Merge branch '2.0.x' into master

.typo-ci.yml

@@ -119,6 +119,7 @@ excluded_words:
   - mongod
   - mrkdown
   - mrkdwn
+  - myio
   - mymodelname
   - myuser
   - numpy
@@ -149,6 +150,7 @@ excluded_words:
   - sanitization
   - scipy
   - sklearn
+  - socketio
   - spacy
   - spacyfeaturizer
   - spacynlp
@@ -178,6 +180,7 @@ excluded_words:
   - crypto
   - regexes
   - walkthroughs
+  - webexteams
   - venv
   - regexfeaturizer
   - crfentityextractor

changelog/6603.bugfix.md

@@ -0,0 +1 @@
+Fixed a bug in rasa interactive. Now it exports the stories and nlu training data as yml file.

changelog/6803.bugfix.md

@@ -0,0 +1,3 @@
+Fixed the bug that caused `supported_language_list` of `Component` to not work correctly.
+
+To avoid confusion, only one of `supported_language_list` and `not_supported_language_list` can be set to not `None` now

changelog/6929.bugfix.md

@@ -0,0 +1,2 @@
+Check if a model was provided when executing `rasa test core`. 
+If not, print a useful error message and stop.

changelog/6934.removal.md

@@ -0,0 +1,12 @@
+[Conversation sessions](domain.mdx#session-configuration) are now enabled by default
+if your [Domain](domain.mdx) does not contain a session configuration.
+Previously a missing session configuration was treated as if conversation sessions
+were disabled. You can explicitly disable conversation sessions using the following 
+snippet:
+
+```yaml-rasa title="domain.yml"
+session_config:
+  # A session expiration time of `0`
+  # disables conversation sessions
+  session_expiration_time: 0
+```

data/test_config/config_defaults.yml

@@ -1,4 +1,23 @@
 language: en
 pipeline: []
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - name: RegexFeaturizer
+#   - name: LexicalSyntacticFeaturizer
+#   - name: CountVectorsFeaturizer
+#   - name: CountVectorsFeaturizer
+#     analyzer: char_wb
+#     min_ngram: 1
+#     max_ngram: 4
+#   - name: DIETClassifier
+#     epochs: 100
+#   - name: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
 
 data:

data/test_config/config_response_selector_minimal.yml

@@ -0,0 +1,6 @@
+language: en
+pipeline:
+   - name: WhitespaceTokenizer
+   - name: CountVectorsFeaturizer
+   - name: ResponseSelector
+     epochs: 1

data/test_nlu_no_responses/domain_with_only_responses.yml

@@ -0,0 +1,10 @@
+responses:
+  utter_chitchat/ask_name:
+    - image: "https://i.imgur.com/zTvA58i.jpeg"
+      text: hello, my name is retrieval bot.
+    - text: Oh yeah, I am called the retrieval bot.
+
+  utter_chitchat/ask_weather:
+    - text: Oh, it does look sunny right now in Berlin.
+      image: "https://i.imgur.com/vwv7aHN.png"
+    - text: I am not sure of the whole week but I can see the sun is out today.

data/test_nlu_no_responses/nlu_no_responses.yml

@@ -0,0 +1,16 @@
+version: "2.0"
+
+nlu:
+- intent: chitchat/ask_name
+  examples: |
+    - What is your name?
+    - May I know your name?
+    - What do people call you?
+    - Do you have a name for yourself?
+
+- intent: chitchat/ask_weather
+  examples: |
+    - What's the weather like today?
+    - Does it look sunny outside today?
+    - Oh, do you mind checking the weather for me please?
+    - I like sunny days in Berlin.

data/test_trackers/tracker_moodbot_with_new_utterances.json

@@ -0,0 +1,179 @@
+{
+  "latest_message": {
+    "entities": [],
+    "intent": {
+      "confidence": 0.60,
+      "name": "mood_great"
+    },
+    "message_id": null,
+    "metadata": {},
+    "text": "/mood_great",
+    "intent_ranking": [
+      {
+        "confidence": 0.60,
+        "name": "mood_great"
+      },
+      {
+        "confidence": 0.20,
+        "name": "greet"
+      },
+      {
+        "confidence": 0.20,
+        "name": "goodbye"
+      }
+    ]
+  },
+  "sender_id": "mysender",
+  "latest_action": {"action_name": "action_listen"},
+  "latest_action_name": "action_listen",
+  "active_loop": {},
+  "paused": false,
+  "latest_event_time": 1517821726.211042,
+  "followup_action": null,
+  "slots": {"name": null},
+  "latest_input_channel": null,
+  "events": [
+    {
+      "timestamp": 1517821726.211031,
+      "event": "action",
+      "name": "action_listen",
+      "policy": null,
+      "confidence": null
+    },
+    {
+      "timestamp": 1517821726.200036,
+      "metadata": {},
+      "parse_data": {
+        "entities": [],
+        "intent": {
+          "confidence": 0.54,
+          "name": "greet"
+        },
+        "message_id": null,
+        "metadata": {},
+        "text": "/greet",
+        "intent_ranking": [
+          {
+            "confidence": 0.54,
+            "name": "greet"
+          },
+          {
+            "confidence": 0.31,
+            "name": "goodbye"
+          },
+          {
+            "confidence": 0.15,
+            "name": "default"
+          }
+        ]
+      },
+      "event": "user",
+      "text": "/greet",
+      "input_channel": null, "message_id": null, "metadata": {}
+    },
+    {
+      "timestamp": 1517821726.200373,
+      "event": "action",
+      "name": "utter_greet",
+      "policy": null,
+      "confidence": null
+    },
+    {
+      "timestamp": 1517821726.211038,
+      "event": "action",
+      "name": "action_listen",
+      "policy": null,
+      "confidence": null
+    },
+    {
+      "timestamp": 1517821726.209836,
+      "metadata": {},
+      "parse_data": {
+        "entities": [],
+        "intent": {
+          "confidence": 0.60,
+          "name": "mood_great"
+        },
+        "message_id": null,
+        "metadata": {},
+        "text": "/mood_great",
+        "intent_ranking": [
+          {
+            "confidence": 0.60,
+            "name": "mood_great"
+          },
+          {
+            "confidence": 0.20,
+            "name": "greet"
+          },
+          {
+            "confidence": 0.20,
+            "name": "goodbye"
+          }
+        ]
+      },
+      "event": "user",
+      "text": "/mood_great",
+      "input_channel": null, "message_id": null, "metadata": {}
+    },
+    {
+      "timestamp": 1517821726.209908,
+      "event": "action",
+      "name": "utter_happy",
+      "policy": "policy_1_TEDPolicy",
+      "confidence": 0.8
+    },
+    {
+      "timestamp": 1517821726.211042,
+      "event": "action",
+      "name": "action_listen",
+      "policy": "policy_2_MemoizationPolicy",
+      "confidence": 1.0
+    },
+    {
+      "timestamp": 1517821730.209836,
+      "metadata": {},
+      "parse_data": {
+        "entities": [],
+        "intent": {
+          "confidence": 0.60,
+          "name": "mood_great"
+        },
+        "message_id": null,
+        "metadata": {},
+        "text": "my mood is so great!",
+        "intent_ranking": [
+          {
+            "confidence": 0.60,
+            "name": "mood_great"
+          },
+          {
+            "confidence": 0.20,
+            "name": "greet"
+          },
+          {
+            "confidence": 0.20,
+            "name": "goodbye"
+          }
+        ]
+      },
+      "event": "user",
+      "text": "/mood_great",
+      "input_channel": null, "message_id": null, "metadata": {}
+    },
+    {
+      "timestamp": 1517821740.209908,
+      "event": "action",
+      "name": "utter_happy",
+      "policy": "policy_1_TEDPolicy",
+      "confidence": 0.8
+    },
+    {
+      "timestamp": 1517821750.211042,
+      "event": "action",
+      "name": "action_listen",
+      "policy": "policy_2_MemoizationPolicy",
+      "confidence": 1.0
+    }
+  ]
+}

docs/docs/connectors/cisco-webex-teams.mdx

@@ -26,31 +26,28 @@ be used in `room` variable in the `credentials.yml` file.
 Please follow this link below to find the room ID
 `https://developer.webex.com/endpoint-rooms-get.html`
 
-## Running on Cisco Webex
+In the OAuth & Permissions section, add the URL of the Rasa Open Source endpoint
+that Webex should forward the messages to. The endpoint for receiving Cisco Webex Teams messages
+is `http://<host>:<port>/webhooks/webexteams/webhook`, replacing
+the host and port with the appropriate values from your running Rasa X or Rasa Open Source server.
 
-If you want to connect to the `webexteams` input channel using the run
-script, e.g. using:
+## Running on Cisco Webex Teams
 
-```bash
-rasa run
-```
-
-you need to supply a `credentials.yml` with the following content:
+Add the Webex Teams credentials to your `credentials.yml`:
 
 ```yaml-rasa
 webexteams:
   access_token: "YOUR-BOT-ACCESS-TOKEN"
   room: "YOUR-CISCOWEBEXTEAMS-ROOM-ID"
 ```
 
-The endpoint for receiving Cisco Webex Teams messages is
-`http://localhost:5005/webhooks/webexteams/webhook`, replacing
-the host and port with the appropriate values. This is the URL
-you should add in the OAuth & Permissions section.
+
+Restart your Rasa X or Rasa Open Source server
+to make the new channel endpoint available for Cisco Webex Teams to send messages to.
 
 :::note
 If you do not set the `room` keyword
 argument, messages will by delivered back to
 the user who sent them.
 
-:::
+:::

docs/docs/connectors/custom-connectors.mdx

@@ -16,21 +16,22 @@ messaging service can call to deliver messages.
 Your blueprint should have at least the two routes: `health` on `/`,
 and `receive` on the HTTP route `/webhook`.
 
-The `name` method defines the url prefix. E.g. if your component is
-named `myio`, the webhook you can use to attach the external service is:
-`http://localhost:5005/webhooks/myio/webhook` (replacing the hostname
-and port with your values).
+The `name` method defines the url prefix. For example, if your component is
+named `myio`, the webhook you can use to attach the external service is
+`http://<host>:<port>/webhooks/myio/webhook`, replacing 
+the host and port with the appropriate values from your running Rasa X or Rasa Open Source server.
 
-To send a message, you would run a command like:
+You can `POST` messages to your custom connector at the url 
+`http://<host>:<port>/webhooks/myio/webhook` using the following format:
 
-```bash
-curl -XPOST http://localhost:5005/webhooks/myio/webhook \
-  -d '{"sender": "user1", "message": "hello"}' \
-  -H "Content-type: application/json"
+```json
+{
+  "sender": "test_user",  // sender ID of the user sending the message
+  "message": "Hi there!",
+  "metadata": {}  // optional, any extra info you want to add for processing in NLU or custom actions
+}
 ```
 
-where `myio` is the name of your component.
-
 If you need to use extra information from your front end in your custom
 actions, you can add this information in the `metadata` dict of your user
 message. This information will accompany the user message through the rasa
@@ -40,10 +41,8 @@ or action prediction. If you want to change the way metadata is extracted for an
 existing channel, you can overwrite the function `get_metadata`. The return value
 of this method will be passed to the `UserMessage`.
 
-Here are all the attributes of `UserMessage`:
-
-- SKIPPED CLASS DOCUMENTATION -In your implementation of the `receive` endpoint, you need to make
-sure to call `on_new_message(UserMessage(text, output, sender_id))`.
+In your implementation of the `receive` endpoint, you will need
+to call `on_new_message(UserMessage(text, output, sender_id))`.
 This will tell Rasa Core to handle this user message. The `output`
 is an output channel implementing the `OutputChannel` class. You can
 either implement the methods for your particular chat channel (e.g. there