status-checker/scheduler.py

122 lines
3.3 KiB
Python

import uncurl
import time
import requests
import schedule
import threading
from models import Task
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 = {}
stop_thread = False
def run_schedule():
global stop_thread
while not stop_thread:
for task in Task.select().where(Task.running == True):
if task.name in scheduled_jobs:
continue
job = threading.Thread(target=run_task, args=(task,))
job.start()
scheduled_jobs[task.name] = job
time.sleep(1)
def run_task(task):
while task.running:
result = execute_curl(task.curl)
task.result = result['content']
task.save()
time.sleep(task.interval)
def start_scheduler():
global stop_thread
stop_thread = False
scheduler_thread = threading.Thread(target=run_schedule)
scheduler_thread.start()
def stop_scheduler():
global stop_thread
stop_thread = True
for job in scheduled_jobs.values():
job.join()
scheduled_jobs.clear()
def stop_specific_task(task_name):
task = Task.get(Task.name == task_name)
task.running = False
task.save()
if task_name in scheduled_jobs:
scheduled_jobs[task_name].join()
del scheduled_jobs[task_name]
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()