Skip to main content

Track working time using systemd login information

Project description

WorkPulse

Python Version Build Status PyPI Version

A Python-based tool for tracking daily working time using systemd login information. WorkPulse automatically monitors your active session and logs working time, excluding periods when your system is suspended, locked, or hibernated. Also, this tool is able to sync the data to your Home Assistant using MQTT.

Features

  • Automatic Time Tracking: Monitors active working time using systemd login session data
  • Smart Exclusion: Automatically excludes suspend, locked, and hibernation periods
  • Daily Logs: Stores daily active time summaries in a simple SQLite database
  • Systemd Integration: Runs as a systemd user timer, updating every minute
  • Simple CLI: Easy-to-use command-line interface
  • Lightweight: Minimal dependencies, no external services required
  • Home Assistant: Integrates to Home Assistant using MQTT

AI Disclaimer

This project has been developed using a technique known as "vibe coding". I have actually written less than 1% of the lines on this repository, as my work was giving instructions to the AI agent. To be honest, this disclaimer was written by myself.

However, I do have large experience in Python and Linux, so everything was reviewed and the "AI slop" is reduced due to the proper and detailed instructions I provided.

There are few weird implementations but I have decided to keep them in since it is well documented and does not affect performance (which is not a problem here).

Requirements

  • Python 3.10+
  • systemd: Linux system with systemd-logind (most modern Linux distributions)
  • loginctl: Command-line tool for querying systemd login manager (usually pre-installed)

Installation

From PyPI

pip install workpulse

Usage

Initial Setup

Install and start tracking:

workpulse install

This command will:

  • Initialize the SQLite database in ~/.workpulse/workpulse.db
  • Create and install a systemd user timer (workpulse.timer)
  • Enable and start the timer to begin tracking
  • The timer will automatically start when you log in

View current tracking status and today's summary:

workpulse status

If needed, you can uninstall:

workpulse uninstall

This removes the systemd timer and service files. Note: The database files in ~/.workpulse/ are not removed automatically. To completely remove all data, manually delete the ~/.workpulse/ directory.

Home Assistant Integration

WorkPulse can publish daily time tracking data to Home Assistant via MQTT, allowing you to monitor your working time directly in your Home Assistant dashboard.

Setup

  1. Configure MQTT in WorkPulse:

    During installation, WorkPulse creates a default MQTT configuration file at ~/.workpulse/mqtt_config.toml. Edit this file to set your MQTT broker details:

    broker = "192.168.1.100"  # Your MQTT broker IP address
    port = 1883
    username = ""  # Optional: MQTT username
    password = ""  # Optional: MQTT password
    topic_prefix = "workpulse"
    update_interval = 60  # Publish updates every 60 seconds
    
  2. Generate Home Assistant YAML Configuration:

    workpulse mqtt yaml
    

    This command generates the Home Assistant YAML configuration with your hostname automatically filled in.

  3. Add Configuration to Home Assistant:

    • Copy the generated YAML configuration
    • Paste it into your Home Assistant configuration.yaml file
    • Restart Home Assistant or reload the MQTT integration
  4. Start the MQTT Publisher: To run the publisher as a service:

    workpulse mqtt start service
    

    This should be done only once and it should work automatically on next reboots. Or, to run it in the terminal:

    workpulse mqtt start local
    

    This allows you to simply CTRL-C and the publisher stops.

The integration creates a single sensor that displays your daily total active time formatted as hours and minutes (e.g., "2h 30m" or "45m"). The sensor updates automatically as WorkPulse publishes new data.

MQTT Commands

  • workpulse mqtt start <mode> - Start the MQTT publisher daemon
  • workpulse mqtt stop - Stop the MQTT publisher
  • workpulse mqtt status - Show MQTT configuration status
  • workpulse mqtt publish - Manually publish status (for testing)
  • workpulse mqtt uninstall - Disable the service and delete the publisher file.
  • workpulse mqtt yaml - Generate Home Assistant YAML configuration

How It Works

WorkPulse uses a systemd user timer that runs every minute. Each minute, it:

  1. Checks if your session is active using loginctl
  2. Verifies the session is not locked
  3. Confirms the system is not suspended/hibernated
  4. If all conditions are met, adds 60 seconds to today's total active time

The tracking is based on systemd login session state, which provides accurate information about:

  • Session activity (active/inactive)
  • Screen lock status
  • System power state

Limitations

  • Linux Only: Requires systemd, which is primarily available on Linux
  • User Sessions Only: Tracks only graphical/login sessions, not SSH sessions
  • No Historical Data Import: Cannot import time data from other sources
  • Manual Database Access: No built-in query interface; use SQLite tools for advanced queries

Contributing

Contributions are welcome! Please ensure:

  • All tests pass (pytest)
  • Code coverage remains above 80%
  • Code follows PEP 8 style guidelines
  • New features include appropriate tests

License

This project is licensed under the MIT License. See the LICENSE file for details.

Project details


Download files

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

Source Distribution

workpulse-0.3.0.tar.gz (33.2 kB view details)

Uploaded Source

Built Distribution

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

workpulse-0.3.0-py3-none-any.whl (34.6 kB view details)

Uploaded Python 3

File details

Details for the file workpulse-0.3.0.tar.gz.

File metadata

  • Download URL: workpulse-0.3.0.tar.gz
  • Upload date:
  • Size: 33.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for workpulse-0.3.0.tar.gz
Algorithm Hash digest
SHA256 4bf9e1c4a2397a02266db092155768046a38e4c42c021ea42ebec7091fb88a5f
MD5 2ba39d276ac2e7c508f4e2c81b296435
BLAKE2b-256 6b51f69d52d2792a906e8c2328a45fb587eac359c837c009d9cede49ff6029cf

See more details on using hashes here.

Provenance

The following attestation bundles were made for workpulse-0.3.0.tar.gz:

Publisher: python-publish.yml on fdcavalcanti/workpulse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file workpulse-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: workpulse-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 34.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for workpulse-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 764d4c075a6dacc69348ab75c498703e954618feddc0d7d74f0f8e31073c977c
MD5 3675fed6ea00afa511e86e7008441c03
BLAKE2b-256 306c850f13792c88c75d01d4b4a08de56622e6e48dd067b613ce3897ea231c69

See more details on using hashes here.

Provenance

The following attestation bundles were made for workpulse-0.3.0-py3-none-any.whl:

Publisher: python-publish.yml on fdcavalcanti/workpulse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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