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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
This commit is contained in:
Matt Martz 2018-01-05 09:10:58 -06:00 committed by GitHub
parent 1826c27e68
commit 9b74b9bc8b
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167
lib/ansible/plugins/cache/mongodb.py vendored Normal file
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# (c) 2018, Matt Martz <matt@sivel.net>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
cache: mongodb
short_description: Use MongoDB for caching
description:
- This cache uses per host records saved in MongoDB.
version_added: "2.5"
requirements:
- pymongo>=3
options:
_uri:
description:
- MongoDB Connection String URI
required: False
env:
- name: ANSIBLE_CACHE_PLUGIN_CONNECTION
ini:
- key: fact_caching_connection
section: defaults
_prefix:
description: User defined prefix to use when creating the DB entries
env:
- name: ANSIBLE_CACHE_PLUGIN_PREFIX
ini:
- key: fact_caching_prefix
- section: defaults
_timeout:
default: 86400
description: Expiration timeout in seconds for the cache plugin data
env:
- name: ANSIBLE_CACHE_PLUGIN_TIMEOUT
ini:
- key: fact_caching_timeout
section: defaults
type: integer
'''
import datetime
from contextlib import contextmanager
from ansible import constants as C
from ansible.errors import AnsibleError
from ansible.plugins.cache import BaseCacheModule
try:
import pymongo
except ImportError:
raise AnsibleError("The 'pymongo' python module is required for the mongodb fact cache, 'pip install pymongo>=3.0'")
class CacheModule(BaseCacheModule):
"""
A caching module backed by mongodb.
"""
def __init__(self, *args, **kwargs):
self._timeout = int(C.CACHE_PLUGIN_TIMEOUT)
self._prefix = C.CACHE_PLUGIN_PREFIX
self._cache = {}
self._managed_indexes = False
def _manage_indexes(self, collection):
'''
This function manages indexes on the mongo collection.
We only do this once, at run time based on _managed_indexes,
rather than per connection instantiation as that would be overkill
'''
_timeout = self._timeout
if _timeout and _timeout > 0:
try:
collection.create_index(
'date',
name='ttl',
expireAfterSeconds=_timeout
)
except pymongo.errors.OperationFailure:
# We make it here when the fact_caching_timeout was set to a different value between runs
collection.drop_index('ttl')
return self._manage_indexes(collection)
else:
collection.drop_index('ttl')
@contextmanager
def _collection(self):
'''
This is a context manager for opening and closing mongo connections as needed. This exists as to not create a global
connection, due to pymongo not being fork safe (http://api.mongodb.com/python/current/faq.html#is-pymongo-fork-safe)
'''
mongo = pymongo.MongoClient(C.CACHE_PLUGIN_CONNECTION)
try:
db = mongo.get_default_database()
except pymongo.errors.ConfigurationError:
# We'll fall back to using ``ansible`` as the database if one was not provided
# in the MongoDB Connection String URI
db = mongo['ansible']
# The collection is hard coded as ``cache``, there are no configuration options for this
collection = db['cache']
if not self._managed_indexes:
# Only manage the indexes once per run, not per connection
self._manage_indexes(collection)
self._managed_indexes = True
yield collection
mongo.close()
def _make_key(self, key):
return '%s%s' % (self._prefix, key)
def get(self, key):
if key not in self._cache:
with self._collection() as collection:
value = collection.find_one({'_id': self._make_key(key)})
self._cache[key] = value['data']
return self._cache.get(key)
def set(self, key, value):
self._cache[key] = value
with self._collection() as collection:
collection.update_one(
{'_id': self._make_key(key)},
{
'$set': {
'_id': self._make_key(key),
'data': value,
'date': datetime.datetime.utcnow()
}
},
upsert=True
)
def keys(self):
with self._collection() as collection:
return [doc['_id'] for doc in collection.find({}, {'_id': True})]
def contains(self, key):
with self._collection() as collection:
return bool(collection.count({'_id': self._make_key(key)}))
def delete(self, key):
del self._cache[key]
with self._collection() as collection:
collection.delete_one({'_id': self._make_key(key)})
def flush(self):
with self._collection() as collection:
collection.delete_many({})
def copy(self):
with self._collection() as collection:
return dict((d['_id'], d['data']) for d in collection.find({}))
def __getstate__(self):
return dict()
def __setstate__(self, data):
self.__init__()