jbussdieker 0.21.1

A modern Python development toolkit.

jbussdieker

A modern Python development toolkit with a modular plugin architecture — from project scaffolding to AI-powered commits with automated releases.

🚀 What it does

jbussdieker is your complete Python development toolkit built with a modular plugin system:

Core CLI Framework:

• ✅ Lightweight CLI with plugin discovery via entry points
• ✅ Configurable logging and settings management
• ✅ Extensible command system for plugins

Plugin Ecosystem:

• ✅ jbussdieker-project — Project scaffolding and templates
• ✅ jbussdieker-commit — AI-powered conventional commit messages
• ✅ jbussdieker-app — Application framework and utilities
• ✅ jbussdieker-service — Service layer and API utilities
• ✅ jbussdieker-storage — Data storage and persistence layer
• ✅ jbussdieker-config — Configuration management (core dependency)

Modern Python Development:

• ✅ release-please workflow for versioning and changelogs
• ✅ Publish to PyPI using Trusted Publishers
• ✅ GitHub Actions CI for linting, typing, tests, and publishing

No tokens. No manual uploads. Just push, merge, and release.

📦 Install

Core CLI

pip install jbussdieker

With all plugins

pip install jbussdieker[all]

Individual plugins

# Project scaffolding
pip install jbussdieker[project]

# AI-powered commits
pip install jbussdieker[commit]

# Application framework
pip install jbussdieker[app]

# Service layer
pip install jbussdieker[service]

# Storage layer
pip install jbussdieker[storage]

🔌 Plugin Ecosystem

jbussdieker-project — Project Scaffolding

Create modern Python projects with zero friction:

jbussdieker project create myproject
cd myproject
git init
git commit --allow-empty -m "chore: init"
gh repo create --source=. --private --push
git add .
git commit -m "feat: initial commit"
git push

Features:

• ✅ pyproject.toml using PEP 621
• ✅ GitHub Actions CI for linting, typing, tests, and publishing
• ✅ Makefile with simple install, lint, test commands
• ✅ .gitignore for Python best practices
• ✅ release-please workflow for versioning and changelogs
• ✅ Publish to PyPI using Trusted Publishers

jbussdieker-commit — AI-Powered Commits

Generate conventional commit messages using AI:

# Stage your changes
git add .

# Generate and edit a commit message
jbussdieker commit

# Or preview the message without committing
jbussdieker commit --dry-run

Features:

• 📝 Generate conventional commit messages (feat, fix, docs, etc.)
• 🔍 Analyze your staged changes and project context
• ✏️ Open your editor for final review and editing
• 🚀 Create the commit with your approved message

Requirements:

• OpenAI API key in OPENAI_API_KEY environment variable
• Staged changes in your git repository
• Your preferred editor (defaults to vim)

jbussdieker-app — Application Framework

Build modern Python applications with best practices:

jbussdieker app create myapp
cd myapp
# Start building your application

Features:

• 🏗️ Application scaffolding with proper structure
• 🔧 Configuration management integration
• 📦 Dependency management and packaging
• 🧪 Testing framework setup
• 🚀 Deployment-ready structure

jbussdieker-service — Service Layer

Build robust service-oriented applications:

jbussdieker service create myservice
cd myservice
# Build your service layer

Features:

• 🔌 Service discovery and registration
• 📡 API utilities and middleware
• 🔒 Authentication and authorization helpers
• 📊 Monitoring and health checks
• 🚀 Scalable service architecture

jbussdieker-storage — Data Storage

Manage data persistence across different backends:

jbussdieker storage create mystorage
cd mystorage
# Configure your storage layer

Features:

• 💾 Multi-backend storage support
• 🔄 Data migration utilities
• 🔍 Query builders and ORM helpers
• 🛡️ Data validation and sanitization
• 📈 Performance monitoring

jbussdieker-config — Configuration Management

Centralized configuration for all your applications:

# Configuration is automatically managed
# across all jbussdieker plugins

Features:

• ⚙️ Environment-based configuration
• 🔐 Secure secret management
• 📝 YAML/TOML/JSON support
• 🔄 Hot-reload capabilities
• 🧪 Test configuration helpers

✅ Set up automated releases

1️⃣ Ensure GitHub Actions has required permissions

For release-please to work, your repository's Actions must have write access and permission to create PRs.

• Allow workflows to write to your repo:

  • Go to your repo's Settings → Actions → General (GitHub Actions settings)
  • Under Workflow permissions, select Read and write permissions

• Allow Actions to create PRs:

  • In the same Actions settings
  • Check Allow GitHub Actions to create and approve pull requests

2️⃣ Add a Trusted Publisher on PyPI

Configure PyPI to trust your GitHub repo for publishing

• Visit PyPI Publishing

• Scroll down to add a new pending publisher

• Fill out:

  • GitHub Owner → your username or org

  • Repository Name → your repo name (myproject)

  • Workflow Name →

    publish.yml
    

  • Environment Name →

    release
    

• Click Add.

3️⃣ Push your first tag

Once release-please opens a version bump PR, merging it will automatically publish your package. No API keys needed — PyPI trusts your GitHub Action.

🧹 Local development

Your project includes a simple Makefile:

make venv    # create .venv
make install # pip install -e .
make lint    # black + mypy
make format  # run black
make test    # run unittest
make clean   # remove .venv

🔒 Recommended GitHub repo settings

• ✅ Use Squash merge only — keeps your history tidy and is required for a linear commit history. See why release-please recommends this.
• ✅ Enable Auto-delete branches after merge

📢 Example workflow

# 1️⃣ Scaffold the project locally
jbussdieker project create myproject
cd myproject

# 2️⃣ Init the repo with an empty commit to push just the structure
git init
git commit --allow-empty -m "chore: init"  # ensures a branch exists for first push
gh repo create --source=. --public --push

# ⏸️ This step ensures your repo exists on GitHub first,
# so you can safely configure required Actions + PyPI before any workflows run!

# 3️⃣ Now pause — go to GitHub and:
#    ✅ Set Workflow permissions to Read & Write
#    ✅ Allow Actions to create & approve PRs
#    ✅ Add PyPI Trusted Publisher if you like

# 4️⃣ Add the actual files
git add .
# Optionally use AI-powered commits:
# jbussdieker commit
# Or traditional commit:
git commit -m "feat: initial code"
git push

# 5️⃣ Merge your first release-please PR 🚀

🔌 Plugin Development

Want to extend jbussdieker with your own plugins? The CLI uses entry points for plugin discovery:

# In your plugin's setup.py or pyproject.toml
[project.entry-points."jbussdieker.cli"]
myplugin = "myplugin.cli:register"

# myplugin/cli.py
def register(subparsers):
    parser = subparsers.add_parser("myplugin", help="My plugin command")
    parser.add_argument("--option", help="My option")
    parser.set_defaults(func=myplugin_command)

def myplugin_command(args, config):
    # Your plugin logic here
    pass

📝 License

This project is licensed under MIT.

🎉 Ship faster

No config sprawl. No secrets rotation. Just git push and publish Python packages the modern way with a modular, extensible toolkit.

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Enjoy! 🚀