Configuração para acesso total

Esta página descreve as etapas básicas necessárias para configurar sua conta para testar a API Timeseries Insights usando a curl.

Este é um guia para configurar um projeto com o papel de proprietário do conjunto de dados dos insights de série temporal (roles/timeseriesinsights.datasetsOwner), que permite criar e excluir conjuntos de dados.

Antes de começar

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
2. Install the Google Cloud CLI.

3. To initialize the gcloud CLI, run the following command:

   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. Enable the Timeseries Insights API:

   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. Install the Google Cloud CLI.

8. To initialize the gcloud CLI, run the following command:

   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. Enable the Timeseries Insights API:

    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

Testar com curl

1. Defina um alias prático para o shell para chamar as APIs REST do Google:

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

2. Defina uma variável de ambiente PROJECT_ID com o identificador do projeto:

   PROJECT_ID="my-project-id"
   

3. Liste as APIs e os serviços ativados neste projeto:

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

   Se nenhum erro for exibido, a configuração foi concluída.

Próximas etapas

Siga o tutorial para saber mais sobre a API.