- Using set based comparison was not working consistently
- With != operator worked locally but consistently failed on Travis
- With 'not in' operator failed locally and on Travis
- Removed required_if.
- Fixed doc strings.
- Removed debug output being appended to actions.
- Put import of basics at bottom to be consistent with other docker modules
- Added 'containers' alias to 'connected' param
- Put facts in ansible_facts.ansible_docker_network
The "Developing Modules" documentation states:
Include a minimum of dependencies if possible. If there are
dependencies, document them at the top of the module file, and have
the module raise JSON error messages when the import fails.
When docker_service runs on a remote host without PyYAML it crashes with
ImportError.
This patch raises a JSON error message when import fails, but only if
the PyYAML module is actually used. It's only needed when the
"definition" parameter is given.
Signed-off-by: Stefan Hajnoczi <stefanha@gmail.com>
Reading the entire tar file into memory can result in out-of-memory
conditions such as this traceback:
Traceback (most recent call last):
File "/tmp/ansible_YELTSu/ansible_module_docker_image.py", line 486, in load_image
self.client.load_image(image_data)
File "/usr/local/lib/python2.7/dist-packages/docker/api/image.py", line 147, in load_image
res = self._post(self._url("/images/load"), data=data)
...
File "/usr/lib/python2.7/httplib.py", line 997, in endheaders
self._send_output(message_body)
File "/usr/lib/python2.7/httplib.py", line 848, in _send_output
msg += message_body
MemoryError
Luckily docker-py's load_image(), which calls requests post(), accepts a
file-like object instead of a string. Pass in the file object to avoid
reading the full file into memory. This allows larger tar files to load
succesfully.
Signed-off-by: Stefan Hajnoczi <stefanha@gmail.com>