Fix ConfiguredMCTruthAndBkgCatAlg correctly propagating RootInTES

Fixes #32 (closed).

While at it I added an argument output_level to be able to debug the whole thing easily.

Phys/DaVinci/python/DaVinci/truth_matching.py

@@ -9,48 +9,82 @@
 # or submit itself to any jurisdiction.                                       #
 ###############################################################################
 
+from Gaudi.Configuration import INFO
+
+from PyConf.Algorithms import MCTruthAndBkgCatAlg
+from PyConf.Tools import DaVinciSmartAssociator, MCMatchObjP2MCRelator, ParticleDescendants
+from PyConf.Tools import BackgroundCategory, BackgroundCategoryViaRelations
+from PyConf.Tools import P2MCPFromProtoP
+
 
 def ConfiguredMCTruthAndBkgCatAlg(
         inputs,
         relations_locs=["Relations/ChargedPP2MCP", "Relations/NeutralPP2MCP"],
+        root_in_tes="/Event/HLT2",
         redo_neutral_assoc=False,
-        root_in_tes="/Event/HLT2"):
+        output_level=INFO):
     """
-    Function that configures the tools related to the `MCTruthAndBkgCatAlg` algorithm for HLT2 output
-    (configuration for Sprucing output is the same if the correct "`relations_locs` and `root_in_tes` are set).
+    Function to help configure the tools instantiated by the `MCTruthAndBkgCatAlg` algorithm.
+
+    The tools configured are `DaVinciSmartAssociator`, `MCMatchObjP2MCRelator`,
+    `BackgroundCategory`, `BackgroundCategoryViaRelations` and `P2MCPFromProtoP`.
 
-    The tools configured are DaVinciSmartAssociator, P2MCPFromProtoP, MCMatchObjP2MCRelator, BackgroundCategory.
-    The output of this algorithm is two relation tables: one for MC association (P->MCP) and one for background category (P->BKGCAT).
-    The MC association table can be used as input to MAP_INPUT functor and the background category table serves as input for BKGCAT functor.
+    The configuration for Sprucing output is the same as for HLT2 output
+    provided the correct `relations_locs` and `root_in_tes` arguments are set.
+
+    The output of this algorithm is two relation tables:
+    one for MC association (P->MCP) and one for background category (P->BKGCAT).
+    The MC association table can be used as input to the `MAP_INPUT` functor
+    and the background category table serves as input for `BKGCAT` functor.
 
     Args:
         inputs (DataHandle): Output of `Gaudi::Hive::FetchDataFromFile` (the input TES location to the particles).
         relations_locs (list, optional): TES locations to the pre-existing relations for charged and neutral particles.
             Defaults to ["Relations/ChargedPP2MCP", "Relations/NeutralPP2MCP"].
+        root_in_tes (str, optional): RootInTES location that can be different for Sprucing output. Defaults to "/Event/HLT2".
         redo_neutral_assoc (bool, optional): Whether or not to redo MC association of pure neutral calorimetric basic particle,
             i.e. gamma and pi0-merged with pi0-resolved treated as composite.
             Defaults to False.
-        root_in_tes (str, optional): RootInTES location that can be different for sprucing output. Defaults to "/Event/HLT2".
+        output_level (int, optional): the standard `OutputLevel` from `Gaudi.Configuration`
+            to set for all instantiated algorithms and tools. Defaults to `output_level=INFO=3`.
 
     Returns:
         MCTruthAndBkgCatAlg: configured instance of algorithm MCTruthAndBkgCatAlg.
     """
-    from PyConf.Algorithms import MCTruthAndBkgCatAlg
-    from PyConf.Tools import DaVinciSmartAssociator, P2MCPFromProtoP, MCMatchObjP2MCRelator, BackgroundCategory
+    # Tool used by DaVinciSmartAssociator
+    p2mctool = P2MCPFromProtoP(
+        Locations=relations_locs,
+        RootInTES=root_in_tes,
+        OutputLevel=output_level)
 
-    p2mctool = P2MCPFromProtoP(Locations=relations_locs)
+    # Tools used by MCTruthAndBkgCatAlg
     bkg_cat = BackgroundCategory(
-        P2MCTool=p2mctool, vetoNeutralRedo=not redo_neutral_assoc)
+        P2MCTool=p2mctool,
+        vetoNeutralRedo=not redo_neutral_assoc,
+        RootInTES=root_in_tes,
+        OutputLevel=output_level)
+    bkg_cat_via_rel = BackgroundCategoryViaRelations(
+        RootInTES=root_in_tes, OutputLevel=output_level)
     dv_assc = DaVinciSmartAssociator(
         P2MCTool=p2mctool,
         RedoNeutral=redo_neutral_assoc,
         RootInTES=root_in_tes,
-        BackgroundCategoryTool=bkg_cat)
-    mcrel_assc = MCMatchObjP2MCRelator(RelTableLocations=relations_locs)
+        BackgroundCategoryTool=bkg_cat,
+        OutputLevel=output_level)
+    mcrel_assc = MCMatchObjP2MCRelator(
+        RelTableLocations=relations_locs,
+        RootInTES=root_in_tes,
+        OutputLevel=output_level)
+    part_desc = ParticleDescendants(
+        RootInTES=root_in_tes, OutputLevel=output_level)
+
     mctruth = MCTruthAndBkgCatAlg(
         Input=inputs,
         DaVinciSmartAssociator=dv_assc,
         MCMatchObjP2MCRelator=mcrel_assc,
-        BackgroundCategory=bkg_cat)
+        BackgroundCategory=bkg_cat,
+        BackgroundCategoryViaRelations=bkg_cat_via_rel,
+        ParticleDescendants=part_desc,
+        OutputLevel=output_level)
 
     return mctruth