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A configuration-file management system.

Project description

rcmpy (1.5.5)

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A configuration-file management system.

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Python Version Support

This package is tested with the following Python minor versions:

Platform Support

This package is tested on the following platforms:

  • ubuntu-latest
  • macos-latest
  • windows-latest

Introduction

This project aims to simplify management of user configuration files, user (or system-wide) package installations, system settings and more on a variety of platforms.

Reasons to use it:

  1. Simplify bootstrapping a fresh system to a "developer workstation" in as few steps as possible
    1. This can be a simpler options for teams or individuals who don't have infrastructure to manage system-install images, system-distribution build systems, other kinds of provisioning automation, etc.
  2. Normalize software configurations for a team of developers, but still allow personalized overrides when desired (e.g. text-editor or terminal configs)
    1. This can help make your team or organization's development environment more approachable to new or inexperienced developers (ask yourself this: are the code changes usually even the hard part?)
  3. Relies on a minimal data repository that can be managed with version control, shared by multiple people, open source to provide examples to the community, etc.
    1. This enables a workflow for adding, removing, updating and re-configuring software used by a project-ecosystem over time

Getting Started

This package attempts to adhere to the XDG Base Directory Specification. It keeps stateful formation that needs to persist between command invocations in a rcmpy sub-directory of the user-state directory controlled by XDG_STATE_HOME (or the default: $HOME/.local/state).

One tracked piece of stateful information is the location of the current data repository. If this is not changed (via the use command), it checks a rcmpy/default sub-directory in the user-config directory controlled by XDG_CONFIG_HOME (or the default: $HOME/.config).

System Requirements

  1. It is assumed that the system has a Python executable and pip is available to it as an installed package (can be checked with: python[3][.exe] -m pip --version or pip[3][.exe] --version).
  2. A mechanism to obtain a data repository via a network connection, if one won't be created from scratch (e.g. a git client).

Installation and Setup

  1. Install the package with pip[3][.exe] --user rcmpy or python[3][.exe] -m pip --user rcmpy.
  2. Test that rcmpy is now a shell command with rcmpy --version.
    1. If not, you may need to invoke rcmpy directly from $HOME/.local/bin or %APPDATA%\Python. (see the pip documentation for more info).
  3. Run rcmpy use to view the default data repository location (printed to the console):
$ rcmpy use
rcmpy.state                          - INFO   - Using directory '/home/vkottler/.config/rcmpy/default'.
  1. Begin setting up your data repository in this location, or:
    1. Download (or git clone) one to that default location.
    2. Create a symbolic link at that location, pointing to one.
    3. Run rcmpy use <path> to point rcmpy at an existing one at any arbitrary location.
  2. Run rcmpy apply to perform tasks specified in the top-level configuration file.

Command-line Options

$ ./venv3.12/bin/rcmpy -h

usage: rcmpy [-h] [--version] [-v] [-q] [--curses] [--no-uvloop] [-C DIR]
             {apply,dump,use,variant,watch,noop} ...

A configuration-file management system.

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -v, --verbose         set to increase logging verbosity
  -q, --quiet           set to reduce output
  --curses              whether or not to use curses.wrapper when starting
  --no-uvloop           whether or not to disable uvloop as event loop driver
  -C DIR, --dir DIR     execute from a specific directory

commands:
  {apply,dump,use,variant,watch,noop}
                        set of available commands
    apply               apply any pending changes from the active data
                        repository
    dump                dump template data to stdout as JSON
    use                 set the directory to use as the rcmpy data repository
    variant             set the variant of configuration data to use
    watch               do a task whenever a file in a specified directory
                        changes
    noop                command stub (does nothing)

Sub-command Options

apply

$ ./venv3.12/bin/rcmpy apply -h

usage: rcmpy apply [-h] [-f] [-d]

options:
  -h, --help     show this help message and exit
  -f, --force    whether or not to forcibly render all outputs
  -d, --dry-run  whether or not to update output files

dump

$ ./venv3.12/bin/rcmpy dump -h

usage: rcmpy dump [-h]

options:
  -h, --help  show this help message and exit

use

$ ./venv3.12/bin/rcmpy use -h

usage: rcmpy use [-h] [-d] [directory]

positional arguments:
  directory      the directory to use

options:
  -h, --help     show this help message and exit
  -d, --default  sets the directory back to the package default

variant

$ ./venv3.12/bin/rcmpy variant -h

usage: rcmpy variant [-h] [-d] [variant]

positional arguments:
  variant        new variant to use

options:
  -h, --help     show this help message and exit
  -d, --default  sets the directory back to the package default

watch

$ ./venv3.12/bin/rcmpy watch -h

usage: rcmpy watch [-h] [-p POLL_RATE] [-s] [-i] [-n] directory cmd [cmd ...]

positional arguments:
  directory             directory to watch for file changes
  cmd                   command to run

options:
  -h, --help            show this help message and exit
  -p POLL_RATE, --poll-rate POLL_RATE
                        poll period in seconds (default: 0.1s)
  -s, --shell           set to run a shell command
  -i, --single-pass     only run a single iteration
  -n, --no-change       don't act on changed files, only the overall set of
                        files changing (added or removed)

Internal Dependency Graph

A coarse view of the internal structure and scale of rcmpy's source. Generated using pydeps (via mk python-deps).

rcmpy's Dependency Graph

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