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Simplified AWS Functions

Project description

License: MPL 2.0 pypi https://gitter.im/simple-AWS/community issues last commit

SimpleAWS

Version 0.1.6

Simplified Libraries for some of the most common AWS resources. The purpose of SimpleAWS is to add one layer of abstraction, and remove a lot of the guess-work from interfacing with some AWS resources.

The options are limited on purpose - this is not designed to replace boto3, but to provide an easier entry into using AWS resources with python.

AWS Requirements

SimpleAWS uses profiles and secret/access keys. Put a file called 'credentials' inside the .aws directory in your home directory (the home of the user running this code.) The format of the file is:

[profilename]
aws_access_key_id = <key>
aws_secret_access_key = <key>

Installation

pip install simple-aws

Usage

from simple_AWS.aws_functions import *
from simple_AWS.dynamodb_functions import *
from simple_AWS.s3_functions import *
from simple_AWS.sns_functions import *
from simple_AWS.sqs_functions import *

Overall

Get Regions for a service

regions = aws.list_regions(service=service)

S3

List buckets

s3simple = S3Simple(region_name='region', profile='profile')
bucket_list = s3simple.list_buckets()
# returns a list

Get a list of files in a bucket

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
file_list = s3simple.s3_bucket_contents()
# returns a list

Get a filtered list of files in a bucket

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
filtered_list = s3simple.s3_bucket_filter(prefix='file_name.ext')
# returns a list

Download a file

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
s3simple.download_file(file_name='file_name.ext', output_file='/path/file_name.txt')

Create Bucket

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='new-bucket-name')
new_bucket = s3simple3.s3_new_bucket()

Delete Bucket

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
s3simple.s3_delete_bucket()

Saving text to file

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
key = 'test_item.txt'
    body = """
    Hundreds of thousands light years shores of the cosmic ocean circumnavigated white dwarf Rig Veda. 
    Courage of our questions something incredible is waiting to be known extraordinary claims require 
    extraordinary evidence brain is the seed of intelligence laws of physics extraordinary claims require 
    extraordinary evidence. Dream of the mind's eye invent the universe emerged into consciousness made 
    in the interiors of collapsing stars something incredible is waiting to be known finite but unbounded.
    """
s3simple.put_to_s3(key=key, body=body)

Sending file to S3

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
s3simple.send_file_to_s3(local_file='/path/file_name.ext', s3_file='file_name.ext')

To make that file publically available (not recommended!):

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
s3simple.send_file_to_s3(local_file='/path/file_name.ext', s3_file='file_name.ext', public=True)

Delete File

s3simple = S3Simple(region_name='region', profile='profile', bucket_name='bucket-name')
s3simple.delete_s3_file(file_name=key)

DynamoDB

Checking to see if a table exists

dbsimple = DynamodbSimple(table_name='table_name', region_name='region', profile='profile') 
# region and profile are optional
if dbsimple.check_table(): # returns True/False
    ...

List all Tables

dbsimple = DynamodbSimple(table_name=test_new_table, region_name=test_region, profile=test_profile)
table_list = dbsimple.list_tables()
# returns a list

Creating a Table

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
dbsimple.create_table(
    partition_key='foo',
    sort_key='bar', #optional
    throughput='5'
)

Delete a table

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
dbsimple.delete_table()

Writing data in bulk

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
dbsimple.batch_write_items(items=items) # items is a list of dicts

Writing individual items

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
for item in items:
    dbsimple.insert_item(item=item) #item is a dict

Dynamo Query

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
data = dbsimple.dynamo_query(
    field='foo', # field must be partition key, sort key or indexed
    value='baseball'
    )
# returns a list of dicts

Dynamo Scan

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
data = dbsimple.dynamo_scan(
    key='moo', # any key
    value='mar'
)
# returns a list of dicts

Get all data

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
all_data = dbsimple.get_all() # returns a list of dicts

Delete key/value pair

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
dbsimple.delete_item(
    key='foo', # key must be partition key, sort key or indexed
    value='giraffe'
)

Update DynamoDB entry

dbsimple = DynamodbSimple(region_name='region', profile='profile', table_name='table_name')
dbsimple.update_item(
    key='woo',
    value='sageing',
    id_key='foo', # key must be partition key, sort key or indexed
    id_value='yar'
)

SQS

Does a Queue Exist?

sqs_simple = sqsSimple(region_name='region', profile='profile', queue_name='queue_name')
sqs_simple.queue_exists()

List Queues

sqs_simple = sqsSimple(region_name='region', profile='profile')
sqs_list = sqs_simple.list_queues()
# returns a list

Create Queue

sqs_simple = sqsSimple(region_name='region', profile='profile') 
sqs_simple.create_queue(queue='queue_name')

Delete Queue

sqs_simple = sqsSimple(region_name='region', profile='profile', queue='queue_name')
sqs_simple.delete_queue()

Send Message

sqs_simple = sqsSimple(region_name='region', profile='profile', queue='queue_name')
sqs_simple.send_sqs_message(message=message) # message is text

Get Messages

sqs_simple = sqsSimple(region_name='region', profile='profile', queue='queue_name')
messages = sqs_simple.get_sqs_messages(num_messages=5)
# returns a list

Purge Queue

sqs_simple = sqsSimple(region_name='region', profile='profile', queue='queue_name')
sqs_simple.purge_queue()

SNS

List Topics

sns_simple = snsSimple(region_name='region', profile='profile')
topics = sns_simple.list_topics()
# Returns a list

List Subscriptions

sns_simple = snsSimple(region_name='region', profile='profile')
subscriptions = sns_simple.list_subscriptions()
# Returns a list

Send Message

sns_simple = snsSimple(region_name='region', profile='profile')
sns_simple.send_notification(arn='AWS Topic ARN', subject='subject', message='message')

CloudFront

List Distributions

cfsimple = Cloudfront_Simple(region_name=test_region, profile=test_profile)
dists = cfsimple.cf_list()

Get Details of a Distribution

cfsimple = Cloudfront_Simple(region_name=test_region, profile=test_profile)
details = cfsimple.cf_details(id=cf_id)

or

details = cfsimple.cf_details(domain=domain)
    
or

details3 = cfsimple.cf_details(alias=alias)

or

details4 = cfsimple.cf_details(origin=origin)

Create an Invalidation

 cfsimple = Cloudfront_Simple(region_name=region, profile=profile)
 response = cfsimple.cf_invalidate(cf_id, path)

EC2

List Instances

ec2 = ec2Simple(region_name=region, profile=test_profile)
instances = ec2.list_instances()
# Returns instance iterator

Tests

There is under /tests simple_aws_tests_sample.py, with example code to test each of the services.

CLI

Under /cli there are two files: simple_aws_inventory_sample.py, which allows you to run an inventory of all resources under the following services: EC2 instances, S3 buckets, DynamoDB tables, SNS Topics and subscriptions, and SQS Queues under all regions. The other is simple_aws_cf_invalidation.py, which requires the python library 'click', and can create an invalidation by domain name.

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