chore: re-arrange exports. (#121)

Author: yoshi-automation

packages/google-cloud-automl/src/v1beta1/index.js

@@ -14,8 +14,8 @@
 
 'use strict';
 
-const PredictionServiceClient = require('./prediction_service_client');
 const AutoMlClient = require('./auto_ml_client');
+const PredictionServiceClient = require('./prediction_service_client');
 
-module.exports.PredictionServiceClient = PredictionServiceClient;
 module.exports.AutoMlClient = AutoMlClient;
+module.exports.PredictionServiceClient = PredictionServiceClient;

packages/google-cloud-automl/synth.metadata

@@ -1,19 +1,19 @@
 {
-  "updateTime": "2019-01-17T12:54:55.387640Z",
+  "updateTime": "2019-01-30T12:07:46.449548Z",
   "sources": [
     {
       "generator": {
         "name": "artman",
-        "version": "0.16.6",
-        "dockerImage": "googleapis/artman@sha256:12722f2ca3fbc3b53cc6aa5f0e569d7d221b46bd876a2136497089dec5e3634e"
+        "version": "0.16.7",
+        "dockerImage": "googleapis/artman@sha256:d6c8ced606eb49973ca95d2af7c55a681acc042db0f87d135968349e7bf6dd80"
       }
     },
     {
       "git": {
         "name": "googleapis",
         "remote": "https://github.com/googleapis/googleapis.git",
-        "sha": "0ac60e21a1aa86c07c1836865b35308ba8178b05",
-        "internalRef": "229626798"
+        "sha": "f0195b40fd5f5f412e6819ac01df08cedb8e5fd7",
+        "internalRef": "231440809"
       }
     },
     {

packages/google-cloud-automl/test/gapic-v1beta1.js

@@ -22,76 +22,6 @@ const FAKE_STATUS_CODE = 1;
 const error = new Error();
 error.code = FAKE_STATUS_CODE;
 
-describe('PredictionServiceClient', () => {
-  describe('predict', () => {
-    it('invokes predict without error', done => {
-      const client = new automlModule.v1beta1.PredictionServiceClient({
-        credentials: {client_email: 'bogus', private_key: 'bogus'},
-        projectId: 'bogus',
-      });
-
-      // Mock request
-      const formattedName = client.modelPath(
-        '[PROJECT]',
-        '[LOCATION]',
-        '[MODEL]'
-      );
-      const payload = {};
-      const request = {
-        name: formattedName,
-        payload: payload,
-      };
-
-      // Mock response
-      const expectedResponse = {};
-
-      // Mock Grpc layer
-      client._innerApiCalls.predict = mockSimpleGrpcMethod(
-        request,
-        expectedResponse
-      );
-
-      client.predict(request, (err, response) => {
-        assert.ifError(err);
-        assert.deepStrictEqual(response, expectedResponse);
-        done();
-      });
-    });
-
-    it('invokes predict with error', done => {
-      const client = new automlModule.v1beta1.PredictionServiceClient({
-        credentials: {client_email: 'bogus', private_key: 'bogus'},
-        projectId: 'bogus',
-      });
-
-      // Mock request
-      const formattedName = client.modelPath(
-        '[PROJECT]',
-        '[LOCATION]',
-        '[MODEL]'
-      );
-      const payload = {};
-      const request = {
-        name: formattedName,
-        payload: payload,
-      };
-
-      // Mock Grpc layer
-      client._innerApiCalls.predict = mockSimpleGrpcMethod(
-        request,
-        null,
-        error
-      );
-
-      client.predict(request, (err, response) => {
-        assert(err instanceof Error);
-        assert.strictEqual(err.code, FAKE_STATUS_CODE);
-        assert(typeof response === 'undefined');
-        done();
-      });
-    });
-  });
-});
 describe('AutoMlClient', () => {
   describe('createDataset', () => {
     it('invokes createDataset without error', done => {
@@ -1215,6 +1145,76 @@ describe('AutoMlClient', () => {
     });
   });
 });
+describe('PredictionServiceClient', () => {
+  describe('predict', () => {
+    it('invokes predict without error', done => {
+      const client = new automlModule.v1beta1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+
+      // Mock request
+      const formattedName = client.modelPath(
+        '[PROJECT]',
+        '[LOCATION]',
+        '[MODEL]'
+      );
+      const payload = {};
+      const request = {
+        name: formattedName,
+        payload: payload,
+      };
+
+      // Mock response
+      const expectedResponse = {};
+
+      // Mock Grpc layer
+      client._innerApiCalls.predict = mockSimpleGrpcMethod(
+        request,
+        expectedResponse
+      );
+
+      client.predict(request, (err, response) => {
+        assert.ifError(err);
+        assert.deepStrictEqual(response, expectedResponse);
+        done();
+      });
+    });
+
+    it('invokes predict with error', done => {
+      const client = new automlModule.v1beta1.PredictionServiceClient({
+        credentials: {client_email: 'bogus', private_key: 'bogus'},
+        projectId: 'bogus',
+      });
+
+      // Mock request
+      const formattedName = client.modelPath(
+        '[PROJECT]',
+        '[LOCATION]',
+        '[MODEL]'
+      );
+      const payload = {};
+      const request = {
+        name: formattedName,
+        payload: payload,
+      };
+
+      // Mock Grpc layer
+      client._innerApiCalls.predict = mockSimpleGrpcMethod(
+        request,
+        null,
+        error
+      );
+
+      client.predict(request, (err, response) => {
+        assert(err instanceof Error);
+        assert.strictEqual(err.code, FAKE_STATUS_CODE);
+        assert(typeof response === 'undefined');
+        done();
+      });
+    });
+  });
+});
 
 function mockSimpleGrpcMethod(expectedRequest, response, error) {
   return function(actualRequest, options, callback) {