* X-Ray Client SDK patched
Fixes#1250
* Fixed flake8
* Fixed some issues
* Fixed flake8
* Fixed more typos
* Fixed python2 string
* Fixed aws-sdk patch order
* Added more test cases to test the patching
* updates
- support lambda messages from SNS
- run lambda in docker container
* decode output
* populate timeout
* simplify
* whoops
* skeletons of cloudwatchlogs
* impl filter log streams
* fix logging
* PEP fixes
* PEP fixes
* fix reset
* fix reset
* add new endpoint
* fix region name
* add docker
* try to fix tests
* try to fix travis issue with boto
* fix escaping in urls
* fix environment variables
* fix PEP
* more pep
* switch back to precise
* another fix attempt
* fix typo
* fix lambda invoke
* fix more unittests
* work on getting this to work in new scheme
* fix py2
* fix error
* fix tests when running in server mode
* more lambda fixes
* try running with latest docker
adapted from aiodocker
* switch to docker python client
* pep fixes
* switch to docker volume
* fix unittest
* fix invoke from sns
* fix zip2tar
* add hack impl for get_function with zip
* try fix
* fix for py < 3.6
* add volume refcount
* try to fix travis
* docker test
* fix yaml
* try fix
* update endpoints
* fix
* another attempt
* try again
* fix recursive import
* refactor fix
* revert changes with better fix
* more reverts
* wait for service to come up
* add back detached mode
* sleep and add another exception type
* put this back for logging
* put back with note
* whoops :)
* docker in docker!
* fix invalid url
* hopefully last fix!
* fix lambda regions
* fix protocol
* travis!!!!
* just run lambda test for now
* use one print
* fix escaping
* another attempt
* yet another
* re-enable all tests
* fixes
* fix for py2
* revert change
* fix for py2.7
* fix output ordering
* remove this given there's a new unittest that covers it
* changes based on review
- add skeleton logs test file
- switch to docker image that matches test env
- fix mock_logs import
* add readme entry
This revision includes:
- A handler for requests for which content-type is JSON (from boto3).
- A decorator (generate_boto3_response) to convert XML responses to
JSON (for boto3). This way, existing response templates for boto can
be shared for generating boto3 response.
- Utility class/functions to use botocore's service specification data
(accessible under botocore.data) for type casting, from query
parameters to Python objects and XML to JSON.
- Updates to response handlers/models to cover more EMR end points and
mockable parameters
Adding `moto` to the requirements file for my Django project pulls in `flask`, even though I don't need the server component. By making the `server` 'extra' then there is no hard requirement on flask.
Moto imports a class in boto that did not exist before boto 2.33.0
Partial traceback showing ImportError with versions of boto < 2.33.0:
File "/src/python/moto/moto/__init__.py", line 8, in <module>
from .autoscaling import mock_autoscaling # flake8: noqa
File "/src/python/moto/moto/autoscaling/__init__.py", line 2, in <module>
from .models import autoscaling_backends
File "/src/python/moto/moto/autoscaling/models.py", line 5, in <module>
from moto.elb import elb_backends
File "/src/python/moto/moto/elb/__init__.py", line 2, in <module>
from .models import elb_backends
File "/src/python/moto/moto/elb/models.py", line 4, in <module>
from boto.ec2.elb.attributes import (
ImportError: cannot import name ConnectionSettingAttribute
