How to change position of progress bar – multiprocessing

Question

First of, I am new to Python. It\'s irrelevant to the question, but I have to mention it.

I am creating an crawler as my first project, to understand how things work in

Answer 1

Ok, first of I'd like to thank @MikeMcKerns for his comment... So there are lots of changes to my script, because I wanted different approach, but in the end it comes down to these important changes.

My init.py now looks that much cleaner...

from scraper.Crawl import Crawl

if __name__ == '__main__':
    Crawl()

My method inside of scraper.Crawl class, for download_lesson, now looks like this...

def download_lesson(self, lesson):

    response = requests.get(lesson['link'], stream=True)
    chunk_size = 1024

    progress = tqdm(
        total=int(response.headers['Content-Length']),
        unit='B',
        unit_scale=True
    )

    with open(lesson['file'], 'wb') as file:
        for chunk in response.iter_content(chunk_size=chunk_size):
            progress.update(len(chunk))
            file.write(chunk)

    progress.close()

And finally, I have a method dedicated to multiprocessing, which looks like this:

def begin_processing(self):
    pool = ThreadPool(nodes=Helper.config('threads'))

    for course in self.course_data:
        pool.map(self.download_lesson, course['lessons'])
        print(
            'Course "{course_title}" has been downloaded, with total of {lessons_amount} lessons.'.format(
                course_title=course['title'],
                lessons_amount=len(course['lessons'])
            )
        )

So as you can tell, I made some major changes to my class, but most importantly I had to add this bit to my init.py

if __name__ == '__main__':

And secondly, I had to use what @MikeMcKerns suggested me to take a look at:

from pathos.threading import ThreadPool

So with those changes, I finally got everything working as I needed. Here's a quick screenshot.

Even tho, I still have no clues why pathos.multiprocessing is making tqdm progress very buggy, I managed to solve my problem thanks to the suggestion of Mike. Thank you!