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mongodb cache plugin (#34414)
* Initial commit of mongodb cache plugin * Fix typo in method docstring * Add ANSIBLE_METADATA indicating preview and community supported
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167
lib/ansible/plugins/cache/mongodb.py
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167
lib/ansible/plugins/cache/mongodb.py
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# (c) 2018, Matt Martz <matt@sivel.net>
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# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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ANSIBLE_METADATA = {'metadata_version': '1.1',
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'status': ['preview'],
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'supported_by': 'community'}
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DOCUMENTATION = '''
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cache: mongodb
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short_description: Use MongoDB for caching
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description:
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- This cache uses per host records saved in MongoDB.
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version_added: "2.5"
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requirements:
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- pymongo>=3
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options:
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_uri:
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description:
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- MongoDB Connection String URI
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required: False
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env:
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- name: ANSIBLE_CACHE_PLUGIN_CONNECTION
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ini:
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- key: fact_caching_connection
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section: defaults
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_prefix:
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description: User defined prefix to use when creating the DB entries
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env:
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- name: ANSIBLE_CACHE_PLUGIN_PREFIX
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ini:
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- key: fact_caching_prefix
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- section: defaults
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_timeout:
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default: 86400
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description: Expiration timeout in seconds for the cache plugin data
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env:
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- name: ANSIBLE_CACHE_PLUGIN_TIMEOUT
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ini:
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- key: fact_caching_timeout
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section: defaults
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type: integer
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'''
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import datetime
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from contextlib import contextmanager
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from ansible import constants as C
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from ansible.errors import AnsibleError
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from ansible.plugins.cache import BaseCacheModule
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try:
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import pymongo
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except ImportError:
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raise AnsibleError("The 'pymongo' python module is required for the mongodb fact cache, 'pip install pymongo>=3.0'")
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class CacheModule(BaseCacheModule):
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"""
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A caching module backed by mongodb.
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"""
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def __init__(self, *args, **kwargs):
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self._timeout = int(C.CACHE_PLUGIN_TIMEOUT)
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self._prefix = C.CACHE_PLUGIN_PREFIX
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self._cache = {}
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self._managed_indexes = False
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def _manage_indexes(self, collection):
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'''
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This function manages indexes on the mongo collection.
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We only do this once, at run time based on _managed_indexes,
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rather than per connection instantiation as that would be overkill
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'''
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_timeout = self._timeout
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if _timeout and _timeout > 0:
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try:
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collection.create_index(
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'date',
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name='ttl',
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expireAfterSeconds=_timeout
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)
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except pymongo.errors.OperationFailure:
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# We make it here when the fact_caching_timeout was set to a different value between runs
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collection.drop_index('ttl')
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return self._manage_indexes(collection)
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else:
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collection.drop_index('ttl')
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@contextmanager
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def _collection(self):
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'''
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This is a context manager for opening and closing mongo connections as needed. This exists as to not create a global
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connection, due to pymongo not being fork safe (http://api.mongodb.com/python/current/faq.html#is-pymongo-fork-safe)
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'''
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mongo = pymongo.MongoClient(C.CACHE_PLUGIN_CONNECTION)
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try:
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db = mongo.get_default_database()
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except pymongo.errors.ConfigurationError:
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# We'll fall back to using ``ansible`` as the database if one was not provided
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# in the MongoDB Connection String URI
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db = mongo['ansible']
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# The collection is hard coded as ``cache``, there are no configuration options for this
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collection = db['cache']
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if not self._managed_indexes:
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# Only manage the indexes once per run, not per connection
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self._manage_indexes(collection)
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self._managed_indexes = True
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yield collection
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mongo.close()
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def _make_key(self, key):
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return '%s%s' % (self._prefix, key)
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def get(self, key):
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if key not in self._cache:
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with self._collection() as collection:
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value = collection.find_one({'_id': self._make_key(key)})
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self._cache[key] = value['data']
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return self._cache.get(key)
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def set(self, key, value):
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self._cache[key] = value
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with self._collection() as collection:
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collection.update_one(
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{'_id': self._make_key(key)},
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{
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'$set': {
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'_id': self._make_key(key),
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'data': value,
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'date': datetime.datetime.utcnow()
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}
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},
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upsert=True
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)
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def keys(self):
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with self._collection() as collection:
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return [doc['_id'] for doc in collection.find({}, {'_id': True})]
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def contains(self, key):
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with self._collection() as collection:
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return bool(collection.count({'_id': self._make_key(key)}))
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def delete(self, key):
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del self._cache[key]
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with self._collection() as collection:
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collection.delete_one({'_id': self._make_key(key)})
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def flush(self):
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with self._collection() as collection:
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collection.delete_many({})
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def copy(self):
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with self._collection() as collection:
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return dict((d['_id'], d['data']) for d in collection.find({}))
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def __getstate__(self):
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return dict()
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def __setstate__(self, data):
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self.__init__()
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