[TypeSpec CI] Ensure TypeSpec sources are formatted according to "tsp…

… format" (#24041)
Azure · Jun 14, 2023 · 8783ae5 · 8783ae5
1 parent e2b5f93
commit 8783ae5
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Showing 28 changed files with 713 additions and 640 deletions.
diff --git a/eng/pipelines/templates/steps/typespec-ci.yml b/eng/pipelines/templates/steps/typespec-ci.yml
@@ -24,17 +24,16 @@ steps:
     fi
 
     # Pass "--no" to ensure npx does not install anything (TypeSpec compiler should already be installed)
-    
+
     if test -f main.tsp; then
       npx --no tsp compile . --warn-as-error || exit_code=1
     fi
     if test -f client.tsp; then
       npx --no tsp compile client.tsp --no-emit --warn-as-error || exit_code=1
     fi
-    
 
-    # Format parent folder to include shared files (disabled until formatting diffs are fixed)
-    # npx tsp format ../**/*.tsp
+    # Format parent folder to include shared files
+    npx tsp format ../**/*.tsp
 
     popd
 

diff --git a/specification/cognitiveservices/AnomalyDetector/client.tsp b/specification/cognitiveservices/AnomalyDetector/client.tsp
@@ -3,4 +3,4 @@ import "./main.tsp";
 
 using Azure.ClientGenerator.Core;
 
-@@convenientAPI(AnomalyDetector.Univariate.detectUnivariateEntireSeries, false)
+@@convenientAPI(AnomalyDetector.Univariate.detectUnivariateEntireSeries, false);
diff --git a/specification/cognitiveservices/AnomalyDetector/main.tsp b/specification/cognitiveservices/AnomalyDetector/main.tsp
@@ -9,7 +9,9 @@ using TypeSpec.Http;
 using TypeSpec.Versioning;
 
 @versioned(APIVersion)
-@service({title: "Anomaly Detector"})
+@service({
+  title: "Anomaly Detector",
+})
 @useAuth(AnomalyDetectorApiKeyAuth)
 @server(
   "{Endpoint}/anomalydetector/{ApiVersion}",
@@ -20,7 +22,7 @@ Supported Azure Cognitive Services endpoints (protocol and host name, such as
 https://westus2.api.cognitive.microsoft.com).
 """)
     Endpoint: string,
-    
+
     @doc("Api Version")
     @path
     ApiVersion: APIVersion,
@@ -47,7 +49,8 @@ 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">;
+model AnomalyDetectorApiKeyAuth
+  is ApiKeyAuth<ApiKeyLocation.header, "Ocp-Apim-Subscription-Key">;
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "https://github.com/Azure/typespec-azure/issues/3107"
 enum APIVersion {

diff --git a/specification/cognitiveservices/AnomalyDetector/multivariate/models.tsp b/specification/cognitiveservices/AnomalyDetector/multivariate/models.tsp
@@ -11,11 +11,11 @@ namespace AnomalyDetector.Multivariate;
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
 @doc("Field that indicates how missing values will be filled.")
 enum FillNAMethod {
-  "Previous",
-  "Subsequent",
-  "Linear",
-  "Zero",
-  "Fixed",
+  Previous,
+  Subsequent,
+  Linear,
+  Zero,
+  Fixed,
 }
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
@@ -29,25 +29,29 @@ enum MultivariateBatchDetectionStatus {
 @doc("Data schema of the input data source. The default is OneTable.")
 enum DataSchema {
   @doc("OneTable means that your input data is in one CSV file, which contains one time stamp column and several variable columns. The default DataSchema value is OneTable.")
-  "OneTable",
+  OneTable,
+
   @doc("MultiTable means that your input data is separated in multiple CSV files. Each file contains one time stamp column and one variable column, and the CSV file name should indicate the name of the variable. The default DataSchema value is OneTable.")
-  "MultiTable",
+  MultiTable,
 }
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
 enum AlignMode {
-  "Inner",
-  "Outer",
+  Inner,
+  Outer,
 }
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
 enum ModelStatus {
   @doc("The model has been created. Training has been scheduled but not yet started.")
   Created: "CREATED",
+
   @doc("The model is being trained.")
   Running: "RUNNING",
+
   @doc("The model has been trained and is ready to be used for anomaly detection.")
   Ready: "READY",
+
   @doc("The model training failed.")
   Failed: "FAILED",
 }
@@ -75,6 +79,7 @@ model MultivariateBatchDetectionResultSummary {
 
   @doc("Error message when detection fails.")
   errors?: ErrorResponse[];
+
   @doc("Variable status.")
   variableStates?: VariableState[];
 
@@ -88,7 +93,6 @@ will need another API to get detection results.
 @doc("Error information that the API returned.")
 @error
 model ErrorResponse {
-
   @doc("Error code.")
   code: string;
 
@@ -154,6 +158,7 @@ be in ISO 8601 format.
 model AnomalyState {
   @doc("Time stamp for this anomaly.")
   timestamp: utcDateTime;
+
   @doc("Detailed value of this anomalous time stamp.")
   value?: AnomalyValue;
 
@@ -180,6 +185,7 @@ Raw anomaly score of severity, to help indicate the degree of abnormality.
   @minValue(0.0)
   @maxValue(2.0)
   score: float32;
+
   @doc("Interpretation of this anomalous time stamp.")
   interpretation?: AnomalyInterpretation[];
 }
@@ -194,6 +200,7 @@ This score shows the percentage that contributes to the anomalous time stamp. It
 number between 0 and 1.
 """)
   contributionScore?: float32;
+
   @doc("Correlation changes among the anomalous variables.")
   correlationChanges?: CorrelationChanges;
 }
@@ -285,6 +292,7 @@ Field that indicates how missing values will be filled.
 model DiagnosticsInfo {
   @doc("Model status.")
   modelState?: ModelState;
+
   @doc("Variable status.")
   variableStates?: VariableState[];
 }
@@ -381,11 +389,11 @@ model VariableValues {
   values: float32[];
 }
 
-
 @doc("Results of the last detection.")
 model MultivariateLastDetectionResult {
   @doc("Variable status.")
   variableStates?: VariableState[];
+
   @doc("Anomaly status and information.")
   results?: AnomalyState[];
 }
@@ -395,6 +403,6 @@ model MultivariateLastDetectionResult {
 model ResponseError {
   @header("x-ms-error-code")
   @doc("Error code.")
-  msErrorCode?: string,
-  ...ErrorResponse
+  msErrorCode?: string;
+  ...ErrorResponse;
 }
diff --git a/specification/cognitiveservices/AnomalyDetector/multivariate/routes.tsp b/specification/cognitiveservices/AnomalyDetector/multivariate/routes.tsp
@@ -34,7 +34,8 @@ resultId value that the BatchDetectAnomaly API returns.
 op getMultivariateBatchDetectionResult(
   @format("uuid")
   @doc("ID of a batch detection result.")
-  @path resultId: string,
+  @path
+  resultId: string
 ): MultivariateDetectionResult | ResponseError;
 
 #suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Azure core RpcOperation does not support custom error response"
@@ -57,15 +58,19 @@ op trainMultivariateModel is MultivariateServiceAction<
   // TParams
   {
     @doc("Model information.")
-    @body modelInfo: ModelInfo,
+    @body
+    modelInfo: ModelInfo;
   },
   // TResponse
   {
-    @statusCode statusCode: 201,
+    @statusCode statusCode: 201;
+
     @doc("Location and ID of the model.")
-    @header location: string,
-    @body result: AnomalyDetectionModel
-  }>;
+    @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.
@@ -79,10 +84,9 @@ op trainMultivariateModel is MultivariateServiceAction<
 @doc("List models of a resource.")
 op listMultivariateModels(
   ...SkipQueryParameter,
-  ...TopQueryParameter,
+  ...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
@@ -94,13 +98,12 @@ op listMultivariateModels(
 op deleteMultivariateModel(
   @doc("Model identifier.")
   @path
-  modelId: string,
+  modelId: string
 ): {
   @doc("Delete model successfully.")
   @statusCode
-  statusCode: 204
-  } | ResponseError;
-
+  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.
@@ -116,7 +119,7 @@ and variables used in the model.
 op getMultivariateModel(
   @doc("Model identifier.")
   @path
-  modelId: string,
+  modelId: string
 ): AnomalyDetectionModel | ResponseError;
 
 #suppress "@azure-tools/typespec-azure-core/use-standard-operations" "Does not fit any standard operation pattern"
@@ -138,18 +141,23 @@ op detectMultivariateBatchAnomaly(
   @doc("Model identifier.")
   @path
   modelId: string,
+
   @doc("Request of multivariate anomaly detection.")
-  @body options: MultivariateBatchDetectionOptions,
+  @body
+  options: MultivariateBatchDetectionOptions
 ): {
-  @statusCode statusCode: 202,
+  @statusCode statusCode: 202;
+
   @doc("ID of the detection result.")
-  @header("Operation-Id") operationId: string,
+  @header("Operation-Id")
+  operationId: string;
+
   @doc("Location of the detection result.")
-  @header("Operation-Location") operationLocation: string,
-  @body result: MultivariateDetectionResult,
+  @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
@@ -166,6 +174,8 @@ op detectMultivariateLastAnomaly(
   @doc("Model identifier.")
   @path
   modelId: string,
+
   @doc("Request of the last detection.")
-  @body options: MultivariateLastDetectionOptions,
+  @body
+  options: MultivariateLastDetectionOptions
 ): MultivariateLastDetectionResult | ResponseError;
diff --git a/specification/cognitiveservices/AnomalyDetector/univariate/models.tsp b/specification/cognitiveservices/AnomalyDetector/univariate/models.tsp
@@ -20,17 +20,17 @@ enum ImputeMode {
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
 enum AnomalyDetectorErrorCodes {
-  "InvalidCustomInterval",
-  "BadArgument",
-  "InvalidGranularity",
-  "InvalidPeriod",
-  "InvalidModelArgument",
-  "InvalidSeries",
-  "InvalidJsonFormat",
-  "RequiredGranularity",
-  "RequiredSeries",
-  "InvalidImputeMode",
-  "InvalidImputeFixedValue",
+  InvalidCustomInterval,
+  BadArgument,
+  InvalidGranularity,
+  InvalidPeriod,
+  InvalidModelArgument,
+  InvalidSeries,
+  InvalidJsonFormat,
+  RequiredGranularity,
+  RequiredSeries,
+  InvalidImputeMode,
+  InvalidImputeFixedValue,
 }
 
 #suppress "@azure-tools/typespec-azure-core/documentation-required" "MUST fix in next update"
@@ -176,7 +176,7 @@ severe the anomaly is. For normal points, the severity is always 0.
 model AnomalyDetectorError {
   @header("x-ms-error-code")
   @doc("Error code.")
-  msErrorCode: string,
+  msErrorCode: string;
 
   @doc("Error code.")
   code: AnomalyDetectorErrorCodes;

diff --git a/specification/cognitiveservices/AnomalyDetector/univariate/routes.tsp b/specification/cognitiveservices/AnomalyDetector/univariate/routes.tsp
@@ -29,10 +29,12 @@ op detectUnivariateEntireSeries is UnivariateServiceAction<
   // TParams
   {
     @doc("Method of univariate anomaly detection.")
-    @body options: UnivariateDetectionOptions,
+    @body
+    options: UnivariateDetectionOptions;
   },
   // TResponse
-  UnivariateEntireDetectionResult>;
+  UnivariateEntireDetectionResult
+>;
 
 #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
@@ -46,10 +48,12 @@ op detectUnivariateLastPoint is UnivariateServiceAction<
   // TParams
   {
     @doc("Method of univariate anomaly detection.")
-    @body options: UnivariateDetectionOptions,
+    @body
+    options: UnivariateDetectionOptions;
   },
   // TResponse
-  UnivariateLastDetectionResult>;
+  UnivariateLastDetectionResult
+>;
 
 #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
@@ -60,7 +64,9 @@ op detectUnivariateChangePoint is UnivariateServiceAction<
   // TParams
   {
     @doc("Method of univariate anomaly detection.")
-    @body options: UnivariateChangePointDetectionOptions,
+    @body
+    options: UnivariateChangePointDetectionOptions;
   },
   // TResponse
-  UnivariateChangePointDetectionResult>;
+  UnivariateChangePointDetectionResult
+>;
diff --git a/specification/cognitiveservices/HealthInsights/healthinsights.oncophenotype/client.tsp b/specification/cognitiveservices/HealthInsights/healthinsights.oncophenotype/client.tsp
@@ -9,14 +9,16 @@ import "../healthinsights.openapi/service.tsp";
 using Azure.ClientGenerator.Core;
 
 @TypeSpec.Versioning.useDependency(Azure.Core.Versions.v1_0_Preview_1)
-@TypeSpec.Versioning.useDependency(AzureHealthInsights.ApiVersion.v2023_03_01_preview)
+@TypeSpec.Versioning.useDependency(
+  AzureHealthInsights.ApiVersion.v2023_03_01_preview
+)
 namespace ClientForAzureHealthInsights;
 
 @client({
-    name: "CancerProfilingClient",
-    service: AzureHealthInsights
+  name: "CancerProfilingClient",
+  service: AzureHealthInsights,
 })
-  interface CancerProfilingClient {
+interface CancerProfilingClient {
   #suppress "@azure-tools/typespec-azure-core/use-standard-operations" "https://github.com/microsoft/typespec/issues/2037"
   inferCancerProfile is AzureHealthInsights.OncoPhenotype.createJob;
 }