Type Detection

View type detection is a data flow accessible via a POST call to [http|https]://[hostname]:[port]/[apiversion]/tenants/[tenantguid]/processing/typedetector.

To request type detection, attach the body of the object to the request. Note: CSV documents currently rely on hints (content-type header) as irregular CSV files could otherwise be detected as plain text.

curl --location 'http://view.homedns.org:8000/v1.0/tenants/00000000-0000-0000-0000-000000000000/processing/typedetection' \
--header 'Content-Type: application/json' \
--header 'Authorization: ••••••' \
--data '{"menu": {
  "id": "file",
  "value": "File",
  "popup": {
    "menuitem": [
      {"value": "New", "onclick": "CreateNewDoc()"},
      {"value": "Open", "onclick": "OpenDoc()"},
      {"value": "Close", "onclick": "CloseDoc()"}
    ]
  }
}}'

import { ViewProcessorSdk } from "view-sdk";

const api = new ViewProcessorSdk(
  "http://localhost:8000/", //endpoint
  "<tenant-guid>", //tenant Id
  "default" //access key
);

const typeDetection = async () => {
  try {
    const response = await api.processSdk.typeDetection({
      menu: {
        id: "file",
        value: "File",
        popup: {
          menuitem: [
            { value: "New", onclick: "CreateNewDoc()" },
            { value: "Open", onclick: "OpenDoc()" },
            { value: "Close", onclick: "CloseDoc()" },
          ],
        },
      },
    });
    console.log(response);
  } catch (error) {
    console.error("Error type detection:", error);
  }
};

typeDetection();

import view_sdk
from view_sdk import processor

sdk = view_sdk.configure( access_key="default",base_url="localhost", tenant_guid= "<tenant-guid>")

def typeDetection():
    result = processor.TypeDetector.type_detection(menu= {
        "id": "file",
        "value": "File",
        "popup": {
            "menuitem": [
            {"value": "New", "onclick": "CreateNewDoc()"},
            {"value": "Open", "onclick": "OpenDoc()"},
            {"value": "Close", "onclick": "CloseDoc()"}
            ]
        }
        })
    print(result)
    
typeDetection()

The response structure is consistent across input data types.

 {
   "MimeType": "application/json",
   "Extension": "json",
   "Type": "Json"
}