Accessing an Edge Service

Accessing an Edge Service

If the edge service and edge node are in the Running status, the edge service has been successfully deployed on the edge node.

You can use either of the following methods to send an inference request to the edge service deployed on the edge node in a network that can access the edge node:

• Method 1: Use GUI-based Software for Inference (Postman)
• Method 2: Run the cURL Command to Send an Inference Request

Method 1: Use GUI-based Software for Inference (Postman)

1. Download Postman and install it, or directly add the Postman extension to Google Chrome. (Alternatively, use other software that can send POST requests).
2. Open Postman.
3. Set parameters on Postman. The following uses image classification as an example.
   • Select a POST task, and copy the URL of the edge node to the POST edit box. View the URL of the edge node on the Node Info tab page of the edge service details page.
   • On the Body tab page, input parameters are divided into file input and text input types.
     • File input

       Select form-data. Set KEY to the input parameter of the model, for example, images. Set VALUE to an image to be inferred (only one image can be inferred).

     • Text input

       Select raw and then select JSON(application/json). Enter the request body in the text box below. An example request body is as follows:

       {
       "meta": {
       "uuid": "10eb0091-887f-4839-9929-cbc884f1e20e"
       },
       "data": {
       "req_data": [
       {
       "sepal_length": 3,
       "sepal_width": 1,
       "petal_length": 2.2,
       "petal_width": 4
       }
       ]
       }
       }

       meta can carry uuid. When the inference result is returned, the UUID is returned to trace the request. If you do not need this function, leave meta blank. data contains the req_data array. You can pass one or more pieces of request data. The parameters of each piece of data are determined by the model, such as sepal_length and sepal_width in this example.

4. After setting the parameters, click Send to send the request. The result is displayed in the response.
   • In the inference result using file input, the field values may vary with the model.
   • The request body of inference using text input contains meta and data. If the request contains uuid, uuid will be returned in the response. Otherwise, uuid is left blank. data contains the req_data array. You can pass one or more pieces of request data. The parameters of each piece of data are determined by the model, such as sepal_length and sepal_width in this example.

Method 2: Run the cURL Command to Send an Inference Request