fix component lookup

CHANGELOG.rst

@@ -11,19 +11,20 @@ This project adheres to `Semantic Versioning`_ starting with version 1.0.
 
 Added
 -----
-- `FallbackPolicy` can now be configured to trigger when the difference between confidences of two predicted intents is too narrow
+- `FallbackPolicy` can now be configured to trigger when the difference between
+   confidences of two predicted intents is too narrow
 - throw error during training when triggers are defined in the domain without
   ``MappingPolicy`` being present in the policy ensemble
-- The tracker is now avaialble within the interpreter's ``parse`` method, giving the ability to create interpreter classes that use the tracker state (eg. slot values) during the parsing of the message. More details on motivation of this change see issues/3015
+- The tracker is now available within the interpreter's ``parse`` method, giving the
+  ability to create interpreter classes that use the tracker state (eg. slot values)
+  during the parsing of the message. More details on motivation of this change see
+  issues/3015
 
 Changed
 -------
 - added character-level ``CountVectorsFeaturizer`` with empirically found parameters 
   into the ``supervised_embeddings`` NLU pipeline template
 - bot messages contain the `timestamp` of the `BotUttered` event, which can be used in channels
-
-Changed
--------
 - NLU evaluations now also stores its output in the output directory like the core evaluation
 
 Removed

rasa/nlu/registry.py

@@ -117,23 +117,17 @@
         {"name": "CountVectorsFeaturizer"},
         {
             "name": "CountVectorsFeaturizer",
-            "config": {"analyzer": "char_wb", "min_ngram": 1, "max_ngram": 4},
+            "analyzer": "char_wb",
+            "min_ngram": 1,
+            "max_ngram": 4,
         },
         {"name": "EmbeddingIntentClassifier"},
     ],
 }
 
 
 def pipeline_template(s: Text) -> Optional[List[Dict[Text, Any]]]:
-    components = registered_pipeline_templates.get(s)
-
-    if components:
-        # converts the list of components in the configuration
-        # format expected (one json object per component)
-        return [{"name": c.get("name"), **c.get("config", {})} for c in components]
-
-    else:
-        return None
+    return registered_pipeline_templates.get(s)
 
 
 def get_component_class(component_name: Text) -> Type["Component"]:

tests/nlu/base/test_config.py

@@ -1,4 +1,6 @@
+import json
 import tempfile
+from typing import Text
 
 import pytest
 
@@ -40,13 +42,18 @@ def test_invalid_pipeline_template():
     assert "unknown pipeline template" in str(execinfo.value)
 
 
-def test_pipeline_looksup_registry():
-    pipeline_template = list(registered_pipeline_templates)[0]
+@pytest.mark.parametrize(
+    "pipeline_template", list(registered_pipeline_templates.keys())
+)
+def test_pipeline_looksup_registry(pipeline_template: Text):
     args = {"pipeline": pipeline_template}
     f = write_file_config(args)
     final_config = config.load(f.name)
     components = [c for c in final_config.pipeline]
-    assert components == registered_pipeline_templates[pipeline_template]
+
+    assert json.dumps(components, sort_keys=True) == json.dumps(
+        registered_pipeline_templates[pipeline_template], sort_keys=True
+    )
 
 
 def test_default_config_file():