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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 which contains several products.
In this dev, we are eating our own dog food. We are using alfred
for the continuous integration process
of itself instead of Makefile
as I usually do.
# run the continuous integration process
alfred ci
# publish the package on pypi
alfred twine
- Getting started
- Behind the scene
- Why using alfred instead of Makefile or Bash scripts
- Why not using alfred
- The latest version
- Reference
- 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.
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/pyalfred.git
Reference
.Alfred.yml
The configuration file supports several attributes to tune the behavior of Alfred. It is required to add
Plugins
section
the plugins
section tells Alfred where to look for commands to render
accessible to the user. The pointed folder contains several python modules which
are loaded one by one. The __init __. Py
module is ignored.
If you specify a prefix, the commands configured in the imported modules will be prefixed by this label in alfred. This feature is useful in a mono-repository when you want to have an .alfred.yml file for each project and an .alfred.yml file at the root of the project.
plugins:
- path: alfred_cmd
- path: alfred_cmd
prefix: "command:"
Environment
section
environment
section allows you to hard configure environment variables to load
before executing a command.
This feature facilitates the integration with pipenv
for example which has a behavior
different between mac and linux. In this case, it allows you to set the necessary flags
to erase these differences.
environment:
- "VAR=1"
- "VAR"
Developper guideline
pipenv install
pipenv shell
$ alfred
Usage: alfred [OPTIONS] COMMAND [ARGS]...
alfred is a building tool to make engineering tasks easier to develop and to
maintain
Options:
--help Show this message and exit.
Commands:
ci execute continuous integration process of alfred
dist build distributions for alfred in dist/
lint validate alfred using pylint on the package alfred
tests validate alfred with all the automatic testing
tests:acceptances validate alfred with acceptances testing
tests:units validate alfred with unit testing
twine push the package to pypi
Install development environment
Use make to instanciate a python virtual environment in ./venv and install the python dependencies.
pipenv install --dev
Install production environment
pipenv install
Initiate or update the library requirements
If you want to initiate or update all the requirements install_requires
declared in setup.py
and freeze a new Pipfile.lock
, use this command
pipenv update
Activate the python environment
When you setup the requirements, a venv
directory on python 3 is created.
To activate the venv, you have to execute :
pipenv shell
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 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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