Support streaming case with new framework

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/DataAnalysis_executeDataOperation.py

 operation = None
+use = None
 parameter_dict = {}
+initial_product = context.getSpecialiseValue().getResourceValue()
 for analysis_line in context.objectValues(portal_type="Data Analysis Line"):
   resource = analysis_line.getResourceValue()
+  if resource == initial_product():
+    use = analysis_line.getUse()
   if resource is not None:
     resource_portal_type = resource.getPortalType()
   else:
@@ -11,10 +15,13 @@ for analysis_line in context.objectValues(portal_type="Data Analysis Line"):
     operation = analysis_line.getResourceValue()
   else:
     reference = analysis_line.getReference()
-    aggregate = analysis_line.getAggregateDataStreamValue() or \
+    aggregate = analysis_line.getAggregateDataSinkValue() or \
                 analysis_line.getAggregateDataArrayValue() or \
                 analysis_line.getAggregateDataDescriptorValue()
     parameter_dict[reference] = aggregate
 script_id = operation.getScriptId()
 getattr(operation_analysis_line, script_id)(**parameter_dict)
-context.stop()
+
+# only stop batch ingestions
+if use == "big_data/ingestion/batch":
+  context.stop()

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/DataAnalysis_view.xml

@@ -82,6 +82,7 @@
                     <value>
                       <list>
                         <string>my_title</string>
+                        <string>my_reference</string>
                         <string>my_specialise_title</string>
                         <string>my_causality_title</string>
                       </list>

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/DataAnalysis_view/my_reference.xml

+<?xml version="1.0"?>
+<ZopeData>
+  <record id="1" aka="AAAAAAAAAAE=">
+    <pickle>
+      <global name="ProxyField" module="Products.ERP5Form.ProxyField"/>
+    </pickle>
+    <pickle>
+      <dictionary>
+        <item>
+            <key> <string>delegated_list</string> </key>
+            <value>
+              <list/>
+            </value>
+        </item>
+        <item>
+            <key> <string>id</string> </key>
+            <value> <string>my_reference</string> </value>
+        </item>
+        <item>
+            <key> <string>message_values</string> </key>
+            <value>
+              <dictionary>
+                <item>
+                    <key> <string>external_validator_failed</string> </key>
+                    <value> <string>The input failed the external validator.</string> </value>
+                </item>
+              </dictionary>
+            </value>
+        </item>
+        <item>
+            <key> <string>overrides</string> </key>
+            <value>
+              <dictionary>
+                <item>
+                    <key> <string>field_id</string> </key>
+                    <value> <string></string> </value>
+                </item>
+                <item>
+                    <key> <string>form_id</string> </key>
+                    <value> <string></string> </value>
+                </item>
+                <item>
+                    <key> <string>target</string> </key>
+                    <value> <string></string> </value>
+                </item>
+              </dictionary>
+            </value>
+        </item>
+        <item>
+            <key> <string>tales</string> </key>
+            <value>
+              <dictionary>
+                <item>
+                    <key> <string>field_id</string> </key>
+                    <value> <string></string> </value>
+                </item>
+                <item>
+                    <key> <string>form_id</string> </key>
+                    <value> <string></string> </value>
+                </item>
+                <item>
+                    <key> <string>target</string> </key>
+                    <value> <string></string> </value>
+                </item>
+              </dictionary>
+            </value>
+        </item>
+        <item>
+            <key> <string>values</string> </key>
+            <value>
+              <dictionary>
+                <item>
+                    <key> <string>field_id</string> </key>
+                    <value> <string>my_view_mode_reference</string> </value>
+                </item>
+                <item>
+                    <key> <string>form_id</string> </key>
+                    <value> <string>Base_viewDMSFieldLibrary</string> </value>
+                </item>
+                <item>
+                    <key> <string>target</string> </key>
+                    <value> <string>Click to edit the target</string> </value>
+                </item>
+              </dictionary>
+            </value>
+        </item>
+      </dictionary>
+    </pickle>
+  </record>
+</ZopeData>

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/ERP5Site_createDataAnalysisList.py

 from DateTime import DateTime
+from Products.ZSQLCatalog.SQLCatalog import AndQuery, OrQuery, Query, SimpleQuery
+
 portal = context.getPortalObject()
 portal_catalog = portal.portal_catalog
 
 now = DateTime()
 
-query_dict = {
-  "portal_type": "Data Ingestion Line",
-  "stock.quantity": '!=0',
-  "resource_portal_type": "Data Product",
-  "simulation_state": "stopped"}
+query = AndQuery(
+          Query(portal_type = "Data Ingestion Line"),
+          Query(**{"stock.quantity": "!=0"}),
+          Query(resource_portal_type = "Data Product"),
+          # Should be improved to support mor than one analysis per ingestion
+          SimpleQuery(causality_related_relative_url = None),
+          OrQuery(
+            Query(simulation_state = "stopped",
+                  use_relative_url = "use/big_data/ingestion/batch"),
+            Query(simulation_state = "started",
+                  use_relative_url = "use/big_data/ingestion/stream")))
 
-for movement in portal_catalog(**query_dict):
-  batch_relative_url = movement.getAggregateDataIngestionBatch()
-  if batch_relative_url is None:
+for movement in portal_catalog(query):
+  if movement.DataIngestionLine_hasMissingRequiredItem():
     raise ValueError("Transformation requires movement to have " +
                      "aggregated data ingestion batch")
   data_ingestion = movement.getParentValue()
@@ -58,12 +65,20 @@ for movement in portal_catalog(**query_dict):
           # ingestion line with the same resource. If it is an operation line
           # then we search for an ingestion line with resource portal type
           # Data Product
+          batch_relative_url = movement.getAggregateDataIngestionBatch()
+          if batch_relative_url is not None:
             related_movement_list = portal_catalog(
               portal_type="Data Ingestion Line",
               aggregate_relative_url=batch_relative_url,
               resource_relative_url = resource.getRelativeUrl())
+          else:
+            # get related movements only from current data ingestion
+            related_movement_list = movement.getParentValue().searchFolder(
+              portal_type="Data Ingestion Line",
+              resource_relative_url = resource.getRelativeUrl())
           for related_movement in related_movement_list:
             aggregate_set.update(related_movement.getAggregateSet())
+            if related_movement.getUse() == "big_data/ingestion/batch":
               related_movement.getParentValue().deliver()
         else:
           # it is an output line
@@ -76,7 +91,7 @@ for movement in portal_catalog(**query_dict):
                                                  data_ingestion.getReference()),
                             version = '001')
           item.validate()
-          aggregate_set.add(item)
+          aggregate_set.add(item.getRelativeUrl())
 
       data_analysis.newContent(
         portal_type = "Data Analysis Line",
@@ -84,8 +99,9 @@ for movement in portal_catalog(**query_dict):
         reference = transformation_line.getReference(),
         int_index = transformation_line.getIntIndex(),
         resource_value = resource,
+        variation_category_list = transformation_line.getVariationCategoryList(),
         quantity = quantity,
         quantity_unit = transformation_line.getQuantityUnit(),
-        aggregate_value_set = aggregate_set)
+        aggregate_set = aggregate_set)
         
-    data_analysis.plan()
+    data_analysis.start()

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/ERP5Site_executeDataAnalysisList.py

@@ -2,7 +2,6 @@ portal = context.getPortalObject()
 portal_catalog = portal.portal_catalog
 
 for data_analysis in portal_catalog(portal_type = "Data Analysis",
-                                    simulation_state = "planned"):
-  data_analysis.start()
+                                    simulation_state = "started"):
   data_analysis.activate(serialization_tag=str(data_analysis.getUid()))\
     .DataAnalysis_executeDataOperation()

bt5/erp5_wendelin/SkinTemplateItem/portal_skins/erp5_wendelin/ERP5Site_stopIngestionList.py

@@ -5,11 +5,14 @@ from Products.ZSQLCatalog.SQLCatalog import Query, SimpleQuery
 portal_catalog = context.getPortalObject().portal_catalog
 
 # search for dates older than one minute ago
+# Only stop data ingestion of related resource is configured for batch
+# ingestion
 old_start_date = addToDate(DateTime(), {'minute' : -1})
 start_date_query = Query(**{'delivery.start_date': old_start_date, 'range': 'ngt'})
 kw_dict = {"query": start_date_query,
            "portal_type": "Data Ingestion",
-           "simulation_state": "started"}
+           "simulation_state": "started",
+           "use_relative_url": "use/big_data/ingestion/batch"}
 
 parent_uid_list = [x.getUid() for x in portal_catalog(**kw_dict)]
 
@@ -53,10 +56,5 @@ if len(parent_uid_list) != 0:
         # TODO: this should be implemented in transformation, not here
         continue
     
-    # Only stop data ingestion of related resource is configured for batch
-    # ingestion
-    # TODO: probably this should be done in another way
-    resource = data_ingestion_line.getResourceValue()
-    if "big_data/ingestion/batch_ingestion" in resource.getUseList():
     data_ingestion.setStopDate(DateTime())
     data_ingestion.stop()