self-healing-sig/use-cases/heat-mistral-aodh/scripts/hooks/script
ricolin bf603c75cc Add autoscaling with self-healing scenario
A scenario for self-healing and auto-scaling with Heat, Mistral,
Zaqar, and Aodh.

Change-Id: I652c3b0e0caa433bfd08c0cb35b21507f0897889
2018-11-06 21:02:21 +00:00

100 lines
3.0 KiB
Python
Executable File

#!/usr/bin/env python
#
# 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.
import json
import logging
import os
import subprocess
import sys
import warnings
WORKING_DIR = os.environ.get('HEAT_SCRIPT_WORKING',
'/var/lib/heat-config/heat-config-script')
OUTPUTS_DIR = os.environ.get('HEAT_SCRIPT_OUTPUTS',
'/var/run/heat-config/heat-config-script')
def prepare_dir(path):
if not os.path.isdir(path):
os.makedirs(path, 0o700)
def main(argv=sys.argv):
warnings.warn('This hook is deprecated, please use hooks from heat-agents '
'repository instead.', DeprecationWarning)
log = logging.getLogger('heat-config')
handler = logging.StreamHandler(sys.stderr)
handler.setFormatter(
logging.Formatter(
'[%(asctime)s] (%(name)s) [%(levelname)s] %(message)s'))
log.addHandler(handler)
log.setLevel('DEBUG')
prepare_dir(OUTPUTS_DIR)
prepare_dir(WORKING_DIR)
os.chdir(WORKING_DIR)
c = json.load(sys.stdin)
env = os.environ.copy()
for input in c['inputs']:
input_name = input['name']
value = input.get('value', '')
if isinstance(value, dict) or isinstance(value, list):
env[input_name] = json.dumps(value)
else:
env[input_name] = value
log.info('%s=%s' % (input_name, env[input_name]))
fn = os.path.join(WORKING_DIR, c['id'])
heat_outputs_path = os.path.join(OUTPUTS_DIR, c['id'])
env['heat_outputs_path'] = heat_outputs_path
with os.fdopen(os.open(fn, os.O_CREAT | os.O_WRONLY, 0o700), 'w') as f:
f.write(c.get('config', '').encode('utf-8'))
log.debug('Running %s' % fn)
subproc = subprocess.Popen([fn], stdout=subprocess.PIPE,
stderr=subprocess.PIPE, env=env)
stdout, stderr = subproc.communicate()
log.info(stdout)
log.debug(stderr)
if subproc.returncode:
log.error("Error running %s. [%s]\n" % (fn, subproc.returncode))
else:
log.info('Completed %s' % fn)
response = {}
for output in c.get('outputs') or []:
output_name = output['name']
try:
with open('%s.%s' % (heat_outputs_path, output_name)) as out:
response[output_name] = out.read()
except IOError:
pass
response.update({
'deploy_stdout': stdout,
'deploy_stderr': stderr,
'deploy_status_code': subproc.returncode,
})
json.dump(response, sys.stdout)
if __name__ == '__main__':
sys.exit(main(sys.argv))