Removed qna samples

sdk/cognitivelanguage/azure-ai-language-conversations/MANIFEST.in

@@ -5,4 +5,4 @@ include azure/ai/__init__.py
 include azure/ai/language/__init__.py
 recursive-include tests *.py
 recursive-include samples *.py *.md
-include azure/ai/language/questionanswering/py.typed
+include azure/ai/language/conversations/py.typed

sdk/cognitivelanguage/azure-ai-language-conversations/README.md

@@ -1,160 +1,51 @@
 [![Build Status](https://dev.azure.com/azure-sdk/public/_apis/build/status/azure-sdk-for-python.client?branchName=main)](https://dev.azure.com/azure-sdk/public/_build/latest?definitionId=46?branchName=main)
 
-# Azure Cognitive Language Services Question Answering client library for Python
+# Azure Cognitive Language Services Conversations client library for Python
 
-Question Answering is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQ, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge base—automatically. Your knowledge base gets smarter, too, as it continually learns from users' behavior.
-
-[Source code][questionanswering_client_src] | [Package (PyPI)][questionanswering_pypi_package] | [API reference documentation][questionanswering_refdocs] | [Product documentation][questionanswering_docs] | [Samples][questionanswering_samples]
 
 ## Getting started
 
 ### Prerequisites
 
 * Python 2.7, or 3.6 or later is required to use this package.
 * An [Azure subscription][azure_subscription]
-* An existing Question Answering resource
+
 
 > Note: the new unified Cognitive Language Services are not currently available for deployment.
 
 ### Install the package
 
-Install the Azure QuestionAnswering client library for Python with [pip][pip_link]:
+Install the Azure Conversations client library for Python with [pip][pip_link]:
 
 ```bash
-pip install azure-ai-language-questionanswering
+pip install azure-ai-language-conversations
 ```
 
 ### Authenticate the client
 
-In order to interact with the Question Answering service, you'll need to create an instance of the [QuestionAnsweringClient][questionanswering_client_class] class. You will need an **endpoint**, and an **API key** to instantiate a client object. For more information regarding authenticating with Cognitive Services, see [Authenticate requests to Azure Cognitive Services][cognitive_auth].
 
 #### Get an API key
 
-You can get the **endpoint** and an **API key** from the Cognitive Services resource or Question Answering resource in the [Azure Portal][azure_portal].
-
-Alternatively, use the [Azure CLI][azure_cli] command shown below to get the API key from the Question Answering resource.
-
-```powershell
-az cognitiveservices account keys list --resource-group <resource-group-name> --name <resource-name>
-```
-
-#### Create QuestionAnsweringClient
 
-Once you've determined your **endpoint** and **API key** you can instantiate a `QuestionAnsweringClient`:
 
-```python
-from azure.core.credentials import AzureKeyCredential
-from azure.ai.language.questionanswering import QuestionAnsweringClient
+#### Create ConversationAnalysisClient
 
-endpoint = "https://{myaccount}.api.cognitive.microsoft.com"
-credential = AzureKeyCredential("{api-key}")
-
-client = QuestionAnsweringClient(endpoint, credential)
-```
 
 ## Key concepts
 
-### QuestionAnsweringClient
+### ConversationAnalysisClient
 
-The [QuestionAnsweringClient][questionanswering_client_class] is the primary interface for asking questions using a knowledge base with your own information, or text input using pre-trained models. 
-For asynchronous operations, an async `QuestionAnsweringClient` is in the `azure.ai.language.questionanswering.aio` namespace.
 
 ## Examples
 
-The `azure-ai-language-questionanswering` client library provides both synchronous and asynchronous APIs.
-
-The following examples show common scenarios using the `client` [created above](#create-questionansweringclient).
-- [Ask a question](#ask-a-question)
-- [Ask a follow-up question](#ask-a-follow-up-question)
-- [Asynchronous operations](#asynchronous-operations)
-
-### Ask a question
-
-The only input required to ask a question using a knowledge base is just the question itself:
-
-```python
-from azure.ai.language.questionanswering import models as qna
-
-params = qna.KnowledgeBaseQueryOptions(
-    question="How long should my Surface battery last?"
-)
-
-output = client.query_knowledge_base(
-    params,
-    project_name="FAQ",
-)
-for candidate in output.answers:
-    print("({}) {}".format(candidate.confidence_score, candidate.answer))
-    print("Source: {}".format(candidate.source))
-
-```
-
-You can set additional properties on `KnowledgeBaseQueryOptions` to limit the number of answers, specify a minimum confidence score, and more.
-
-### Ask a follow-up question
-
-If your knowledge base is configured for [chit-chat][questionanswering_docs_chat], you can ask a follow-up question provided the previous question-answering ID and, optionally, the exact question the user asked:
-
-```python
-params = qna.models.KnowledgeBaseQueryOptions(
-    question="How long should charging take?"
-    context=qna.models.KnowledgeBaseAnswerRequestContext(
-        previous_user_query="How long should my Surface battery last?",
-        previous_qna_id=previous_answer.id
-    )
-)
-
-output = client.query_knowledge_base(
-    params,
-    project_name="FAQ"
-)
-for candidate in output.answers:
-    print("({}) {}".format(candidate.confidence_score, candidate.answer))
-    print("Source: {}".format(candidate.source))
-
-```
-### Asynchronous operations
-
-The above examples can also be run asynchronously using the client in the `aio` namespace:
-```python
-from azure.core.credentials import AzureKeyCredential
-from azure.ai.language.questionanswering.aio import QuestionAnsweringClient
-from azure.ai.language.questionanswering import models as qna
-
-client = QuestionAnsweringClient(endpoint, credential)
-
-params = qna.KnowledgeBaseQueryOptions(
-    question="How long should my Surface battery last?"
-)
-
-output = await client.query_knowledge_base(
-    params,
-    project_name="FAQ"
-)
-```
 
 ## Optional Configuration
 Optional keyword arguments can be passed in at the client and per-operation level. The azure-core [reference documentation][azure_core_ref_docs] describes available configurations for retries, logging, transport protocols, and more.
 
 ## Troubleshooting
 
 ### General
-Azure QuestionAnswering clients raise exceptions defined in [Azure Core][azure_core_readme].
-When you interact with the Cognitive Language Services Question Answering client library using the Python SDK, errors returned by the service correspond to the same HTTP status codes returned for [REST API][questionanswering_rest_docs] requests.
 
-For example, if you submit a question to a non-existant knowledge base, a `400` error is returned indicating "Bad Request".
-
-```python
-from azure.core.exceptions import HttpResponseError
-
-try:
-    client.query_knowledge_base(
-        params,
-        project_name="invalid-knowledge-base"
-    )
-except HttpResponseError as error:
-    print("Query failed: {}".format(error.message))
-```
 
 ### Logging
 This library uses the standard
@@ -169,10 +60,6 @@ See full SDK logging documentation with examples [here][sdk_logging_docs].
 
 ## Next steps
 
-* View our [samples][questionanswering_samples].
-* Read about the different [features][questionanswering_docs_features] of the Question Answering service.
-* Try our service [demos][questionanswering_docs_demos].
-
 ## Contributing
 
 See the [CONTRIBUTING.md][contributing] for details on building, testing, and contributing to this library.
@@ -198,15 +85,5 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [azure_core_ref_docs]: https://azuresdkdocs.blob.core.windows.net/$web/python/azure-core/latest/azure.core.html
 [azure_core_readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
 [pip_link]:https://pypi.org/project/pip/
-[questionanswering_client_class]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/cognitivelanguage/azure-ai-language-questionanswering/azure/ai/language/questionanswering/_question_answering_client.py#L27
-[questionanswering_client_src]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/cognitivelanguage/azure-ai-language-questionanswering/
-[questionanswering_docs]: https://azure.microsoft.com/services/cognitive-services/qna-maker/
-[questionanswering_docs_chat]: https://docs.microsoft.com/azure/cognitive-services/qnamaker/how-to/chit-chat-knowledge-base
-[questionanswering_docs_demos]: https://azure.microsoft.com/services/cognitive-services/qna-maker/#demo
-[questionanswering_docs_features]: https://azure.microsoft.com/services/cognitive-services/qna-maker/#features
-[questionanswering_pypi_package]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/cognitivelanguage/azure-ai-language-questionanswering/
-[questionanswering_refdocs]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/cognitivelanguage/azure-ai-language-questionanswering/
-[questionanswering_rest_docs]: https://docs.microsoft.com/rest/api/cognitiveservices-qnamaker/
-[questionanswering_samples]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/cognitivelanguage/azure-ai-language-questionanswering/samples/README.md
 
 ![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fsdk%2Ftemplate%2Fazure-template%2FREADME.png)