Api-roll 39: 2016-07-18

generated/googleapis/lib/bigquery/v2.dart

 // This is a generated file (see the discoveryapis_generator project).
 
 library googleapis.bigquery.v2;
 
 import 'dart:core' as core;
 import 'dart:collection' as collection;
 import 'dart:async' as async;
 import 'dart:convert' as convert;
 
 import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
@@ skipping 193 matching lines @@
   /**
    * Lists all datasets in the specified project to which you have been granted
    * the READER dataset role.
    *
    * Request parameters:
    *
    * [projectId] - Project ID of the datasets to be listed
    *
    * [all] - Whether to list all datasets, including hidden ones
    *
+   * [filter] - An expression for filtering the results of the request by label.
+   * The syntax is "labels.[:]". Multiple filters can be ANDed together by
+   * connecting with a space. Example: "labels.department:receiving
+   * labels.active". See
+   * https://cloud.google.com/bigquery/docs/labeling-datasets#filtering_datasets_using_labels
+   * for details.
+   *
    * [maxResults] - The maximum number of results to return
    *
    * [pageToken] - Page token, returned by a previous call, to request the next
    * page of results
    *
    * Completes with a [DatasetList].
    *
    * Completes with a [commons.ApiRequestError] if the API endpoint returned an
    * error.
    *
    * If the used [http.Client] completes with an error when making a REST call,
    * this method will complete with the same error.
    */
-  async.Future<DatasetList> list(core.String projectId, {core.bool all, core.int maxResults, core.String pageToken}) {
+  async.Future<DatasetList> list(core.String projectId, {core.bool all, core.String filter, core.int maxResults, core.String pageToken}) {
     var _url = null;
     var _queryParams = new core.Map();
     var _uploadMedia = null;
     var _uploadOptions = null;
     var _downloadOptions = commons.DownloadOptions.Metadata;
     var _body = null;
 
     if (projectId == null) {
       throw new core.ArgumentError("Parameter projectId is required.");
     }
     if (all != null) {
       _queryParams["all"] = ["${all}"];
     }
+    if (filter != null) {
+      _queryParams["filter"] = [filter];
+    }
     if (maxResults != null) {
       _queryParams["maxResults"] = ["${maxResults}"];
     }
     if (pageToken != null) {
       _queryParams["pageToken"] = [pageToken];
     }
 
     _url = 'projects/' + commons.Escaper.ecapeVariable('$projectId') + '/datasets';
 
     var _response = _requester.request(_url,
@@ skipping 1403 matching lines @@
   /**
    * [Output-only] The fully-qualified unique name of the dataset in the format
    * projectId:datasetId. The dataset name without the project name is given in
    * the datasetId field. When creating a new dataset, leave this field blank,
    * and instead specify the datasetId field.
    */
   core.String id;
   /** [Output-only] The resource type. */
   core.String kind;
   /**
+   * [Experimental] The labels associated with this dataset. You can use these
+   * to organize and group your datasets. You can set this property when
+   * inserting or updating a dataset. Label keys and values can be no longer
+   * than 63 characters, can only contain letters, numeric characters,
+   * underscores and dashes. International characters are allowed. Label values
+   * are optional. Label keys must start with a letter and must be unique within
+   * a dataset. Both keys and values are additionally constrained to be <= 128
+   * bytes in size.
+   */
+  core.Map<core.String, core.String> labels;
+  /**
    * [Output-only] The date when this dataset or any of its tables was last
    * modified, in milliseconds since the epoch.
    */
   core.String lastModifiedTime;
   /**
    * [Experimental] The geographic location where the dataset should reside.
    * Possible values include EU and US. The default value is US.
    */
   core.String location;
   /**
@@ skipping 25 matching lines @@
     }
     if (_json.containsKey("friendlyName")) {
       friendlyName = _json["friendlyName"];
     }
     if (_json.containsKey("id")) {
       id = _json["id"];
     }
     if (_json.containsKey("kind")) {
       kind = _json["kind"];
     }
+    if (_json.containsKey("labels")) {
+      labels = _json["labels"];
+    }
     if (_json.containsKey("lastModifiedTime")) {
       lastModifiedTime = _json["lastModifiedTime"];
     }
     if (_json.containsKey("location")) {
       location = _json["location"];
     }
     if (_json.containsKey("selfLink")) {
       selfLink = _json["selfLink"];
     }
   }
@@ skipping 20 matching lines @@
     }
     if (friendlyName != null) {
       _json["friendlyName"] = friendlyName;
     }
     if (id != null) {
       _json["id"] = id;
     }
     if (kind != null) {
       _json["kind"] = kind;
     }
+    if (labels != null) {
+      _json["labels"] = labels;
+    }
     if (lastModifiedTime != null) {
       _json["lastModifiedTime"] = lastModifiedTime;
     }
     if (location != null) {
       _json["location"] = location;
     }
     if (selfLink != null) {
       _json["selfLink"] = selfLink;
     }
     return _json;
   }
 }
 
 class DatasetListDatasets {
   /**
    * The dataset reference. Use this property to access specific parts of the
    * dataset's ID, such as project ID or dataset ID.
    */
   DatasetReference datasetReference;
   /** A descriptive name for the dataset, if one exists. */
   core.String friendlyName;
   /** The fully-qualified, unique, opaque ID of the dataset. */
   core.String id;
   /**
    * The resource type. This property always returns the value
    * "bigquery#dataset".
    */
   core.String kind;
+  /**
+   * [Experimental] The labels associated with this dataset. You can use these
+   * to organize and group your datasets.
+   */
+  core.Map<core.String, core.String> labels;
 
   DatasetListDatasets();
 
   DatasetListDatasets.fromJson(core.Map _json) {
     if (_json.containsKey("datasetReference")) {
       datasetReference = new DatasetReference.fromJson(_json["datasetReference"]);
     }
     if (_json.containsKey("friendlyName")) {
       friendlyName = _json["friendlyName"];
     }
     if (_json.containsKey("id")) {
       id = _json["id"];
     }
     if (_json.containsKey("kind")) {
       kind = _json["kind"];
     }
+    if (_json.containsKey("labels")) {
+      labels = _json["labels"];
+    }
   }
 
   core.Map toJson() {
     var _json = new core.Map();
     if (datasetReference != null) {
       _json["datasetReference"] = (datasetReference).toJson();
     }
     if (friendlyName != null) {
       _json["friendlyName"] = friendlyName;
     }
     if (id != null) {
       _json["id"] = id;
     }
     if (kind != null) {
       _json["kind"] = kind;
     }
+    if (labels != null) {
+      _json["labels"] = labels;
+    }
     return _json;
   }
 }
 
 class DatasetList {
   /**
    * An array of the dataset resources in the project. Each resource contains
    * basic information. For full information about a particular dataset
    * resource, use the Datasets: get method. This property is omitted when there
    * are no datasets in the project.
@@ skipping 3092 matching lines @@
     }
     if (useLegacySql != null) {
       _json["useLegacySql"] = useLegacySql;
     }
     if (userDefinedFunctionResources != null) {
       _json["userDefinedFunctionResources"] = userDefinedFunctionResources.map((value) => (value).toJson()).toList();
     }
     return _json;
   }
 }