我使用的是Python 3.6.5。
使用日志记录时,出现以下错误-
“ TypeError:需要一个类似字节的对象,而不是'str'”
在Python 2.x中工作正常,我也尝试将字符串转换为Byte对象,但无法解决问题
if __name__ == '__main__':
config_file = '/source/account_content_recommendation/config/sales_central_config.json'
try:
### Read all the parameters -
params = json.loads(hdfs.read_file(config_file))
### Create the logging csv file -
hdfs_log_path = params["hdfs_log_path"]
hdfs.create_file(hdfs_log_path, "starting ... ", overwrite = True)
log_name = 'Account_Content_Matching'
global stream
log = logging.getLogger('Acct_Cont_Log')
stream = BytesIO()
handler = logging.StreamHandler(stream)
log.setLevel(logging.DEBUG)
for handle in log.handlers:
log.removeHandler(handle)
log.addHandler(handler)
#env = sys.argv[1]
env = 'dev'
formatter = logging.Formatter('{0}| %(asctime)s| {1}| %(module)s| %(funcName)s| %(lineno)d| %(levelname)s| %(message)r'.format(log_name, env))
handler.setFormatter(formatter)
log.info("starting execution of Account_Content_Matching load")
#log.info("sys args %s"%(str(sys.argv)))
def flush_log():
global stream
msg = stream.getvalue()
hdfs.append_file(hdfs_log_path, msg)
stream.seek(0)
stream.truncate(0)
print(msg)
sys.stdout.flush
except Exception as error:
raise error
我收到以下错误-
回溯(最近通话最近): 发射中的文件“ /home/ec2-user/anaconda3/envs/tensorflow_p36/lib/python3.6/logging/init.py”,第994行 stream.write(msg) TypeError:需要一个类似字节的对象,而不是'str'
还...
消息:“开始执行Account_Content_Matching加载” 参数:() I1001 06:29:35.870266 140241833649984:29]开始执行Account_Content_Matching加载
答案 0 :(得分:1)
在记录器设置中,您是:
这不起作用,两个必须同步。有2种解决方法。 任一:
使用[Python 3.Docs]: class io.StringIO(initial_value='', newline='\n')(而不是 BytesIO ):
stream = StringIO()
将所有字符串转换为 bytes ,然后再将它们传递给logger方法(更复杂,并且比前者更有意义):
log.info("starting execution of Account_Content_Matching load".encode()) # log.info(b"starting execution of Account_Content_Matching load") # For literals
log.debug(some_string_var.encode())