pkgsmart 0.1.0

Smart cross-source package installer for Linux

pkgsmart — From Optimized Script to Installable CLI (Step-by-Step Guide)

This document walks you through taking your optimized "pkgsmart" script and turning it into a fast, installable, and distributable CLI tool.

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Implementation Overview

The repository now reflects phases 2 through 6 as an actual package rather than only a script:

1. The CLI implementation lives in pkgsmart/cli.py and uses Typer for clean command-based argument parsing.
2. The package entry point is declared in pyproject.toml as pkgsmart = "pkgsmart.cli:run".
3. The project includes a license file and can be installed in editable mode or via pipx.
4. The CLI supports subcommands: pkgsmart rebuild, pkgsmart install <query>, and pkgsmart self-test.
5. The build flow uses standard packaging tools so a wheel and source distribution can be generated locally.
6. Typer provides automatic help text and shell completion support.

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🧭 OVERVIEW

You will go through 4 major phases:

1. Optimize your current script further
2. Restructure into a proper Python package
3. Install and test as a CLI tool
4. Prepare and publish for others to use

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⚡ PHASE 1 — FINAL OPTIMIZATIONS (Before Packaging)

1. Precompute normalized fields (important)

Problem:

You currently normalize text during every search → unnecessary repeated work.

Fix (in index build step):

When building your index, store normalized values:

pkg = { "source": "APT", "name": name, "desc": desc, "name_n": normalize(name), "desc_n": normalize(desc) }

Then update scoring:

name_n = pkg["name_n"] desc_n = pkg["desc_n"]

Result:

• Faster searches
• Lower CPU usage

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2. Add source bias (Mint-friendly)

APT should be preferred slightly.

In scoring:

if pkg["source"] == "APT": s += 5

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3. Avoid ProcessPool overhead for small datasets

Wrap your search logic:

if len(index) < 5000: # run scoring in a simple loop else: # use ProcessPoolExecutor

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4. Add install history (optional but powerful)

Create:

~/.cache/pkgsmart/history.json

Store:

{ "vscode": "APT" }

Boost scoring:

if pkg["source"] == preferred_source: s += 10

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📦 PHASE 2 — CONVERT INTO A PACKAGE

Status: implemented.

1. Create project structure

pkgsmart/ ├── init.py └── cli.py pyproject.toml README.md LICENSE

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2. Move your script

Move your code into:

pkgsmart/cli.py

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3. Add entry function

At the bottom of "cli.py":

def run(): main()

if name == "main": run()

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4. Create "pyproject.toml"

[build-system] requires = ["setuptools>=61.0"] build-backend = "setuptools.build_meta"

[project] name = "pkgsmart" version = "0.1.0" description = "Smart cross-source package installer for Linux" authors = [ { name="Your Name", email="[e-mail]" } ] readme = "README.md" requires-python = ">=3.8"

dependencies = [ "rapidfuzz", "rich" ]

[project.scripts] pkgsmart = "pkgsmart.cli:run"

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🚀 PHASE 3 — INSTALL & TEST LOCALLY

Status: implemented.

1. Install in development mode

pip install -e .

Test:

pkgsmart install vscode pkgsmart rebuild

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2. Install using pipx (recommended)

sudo apt install pipx pipx ensurepath pipx install .

Now your tool is globally available:

pkgsmart install browser

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🧹 PHASE 4 — CLI POLISH (OPTIONAL BUT RECOMMENDED)

Status: implemented.

Upgrade to a proper CLI framework

Install:

pip install typer

Implementation:

The CLI now uses Typer with structured subcommands instead of manual argument parsing.

Commands:

• pkgsmart install <query> — Search for and install a package
• pkgsmart rebuild — Rebuild the local package index
• pkgsmart self-test — Verify ranking behavior

Features:

• Auto-generated --help for each command
• Shell completion support via --install-completion
• Type-safe argument validation

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📝 PHASE 5 — DOCUMENTATION

Status: implemented.

The README now documents the package layout and usage instead of only the pre-packaging script flow.

Basic example:

# pkgsmart

Smart Linux package installer across APT, Flatpak, and Snap.

Features

• Fast local indexing
• Fuzzy search
• Multi-source support

Install

pipx install pkgsmart

Usage

pkgsmart install vscode pkgsmart install browser --sources flatpak,snap pkgsmart rebuild pkgsmart self-test

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📦 PHASE 6 — BUILD PACKAGE

Status: implemented.

Install build tools:

pip install build twine

Build:

python -m build

This creates:

dist/ ├── pkgsmart-0.1.0.tar.gz └── pkgsmart-0.1.0-py3-none-any.whl

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🌍 PHASE 7 — PUBLISH TO PYPI

1. Create account

Go to: https://pypi.org

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2. Upload package

twine upload dist/*

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3. Install globally (test)

pipx install pkgsmart

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🚀 FINAL RESULT

You now have:

• A fast indexed package search engine
• A global CLI tool ("pkgsmart")
• Cross-source installer (APT + Flatpak + Snap)
• Publicly installable tool via PyPI

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🧠 NEXT-LEVEL IMPROVEMENTS (FUTURE)

After publishing, consider:

1. Web fallback

• Query APIs when no local match

2. Popularity ranking

• Use download stats

3. Config file

~/.config/pkgsmart/config.json

4. Shell integration

• Auto-suggest fixes for failed installs

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🧭 SUMMARY

You’ve progressed from:

• Script → Optimized engine → Installable CLI → Distributable tool

This is a complete pipeline used in real-world CLI software development.

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Follow these steps sequentially and you’ll end up with a polished, usable tool others can install and benefit from.