py-encase 0.0.22

Tool for encased python script environment.

py-encase is a utility to set up a portable Python script environment quickly and consistently.

It automates repetitive tasks often required in script development, such as creating directory structures, generating script templates, managing libraries, installing dependencies locally, and initializing Git repositories.

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Features

• Create portable script environments under a given prefix

• Generate script templates and reusable library modules

• Manage dependencies locally (no need for system-wide pip installs)

• Initialize Git repositories with remote setup support

• Keep documentation (README.md) updated automatically

• Support both script-based tools and package/module development

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Installation

pip install py-encase

or install into a local sandbox directory:

pip install --target ./py_sandbox py-encase

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Requirement

• Python >= 3.9

• pip3

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Usage Examples

Create a new toolset

pip3 install --target "${workdir}/py_sandbox" py-encase

env PYTHONPATH="${workdir}/py_sandbox:" \
  "${workdir}/py_sandbox/bin/py_encase" --manage init --verbose \
  --prefix "${workdir}/my-new-tools" \
  --readme --title "Tools for my work ..." \
  --app-framework \
  --module dateutils \
  --required-module \
  --script-lib 'my_utils.py' \
  --setup-git \
  --git-user-name 'my_git_account' \
  --git-user-email 'my_git_account@my_git_host.domain' \
  --git-set-upstream \
  --git-remote-setup \
  --git-remote-account remote_account \
  --git-remote-host remotehost.remotedomain \
  --git-remote-path '~/git_repositories/' \
  --git-remote-share group \
  --git-protocol ssh \
  my_new_work_tool

Running Scripts in the Encased Environment

One of the most important features of py-encase is that you do not need to manually set environment variables (such as PYTHONPATH) when running your scripts.

When you create a new script using py-encase, a symlink with the script’s basename is placed under the bin/ directory.

For example, after creating a script named my_new_work_tool.py, you will have:

my-new-tools/
├── bin/
│   ├── mng_encase
│   └── my_new_work_tool   -> symlink to py_encase.py
├── lib/
│   └── python/
│       └── my_new_work_tool.py

You can run your script simply by calling:

./bin/my_new_work_tool

The symlink automatically points to py_encase.py, which sets up the correct environment variables internally before executing the script.

This ensures the script runs inside the encased environment without requiring you to export variables manually.

This mechanism makes py-encase environments self-contained, portable, and easy to run.

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Add scripts and libraries

"${workdir}/my-new-tools/bin/mng_encase" add -v another_tool
"${workdir}/my-new-tools/bin/mng_encase" addlib -v util_helpers

Start module development

"${workdir}/my_module_dev/bin/mng_encase" newmodule --verbose \
  --title "My New Work Utils" \
  --description "Utility classes for ...." \
  --module dateutils \
  --git-user-name 'my_git_account' \
  --git-user-email 'my_git_account@my_git_host.domain' \
  --git-set-upstream \
  --git-remote-setup \
  --git-remote-account remote_account \
  --git-remote-host remotehost.remotedomain \
  --git-remote-path '~/git_repositories' \
  my_new_work_utils

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Configuration via Environment Variables

Variable	Purpose
GIT_REMOTE_USER	Remote git account user name
GIT_REMOTE_HOST	Remote git host name
GIT_REMOTE_PATH	Path of the remote git repository

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Step-by-step Usage

1. Initialization of working environment under certain directory (“${prefix}”) with creating new python script ‘newscript.py’ from template and installing specified python modules specified in CLI.

# Create environment
% py_encase --manage init -r -g -v --prefix=${prefix} -m pytz -m tzlocal newscript.py
.....
# Check file produced
% ( cd ${prefix} ls -ltrd {bin,lib/python,lib/python/site-packages/*}/* )
.... bin/py_encase.py
.... bin/mng_encase -> py_encase.py
.... bin/newscript -> py_encase.py
.... lib/python/site-packages
.... lib/python/newscript.py
.... lib/python/site-packages/3.13.4/pytz
.... lib/python/site-packages/3.13.4/pytz-2025.2.dist-info
.... lib/python/site-packages/3.13.4/tzlocal
.... lib/python/site-packages/3.13.4/tzlocal-5.3.1.dist-info

The entity of this tool will be copied to ${prefix}/py_encase.py New script is created as lib/python/newscript.py.

The symbolic link under bin/ (=bin/newscript) is run lib/python/newscript.py by dealing with environmental variable PYTHONPATH to use python modules that are locally installed by pip under lib/python/site-packages.

% ${prefix}/bin/newscript -d
Hello, World! It is "Wed Jul  2 16:26:06 2025."
Python : 3.13.4 ({somewhere}/bin/python3.13)
1  : ${prefix}/lib/python
2  : ${prefix}/lib/python/site-packages/3.13.4
3  : ....

Another symbolic link bin/mng_encase can be used to make another python script and symbolic link for execution from template.

% ${prefix}/bin/mng_encase add another_script_can_be_run.py

another python script for library/module from template also can be created.

% ${prefix}bin/mng_encase addlib another_script_can_be_run.py

It is also possible to install module by pip locally under ‘${prefix}/lib/python/site-packages’.

% ${prefix}bin/mng_encase install modulename1 modulename2 ....

The moduled installed locally by this tool can be deleted by sub-commands clean or distclean

# Removing module installed locally by currently used python/pip version
% ${prefix}bin/mng_encase clean
# Removing all module installed locally by pip
% ${prefix}bin/mng_encase distclean

Subcommands

init

• Bootstraps a new execution environment under a given prefix.

• Includes directory structure, template script, bin/ launcher, README, Git initialization.

• Options: --readme, --title, --app-framework, --required-module.

add

• Adds a new script to an existing environment.

• Generates from template and symlinks into bin/ for execution.

addlib

• Adds a one-file library module.

• For factoring out utilities shared across scripts.

newmodule

• Creates a package-structured Python module (source, tests, docs).

• Suitable for distributing reusable modules.

install, download, freeze, inspect, list, cache, piphelp

• Wrappers for pip commands.

• Manage local installs, caches, dependency locking, inspection.

clean, distclean

• clean: remove installed modules/caches for the current Python/pip version.

• distclean: more thorough cleanup.

selfupdate

• Updates py-encase to the latest version from PyPI.

update_readme

• Updates README.md with project structure and file listings.

init_git

• Initializes a Git repository with .gitignore, .gitkeep, user/remote setup.

contents

• Lists scripts, libraries, modules, installed packages in the environment.

info

• Shows environment info: versions, paths, directory layout, symlinks.

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Author

Nanigashi Uji ([e-mail])
Nanigashi Uji ([e-mail])