Source code for monasca_log_api.reference.v2.common.service
# Copyright 2015 kornicameister@gmail.com
# Copyright 2016 FUJITSU LIMITED
#
# 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.
import datetime
from monasca_common.rest import utils as rest_utils
from oslo_config import cfg
from oslo_log import log
from monasca_log_api.api import exceptions
from monasca_log_api.reference.common import model
from monasca_log_api.reference.common import validation
LOG = log.getLogger(__name__)
CONF = cfg.CONF
_DEFAULT_MAX_LOG_SIZE = 1024 * 1024
service_opts = [
cfg.StrOpt('region',
default=None,
help='Region'),
cfg.IntOpt('max_log_size',
default=_DEFAULT_MAX_LOG_SIZE,
help=('Refers to payload/envelope size. If either is exceeded'
'API will throw an error'))
]
service_group = cfg.OptGroup(name='service', title='service')
CONF.register_group(service_group)
CONF.register_opts(service_opts, service_group)
EPOCH_START = datetime.datetime(1970, 1, 1)
[docs]class LogCreator(object):
"""Transforms logs,
Takes care of transforming information received via
HTTP requests into log and log envelopes objects.
For more details see following:
* :py:func:`LogCreator.new_log`
* :py:func:`LogCreator.new_log_envelope`
"""
def __init__(self):
self._log = log.getLogger('service.LogCreator')
self._log.info('Initializing LogCreator')
@staticmethod
def _create_meta_info(tenant_id):
"""Creates meta block for log envelope.
Additionally method accesses oslo configuration,
looking for *service.region* configuration property.
For more details see :py:data:`service_opts`
:param tenant_id: ID of the tenant
:type tenant_id: str
:return: meta block
:rtype: dict
"""
return {
'tenantId': tenant_id,
'region': cfg.CONF.service.region
}
[docs] def new_log(self,
application_type,
dimensions,
payload,
content_type='application/json',
validate=True):
"""Creates new log object.
:param str application_type: origin of the log
:param dict dimensions: dictionary of dimensions (any data sent to api)
:param stream payload: stream to read log entry from
:param str content_type: actual content type used to send data to
server
:param bool validate: by default True, marks if log should be validated
:return: log object
:rtype: dict
:keyword: log_object
"""
payload = rest_utils.read_body(payload, content_type)
if not payload:
return None
# normalize_yet_again
application_type = parse_application_type(application_type)
dimensions = parse_dimensions(dimensions)
if validate:
self._log.debug('Validation enabled, proceeding with validation')
validation.validate_application_type(application_type)
validation.validate_dimensions(dimensions)
self._log.debug(
'application_type=%s,dimensions=%s' % (
application_type, dimensions)
)
log_object = {}
if content_type == 'application/json':
log_object.update(payload)
else:
log_object.update({'message': payload})
validation.validate_log_message(log_object)
dimensions['component'] = application_type
log_object.update({'dimensions': dimensions})
return log_object
[docs] def new_log_envelope(self, log_object, tenant_id):
return model.Envelope(
log=log_object,
meta=self._create_meta_info(tenant_id)
)
[docs]def parse_application_type(app_type):
if app_type:
app_type = app_type.strip()
return app_type if app_type else None
[docs]def parse_dimensions(dimensions):
if not dimensions:
raise exceptions.HTTPUnprocessableEntity('Dimension are required')
new_dimensions = {}
dimensions = map(str.strip, dimensions.split(','))
for dim in dimensions:
if not dim:
raise exceptions.HTTPUnprocessableEntity(
'Dimension cannot be empty')
elif ':' not in dim:
raise exceptions.HTTPUnprocessableEntity(
'%s is not a valid dimension' % dim)
dim = dim.split(':')
name = str(dim[0].strip()) if dim[0] else None
value = str(dim[1].strip()) if dim[1] else None
if name and value:
new_dimensions.update({name: value})
return new_dimensions