731 lines
23 KiB
Python
731 lines
23 KiB
Python
# -*- coding: utf-8 -*-
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# (C) Copyright 2015,2016 Hewlett Packard Enterprise Development Company LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import binascii
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from datetime import datetime
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from datetime import timedelta
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import hashlib
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import itertools
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import json
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import urllib
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from cassandra.cluster import Cluster
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from cassandra.query import SimpleStatement
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from oslo_config import cfg
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from oslo_log import log
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from oslo_utils import timeutils
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from monasca_api.common.repositories import exceptions
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from monasca_api.common.repositories import metrics_repository
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LOG = log.getLogger(__name__)
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class MetricsRepository(metrics_repository.AbstractMetricsRepository):
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def __init__(self):
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try:
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self.conf = cfg.CONF
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self._cassandra_cluster = Cluster(
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self.conf.cassandra.cluster_ip_addresses.split(','))
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self.cassandra_session = self._cassandra_cluster.connect(
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self.conf.cassandra.keyspace)
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except Exception as ex:
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LOG.exception(ex)
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raise exceptions.RepositoryException(ex)
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def list_metrics(self, tenant_id, region, name, dimensions, offset,
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limit, start_timestamp=None, end_timestamp=None,
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include_metric_hash=False):
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or_dimensions = []
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sub_dimensions = {}
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if dimensions:
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for key, value in dimensions.iteritems():
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if not value:
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sub_dimensions[key] = value
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elif '|' in value:
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def f(val):
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return {key: val}
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or_dimensions.append(list(map(f, value.split('|'))))
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else:
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sub_dimensions[key] = value
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if or_dimensions:
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or_dims_list = list(itertools.product(*or_dimensions))
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metrics_list = []
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for or_dims_tuple in or_dims_list:
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extracted_dimensions = sub_dimensions.copy()
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for dims in iter(or_dims_tuple):
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for k, v in dims.iteritems():
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extracted_dimensions[k] = v
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metrics = self._list_metrics(tenant_id, region, name,
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extracted_dimensions, offset,
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limit, start_timestamp,
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end_timestamp,
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include_metric_hash)
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metrics_list += metrics
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return sorted(metrics_list, key=lambda metric: metric['id'])
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return self._list_metrics(tenant_id, region, name, dimensions,
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offset, limit, start_timestamp,
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end_timestamp, include_metric_hash)
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def _list_metrics(self, tenant_id, region, name, dimensions, offset,
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limit, start_timestamp=None, end_timestamp=None,
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include_metric_hash=False):
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try:
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select_stmt = """
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select tenant_id, region, metric_hash, metric_map
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from metric_map
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where tenant_id = %s and region = %s
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"""
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parms = [tenant_id.encode('utf8'), region.encode('utf8')]
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name_clause = self._build_name_clause(name, parms)
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dimension_clause = self._build_dimensions_clause(dimensions, parms)
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select_stmt += name_clause + dimension_clause
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if offset:
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select_stmt += ' and metric_hash > %s '
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parms.append(bytearray(offset.decode('hex')))
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if limit:
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select_stmt += ' limit %s '
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parms.append(limit + 1)
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select_stmt += ' allow filtering '
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json_metric_list = []
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stmt = SimpleStatement(select_stmt,
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fetch_size=2147483647)
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rows = self.cassandra_session.execute(stmt, parms)
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if not rows:
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return json_metric_list
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for (tenant_id, region, metric_hash, metric_map) in rows:
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metric = {}
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dimensions = {}
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if include_metric_hash:
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metric[u'metric_hash'] = metric_hash
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for name, value in metric_map.iteritems():
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if name == '__name__':
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name = urllib.unquote_plus(value)
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metric[u'name'] = name
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else:
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name = urllib.unquote_plus(name)
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value = urllib.unquote_plus(value)
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dimensions[name] = value
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metric[u'dimensions'] = dimensions
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metric[u'id'] = binascii.hexlify(bytearray(metric_hash))
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json_metric_list.append(metric)
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return json_metric_list
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except Exception as ex:
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LOG.exception(ex)
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raise exceptions.RepositoryException(ex)
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def _build_dimensions_clause(self, dimensions, parms):
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dimension_clause = ''
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if dimensions:
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for name, value in dimensions.iteritems():
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if not value:
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dimension_clause += ' and metric_map contains key %s '
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parms.append(urllib.quote_plus(name).encode('utf8'))
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else:
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dimension_clause += ' and metric_map[%s] = %s '
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parms.append(urllib.quote_plus(name).encode('utf8'))
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parms.append(urllib.quote_plus(value).encode('utf8'))
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return dimension_clause
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def _build_name_clause(self, name, parms):
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name_clause = ''
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if name:
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name_clause = ' and metric_map[%s] = %s '
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parms.append(urllib.quote_plus('__name__').encode('utf8'))
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parms.append(urllib.quote_plus(name).encode('utf8'))
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return name_clause
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def measurement_list(self, tenant_id, region, name, dimensions,
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start_timestamp, end_timestamp, offset,
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limit, merge_metrics_flag):
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try:
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json_measurement_list = []
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rows = self._get_measurements(tenant_id, region, name, dimensions,
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start_timestamp, end_timestamp,
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offset, limit, merge_metrics_flag)
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if not rows:
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return json_measurement_list
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if not merge_metrics_flag:
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dimensions = self._get_dimensions(tenant_id, region, name, dimensions)
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measurements_list = (
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[[self._isotime_msec(time_stamp),
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value,
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json.loads(value_meta) if value_meta else {}]
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for (time_stamp, value, value_meta) in rows])
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measurement = {u'name': name,
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# The last date in the measurements list.
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u'id': measurements_list[-1][0],
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u'dimensions': dimensions,
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u'columns': [u'timestamp', u'value', u'value_meta'],
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u'measurements': measurements_list}
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json_measurement_list.append(measurement)
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return json_measurement_list
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except exceptions.RepositoryException as ex:
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LOG.exception(ex)
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raise ex
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except Exception as ex:
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LOG.exception(ex)
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raise exceptions.RepositoryException(ex)
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def _get_measurements(self, tenant_id, region, name, dimensions,
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start_timestamp, end_timestamp, offset, limit,
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merge_metrics_flag):
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metric_list = self.list_metrics(tenant_id, region, name,
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dimensions, None, None,
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start_timestamp, end_timestamp,
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include_metric_hash=True)
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if not metric_list:
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return None
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if len(metric_list) > 1:
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if not merge_metrics_flag:
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raise exceptions.MultipleMetricsException(
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self.MULTIPLE_METRICS_MESSAGE)
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select_stmt = """
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select time_stamp, value, value_meta
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from measurements
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where tenant_id = %s and region = %s
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"""
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parms = [tenant_id.encode('utf8'), region.encode('utf8')]
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metric_hash_list = [bytearray(metric['metric_hash']) for metric in
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metric_list]
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place_holders = ["%s"] * len(metric_hash_list)
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in_clause = ' and metric_hash in ({}) '.format(",".join(place_holders))
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select_stmt += in_clause
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parms.extend(metric_hash_list)
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if offset:
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select_stmt += ' and time_stamp > %s '
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parms.append(offset)
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elif start_timestamp:
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select_stmt += ' and time_stamp >= %s '
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parms.append(int(start_timestamp * 1000))
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if end_timestamp:
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select_stmt += ' and time_stamp <= %s '
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parms.append(int(end_timestamp * 1000))
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select_stmt += ' order by time_stamp '
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if limit:
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select_stmt += ' limit %s '
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parms.append(limit + 1)
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stmt = SimpleStatement(select_stmt,
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fetch_size=2147483647)
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rows = self.cassandra_session.execute(stmt, parms)
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return rows
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def _get_dimensions(self, tenant_id, region, name, dimensions):
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metrics_list = self.list_metrics(tenant_id, region, name,
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dimensions, None, 2)
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if len(metrics_list) > 1:
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raise exceptions.MultipleMetricsException(self.MULTIPLE_METRICS_MESSAGE)
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if not metrics_list:
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return {}
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return metrics_list[0]['dimensions']
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def list_metric_names(self, tenant_id, region, dimensions, offset, limit):
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try:
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select_stmt = """
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select metric_hash, metric_map
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from metric_map
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where tenant_id = %s and region = %s
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"""
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parms = [tenant_id.encode('utf8'), region.encode('utf8')]
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dimension_clause = self._build_dimensions_clause(dimensions, parms)
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select_stmt += dimension_clause
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if offset:
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select_stmt += ' and metric_hash > %s '
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parms.append(bytearray(offset.decode('hex')))
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if limit:
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select_stmt += ' limit %s '
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parms.append(limit + 1)
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select_stmt += ' allow filtering'
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json_name_list = []
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stmt = SimpleStatement(select_stmt,
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fetch_size=2147483647)
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rows = self.cassandra_session.execute(stmt, parms)
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if not rows:
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return json_name_list
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for (metric_hash, metric_map) in rows:
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metric = {}
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for name, value in metric_map.iteritems():
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if name == '__name__':
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name = urllib.unquote_plus(value)
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metric[u'name'] = name
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break
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metric[u'id'] = binascii.hexlify(bytearray(metric_hash))
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json_name_list.append(metric)
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return json_name_list
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except Exception as ex:
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LOG.exception(ex)
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raise exceptions.RepositoryException(ex)
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def metrics_statistics(self, tenant_id, region, name, dimensions,
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start_timestamp, end_timestamp, statistics,
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period, offset, limit, merge_metrics_flag):
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try:
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if not period:
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period = 300
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period = int(period)
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json_statistics_list = []
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rows = self._get_measurements(tenant_id, region, name, dimensions,
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start_timestamp, end_timestamp,
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offset, limit, merge_metrics_flag)
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if not rows:
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return json_statistics_list
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requested_statistics = [stat.lower() for stat in statistics]
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columns = [u'timestamp']
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if 'avg' in requested_statistics:
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columns.append(u'avg')
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if 'min' in requested_statistics:
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columns.append(u'min')
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if 'max' in requested_statistics:
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columns.append(u'max')
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if 'count' in requested_statistics:
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columns.append(u'count')
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if 'sum' in requested_statistics:
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columns.append(u'sum')
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first_row = rows[0]
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stats_count = 0
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stats_sum = 0
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stats_max = first_row.value
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stats_min = first_row.value
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start_period = first_row.time_stamp
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stats_list = []
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tmp_start_period = datetime.utcfromtimestamp(start_timestamp)
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while start_period >= tmp_start_period + timedelta(seconds=period):
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stat = [
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tmp_start_period.strftime('%Y-%m-%dT%H:%M:%SZ')
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.decode('utf8')
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]
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for _statistics in requested_statistics:
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stat.append(0)
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tmp_start_period += timedelta(seconds=period)
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stats_list.append(stat)
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for (time_stamp, value, value_meta) in rows:
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if (time_stamp - start_period).seconds >= period:
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stat = [
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start_period.strftime('%Y-%m-%dT%H:%M:%SZ').decode(
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'utf8')]
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if 'avg' in requested_statistics:
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stat.append(stats_sum / stats_count)
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if 'min' in requested_statistics:
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stat.append(stats_min)
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stats_min = value
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if 'max' in requested_statistics:
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stat.append(stats_max)
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stats_max = value
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if 'count' in requested_statistics:
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stat.append(stats_count)
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if 'sum' in requested_statistics:
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stat.append(stats_sum)
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stats_list.append(stat)
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tmp_start_period = start_period + timedelta(seconds=period)
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while time_stamp > tmp_start_period:
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stat = [
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tmp_start_period.strftime('%Y-%m-%dT%H:%M:%SZ')
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.decode('utf8')
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]
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for _statistics in requested_statistics:
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stat.append(0)
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tmp_start_period += timedelta(seconds=period)
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stats_list.append(stat)
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start_period = time_stamp
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stats_sum = 0
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stats_count = 0
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stats_count += 1
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stats_sum += value
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if 'min' in requested_statistics:
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if value < stats_min:
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stats_min = value
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if 'max' in requested_statistics:
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if value > stats_max:
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stats_max = value
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if stats_count:
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stat = [start_period.strftime('%Y-%m-%dT%H:%M:%SZ').decode(
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'utf8')]
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if 'avg' in requested_statistics:
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stat.append(stats_sum / stats_count)
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if 'min' in requested_statistics:
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stat.append(stats_min)
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if 'max' in requested_statistics:
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stat.append(stats_max)
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if 'count' in requested_statistics:
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stat.append(stats_count)
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if 'sum' in requested_statistics:
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stat.append(stats_sum)
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stats_list.append(stat)
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if end_timestamp:
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time_stamp = datetime.utcfromtimestamp(end_timestamp)
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else:
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time_stamp = datetime.now()
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tmp_start_period = start_period + timedelta(seconds=period)
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while time_stamp > tmp_start_period:
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stat = [
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tmp_start_period.strftime('%Y-%m-%dT%H:%M:%SZ')
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.decode('utf8')
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]
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for _statistics in requested_statistics:
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stat.append(0)
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tmp_start_period += timedelta(seconds=period)
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stats_list.append(stat)
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statistic = {u'name': name.decode('utf8'),
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# The last date in the stats list.
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u'id': stats_list[-1][0],
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u'dimensions': dimensions,
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u'columns': columns,
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u'statistics': stats_list}
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json_statistics_list.append(statistic)
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return json_statistics_list
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|
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except exceptions.RepositoryException as ex:
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LOG.exception(ex)
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raise ex
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except Exception as ex:
|
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LOG.exception(ex)
|
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raise exceptions.RepositoryException(ex)
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|
|
def alarm_history(self, tenant_id, alarm_id_list,
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offset, limit, start_timestamp=None,
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end_timestamp=None):
|
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|
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try:
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json_alarm_history_list = []
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|
|
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if not alarm_id_list:
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return json_alarm_history_list
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|
|
|
select_stmt = """
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select alarm_id, time_stamp, metrics, new_state, old_state,
|
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reason, reason_data, sub_alarms, tenant_id
|
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from alarm_state_history
|
|
where tenant_id = %s
|
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"""
|
|
|
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parms = [tenant_id.encode('utf8')]
|
|
|
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place_holders = ["%s"] * len(alarm_id_list)
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|
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in_clause = ' and alarm_id in ({}) '.format(
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",".join(place_holders))
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|
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select_stmt += in_clause
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|
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parms.extend(alarm_id_list)
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|
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if offset and offset != '0':
|
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|
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select_stmt += ' and time_stamp > %s '
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dt = timeutils.normalize_time(timeutils.parse_isotime(offset))
|
|
parms.append(self._get_millis_from_timestamp(dt))
|
|
|
|
elif start_timestamp:
|
|
|
|
select_stmt += ' and time_stamp >= %s '
|
|
parms.append(int(start_timestamp * 1000))
|
|
|
|
if end_timestamp:
|
|
select_stmt += ' and time_stamp <= %s '
|
|
parms.append(int(end_timestamp * 1000))
|
|
|
|
if limit:
|
|
select_stmt += ' limit %s '
|
|
parms.append(limit + 1)
|
|
|
|
stmt = SimpleStatement(select_stmt,
|
|
fetch_size=2147483647)
|
|
|
|
rows = self.cassandra_session.execute(stmt, parms)
|
|
|
|
if not rows:
|
|
return json_alarm_history_list
|
|
|
|
sorted_rows = sorted(rows, key=lambda row: row.time_stamp)
|
|
|
|
for (alarm_id, time_stamp, metrics, new_state, old_state, reason,
|
|
reason_data, sub_alarms, tenant_id) in sorted_rows:
|
|
|
|
alarm = {u'timestamp': self._isotime_msec(time_stamp),
|
|
u'alarm_id': alarm_id,
|
|
u'metrics': json.loads(metrics),
|
|
u'new_state': new_state,
|
|
u'old_state': old_state,
|
|
u'reason': reason,
|
|
u'reason_data': reason_data,
|
|
u'sub_alarms': json.loads(sub_alarms),
|
|
u'id': str(self._get_millis_from_timestamp(time_stamp)
|
|
).decode('utf8')}
|
|
|
|
if alarm[u'sub_alarms']:
|
|
for sub_alarm in alarm[u'sub_alarms']:
|
|
sub_expr = sub_alarm['sub_alarm_expression']
|
|
metric_def = sub_expr['metric_definition']
|
|
sub_expr['metric_name'] = metric_def['name']
|
|
sub_expr['dimensions'] = metric_def['dimensions']
|
|
del sub_expr['metric_definition']
|
|
|
|
json_alarm_history_list.append(alarm)
|
|
|
|
return json_alarm_history_list
|
|
|
|
except Exception as ex:
|
|
LOG.exception(ex)
|
|
raise exceptions.RepositoryException(ex)
|
|
|
|
@staticmethod
|
|
def _isotime_msec(timestamp):
|
|
"""Stringify datetime in ISO 8601 format + millisecond.
|
|
"""
|
|
st = timestamp.isoformat()
|
|
if '.' in st:
|
|
st = st[:23] + 'Z'
|
|
else:
|
|
st += '.000Z'
|
|
return st.decode('utf8')
|
|
|
|
@staticmethod
|
|
def _get_millis_from_timestamp(dt):
|
|
dt = timeutils.normalize_time(dt)
|
|
return int((dt - datetime(1970, 1, 1)).total_seconds() * 1000)
|
|
|
|
def _generate_dimension_values_id(self, metric_name, dimension_name):
|
|
sha1 = hashlib.sha1()
|
|
hashstr = "metricName=" + (metric_name or "") + "dimensionName=" + dimension_name
|
|
sha1.update(hashstr)
|
|
return sha1.hexdigest()
|
|
|
|
def list_dimension_values(self, tenant_id, region, metric_name,
|
|
dimension_name, offset, limit):
|
|
|
|
try:
|
|
|
|
select_stmt = """
|
|
select metric_map
|
|
from metric_map
|
|
where tenant_id = %s and region = %s
|
|
"""
|
|
|
|
parms = [tenant_id.encode('utf8'), region.encode('utf8')]
|
|
|
|
name_clause = self._build_name_clause(metric_name, parms)
|
|
|
|
dimensions = {dimension_name: None}
|
|
|
|
dimension_clause = self._build_dimensions_clause(dimensions, parms)
|
|
|
|
select_stmt += name_clause + dimension_clause
|
|
|
|
if offset:
|
|
select_stmt += ' and metric_hash > %s '
|
|
parms.append(bytearray(offset.decode('hex')))
|
|
|
|
if limit:
|
|
select_stmt += ' limit %s '
|
|
parms.append(limit + 1)
|
|
|
|
select_stmt += ' allow filtering '
|
|
|
|
stmt = SimpleStatement(select_stmt,
|
|
fetch_size=2147483647)
|
|
|
|
rows = self.cassandra_session.execute(stmt, parms)
|
|
|
|
sha1_id = self._generate_dimension_values_id(metric_name, dimension_name)
|
|
json_dim_vals = {u'id': sha1_id,
|
|
u'dimension_name': dimension_name,
|
|
u'values': []}
|
|
#
|
|
# Only return metric name if one was provided
|
|
#
|
|
if metric_name:
|
|
json_dim_vals[u'metric_name'] = metric_name
|
|
|
|
if not rows:
|
|
return json_dim_vals
|
|
|
|
dim_vals = set()
|
|
|
|
for row in rows:
|
|
|
|
metric_map = row.metric_map
|
|
for name, value in metric_map.iteritems():
|
|
|
|
name = urllib.unquote_plus(name)
|
|
value = urllib.unquote_plus(value)
|
|
|
|
if name == dimension_name:
|
|
dim_vals.add(value)
|
|
|
|
json_dim_vals[u'values'] = sorted(list(dim_vals))
|
|
|
|
return json_dim_vals
|
|
|
|
except Exception as ex:
|
|
LOG.exception(ex)
|
|
raise exceptions.RepositoryException(ex)
|