ENG-424: initial port of moodbot to flows / command pattern

docs/docs/start-here.mdx

@@ -15,7 +15,7 @@ controllability of intent-based approaches.
 
 ### Command Line Interface Basics
 
-Once you have installed Rasa, you can run the `init` command to create a starter project:
+Once you have instalgled Rasa, you can run the `init` command to create a starter project:
 
 ```bash
 rasa init --dm2
@@ -62,7 +62,7 @@ for their preferred cuisine, city, and price range.
 To try it out, start a conversation using `rasa shell`, and say something like "I'm looking for a restaurant". 
 
 Out of the box, this assistant can already handle a variety of conversations. The first is what we call the "happy path",
-where the user provides all the important when it's requested. 
+where the user always provides the information the assistant requests.
 But if users change their mind, answer indirectly, or interject with questions, this assistant can handle those cases as well.
 Try out some of these conversations yourself to get a feel for things.
 If you want your assistant to sound a bit more natural, you can activate [contextual rephrasing](./llms/llm-nlg.mdx) of responses.
@@ -184,8 +184,7 @@ The *conversation handling* approach requires much less work to set up, since yo
 intents and entities and slot mappings. It is also more powerful because it allows us to 
 [break free from intents](https://rasa.com/blog/its-about-time-we-get-rid-of-intents/).
 
-For example, if the user's response requires context to be understood correctly and is a challenge for 
-intent-based systems:
+For example, intent-based approaches struggle when context is required to understand what the user means:
 
 <Chat caption="pragmatic understanding">
 <ChatBotText>Has it been more than 10 business days since you placed your order?</ChatBotText>

rasa/cdu/command_generator/llm_command_generator.py

@@ -21,8 +21,8 @@
 from rasa.shared.core.constants import (
     MAPPING_TYPE,
     SlotMappingType,
     MAPPING_CONDITIONS,
     ACTIVE_LOOP,
 )
 from rasa.shared.core.flows.flow import FlowsList, QuestionFlowStep
 from rasa.shared.core.trackers import DialogueStateTracker
@@ -246,15 +246,14 @@
             return False
 
         for mapping in slot.mappings:
-            if mapping.get(MAPPING_TYPE) == str(SlotMappingType.FROM_ENTITY):
-                conditions = mapping.get(MAPPING_CONDITIONS, [])
-                if len(conditions) == 0:
-                    return True
-                else:
-                    for condition in conditions:
-                        active_loop = condition.get(ACTIVE_LOOP)
-                        if active_loop and active_loop == tracker.active_loop_name:
-                            return True
+            conditions = mapping.get(MAPPING_CONDITIONS, [])
+            if len(conditions) == 0:
+                return True
+            else:
+                for condition in conditions:
+                    active_loop = condition.get(ACTIVE_LOOP)
+                    if active_loop and active_loop == tracker.active_loop_name:
+                        return True
         return False
 
     def render_template(

rasa/cli/initial_project_dm2/data/flows.yml

@@ -35,10 +35,12 @@ flows:
         next: "1"
       - id: "1"
         question: price_range
+        skip_if_filled: true        
         next: "2"
       - id: "2"
-        question: part_of_town
+        question: city
+        skip_if_filled: true        
         next: "3"
       - id: "3"
-        action: search_restaurants
+        action: utter_recommend_restaurant
 

rasa/cli/initial_project_dm2/domain.yml

@@ -13,7 +13,7 @@ slots:
     type: text
     mappings:
     - type: custom
-  part_of_town:
+  city:
     type: text
     mappings:
     - type: custom
@@ -32,8 +32,11 @@ responses:
   utter_ask_price_range:
   - text: "in what price range?"
 
-  utter_ask_part_of_town:
-  - text: "and in which part of town?"
+  utter_ask_city:
+  - text: "and in which city?"
+
+  utter_recommend_restaurant:
+  - text: "Here's a recommendation ..."
 
   utter_cheer_up:
   - text: "Here is something to cheer you up:"
@@ -55,8 +58,6 @@ responses:
   utter_iamabot:
   - text: "I am a bot, powered by Rasa."
 
-actions:
-  - search_restaurants
 
 session_config:
   session_expiration_time: 60

rasa/cli/initial_project_dm2/e2e_tests/complete_request.yml

@@ -0,0 +1,5 @@
+test_cases:
+  - test_case: user corrects recipient in the next message
+    steps:
+      - user: I'm looking for a cheap Chinese restaurant in Amsterdam
+      - utter: utter_recommend_restaurant

rasa/cli/initial_project_dm2/e2e_tests/happy.yml

@@ -0,0 +1,11 @@
+test_cases:
+  - test_case: user corrects recipient in the next message
+    steps:
+      - user: Please recommend a restaurant
+      - utter: utter_ask_cuisine
+      - user: Indian food
+      - utter: utter_ask_price_range
+      - user: cheap
+      - utter: utter_ask_city
+      - user: Berlin
+      - utter: utter_recommend_restaurant