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0c569c67fd
- Adds a Metrics() class that can track data such as number of events the callback receiver inserted into database - Exposes this metric data at the api/v2/metrics/ endpoint. This data is prometheus-friendly - Metric data is stored in memory, then periodically saved to Redis. - Metric data is periodically broadcast to other nodes in the cluster, so that each node has a copy of the most recent metric data collected.
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
# Copyright (c) 2015 Ansible, Inc.
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# All Rights Reserved.
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# Python
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import json
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import logging
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import redis
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# Django
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from django.conf import settings
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import awx.main.analytics.subsystem_metrics as s_metrics
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__all__ = ['CallbackQueueDispatcher']
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# use a custom JSON serializer so we can properly handle !unsafe and !vault
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# objects that may exist in events emitted by the callback plugin
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# see: https://github.com/ansible/ansible/pull/38759
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class AnsibleJSONEncoder(json.JSONEncoder):
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def default(self, o):
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if getattr(o, 'yaml_tag', None) == '!vault':
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return o.data
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return super(AnsibleJSONEncoder, self).default(o)
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class CallbackQueueDispatcher(object):
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def __init__(self):
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self.queue = getattr(settings, 'CALLBACK_QUEUE', '')
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self.logger = logging.getLogger('awx.main.queue.CallbackQueueDispatcher')
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self.connection = redis.Redis.from_url(settings.BROKER_URL)
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self.subsystem_metrics = s_metrics.Metrics()
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def dispatch(self, obj):
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self.connection.rpush(self.queue, json.dumps(obj, cls=AnsibleJSONEncoder))
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