google_ai_studio/job_video_processing.py

import time
from concurrent.futures import ThreadPoolExecutor, wait
from common.redis import install_video_data
from video_processing.video_processing import VideoProcessing


max_workers = 10

def video_ai_task_start():
    with ThreadPoolExecutor( max_workers=max_workers) as executor:
        while True:
            try:
                redis_task_list = ['task:video_ai'] * 3
                # 提交所有任务并等待完成
                futures = [executor.submit( process_video_ai, redis_task ) for redis_task in redis_task_list]
                wait( futures )  # 等待所有任务完成
            except Exception as e:
                print(f"异常信息{e}")
                time.sleep(3)
                continue

def process_video_ai(redis_task):
    try:

        print(f"开始执行任务{redis_task}")
        video_processor = VideoProcessing()
        video_processor.get_video(redis_task)
        print(f"执行完成{redis_task}")
        time.sleep(5)
    except Exception as e:
        print("处理任务时出现异常:", e)
        time.sleep(5)
if __name__ == '__main__':
    video_ai_task_start()