Update to version v6.0.2

.nightswatch/functional/files/import-pass-expected.json

@@ -52,6 +52,14 @@
         "Can I import multiple answers when I import with excel?",
         "Can I import multiple answers when I import with excel using QnA Bot?"
       ]
+    },
+    {
+      "a": "今日は晴れです。",
+      "type": "qna",
+      "qid": "DoubleByteCharacters.001",
+      "q": [
+        "今日の天気を教えてください."
+      ]
     }
   ]
 }

.nightswatch/functional/test_1_login.py

@@ -57,9 +57,13 @@ def test_designer_logout(self, designer_login, dom_operator: DomOperator):
         time.sleep(10)
         menu.logout()
         time.sleep(3)
-        title =  dom_operator.get_title()
+        current_url = dom_operator.get_current_url()
+        element = dom_operator.select_css('span.textDescription-customizable')
 
+        title = dom_operator.get_title()
         assert title == 'Signin'
+        assert 'login' in current_url
+        assert element.text == 'Sign in with your username and password'
 
     def test_client_login(self, client_login, dom_operator: DomOperator):
         """

.nightswatch/functional/test_kendra.py

@@ -167,7 +167,7 @@ def test_kendra_fallback(self, designer_login, dom_operator: DomOperator, cw_cli
         """
         Test that the Kendra fallback is used when no answer is found.
 
-        See: https://github.com/aws-solutions/aws-qnabot/blob/main/docs/Kendra_Fallback_README.md
+        See: https://github.com/aws-solutions/qnabot-on-aws/blob/main/source/docs/kendra_fallback/README.md
         """
         menu = MenuNav(dom_operator)
         kendra_page = menu.open_kendra_page()
@@ -193,7 +193,7 @@ def test_kendra_redirect(self, designer_login, loaded_questions: list[dict], dom
         """
         Test the Kendra query contained in the qna is used instead of Kendra fallback when there is a question match.
 
-        See: https://github.com/aws-solutions/qnabot-on-aws/tree/main/docs/kendra_redirect
+        See: https://github.com/aws-solutions/qnabot-on-aws/blob/main/source/docs/kendra_redirect/README.md
         """
         qid = 'Kendra.001'
         question = self.__get_question_by_qid(qid, loaded_questions)

.nightswatch/functional/test_knowledge_base.py

@@ -30,9 +30,23 @@ def test_setup(self, designer_login, dom_operator: DomOperator):
         settings_page.reset_settings()
         settings_page.expand_all_subgroups()
 
+    def test_knowledge_base_returns_custom_no_hits_message(self, designer_login, dom_operator: DomOperator, cw_client: CloudWatchClient):
+        """
+        Test Bedrock Knowledge Base integration returns CustomNoMatches defined in the designer when irrelevant question is asked.
+        https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/using-keyword-filters-for.html#custom-dont-know-answers
+        """
+        menu = MenuNav(dom_operator)
+        chat_page = menu.open_chat_page()
+
+        chat_page.send_message('Who will win next Cricket world cup?')
+        answer = chat_page.get_last_message_text()
+        assert 'You stumped me, I don\'t currently know the answer to that question' in answer
+        cw_client.print_fulfillment_lambda_logs()
+
     def test_knowledge_base_fallback(self, designer_login, dom_operator: DomOperator, cw_client: CloudWatchClient):
         """
-        Test that the Knowledge Base fallback is used when no answer is found. LLM should respond with correct answer as well as source links and context which should be enabled by default.
+        Test that the Knowledge Base fallback is used when no answer is found. LLM should respond with correct answer
+        as well as source links and context which should be enabled by default.
 
         """
         menu = MenuNav(dom_operator)

.nightswatch/functional/test_llm.py

@@ -127,6 +127,19 @@ def test_inference(self, designer_login, dom_operator: DomOperator, cw_client: C
 
         cw_client.print_fulfillment_lambda_logs()
 
+    def test_llm_returns_custom_no_hits_message(self, designer_login, dom_operator: DomOperator, cw_client: CloudWatchClient):
+        """
+        Test LLMApi integration returns CustomNoMatches defined in the designer when irrelevant question is asked.
+        https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/using-keyword-filters-for.html#custom-dont-know-answers
+        """
+        menu = MenuNav(dom_operator)
+        chat_page = menu.open_chat_page()
+
+        chat_page.send_message('Did Humpty Dumpty live in Atlanta?')
+        answer = chat_page.get_last_message_text()
+        assert 'You stumped me, I don\'t currently know the answer to that question' in answer
+        cw_client.print_fulfillment_lambda_logs()
+
     @pytest.mark.skipif(region in g5_instance_regions, reason=llm_multilanguage_unsupported_reason)
     def test_translation(self, client_login, dom_operator: DomOperator, cw_client: CloudWatchClient):
         """

.nightswatch/functional/test_settings.py

@@ -41,7 +41,7 @@ def test_custom_response(self, designer_login, loaded_questions: list[dict], dom
         """
         Tests the custom empty response setting can be overwritten.
 
-        See: https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/keyword-filters-and-custom-dont-know-answers.html
+        See: https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/using-keyword-filters-for.html
         """
         custom_empty_message = "Sorry, I don't know that"
         edit_qid = 'CustomNoMatches'

CHANGELOG.md

@@ -5,10 +5,28 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [6.0.2] - 2024-07-22
+
+### Added
+- Added a migration [documentation](./source/docs/update_or_migrate_deployment/README.md) for Migrating QnABot configurations and data from existing deployment to new deployment
+- Added a [documentation](./source/docs/bedrock_knowledgebase_rag/README.md) for Bedrock Knowledge Base 
+
+### Fixed
+- Improve logout functionality which signs out the user and invalidates the access and refresh tokens that Amazon Cognito issued to a user. [Issue #747](https://github.com/aws-solutions/qnabot-on-aws/issues/747)
+- Fixed bug that restricted import of questions with answers that consisted of only double-byte characters. [Issue #731](https://github.com/aws-solutions/qnabot-on-aws/issues/731)
+- Fixed bug with chained questions causing errors in the fulfillment lambda.
+
+### Updated
+- Removed aws-sdk (JavaScript V2) from dependency list.
+- Updated parameter description for elicit response bot settings in the content designer settings. [Issue #745](https://github.com/aws-solutions/qnabot-on-aws/issues/745)
+- Removed LLM models `meta.llama2-70b-chat-v1` and `meta.llama2-13b-chat-v1` from the list of models in the Cloudformation parameter `LLMBedrockModelId` since these models will be [unavailable on Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/model-lifecycle.html#versions-for-eol) starting from August 12, 2024.
+- Updated the setting `LLM_QA_NO_HITS_REGEX` in the Content Designer to include a default pattern `Sorry, I don't know` in prompts specified through the setting `LLM_QA_PROMPT_TEMPLATE` and other patterns returned by LLMs in their responses. 
+- Constrainted the query made to Bedrock Knowledge Base to maximum of 1000 characters input query as per the [input requirements](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent-runtime_RetrieveAndGenerateInput.html#API_agent-runtime_RetrieveAndGenerateInput_Contents).
+
 ## [6.0.1] - 2024-06-26
 ### Fixed
 - Fixed bug that was restricting stack names to be below 26 characters. [Issue #741](https://github.com/aws-solutions/qnabot-on-aws/issues/741)
-- Fixed a looping issue when using slots and chaining #721 ([PR #721](https://github.com/aws-solutions/qnabot-on-aws/pull/721)) - contributed by ([@amendlik](https://github.com/amendlik))
+- Fixed a looping issue when using slots and chaining ([PR #721](https://github.com/aws-solutions/qnabot-on-aws/pull/719)) - contributed by ([@amendlik](https://github.com/amendlik))
 - Github links with incorrect paths.
 
 ### Updated

README.md

@@ -325,6 +325,7 @@ As QnABot evolves over the years, it makes use of various services and functiona
 _Note: **Deployable solution versions** refers to the ability to deploy the version of QnABot in their AWS accounts. **Actively supported versions** for QnABot is only available for the latest version of QnABot._
 
 ### Deployable Versions
+- [v6.0.2](https://github.com/aws-solutions/qnabot-on-aws/releases/tag/v6.0.2) - [Public](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.2/qnabot-on-aws-main.template)/[VPC](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.2/qnabot-on-aws-vpc.template)
 - [v6.0.1](https://github.com/aws-solutions/qnabot-on-aws/releases/tag/v6.0.1) - [Public](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.1/qnabot-on-aws-main.template)/[VPC](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.1/qnabot-on-aws-vpc.template)
 - [v6.0.0](https://github.com/aws-solutions/qnabot-on-aws/releases/tag/v6.0.0) - [Public](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.0/qnabot-on-aws-main.template)/[VPC](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v6.0.0/qnabot-on-aws-vpc.template)
 - [v5.5.2](https://github.com/aws-solutions/qnabot-on-aws/releases/tag/v5.5.2) - [Public](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v5.5.2/qnabot-on-aws-main.template)/[VPC](https://solutions-reference.s3.amazonaws.com/qnabot-on-aws/v5.5.2md/qnabot-on-aws-vpc.template)

source/cli/README.md

@@ -1,5 +1,5 @@
 # QnABot CLI
-The QnABot on AWS CLI supports the capability to import and export questions and answers from your QnABot setup. For more information on using QnaBot CLI, please refer to [Using QnABot on the AWS Command Line Interface (CLI)](https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/use-qnabot-on-aws-command-line-interface-cli.html)
+The QnABot on AWS CLI supports the capability to import and export questions and answers from your QnABot setup. For more information on using QnaBot CLI, please refer to [Using QnABot on the AWS Command Line Interface (CLI)](https://docs.aws.amazon.com/solutions/latest/qnabot-on-aws/using-qnabot-on-aws-command-line-interface-cli.html)
 
 ## Unit Tests
 1. Get started by creating a virtual environment and deploy the needed Python packages.

source/cli/aws_solutions/qnabot/cli/qnabot_cli.py

@@ -23,7 +23,7 @@
 @click.pass_context
 def cli(ctx) -> None:
     os.environ["SOLUTION_ID"] = "SO0189"
-    os.environ["SOLUTION_VERSION"] = "v6.0.1"
+    os.environ["SOLUTION_VERSION"] = "v6.0.2"
 
 
 @cli.command("import")

source/config.json

@@ -2,7 +2,7 @@
   "region": "us-east-1",
   "profile": "default",
   "publicBucket": "solutions",
-  "publicPrefix": "qnabot-on-aws/v6.0.1",
+  "publicPrefix": "qnabot-on-aws/v6.0.2",
   "devEmail": "",
   "ApprovedDomain": "NONE",
   "Username": "Admin",