Client-side python libraries for system management through OpenLMI providers.
It comprises of small python eggs targeted on one or more OpenLMI providers. We call these eggs scripts. They are installed separately although they can depend on each other.
They contain python library itself as well as command line interface. This interface is registered with LMI Meta-command which is a part of OpenLMI Tools. LMI Meta-command loads it and offers to interface with broker through command line.
For more information please refer to online documentation on pythonhosted.
Each subdirectory of commands/
contains library for interfacing with
particular set of OpenLMI providers. Each contains its own setup.py
file,
that handles its installation and registration of script. They have one common
feature. Each such setup.py
must pass entry_points
dictionary to the
setup()
function, wich associates commands defined in script with its name
with LMI Meta-command.
Code base is written for python 2.7
.
There are following python dependencies:
- openlmi-tools >= 0.9.1 (tools-PyPI)
- python-docopt
- pandoc
Use standard setuptools
script for installation:
$ cd openlmi-scripts/commands/$CMD
$ make setup
$ python setup.py install --user
This installs particular client library and command line interface for LMI Meta-command.
Script eggs are also available on PyPI, install them with:
$ # add any provider you want to interact with
$ pip install --user openlmi-scripts-service openlmi-scripts-software
This documents how to quickly develop lmi scripts without the need to reinstall python eggs, when anything is changed. This presumes, that the development process takes place in a git repository checked out from git. It can be located anywhere on system.
Before we start with setting up an environment, please double check that you
don't have installed anything from openlmi-scripts in system path
(/usr/lib/python2.7/site-packages/lmi/scripts
should not exist). And make
sure, that user path is also cleared:
$ rm -rf $HOME/.local/lib/python2.7/site-packages/lmi*
$ rm -rf $HOME/.local/lib/python2.7/site-packages/openlmi*
Install all dependencies (named above).
Either via rpms (on Fedora or RHEL) or from respective git repositories or from PyPI.
Let's setup an environment:
-
Create a workspace directory for current
$USER
(let's call it aWSP
). This is a place, where our eggs and binaries will be "installed". It can be located anywhere, for example:$ WSP=~/.python_workspace $ mkdir $WSP
-
Add workspace to your python path to make all modules installed there importable (you can add this to your
~/.bashrc
):$ export PYTHONPATH="$WSP:$PYTHONPATH"
-
Add workspace to your PATH, so the installed binaries can be run:
$ export PATH="$WSP:$PATH"
-
Now let's "install" to our workspace. First
cd
to checked outopenlmi-scripts
repository. -
Install them and any commands you want -- possibly your own
$ DEVELOPDIR="$WSP" make develop-all
Now any change made to openlmi-scripts is immediately reflected in LMI Meta-command.
Since PyPI expects README file to be in a reStructuredText markup
language and the one present is written in markdown, it needs to be
converted to it. So please make sure you have pandoc
installed before
running:
$ make upload
All the scripts share the same version. Version string resides in VERSION
file in root directory. When changed, all setup.py
scripts need to be
regenerated. This is done with:
$ make setup-all
There are various rules provided to ease the development. Most of them may be applied to all commands/libraries at once. They are:
clean
- remove temporary and generated filesdevelop
- install library in developing modedoc
- build html documentationreadme
- createREADME.txt
file out ofREADME.md
sdist
- creates source tarball indist
directorysetup
- writes asetup.py
anddoc/conf.py
files from their skeletonsupload
- upload to PyPIupload-docs
- upload documentation to pythonhosted
Each script's Makefile
has the same interface. The root Makefile
is an
exception. It takes care of command libraries. It defines all the rules above
with -all
suffix. They operate on all subcommands at once. Such rules are:
clean-all
doc-all
develop-all
setup-all
upload-all
upload-docs-all
To limit the set of commands that shall be processed, the COMMANDS
environment variable may be used. For example following command:
$ COMMANDS='storage software networking' make clean-all
Will clean storage, software and networking directories.