QwenModel/text_analysis/tools/kakfa_util.py

# coding=utf-8
from kafka import KafkaProducer
from kafka import KafkaConsumer
import json
import traceback
import time
import traceback
import datetime
import queue
from logUtil import get_logger
"""
写到kafka
"""
def kafkaProduce(topic,resultData,address):
	producer = KafkaProducer(bootstrap_servers = '{}'.format(address),request_timeout_ms=120000)
	topics = topic.split(',')
	for tc in topics:
		future  = producer.send(tc,resultData)
		result = future.get(timeout=60)
		producer.flush()
		print (result)

#写入文件
def writeTxt(filePath,result):
	f = open(filePath,'a',encoding='utf-8')
	f.write(result.encode('utf-8').decode('unicode_escape')+'\n')
	f.close

def KafkaConsume(topic,address,group_id,task_queue,logger):
	'''
	监控kafka，读取数据写到任务队列
	:param topic:
	:param address:
	:param group_id:
	:param task_queue:
	:return:
	'''
	try:
		consumer = KafkaConsumer(topic, auto_offset_reset='earliest',fetch_max_bytes=1024768000,fetch_max_wait_ms=5000, bootstrap_servers=address,group_id = group_id)
		i = 1
		while True:
			for msg in consumer:
				print('第{}条数据'.format(i))
				data = str(msg.value, encoding = "utf-8")
				print(data)
				task_queue.put(data)
				i = i+1
			else:
				print('暂无任务------')
				time.sleep(10)
	except Exception as e:
		print('kafka未知异常----')
		traceback.print_exc()

def writeTxt(filePath,result):
	f = open(filePath,'a')
	f.write(result+'\n')
	f.close

if __name__ == '__main__':
    resultData = {'id': '中文', 'url': 'https://zh.wikipedia.org/zh/%E8%94%A1%E8%8B%B1%E6%96%87'}
    kafkaProduce('test', json.dumps(resultData).encode('utf-8').decode('unicode_escape').encode(),'172.26.28.30:9092')
	#task_queue = queue.Queue()
	#KafkaConsume('fq-Taobao-eccontent','39.129.129.172:6666,39.129.129.172:6668,39.129.129.172:6669,39.129.129.172:6670,39.129.129.172:6671','news_sche_8',task_queue,logger)
	# KafkaConsume('zxbnewstopic','120.133.14.71:9992','group3',task_queue,logger)