Go to file
2022-03-19 12:00:39 -01:00
.github/workflows Update test_outdated_versions.yml (#4945) 2022-03-18 10:17:21 -01:00
docs Prepare release 3.1.1 (#4947) 2022-03-18 11:25:27 -01:00
moto AWSLambda - Policy improvements (#4949) 2022-03-19 12:00:39 -01:00
other_langs Added an example of using a moto server with Scala 2019-07-07 14:17:32 +03:00
scripts Deprecate mock_dynamodb2 (#4919) 2022-03-09 16:57:25 -01:00
tests AWSLambda - Policy improvements (#4949) 2022-03-19 12:00:39 -01:00
.coveragerc
.gitignore
.readthedocs.yaml
AUTHORS.md
CHANGELOG.md Post-release steps 2022-03-18 12:29:01 +00:00
CODE_OF_CONDUCT.md
codecov.yml
CONFIG_README.md address PR comments 2020-09-21 17:42:44 -06:00
CONTRIBUTING.md
Dockerfile
IMPLEMENTATION_COVERAGE.md Prepare release 3.1.1 (#4947) 2022-03-18 11:25:27 -01:00
ISSUE_TEMPLATE.md Add docs on contributing and code of conduct. 2017-02-26 19:55:19 -05:00
LICENSE Add license. 2013-04-26 17:13:43 -04:00
Makefile Pylint - Enable more rules on source and tests-directory (#4929) 2022-03-11 20:28:45 -01:00
MANIFEST.in
README.md
requirements-dev.txt Update Black + formatting (#4926) 2022-03-10 13:39:59 -01:00
requirements-tests.txt Parallelize tests - Part 1 (#4368) 2021-10-05 17:11:07 +00:00
requirements.txt
setup.cfg Pylint - Enable more rules on source and tests-directory (#4929) 2022-03-11 20:28:45 -01:00
setup.py Remove more DynamoDB2 references (#4933) 2022-03-11 21:29:16 -01:00
update_version_from_git.py Add validity dates to IoT fakecert (#4093) 2021-07-27 08:59:01 +01:00

Moto - Mock AWS Services

Join the chat at https://gitter.im/awsmoto/Lobby

Build Status Coverage Status Docs PyPI PyPI - Python Version PyPI - Downloads Code style: black

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(object):
    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:

http://docs.getmoto.org/en/latest/