Added initial version of scenario for knowledge gaps

features/gamification.feature

@@ -1 +1,8 @@
-# 5. Gamification (cross-concern). Asking questions rewarded with seeker points. When you question was unanswered you get revealer points during knowledge gap discovery. Luminary points are given to those who answer knowledge gap questions
+# 5. Gamification (cross-concern).
+# Asking questions rewarded with seeker points.
+# When you question was unanswered you get revealer points during knowledge gap discovery.
+# Luminary points are given to those who answer knowledge gap questions
+
+Feature: Gamification
+
+  Scenario:

features/knowledge_gaps.feature

@@ -1 +1,38 @@
-# 4. Identify knowledge gaps. Use CLI -> initiate the process by selecting a topic -> it then uses embeddings and OpenAI to select unanswered questions about that topic -> unanswered questions are posted to specific slack channel -> users can answer them in threads -> bookmarked conversations are uploaded to Confluence (dedicated space).
+# 4. Identify knowledge gaps.
+# Use CLI -> initiate the process by selecting a topic ->
+# it then uses embeddings and OpenAI to select unanswered questions about that topic ->
+# unanswered questions are posted to specific slack channel -> users can answer them in threads ->
+# bookmarked conversations are uploaded to Confluence (dedicated space).
+
+# Ask NOT DX question ("What power superman has?").
+# Wait for answer in thread.
+# TA should answer that it has no context about it.
+# Check qa_interactions table about this question exists.
+
+# Go to MAIN console menu:
+
+# press 3 (Create a vector db for interactions)
+# check that all rows in qa_interactions table have last_embeded and embed filled in.
+
+# Go to MAIN console menu:
+
+# press 5 (Identify knowledge gaps)
+# enter "superman"
+# TA should post a message in topassist-dev-knowledge-gap channel
+# check that quiz_questions last row has a thread_id
+
+# Use white_check_mark emoji on TA message
+
+# check that user in user_scores table appears and has filled luminary_score eq 1
+
+Feature: Knowledge gaps
+
+  Scenario: TopAssist initiates conversations for unanswered questions
+    Given there are no answers for question "What power superman has?"
+    When I run CLI command "main.py knowledge-gap superman"
+    Then listener asks OpenAI for embeddings for the given phrase
+    And corresponding unanswered questions are found in the database
+    And thread "What power superman has?" is created in #topassist-dev-knowledge-gap channel
+    When I reply in the thread with: "Flying"
+    And I react to that reply with :bookmark:
+    Then the conversation is being uploaded to dedicated confluence space

features/populate_knowledge_base.feature

@@ -5,7 +5,7 @@
 Feature: Populate knowledge base
 
   Scenario: CLI commands invocation pulls data from Confluence and saves it in vector database
-    Given Confluence stubs is in defined:
+    Given Confluence stubs are defined:
       | space | page title      | page contents |
       | IT    | Hardware Policy | Company hardware cannot be used for personal purposes.    |
       | HR    | Holiday Policy  | Full time employees are eligible for 30 days of per year. |

features/slack_conversation.feature

@@ -10,8 +10,7 @@ Feature: Slack conversation
 # 3. Feedback. User posts a message to a thread started from the original question -> same as Q&A but instead of creating new conversation it posts to an exiting one.
 
   Scenario: User interacts with TopAssist in Slack
-    Given bot is invited to the channel
-    And document database contains documents:
+    Given document database contains documents:
       | title           | contents                                                  |
       | Holiday Policy  | Full time employees are eligible for 30 days of per year. |
       | Hardware Policy | Company hardware cannot be used for personal purposes.    |