Batch 3 sdk gen test

.js/branch.txt

@@ -0,0 +1 @@
+origin/wanl/generate-mlc-in-pipeline

specification/azurelargeinstance/AzureLargeInstance.Management/main.tsp

@@ -16,7 +16,7 @@ using TypeSpec.Versioning;
 @Azure.ResourceManager.armCommonTypesVersion("v5")
 @armProviderNamespace
 @service({
-  title: "Azure Large Instance",
+  title: "Azure Large Instance for testing",
 })
 @doc("The AzureLargeInstance Management client")
 @versioned(Versions)

specification/azurelargeinstance/resource-manager/Microsoft.AzureLargeInstance/preview/2023-07-20-preview/azurelargeinstance.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure Large Instance",
+    "title": "Azure Large Instance for testing",
     "version": "2023-07-20-preview",
     "description": "The AzureLargeInstance Management client",
     "x-typespec-generated": [

specification/azurelargeinstance/resource-manager/Microsoft.AzureLargeInstance/stable/2024-04-10/azurelargeinstance.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure Large Instance",
+    "title": "Azure Large Instance for testing",
     "version": "2024-04-10",
     "description": "The AzureLargeInstance Management client",
     "x-typespec-generated": [

specification/azurestackhci/AzureStackHCI.StackHCIVM.Management/main.tsp

@@ -29,7 +29,7 @@ using TypeSpec.Versioning;
 #suppress "@azure-tools/typespec-azure-core/casing-style" "HCI itself is a short form."
 @armProviderNamespace
 @service({
-  title: "Microsoft.AzureStackHCI",
+  title: "Microsoft.AzureStackHCI for testing",
 })
 @versioned(Versions)
 @armCommonTypesVersion(Azure.ResourceManager.CommonTypes.Versions.v5)

specification/azurestackhci/Operations.Management/main.tsp

@@ -15,7 +15,7 @@ using TypeSpec.Versioning;
 #suppress "@azure-tools/typespec-azure-core/casing-style" "HCI itself is a short form."
 @armProviderNamespace
 @service({
-  title: "Microsoft.AzureStackHCI",
+  title: "Microsoft.AzureStackHCI for testing",
 })
 @versioned(Versions)
 @armCommonTypesVersion(Azure.ResourceManager.CommonTypes.Versions.v5)

specification/azurestackhci/resource-manager/Microsoft.AzureStackHCI/StackHCIVM/preview/2024-02-01-preview/stackhcivm.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft.AzureStackHCI",
+    "title": "Microsoft.AzureStackHCI for testing",
     "version": "2024-02-01-preview",
     "description": "Azure Stack HCI management service",
     "x-typespec-generated": [

specification/azurestackhci/resource-manager/Microsoft.AzureStackHCI/operations/preview/2024-02-01-preview/operations.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft.AzureStackHCI",
+    "title": "Microsoft.AzureStackHCI for testing",
     "version": "2024-02-01-preview",
     "description": "Azure Stack HCI management service",
     "x-typespec-generated": [

specification/batch/Azure.Batch/main.tsp

@@ -6,7 +6,7 @@ using TypeSpec.Http;
 using TypeSpec.Versioning;
 
 @service({
-  title: "Azure Batch",
+  title: "Azure Batch for testing",
 })
 @versioned(Azure.Batch.Versions)
 @doc("Azure Batch provides Cloud-scale job scheduling and compute management.")

specification/batch/Azure.Batch/tspconfig.yaml

@@ -37,3 +37,8 @@ options:
       description: "Batch Service Rest Level Client"
       version: "1.0.0-beta.1"
     flavor: azure
+    generateMetadata: true
+    generateSample: true
+    generateTest: true
+    azureSdkForJs: true
+    emitter-output-dir: "{project-root}/sdk/batch/batch-rest"

specification/batch/data-plane/Azure.Batch/preview/2024-02-01.19.0/BatchService.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure Batch",
+    "title": "Azure Batch for testing",
     "version": "2024-02-01.19.0",
     "description": "Azure Batch provides Cloud-scale job scheduling and compute management.",
     "x-typespec-generated": [

specification/codesigning/CodeSigning.Management/main.tsp

@@ -16,7 +16,7 @@ using TypeSpec.Versioning;
 @doc("Code Signing resource provider api.")
 @armProviderNamespace("Microsoft.CodeSigning")
 @service({
-  title: "CodeSigningManagementClient",
+  title: "CodeSigningManagementClient for testing",
 })
 @versioned(Versions)
 @armCommonTypesVersion(Azure.ResourceManager.CommonTypes.Versions.v5)

specification/codesigning/resource-manager/Microsoft.CodeSigning/preview/2024-02-05-preview/codeSigningAccount.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "CodeSigningManagementClient",
+    "title": "CodeSigningManagementClient for testing",
     "version": "2024-02-05-preview",
     "description": "Code Signing resource provider api.",
     "x-typespec-generated": [

specification/cognitiveservices/AnomalyDetector/main.tsp

@@ -10,7 +10,7 @@ using TypeSpec.Versioning;
 
 @versioned(APIVersion)
 @service({
-  title: "Anomaly Detector",
+  title: "Anomaly Detector for testing",
 })
 @useAuth(AnomalyDetectorApiKeyAuth)
 @server(

specification/cognitiveservices/AnomalyDetector/tspconfig.yaml

@@ -9,6 +9,8 @@ parameters:
     default: "{project-root}/azure-sdk-for-net/"
   "service-directory-name":
     default: "anomalydetector"
+  "service-dir":
+    default: "sdk/anomalydetector"
 emit:
   - "@azure-tools/typespec-autorest"
 linter:
@@ -43,9 +45,12 @@ options:
     model-namespace: false
     flavor: azure
   "@azure-tools/typespec-ts":
+    package-dir: "ai-anomaly-detector-rest"
     emitter-output-dir: "{js-sdk-folder}/sdk/{service-directory-name}/ai-anomaly-detector-rest"
     generateMetadata: true
+    generateSample: true
     generateTest: true
+    azureSdkForJs: true
     packageDetails:
       name: "@azure-rest/ai-anomaly-detector"
     flavor: azure

specification/cognitiveservices/ContentSafety/main.tsp

@@ -10,7 +10,7 @@ using TypeSpec.Versioning;
 using Azure.Core;
 
 @service({
-  title: "ContentSafety Service",
+  title: "ContentSafety Service for testing",
 })
 @versioned(ContentSafety.Versions)
 @useAuth(

specification/cognitiveservices/ContentSafety/tspconfig.yaml

@@ -27,7 +27,12 @@ options:
     model-namespace: false
     flavor: azure
   "@azure-tools/typespec-ts":
+    # reference: https://github.com/Azure/autorest.typescript/blob/main/packages/typespec-test/test/loadTest/tspconfig.yaml 
     package-dir: "ai-content-safety-rest"
+    generateMetadata: true
+    generateSample: true
+    generateTest: true
+    azureSdkForJs: true
     packageDetails:
       name: "@azure-rest/ai-content-safety"
       version: "1.0.0"

specification/cognitiveservices/Language.AnalyzeText/main.tsp

@@ -31,7 +31,7 @@ using Azure.Core.Traits;
   ]>
 )
 @service({
-  title: "Microsoft Cognitive Language Service - Text Analysis",
+  title: "Microsoft Cognitive Language Service - Text Analysis for testing",
 })
 @server(
   "{Endpoint}/language",

specification/cognitiveservices/Language.Conversations/main.tsp

@@ -24,7 +24,7 @@ using Azure.Core.Traits;
   ]>
 )
 @service({
-  title: "Microsoft Cognitive Language Service - Analyze Conversations",
+  title: "Microsoft Cognitive Language Service - Analyze Conversations for testing",
 })
 @server(
   "{Endpoint}/language",
@@ -1140,7 +1140,7 @@ union SummaryAspect {
   resolution: "resolution",
 
   /** Chapter title of any conversation. It's usually one phrase or several phrases naturally combined. Long conversations tend to have more chapters. You can find the chapter boundary from the summary context. */
-  chapterTitle: "chapterTitle",
+  chaptertitle: "chapterTitle for testing",
 
   /** Generic narrative summary of any conversation. It generally converts the conversational language into formal written language, compresses the text length, and keeps the salient information. */
   narrative: "narrative",

specification/cognitiveservices/OpenAI.Inference/main.tsp

@@ -23,7 +23,7 @@ using TypeSpec.Versioning;
   ]>
 )
 @service({
-  title: "Azure OpenAI API",
+  title: "Azure OpenAI API for testing",
 })
 @server(
   "{endpoint}/openai",

specification/cognitiveservices/OpenAI.Inference/tspconfig.yaml

@@ -35,9 +35,15 @@ options:
     flavor: azure
   "@azure-tools/typespec-ts":
     package-dir: "openai"
-    generateMetadata: false
-    generateTest: false
+    generateMetadata: true
+    generateSample: true
+    generateTest: true
+    azureSdkForJs: true
     isModularLibrary: true
+    experimentalExtensibleEnums: true
+    enableOperationGroup: true
+    hierarchyClient: false
+    emitter-output-dir: "{project-root}/sdk/openai/openai"
     packageDetails:
       name: "@azure/openai"
     flavor: azure

specification/cognitiveservices/data-plane/AnomalyDetector/stable/v1.1/openapi.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Anomaly Detector",
+    "title": "Anomaly Detector for testing",
     "version": "v1.1",
     "description": "The Anomaly Detector API detects anomalies automatically in time series data.\nIt supports both a stateless detection mode and a\nstateful detection mode. In stateless mode, there are three functionalities. Entire\nDetect is for detecting the whole series, with the model trained by the time series.\nLast Detect is for detecting the last point, with the model trained by points before.\nChangePoint Detect is for detecting trend changes in the time series. In stateful\nmode, the user can store time series. The stored time series will be used for\ndetection anomalies. In this mode, the user can still use the preceding three\nfunctionalities by only giving a time range without preparing time series on the\nclient side. Besides the preceding three functionalities, the stateful model\nprovides group-based detection and labeling services. By using the labeling\nservice, the user can provide labels for each detection result. These labels will be\nused for retuning or regenerating detection models. Inconsistency detection is\na kind of group-based detection that finds inconsistencies in\na set of time series. By using the anomaly detector service, business customers can\ndiscover incidents and establish a logic flow for root cause analysis.",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-06-01-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2023-06-01-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2023-07-01-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2023-07-01-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-02-15-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-02-15-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-03-01-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-03-01-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-04-01-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-04-01-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/preview/2024-05-01-preview/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-05-01-preview",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2022-12-01/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2022-12-01",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2023-05-15/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2023-05-15",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2024-02-01/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-02-01",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/AzureOpenAI/inference/stable/2024-06-01/generated.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Azure OpenAI API",
+    "title": "Azure OpenAI API for testing",
     "version": "2024-06-01",
     "description": "Azure OpenAI APIs for completions and search",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/ContentSafety/stable/2023-10-01/contentsafety.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "ContentSafety Service",
+    "title": "ContentSafety Service for testing",
     "version": "2023-10-01",
     "description": "Analyze harmful content",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/ContentSafety/stable/2024-09-01/contentsafety.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "ContentSafety Service",
+    "title": "ContentSafety Service for testing",
     "version": "2024-09-01",
     "description": "Analyze harmful content",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/Language/preview/2023-11-15-preview/analyzetext.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft Cognitive Language Service - Text Analysis",
+    "title": "Microsoft Cognitive Language Service - Text Analysis for testing",
     "version": "2023-11-15-preview",
     "description": "The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms.  The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in <a href=\\\"https://docs.microsoft.com/azure/cognitive-services/language-service/overview\\\">https://docs.microsoft.com/azure/cognitive-services/language-service/overview</a>.0",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/Language/preview/2024-05-15-preview/analyzeconversations.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft Cognitive Language Service - Analyze Conversations",
+    "title": "Microsoft Cognitive Language Service - Analyze Conversations for testing",
     "version": "2024-05-15-preview",
     "description": "The language service conversations API is a suite of natural language processing (NLP) skills that can be used to analyze structured conversations (textual or spoken). The synchronous API in this suite accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversational Language Understanding, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload.\\n\\n In some cases, this API needs to forward requests and responses between the caller and an upstream service. The asynchronous APIs in this suite enable tasks like Conversation Summarization and Conversational PII detection.",
     "x-typespec-generated": [
@@ -3957,7 +3957,7 @@
       "enum": [
         "issue",
         "resolution",
-        "chapterTitle",
+        "chapterTitle for testing",
         "narrative",
         "recap",
         "follow-up tasks"
@@ -3977,8 +3977,8 @@
             "description": "Summary of resolutions in transcripts of web chats and service calls between customer-service agents and customers."
           },
           {
-            "name": "chapterTitle",
-            "value": "chapterTitle",
+            "name": "chaptertitle",
+            "value": "chapterTitle for testing",
             "description": "Chapter title of any conversation. It's usually one phrase or several phrases naturally combined. Long conversations tend to have more chapters. You can find the chapter boundary from the summary context."
           },
           {

specification/cognitiveservices/data-plane/Language/stable/2022-05-01/analyzeconversations.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft Cognitive Language Service - Analyze Conversations",
+    "title": "Microsoft Cognitive Language Service - Analyze Conversations for testing",
     "version": "2022-05-01",
     "description": "The language service conversations API is a suite of natural language processing (NLP) skills that can be used to analyze structured conversations (textual or spoken). The synchronous API in this suite accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversational Language Understanding, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload.\\n\\n In some cases, this API needs to forward requests and responses between the caller and an upstream service. The asynchronous APIs in this suite enable tasks like Conversation Summarization and Conversational PII detection.",
     "x-typespec-generated": [

specification/cognitiveservices/data-plane/Language/stable/2022-05-01/analyzetext.json

@@ -1,7 +1,7 @@
 {
   "swagger": "2.0",
   "info": {
-    "title": "Microsoft Cognitive Language Service - Text Analysis",
+    "title": "Microsoft Cognitive Language Service - Text Analysis for testing",
     "version": "2022-05-01",
     "description": "The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms.  The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in <a href=\\\"https://docs.microsoft.com/azure/cognitive-services/language-service/overview\\\">https://docs.microsoft.com/azure/cognitive-services/language-service/overview</a>.0",
     "x-typespec-generated": [