feat: add additional entity types

protos/google/cloud/language/v1/language_service.proto

@@ -1,4 +1,4 @@
-// Copyright 2017 Google Inc.
+// Copyright 2019 Google LLC.
 //
 // Licensed under the Apache License, Version 2.0 (the "License");
 // you may not use this file except in compliance with the License.
@@ -11,6 +11,7 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
+//
 
 syntax = "proto3";
 
@@ -170,6 +171,21 @@ message Entity {
 
     // Other types
     OTHER = 7;
+
+    // Phone number
+    PHONE_NUMBER = 9;
+
+    // Address
+    ADDRESS = 10;
+
+    // Date
+    DATE = 11;
+
+    // Number
+    NUMBER = 12;
+
+    // Price
+    PRICE = 13;
   }
 
   // The representative name for the entity.
@@ -203,6 +219,32 @@ message Entity {
   Sentiment sentiment = 6;
 }
 
+// Represents the text encoding that the caller uses to process the output.
+// Providing an `EncodingType` is recommended because the API provides the
+// beginning offsets for various outputs, such as tokens and mentions, and
+// languages that natively use different text encodings may access offsets
+// differently.
+enum EncodingType {
+  // If `EncodingType` is not specified, encoding-dependent information (such as
+  // `begin_offset`) will be set at `-1`.
+  NONE = 0;
+
+  // Encoding-dependent information (such as `begin_offset`) is calculated based
+  // on the UTF-8 encoding of the input. C++ and Go are examples of languages
+  // that use this encoding natively.
+  UTF8 = 1;
+
+  // Encoding-dependent information (such as `begin_offset`) is calculated based
+  // on the UTF-16 encoding of the input. Java and JavaScript are examples of
+  // languages that use this encoding natively.
+  UTF16 = 2;
+
+  // Encoding-dependent information (such as `begin_offset`) is calculated based
+  // on the UTF-32 encoding of the input. Python is an example of a language
+  // that uses this encoding natively.
+  UTF32 = 3;
+}
+
 // Represents the smallest syntactic building block of the text.
 message Token {
   // The token text.
@@ -870,7 +912,8 @@ message TextSpan {
 
 // Represents a category returned from the text classifier.
 message ClassificationCategory {
-  // The name of the category representing the document.
+  // The name of the category representing the document, from the [predefined
+  // taxonomy](/natural-language/docs/categories).
   string name = 1;
 
   // The classifier's confidence of the category. Number represents how certain
@@ -1041,29 +1084,3 @@ message AnnotateTextResponse {
   // Categories identified in the input document.
   repeated ClassificationCategory categories = 6;
 }
-
-// Represents the text encoding that the caller uses to process the output.
-// Providing an `EncodingType` is recommended because the API provides the
-// beginning offsets for various outputs, such as tokens and mentions, and
-// languages that natively use different text encodings may access offsets
-// differently.
-enum EncodingType {
-  // If `EncodingType` is not specified, encoding-dependent information (such as
-  // `begin_offset`) will be set at `-1`.
-  NONE = 0;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-8 encoding of the input. C++ and Go are examples of languages
-  // that use this encoding natively.
-  UTF8 = 1;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-16 encoding of the input. Java and Javascript are examples of
-  // languages that use this encoding natively.
-  UTF16 = 2;
-
-  // Encoding-dependent information (such as `begin_offset`) is calculated based
-  // on the UTF-32 encoding of the input. Python is an example of a language
-  // that uses this encoding natively.
-  UTF32 = 3;
-}

src/v1/doc/google/cloud/language/v1/doc_language_service.js

@@ -194,7 +194,32 @@ const Entity = {
     /**
      * Other types
      */
-    OTHER: 7
+    OTHER: 7,
+
+    /**
+     * Phone number
+     */
+    PHONE_NUMBER: 9,
+
+    /**
+     * Address
+     */
+    ADDRESS: 10,
+
+    /**
+     * Date
+     */
+    DATE: 11,
+
+    /**
+     * Number
+     */
+    NUMBER: 12,
+
+    /**
+     * Price
+     */
+    PRICE: 13
   }
 };
 
@@ -1373,7 +1398,8 @@ const TextSpan = {
  * Represents a category returned from the text classifier.
  *
  * @property {string} name
- *   The name of the category representing the document.
+ *   The name of the category representing the document, from the [predefined
+ *   taxonomy](https://cloud.google.com/natural-language/docs/categories).
  *
  * @property {number} confidence
  *   The classifier's confidence of the category. Number represents how certain
@@ -1730,7 +1756,7 @@ const EncodingType = {
 
   /**
    * Encoding-dependent information (such as `begin_offset`) is calculated based
-   * on the UTF-16 encoding of the input. Java and Javascript are examples of
+   * on the UTF-16 encoding of the input. Java and JavaScript are examples of
    * languages that use this encoding natively.
    */
   UTF16: 2,

src/v1/language_service_client.js

@@ -165,7 +165,10 @@ class LanguageServiceClient {
    * in this service.
    */
   static get scopes() {
-    return ['https://www.googleapis.com/auth/cloud-platform'];
+    return [
+      'https://www.googleapis.com/auth/cloud-language',
+      'https://www.googleapis.com/auth/cloud-platform',
+    ];
   }
 
   /**

src/v1/language_service_client_config.json

@@ -13,40 +13,40 @@
           "initial_retry_delay_millis": 100,
           "retry_delay_multiplier": 1.3,
           "max_retry_delay_millis": 60000,
-          "initial_rpc_timeout_millis": 60000,
+          "initial_rpc_timeout_millis": 20000,
           "rpc_timeout_multiplier": 1.0,
-          "max_rpc_timeout_millis": 60000,
+          "max_rpc_timeout_millis": 20000,
           "total_timeout_millis": 600000
         }
       },
       "methods": {
         "AnalyzeSentiment": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         },
         "AnalyzeEntities": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         },
         "AnalyzeEntitySentiment": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         },
         "AnalyzeSyntax": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         },
         "ClassifyText": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         },
         "AnnotateText": {
-          "timeout_millis": 30000,
+          "timeout_millis": 60000,
           "retry_codes_name": "idempotent",
           "retry_params_name": "default"
         }

synth.metadata

@@ -1,19 +1,19 @@
 {
-  "updateTime": "2019-03-12T11:17:30.419888Z",
+  "updateTime": "2019-03-22T11:16:51.183804Z",
   "sources": [
     {
       "generator": {
         "name": "artman",
-        "version": "0.16.16",
-        "dockerImage": "googleapis/artman@sha256:30babbfce7f05a62b1892c63c575aa2c8c502eb4bcc8f3bb90ec83e955d5d319"
+        "version": "0.16.18",
+        "dockerImage": "googleapis/artman@sha256:e8ac9200640e76d54643f370db71a1556bf254f565ce46b45a467bbcbacbdb37"
       }
     },
     {
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "abd1c9a99c5cd7179d8e5e0c8d4c8e761054cc78",
-        "internalRef": "237945492"
+        "sha": "e2a116ac081210002ec2e634f1f840a453ebd182",
+        "internalRef": "239695990"
       }
     },
     {