Skip to main content

A macOS PDF Service to merge letterhead with printed documents

Project description

Mac-letterhead

A macOS PDF Service that automatically merges a letterhead template with printed documents.

Installation

Install the package:

uv pip install -e .

Usage

Installing a Letterhead Service

To create a PDF Service for a specific letterhead template:

uv run mac-letterhead install /path/to/your/letterhead.pdf

This will create a new PDF Service named "Letterhead " in your PDF Services directory.

Using the Letterhead Service

  1. Open any document you want to print with the letterhead
  2. Choose File > Print
  3. Click the PDF dropdown button
  4. Select "Letterhead " from the menu
  5. Choose where to save the merged PDF

Version Information

To check the current version:

uv run mac-letterhead --version

Error Logging

The tool logs all operations and errors to:

~/Library/Logs/Mac-letterhead/letterhead.log

If you encounter any issues while using the tool, check this log file for detailed error messages and stack traces.

Features

  • Easy installation of letterhead services
  • Supports multiple letterhead templates
  • Maintains original PDF metadata
  • Preserves PDF quality
  • Shows save dialog for output location
  • Proper error handling with detailed logging
  • Supports --version flag
  • Type hints for better code maintainability

Development

To install in development mode:

uv pip install -e .

Publishing a New Release

First-time Setup

  1. Create an account on PyPI if you don't have one
  2. Create an API token on PyPI:
  3. Add the token to GitHub repository secrets:
    • Go to your repository's Settings > Secrets and variables > Actions
    • Create a new secret named PYPI_API_TOKEN
    • Paste your PyPI token as the value

Publishing a Release

  1. Update the version in:

    • pyproject.toml
    • letterhead_pdf/init.py
    • letterhead_pdf/main.py
  2. Run the release script:

./tag_release.sh

This will:

  • Create a git tag for the current version
  • Push the tag to GitHub
  • Trigger the GitHub workflow to publish to PyPI

The GitHub workflow will:

  • Build the package
  • Upload it to PyPI using the configured API token
  • Make it available for installation via pip/uv

Troubleshooting

If you encounter any issues:

  1. Check the log file at ~/Library/Logs/Mac-letterhead/letterhead.log
  2. The log contains detailed information about:
    • All operations performed
    • Error messages with stack traces
    • Input/output file paths
    • PDF processing steps

License

MIT License

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mac_letterhead-0.1.2.tar.gz (14.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mac_letterhead-0.1.2-py3-none-any.whl (6.6 kB view details)

Uploaded Python 3

File details

Details for the file mac_letterhead-0.1.2.tar.gz.

File metadata

  • Download URL: mac_letterhead-0.1.2.tar.gz
  • Upload date:
  • Size: 14.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for mac_letterhead-0.1.2.tar.gz
Algorithm Hash digest
SHA256 7d1563410ecdae1e614ab1cffa4d69da04d325db56154fc54caa62b1d6ab318c
MD5 8be4615d1954d374506de6d8d412a0b7
BLAKE2b-256 d5f7468415a3ed8066682cde3122af869768b18d075eedd8e15cdba4d82c5607

See more details on using hashes here.

File details

Details for the file mac_letterhead-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: mac_letterhead-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 6.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for mac_letterhead-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 020ffa746288c4da89a363176ab3e26c3506710f411f6758022ebf03edd9b962
MD5 457ae05f1c152c22b214b3799d33f4d7
BLAKE2b-256 bfe96bbcd3321c38b8bff2e034de977bde22624caa02e8840189bcbcde1bb3fc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page