Skip to main content

Enasis Network Homie Automate

Project description

Enasis Network Homie Automate

:warning: This project has not released its first major version.

Define desired scenes for groups using flexible conditional plugins.










Documentation

Read project documentation built using the Sphinx project. Should you venture into the sections below you will be able to use the sphinx recipe to build documention in the sphinx/html directory.

Useful and related links

Installing the package

Installing stable from the PyPi repository

pip install enhomie

Installing latest from GitHub repository

pip install git+https://github.com/enasisnetwork/enhomie

Quick start for local development

Start by cloning the repository to your local machine.

git clone https://github.com/enasisnetwork/enhomie.git

Set up the Python virtual environments expected by the Makefile.

make -s venv-create

Execute the linters and tests

The comprehensive approach is to use the check recipe. This will stop on any failure that is encountered.

make -s check

However you can run the linters in a non-blocking mode.

make -s linters-pass

And finally run the various tests to validate the code and produce coverage information found in the htmlcov folder in the root of the project.

make -s pytest

Running the service

There are several command line arguments, see them all here.

python -m enhomie.execution.service --help

Here is an example of running the service from inside the project folder within the Workspace project.

python -m enhomie.execution.service \
  --config ../../Persistent/enhomie-prod.yml \
  --console \
  --debug \
  --respite_update 120 \
  --respite_desire 15 \
  --timeout_stream 120 \
  --idempotent \
  --print_desire \
  --print_aspire

Replace ../../Persistent/enhomie-prod.yml with your configuration file.

Deploying the service

It is possible to deploy the project with the Ansible roles located within the Orchestro project! Below is an example of what you might run from that project to deploy this one. However there is a bit to consider here as this requires some configuration.

make -s \
  limit=all \
  orche_files=../../Persistent/orchestro-prod.yml \
  ansible_args=" --diff" \
  enhomie-install

Version management

:warning: Ensure that no changes are pending.

  1. Rebuild the environment.

    make -s check-revenv
    
  2. Update the version.txt file.

  3. Push to the main branch.

  4. Create repository release.

  5. Build the Python package.
    Be sure no uncommited files in tree.

    make -s pypackage
    
  6. Upload Python package to PyPi test.

    make -s pypi-upload-test
    
  7. Upload Python package to PyPi prod.

    make -s pypi-upload-prod
    

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

enhomie-0.13.9.tar.gz (101.6 kB view details)

Uploaded Source

Built Distribution

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

enhomie-0.13.9-py3-none-any.whl (226.9 kB view details)

Uploaded Python 3

File details

Details for the file enhomie-0.13.9.tar.gz.

File metadata

  • Download URL: enhomie-0.13.9.tar.gz
  • Upload date:
  • Size: 101.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.6

File hashes

Hashes for enhomie-0.13.9.tar.gz
Algorithm Hash digest
SHA256 726f0f6ba0a7d4a4808eff70ee85982820d9fb49cffc6128b58cbe98d8649442
MD5 c5ccc51193e28c60660a6695dcefaa1d
BLAKE2b-256 f9471880b21b0c06183dc2fd435710866c16efe7ee0a3b597e9d44ec47f2bbe6

See more details on using hashes here.

File details

Details for the file enhomie-0.13.9-py3-none-any.whl.

File metadata

  • Download URL: enhomie-0.13.9-py3-none-any.whl
  • Upload date:
  • Size: 226.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.6

File hashes

Hashes for enhomie-0.13.9-py3-none-any.whl
Algorithm Hash digest
SHA256 80b5a2c2fdf40aa7c60649a055dcb011e971d3d09073c5849bd9908522f38ddd
MD5 30173473d3f536ee2d2035031cba50d3
BLAKE2b-256 81ac2f402e58b47a299be9d5b3f7bee0b758db808ca9f4e9abf2c50409de871b

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