forked from GoogleCloudPlatform/cloudml-samples
-
Notifications
You must be signed in to change notification settings - Fork 1
/
subscriber.py
58 lines (46 loc) · 1.99 KB
/
subscriber.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
#!/usr/bin/env python
#
# Copyright 2018 Google Inc. All Rights Reserved. Licensed under the Apache
# License, Version 2.0 (the "License"); you may not use this file except in
# compliance with the License. You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
# This is a sample subscriber for the streaming predictions service.
import argparse
import json
import logging
import sys
import apache_beam as beam
from apache_beam.options.pipeline_options import GoogleCloudOptions
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.options.pipeline_options import SetupOptions
from apache_beam.options.pipeline_options import StandardOptions
if __name__ == '__main__':
"""Main function"""
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument(
'--topic',
type=str,
default='molecules-predictions',
help='PubSub topic to subscribe for predictions.')
args, pipeline_args = parser.parse_known_args()
beam_options = PipelineOptions(pipeline_args)
beam_options.view_as(SetupOptions).save_main_session = True
beam_options.view_as(StandardOptions).streaming = True
project = beam_options.view_as(GoogleCloudOptions).project
if not project:
parser.print_usage()
print('error: argument --project is required')
sys.exit(1)
# We'll just log the results
logging.basicConfig(level=logging.INFO)
topic_path = 'projects/{}/topics/{}'.format(project, args.topic)
with beam.Pipeline(options=beam_options) as p:
_ = (p
| 'Read predictions' >> beam.io.ReadFromPubSub(topic=topic_path)
| 'Log' >> beam.Map(logging.info))