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@@ -1,41 +1,24 @@
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import time
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+from concurrent.futures import ThreadPoolExecutor, wait
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+from common.redis import install_video_data
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from video_processing.video_processing import VideoProcessing
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-from concurrent.futures import ThreadPoolExecutor, wait, as_completed
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max_workers = 6
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def video_ai_task_start():
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- redis_task_list = ['task:video_ai_top', 'task:video_ai_recommend'] * 3 # 模拟任务列表
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-
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- with ThreadPoolExecutor( max_workers=max_workers ) as executor:
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- futures = []
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- task_index = 0
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- total_tasks = len( redis_task_list )
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-
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+ with ThreadPoolExecutor( max_workers=max_workers) as executor:
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while True:
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+ redis_task_list = ['task:video_ai_top', 'task:video_ai_recommend']
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try:
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- while len( futures ) < max_workers and task_index < total_tasks:
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- redis_task = redis_task_list[task_index]
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- futures.append( executor.submit( process_video_ai, redis_task ) )
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- print( f"提交任务: {redis_task}" )
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- task_index += 1
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- time.sleep( 1 )
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-
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- for future in as_completed( futures ):
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- futures.remove( future )
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- print( f"完成一个任务,当前运行中的任务数:{len( futures )}" )
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-
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- if task_index < total_tasks:
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- redis_task = redis_task_list[task_index]
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- futures.append( executor.submit( process_video_ai, redis_task ) )
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- print( f"补充新任务: {redis_task}" )
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- task_index += 1
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- time.sleep( 1 )
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-
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+ futures = []
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+ for redis_task in redis_task_list:
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+ futures.append(executor.submit( process_video_ai, redis_task))
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+ time.sleep(1) # 每秒提交一个任务
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+ wait( futures ) # 等待所有任务完成
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except Exception as e:
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- print( f"异常信息: {e}" )
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- time.sleep( 3 )
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+ print(f"异常信息{e}")
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+ time.sleep(1)
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continue
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def process_video_ai(redis_task):
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