Add a new Target Solver which does not backpropagate changes to the upstream...

Add a new Target Solver which does not backpropagate changes to the upstream or does not do any fancy thing, i.e. just copies changes to simulation locally and propagate them to the downstream only by expanding the simulation. The behavior of this Target Solver should be taken as the most standard way.

git-svn-id: https://svn.erp5.org/repos/public/erp5/trunk@35365 20353a03-c40f-0410-a6d1-a30d3c3de9de

product/ERP5/TargetSolver/Copy.py

+##############################################################################
+#
+# Copyright (c) 2008,2010 Nexedi SA and Contributors. All Rights Reserved.
+#
+# WARNING: This program as such is intended to be used by professional
+# programmers who take the whole responsibility of assessing all potential
+# consequences resulting from its eventual inadequacies and bugs
+# End users who are looking for a ready-to-use solution with commercial
+# guarantees and support are strongly adviced to contract a Free Software
+# Service Company
+#
+# 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 2
+# 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.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program; if not, write to the Free Software
+# Foundation, Inc., 51 Franklin Street - Fifth Floor, Boston, MA 02110-1301, USA.
+##############################################################################
+
+from TargetSolver import TargetSolver
+
+class Copy(TargetSolver):
+  """
+  This solver will copy properties and calculate quantities for
+  specified divergence list.
+  """
+  def solveMovement(self, movement):
+    """
+      Solves a movement.
+    """
+    movement_relative_url = movement.getRelativeUrl()
+    for divergence in self.divergence_list:
+      if movement_relative_url == divergence.getProperty(
+          'object_relative_url'):
+        self._acceptDecision(divergence)
+
+  def _acceptDecision(self, divergence):
+    """
+    Accept decision according to movement group
+    """
+    scope = divergence.getProperty('divergence_scope')
+    simulation_movement = divergence.getProperty('simulation_movement')
+    delivery = simulation_movement.getDeliveryValue()
+    value_dict = {}
+    quantity_ratio = None
+    if scope == 'quantity':
+      property_id = 'quantity'
+      delivery_quantity = delivery.getQuantity()
+      delivery_ratio = simulation_movement.getDeliveryRatio(0.0)
+      old_quantity = simulation_movement.getQuantity(0.0)
+      new_quantity = delivery_quantity * delivery_ratio
+      quantity_ratio = 0
+      if old_quantity != 0.0:
+        quantity_ratio = new_quantity / old_quantity
+      quantity = old_quantity * quantity_ratio
+      quantity_error = delivery_quantity * delivery_ratio - quantity
+      value_dict['delivery_error'] = quantity_error
+      value_dict['quantity'] = quantity
+    elif scope == 'category':
+      property_id = divergence.getProperty('tested_property')
+      new_value_list = delivery.getPropertyList(property_id)
+      # variation_category should be edited as variation_category_list
+      if property_id == 'variation_category':
+        property_id = 'variation_category_list'
+      value_dict[property_id] = new_value_list
+    else: # otherwise we assume that scope is 'property'
+      property_id = divergence.getProperty('tested_property')
+      new_value = delivery.getProperty(property_id)
+      value_dict[property_id] = new_value
+
+    if not simulation_movement.isPropertyRecorded(property_id):
+      simulation_movement.recordProperty(property_id)
+    simulation_movement.edit(**value_dict)
+
+    # XXX can we use activity for further expand?
+    simulation_movement.expand()