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- from kafka import KafkaProducer, KafkaConsumer
- from kafka.errors import kafka_errors
- import traceback
- import json,time,random,string
- import utilsK
- from utilsK.modelEval import onlineModelProcess
- import multiprocessing
- from multiprocessing import Process,Queue
-
- def consumer_demo(par):
-
- consumer = KafkaConsumer(
- par['topic'],
- bootstrap_servers=par['server'],
- group_id=par['group_id'],
- auto_offset_reset='latest',
- enable_auto_commit=False
- )
- itest = 0
- '''
- for message in consumer:
- itest+=1
- if itest>1:break;
- print("receive value: {}, partition:{} offset:{}".format(
- json.loads(message.value.decode()), message.partition,message.offset
- )
- )
- consumer.commit()
- '''
-
- dataPar ={
- 'imgData':'',
- 'imgName':'testW',
- 'streamName':'THSA_HD5M'
- }
- dataPar['inSource'] = 'http://images.5gai.taauav.com/video/8bc32984dd893930dabb2856eb92b4d1.mp4';dataPar['outSource'] = None
-
-
- process_uid=''.join(random.sample(string.ascii_letters + string.digits, 16))
- parent_conn, child_conn = multiprocessing.Pipe();
- dataPar['callback']=child_conn
-
- gpuProcess=Process(target=onlineModelProcess,name='process:%s'%( process_uid ),args=(dataPar,))
- gpuProcess.start()
- child_return = parent_conn.recv()
- returnData={'bboxes': 9999};
- returnData['gpu']=str(child_return)
- returnData['pid']=gpuProcess.pid
- returnData['pidName']=gpuProcess.name
- print( '#####consumer main:',returnData )
-
-
-
- if __name__=='__main__':
- par={};
- par['server']='212.129.223.66:9092';par['topic']='thsw';par['group_id']='test';
-
- consumer_demo(par)
-
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