Vertex AI Vision에서 모델은 카메라와 같은 기기에서 미디어 데이터를 수신하고, 데이터에 AI 예측을 실행하고, 주석을 지속적으로 생성합니다.
추가 분석 작업을 위해 처리된 데이터를 미디어 창고나 BigQuery와 같은 데이터 대상 ('데이터 싱크')으로 전송하는 경우가 많습니다. 하지만 일부 주석을 다르게 처리해야 하거나 주석 요구사항이 시간에 민감한 경우도 있습니다. Cloud Run 함수 및 Pub/Sub와 통합하면 이러한 요구사항을 해결할 수 있습니다.
모델 이벤트 알림을 사용 설정하려면 다음을 실행해야 합니다.
Cloud Run 함수를 사용하여 모델 데이터를 수신 대기하고 이 데이터에서 이벤트를 생성합니다.
Pub/Sub 이벤트 채널을 통해 Cloud Run 함수에서 생성된 이벤트를 전송합니다.
지원되는 모델
다음 모델은 Cloud Run 함수 이벤트 생성 및 Pub/Sub 이벤트 알림 통합을 제공합니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-04(UTC)"],[],[],null,["# Enable model event notification with Cloud Functions and Pub/Sub\n\nIn Vertex AI Vision, models receive media data from devices like cameras, run AI predictions on the data, and produce annotations continuously. Frequently you send that processed data to a data destination (\"data sink\") such as a media warehouse or BigQuery for further analytic jobs. However, you may have a case where some annotations must be handled differently, or the annotation needs are time-sensitive. Integrations with Cloud Run functions and Pub/Sub help you address these needs.\n\n\u003cbr /\u003e\n\nTo be able to enable model event notifications, you need to do the following:\n\n\u003cbr /\u003e\n\n1. Listen to the model data and generate events from it using Cloud Run functions.\n2. Send the Cloud Run functions generated events through the Pub/Sub event channel.\n\n#### Supported models\n\nThe following models offer Cloud Run functions event generation and\nPub/Sub event notification integrations:\n\n- [Occupancy analytics](/vision-ai/docs/occupancy-analytics-model) model\n- Vertex AI [custom-trained models](#add-vertex-custom-model)\n\nBefore you begin\n----------------\n\n- Create an app with, at minimum, a stream node and a [supported model](#event-supported-models) node.\n- Optional. [Install the Vertex AI Vision SDK](/vision-ai/docs/cloud-environment#get-source-code) and [ingest data](/vision-ai/docs/create-manage-streams#ingest-videos) into your app. If you don't do this before you set up event notification you must do it after.\n- Optional. [Create a Cloud Run function](/functions/docs/create-deploy-gcloud-1st-gen) to use. If you don't create your Cloud Run function before you configure Cloud Run functions to process model output, you must create it during that process.\n- Optional. [Create a Pub/Sub topic](/pubsub/docs/create-topic) to use. If you don't create your Pub/Sub topic before you enable model event notification with Pub/Sub, you must create it during that process.\n- Optional. [Choose and create a Pub/Sub subscription](/pubsub/docs/create-subscription). If you don't create your Pub/Sub subscription before you enable model event notification with Pub/Sub, you must create it after to read messages from a topic.\n\n### Configure Cloud Run functions to process model output\n\nTo trigger event-based notifications, you must first set up Cloud Run functions\nto process model output and generate events.\n\nYour Cloud Run function connects to the model and listens to its output\nas its post-processing action. The Cloud Run function you should return\nan [`AppPlatformCloudFunctionResponse`](/vision-ai/docs/reference/rpc/google.cloud.visionai.v1#appplatformcloudfunctionresponse). The events\n([`appplatformeventbody`](/vision-ai/docs/reference/rpc/google.cloud.visionai.v1#appplatformeventbody)) are\nsent to the Pub/Sub topic you configure in the next step.\n\n\u003cbr /\u003e\n\n#### Sample Cloud Run function (occupancy analytics model)\n\n### Sample Cloud Run function\n\n /**\n * Responds to any HTTP request.\n *\n * @param {!express:Request} req HTTP request context.\n * @param {!express:Response} res HTTP response context.\n */\n exports.hello_http = (req, res) =\u003e {\n // Logging statement can be read with cmd `gcloud functions logs read {$functionName}`.\n // For more about logging, please see https://cloud.google.com/functions/docs/monitoring\n\n // The processor output will be stored in req.body.\n const messageString = constructMessage(req.body);\n\n // Send your message to operator output with res HTTP response context.\n res.status(200).send(messageString);\n };\n\n function constructMessage(data) {\n // Typically, your processor output should contains appPlatformMetadata & it's designed output.\n // Here we will use the occupancy analytics model as an example.\n const appPlatformMetadata = data.appPlatformMetadata;\n const annotations = data.annotations;\n const events = [];\n for(const annotation of annotations) {\n events.push({\n \"event_message\": \"Event message goes here\",\n \"payload\" : {\n \"attr_key_goes_here\" : \"val_goes_here\"\n },\n \"event_id\" : \"event_id_goes_here\"\n });\n }\n\n // Typically, your cloud function should return a string represent a JSON which has two fields:\n // \"annotations\" must follow the specification of the target model.\n // \"events\" should be of type \"AppPlatformEventBody\".\n const messageJson = {\n \"annotations\": annotations,\n \"events\": events,\n };\n return JSON.stringify(messageJson);\n }\n\nUse the following instructions to\nto send the model output stream to your Cloud Run function: \n\n### Console\n\n1. Open the **Applications** tab of the Vertex AI Vision dashboard.\n\n [Go to the Applications tab](https://console.cloud.google.com/ai/vision-ai/applications)\n2. Select schema**View app** next to the\n name of your application from the list.\n\n3. Click on the [supported model](#event-supported-model) to open the model\n details side panel.\n\n4. In the **post-processing** list of the **Event notification** section,\n select your existing Cloud Run function, or create a new one.\n\n### Enable model event notification with Pub/Sub\n\nAfter you have set up Cloud Run functions to process model output and generate\nevents, you can set up event notification with Pub/Sub. To read messages\nfrom a topic, you also need to\n[Choose and create a Pub/Sub subscription](/pubsub/docs/create-subscription). \n\n### Console\n\n1. Open the **Applications** tab of the Vertex AI Vision dashboard.\n\n [Go to the Applications tab](https://console.cloud.google.com/ai/vision-ai/applications)\n2. Select schema**View app** next to the\n name of your application from the list.\n\n3. Click on the [supported model](#event-supported-model) to open the model\n details side panel.\n\n4. In the **Event notification** section, select\n **Set up event notification**.\n\n5. In the **Set up Pub/Sub for event notifications** option window that\n opens, choose your existing Pub/Sub topic, or create a new one.\n\n6. In the **Frequency** field, set an integer value for the frequency value\n in seconds a notification for the same type of event can be sent.\n\n7. Click **Set up**.\n\nWhat's next\n-----------\n\n- Read instructions about how to deploy your app to test model event notification in [Deploy and undeploy an application](/vision-ai/docs/deploy-app).\n- Work through the [Vertex AI Vision Occupancy Analytics app with event management](https://codelabs.developers.google.com/vertex-ai-event-management#0) codelab.\n- Learn more about Pub/Sub and Cloud Run functions in [What is Pub/Sub?](/pubsub/docs/overview) and the [Cloud Run functions overview](/functions/docs/concepts/overview)."]]