设置完整访问权限

本页介绍了通过使用 curl 命令的 Timeseries Insights API 设置本地环境以进行试验所必需的基本步骤。

本指南介绍了如何使用 Timeseries Insights 设置项目 数据集所有者角色 (roles/timeseriesinsights.datasetsOwner),允许您 创建和删除数据集的权限。

准备工作

  1. 登录您的 Google Cloud 账号。如果您是 Google Cloud 新手,请创建一个账号来评估我们的产品在实际场景中的表现。新客户还可获享 $300 赠金,用于运行、测试和部署工作负载。
  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.

    • 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
    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.

    • 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
    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

用 curl 进行测试

  1. 为调用 Google REST API 定义一个方便的 shell 别名:

    alias gcurl='curl -H "Authorization: Bearer $(gcloud auth print-access-token --impersonate-service-account=SERVICE_ACCOUNT_EMAIL)" -H "Content-Type: application/json"'
  2. 使用项目的标识符设置环境变量 PROJECT_ID

    PROJECT_ID="my-project-id"
    
  3. 列出此项目中已启用的 API 和服务:

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

    如果您没有看到错误,则表示设置成功。

后续步骤

按照教程中的说明了解该 API。