113 lines
2.8 KiB
Plaintext
113 lines
2.8 KiB
Plaintext
|
=========================
|
||
|
|
Getting Started with Moto
|
||
|
|
=========================
|
||
|
|
|
||
|
|
Installing Moto
|
||
|
|
---------------
|
||
|
|
|
||
|
|
You can use ``pip`` to install the latest released version of ``moto``::
|
||
|
|
|
||
|
|
pip install moto
|
||
|
|
|
||
|
|
If you want to install ``moto`` from source::
|
||
|
|
|
||
|
|
git clone git://github.com/spulec/moto.git
|
||
|
|
cd moto
|
||
|
|
python setup.py install
|
||
|
|
|
||
|
|
Moto usage
|
||
|
|
----------
|
||
|
|
|
||
|
|
For example we have the following code we want to test:
|
||
|
|
|
||
|
|
.. sourcecode:: python
|
||
|
|
|
||
|
|
import boto
|
||
|
|
from boto.s3.key import Key
|
||
|
|
|
||
|
|
class MyModel(object):
|
||
|
|
def __init__(self, name, value):
|
||
|
|
self.name = name
|
||
|
|
self.value = value
|
||
|
|
|
||
|
|
def save(self):
|
||
|
|
conn = boto.connect_s3()
|
||
|
|
bucket = conn.get_bucket('mybucket')
|
||
|
|
k = Key(bucket)
|
||
|
|
k.key = self.name
|
||
|
|
k.set_contents_from_string(self.value)
|
||
|
|
|
||
|
|
There are several method to do this, just keep in mind Moto creates a full blank environment.
|
||
|
|
|
||
|
|
Decorator
|
||
|
|
~~~~~~~~~
|
||
|
|
|
||
|
|
With a decorator wrapping all the calls to S3 are automatically mocked out.
|
||
|
|
|
||
|
|
.. sourcecode:: python
|
||
|
|
|
||
|
|
import boto
|
||
|
|
from moto import mock_s3
|
||
|
|
from mymodule import MyModel
|
||
|
|
|
||
|
|
@mock_s3
|
||
|
|
def test_my_model_save():
|
||
|
|
conn = boto.connect_s3()
|
||
|
|
# We need to create the bucket since this is all in Moto's 'virtual' AWS account
|
||
|
|
conn.create_bucket('mybucket')
|
||
|
|
|
||
|
|
model_instance = MyModel('steve', 'is awesome')
|
||
|
|
model_instance.save()
|
||
|
|
|
||
|
|
assert conn.get_bucket('mybucket').get_key('steve').get_contents_as_string() == 'is awesome'
|
||
|
|
|
||
|
|
Context manager
|
||
|
|
~~~~~~~~~~~~~~~
|
||
|
|
|
||
|
|
Same as decorator, every call inside ``with`` statement are mocked out.
|
||
|
|
|
||
|
|
.. sourcecode:: python
|
||
|
|
|
||
|
|
def test_my_model_save():
|
||
|
|
with mock_s3():
|
||
|
|
conn = boto.connect_s3()
|
||
|
|
conn.create_bucket('mybucket')
|
||
|
|
|
||
|
|
model_instance = MyModel('steve', 'is awesome')
|
||
|
|
model_instance.save()
|
||
|
|
|
||
|
|
assert conn.get_bucket('mybucket').get_key('steve').get_contents_as_string() == 'is awesome'
|
||
|
|
|
||
|
|
Raw
|
||
|
|
~~~
|
||
|
|
|
||
|
|
You can also start and stop manually the mocking.
|
||
|
|
|
||
|
|
.. sourcecode:: python
|
||
|
|
|
||
|
|
def test_my_model_save():
|
||
|
|
mock = mock_s3()
|
||
|
|
mock.start()
|
||
|
|
|
||
|
|
conn = boto.connect_s3()
|
||
|
|
conn.create_bucket('mybucket')
|
||
|
|
|
||
|
|
model_instance = MyModel('steve', 'is awesome')
|
||
|
|
model_instance.save()
|
||
|
|
|
||
|
|
assert conn.get_bucket('mybucket').get_key('steve').get_contents_as_string() == 'is awesome'
|
||
|
|
|
||
|
|
mock.stop()
|
||
|
|
|
||
|
|
Stand-alone server mode
|
||
|
|
~~~~~~~~~~~~~~~~~~~~~~~
|
||
|
|
|
||
|
|
Moto comes with a stand-alone server allowing you to mock out an AWS HTTP endpoint. It is very useful to test even if you don't use Python.
|
||
|
|
|
||
|
|
.. sourcecode:: bash
|
||
|
|
|
||
|
|
$ moto_server ec2 -p3000
|
||
|
|
* Running on http://127.0.0.1:3000/
|
||
|
|
|
||
|
|
This method isn't encouraged if you're using ``boto``, best is to use decorator method.
|