Api roll 3: 2014-10-08

generated/googleapis/lib/doubleclicksearch/v2.dart

 library googleapis.doubleclicksearch.v2;
 
 import "dart:core" as core;
 import "dart:collection" as collection;
 import "dart:async" as async;
 import "dart:convert" as convert;
 
 import "package:crypto/crypto.dart" as crypto;
 import 'package:http/http.dart' as http;
 import '../src/common_internal.dart' as common_internal;
@@ skipping 1161 matching lines @@
 /** A request object used to create a DoubleClick Search report. */
 class ReportApiColumnSpec {
   /** Name of a DoubleClick Search column to include in the report. */
   core.String columnName;
 
   /**
    * Segments a report by a custom dimension. The report must be scoped to an
    * advertiser or lower, and the custom dimension must already be set up in
    * DoubleClick Search. The custom dimension name, which appears in DoubleClick
    * Search, is case sensitive.
+   * If used in a conversion report, returns the value of the specified custom
+   * dimension for the given conversion, if set. This column does not segment
+   * the conversion report.
    */
   core.String customDimensionName;
 
   /**
+   * Reports on the provided custom metric. The report must be scoped to an
+   * advertiser or lower, and the custom metric must already be set up in
+   * DoubleClick Search. The custom metric name, which appears in DoubleClick
+   * Search, is case sensitive.
+   */
+  core.String customMetricName;
+
+  /**
    * Inclusive day in YYYY-MM-DD format. When provided, this overrides the
    * overall time range of the report for this column only. Must be provided
    * together with startDate.
    */
   core.String endDate;
 
   /**
    * Synchronous report only. Set to true to group by this column. Defaults to
    * false.
    */
@@ skipping 30 matching lines @@
 
   ReportApiColumnSpec();
 
   ReportApiColumnSpec.fromJson(core.Map _json) {
     if (_json.containsKey("columnName")) {
       columnName = _json["columnName"];
     }
     if (_json.containsKey("customDimensionName")) {
       customDimensionName = _json["customDimensionName"];
     }
+    if (_json.containsKey("customMetricName")) {
+      customMetricName = _json["customMetricName"];
+    }
     if (_json.containsKey("endDate")) {
       endDate = _json["endDate"];
     }
     if (_json.containsKey("groupByColumn")) {
       groupByColumn = _json["groupByColumn"];
     }
     if (_json.containsKey("headerText")) {
       headerText = _json["headerText"];
     }
     if (_json.containsKey("platformSource")) {
       platformSource = _json["platformSource"];
     }
     if (_json.containsKey("savedColumnName")) {
       savedColumnName = _json["savedColumnName"];
     }
     if (_json.containsKey("startDate")) {
       startDate = _json["startDate"];
     }
   }
 
   core.Map toJson() {
     var _json = new core.Map();
     if (columnName != null) {
       _json["columnName"] = columnName;
     }
     if (customDimensionName != null) {
       _json["customDimensionName"] = customDimensionName;
     }
+    if (customMetricName != null) {
+      _json["customMetricName"] = customMetricName;
+    }
     if (endDate != null) {
       _json["endDate"] = endDate;
     }
     if (groupByColumn != null) {
       _json["groupByColumn"] = groupByColumn;
     }
     if (headerText != null) {
       _json["headerText"] = headerText;
     }
     if (platformSource != null) {
@@ skipping 601 matching lines @@
   core.Map toJson() {
     var _json = new core.Map();
     if (availabilities != null) {
       _json["availabilities"] = availabilities.map((value) => (value).toJson()).toList();
     }
     return _json;
   }
 }