Create and update a Streaming video warehouse

A Vision Warehouse is a component you can add to your app to store model output and streaming data.

Create a streaming video warehouse

To connect other component nodes of your app graph to a warehouse you must first create a streaming video warehouse.

Console

  1. Open the Warehouses tab of the Gemini Enterprise Agent Platform Vision dashboard.

    Go to the Warehouses tab

  2. Select Create.

  3. Add a name for the warehouse and choose a time to live (TTL) period for assets stored in the warehouse. These values can be modified later.

    After a warehouse is created you can add the warehouse to an application graph.

REST & CMD LINE

Creates a new corpus resource under the given project with the option to specify the corpus display name, description and a TTL.

Before using any of the request data, make the following replacements:

  • REGIONALIZED_ENDPOINT: Endpoint might include a prefix matching the LOCATION_ID such as europe-west4-. See more about regionalized endpoints.
  • PROJECT_NUMBER: Your Google Cloud project number.
  • LOCATION_ID: The region where you are using Agent Platform Vision. For example: us-central1, europe-west4. See available regions.
  • DISPLAY_NAME: Display name for the warehouse.
  • WAREHOUSE_DESCRIPTION: The description of the warehouse (corpus).
  • TIME_TO_LIVE: The amount of time to live (TTL) for all assets under a corpus, or the TTL of a specific asset. For example, for a corpus with assets with a TTL of 100 days, provide the value 8640000 (seconds).

HTTP method and URL: 

POST https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora

Request JSON body: 

{
  "display_name": "DISPLAY_NAME",
  "description": "WAREHOUSE_DESCRIPTION",
  "type": "STREAM_VIDEO",
  "default_ttl": {
    "seconds": TIME_TO_LIVE
  }
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json, and execute the following command: 

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

PowerShell

Save the request body in a file named request.json, and execute the following command: 

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

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/warehouseoperations/OPERATION_ID",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.CreateCorpusMetadata"
  },
  "done": true,
  "response": {
    "@type": "type.googleapis.com/google.cloud.visionai.v1.Corpus",
    "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora/CORPUS_ID",
    "displayName": "DISPLAY_NAME",
    "description": "