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我試圖運行一個python腳本來模擬實時向我的Google PubSub發送數據的流量傳感器雲殼。我得到這個錯誤如何修復AttributeError：'module'對象在Google Cloud Interactive Shell中運行python時沒有屬性'Client'
Traceback (most recent call last):
File "./send_sensor_data.py", line 87, in <module>
psclient = pubsub.Client()
AttributeError: 'module' object has no attribute 'Client'
試圖運行google.cloud.pubsub.__file__，不存在重複。 我一直在尋找無處不在，普遍的共識是將pubsub軟件包安裝到虛擬環境中，但我試圖無濟於事。 我試過到目前爲止：
- 設置VM清潔狀態
- 卸載和重新更新了所有gcloud組件到最新版本
- UNINSALLED和所有gcloud組件
- 重新安裝蟒蛇發佈訂閱庫
- 在virtualenv裏面安裝的pubsub
- 從不同的項目嘗試
- 從a不同的GCP帳戶
這是我的腳本：
import time
import gzip
import logging
import argparse
import datetime
from google.cloud import pubsub
TIME_FORMAT = '%Y-%m-%d %H:%M:%S'
TOPIC = 'sandiego'
INPUT = 'sensor_obs2008.csv.gz'
def publish(topic, events):
numobs = len(events)
if numobs > 0:
with topic.batch() as batch:
logging.info('Publishing {} events from {}'.
format(numobs, get_timestamp(events[0])))
for event_data in events:
batch.publish(event_data)
def get_timestamp(line):
# look at first field of row
timestamp = line.split(',')[0]
return datetime.datetime.strptime(timestamp, TIME_FORMAT)
def simulate(topic, ifp, firstObsTime, programStart, speedFactor):
# sleep computation
def compute_sleep_secs(obs_time):
time_elapsed = (datetime.datetime.utcnow() - programStart).seconds
sim_time_elapsed = (obs_time - firstObsTime).seconds/speedFactor
to_sleep_secs = sim_time_elapsed - time_elapsed
return to_sleep_secs
topublish = list()
for line in ifp:
event_data = line # entire line of input CSV is the message
obs_time = get_timestamp(line) # from first column
# how much time should we sleep?
if compute_sleep_secs(obs_time) > 1:
# notify the accumulated topublish
publish(topic, topublish) # notify accumulated messages
topublish = list() # empty out list
# recompute sleep, since notification takes a while
to_sleep_secs = compute_sleep_secs(obs_time)
if to_sleep_secs > 0:
logging.info('Sleeping {} seconds'.format(to_sleep_secs))
time.sleep(to_sleep_secs)
topublish.append(event_data)
# left-over records; notify again
publish(topic, topublish)
def peek_timestamp(ifp):
# peek ahead to next line, get timestamp and go back
pos = ifp.tell()
line = ifp.readline()
ifp.seek(pos)
return get_timestamp(line)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Send sensor data to Cloud Pub/Sub in small groups, simulating real-time behavior')
parser.add_argument('--speedFactor', help='Example: 60 implies 1 hour of data sent to Cloud Pub/Sub in 1 minute', required=True, type=float)
args = parser.parse_args()
# create Pub/Sub notification topic
logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.INFO)
psclient = pubsub.Client()
topic = psclient.topic(TOPIC)
if not topic.exists():
logging.info('Creating pub/sub topic {}'.format(TOPIC))
topic.create()
else:
logging.info('Reusing pub/sub topic {}'.format(TOPIC))
# notify about each line in the input file
programStartTime = datetime.datetime.utcnow()
with gzip.open(INPUT, 'rb') as ifp:
header = ifp.readline() # skip header
firstObsTime = peek_timestamp(ifp)
logging.info('Sending sensor data from {}'.format(firstObsTime))
simulate(topic, ifp, firstObsTime, programStartTime, args.speedFactor)