
Put all parameters for pagination into class named pagination, add this paramter to the interface of the database driver. For now, the methods support pagination query include get_resources, get_meters, get_alarms. For get_samples function, because it has parameter limit now, which should be include in pagination class, it is hard to add the pagination query in this patch(it involves API codes). We will add that in another patch. Pagination parameter includes the following members: 1) 'limit': maximum number of items to return. 2) 'primary_sort_dir': sort direction of primary key. 2) 'marker_value': value of the primary key to identify the last item of the previous page. 3) 'sort_keys': array of attributes user pass in except the primary key. 4) 'sort_dirs': per-column array of sort_dirs, corresponding to sort_keys. We update the prototype of sqlalchemy, hbase, mongodb db2 and logging storage backend. Pagination query for mongodb is merged already, we need to reverse it first. It is part of bp/paginate-db-search. Implements blueprint paginate-db-search Change-Id: I6eedcd728427f4ab20f575aa10675822301fd472
852 lines
31 KiB
Python
852 lines
31 KiB
Python
# -*- encoding: utf-8 -*-
|
|
#
|
|
# Copyright © 2012 New Dream Network, LLC (DreamHost)
|
|
# Copyright © 2013 eNovance
|
|
#
|
|
# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
|
|
# Julien Danjou <julien@danjou.info>
|
|
#
|
|
# 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.
|
|
"""MongoDB storage backend
|
|
"""
|
|
|
|
import calendar
|
|
import copy
|
|
import operator
|
|
import weakref
|
|
|
|
import bson.code
|
|
import bson.objectid
|
|
import json
|
|
import pymongo
|
|
|
|
from oslo.config import cfg
|
|
|
|
from ceilometer.openstack.common import log
|
|
from ceilometer import storage
|
|
from ceilometer.storage import base
|
|
from ceilometer.storage import models
|
|
from ceilometer.openstack.common.gettextutils import _
|
|
|
|
cfg.CONF.import_opt('time_to_live', 'ceilometer.storage',
|
|
group="database")
|
|
|
|
LOG = log.getLogger(__name__)
|
|
|
|
|
|
class MongoDBStorage(base.StorageEngine):
|
|
"""Put the data into a MongoDB database
|
|
|
|
Collections::
|
|
|
|
- user
|
|
- { _id: user id
|
|
source: [ array of source ids reporting for the user ]
|
|
}
|
|
- project
|
|
- { _id: project id
|
|
source: [ array of source ids reporting for the project ]
|
|
}
|
|
- meter
|
|
- the raw incoming data
|
|
- resource
|
|
- the metadata for resources
|
|
- { _id: uuid of resource,
|
|
metadata: metadata dictionaries
|
|
user_id: uuid
|
|
project_id: uuid
|
|
meter: [ array of {counter_name: string, counter_type: string,
|
|
counter_unit: string} ]
|
|
}
|
|
"""
|
|
|
|
def get_connection(self, conf):
|
|
"""Return a Connection instance based on the configuration settings.
|
|
"""
|
|
return Connection(conf)
|
|
|
|
|
|
def make_timestamp_range(start, end,
|
|
start_timestamp_op=None, end_timestamp_op=None):
|
|
"""Given two possible datetimes and their operations, create the query
|
|
document to find timestamps within that range.
|
|
By default, using $gte for the lower bound and $lt for the
|
|
upper bound.
|
|
"""
|
|
ts_range = {}
|
|
|
|
if start:
|
|
if start_timestamp_op == 'gt':
|
|
start_timestamp_op = '$gt'
|
|
else:
|
|
start_timestamp_op = '$gte'
|
|
ts_range[start_timestamp_op] = start
|
|
|
|
if end:
|
|
if end_timestamp_op == 'le':
|
|
end_timestamp_op = '$lte'
|
|
else:
|
|
end_timestamp_op = '$lt'
|
|
ts_range[end_timestamp_op] = end
|
|
return ts_range
|
|
|
|
|
|
def make_query_from_filter(sample_filter, require_meter=True):
|
|
"""Return a query dictionary based on the settings in the filter.
|
|
|
|
:param filter: SampleFilter instance
|
|
:param require_meter: If true and the filter does not have a meter,
|
|
raise an error.
|
|
"""
|
|
q = {}
|
|
|
|
if sample_filter.user:
|
|
q['user_id'] = sample_filter.user
|
|
if sample_filter.project:
|
|
q['project_id'] = sample_filter.project
|
|
|
|
if sample_filter.meter:
|
|
q['counter_name'] = sample_filter.meter
|
|
elif require_meter:
|
|
raise RuntimeError('Missing required meter specifier')
|
|
|
|
ts_range = make_timestamp_range(sample_filter.start, sample_filter.end,
|
|
sample_filter.start_timestamp_op,
|
|
sample_filter.end_timestamp_op)
|
|
if ts_range:
|
|
q['timestamp'] = ts_range
|
|
|
|
if sample_filter.resource:
|
|
q['resource_id'] = sample_filter.resource
|
|
if sample_filter.source:
|
|
q['source'] = sample_filter.source
|
|
|
|
# so the samples call metadata resource_metadata, so we convert
|
|
# to that.
|
|
q.update(dict(('resource_%s' % k, v)
|
|
for (k, v) in sample_filter.metaquery.iteritems()))
|
|
return q
|
|
|
|
|
|
class ConnectionPool(object):
|
|
|
|
def __init__(self):
|
|
self._pool = {}
|
|
|
|
def connect(self, url):
|
|
if url in self._pool:
|
|
client = self._pool.get(url)()
|
|
if client:
|
|
return client
|
|
LOG.info('connecting to MongoDB on %s', url)
|
|
client = pymongo.MongoClient(
|
|
url,
|
|
safe=True)
|
|
self._pool[url] = weakref.ref(client)
|
|
return client
|
|
|
|
|
|
class Connection(base.Connection):
|
|
"""MongoDB connection.
|
|
"""
|
|
|
|
CONNECTION_POOL = ConnectionPool()
|
|
|
|
REDUCE_GROUP_CLEAN = bson.code.Code("""
|
|
function ( curr, result ) {
|
|
if (result.resources.indexOf(curr.resource_id) < 0)
|
|
result.resources.push(curr.resource_id);
|
|
if (result.users.indexOf(curr.user_id) < 0)
|
|
result.users.push(curr.user_id);
|
|
if (result.projects.indexOf(curr.project_id) < 0)
|
|
result.projects.push(curr.project_id);
|
|
}
|
|
""")
|
|
|
|
EMIT_STATS_COMMON = """
|
|
emit(%(key_val)s, { unit: this.counter_unit,
|
|
min : this.counter_volume,
|
|
max : this.counter_volume,
|
|
sum : this.counter_volume,
|
|
count : NumberInt(1),
|
|
groupby : %(groupby_val)s,
|
|
duration_start : this.timestamp,
|
|
duration_end : this.timestamp,
|
|
period_start : %(period_start_val)s,
|
|
period_end : %(period_end_val)s} )
|
|
"""
|
|
|
|
MAP_STATS_PERIOD_VAR = """
|
|
var period = %(period)d * 1000;
|
|
var period_first = %(period_first)d * 1000;
|
|
var period_start = period_first
|
|
+ (Math.floor(new Date(this.timestamp.getTime()
|
|
- period_first) / period)
|
|
* period);
|
|
"""
|
|
|
|
MAP_STATS_GROUPBY_VAR = """
|
|
var groupby_fields = %(groupby_fields)s;
|
|
var groupby = {};
|
|
var groupby_key = {};
|
|
|
|
for ( var i=0; i<groupby_fields.length; i++ ) {
|
|
groupby[groupby_fields[i]] = this[groupby_fields[i]]
|
|
groupby_key[groupby_fields[i]] = this[groupby_fields[i]]
|
|
}
|
|
"""
|
|
|
|
PARAMS_MAP_STATS = {'key_val': '\'statistics\'',
|
|
'groupby_val': 'null',
|
|
'period_start_val': 'this.timestamp',
|
|
'period_end_val': 'this.timestamp'}
|
|
|
|
MAP_STATS = bson.code.Code("function () {" +
|
|
EMIT_STATS_COMMON % PARAMS_MAP_STATS +
|
|
"}")
|
|
|
|
PARAMS_MAP_STATS_PERIOD = {
|
|
'key_val': 'period_start',
|
|
'groupby_val': 'null',
|
|
'period_start_val': 'new Date(period_start)',
|
|
'period_end_val': 'new Date(period_start + period)'
|
|
}
|
|
|
|
MAP_STATS_PERIOD = bson.code.Code(
|
|
"function () {" +
|
|
MAP_STATS_PERIOD_VAR +
|
|
EMIT_STATS_COMMON % PARAMS_MAP_STATS_PERIOD +
|
|
"}")
|
|
|
|
PARAMS_MAP_STATS_GROUPBY = {'key_val': 'groupby_key',
|
|
'groupby_val': 'groupby',
|
|
'period_start_val': 'this.timestamp',
|
|
'period_end_val': 'this.timestamp'}
|
|
|
|
MAP_STATS_GROUPBY = bson.code.Code(
|
|
"function () {" +
|
|
MAP_STATS_GROUPBY_VAR +
|
|
EMIT_STATS_COMMON % PARAMS_MAP_STATS_GROUPBY +
|
|
"}")
|
|
|
|
PARAMS_MAP_STATS_PERIOD_GROUPBY = {
|
|
'key_val': 'groupby_key',
|
|
'groupby_val': 'groupby',
|
|
'period_start_val': 'new Date(period_start)',
|
|
'period_end_val': 'new Date(period_start + period)'
|
|
}
|
|
|
|
MAP_STATS_PERIOD_GROUPBY = bson.code.Code(
|
|
"function () {" +
|
|
MAP_STATS_PERIOD_VAR +
|
|
MAP_STATS_GROUPBY_VAR +
|
|
" groupby_key['period_start'] = period_start\n" +
|
|
EMIT_STATS_COMMON % PARAMS_MAP_STATS_PERIOD_GROUPBY +
|
|
"}")
|
|
|
|
REDUCE_STATS = bson.code.Code("""
|
|
function (key, values) {
|
|
var res = { unit: values[0].unit,
|
|
min: values[0].min,
|
|
max: values[0].max,
|
|
count: values[0].count,
|
|
sum: values[0].sum,
|
|
groupby: values[0].groupby,
|
|
period_start: values[0].period_start,
|
|
period_end: values[0].period_end,
|
|
duration_start: values[0].duration_start,
|
|
duration_end: values[0].duration_end };
|
|
for ( var i=1; i<values.length; i++ ) {
|
|
if ( values[i].min < res.min )
|
|
res.min = values[i].min;
|
|
if ( values[i].max > res.max )
|
|
res.max = values[i].max;
|
|
res.count = NumberInt(res.count + values[i].count);
|
|
res.sum += values[i].sum;
|
|
if ( values[i].duration_start < res.duration_start )
|
|
res.duration_start = values[i].duration_start;
|
|
if ( values[i].duration_end > res.duration_end )
|
|
res.duration_end = values[i].duration_end;
|
|
}
|
|
return res;
|
|
}
|
|
""")
|
|
|
|
FINALIZE_STATS = bson.code.Code("""
|
|
function (key, value) {
|
|
value.avg = value.sum / value.count;
|
|
value.duration = (value.duration_end - value.duration_start) / 1000;
|
|
value.period = NumberInt((value.period_end - value.period_start)
|
|
/ 1000);
|
|
return value;
|
|
}""")
|
|
|
|
def __init__(self, conf):
|
|
url = conf.database.connection
|
|
|
|
# NOTE(jd) Use our own connection pooling on top of the Pymongo one.
|
|
# We need that otherwise we overflow the MongoDB instance with new
|
|
# connection since we instanciate a Pymongo client each time someone
|
|
# requires a new storage connection.
|
|
self.conn = self.CONNECTION_POOL.connect(url)
|
|
|
|
# Require MongoDB 2.2 to use aggregate() and TTL
|
|
if self.conn.server_info()['versionArray'] < [2, 2]:
|
|
raise storage.StorageBadVersion("Need at least MongoDB 2.2")
|
|
|
|
connection_options = pymongo.uri_parser.parse_uri(url)
|
|
self.db = getattr(self.conn, connection_options['database'])
|
|
|
|
# NOTE(jd) Upgrading is just about creating index, so let's do this
|
|
# on connection to be sure at least the TTL is correcly updated if
|
|
# needed.
|
|
self.upgrade()
|
|
|
|
def upgrade(self):
|
|
# Establish indexes
|
|
#
|
|
# We need variations for user_id vs. project_id because of the
|
|
# way the indexes are stored in b-trees. The user_id and
|
|
# project_id values are usually mutually exclusive in the
|
|
# queries, so the database won't take advantage of an index
|
|
# including both.
|
|
for primary in ['user_id', 'project_id']:
|
|
self.db.resource.ensure_index([
|
|
(primary, pymongo.ASCENDING),
|
|
('source', pymongo.ASCENDING),
|
|
], name='resource_idx')
|
|
self.db.meter.ensure_index([
|
|
('resource_id', pymongo.ASCENDING),
|
|
(primary, pymongo.ASCENDING),
|
|
('counter_name', pymongo.ASCENDING),
|
|
('timestamp', pymongo.ASCENDING),
|
|
('source', pymongo.ASCENDING),
|
|
], name='meter_idx')
|
|
self.db.meter.ensure_index([('timestamp', pymongo.DESCENDING)],
|
|
name='timestamp_idx')
|
|
|
|
indexes = self.db.meter.index_information()
|
|
|
|
ttl = cfg.CONF.database.time_to_live
|
|
|
|
if ttl <= 0:
|
|
if 'meter_ttl' in indexes:
|
|
self.db.meter.drop_index('meter_ttl')
|
|
return
|
|
|
|
if 'meter_ttl' in indexes:
|
|
# NOTE(sileht): manually check expireAfterSeconds because
|
|
# ensure_index doesn't update index options if the index already
|
|
# exists
|
|
if ttl == indexes['meter_ttl'].get('expireAfterSeconds', -1):
|
|
return
|
|
|
|
self.db.meter.drop_index('meter_ttl')
|
|
|
|
self.db.meter.create_index(
|
|
[('timestamp', pymongo.ASCENDING)],
|
|
expireAfterSeconds=ttl,
|
|
name='meter_ttl'
|
|
)
|
|
|
|
def clear(self):
|
|
self.conn.drop_database(self.db)
|
|
# Connection will be reopened automatically if needed
|
|
self.conn.close()
|
|
|
|
def record_metering_data(self, data):
|
|
"""Write the data to the backend storage system.
|
|
|
|
:param data: a dictionary such as returned by
|
|
ceilometer.meter.meter_message_from_counter
|
|
"""
|
|
# Make sure we know about the user and project
|
|
self.db.user.update(
|
|
{'_id': data['user_id']},
|
|
{'$addToSet': {'source': data['source'],
|
|
},
|
|
},
|
|
upsert=True,
|
|
)
|
|
self.db.project.update(
|
|
{'_id': data['project_id']},
|
|
{'$addToSet': {'source': data['source'],
|
|
},
|
|
},
|
|
upsert=True,
|
|
)
|
|
|
|
# Record the updated resource metadata
|
|
self.db.resource.update(
|
|
{'_id': data['resource_id']},
|
|
{'$set': {'project_id': data['project_id'],
|
|
'user_id': data['user_id'],
|
|
'metadata': data['resource_metadata'],
|
|
'source': data['source'],
|
|
},
|
|
'$addToSet': {'meter': {'counter_name': data['counter_name'],
|
|
'counter_type': data['counter_type'],
|
|
'counter_unit': data['counter_unit'],
|
|
},
|
|
},
|
|
},
|
|
upsert=True,
|
|
)
|
|
|
|
# Record the raw data for the meter. Use a copy so we do not
|
|
# modify a data structure owned by our caller (the driver adds
|
|
# a new key '_id').
|
|
record = copy.copy(data)
|
|
self.db.meter.insert(record)
|
|
|
|
def clear_expired_metering_data(self, ttl):
|
|
"""Clear expired data from the backend storage system according to the
|
|
time-to-live.
|
|
|
|
:param ttl: Number of seconds to keep records for.
|
|
|
|
"""
|
|
results = self.db.meter.group(
|
|
key={},
|
|
condition={},
|
|
reduce=self.REDUCE_GROUP_CLEAN,
|
|
initial={
|
|
'resources': [],
|
|
'users': [],
|
|
'projects': [],
|
|
}
|
|
)[0]
|
|
|
|
self.db.user.remove({'_id': {'$nin': results['users']}})
|
|
self.db.project.remove({'_id': {'$nin': results['projects']}})
|
|
self.db.resource.remove({'_id': {'$nin': results['resources']}})
|
|
|
|
@staticmethod
|
|
def _get_marker(db_collection, marker_pairs):
|
|
"""Return the mark document according to the attribute-value pairs.
|
|
|
|
:param db_collection: Database collection that be query.
|
|
:param maker_pairs: Attribute-value pairs filter.
|
|
"""
|
|
if db_collection is None:
|
|
return
|
|
if not marker_pairs:
|
|
return
|
|
ret = db_collection.find(marker_pairs, limit=2)
|
|
|
|
if ret.count() == 0:
|
|
raise base.NoResultFound
|
|
elif ret.count() > 1:
|
|
raise base.MultipleResultsFound
|
|
else:
|
|
_ret = ret.__getitem__(0)
|
|
return _ret
|
|
|
|
@classmethod
|
|
def _recurse_sort_keys(cls, sort_keys, marker, flag):
|
|
_first = sort_keys[0]
|
|
value = marker[_first]
|
|
if len(sort_keys) == 1:
|
|
return {_first: {flag: value}}
|
|
else:
|
|
criteria_equ = {_first: {'eq': value}}
|
|
criteria_cmp = cls._recurse_sort_keys(sort_keys[1:], marker, flag)
|
|
return dict(criteria_equ, ** criteria_cmp)
|
|
|
|
@classmethod
|
|
def _build_paginate_query(cls, marker, sort_keys=[], sort_dir='desc'):
|
|
"""Returns a query with sorting / pagination.
|
|
|
|
Pagination works by requiring sort_key and sort_dir.
|
|
We use the last item in previous page as the 'marker' for pagination.
|
|
So we return values that follow the passed marker in the order.
|
|
:param q: The query dict passed in.
|
|
:param marker: the last item of the previous page; we return the next
|
|
results after this item.
|
|
:param sort_keys: array of attributes by which results be sorted.
|
|
:param sort_dir: direction in which results be sorted (asc, desc).
|
|
:return: sort parameters, query to use
|
|
"""
|
|
all_sort = []
|
|
sort_mapping = {'desc': (pymongo.DESCENDING, '$lt'),
|
|
'asc': (pymongo.ASCENDING, '$gt')
|
|
}
|
|
_sort_dir, _sort_flag = sort_mapping.get(sort_dir,
|
|
sort_mapping['desc'])
|
|
|
|
for _sort_key in sort_keys:
|
|
_all_sort = (_sort_key, _sort_dir)
|
|
all_sort.append(_all_sort)
|
|
|
|
if marker is not None:
|
|
sort_criteria_list = []
|
|
|
|
for i in range(0, len(sort_keys)):
|
|
sort_criteria_list.append(cls._recurse_sort_keys(
|
|
sort_keys[:(len(sort_keys) - i)],
|
|
marker, _sort_flag))
|
|
|
|
metaquery = {"$or": sort_criteria_list}
|
|
else:
|
|
metaquery = {}
|
|
|
|
return all_sort, metaquery
|
|
|
|
@classmethod
|
|
def paginate_query(cls, q, db_collection, limit=None, marker=None,
|
|
sort_keys=[], sort_dir='desc'):
|
|
"""Returns a query result with sorting / pagination.
|
|
|
|
Pagination works by requiring sort_key and sort_dir.
|
|
We use the last item in previous page as the 'marker' for pagination.
|
|
So we return values that follow the passed marker in the order.
|
|
:param q: the query dict passed in.
|
|
:param db_collection: Database collection that be query.
|
|
:param limit: maximum number of items to return.
|
|
:param marker: the last item of the previous page; we return the next
|
|
results after this item.
|
|
:param sort_keys: array of attributes by which results be sorted.
|
|
:param sort_dir: direction in which results be sorted (asc, desc).
|
|
return: The query with sorting/pagination added.
|
|
"""
|
|
|
|
all_sort, query = cls._build_paginate_query(marker,
|
|
sort_keys,
|
|
sort_dir)
|
|
q.update(query)
|
|
|
|
#NOTE(Fengqian):MongoDB collection.find can not handle limit
|
|
#when it equals None, it will raise TypeError, so we treate
|
|
#None as 0 for the value of limit.
|
|
if limit is None:
|
|
limit = 0
|
|
return db_collection.find(q, limit=limit, sort=all_sort)
|
|
|
|
def get_users(self, source=None):
|
|
"""Return an iterable of user id strings.
|
|
|
|
:param source: Optional source filter.
|
|
"""
|
|
q = {}
|
|
if source is not None:
|
|
q['source'] = source
|
|
|
|
return (doc['_id'] for doc in
|
|
self.db.user.find(q, fields=['_id'],
|
|
sort=[('_id', pymongo.ASCENDING)]))
|
|
|
|
def get_projects(self, source=None):
|
|
"""Return an iterable of project id strings.
|
|
|
|
:param source: Optional source filter.
|
|
"""
|
|
q = {}
|
|
if source is not None:
|
|
q['source'] = source
|
|
|
|
return (doc['_id'] for doc in
|
|
self.db.project.find(q, fields=['_id'],
|
|
sort=[('_id', pymongo.ASCENDING)]))
|
|
|
|
def get_resources(self, user=None, project=None, source=None,
|
|
start_timestamp=None, start_timestamp_op=None,
|
|
end_timestamp=None, end_timestamp_op=None,
|
|
metaquery={}, resource=None, pagination=None):
|
|
"""Return an iterable of models.Resource instances
|
|
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param source: Optional source filter.
|
|
:param start_timestamp: Optional modified timestamp start range.
|
|
:param start_timestamp_op: Optional start time operator, like gt, ge.
|
|
:param end_timestamp: Optional modified timestamp end range.
|
|
:param end_timestamp_op: Optional end time operator, like lt, le.
|
|
:param metaquery: Optional dict with metadata to match on.
|
|
:param resource: Optional resource filter.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
if pagination:
|
|
raise NotImplementedError(_('Pagination not implemented'))
|
|
|
|
q = {}
|
|
if user is not None:
|
|
q['user_id'] = user
|
|
if project is not None:
|
|
q['project_id'] = project
|
|
if source is not None:
|
|
q['source'] = source
|
|
if resource is not None:
|
|
q['resource_id'] = resource
|
|
# Add resource_ prefix so it matches the field in the db
|
|
q.update(dict(('resource_' + k, v)
|
|
for (k, v) in metaquery.iteritems()))
|
|
|
|
# FIXME(dhellmann): This may not perform very well,
|
|
# but doing any better will require changing the database
|
|
# schema and that will need more thought than I have time
|
|
# to put into it today.
|
|
if start_timestamp or end_timestamp:
|
|
# Look for resources matching the above criteria and with
|
|
# samples in the time range we care about, then change the
|
|
# resource query to return just those resources by id.
|
|
ts_range = make_timestamp_range(start_timestamp, end_timestamp,
|
|
start_timestamp_op,
|
|
end_timestamp_op)
|
|
if ts_range:
|
|
q['timestamp'] = ts_range
|
|
|
|
aggregate = self.db.meter.aggregate([
|
|
{"$match": q},
|
|
{"$group": {
|
|
"_id": "$resource_id",
|
|
"user_id": {"$first": "$user_id"},
|
|
"project_id": {"$first": "$project_id"},
|
|
"source": {"$first": "$source"},
|
|
"first_sample_timestamp": {"$min": "$timestamp"},
|
|
"last_sample_timestamp": {"$max": "$timestamp"},
|
|
"metadata": {"$first": "$resource_metadata"},
|
|
"meters_name": {"$push": "$counter_name"},
|
|
"meters_type": {"$push": "$counter_type"},
|
|
"meters_unit": {"$push": "$counter_unit"},
|
|
}},
|
|
])
|
|
|
|
for result in aggregate['result']:
|
|
yield models.Resource(
|
|
resource_id=result['_id'],
|
|
user_id=result['user_id'],
|
|
project_id=result['project_id'],
|
|
first_sample_timestamp=result['first_sample_timestamp'],
|
|
last_sample_timestamp=result['last_sample_timestamp'],
|
|
source=result['source'],
|
|
metadata=result['metadata'],
|
|
meter=[
|
|
models.ResourceMeter(
|
|
counter_name=m_n,
|
|
counter_type=m_t,
|
|
counter_unit=m_u,
|
|
)
|
|
for m_n, m_u, m_t in zip(result['meters_name'],
|
|
result['meters_unit'],
|
|
result['meters_type'])
|
|
],
|
|
)
|
|
|
|
def get_meters(self, user=None, project=None, resource=None, source=None,
|
|
metaquery={}, pagination=None):
|
|
"""Return an iterable of models.Meter instances
|
|
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param resource: Optional resource filter.
|
|
:param source: Optional source filter.
|
|
:param metaquery: Optional dict with metadata to match on.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
if pagination:
|
|
raise NotImplementedError(_('Pagination not implemented'))
|
|
|
|
q = {}
|
|
if user is not None:
|
|
q['user_id'] = user
|
|
if project is not None:
|
|
q['project_id'] = project
|
|
if resource is not None:
|
|
q['_id'] = resource
|
|
if source is not None:
|
|
q['source'] = source
|
|
q.update(metaquery)
|
|
|
|
for r in self.db.resource.find(q):
|
|
for r_meter in r['meter']:
|
|
yield models.Meter(
|
|
name=r_meter['counter_name'],
|
|
type=r_meter['counter_type'],
|
|
# Return empty string if 'counter_unit' is not valid for
|
|
# backward compatibility.
|
|
unit=r_meter.get('counter_unit', ''),
|
|
resource_id=r['_id'],
|
|
project_id=r['project_id'],
|
|
source=r['source'],
|
|
user_id=r['user_id'],
|
|
)
|
|
|
|
def get_samples(self, sample_filter, limit=None):
|
|
"""Return an iterable of model.Sample instances.
|
|
|
|
:param sample_filter: Filter.
|
|
:param limit: Maximum number of results to return.
|
|
"""
|
|
if limit == 0:
|
|
return
|
|
q = make_query_from_filter(sample_filter, require_meter=False)
|
|
if limit:
|
|
samples = self.db.meter.find(
|
|
q, limit=limit, sort=[("timestamp", pymongo.DESCENDING)])
|
|
else:
|
|
samples = self.db.meter.find(
|
|
q, sort=[("timestamp", pymongo.DESCENDING)])
|
|
|
|
for s in samples:
|
|
# Remove the ObjectId generated by the database when
|
|
# the sample was inserted. It is an implementation
|
|
# detail that should not leak outside of the driver.
|
|
del s['_id']
|
|
# Backward compatibility for samples without units
|
|
s['counter_unit'] = s.get('counter_unit', '')
|
|
yield models.Sample(**s)
|
|
|
|
def get_meter_statistics(self, sample_filter, period=None, groupby=None):
|
|
"""Return an iterable of models.Statistics instance containing meter
|
|
statistics described by the query parameters.
|
|
|
|
The filter must have a meter value set.
|
|
|
|
"""
|
|
if (groupby and
|
|
set(groupby) - set(['user_id', 'project_id',
|
|
'resource_id', 'source'])):
|
|
raise NotImplementedError("Unable to group by these fields")
|
|
|
|
q = make_query_from_filter(sample_filter)
|
|
|
|
if period:
|
|
if sample_filter.start:
|
|
period_start = sample_filter.start
|
|
else:
|
|
period_start = self.db.meter.find(
|
|
limit=1, sort=[('timestamp',
|
|
pymongo.ASCENDING)])[0]['timestamp']
|
|
period_start = int(calendar.timegm(period_start.utctimetuple()))
|
|
params_period = {'period': period,
|
|
'period_first': period_start,
|
|
'groupby_fields': json.dumps(groupby)}
|
|
if groupby:
|
|
map_stats = self.MAP_STATS_PERIOD_GROUPBY % params_period
|
|
else:
|
|
map_stats = self.MAP_STATS_PERIOD % params_period
|
|
else:
|
|
if groupby:
|
|
params_groupby = {'groupby_fields': json.dumps(groupby)}
|
|
map_stats = self.MAP_STATS_GROUPBY % params_groupby
|
|
else:
|
|
map_stats = self.MAP_STATS
|
|
|
|
results = self.db.meter.map_reduce(
|
|
map_stats,
|
|
self.REDUCE_STATS,
|
|
{'inline': 1},
|
|
finalize=self.FINALIZE_STATS,
|
|
query=q,
|
|
)
|
|
|
|
# FIXME(terriyu) Fix get_meter_statistics() so we don't use sorted()
|
|
# to return the results
|
|
return sorted(
|
|
(models.Statistics(**(r['value'])) for r in results['results']),
|
|
key=operator.attrgetter('period_start'))
|
|
|
|
@staticmethod
|
|
def _decode_matching_metadata(matching_metadata):
|
|
if isinstance(matching_metadata, dict):
|
|
#note(sileht): keep compatibility with old db format
|
|
return matching_metadata
|
|
else:
|
|
new_matching_metadata = {}
|
|
for elem in matching_metadata:
|
|
new_matching_metadata[elem['key']] = elem['value']
|
|
return new_matching_metadata
|
|
|
|
@staticmethod
|
|
def _encode_matching_metadata(matching_metadata):
|
|
if matching_metadata:
|
|
new_matching_metadata = []
|
|
for k, v in matching_metadata.iteritems():
|
|
new_matching_metadata.append({'key': k, 'value': v})
|
|
return new_matching_metadata
|
|
return matching_metadata
|
|
|
|
def get_alarms(self, name=None, user=None,
|
|
project=None, enabled=True, alarm_id=None, pagination=None):
|
|
"""Yields a lists of alarms that match filters
|
|
:param name: The Alarm name.
|
|
:param user: Optional ID for user that owns the resource.
|
|
:param project: Optional ID for project that owns the resource.
|
|
:param enabled: Optional boolean to list disable alarm.
|
|
:param alarm_id: Optional alarm_id to return one alarm.
|
|
:param pagination: Optional pagination query.
|
|
"""
|
|
if pagination:
|
|
raise NotImplementedError(_('Pagination not implemented'))
|
|
|
|
q = {}
|
|
if user is not None:
|
|
q['user_id'] = user
|
|
if project is not None:
|
|
q['project_id'] = project
|
|
if name is not None:
|
|
q['name'] = name
|
|
if enabled is not None:
|
|
q['enabled'] = enabled
|
|
if alarm_id is not None:
|
|
q['alarm_id'] = alarm_id
|
|
|
|
for alarm in self.db.alarm.find(q):
|
|
a = {}
|
|
a.update(alarm)
|
|
del a['_id']
|
|
a['matching_metadata'] = \
|
|
self._decode_matching_metadata(a['matching_metadata'])
|
|
yield models.Alarm(**a)
|
|
|
|
def update_alarm(self, alarm):
|
|
"""update alarm
|
|
"""
|
|
data = alarm.as_dict()
|
|
data['matching_metadata'] = \
|
|
self._encode_matching_metadata(data['matching_metadata'])
|
|
|
|
self.db.alarm.update(
|
|
{'alarm_id': alarm.alarm_id},
|
|
{'$set': data},
|
|
upsert=True)
|
|
|
|
stored_alarm = self.db.alarm.find({'alarm_id': alarm.alarm_id})[0]
|
|
del stored_alarm['_id']
|
|
stored_alarm['matching_metadata'] = \
|
|
self._decode_matching_metadata(stored_alarm['matching_metadata'])
|
|
return models.Alarm(**stored_alarm)
|
|
|
|
create_alarm = update_alarm
|
|
|
|
def delete_alarm(self, alarm_id):
|
|
"""Delete a alarm
|
|
"""
|
|
self.db.alarm.remove({'alarm_id': alarm_id})
|
|
|
|
@staticmethod
|
|
def record_events(events):
|
|
"""Write the events.
|
|
|
|
:param events: a list of model.Event objects.
|
|
"""
|
|
raise NotImplementedError('Events not implemented.')
|
|
|
|
@staticmethod
|
|
def get_events(event_filter):
|
|
"""Return an iterable of model.Event objects.
|
|
|
|
:param event_filter: EventFilter instance
|
|
"""
|
|
raise NotImplementedError('Events not implemented.')
|