alfred is an extensible building tool that can replace a Makefile or Fabric. Writing commands in python is done in minutes.
Project description
Alfred
Alfred is an extensible building tool that can replace a Makefile or Fabric. Writing commands in python is done in a few minutes, even in the case of a mono-repository.
# use alfred to run continuous integration process
alfred ci
# use alfred to publish a package on pypi
alfred publish
- Getting started
- Links
- Cookbook
- Behind the scene
- Why using alfred instead of Makefile or Bash scripts
- Why not using alfred
- The latest version
- Cookbook
- Developper guideline
- Contributors
- License
Getting started
To configure a python project to use alfred, here is the procedure:
pip3 install alfred-cli
alfred init
A hello_world command was created for the example:
alfred hello_world --name "Fabien"
A file .alfred.yml
will be initialized at the root of the repository.
Links
- Documentation : https://alfred-cli.readthedocs.io/en/latest
- PyPI Release : https://pypi.org/project/alfred-cli
- Source code: https://github.com/FabienArcellier/alfred-cli
- Chat: https://discord.gg/nMn9YPRGSY
Cookbook
Add a new command
You can add your command in a new module in ./alfred
.
In this example we will add the command alfred lint
:
import os
import alfred
ROOT_DIR = os.path.realpath(os.path.join(__file__, "..", ".."))
@alfred.command('lint', help="validate alfred using pylint on the package alfred")
def lint():
# get the command pylint in the user system or show error message if it's missing
pylint = alfred.sh('pylint', "pylint is not installed")
# behind the scene, it invokes the command `pylint alfred`
alfred.run(pylint, ["src/alfred"])
Behind the scene
Alfred rely heavily on click and plumblum :
Why using alfred instead of Makefile or Bash scripts
One of the advantages of bash
and Makefile
is their native presence in many environments.
By default, a Makefile
allows you to segment these commands efficiently. Autocompletion is first-citizen
feature. Alfred doesn't have it yet.
Alfred allows you to create more complex commands than with Make. From the start, you benefit from a
formatted documentation for each of your orders. It is easy to create one command per file thanks
to auto discovery. You can see an implementation in this repository in alfred_cmd/
.
Thanks to the power of Click, it's easy to add options to your commands. They allow for example to implement flags for your CI process which offer you an execution for the frontend.
Alfred allows you to mix shell code with python instructions. In some cases, it allows you to perform efficient processing on API calls. You can use either the cli (for git, ...) or pythons libraries depending on the nature of the treatment you want to perform.
In our development process, we frequently need to operate on application with several process (frontend in react,
server in flask, two external service in flask). To mount those process, we use honcho
with alfred
to load Procfile
that will manage those process.
Why not using alfred
If you want to create a cli you will distribute, alfred is not designed for that. I won't recommand as well to use it to build a data application even if you can use python and many library.
Alfred command can import only installed library. You can't use relative import. That makes difficult to share code between your commands.
The latest version
You can find the latest version to ...
git clone https://github.com/FabienArcellier/alfred-cli.git
Cookbook
Display the commands really executed behind the scene
You can display the commands really executed, either to debug the arguments, either to run in your terminal again with other attributes.
The option d
/ --debug
display all the shell commands that are executed by
alfred.run()
in your alfred command.
$ alfred -d ci
2022-02-07 19:38:31,834 DEBUG - /home/far/.local/share/virtualenvs/20210821_1530__alfred-cli-a8dwJte3/bin/python -m unittest discover units - wd: /home/far/documents/projects/20210821_1530__alfred-cli/tests
.
----------------------------------------------------------------------
Ran 1 test in 0.000s
OK
Customize a command for a specific OS
Alfred can run a specific part of the build for an OS, for example to only run the linter on a linux machine.
@alfred.command('ci', help="execute continuous integration process of alfred")
@alfred.option('-v', '--verbose', is_flag=True)
def ci(verbose: bool):
if alfred.is_posix():
alfred.invoke_command('lint', verbose=verbose)
else:
print("linter is not supported on non posix platform as windows")
alfred.invoke_command('tests', verbose=verbose)
the alfred.is_posix
, alfred.is_linux
, alfred.is_macos
, alfred.is_windows
functions allow you to quickly
target the environment on which specific processing must be performed.
Override environment variables
@alfred.command('ci', help="execute continuous integration process of alfred")
def ci():
with alfred.env(SCREEN="display"):
bash = alfred.sh("bash")
bash.run("-c" "echo $SCREEN")
Add directories into pythonpath
Adding a folder in the pythonpath variable allows you to expose packages without declaring them in the manifest.
This pattern is useful with poetry to be able to reuse the code of the package tests in this one for example.
The alfred.pythonpath
decorator adds the project root. You can save specific folders here.
@alfred.command('ci', help="execute continuous integration process of alfred")
@alfred.pythonpath()
def ci():
bash = alfred.sh("bash")
alfred.run(bash, ["-c" "echo $SCREEN"])
@alfred.command('ci', help="execute continuous integration process of alfred")
@alfred.pythonpath(['tests'], append_project=False)
def ci():
bash = alfred.sh("bash")
alfred.run(bash, ["-c", "echo $SCREEN"])
@alfred.command('ci', help="execute continuous integration process of alfred")
def ci():
with alfred.pythonpath():
bash = alfred.sh("bash")
alfred.run(bash, ["-c", "echo $SCREEN"])
Developper guideline
poetry install
poetry shell
$ alfred
Usage: alfred [OPTIONS] COMMAND [ARGS]...
alfred is a building tool to make engineering tasks easier to develop and to
maintain
Options:
-d, --debug display debug information like command runned and working
directory
--help Show this message and exit.
Commands:
ci execute continuous integration process of alfred
dist build distribution packages
lint validate alfred using pylint on the package alfred
publish tag a new release and trigger pypi publication
tests validate alfred with all the automatic testing
tests:acceptances validate alfred with acceptances testing
tests:units validate alfred with unit testing
Run the linter and the unit tests
Before commit or send a pull request, you have to execute pylint
to check the syntax
of your code and run the unit tests to validate the behavior.
alfred ci
Contributors
- Fabien Arcellier
License
MIT License
Copyright (c) 2021-2023 Fabien Arcellier
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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