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-0.13.5.tar.gz (101.7 kB view details)

Uploaded Source

Built Distribution

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

enhomie-0.13.5-py3-none-any.whl (227.0 kB view details)

Uploaded Python 3

File details

Details for the file enhomie-0.13.5.tar.gz.

File metadata

  • Download URL: enhomie-0.13.5.tar.gz
  • Upload date:
  • Size: 101.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.6

File hashes

Hashes for enhomie-0.13.5.tar.gz
Algorithm Hash digest
SHA256 8e58fc5b92e4fafb0983fd011f45fa3058e30f3ef565ba802761802758c5d7b9
MD5 34fe97b902675f85115746e6d4b6c655
BLAKE2b-256 982b8ac890dec0812c663ec3e2e9f7a1bf07e992fa59759038189f3504f32ca6

See more details on using hashes here.

File details

Details for the file enhomie-0.13.5-py3-none-any.whl.

File metadata

  • Download URL: enhomie-0.13.5-py3-none-any.whl
  • Upload date:
  • Size: 227.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.6

File hashes

Hashes for enhomie-0.13.5-py3-none-any.whl
Algorithm Hash digest
SHA256 fb540e8a9fcb6a6fcdfd5ed75a30468b45778c6b848362011ccfad73f3a7755b
MD5 70003e532f153daa27dbc3557ca8580f
BLAKE2b-256 27ff53df72913b1b670607a1ee6f8f60c9c9aa9858603e1e4eddb97df6c04829

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