v0.1.3

🚀 Palmoni 0.1.3 — uv‑powered publishing flow
This release introduces a modernized packaging and publishing workflow, replacing the legacy Poetry/Twine setup with a streamlined uv‑based build and deploy process.

✨ What’s new
Switched to uv for builds

Faster, dependency‑light packaging with clean dist/ rebuilds.

Uses pyproject.toml as the single source of truth for versioning and metadata.

Improved publish script

Auto‑detects version from pyproject.toml (no hard‑coded strings).

Targets only freshly built artifacts to avoid stale uploads.

Clearer output with pre‑publish file listing for sanity checks.

CI/CD parity

GitHub Actions workflow updated for consistency with local build steps.

Pre‑release tags (e.g., -beta, -rc) can route to TestPyPI, production tags go to PyPI.

🛠 Developer experience improvements
Safer error handling — friendly messages when required env vars are missing.

Easier release flow: bump version → tag → publish, no manual token handling for PyPI when using trusted publishing in CI.

Upgrade tip: If you’re working locally, remember to pip install uv in your environment before running the new deploy_test.sh or uv build commands.

v0.1.2

Palmoni v0.1.2 - Background Daemon Support

This release adds proper background daemon functionality, allowing Palmoni to run continuously without holding terminal sessions.
On mac if this is the first time it is being run, after you give it permission, you have to stop and start the service for it to work.

New Features

Daemon Mode

• Auto-background execution - palmoni start now automatically runs in the background
• Process management - New palmoni stop and palmoni status commands for daemon lifecycle control
• Cross-platform support - Works on macOS, Linux, and Windows with platform-specific optimizations
• Session preservation - Maintains accessibility permissions required for keyboard monitoring on macOS

Process Control Commands

palmoni start    # Starts in background automatically
palmoni stop     # Gracefully stops the daemon
palmoni status   # Check if palmoni is running and show PID

Enhanced Reliability

• Duplicate prevention - Prevents multiple instances from running simultaneously
• PID file management - Tracks running processes in ~/.palmoni/palmoni.pid
• Graceful shutdown - Proper signal handling and cleanup on exit
• Stale process cleanup - Automatically removes invalid PID files

Technical Improvements

• macOS compatibility - Uses subprocess instead of fork to preserve session context for keyboard access
• Windows support - Leverages DETACHED_PROCESS for proper background execution
• Signal handling - Responds to SIGTERM and SIGINT for clean shutdowns
• Process lifecycle - Complete daemon management with start/stop/status operations

Usage Changes

Before v0.1.2:

palmoni start    # Held terminal session open
# Required Ctrl+C to stop, blocked terminal use

After v0.1.2:

palmoni start    # Returns immediately, runs in background
palmoni status   # Check if running
palmoni stop     # Clean shutdown when needed

Compatibility

• Maintains full backward compatibility with existing snippet functionality
• DuckDB performance characteristics unchanged
• All existing commands (palmoni list, palmoni config) work identically
• Foreground mode still available with palmoni start --no-daemon

Platform Support

• macOS - Full daemon support with accessibility framework compatibility
• Linux - Standard Unix daemon with proper forking and session management
• Windows - Background process execution via subprocess detachment

Requirements

Same as v0.1.1:

• Python 3.11+
• 10MB disk space for database and configuration
• Accessibility permissions on macOS (system will prompt if needed)

Migration

No migration required. Existing installations will automatically gain daemon functionality on upgrade.

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Installation: pip install --upgrade palmoni
Full Documentation: https://github.com/developyrs/palmoni

v0.1.1

Palmoni v0.1.1 - Initial Public Release

Palmoni is a developer productivity tool that delivers instant code snippets and text expansions anywhere you type. Built with DuckDB for lightning-fast performance.

What's New

Core Features

• Instant Text Expansion - Type triggers like py::class followed by space/tab/enter for immediate code snippet expansion
• Universal Compatibility - Works in terminal, browser, IDE, any text input field
• 40+ Built-in Snippets - Curated collection covering Python, Git, SQL, Docker, and communication shortcuts
• Zero Configuration - Ready to use immediately after installation

Architecture Highlights

• DuckDB Backend - All snippets stored in high-performance columnar database
• Memory-Optimized - O(1) snippet lookups with sub-millisecond expansion times
• Read-Only Database - Ships with pre-curated snippet collection for reliability
• Cross-Platform - Native support for macOS, Linux, and Windows

Installation

pip install palmoni

Quick Start

# Initialize configuration
palmoni config --init

# View available snippets
palmoni list

# Start the text expander
palmoni start

Performance Benchmarks

• Startup: <100ms to load entire snippet database into memory
• Expansion: <1ms trigger recognition and replacement
• Memory: ~10MB footprint for thousands of snippets
• Scalability: Tested with 10,000+ snippets without degradation

Snippet Categories

Development

• Python class/function templates
• Git command shortcuts
• Docker container management
• SQL query patterns

Communication

• Email templates and signatures
• Slack/Teams responses
• Common abbreviations

Productivity

• Package management commands
• Development environment setup
• Documentation templates

Technical Details

• Database: DuckDB for optimal read performance
• Memory Management: Full snippet set loaded at startup for zero-latency access
• Trigger Recognition: Smart word-boundary detection
• Process Architecture: Background daemon with minimal resource usage

Requirements

• Python 3.11+
• 10MB disk space
• 10MB RAM for snippet cache

What's Next

Future releases will focus on:

• Custom snippet management
• Team collaboration features
• Premium curated content packs
• Performance analytics

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Installation: pip install palmoni
Documentation: See README.md for complete usage guide
Issues: Report bugs at https://github.com/developyrs/palmoni/issues