Mvad update

specification/cognitiveservices/AnomalyDetector/examples/v1.1/ChangePointDetect.json

@@ -6,7 +6,7 @@
     "ApiVersion": "v1.1",
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
-    "body": {
+    "options": {
       "series": [
         {
           "timestamp": "2017-01-01T06:45:00Z",

specification/cognitiveservices/AnomalyDetector/examples/v1.1/DetectAnomaly.json

@@ -7,7 +7,7 @@
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
     "modelId": "45aad126-aafd-11ea-b8fb-d89ef3400c5f",
-    "body": {
+    "options": {
       "dataSource": "https://multiadsample.blob.core.windows.net/data/sample_data_2_1000.csv",
       "topContributorCount": 10,
       "startTime": "2019-04-01T00:15:00Z",

specification/cognitiveservices/AnomalyDetector/examples/v1.1/EntireDetect.json

@@ -6,7 +6,7 @@
     "ApiVersion": "v1.1",
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
-    "body": {
+    "options": {
       "series": [
         {
           "timestamp": "1972-01-01T00:00:00Z",

specification/cognitiveservices/AnomalyDetector/examples/v1.1/LastDetect.json

@@ -6,7 +6,7 @@
     "ApiVersion": "v1.1",
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
-    "body": {
+    "options": {
       "series": [
         {
           "timestamp": "1972-01-01T00:00:00Z",

specification/cognitiveservices/AnomalyDetector/examples/v1.1/LastDetectAnomaly.json

@@ -7,7 +7,7 @@
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
     "modelId": "45aad126-aafd-11ea-b8fb-d89ef3400c5f",
-    "body": {
+    "options": {
       "variables": [
         {
           "variable": "Variable_1",

specification/cognitiveservices/AnomalyDetector/examples/v1.1/TrainModel.json

@@ -6,7 +6,7 @@
     "ApiVersion": "v1.1",
     "Content-Type": "application/json",
     "Ocp-Apim-Subscription-Key": "{API key}",
-    "body": {
+    "modelInfo": {
       "slidingWindow": 20,
       "alignPolicy": {
         "alignMode": "Outer",

specification/cognitiveservices/AnomalyDetector/main.tsp

@@ -10,7 +10,7 @@ using TypeSpec.Versioning;
 
 @versioned(APIVersion)
 @service({title: "Anomaly Detector"})
-@useAuth(ApiKeyAuth<ApiKeyLocation.header, "Ocp-Apim-Subscription-Key">)
+@useAuth(AnomalyDetectorApiKeyAuth)
 @server(
   "{Endpoint}/anomalydetector/{ApiVersion}",
   "The Anomaly Detector API detects anomalies automatically in time series data. It supports two kinds of mode, one is for stateless using, another is for stateful using. In stateless mode, there are three functionalities. Entire Detect is for detecting the whole series with model trained by the time series, Last Detect is detecting last point with model trained by points before. ChangePoint Detect is for detecting trend changes in time series. In stateful mode, user can store time series, the stored time series will be used for detection anomalies. Under this mode, user can still use the above three functionalities by only giving a time range without preparing time series in client side. Besides the above three functionalities, stateful model also provide group based detection and labeling service. By leveraging labeling service user can provide labels for each detection result, these labels will be used for retuning or regenerating detection models. Inconsistency detection is a kind of group based detection, this detection will find inconsistency ones in a set of time series. By using anomaly detector service, business customers can discover incidents and establish a logic flow for root cause analysis.",
@@ -46,6 +46,9 @@ discover incidents and establish a logic flow for root cause analysis.
 """)
 namespace AnomalyDetector;
 
+@doc("The secret key for your Azure Cognitive Services subscription.")
+model AnomalyDetectorApiKeyAuth is ApiKeyAuth<ApiKeyLocation.header, "Ocp-Apim-Subscription-Key">;
+
 enum APIVersion {
   v1_1: "v1.1",
 }

specification/cognitiveservices/AnomalyDetector/multivariate/models.tsp

@@ -17,7 +17,6 @@ enum FillNAMethod {
   "Fixed",
 }
 
-@fixed
 enum MultivariateBatchDetectionStatus {
   Created: "CREATED",
   Running: "RUNNING",
@@ -33,13 +32,11 @@ enum DataSchema {
   "MultiTable",
 }
 
-@fixed
 enum AlignMode {
   "Inner",
   "Outer",
 }
 
-@fixed
 enum ModelStatus {
   Created: "CREATED",
   Running: "RUNNING",
@@ -50,8 +47,8 @@ enum ModelStatus {
 @doc("Detection results for the resultId value.")
 @resource("multivariate/detect-batch")
 model MultivariateDetectionResult {
+  #suppress "@azure-tools/typespec-azure-core/key-visibility-required" "Properties in response-only schemas should not be marked readOnly"
   @doc("Result identifier that's used to fetch the results of an inference call.")
-  @visibility("read")
   @key
   @format("uuid")
   resultId: string;
@@ -96,6 +93,7 @@ model VariableState {
   @doc("Variable name in variable states.")
   variable?: string;
 
+  #suppress "@azure-tools/typespec-azure-core/casing-style" "Service uppercases common acronyms like NA."
   @doc("Proportion of missing values that need to be filled by fillNAMethod.")
   @minValue(0.0)
   @maxValue(1.0)
@@ -245,13 +243,15 @@ detect whether the time stamp is an anomaly or not.
   alignPolicy?: AlignPolicy;
 
   @doc("Model status.")
+  @visibility("read")
   status?: ModelStatus;
 
-  @visibility("read")
   @doc("Error messages after failure to create a model.")
+  @visibility("read")
   errors?: ErrorResponse[];
 
   @doc("Diagnostics information to help inspect the states of a model or variable.")
+  @visibility("read")
   diagnosticsInfo?: DiagnosticsInfo;
 }
 
@@ -263,6 +263,7 @@ time range.
 """)
   alignMode?: AlignMode;
 
+  #suppress "@azure-tools/typespec-azure-core/casing-style" "Service uppercases common acronyms like NA."
   @doc("""
 Field that indicates how missing values will be filled.
 """)
@@ -307,8 +308,8 @@ epoch.
 @doc("Response of getting a model.")
 @resource("multivariate/models")
 model AnomalyDetectionModel {
+  #suppress "@azure-tools/typespec-azure-core/key-visibility-required" "Properties in response-only schemas should not be marked readOnly"
   @doc("Model identifier.")
-  @visibility("read")
   @key
   @format("uuid")
   modelId: string;
@@ -357,7 +358,7 @@ Number of top contributed
 variables for one anomalous time stamp in the response. The default is
 10.
 """)
-  topContributorCount: int32;
+  topContributorCount?: int32 = 10;
 }
 
 @doc("Variable values.")
@@ -384,8 +385,8 @@ model MultivariateLastDetectionResult {
 @doc("Error response.")
 @error
 model ResponseError {
-  @header
+  @header("x-ms-error-code")
   @doc("Error code.")
-  "x-ms-error-code"?: string,
+  msErrorCode?: string,
   ...ErrorResponse
 }

specification/cognitiveservices/AnomalyDetector/multivariate/routes.tsp

@@ -9,22 +9,36 @@ using Azure.Core;
 
 namespace AnomalyDetector.Multivariate;
 
+// Operation templates
+
+@post
+@doc("Operation template for multivariate anomaly detection service action.")
+op MultivariateServiceAction<TParams, TResponse>(
+  ...TParams
+): TResponse | ResponseError;
+
+// Operations
+
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably GetResourceOperationStatus, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
+// https://github.com/Azure/typespec-azure/issues/2798
 @get
 @route("/multivariate/detect-batch/{resultId}")
 @summary("Get Multivariate Anomaly Detection Result")
 @doc("""
 For asynchronous inference, get a multivariate anomaly detection result based on the
 resultId value that the BatchDetectAnomaly API returns.
 """)
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op GetMultivariateBatchDetectionResult(
   @format("uuid")
   @doc("ID of a batch detection result.")
   @path resultId: string,
 ): MultivariateDetectionResult | ResponseError;
 
-
-@post
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Azure core RpcOperation does not support custom error response"
+// https://github.com/Azure/typespec-azure/issues/2795
 @route("/multivariate/models")
 @summary("Train a Multivariate Anomaly Detection Model")
 @doc("""
@@ -35,38 +49,44 @@ Storage folder that contains multiple CSV files, where each CSV file has
 two columns, time stamp and variable. Or the Blob Storage URI can point to a single blob that contains a CSV file that has all the variables and a
 time stamp column.
 """)
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
-op TrainMultivariateModel(
-  @doc("Model information.")
-  @body modelInfo: ModelInfo,
-): {
-  @statusCode statusCode: 201,
-  @doc("Location and ID of the model.")
-  @header Location: string,
-  @body result: AnomalyDetectionModel
-  } | ResponseError;
+op TrainMultivariateModel is MultivariateServiceAction<
+  // TParams
+  {
+    @doc("Model information.")
+    @body modelInfo: ModelInfo,
+  },
+  // TResponse
+  {
+    @statusCode statusCode: 201,
+    @doc("Location and ID of the model.")
+    @header location: string,
+    @body result: AnomalyDetectionModel
+  }>;
 
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably ResourceList, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
+// https://github.com/Azure/typespec-azure/issues/2798
+// and because the response uses "models" instead of "value" as the array property name.
 @get
 @route("/multivariate/models")
 @summary("List Multivariate Models")
 @doc("List models of a resource.")
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op ListMultivariateModels(
-  @doc("Skip indicates how many models will be skipped.")
-  @query
-  skip?: int32 = 0;
-
-  @doc("Top indicates how many models will be fetched.")
-  @query
-  top?: int32;
+  ...SkipQueryParameter,
+  ...TopQueryParameter,
 ): ModelList | ResponseError;
 
 
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably ResourceDelete, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
 @summary("Delete Multivariate Model")
 @doc("Delete an existing multivariate model according to the modelId value.")
 @delete
 @route("/multivariate/models/{modelId}")
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op DeleteMultivariateModel(
   @doc("Model identifier.")
   @path
@@ -77,20 +97,29 @@ op DeleteMultivariateModel(
   statusCode: 204
   } | ResponseError;
 
+
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably ResourceGet, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
 @summary("Get Multivariate Model")
 @doc("""
 Get detailed information about the multivariate model, including the training status
 and variables used in the model.
 """)
 @get
 @route("/multivariate/models/{modelId}")
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op GetMultivariateModel(
   @doc("Model identifier.")
   @path
   modelId: string,
 ): AnomalyDetectionModel | ResponseError;
 
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably LongRunningResourceAction, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
+@post
 @route("/multivariate/models/{modelId}:detect-batch")
 @summary("Detect Multivariate Anomaly")
 @doc("""
@@ -101,7 +130,6 @@ query the detection result. The request should be a source link to indicate an
 externally accessible Azure Storage URI that either points to an Azure Blob
 Storage folder or points to a CSV file in Azure Blob Storage.
 """)
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op DetectMultivariateBatchAnomaly(
   @doc("Model identifier.")
   @path
@@ -111,12 +139,17 @@ op DetectMultivariateBatchAnomaly(
 ): {
   @statusCode statusCode: 202,
   @doc("ID of the detection result.")
-  @header "Operation-Id": string,
+  @header("Operation-Id") operationId: string,
   @doc("Location of the detection result.")
-  @header "Operation-Location": string,
+  @header("Operation-Location") operationLocation: string,
   @body result: MultivariateDetectionResult,
 } | ResponseError;
 
+
+#suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
+// This operation does not fit any standard operation pattern.
+// The closest match is probably ResourceAction, but that can't be used because
+// it does not support an api-version in the path defined in the @server decorator.
 @route("/multivariate/models/{modelId}:detect-last")
 @summary("Detect anomalies in the last point of the request body")
 @doc("""
@@ -125,7 +158,6 @@ and inference data. The inference data should be put into the request body in
 JSON format. The request will finish synchronously and return the detection
 immediately in the response body.
 """)
-// To improve CADL implementation apply: https://github.com/Azure/azure-rest-api-specs/issues/21527
 op DetectMultivariateLastAnomaly(
   @doc("Model identifier.")
   @path

specification/cognitiveservices/AnomalyDetector/tspconfig.yaml

@@ -1,12 +1,12 @@
 emit: [
   "@azure-tools/typespec-autorest",
-  "@azure-tools/typespec-python",
-  "@azure-tools/typespec-csharp",
 ]
 options:
   "@azure-tools/typespec-autorest":
-    "output-file": "openapi.json"
-    "examples-directory": ./examples
+    examples-directory: ./examples
+    omit-unreachable-types: true
+    output-file: openapi.json
+    emitter-output-dir: "{project-root}/../data-plane/AnomalyDetector/stable"
   "@azure-tools/typespec-python":
     "basic-setup-py": true
     "package-version": 3.0.0b6
@@ -22,5 +22,3 @@ options:
     clear-output-folder: true
     namespace: Azure.AI.AnomalyDetector
     model-namespace: false
-  # Uncomment this line and add "@azure-tools/typespec-typescript" to your package.json to generate Typescript code
-  # "@azure-tools/cadl-typescript": true

specification/cognitiveservices/AnomalyDetector/univariate/models.tsp

@@ -31,7 +31,6 @@ enum AnomalyDetectorErrorCodes {
   "InvalidImputeFixedValue",
 }
 
-@fixed
 enum TimeGranularity {
   Yearly: "yearly",
   Monthly: "monthly",
@@ -172,15 +171,15 @@ severe the anomaly is. For normal points, the severity is always 0.
 @doc("Error information that the API returned.")
 @error
 model AnomalyDetectorError {
-  @header
+  @header("x-ms-error-code")
   @doc("Error code.")
-  "x-ms-error-code"?: string,
+  msErrorCode: string,
 
   @doc("Error code.")
-  code?: AnomalyDetectorErrorCodes;
+  code: AnomalyDetectorErrorCodes;
 
   @doc("Message that explains the error that the service reported.")
-  message?: string;
+  message: string;
 }
 
 @doc("Response of the last anomaly detection.")