[Python] check if multiple Output folders are new and monitor them

I have a script1.py to process videos one by one frequently The extract is saved in a folder.

script1.py - process videos

Output_Videos\namevideo1_Output


And the second script monitoring.py When running it monitors the following folders:

monitoring.py - monitoring

Output_Videos\namevideo1_Output\Images
Output_Videos\namevideo1_Output\Text


But when script1.py processing the second video automatic

Output_Videos\namevideo1_Output - is complete
Output_Videos\namevideo2_Output


Script monitoring.py stops monitoring Because when it was run for the first time, "monitoring.py" it only found one folder to monitor. how to run the "monitoring.py" script once and it checks repeatedly if any new folders Output_Videos and monitoring

example

Output_Videos\namevideo1_Output\Images
Output_Videos\namevideo1_Output\Text
Output_Videos\namevideo2_Output\Images
Output_Videos\namevideo2_Output\Text
Output_Videos\namevideo3_Output\Images
Output_Videos\namevideo3_Output\Text
...


monitoring.py

import time
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from glob import glob


class EventHandler(FileSystemEventHandler):

def __init__(self, text):
self.text = text

def on_created(self, event):
action, path = (event.event_type, event.src_path)
print(self.text.format(path))


def monitor_directories(data):
observer = Observer()
for directory, text in data:
event_handler = EventHandler(text)
observer.schedule(event_handler, directory, recursive=True)
observer.start()
observer = PollingObserver()

try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()


if __name__ == "__main__":
print("Crop sub area\n")
data = [
# always select a dir path (if using glob, be careful, it returns list), then custom text with {} in it that will become path
[glob("Output_Videos/*/Images")[0], " Crop images [Images] : {} Done"],
[glob("Output_Videos/*/Text")[0], " Crop images [Text] : {} Done"]
]
monitor_directories(data)

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