Toolset to render and manage AWS CloudFormation ( )
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import os
import time
import boto3
import botocore.session
from botocore import credentials
import logging
logger = logging.getLogger(__name__)
class BotoConnection:
_sessions = {}
_clients = {}
def __init__(self, profile=None, region=None):
self.region = region
self.profile = profile
def _get_session(self, profile=None, region=None):
if self._sessions.get((profile, region)):
return self._sessions[(profile, region)]
# Construct botocore session with cache
# Setup boto to cache STS tokens for MFA
# Change the cache path from the default of ~/.aws/boto/cache to the one used by awscli
session_vars = {}
if profile:
session_vars["profile"] = (None, None, profile, None)
if region and region != "global":
session_vars["region"] = (None, None, region, None)
session = botocore.session.Session(session_vars=session_vars)
cli_cache = os.path.join(os.path.expanduser("~"), ".aws/cli/cache")
).cache = credentials.JSONFileCache(cli_cache)
self._sessions[(profile, region)] = session
return session
def _get_client(self, service, profile=None, region=None):
if self._clients.get((profile, region, service)):
"Reusing boto session for {} {} {}".format(profile, region, service)
return self._clients[(profile, region, service)]
session = self._get_session(profile, region)
client = boto3.Session(botocore_session=session).client(service)
logger.debug("New boto session for {} {} {}".format(profile, region, service))
self._clients[(profile, region, service)] = client
return client
def call(self, service, command, kwargs={}, profile=None, region=None):
while True:
client = self._get_client(service, profile, region)
logger.debug("Calling {}:{}".format(client, command))
return getattr(client, command)(**kwargs)
except botocore.exceptions.ClientError as e:
if e.response["Error"]["Code"] == "Throttling":
"Throttling exception occured during {} - retry after 3s".format(
raise e