period_id.date_stop, direction='in', done=False, context=context),
outgoing_before = self._get_outgoing_before(cr, uid, val, start_date_current_period, day_before_calculated_period, context=context),
- incoming_before = self._get_in_out(cr, uid, val, start_date_current_period, day_before_calculated_period, direction='in', done = False, context=context),
+ incoming_before = self._get_in_out(cr, uid, val, start_date_current_period, day_before_calculated_period, direction='in', done=False, context=context),
stock_start = self._get_stock_start(cr, uid, val, date_for_start, context=context),
if start_date_current_period == val.period_id.date_start: # current period is calculated
- current=True
+ current = True
else:
- current=False
- factor, round_value = self._from_default_uom_factor(cr, uid, val, val.product_uom.id, context=context)
+ current = False
+ factor, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, val.product_uom.id, context=context)
self.write(cr, uid, ids, {
'already_out': rounding(already_out[0]*factor,round_value),
'already_in': rounding(already_in[0]*factor,round_value),
'incoming_before': rounding((incoming_before[0]+ (not current and already_in[0]))*factor,round_value),
'outgoing_left': rounding(val.planned_outgoing - (outgoing[0] + (current and already_out[0]))*factor,round_value),
'incoming_left': rounding(val.to_procure - (incoming[0] + (current and already_in[0]))*factor,round_value),
- 'stock_start' : rounding(stock_start[0]*factor,round_value),
+ 'stock_start': rounding(stock_start[0]*factor,round_value),
'stock_simulation': rounding(val.to_procure - val.planned_outgoing + (stock_start[0]+ incoming_before[0] - outgoing_before[0] \
+ (not current and already_in[0]))*factor,round_value),
})
return True
# method below converts quantities and uoms to general OpenERP standard with UoM Qty, UoM, UoS Qty, UoS.
-# from stock_planning standard where you have one Qty and one UoM (any from UoM or UoS category)
+# from stock_planning standard where you have one Qty and one UoM (any from UoM or UoS category)
# so if UoM is from UoM category it is used as UoM in standard and if product has UoS the UoS will be calcualated.
-# If UoM is from UoS category it is recalculated to basic UoS from product (in planning you can use any UoS from UoS category)
+# If UoM is from UoS category it is recalculated to basic UoS from product (in planning you can use any UoS from UoS category)
# and basic UoM is calculated.
- def _qty_to_standard(self, cr, uid, val, context):
+ def _qty_to_standard(self, cr, uid, val, context=None):
uos = False
uos_qty = 0.0
if val.product_uom.category_id.id == val.product_id.uom_id.category_id.id:
uom = val.product_uom.id
if val.product_id.uos_id:
uos = val.product_id.uos_id.id
- coeff_uom2def = self._to_default_uom_factor(cr, uid, val, val.product_uom.id, {})
- coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val, uos, {})
+ coeff_uom2def = self._to_default_uom_factor(cr, uid, val.product_id.id, val.product_uom.id, {})
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, uos, {})
uos_qty = rounding(val.incoming_left * coeff_uom2def * coeff_def2uom, round_value)
elif val.product_uom.category_id.id == val.product_id.uos_id.category_id.id:
- coeff_uom2def = self._to_default_uom_factor(cr, uid, val, val.product_uom.id, {})
+ coeff_uom2def = self._to_default_uom_factor(cr, uid, val.product_id.id, val.product_uom.id, {})
uos = val.product_id.uos_id.id
- coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val, uos, {})
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, uos, {})
uos_qty = rounding(val.incoming_left * coeff_uom2def * coeff_def2uom, round_value)
uom = val.product_id.uom_id.id
- coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val, uom, {})
+ coeff_def2uom, round_value = self._from_default_uom_factor(cr, uid, val.product_id.id, uom, {})
uom_qty = rounding(val.incoming_left * coeff_uom2def * coeff_def2uom, round_value)
return uom_qty, uom, uos_qty, uos
-
+
def procure_incomming_left(self, cr, uid, ids, context, *args):
- for obj in self.browse(cr, uid, ids):
+ for obj in self.browse(cr, uid, ids, context=context):
if obj.incoming_left <= 0:
raise osv.except_osv(_('Error !'), _('Incoming Left must be greater than 0 !'))
uom_qty, uom, uos_qty, uos = self._qty_to_standard(cr, uid, obj, context)
- user = self.pool.get('res.users').browse(cr, uid, uid, context)
- proc_id = self.pool.get('mrp.procurement').create(cr, uid, {
+ user = self.pool.get('res.users').browse(cr, uid, uid, context=context)
+ proc_id = self.pool.get('procurement.order').create(cr, uid, {
'company_id' : obj.company_id.id,
- 'name': _('Manual planning for ') + obj.period_id.name,
- 'origin': _('MPS(') + str(user.login) +') '+ obj.period_id.name,
+ 'name': _('Manual planning for %s') %(obj.period_id.name),
+ 'origin': _('MPS(%s) %s') %(user.login, obj.period_id.name),
'date_planned': obj.period_id.date_start,
'product_id': obj.product_id.id,
'product_qty': uom_qty,
'product_uom': uom,
'product_uos_qty': uos_qty,
'product_uos': uos,
- 'location_id': obj.procure_to_stock and obj.warehouse_id.lot_stock_id.id or obj.warehouse_id.lot_input_id.id,
+ 'location_id': obj.procure_to_stock and obj.warehouse_id.lot_stock_id.id or obj.warehouse_id.lot_input_id.id,
'procure_method': 'make_to_order',
- 'note' : _("Procurement created in MPS by user: ") + str(user.login) + _(" Creation Date: ") + \
- time.strftime('%Y-%m-%d %H:%M:%S') + \
- _("\nFor period: ") + obj.period_id.name + _(" according to state:") + \
- _("\n Warehouse Forecast: ") + str(obj.warehouse_forecast) + \
- _("\n Initial Stock: ") + str(obj.stock_start) + \
- _("\n Planned Out: ") + str(obj.planned_outgoing) + _(" Planned In: ") + str(obj.to_procure) + \
- _("\n Already Out: ") + str(obj.already_out) + _(" Already In: ") + str(obj.already_in) + \
- _("\n Confirmed Out: ") + str(obj.outgoing) + _(" Confirmed In: ") + str(obj.incoming) + \
- _("\n Planned Out Before: ") + str(obj.outgoing_before) + _(" Confirmed In Before: ") + \
- str(obj.incoming_before) + \
- _("\n Expected Out: ") + str(obj.outgoing_left) + _(" Incoming Left: ") + str(obj.incoming_left) + \
- _("\n Stock Simulation: ") + str(obj.stock_simulation) + _(" Minimum stock: ") + str(obj.minimum_op),
-
+ 'note' : _(' Procurement created in MPS by user: %s Creation Date: %s \
+ \n For period: %s \
+ \n according to state: \
+ \n Warehouse Forecast: %s \
+ \n Initial Stock: %s \
+ \n Planned Out: %s Planned In: %s \
+ \n Already Out: %s Already In: %s \
+ \n Confirmed Out: %s Confirmed In: %s \
+ \n Planned Out Before: %s Confirmed In Before: %s \
+ \n Expected Out: %s Incoming Left: %s \
+ \n Stock Simulation: %s Minimum stock: %s') %(user.login, time.strftime('%Y-%m-%d %H:%M:%S'),
+ obj.period_id.name, obj.warehouse_forecast, obj.planned_outgoing, obj.stock_start, obj.to_procure,
+ obj.already_out, obj.already_in, obj.outgoing, obj.incoming, obj.outgoing_before, obj.incoming_before,
+ obj.outgoing_left, obj.incoming_left, obj.stock_simulation, obj.minimum_op)
}, context=context)
wf_service = netsvc.LocalService("workflow")
- wf_service.trg_validate(uid, 'mrp.procurement', proc_id, 'button_confirm', cr)
+ wf_service.trg_validate(uid, 'procurement.order', proc_id, 'button_confirm', cr)
self.calculate_planning(cr, uid, ids, context)
prev_text = obj.history or ""
self.write(cr, uid, ids, {
- 'history' : prev_text + _('Requisition (') + str(user.login) + ", " + time.strftime('%Y.%m.%d %H:%M) ') + str(obj.incoming_left) + \
- " " + obj.product_uom.name + "\n",
+ 'history': _('%s Requisition (%s, %s) %s %s \n') % (prev_text, user.login, time.strftime('%Y.%m.%d %H:%M'),
+ obj.incoming_left, obj.product_uom.name)
})
+
return True
def internal_supply(self, cr, uid, ids, context, *args):
- for obj in self.browse(cr, uid, ids):
+ for obj in self.browse(cr, uid, ids, context=context):
if obj.incoming_left <= 0:
raise osv.except_osv(_('Error !'), _('Incoming Left must be greater than 0 !'))
if not obj.supply_warehouse_id:
uom_qty, uom, uos_qty, uos = self._qty_to_standard(cr, uid, obj, context)
user = self.pool.get('res.users').browse(cr, uid, uid, context)
picking_id = self.pool.get('stock.picking').create(cr, uid, {
- 'origin': _('MPS(') + str(user.login) +') '+ obj.period_id.name,
- 'type': 'internal',
- 'state': 'auto',
- 'date' : obj.period_id.date_start,
- 'move_type': 'direct',
- 'invoice_state': 'none',
- 'company_id': obj.company_id.id,
- 'note': _("Pick created from MPS by user: ") + str(user.login) + _(" Creation Date: ") + \
- time.strftime('%Y-%m-%d %H:%M:%S') + \
- _("\nFor period: ") + obj.period_id.name + _(" according to state:") + \
- _("\n Warehouse Forecast: ") + str(obj.warehouse_forecast) + \
- _("\n Initial Stock: ") + str(obj.stock_start) + \
- _("\n Planned Out: ") + str(obj.planned_outgoing) + _(" Planned In: ") + str(obj.to_procure) + \
- _("\n Already Out: ") + str(obj.already_out) + _(" Already In: ") + str(obj.already_in) + \
- _("\n Confirmed Out: ") + str(obj.outgoing) + _(" Confirmed In: ") + str(obj.incoming) + \
- _("\n Planned Out Before: ") + str(obj.outgoing_before) + _(" Confirmed In Before: ") + \
- str(obj.incoming_before) + \
- _("\n Expected Out: ") + str(obj.outgoing_left) + _(" Incoming Left: ") + str(obj.incoming_left) + \
- _("\n Stock Simulation: ") + str(obj.stock_simulation) + _(" Minimum stock: ") + str(obj.minimum_op),
+ 'origin': _('MPS(%s) %s') %(user.login, obj.period_id.name),
+ 'type': 'internal',
+ 'state': 'auto',
+ 'date': obj.period_id.date_start,
+ 'move_type': 'direct',
+ 'invoice_state': 'none',
+ 'company_id': obj.company_id.id,
+ 'note': _('Pick created from MPS by user: %s Creation Date: %s \
+ \nFor period: %s according to state: \
+ \n Warehouse Forecast: %s \
+ \n Initial Stock: %s \
+ \n Planned Out: %s Planned In: %s \
+ \n Already Out: %s Already In: %s \
+ \n Confirmed Out: %s Confirmed In: %s \
+ \n Planned Out Before: %s Confirmed In Before: %s \
+ \n Expected Out: %s Incoming Left: %s \
+ \n Stock Simulation: %s Minimum stock: %s ')
+ % (user.login, time.strftime('%Y-%m-%d %H:%M:%S'), obj.period_id.name, obj.warehouse_forecast,
+ obj.stock_start, obj.planned_outgoing, obj.to_procure, obj.already_out, obj.already_in,
+ obj.outgoing, obj.incoming, obj.outgoing_before, obj.incoming_before,
+ obj.outgoing_left, obj.incoming_left, obj.stock_simulation, obj.minimum_op)
})
move_id = self.pool.get('stock.move').create(cr, uid, {
- 'name': _('MPS(') + str(user.login) +') '+ obj.period_id.name,
+ 'name': _('MPS(%s) %s') %(user.login, obj.period_id.name),
'picking_id': picking_id,
'product_id': obj.product_id.id,
- 'date_planned': obj.period_id.date_start,
+ 'date': obj.period_id.date_start,
'product_qty': uom_qty,
'product_uom': uom,
'product_uos_qty': uos_qty,
prev_text = obj.history or ""
pick_name = self.pool.get('stock.picking').browse(cr, uid, picking_id).name
self.write(cr, uid, ids, {
- 'history' : prev_text + _('Pick List ')+ pick_name + " (" + str(user.login) + ", " + time.strftime('%Y.%m.%d %H:%M) ') \
- + str(obj.incoming_left) +" " + obj.product_uom.name + "\n",
+ 'history': _('%s Pick List %s (%s, %s) %s %s \n') % (prev_text, pick_name, user.login, time.strftime('%Y.%m.%d %H:%M'),
+ obj.incoming_left, obj.product_uom.name)
})
return True
-
+
def product_id_change(self, cr, uid, ids, product_id):
- ret={}
+ ret = {}
if product_id:
product_rec = self.pool.get('product.product').browse(cr, uid, product_id)
ret['product_uom'] = product_rec.uom_id.id
projects / odoo / odoo.git / blobdiff