Configurazione dell'accesso completo

In questa pagina vengono descritti i passaggi di base necessari per configurare l'ambiente locale per sperimentare l'API Timeseries Insights utilizzando il comando curl.

Questa è una guida per configurare un progetto con il ruolo Proprietario set di dati insight serie temporali (roles/timeseriesinsights.datasetsOwner), che consente di creare ed eliminare set di dati.

Prima di iniziare

1. Accedi al tuo account Google Cloud. Se non conosci Google Cloud, crea un account per valutare le prestazioni dei nostri prodotti in scenari reali. I nuovi clienti ricevono anche 300 $di crediti gratuiti per l'esecuzione, il test e il deployment dei carichi di lavoro.
2. Installa Google Cloud CLI.

3. Per initialize gcloud CLI, esegui questo comando:

   gcloud init

4. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

5. Attiva l'API Timeseries Insights.

   gcloud services enable timeseriesinsights.googleapis.com

6. Set up authentication:

   1. Create the service account:

      gcloud iam service-accounts create SERVICE_ACCOUNT_NAME

      Replace SERVICE_ACCOUNT_NAME with a name for the service account.

   2. Grant the roles/timeseriesinsights.datasetsOwner IAM role to the service account:

      gcloud projects add-iam-policy-binding PROJECT_ID --member="serviceAccount:SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com" --role=roles/timeseriesinsights.datasetsOwner

      Replace the following:

      • SERVICE_ACCOUNT_NAME: the name of the service account
      • PROJECT_ID: the project ID where you created the service account
      Note: The --role flag affects which resources the service account can access in your project. You can revoke these roles or grant additional roles later. In production environments, do not grant the Owner, Editor, or Viewer roles. Instead, grant a predefined role or custom role that meets your needs.

   3. Grant the required role to the principal that will create the access tokens for the service account.

      gcloud iam service-accounts add-iam-policy-binding SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com --member="user:USER_EMAIL" --role=roles/iam.serviceAccountTokenCreator

      Replace the following:

      • SERVICE_ACCOUNT_NAME: the name of the service account
      • PROJECT_ID: the project ID where you created the service account
      • USER_EMAIL: the email address for a Google Account
7. Installa Google Cloud CLI.

8. Per initialize gcloud CLI, esegui questo comando:

   gcloud init

9. Create or select a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   • Create a Google Cloud project:

     gcloud projects create PROJECT_ID

     Replace PROJECT_ID with a name for the Google Cloud project you are creating.

   • Select the Google Cloud project that you created:

     gcloud config set project PROJECT_ID

     Replace PROJECT_ID with your Google Cloud project name.

10. Attiva l'API Timeseries Insights.

    gcloud services enable timeseriesinsights.googleapis.com

11. Set up authentication:

    1. Create the service account:

       gcloud iam service-accounts create SERVICE_ACCOUNT_NAME

       Replace SERVICE_ACCOUNT_NAME with a name for the service account.

    2. Grant the roles/timeseriesinsights.datasetsOwner IAM role to the service account:

       gcloud projects add-iam-policy-binding PROJECT_ID --member="serviceAccount:SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com" --role=roles/timeseriesinsights.datasetsOwner

       Replace the following:

       • SERVICE_ACCOUNT_NAME: the name of the service account
       • PROJECT_ID: the project ID where you created the service account
       Note: The --role flag affects which resources the service account can access in your project. You can revoke these roles or grant additional roles later. In production environments, do not grant the Owner, Editor, or Viewer roles. Instead, grant a predefined role or custom role that meets your needs.

    3. Grant the required role to the principal that will create the access tokens for the service account.

       gcloud iam service-accounts add-iam-policy-binding SERVICE_ACCOUNT_NAME@PROJECT_ID.iam.gserviceaccount.com --member="user:USER_EMAIL" --role=roles/iam.serviceAccountTokenCreator

       Replace the following:

       • SERVICE_ACCOUNT_NAME: the name of the service account
       • PROJECT_ID: the project ID where you created the service account
       • USER_EMAIL: the email address for a Google Account

Testa con curl

1. Definisci un pratico alias shell per chiamare le API REST di Google:

   alias gcurl='curl -H "Authorization: Bearer $(gcloud auth print-access-token --impersonate-service-account=SERVICE_ACCOUNT_EMAIL)" -H "Content-Type: application/json"'
   

2. Imposta una variabile di ambiente PROJECT_ID con l'identificatore del progetto:

   PROJECT_ID="my-project-id"
   

3. Elenca le API e i servizi abilitati in questo progetto:

   gcurl "https://timeseriesinsights.googleapis.com/v1/projects/${PROJECT_ID}/datasets"
   

   Se non vedi alcun errore, significa che la configurazione è stata eseguita correttamente.

Passaggi successivi

Segui il tutorial per scoprire di più sull'API.