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    Before You Begin (v3)

    Set up

    To enroll your Google Cloud Project in data logging, follow these steps:

    1. Go to the GCP Console .
      If you don't already have a Google Cloud Project set up, you must create a project .
    2. Go to your project settings for Cloud Talent Solution in the GCP Dashboard . To view navigation, click the hamburger icon in the upper left-hand corner and scroll down to select Talent Solutionunder Artificial Intelligence.

      Select your project from the drop down.
    3. If you don't already have a billing account associated with this Google Cloud Project, you are prompted to first set up a billing account and then link it to this Google Cloud Project. Note that only a person who is the owner of the Google Cloud Project and the owner of the billing account can link them.
      1. Click Enable billing .

        The Enable billing for project dialog box appears.
      2. Click CREATE BILLING ACCOUNT . See Create, Modify, or Close Your Billing Account .
    4. Enable API
      Click ENABLE .

    5. The dashboard page appears.
      Click the DATA LOGGING tab.

    6. The data logging opt-in page appears. Accepting the terms outlined on this page allows you to use the various API features. By not accepting these terms, you'll only be able to use deletion API requests.

      Click ENABLE .

      The confirmation page appears.
    7. Click CONTINUE on the confirmation page.


      The Connect service accounts view appears.

    8. Connect service accounts
      If you already have service accounts created for your Google Cloud project, you'll see a list of them here, otherwise, click MANAGE SERVICE ACCOUNTS . See Creating a service account for instructions.



      When creating the service account, also check the box Furnish a new private key . A new JSON credential file is automatically downloaded. Store this file in a specific location on the server, and follow the instructions to set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to this file. This is an essential step for authenticating requests to Cloud Talent Solution.

    9. After creating the service account, navigate back to the Cloud Talent Solution left-nav tab. The service account you've created now appears. Click CONNECT to link this account to Cloud Talent Solution.

    10. The account is now connected.
      Click DONE to proceed.

    11. You're now ready to begin integrating Cloud Talent Solution into your system.

    12. Set your project id to environment.

      LINUX OR MACOS

       export 
  
 GOOGLE_CLOUD_PROJECT 
 = 
 "your-project-id"

      WINDOWS

      With PowerShell:

       $env 
:GOOGLE_CLOUD_PROJECT = 
 "your-project-id"

      With command prompt:

       set 
  
 GOOGLE_CLOUD_PROJECT 
 = 
 "your-project-id"
    13. Next, go to the Create companies and jobs quickstart, to start integrating Cloud Talent Solution.

    Install Client library

    Java

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

    If you are using Maven, add this to your pom.xml file: 
      
< dependency 
>  
< groupId>com 
 . 
 google 
 . 
 apis 
< / 
 groupId 
>  
< artifactId>google 
 - 
 api 
 - 
 services 
 - 
 jobs 
< / 
 artifactId 
>  
< version>LATEST 
< / 
 version 
>  
< / 
 dependency 
>

    Python

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

    pip install --upgrade google-api-python-client

    Node.js

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

    npm install googleapis

    Go

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

    go get google.golang.org/api/jobs/v3

    Make a request

    Java

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

      private 
  
 static 
  
 final 
  
 JsonFactory 
  
 JSON_FACTORY 
  
 = 
  
 new 
  
 GsonFactory 
 (); 
 private 
  
 static 
  
 final 
  
 NetHttpTransport 
  
 NET_HTTP_TRANSPORT 
  
 = 
  
 new 
  
 NetHttpTransport 
 (); 
 private 
  
 static 
  
 final 
  
 String 
  
 DEFAULT_PROJECT_ID 
  
 = 
  
 "projects/" 
  
 + 
  
 System 
 . 
 getenv 
 ( 
 "GOOGLE_CLOUD_PROJECT" 
 ); 
 private 
  
 static 
  
 CloudTalentSolution 
  
 talentSolutionClient 
  
 = 
  
 createTalentSolutionClient 
 ( 
 generateCredential 
 ()); 
 private 
  
 static 
  
 CloudTalentSolution 
  
 createTalentSolutionClient 
 ( 
 GoogleCredentials 
  
 credential 
 ) 
  
 { 
  
 String 
  
 url 
  
 = 
  
 "https://jobs.googleapis.com" 
 ; 
  
 HttpRequestInitializer 
  
 requestInitializer 
  
 = 
  
 request 
  
 - 
>  
 { 
  
 new 
  
 HttpCredentialsAdapter 
 ( 
 credential 
 ). 
 initialize 
 ( 
 request 
 ); 
  
 request 
 . 
 setConnectTimeout 
 ( 
 60000 
 ); 
  
 // 1 minute connect timeout 
  
 request 
 . 
 setReadTimeout 
 ( 
 60000 
 ); 
  
 // 1 minute read timeout 
  
 }; 
  
 return 
  
 new 
  
 CloudTalentSolution 
 . 
 Builder 
 ( 
 NET_HTTP_TRANSPORT 
 , 
  
 JSON_FACTORY 
 , 
  
 requestInitializer 
 ) 
  
 . 
 setApplicationName 
 ( 
 "JobServiceClientSamples" 
 ) 
  
 . 
 setRootUrl 
 ( 
 url 
 ) 
  
 . 
 build 
 (); 
 } 
 private 
  
 static 
  
 GoogleCredentials 
  
 generateCredential 
 () 
  
 { 
  
 try 
  
 { 
  
 // Credentials could be downloaded after creating service account 
  
 // set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable, for example: 
  
 // export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your/key.json 
  
 return 
  
 GoogleCredentials 
 . 
 getApplicationDefault 
 () 
  
 . 
 createScoped 
 ( 
 Collections 
 . 
 singleton 
 ( 
 CloudTalentSolutionScopes 
 . 
 JOBS 
 )); 
  
 } 
  
 catch 
  
 ( 
 Exception 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Error in generating credential" 
 ); 
  
 throw 
  
 new 
  
 RuntimeException 
 ( 
 e 
 ); 
  
 } 
 } 
 public 
  
 static 
  
 CloudTalentSolution 
  
 getTalentSolutionClient 
 () 
  
 { 
  
 return 
  
 talentSolutionClient 
 ; 
 } 
 public 
  
 static 
  
 void 
  
 main 
 ( 
 String 
 ... 
  
 args 
 ) 
  
 throws 
  
 Exception 
  
 { 
  
 try 
  
 { 
  
 ListCompaniesResponse 
  
 listCompaniesResponse 
  
 = 
  
 talentSolutionClient 
 . 
 projects 
 (). 
 companies 
 (). 
 list 
 ( 
 DEFAULT_PROJECT_ID 
 ). 
 execute 
 (); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Request Id is " 
  
 + 
  
 listCompaniesResponse 
 . 
 getMetadata 
 (). 
 getRequestId 
 ()); 
  
 if 
  
 ( 
 listCompaniesResponse 
 . 
 getCompanies 
 () 
  
 != 
  
 null 
 ) 
  
 { 
  
 for 
  
 ( 
 Company 
  
 company 
  
 : 
  
 listCompaniesResponse 
 . 
 getCompanies 
 ()) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 company 
 . 
 getName 
 ()); 
  
 } 
  
 } 
  
 } 
  
 catch 
  
 ( 
 IOException 
  
 e 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
 "Got exception while listing companies" 
 ); 
  
 throw 
  
 e 
 ; 
  
 } 
 }

    Python

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

      import 
  
 os 
 from 
  
 googleapiclient.discovery 
  
 import 
 build 
 from 
  
 googleapiclient.errors 
  
 import 
 Error 
 client_service 
 = 
 build 
 ( 
 "jobs" 
 , 
 "v3" 
 ) 
 def 
  
 run_sample 
 (): 
 try 
 : 
 project_id 
 = 
 "projects/" 
 + 
 os 
 . 
 environ 
 [ 
 "GOOGLE_CLOUD_PROJECT" 
 ] 
 response 
 = 
 ( 
 client_service 
 . 
 projects 
 () 
 . 
 companies 
 () 
 . 
 list 
 ( 
 parent 
 = 
 project_id 
 ) 
 . 
 execute 
 () 
 ) 
 print 
 ( 
 "Request Id: 
 %s 
 " 
 % 
 response 
 . 
 get 
 ( 
 "metadata" 
 ) 
 . 
 get 
 ( 
 "requestId" 
 )) 
 print 
 ( 
 "Companies:" 
 ) 
 if 
 response 
 . 
 get 
 ( 
 "companies" 
 ) 
 is 
 not 
 None 
 : 
 for 
 company 
 in 
 response 
 . 
 get 
 ( 
 "companies" 
 ): 
 print 
 ( 
 " 
 %s 
 " 
 % 
 company 
 . 
 get 
 ( 
 "name" 
 )) 
 print 
 ( 
 "" 
 ) 
 except 
 Error 
 as 
 e 
 : 
 print 
 ( 
 "Got exception while listing companies" 
 ) 
 raise 
 e 
 if 
 __name__ 
 == 
 "__main__" 
 : 
 run_sample 
 ()

    Go

    For more on installing and creating a Cloud Talent Solution client, see Cloud Talent Solution Client Libraries .

      // Command quickstart is an example of using the Google Cloud Talent Solution API. 
 package 
  
 main 
 import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "log" 
  
 "os" 
  
 "golang.org/x/oauth2/google" 
  
 talent 
  
 "google.golang.org/api/jobs/v3" 
 ) 
 func 
  
 main 
 () 
  
 { 
  
 projectID 
  
 := 
  
 os 
 . 
 Getenv 
 ( 
 "GOOGLE_CLOUD_PROJECT" 
 ) 
  
 parent 
  
 := 
  
 fmt 
 . 
 Sprintf 
 ( 
 "projects/%s" 
 , 
  
 projectID 
 ) 
  
 // Authorize the client using Application Default Credentials. 
  
 // See https://g.co/dv/identity/protocols/application-default-credentials 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 google 
 . 
 DefaultClient 
 ( 
 ctx 
 , 
  
 talent 
 . 
 CloudPlatformScope 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatal 
 ( 
 err 
 ) 
  
 } 
  
 // Create the jobs service client. 
  
 ctsService 
 , 
  
 err 
  
 := 
  
 talent 
 . 
 New 
 ( 
 client 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatal 
 ( 
 err 
 ) 
  
 } 
  
 // Make the RPC call. 
  
 response 
 , 
  
 err 
  
 := 
  
 ctsService 
 . 
 Projects 
 . 
 Companies 
 . 
 List 
 ( 
 parent 
 ). 
 Do 
 () 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 log 
 . 
 Fatalf 
 ( 
 "Failed to list Companies: %v" 
 , 
  
 err 
 ) 
  
 } 
  
 // Print the request id. 
  
 fmt 
 . 
 Printf 
 ( 
 "Request ID: %q\n" 
 , 
  
 response 
 . 
 Metadata 
 . 
 RequestId 
 ) 
  
 // Print the returned companies. 
  
 for 
  
 _ 
 , 
  
 company 
  
 := 
  
 range 
  
 response 
 . 
 Companies 
  
 { 
  
 fmt 
 . 
 Printf 
 ( 
 "Company: %q\n" 
 , 
  
 company 
 . 
 Name 
 ) 
  
 } 
 }
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