Derevo library

This is a standalone module which can be installed and used without plants backend and frontend.

It contains methods to generate stable plants compotions.

Installation

0. Prepare virtual environment with venv if you need
1. Install with python -m pip install .

Wheel can be built the same way, by running python -m build . (you would need to install build package before that). To install package from .wheel, use python -m wheel install dist/derevo-0.1.0-py3-none-any.whl.

Following packages are need to be installed on your system to successfully build the module: build virtualenv

All commands are presented in Makefile for reference.

Running an example

1. Set environment variables from envfile, you would need a database with plants, limitations and others
2. launch make run-example or launch manually with python -m example

Packing in docker for a backend service

For the backend docker image to build, derevo must be installed in it. As they are in different directories, and derevo is not on PyPi yet, it was decided to be a best way to store built wheel rosource in a dummy container called local/derevo. It should be built using make docker-build before building backend image.

Development

For development purposes it is better to use editable install with python -m pip install -e . - so when you change the content of the module, there is no need to perform reinstall.

In some cases VS Code Pylance and other analyzer tools report missing module, then you need to either configure them properly (in case of Pylance, add "python.analysis.extraPaths": ["<project_dir>/method"] to .vscode/settings.json) or make a strict installation: python -m pip install -e . --config-settings editable_mode=strict. The second option is better, in case of adding new files a reinstallation will be needed