Source code: https://github.com/juju/python-libjuju
Bug reports: https://github.com/juju/python-libjuju/issues
Documentation: https://pythonlibjuju.readthedocs.io/en/latest/
.. code:: bash
pip3 install juju
Here's a simple example that shows basic usage of the library. The example connects to the currently active Juju model, deploys a single unit of the ubuntu charm, then exits:
Note : Pylibjuju requires an already bootstrapped Juju controller to connect to.
.. code:: python
import asyncio import logging import sys
from juju.model import Model
async def deploy():
# server before we can use it.
model = Model()
# Connect to the currently active Juju model
await model.connect()
try:
# Deploy a single unit of the ubuntu charm, using the latest revision
# from the stable channel of the Charm Store.
ubuntu_app = await model.deploy(
'ubuntu',
application_name='my-ubuntu',
)
if '--wait' in sys.argv:
# optionally block until the application is ready
await model.wait_for_idle(status='active')
finally:
# Disconnect from the api server and cleanup.
await model.disconnect()
def main(): logging.basicConfig(level=logging.INFO)
# If you want to see everything sent over the wire, set this to DEBUG.
ws_logger = logging.getLogger('websockets.protocol')
ws_logger.setLevel(logging.INFO)
# Run the deploy coroutine in an asyncio event loop, using a helper
# that abstracts loop creation and teardown.
asyncio.run(deploy())
if name == 'main': main()
More examples can be found in the docs, as well as in the examples/
directory of the source tree which can be run using tox
. For
example, to run examples/connect_current_model.py
, use:
.. code:: bash
tox -e example -- examples/connect_current_model.py
REPL ^^^^
To experiment with the library in a REPL, launch python in asyncio mode
.. code:: bash
$ python3 -m asyncio
and then, to connect to the current model and fetch status:
.. code::
from juju.model import Model model = Model() await model.connect_current() status = await model.get_status()
The current Pylibjuju release policy tracks the Juju release cadence. In particular, whenever Juju makes a latest/stable release, pylibjuju pushes out a release with the same version in the following week. Newly generated schemas will be updated per Juju releases.