Copy dates rather than patching deltas, because floating points are not so...

Copy dates rather than patching deltas, because floating points are not so reliable for milliseconds. This should be probably applied to CopyToTarget as well.

git-svn-id: https://svn.erp5.org/repos/public/erp5/trunk@15615 20353a03-c40f-0410-a6d1-a30d3c3de9de

product/ERP5/TargetSolver/ResourceBackpropagation.py

@@ -51,16 +51,16 @@ class ResourceBackpropagation(CopyToTarget):
     quantity_ratio = 0
     if old_quantity not in (None,0.0): # XXX: What if quantity happens to be an integer ?
       quantity_ratio = new_quantity / old_quantity
-    start_date_delta = 0
-    stop_date_delta = 0
+    start_date = None
+    stop_date = None
     if new_start_date is not None and old_start_date is not None:
-      start_date_delta = new_start_date - old_start_date
+      start_date = new_start_date
     if new_stop_date is not None and old_stop_date is not None:
-      stop_date_delta = new_stop_date - old_stop_date
+      stop_date = new_stop_date
     return {
       'quantity_ratio': quantity_ratio,
-      'start_date_delta': start_date_delta,
-      'stop_date_delta': stop_date_delta,
+      'start_date': start_date,
+      'stop_date': stop_date,
       'resource_list' :
           simulation_movement.getDeliveryValue().getResourceList(),
       'variation_category_list':
@@ -70,7 +70,7 @@ class ResourceBackpropagation(CopyToTarget):
     }
 
   def _generateValueDict(self, simulation_movement, quantity_ratio=1, 
-                         start_date_delta=0, stop_date_delta=0,
+                         start_date=None, stop_date=None,
                          resource_list=[],
                          variation_category_list=[],
                          variation_property_dict={},
@@ -80,12 +80,10 @@ class ResourceBackpropagation(CopyToTarget):
     """
     value_dict = {}
     # Modify quantity, start_date, stop_date
-    start_date = simulation_movement.getStartDate()
     if start_date is not None:
-      value_dict['start_date'] = start_date + start_date_delta
-    stop_date = simulation_movement.getStopDate()
+      value_dict['start_date'] = start_date
     if stop_date is not None:
-      value_dict['stop_date'] = stop_date + stop_date_delta
+      value_dict['stop_date'] = stop_date
     value_dict['quantity'] = simulation_movement.getQuantity() * quantity_ratio
     if resource_list:
       value_dict['resource_list'] = resource_list