Get network | PhenoNet

Introduction

This step will guide you on how to get the public and private networks for inference. The PhenoNet platform will return the parameters file_path and task_id, which serve as an identifier for inference.

Request Description

API address: https://api.phenonet.org/api/v1/openapi/models/
Request method: HTTPS GET
Return format: JSON
Content-Type: multipart/form-data
Headers: {"accessID": "{{STRING}}", "secretKey": "{{STRING}}"}

Parameter Description

parameter	data type	description	value	required
accessID	string	`accessID` is required when sending requests	see Step I: Get AI&SK	True
secretKey	string	`secretKey` is required when sending requests	see Step I: Get AI&SK	True

Response Description

{
  "code": "{{INTEGER}}",
  "msg": "{{STRING}}",
  "data": {
    "{{NETWORK_ID}}": "{{NETWORK_NAME}}"
  }
}

Returned parameter description

parameter	data type	description
code	integer	state code
msg	string	reference information
data	object	returned content
network id	string	network unique identification
network name	string	-

Example Code

Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests

ACCESS_ID = ''
SECRET_KEY = ''
HEADERS = {
    "accessID": ACCESS_ID,
    "secretKey": SECRET_KEY,
}

def get_network(headers):
    url = "https://api.phenonet.org/api/v1/openapi/models/"
    try:
        response = requests.get(url, headers=headers)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as error:
        print(f"Error get networks: {error}")
        return None

if __name__ == '__main__':
    network_res = get_network(HEADERS)
    if network_res:
        print(network_res)

Error Code

code	description
403	`AI (Access ID)` or `SK (Secret Key)` error