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bots/learn-trigger
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bots/learn-trigger
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#!/usr/bin/env python3
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# This file is part of Cockpit.
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#
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# Copyright (C) 2017 Red Hat, Inc.
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#
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# Cockpit is free software; you can redistribute it and/or modify it
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# under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation; either version 2.1 of the License, or
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# (at your option) any later version.
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#
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# Cockpit is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with Cockpit; If not, see <http://www.gnu.org/licenses/>.
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# Number of days between learning attempts
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DAYS = 7
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import argparse
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import sys
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import time
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sys.dont_write_bytecode = True
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import task
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# The name and version of the training data
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TRAINING_DATA = "tests-train-1.jsonl.gz"
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def main():
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parser = argparse.ArgumentParser(description='Ensure necessary issue learning from tests')
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parser.add_argument('-v', '--verbose', action="store_true", default=False,
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help="Print verbose information")
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parser.parse_args()
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title = "Update machine learning from test logs"
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body = "Perform machine learning tasks such as retrieving new test logs and updating"
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since = time.time() - (DAYS * 86400)
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items = [
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"tests-data " + TRAINING_DATA,
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# We want this to run in both namespaces
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"learn-tests https://learn-cockpit.apps.ci.centos.org/train/" + TRAINING_DATA,
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"flakes-refresh",
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]
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issue = task.issue(title, body, items[1], items=items, state="all", since=since)
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if issue:
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sys.stderr.write("#{0}: learn-tests\n".format(issue["number"]))
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return 0
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if __name__ == '__main__':
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sys.exit(main())
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