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:
        redis_task_list = ['task:video_ai_top', 'task:video_ai_recommend']
        # 任务索引
        task_index = 0
        while True:
            try:
                # 提交任务
                executor.submit( process_video_ai, redis_task_list[task_index] )

                task_index += 1
                if task_index >= len( redis_task_list ):
                    task_index = 0  # 重置索引

                time.sleep( 1 )  # 每秒提交一个任务
            except Exception as e:
                print( f"异常信息: {e}" )
                time.sleep( 3 )  # 等待3秒后重试
                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()