# Copyright 2017-2018 Capital One Services, LLC
#
# 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.
try:
from botocore.config import Config
except ImportError:
from c7n.config import Bag as Config # pragma: no cover
from .core import EventAction
from c7n import utils
from c7n.manager import resources
from c7n.version import version as VERSION
[docs]class LambdaInvoke(EventAction):
"""Invoke an arbitrary lambda
serialized invocation parameters
- resources / collection of resources
- policy / policy that is invoke the lambda
- action / action that is invoking the lambda
- event / cloud trail event if any
- version / version of custodian invoking the lambda
We automatically batch into sets of 250 for invocation,
We try to utilize async invocation by default, this imposes
some greater size limits of 128kb which means we batch
invoke.
Example::
- type: invoke-lambda
function: my-function
Note if your synchronously invoking the lambda, you may also need
to configure the timeout, to avoid multiple invokes. The default
is 90s, if the lambda doesn't respond within that time the boto
sdk will invoke the lambda again with the same
arguments. Alternatively use async: true
"""
schema_alias = True
schema = {
'type': 'object',
'required': ['type', 'function'],
'properties': {
'type': {'enum': ['invoke-lambda']},
'function': {'type': 'string'},
'async': {'type': 'boolean'},
'qualifier': {'type': 'string'},
'batch_size': {'type': 'integer'},
'timeout': {'type': 'integer'},
}
}
permissions = ('lambda:InvokeFunction',)
[docs] def process(self, resources, event=None):
params = dict(FunctionName=self.data['function'])
if self.data.get('qualifier'):
params['Qualifier'] = self.data['Qualifier']
if self.data.get('async', True):
params['InvocationType'] = 'Event'
config = Config(read_timeout=self.data.get('timeout', 90))
client = utils.local_session(
self.manager.session_factory).client('lambda', config=config)
payload = {
'version': VERSION,
'event': event,
'action': self.data,
'policy': self.manager.data}
results = []
for resource_set in utils.chunks(resources, self.data.get('batch_size', 250)):
payload['resources'] = resource_set
params['Payload'] = utils.dumps(payload)
result = client.invoke(**params)
result['Payload'] = result['Payload'].read()
if isinstance(result['Payload'], bytes):
result['Payload'] = result['Payload'].decode('utf-8')
results.append(result)
return results
[docs]def register_action_invoke_lambda(registry, _):
for resource in registry.keys():
klass = registry.get(resource)
klass.action_registry.register('invoke-lambda', LambdaInvoke)
resources.subscribe(resources.EVENT_FINAL, register_action_invoke_lambda)