b23851253a
Ask OpenStack has been going down hard during cron time. For debugging purposes, add a 3 second sleep between calls to the Ask OpenStack API in the UC recognition script. Change-Id: Ie5c62d48f6972e2206916c585ffc3bb69b3b23ad
81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
#!/usr/bin/env python
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#
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# Copyright (c) 2016 OpenStack Foundation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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import json
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import requests
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import time
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user_list = 'https://ask.openstack.org/en/api/v1/users/'
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params = dict(
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sort='reputation',
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page=1
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)
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def get_user_data(karma_level):
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"""
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Loop through the user list to find users that have greater karma than
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karma level.
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Returns a list of user data dicts.
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"""
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page = 1
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session = requests.Session()
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response = session.get(user_list, params=params)
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user_data = json.loads(response.text)['users']
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while user_data[-1]['reputation'] >= karma_level:
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page = page + 1
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params.update({'page': page})
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print "Getting page: %d" % page
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response = session.get(user_list, params=params)
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user_data.extend(json.loads(response.text)['users'])
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time.sleep(3)
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# since pages are big chunks, we will have some users that are
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# having karma lower than karma_level in the last page. Remove them.
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while user_data[-1]['reputation'] < karma_level:
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user_data.pop()
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return user_data
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def get_active_users(user_data, last_active_days=180):
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"""
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Give a list of user dict objects, return the ones that
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were active within the number of days specificed by
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last_active days.
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Prints a list of usernames, reputations and IDs
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"""
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now = datetime.datetime.now()
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active_threshold = now - datetime.timedelta(days=last_active_days)
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for user in user_data:
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last_seen_at = datetime.datetime.fromtimestamp(
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int(user['last_seen_at']))
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if last_seen_at > active_threshold:
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print "{: <20} {: <20}".format(user['username'], str(user['id']))
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def main():
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user_data = get_user_data(karma_level=200)
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get_active_users(user_data, last_active_days=180)
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if __name__ == "__main__":
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main()
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