Skip to main content

The Abstractu Universe Project

Project description

Welcome to Juham™ - Juha's Ultimate Home Automation Core

Description

juham-core extends the functionality of Masterpiece object by adding capabilities for MQTT communication and integration with time series databases. The base class provides only a minimal set of interfaces. Actual features, such as MQTT and time series database implementations — along with home automation-specific functionalities — are provided through separate plugin modules built on juham-core class.

Project Status and Goals

Current State: Pre-Alpha (Status 2)

The aim of Juham™ is to have fun by learning Python and GitLab ecosystems, by developing a home automation framework capable of controlling all the devices in my home, with the potential to be adapted for other homes as well.

In its current form, Juham™ may still resemble more of an experiment (or even a "mess") than a "masterpiece," but I’m working hard to turn it into one!

Special Thanks

This project would not have been possible without the generous support of two exceptional individuals: Teppo K. and Mahi.

Teppo K. provided the initial spark for this project by donating a Raspberry Pi, a temperature sensor, and giving an inspiring demonstration of his own home automation system—effectively dragging me down the rabbit hole of endless tinkering.

Mahi has been instrumental in translating my half-baked ideas into Python code, offering invaluable support and encouragement—while also ensuring that every time I thought I was done, I wasn’t.

Because of these two gentlemen, my already minimal spare time dropped into the negatives as I desperately tried to push the system to some semblance of professionalism.

I’m truly grateful to both—really. 😅

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

abstr-0.0.1.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

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

abstr-0.0.1-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file abstr-0.0.1.tar.gz.

File metadata

  • Download URL: abstr-0.0.1.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for abstr-0.0.1.tar.gz
Algorithm Hash digest
SHA256 8de9025e84121920811f9e8badd52ca0f5dc3962a7185d369512e04ba2866f79
MD5 7b748e64a24768aa0ded283463cd4659
BLAKE2b-256 44b87419817715b4b6bd30187741c6accfd8be4e5de1d4ed6293b83cde51774d

See more details on using hashes here.

File details

Details for the file abstr-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: abstr-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for abstr-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 8804138cfbbecb53b3219177754b06942548a816355818c178d0fa351ad1d93f
MD5 efbdf7f2ffd2a1843319c840b37751ef
BLAKE2b-256 2d12cbe7c3c97b2fb063606a7e831681307fd314898a5ecec62a0d303cae4e17

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