* CloudFormation, Logs: Add physical_resource_id to LogGroup https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-logs-loggroup.html#aws-resource-logs-loggroup-return-values This brings CloudFormation's Ref behavior more in line with actual AWS behavior. Previously, it returned an instance of a LogGroup model. I didn't add a test case for this but I'm happy to do so if requested. * Resolve LogGroup Fn::GetAtt https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-logs-loggroup.html#aws-resource-logs-loggroup-return-values * Add type annotations * Add return type annotation * Updating CloudFormation coverage
Moto - Mock AWS Services
Install
$ pip install 'moto[ec2,s3,all]'
In a nutshell
Moto is a library that allows your tests to easily mock out AWS Services.
Imagine you have the following python code that you want to test:
import boto3
class MyModel:
def __init__(self, name, value):
self.name = name
self.value = value
def save(self):
s3 = boto3.client("s3", region_name="us-east-1")
s3.put_object(Bucket="mybucket", Key=self.name, Body=self.value)
Take a minute to think how you would have tested that in the past.
Now see how you could test it with Moto:
import boto3
from moto import mock_s3
from mymodule import MyModel
@mock_s3
def test_my_model_save():
conn = boto3.resource("s3", region_name="us-east-1")
# We need to create the bucket since this is all in Moto's 'virtual' AWS account
conn.create_bucket(Bucket="mybucket")
model_instance = MyModel("steve", "is awesome")
model_instance.save()
body = conn.Object("mybucket", "steve").get()["Body"].read().decode("utf-8")
assert body == "is awesome"
With the decorator wrapping the test, all the calls to s3 are automatically mocked out. The mock keeps the state of the buckets and keys.
For a full list of which services and features are covered, please see our implementation coverage.
Documentation
The full documentation can be found here:
Description
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