botor 0.0.1dev8

# botor
A thin wrapper around boto3

## features

- intelligent connection caching.
- handles pagination for certain client methods.
- rate limit handling, with exponential backoff.
- multi-account sts:assumerole abstraction.

## Example

# Using wrapper methods:
from botor.aws.sqs import get_queue, get_messages
conn_details = {
'account_number': '111111111111',
'assume_role': 'MyRole',
'session_name': 'MySession',
'region': 'us-east-1'
}
queue = get_queue(queue_name='MyQueue', **conn_details)
messages = get_messages(queue=queue)


# Using the botor class
from botor import Botor
Botor.go('kms.client.list_aliases', **conn_details)

botor = Botor(**conn_details)
botor.call('kms.client.list_aliases')


# directly asking for a boto3 connection:
from botor.aws.sts import boto3_cached_conn
conn = boto3_cached_conn('ec2', **conn_details)


# Over your entire environment:
from botor.decorators import iter_account_region

accounts = ['000000000000', '111111111111']

conn_details = {
'assume_role': 'MyRole',
'session_name': 'MySession',
'conn_type': 'boto3'
}

@iter_account_region('kms', accounts=accounts, regions=['us-east-1'], **conn_details)
def list_keys(conn=None):
return conn.list_keys()['Keys']