[AutoPR azure-ai-anomalydetector] Cleaning build for TypeSpec data plane services

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/implementation/package-info.java

@@ -4,16 +4,16 @@
 
 /**
  * Package containing the implementations for AnomalyDetector. 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.
+ * in time series data. It supports both a stateless detection mode and a stateful detection mode. In stateless mode,
+ * there are three functionalities. Entire Detect is for detecting the whole series, with the model trained by the time
+ * series. Last Detect is for detecting the last point, with the model trained by points before. ChangePoint Detect is
+ * for detecting trend changes in the time series. In stateful mode, the user can store time series. The stored time
+ * series will be used for detection anomalies. In this mode, the user can still use the preceding three functionalities
+ * by only giving a time range without preparing time series on the client side. Besides the preceding three
+ * functionalities, the stateful model provides group-based detection and labeling services. By using the labeling
+ * service, the 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 that finds inconsistencies
+ * in a set of time series. By using the anomaly detector service, business customers can discover incidents and
+ * establish a logic flow for root cause analysis.
  */
 package com.azure.ai.anomalydetector.implementation;

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AlignMode.java

@@ -4,48 +4,43 @@
 
 package com.azure.ai.anomalydetector.models;
 
+import com.azure.core.util.ExpandableStringEnum;
 import com.fasterxml.jackson.annotation.JsonCreator;
-import com.fasterxml.jackson.annotation.JsonValue;
+import java.util.Collection;
 
 /** Defines values for AlignMode. */
-public enum AlignMode {
-    /** Enum value Inner. */
-    INNER("Inner"),
+public final class AlignMode extends ExpandableStringEnum<AlignMode> {
+    /** Static value Inner for AlignMode. */
+    public static final AlignMode INNER = fromString("Inner");
 
-    /** Enum value Outer. */
-    OUTER("Outer");
+    /** Static value Outer for AlignMode. */
+    public static final AlignMode OUTER = fromString("Outer");
 
-    /** The actual serialized value for a AlignMode instance. */
-    private final String value;
-
-    AlignMode(String value) {
-        this.value = value;
-    }
+    /**
+     * Creates a new instance of AlignMode value.
+     *
+     * @deprecated Use the {@link #fromString(String)} factory method.
+     */
+    @Deprecated
+    public AlignMode() {}
 
     /**
-     * Parses a serialized value to a AlignMode instance.
+     * Creates or finds a AlignMode from its string representation.
      *
-     * @param value the serialized value to parse.
-     * @return the parsed AlignMode object, or null if unable to parse.
+     * @param name a name to look for.
+     * @return the corresponding AlignMode.
      */
     @JsonCreator
-    public static AlignMode fromString(String value) {
-        if (value == null) {
-            return null;
-        }
-        AlignMode[] items = AlignMode.values();
-        for (AlignMode item : items) {
-            if (item.toString().equalsIgnoreCase(value)) {
-                return item;
-            }
-        }
-        return null;
+    public static AlignMode fromString(String name) {
+        return fromString(name, AlignMode.class);
     }
 
-    /** {@inheritDoc} */
-    @JsonValue
-    @Override
-    public String toString() {
-        return this.value;
+    /**
+     * Gets known AlignMode values.
+     *
+     * @return known AlignMode values.
+     */
+    public static Collection<AlignMode> values() {
+        return values(AlignMode.class);
     }
 }

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AlignPolicy.java

@@ -7,25 +7,24 @@
 import com.azure.core.annotation.Fluent;
 import com.fasterxml.jackson.annotation.JsonProperty;
 
-/** An optional field, indicating the manner to align multiple variables. */
+/** Manner of aligning multiple variables. */
 @Fluent
 public final class AlignPolicy {
     /*
-     * An optional field, indicating how to align different variables to the same
-     * time-range. Either Inner or Outer.
+     * Field that indicates how to align different variables to the same
+     * time range.
      */
     @JsonProperty(value = "alignMode")
     private AlignMode alignMode;
 
     /*
-     * An optional field, indicating how missing values will be filled. One of
-     * Previous, Subsequent, Linear, Zero, Fixed.
+     * Field that indicates how missing values will be filled.
      */
     @JsonProperty(value = "fillNAMethod")
     private FillNAMethod fillNAMethod;
 
     /*
-     * An optional field. Required when fillNAMethod is Fixed.
+     * Field that's required when fillNAMethod is Fixed.
      */
     @JsonProperty(value = "paddingValue")
     private Double paddingValue;
@@ -34,8 +33,7 @@ public final class AlignPolicy {
     public AlignPolicy() {}
 
     /**
-     * Get the alignMode property: An optional field, indicating how to align different variables to the same
-     * time-range. Either Inner or Outer.
+     * Get the alignMode property: Field that indicates how to align different variables to the same time range.
      *
      * @return the alignMode value.
      */
@@ -44,8 +42,7 @@ public AlignMode getAlignMode() {
     }
 
     /**
-     * Set the alignMode property: An optional field, indicating how to align different variables to the same
-     * time-range. Either Inner or Outer.
+     * Set the alignMode property: Field that indicates how to align different variables to the same time range.
      *
      * @param alignMode the alignMode value to set.
      * @return the AlignPolicy object itself.
@@ -56,8 +53,7 @@ public AlignPolicy setAlignMode(AlignMode alignMode) {
     }
 
     /**
-     * Get the fillNAMethod property: An optional field, indicating how missing values will be filled. One of Previous,
-     * Subsequent, Linear, Zero, Fixed.
+     * Get the fillNAMethod property: Field that indicates how missing values will be filled.
      *
      * @return the fillNAMethod value.
      */
@@ -66,8 +62,7 @@ public FillNAMethod getFillNAMethod() {
     }
 
     /**
-     * Set the fillNAMethod property: An optional field, indicating how missing values will be filled. One of Previous,
-     * Subsequent, Linear, Zero, Fixed.
+     * Set the fillNAMethod property: Field that indicates how missing values will be filled.
      *
      * @param fillNAMethod the fillNAMethod value to set.
      * @return the AlignPolicy object itself.
@@ -78,7 +73,7 @@ public AlignPolicy setFillNAMethod(FillNAMethod fillNAMethod) {
     }
 
     /**
-     * Get the paddingValue property: An optional field. Required when fillNAMethod is Fixed.
+     * Get the paddingValue property: Field that's required when fillNAMethod is Fixed.
      *
      * @return the paddingValue value.
      */
@@ -87,7 +82,7 @@ public Double getPaddingValue() {
     }
 
     /**
-     * Set the paddingValue property: An optional field. Required when fillNAMethod is Fixed.
+     * Set the paddingValue property: Field that's required when fillNAMethod is Fixed.
      *
      * @param paddingValue the paddingValue value to set.
      * @return the AlignPolicy object itself.

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AnomalyDetectionModel.java

@@ -31,7 +31,7 @@ public final class AnomalyDetectionModel {
     private OffsetDateTime lastUpdatedTime;
 
     /*
-     * Training result of a model including its status, errors and diagnostics
+     * Training result of a model, including its status, errors, and diagnostics
      * information.
      */
     @JsonProperty(value = "modelInfo")
@@ -79,7 +79,8 @@ public OffsetDateTime getLastUpdatedTime() {
     }
 
     /**
-     * Get the modelInfo property: Training result of a model including its status, errors and diagnostics information.
+     * Get the modelInfo property: Training result of a model, including its status, errors, and diagnostics
+     * information.
      *
      * @return the modelInfo value.
      */

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AnomalyInterpretation.java

@@ -7,7 +7,7 @@
 import com.azure.core.annotation.Immutable;
 import com.fasterxml.jackson.annotation.JsonProperty;
 
-/** Interpretation of the anomalous timestamp. */
+/** Interpretation of the anomalous time stamp. */
 @Immutable
 public final class AnomalyInterpretation {
     /*
@@ -17,14 +17,14 @@ public final class AnomalyInterpretation {
     private String variable;
 
     /*
-     * This score shows the percentage contributing to the anomalous timestamp. A
+     * This score shows the percentage that contributes to the anomalous time stamp. It's a
      * number between 0 and 1.
      */
     @JsonProperty(value = "contributionScore")
     private Double contributionScore;
 
     /*
-     * Correlation changes among the anomalous variables
+     * Correlation changes among the anomalous variables.
      */
     @JsonProperty(value = "correlationChanges")
     private CorrelationChanges correlationChanges;
@@ -42,8 +42,8 @@ public String getVariable() {
     }
 
     /**
-     * Get the contributionScore property: This score shows the percentage contributing to the anomalous timestamp. A
-     * number between 0 and 1.
+     * Get the contributionScore property: This score shows the percentage that contributes to the anomalous time stamp.
+     * It's a number between 0 and 1.
      *
      * @return the contributionScore value.
      */

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AnomalyState.java

@@ -14,19 +14,19 @@
 @Immutable
 public final class AnomalyState {
     /*
-     * The timestamp for this anomaly.
+     * Time stamp for this anomaly.
      */
     @JsonProperty(value = "timestamp", required = true)
     private OffsetDateTime timestamp;
 
     /*
-     * The detailed value of this anomalous timestamp.
+     * Detailed value of this anomalous time stamp.
      */
     @JsonProperty(value = "value")
     private AnomalyValue value;
 
     /*
-     * Error message for the current timestamp.
+     * Error message for the current time stamp.
      */
     @JsonProperty(value = "errors")
     private List<ErrorResponse> errors;
@@ -42,7 +42,7 @@ private AnomalyState(@JsonProperty(value = "timestamp", required = true) OffsetD
     }
 
     /**
-     * Get the timestamp property: The timestamp for this anomaly.
+     * Get the timestamp property: Time stamp for this anomaly.
      *
      * @return the timestamp value.
      */
@@ -51,7 +51,7 @@ public OffsetDateTime getTimestamp() {
     }
 
     /**
-     * Get the value property: The detailed value of this anomalous timestamp.
+     * Get the value property: Detailed value of this anomalous time stamp.
      *
      * @return the value value.
      */
@@ -60,7 +60,7 @@ public AnomalyValue getValue() {
     }
 
     /**
-     * Get the errors property: Error message for the current timestamp.
+     * Get the errors property: Error message for the current time stamp.
      *
      * @return the errors value.
      */

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/AnomalyValue.java

@@ -9,11 +9,11 @@
 import com.fasterxml.jackson.annotation.JsonProperty;
 import java.util.List;
 
-/** Detailed information of the anomalous timestamp. */
+/** Detailed information of the anomalous time stamp. */
 @Immutable
 public final class AnomalyValue {
     /*
-     * True if an anomaly is detected at the current timestamp.
+     * True if an anomaly is detected at the current time stamp.
      */
     @JsonProperty(value = "isAnomaly", required = true)
     private boolean isAnomaly;
@@ -26,14 +26,13 @@ public final class AnomalyValue {
     private double severity;
 
     /*
-     * Raw anomaly score of severity, will help indicate the degree of abnormality as
-     * well.
+     * Raw anomaly score of severity, to help indicate the degree of abnormality.
      */
     @JsonProperty(value = "score", required = true)
     private double score;
 
     /*
-     * Interpretation of this anomalous timestamp.
+     * Interpretation of this anomalous time stamp.
      */
     @JsonProperty(value = "interpretation")
     private List<AnomalyInterpretation> interpretation;
@@ -56,7 +55,7 @@ private AnomalyValue(
     }
 
     /**
-     * Get the isAnomaly property: True if an anomaly is detected at the current timestamp.
+     * Get the isAnomaly property: True if an anomaly is detected at the current time stamp.
      *
      * @return the isAnomaly value.
      */
@@ -75,7 +74,7 @@ public double getSeverity() {
     }
 
     /**
-     * Get the score property: Raw anomaly score of severity, will help indicate the degree of abnormality as well.
+     * Get the score property: Raw anomaly score of severity, to help indicate the degree of abnormality.
      *
      * @return the score value.
      */
@@ -84,7 +83,7 @@ public double getScore() {
     }
 
     /**
-     * Get the interpretation property: Interpretation of this anomalous timestamp.
+     * Get the interpretation property: Interpretation of this anomalous time stamp.
      *
      * @return the interpretation value.
      */

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/CorrelationChanges.java

@@ -12,7 +12,7 @@
 @Immutable
 public final class CorrelationChanges {
     /*
-     * The correlated variables that have correlation changes under an anomaly.
+     * Correlated variables that have correlation changes under an anomaly.
      */
     @JsonProperty(value = "changedVariables")
     private List<String> changedVariables;
@@ -21,7 +21,7 @@ public final class CorrelationChanges {
     private CorrelationChanges() {}
 
     /**
-     * Get the changedVariables property: The correlated variables that have correlation changes under an anomaly.
+     * Get the changedVariables property: Correlated variables that have correlation changes under an anomaly.
      *
      * @return the changedVariables value.
      */

sdk/anomalydetector/azure-ai-anomalydetector/src/main/java/com/azure/ai/anomalydetector/models/DataSchema.java

@@ -8,18 +8,18 @@
 import com.fasterxml.jackson.annotation.JsonCreator;
 import java.util.Collection;
 
-/** Data schema of input data source: OneTable or MultiTable. The default DataSchema is OneTable. */
+/** Data schema of the input data source. The default is OneTable. */
 public final class DataSchema extends ExpandableStringEnum<DataSchema> {
     /**
-     * OneTable means that your input data are all in one CSV file, which contains one 'timestamp' column and several
-     * variable columns. The default DataSchema is OneTable.
+     * 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.
      */
     public static final DataSchema ONE_TABLE = fromString("OneTable");
 
     /**
-     * MultiTable means that your input data are separated in multiple CSV files, in each file containing one
-     * 'timestamp' column and one 'variable' column, and the CSV file name should indicate the name of the variable. The
-     * default DataSchema is OneTable.
+     * 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.
      */
     public static final DataSchema MULTI_TABLE = fromString("MultiTable");