Bypass NLU pipeline when message is /intent or /intent + entities - […

…ENG 286] (#12480)

* Bypass NLU pipeline when a message is /intent or /intent + entities

changelog/12480.improvement.md

@@ -0,0 +1 @@
+Skip executing the pipeline when the user message is of the form /intent or /intent + entities.

rasa/core/processor.py

@@ -61,13 +61,17 @@
 import rasa.core.actions.action
 import rasa.shared.core.trackers
 from rasa.shared.core.trackers import DialogueStateTracker, EventVerbosity
+from rasa.shared.core.training_data.story_reader.yaml_story_reader import (
+    YAMLStoryReader,
+)
 from rasa.shared.nlu.constants import (
     ENTITIES,
     INTENT,
     INTENT_NAME_KEY,
     PREDICTED_CONFIDENCE_KEY,
     TEXT,
 )
+from rasa.shared.nlu.training_data.message import Message
 from rasa.utils.endpoints import EndpointConfig
 
 logger = logging.getLogger(__name__)
@@ -712,11 +716,25 @@ async def parse_message(
         if self.http_interpreter:
             parse_data = await self.http_interpreter.parse(message)
         else:
-            if tracker is None:
-                tracker = DialogueStateTracker.from_events(message.sender_id, [])
-            parse_data = self._parse_message_with_graph(
-                message, tracker, only_output_properties
+            msg = YAMLStoryReader.unpack_regex_message(
+                message=Message({TEXT: message.text})
             )
+            # Intent is not explicitly present. Pass message to graph.
+            if msg.data.get(INTENT) is None:
+                if tracker is None:
+                    tracker = DialogueStateTracker.from_events(message.sender_id, [])
+                parse_data = self._parse_message_with_graph(
+                    message, tracker, only_output_properties
+                )
+            else:
+                parse_data = {
+                    TEXT: "",
+                    INTENT: {INTENT_NAME_KEY: None, PREDICTED_CONFIDENCE_KEY: 0.0},
+                    ENTITIES: [],
+                }
+                parse_data.update(
+                    msg.as_dict(only_output_properties=only_output_properties)
+                )
 
         structlogger.debug(
             "processor.message.parse",

tests/core/test_agent.py

@@ -98,11 +98,19 @@ async def test_agent_train(default_agent: Agent):
                         "start": 6,
                         "end": 21,
                         "value": "Rasa",
-                        "extractor": "RegexMessageHandler",
                     }
                 ],
             },
-        )
+        ),
+        (
+            "hi hello",
+            {
+                "text": "hi hello",
+                "intent": {"name": "greet", "confidence": 1.0},
+                "text_tokens": [(0, 2), (3, 8)],
+                "entities": [],
+            },
+        ),
     ],
 )
 async def test_agent_parse_message(

tests/core/test_processor.py

@@ -18,6 +18,7 @@
 from _pytest.logging import LogCaptureFixture
 from aioresponses import aioresponses
 from typing import Optional, Text, List, Callable, Type, Any
+from unittest import mock
 
 from rasa.core.lock_store import InMemoryLockStore
 from rasa.core.policies.ensemble import DefaultPolicyPredictionEnsemble
@@ -113,10 +114,26 @@ async def test_message_id_logging(default_processor: MessageProcessor):
 
 
 async def test_parsing(default_processor: MessageProcessor):
-    message = UserMessage('/greet{"name": "boy"}')
-    parsed = await default_processor.parse_message(message)
-    assert parsed["intent"][INTENT_NAME_KEY] == "greet"
-    assert parsed["entities"][0]["entity"] == "name"
+    with mock.patch(
+        "rasa.core.processor.MessageProcessor._parse_message_with_graph"
+    ) as mocked_function:
+        # Case1: message has intent and entities explicitly set.
+        message = UserMessage('/greet{"name": "boy"}')
+        parsed = await default_processor.parse_message(message)
+        assert parsed["intent"][INTENT_NAME_KEY] == "greet"
+        assert parsed["entities"][0]["entity"] == "name"
+        mocked_function.assert_not_called()
+
+        # Case2: Normal user message.
+        parse_data = {
+            "text": "mocked",
+            "intent": {"name": None, "confidence": 0.0},
+            "entities": [],
+        }
+        mocked_function.return_value = parse_data
+        message = UserMessage("hi hello how are you?")
+        parsed = await default_processor.parse_message(message)
+        mocked_function.assert_called()
 
 
 async def test_check_for_unseen_feature(default_processor: MessageProcessor):
@@ -874,7 +891,7 @@ async def test_handle_message_with_session_start(
     # make sure the sequence of events is as expected
     with_model_ids_expected = with_model_ids(
         [
-            ActionExecuted(ACTION_SESSION_START_NAME),
+            ActionExecuted(ACTION_SESSION_START_NAME, confidence=1.0),
             SessionStarted(),
             ActionExecuted(ACTION_LISTEN_NAME),
             UserUttered(
@@ -886,15 +903,18 @@ async def test_handle_message_with_session_start(
                         "start": 6,
                         "end": 22,
                         "value": "Core",
-                        "extractor": "RegexMessageHandler",
                     }
                 ],
             ),
             SlotSet(entity, slot_1[entity]),
             DefinePrevUserUtteredFeaturization(False),
-            ActionExecuted("utter_greet"),
-            BotUttered("hey there Core!", metadata={"utter_action": "utter_greet"}),
-            ActionExecuted(ACTION_LISTEN_NAME),
+            ActionExecuted(
+                "utter_greet", policy="AugmentedMemoizationPolicy", confidence=1.0
+            ),
+            BotUttered(
+                "hey there Core!", data={}, metadata={"utter_action": "utter_greet"}
+            ),
+            ActionExecuted(ACTION_LISTEN_NAME, confidence=1.0),
             ActionExecuted(ACTION_SESSION_START_NAME),
             SessionStarted(),
             # the initial SlotSet is reapplied after the SessionStarted sequence
@@ -909,15 +929,17 @@ async def test_handle_message_with_session_start(
                         "start": 6,
                         "end": 42,
                         "value": "post-session start hello",
-                        "extractor": "RegexMessageHandler",
                     }
                 ],
             ),
             SlotSet(entity, slot_2[entity]),
             DefinePrevUserUtteredFeaturization(False),
-            ActionExecuted("utter_greet"),
+            ActionExecuted(
+                "utter_greet", policy="AugmentedMemoizationPolicy", confidence=1.0
+            ),
             BotUttered(
                 "hey there post-session start hello!",
+                data={},
                 metadata={"utter_action": "utter_greet"},
             ),
             ActionExecuted(ACTION_LISTEN_NAME),