Implementing an intelligent use case generation tool based on python

import os
import requests
import json
"""Test Data Path Management"""
SCRIPTS_DIR = (((__file__)))
DATAS_DIR = (SCRIPTS_DIR, "datas")
Testcase_md= (DATAS_DIR,'')
"""Sample code"""
def sendGpt_getmd(content):
    # Set the token in the request header
    headers = {
        "Content-Type": "application/json"
    }
    # payload= set the parameters and data in the request body, just pass the parameters according to the format of the request parameters
    payload = {"Parameters": "Parameter values"}
    # Send POST request
    response = ("https://xxxxx", headers=headers,
                             data=(payload))
    # Parse the response
    if response.status_code == 200:
        result = 
        print(result)
        with open(Testcase_md, "w", encoding="utf-8") as f:
            (result)
    else:
        print("Request failed!")
if __name__ == '__main__':
  # Example usage: keydes is the title of the function, casecontentTemp is the template sent to gpt, in the use of the keydes can be set as a variable, by the front-end to pass the parameter. In addition, you can modify the content of casecontentTemp according to your needs.
  # Markdown format with only first level headings, second level headings, unordered list format: this format cannot be modified as it needs to be converted to xmind file in Markdown format subsequently
  keydes='Upload Attachment'
  casecontentTemp="Send it to me in Markdown form containing only primary headings, secondary headings, and unordered list format. Please write the primary heading as '"+keydes+"'s test cases containing functional tests (forward/reverse/anomaly scenarios), performance tests, security tests, compatibility tests"
  sendGpt_getmd(casecontentTemp)

import markdown
from bs4 import BeautifulSoup
import xmind
def md_to_xmind(md_file, xmind_file):
    # Read the MD file
    with open(md_file, 'r', encoding='utf-8') as f:
        md = ()
    # Parsing MD files
    html = (md)
    # Create XMind files
    workbook = (xmind_file)
    # Get the root node
    root_topic = ().getRootTopic()
    # Recursively add nodes
    def add_topic(parent_topic, node):
        # Add node
        topic = parent_topic.addSubTopic()
        title = ('title', '')
        (title)
        # Add text
        if 'html' in node:
            (node['html'])
        # Recursively add child nodes
        if 'children' in node:
            for child in node['children']:
                add_topic(topic, child)
    # Parsing HTML and adding nodes
    soup = BeautifulSoup(html, '')
    rootmap_node = {'children': []}
    root_node = None
    current_node = None
    for tag in :
        if  == 'h1':
            # Create the root node
            root_node = {'title': , 'children': []}
            current_node = root_node
        elif  == 'h2':
            new_node = {'title': , 'children': []}
            root_node['children'].append(new_node)
            current_node = new_node
        elif  == 'p':
            current_node['html'] = str(tag)
        elif  == 'ul':
            for li in :
                text = ()
                if len(text) > 0:
                    li_node = {'title': text, 'children': []}
                    current_node['children'].append(li_node)
        elif  == 'ol':
            for li in :
                text = ()
                if len(text) > 0:
                    li_node = {'title': text, 'children': []}
                    current_node['children'].append(li_node)
    # Add node
    for node in root_node['children']:
        add_topic(root_topic, node)
    # Change the name of the root node
    root_topic.setTitle(root_node['title'])
    # Save XMind files
    (workbook, xmind_file)
if __name__ == '__main__':
  # Example Usage Convert an .md file to an xmind file by calling the md_to_xmind method for the file generated in step 1.
  md_to_xmind('', '')
 

import os
from  import md_to_xmind
from  import sendGpt_getmd
"""Test Data Path Management"""
SCRIPTS_DIR = (((__file__)))
DATAS_DIR = (SCRIPTS_DIR, "datas")
Testcase_md= (DATAS_DIR,'')
Testcase_xmind= (DATAS_DIR,'')
def oneTocase(keydes):
   casecontentTemp="Send it to me in Markdown form containing only primary headings, secondary headings, and unordered list format. Please write the primary heading as '"+keydes+"'s test cases containing functional tests (forward/reverse/anomaly scenarios), performance tests, security tests, compatibility tests"
    sendGpt_getmd(casecontentTemp)
    md_to_xmind(Testcase_md, Testcase_xmind)
if __name__ == '__main__':
  # Example usage
  keydes='Upload Attachment'
  oneTocase(keydes)