warnings.simplefilter(action='ignore', category=FutureWarning) # ignore future warnings
log = None
if log is None:
if is_server(): # by shell script
log = LogUtil.get_logger(sys.argv[0], level=logging.INFO, console_mode=True, multiprocess=False) # global log
elif is_pycharm_remote(): # remote gpu server
log = LogUtil.get_logger(sys.argv[0], level=logging.DEBUG, console_mode=True, multiprocess=False) # global log # console_mode=True for jupyter
else: # my macbook
log = LogUtil.get_logger(None, level=logging.DEBUG, console_mode=True) # global log
#################################################
# DB
#################################################
MONGO_URL = r'mongodb://%s:%s@%s:%s/%s?authMechanism=MONGODB-CR' % ('root', os.getenv('MONGODB_PASSWD'), 'db-local', '27017', 'admin')
MYSQL_URL = {'host': db_hostname(), 'user': '******', 'passwd': os.getenv('MYSQL_PASSWD'), 'db': 'kr_nlp'}
#################################################
# tensorboard log dir
#################################################
TENSORBOARD_LOG_DIR = os.path.join(os.getenv("HOME"), 'tensorboard_log')
# log.info('TENSORBOARD_LOG_DIR: %s' % TENSORBOARD_LOG_DIR)
if not os.path.exists(TENSORBOARD_LOG_DIR):
os.makedirs(TENSORBOARD_LOG_DIR)
#################################################
# nlp4kor-ko.wikipedia.org
#################################################
WIKIPEDIA_DIR = os.path.join(os.getenv('HOME'), 'workspace', 'nlp4kor-ko.wikipedia.org')
WIKIPEDIA_CORPUS_DIR = os.path.join(WIKIPEDIA_DIR, 'corpus')
if not os.path.exists(WIKIPEDIA_CORPUS_DIR):
log = LogUtil.get_logger(None,
level=logging.INFO,
console_mode=True) # global log
else: # batch mode
log = LogUtil.get_logger(sys.argv[0],
level=logging.INFO,
console_mode=False) # global log
else: # gpu pc(batch job, ubuntu)
log = LogUtil.get_logger(
sys.argv[0], level=logging.INFO, console_mode=False
) # global log # console_mode=True for jupyter notebook
MONGO_URL = r'mongodb://%s:%s@%s:%s/%s?authMechanism=MONGODB-CR' % (
'root', os.getenv('MONGODB_PASSWD'), 'db-local', '27017', 'admin')
MYSQL_URL = {
'host': db_hostname(),
'user': '******',
'passwd': os.getenv('MYSQL_PASSWD'),
'db': 'kr_nlp'
}
PROJECT_DIR = os.path.join(os.getenv("HOME"), 'workspace/nlp4kor')
# log.info('PROJECT_DIR: %s' % PROJECT_DIR)
DATA_DIR = os.path.join(PROJECT_DIR, 'data/')
# log.info('DATA_DIR: %s' % DATA_DIR)
if not os.path.exists(DATA_DIR):
os.mkdir(DATA_DIR)
TENSORBOARD_LOG_DIR = os.path.join(os.getenv("HOME"), 'tensorboard_log')
# log.info('TENSORBOARD_LOG_DIR: %s' % TENSORBOARD_LOG_DIR)
port=6379,
db=TEST_DB_NO,
password=os.getenv('REDIS_PASSWD'),
decode_responses=True,
encoding='utf8'):
pool = redis.ConnectionPool(host=host,
port=port,
db=db,
password=password,
decode_responses=decode_responses,
encoding=encoding)
return redis.Redis(connection_pool=pool)
if __name__ == '__main__':
_redis = RedisUtil.get_client(host=db_hostname(), decode_responses=False)
li = [1, 2, 3]
_redis.rpush('test_queue', pickle.dumps(li))
item = _redis.lpop('test_queue')
print(pickle.loads(item))
_redis = RedisUtil.get_client(host=db_hostname(), decode_responses=True)
print(_redis.info())
_redis.delete('test')
_redis.hset('test', '1', 100)
_redis.hset('test', '2', 200)
_redis.hdel('test', '1')
print(type(_redis.hkeys('test')))
_redis.set('test', 10)
value = _redis.get('test')
print(type(value), value)
