asset.metadata_extract

Operation: asset.metadata_extract
Category: asset

Look up metadata for an asset by ID

Runtime

Type: Native (built-in)
Timeout: 300s
Retries: 3 (ExponentialWithJitter)

Inputs

Name	Type	Required	Default	Description
asset_id	String	Yes	—	Asset ID to look up

Outputs

Name	Type	Description
asset_id	String	Asset ID
content_type	String	MIME content type
size_bytes	Number	Size in bytes
exists	Boolean	Whether the asset exists

Usage

TypeScript

import { WorkflowBuilder } from "@fabric-platform/sdk";

const workflow = new WorkflowBuilder("my-workflow")
  .node("asset-metadata-extract", "tool", (n) =>
    n.config({
      operation: "asset.metadata_extract",
      // ... node-specific config
    })
  )
  .build();

Python

from fabric_platform import FabricClient

fabric = FabricClient(api_key="fab_xxx")

wf_id = fabric.upsert_workflow("my-workflow", nodes=[
    {
        "key": "asset-metadata-extract",
        "kind": "tool",
    },
])

Rust

use fabric_sdk::FabricClient;

let client = FabricClient::new("http://localhost:3001", api_key)?;

let wf_id = client.upsert_workflow("my-workflow", serde_json::json!({
    "nodes": [{
        "key": "asset-metadata-extract",
        "kind": "tool"
    }]
})).await?;

curl

curl -X POST http://localhost:3001/v1/workflow-definitions \
  -H "Authorization: Bearer $FABRIC_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "my-workflow",
    "nodes": [{
      "key": "asset-metadata-extract",
      "kind": "tool"
    }]
  }'