feat: 增加了一个脚本，使用户可以执行cURL命令并按指定时间间隔调度运行。

脚本利用`uncurl`库将cURL命令转换为Python requests代码，并使用`schedule`库来调度命令的执行。

脚本提供了以下功能：
- `execute_curl(curl_command)`: 接受一个cURL命令作为输入，将其转换为Python requests代码，执行代码，并返回响应详情。
- `schedule_curl_command(curl_command, interval_seconds, job_name)`: 使用`schedule`库按指定时间间隔调度cURL命令的执行。
- `stop_specific_curl_task(job_name)`: 停止执行特定的调度cURL任务。
- `run_schedule()`: 启动一个单独的线程来运行调度的cURL任务。
- `print_scheduled_jobs()`: 打印当前已调度的任务。
- `print_running_threads()`: 打印当前运行的线程。

提交还包括一个使用示例，其中一个cURL命令被调度为每60秒运行一次，任务名为“task1”。运行180秒后，任务停止并打印已调度的任务。

这个脚本提供了一种便捷的方式来自动执行cURL命令，并按特定时间间隔调度运行。

get_resp.py

@@ -0,0 +1,102 @@
+import uncurl
+import time
+import requests
+import schedule
+import threading
+
+def execute_curl(curl_command):
+    # Convert cURL command to Python requests code
+    request_code = uncurl.parse(curl_command)
+    request_code = f"response = {request_code}"
+    # Ensure response is assigned to a variable in the namespace
+    
+    # Prepare a namespace to execute the generated code
+    namespace = {
+        'requests': requests,
+        'response': None
+    }
+    
+    # Start timing
+    start_time = time.time()
+    
+    # Execute the generated request code in the given namespace
+    exec(request_code, namespace)
+    
+    # End timing
+    end_time = time.time()
+    # round to 4 decimal
+    request_time = round(end_time - start_time, 4)
+    
+    # Get the response from the namespace
+    response = namespace['response']
+    
+    # Collect response details
+    response_details = {
+        'request_time': request_time,
+        'status_code': response.status_code,
+        'content': response.content.decode('utf-8')  # Assuming the content is in UTF-8
+    }
+    
+    return response_details
+
+
+
+# Dictionary to keep track of scheduled jobs
+scheduled_jobs = {}
+
+def schedule_curl_command(curl_command, interval_seconds, job_name):
+    def run_curl():
+        response_details = execute_curl(curl_command)
+        print(response_details)
+
+    # Schedule the run_curl function to run every interval_seconds
+    job = schedule.every(interval_seconds).seconds.do(run_curl)
+    
+    # Store the job in the dictionary
+    scheduled_jobs[job_name] = job
+
+def stop_specific_curl_task(job_name):
+    if job_name in scheduled_jobs:
+        schedule.cancel_job(scheduled_jobs[job_name])
+        del scheduled_jobs[job_name]
+
+def run_schedule():
+    global stop_thread
+    while not stop_thread:
+        schedule.run_pending()
+        time.sleep(1)
+
+def print_scheduled_jobs():
+    jobs = schedule.get_jobs()
+    print(f"Currently scheduled jobs: {len(jobs)}")
+    for job in jobs:
+        print(f"Job: {job}")
+
+def print_running_threads():
+    threads = threading.enumerate()
+    print(f"Currently running threads: {len(threads)}")
+    for thread in threads:
+        print(f"Thread name: {thread.name}")
+
+curl_command_1 = ''
+# Schedule the cURL command to run every 60 seconds with job name "task1"
+schedule_curl_command(curl_command_1, 60, "task1")
+
+# Start the schedule runner in a separate thread
+schedule_thread = threading.Thread(target=run_schedule, name="schedule_thread")
+schedule_thread.start()
+
+# Print the scheduled jobs
+time.sleep(5)  # Wait for a few seconds to ensure jobs are scheduled
+print_scheduled_jobs()
+
+# Run for some time and then stop (for demonstration purposes)
+time.sleep(180)  # Run for 180 seconds
+stop_specific_curl_task("task1")
+
+# Print the scheduled jobs after stopping the task
+print_scheduled_jobs()
+
+# Stop the scheduler thread
+stop_thread = True
+schedule_thread.join()