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部署和取消部署应用

创建应用后，您必须部署该应用，才能流式传输和分析数据。

部署应用

构建包含所有必要组件的端到端应用后，您必须部署该应用才能开始使用它。

控制台

打开 Gemini Enterprise Agent Platform Vision 信息中心的应用标签页。

进入“应用”标签页
从列表中选择应用名称旁边的查看应用 。
在应用图表构建器页面中，点击部署按钮。
在随即打开的部署应用 菜单中，选择任意选项，然后点击部署。

注意：如需详细了解 启用输出流式传输 选项，请参阅启用直播输出。如需详细了解 为此应用启用监控 选项，请参阅启用和使用应用监控。

部署完成后，节点旁边会显示绿色对勾标记。

REST 和命令行

如需部署应用以供使用，请使用 projects.locations.applications.deploy方法发送 POST 请求。

在使用任何请求数据之前，请先进行以下替换：

PROJECT：您的 Google Cloud 项目 ID 或项目编号。
LOCATION_ID：您使用 Agent Platform Vision 的区域。例如：us-central1、europe-west4。请参阅可用区域。
APPLICATION_ID：目标应用的 ID。

HTTP 方法和网址：

POST https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:deploy

如需发送请求，请选择以下方式之一：

curl

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI，或者使用了 Cloud Shell，这会使您自动登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d "" \
     "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:deploy"

PowerShell

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -Uri "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:deploy" | Select-Object -Expand Content

如果成功，该请求会启动长时间运行的操作，并返回一个包含操作 ID 的 JSON 对象。

{
  "name": "projects/PROJECT_ID/locations/LOCATION_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.OperationMetadata",
    "createTime": "YYYY-MM-DDTHH:MM:SS.454506987Z",
    "target": "projects/PROJECT_ID/locations/LOCATION_ID/applications/APPLICATION_ID",
    "verb": "update",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

获取操作状态

使用响应中的操作 ID 获取部署请求的状态。

在使用任何请求数据之前，请先进行以下替换：

REGIONALIZED_ENDPOINT：端点可能包含与 LOCATION_ID 匹配的前缀，例如 europe-west4-。详细了解区域化端点。
PROJECT_NUMBER：您的 Google Cloud 项目编号。
LOCATION_ID：您使用 Agent Platform Vision 的区域。例如：us-central1、europe-west4。请参阅可用区域。
OPERATION_ID：启动长时间运行的操作时返回的操作 ID。例如：
- projects/123456/locations/us-central1/[...]/operations/OPERATION_ID

HTTP 方法和网址：

GET https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID

如需发送请求，请选择以下方式之一：

curl

执行以下命令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID"

PowerShell

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应：

响应

{
  "name": "projects/PROJECT_ID/locations/LOCATION_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.OperationMetadata",
    "createTime": "2023-01-12T17:53:14.454506987Z",
    "endTime": "2023-01-12T17:53:22.979720545Z",
    "target": "projects/PROJECT_ID/locations/LOCATION_ID/applications/APPLICATION_NAME",
    "verb": "update",
    "statusMessage": "Instance Deployment Pending....",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.Application",
    "name": "projects/PROJECT_ID/locations/LOCATION_ID/applications/APPLICATION_NAME",
    "createTime": "2023-01-06T21:16:26.465867295Z",
    "updateTime": "2023-01-12T17:53:14.458441937Z",
    "displayName": "APPLICATION_NAME",
    "applicationConfigs": {
      "nodes": [
        {
          "name": "builtin-input-stream",
          "displayName": "Streams",
          "nodeConfig": {
            "videoStreamInputConfig": {}
          },
          "processor": "builtin:stream-input",
          "outputAllOutputChannelsToStream": false
        },
        {
          "name": "builtin-general-object-detector",
          "displayName": "Object detector",
          "nodeConfig": {
            "generalObjectDetectionConfig": {}
          },
          "processor": "builtin:general-object-detector",
          "parents": [
            {
              "parentNode": "builtin-input-stream"
            }
          ],
          "outputAllOutputChannelsToStream": false
        },
        {
          "name": "builtin-media-warehouse",
          "displayName": "Vision AI Warehouse",
          "nodeConfig": {
            "mediaWarehouseConfig": {
              "corpus": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID"
            }
          },
          "processor": "builtin:media-warehouse",
          "parents": [
            {
              "parentNode": "builtin-input-stream"
            },
            {
              "parentNode": "builtin-general-object-detector"
            }
          ],
          "outputAllOutputChannelsToStream": false
        }
      ]
    },
    "runtimeInfo": {
      "deployTime": "2023-01-12T17:53:22.887918Z",
      "globalOutputResources": [
        {
          "outputResource": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID/dataSchemas/stream-resource-name",
          "key": "stream-resource-name"
        },
        {
          "outputResource": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID/dataSchemas/stream-display-name",
          "key": "stream-display-name"
        },
        {
          "outputResource": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID/dataSchemas/stream-resource-id",
          "key": "stream-resource-id"
        },
        {
          "outputResource": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID/dataSchemas/general-object-detection",
          "producerNode": "builtin-general-object-detector",
          "key": "general_object_detection_data_schema_id"
        }
      ]
    },
    "state": "DEPLOYED",
    "deploymentEnvironment": "DEPLOYMENT_ENVIRONMENT_CLOUD"
  }
}

取消部署应用

如需停止使用应用，您必须取消部署该应用。

控制台

打开 Gemini Enterprise Agent Platform Vision 信息中心的应用标签页。

进入“应用”标签页
从列表中选择应用名称旁边的查看应用 。
在应用图表构建器页面中，点击停用按钮。

REST 和命令行

如需取消部署应用，请使用 projects.locations.applications.undeploy 方法发送 POST 请求。

在使用任何请求数据之前，请先进行以下替换：

PROJECT：您的 Google Cloud 项目 ID 或项目编号。
LOCATION_ID：您使用 Agent Platform Vision 的区域。例如：us-central1、europe-west4。请参阅可用区域。
APPLICATION_ID：目标应用的 ID。

HTTP 方法和网址：

POST https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:undeploy

如需发送请求，请选择以下方式之一：

curl

执行以下命令：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d "" \
     "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:undeploy"

PowerShell

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -Uri "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_ID:undeploy" | Select-Object -Expand Content

如果成功，该请求会启动长时间运行的操作，并返回一个包含操作 ID 的 JSON 对象。

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.OperationMetadata",
    "createTime": "2023-01-12T18:14:48.260296926Z",
    "target": "projects/PROJECT_NUMBER/locations/LOCATION_ID/applications/APPLICATION_NAME",
    "verb": "update",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": false
}

获取操作状态

使用响应中的操作 ID 获取取消部署请求的状态。

在使用任何请求数据之前，请先进行以下替换：

REGIONALIZED_ENDPOINT：端点可能包含与 LOCATION_ID 匹配的前缀，例如 europe-west4-。详细了解区域化端点。
PROJECT_NUMBER：您的 Google Cloud 项目编号。
LOCATION_ID：您使用 Agent Platform Vision 的区域。例如：us-central1、europe-west4。请参阅可用区域。
OPERATION_ID：启动长时间运行的操作时返回的操作 ID。例如：
- projects/123456/locations/us-central1/[...]/operations/OPERATION_ID

HTTP 方法和网址：

GET https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID

如需发送请求，请选择以下方式之一：

curl

执行以下命令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID"

PowerShell

注意：以下命令假定您已使用您的用户账号通过运行 gcloud init 或 gcloud auth login 登录 gcloud CLI。您可以运行 gcloud auth list 来检查当前活跃的账号。

执行以下命令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/operations/OPERATION_ID" | Select-Object -Expand Content

您应该收到类似以下内容的 JSON 响应：

响应

{
  "name": "projects/PROJECT_ID/locations/LOCATION_ID/operations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.OperationMetadata",
    "createTime": "2023-01-12T18:14:48.260296926Z",
    "endTime": "2023-01-12T18:14:58.059563424Z",
    "target": "projects/PROJECT_ID/locations/LOCATION_ID/applications/APPLICATION_NAME",
    "verb": "update",
    "statusMessage": "Instance Undeployment Pending....",
    "requestedCancellation": false,
    "apiVersion": "v1"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.Application",
    "name": "projects/PROJECT_ID/locations/LOCATION_ID/applications/APPLICATION_NAME",
    "createTime": "2023-01-06T21:16:26.465867295Z",
    "updateTime": "2023-01-12T18:14:48.264089325Z",
    "displayName": "APPLICATION_NAME",
    "applicationConfigs": {
      "nodes": [
        {
          "name": "builtin-input-stream",
          "displayName": "Streams",
          "nodeConfig": {
            "videoStreamInputConfig": {}
          },
          "processor": "builtin:stream-input",
          "outputAllOutputChannelsToStream": false
        },
        {
          "name": "builtin-general-object-detector",
          "displayName": "Object detector",
          "nodeConfig": {
            "generalObjectDetectionConfig": {}
          },
          "processor": "builtin:general-object-detector",
          "parents": [
            {
              "parentNode": "builtin-input-stream"
            }
          ],
          "outputAllOutputChannelsToStream": false
        },
        {
          "name": "builtin-media-warehouse",
          "displayName": "Vision AI Warehouse",
          "nodeConfig": {
            "mediaWarehouseConfig": {
              "corpus": "projects/PROJECT_ID/locations/LOCATION_ID/corpora/CORPUS_ID"
            }
          },
          "processor": "builtin:media-warehouse",
          "parents": [
            {
              "parentNode": "builtin-input-stream"
            },
            {
              "parentNode": "builtin-general-object-detector"
            }
          ],
          "outputAllOutputChannelsToStream": false
        }
      ]
    },
    "state": "CREATED",
    "deploymentEnvironment": "DEPLOYMENT_ENVIRONMENT_CLOUD"
  }
}

后续步骤

如需了解如何开始从应用的输入流进行数据注入，请参阅创建和管理流中的相关说明。
如需了解如何列出应用和查看已部署应用的实例，请参阅管理应用。
如需了解如何从提取流读取应用输入数据或分析的模型输出数据，请参阅读取流数据。

部署和取消部署应用 使用集合让一切井井有条 根据您的偏好保存内容并对其进行分类。

部署应用

控制台

REST 和命令行

curl

PowerShell

curl

PowerShell

响应

取消部署应用

控制台

REST 和命令行

curl

PowerShell

curl

PowerShell

响应

后续步骤

部署和取消部署应用