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CHANGELOG.rst |
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MANIFEST.json |
README.md |
requirements.txt |
test-requirements.txt |
tox.ini |
This collection is a library for the cloud modules. It's the home of the following component:
More content may be included later.
The traditional execution flow of an Ansible module includes the following steps:
These steps happen for each task of a playbook, and on every host.
Most of the time, the execution of a module is fast enough for the user. However, sometime the module requires an important amount of time, just to initialize itself. This is a common situation with the API based modules. A classic initialization involves the following steps:
All these steps are time consuming and the same operations will be running again and again.
For instance, here:
import openstack
: takes 0.569sclient = openstack.connect()
: takes 0.065sclient.authorize()
: takes 1.360sThese numbers are from test ran against VexxHost public cloud.
In this case, it's a 2s-ish overhead per task. If the playbook comes with 10 tasks, the execution time cannot go below 20s.
AnsibleTurboModule
is actually a class that inherites from
the standard AnsibleModule
class that your modules probably
already use.
The big difference is that when an module starts, it also spawns
a little Python daemon. If a daemon already exists, it will just
reuse it.
All the module logic is run inside this Python daemon. This means:
AnsibleTurboModule
?If you are a collection maintainer and want to enable AnsibleTurboModule
, you can
follow these steps.
Your module should inherit from AnsibleTurboModule
, instead of AnsibleModule
.
from ansible_module.turbo.module import AnsibleTurboModule as AnsibleModule
You can also use the functools.lru_cache()
decorator to ask Python to cache
the result of an operation, like a network session creation.
Finally, if some of the dependeded libraries are large, it may be nice
to defer your module imports, and do the loading AFTER the
AnsibleTurboModule
instance creation.
The Ansible module is slightly different while using AnsibleTurboModule. Here are some examples with OpenStack and VMware.
These examples use functools.lru_cache
that is the Python core since 3.3.
lru_cache()
decorator will managed the cache. It uses the function parameters
as unicity criteria.
In this demo, we run one playbook that do several os_keypair
calls. For the first time, we run the regular Ansible module.
The second time, we run the same playbook, but with the modified
version.
The daemon kills itself after 15s, and communication are done
through an Unix socket.
It runs in one single process and uses asyncio
internally.
Consequently you can use the async
keyword in your Ansible module.
This will be handy if you interact with a lot of remote systems
at the same time.
ansible_module.turbo
open an Unix socket to interact with the background service.
We use this service to open the connection toward the different target systems.
This is similar to what SSH does with the sockets.
Keep in mind that:
ansible-playbook
at the same time, they will have access to the same cache.When a module stores a session in a cache, it's a good idea to use a hash of the authentication information to identify the session.
.. note:: You may want to isolate your Ansible environemt in a container, in this case you can consider https://github.com/ansible/ansible-builder
ansible_module.turbo
uses exception to communicate a result back to the module.
EmbeddedModuleFailure
is raised when json_fail()
is called.EmbeddedModuleSuccess
is raised in case of success and return the result to the origin module processthe origin.Thse exceptions are defined in ansible_collections.cloud.common.plugins.module_utils.turbo.exceptions
.
You can raise EmbeddedModuleFailure
exception yourself, for instance from a module in module_utils
.
Be careful with the catch all exception (except Exception:
). Not only they are bad practice, but also may interface with this mechanism.
You may want to manually start the server. This can be done with the following command:
.. code-block:: shell
PYTHONPATH=$HOME/.ansible/collections python -m ansible_collections.cloud.common.plugins.module_utils.turbo.server --socket-path $HOME/.ansible/tmp/turbo_mode.foo.bar.socket
Replace foo.bar
with the name of the collection.
You can use the --help
argument to get a list of the optional parameters.
See CHANGELOG.rst.
This collection follows Semantic Versioning. More details on versioning can be found in the Ansible docs.
We plan to regularly release new minor or bugfix versions once new features or bugfixes have been implemented.
Releasing happens by tagging the main
branch.
We welcome community contributions to this collection. If you find problems, please open an issue or create a PR against the Cloud.Common collection repository.
We follow Ansible Code of Conduct in all our interactions within this project.
If you encounter abusive behavior violating the Ansible Code of Conduct, please refer to the policy violations section of the Code of Conduct for information on how to raise a complaint.
GNU General Public License v3.0 or later.
See LICENSE to see the full text.