/ / ___ ___ ___ ___ | | )| |___ | | )|___) |__ |__/ | __/ | | / |__ -- Chef-like functionality for Fabric
Fabric is an incredible tool to automate administration of remote machines. As Fabric's functions are rather low-level, you'll probably quickly see a need for more high-level functions such as add/remove users and groups, install/upgrade packages, etc.
Cuisine is a small set of functions that sit on top of Fabric, to abstract common administration operations such as file/dir operations, user/group creation, package install/upgrade, making it easier to write portable administration and deployment scripts.
Cuisine's features are:
- Small, easy to read, a single file API: <object>_<operation>() e.g. dir_exists(location) tells if there is a remote directory at the given location.
- Covers file/dir operations, user/group operations, package operations
- Text processing and template functions
- All functions are lazy: they will actually only do things when the change is required.
Cuisine is on PyPI so you can either use
easy_install -U cuisine
pip install cuisine to install it. Otherwise, you can download
the source from GitHub and
python setup.py install.
How to get started
Open up a python shell and type:
Cuisine is designed to be a flat-file module, where all functions are prefixed by the type of functionality they offer (e.g., file for file operations, user for user operations). The available groups are:
- Text-processing functions
- File operations
- Directory operations
- Package management operations
- Shell commands availability
- User creation commands
- Group creation commands
- Configures cuisine's behaviour within the current session.
- Selects a specific option, such as package back-end (apt or yum)
If you're using an interactive Python shell such as IPython you can easily browse the available functions by using tab-completion.
In : cuisine.file_ cuisine.file_append cuisine.file_is_file cuisine.file_unlink cuisine.file_attribs cuisine.file_is_link cuisine.file_update cuisine.file_attribs_get cuisine.file_link cuisine.file_upload cuisine.file_ensure cuisine.file_local_read cuisine.file_write cuisine.file_exists cuisine.file_read cuisine.file_is_dir cuisine.file_sha256
As the functions are prefixed by they type of functionality, it is very easy to get started using an interactive shell.
If you would like to use cuisine without using a fabfile, you can call the mode_local() function.
import cuisine cuisine.mode_local() print cuisine.run("echo Hello")
If you want to use cuisine within a fabfile, simply create a fabfile with the following content:
from cuisine import * def setup(): group_ensure("remote_admin") user_ensure("admin") group_user_ensure("remote_admin", admin")
Contributing specific implementations
Cuisine was originally developed as a Debian/Ubuntu-centric tool, but can easily be adapted to other distributions or Unix flavor, the only caveat being that the shell is expected to be bash-compatible.
If you want to implement a specific variant of some functions for a specific platform, you should do the following:
- Open the cuisine.py source and look for the definition of the function that you would like to specialize.
- If the function is decorated by '@dispatch', it means it already supports specific back-ends (see package_* functions), and you can proceed to the next step. Otherwise, you can either file a ticket on Github or read the source and mimic what we've done for package_*
- Create a specific version of the decorated function by creating a new function with the same name, suffixed by your specific backend name. For instance, if you'd like to create a yum backend to package_ensure, you would need to create a function package_ensure_yum with the same arguments as package_ensure
- Once you've created your specific functions, make sure that you have a select_* matching your function group. For the package_* functions, this would be select_package.
- Look for the supported variable in the select_* and add your backend suffix to it (in our example, this would be yum)
To use a specific backend implementation of a set of features, use the select_* functions.
# To use the 'apt' backend cuisine.select_package("apt") # To see the available backends print cuisine.select_package()
If you want more information, you can:
- Read the presentation on Cuisine