Use JSON schemas for Sienna model intermediary layer #3

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

	name: Schema Generation

	on:
	pull_request:
	branches:
	- main
	workflow_dispatch:
	permissions:
	contents: read

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v3
	- uses: conda-incubator/setup-miniconda@v3
	with:
	python-version: "3.11"
	miniforge-version: latest
	- name: Installing python dependencies
	run: \|
	pip install datamodel-code-generator==0.26
	pip install pydantic==2
	pip install '.[dev]' # pytest primarily
	shell: bash -l {0}
	- name: Run datamodel-generation
	shell: bash -l {0}
	run: \|
	datamodel-codegen --input schemas --input-file-type jsonschema --output python_models --output-model pydantic_v2.BaseModel
	PYTHONPATH=. pytest test/load_models.py
	- name: Run openapi-generation for python
	shell: bash -l {0}
	run: \|
	docker run --rm \
	-v ${PWD}:/local openapitools/openapi-generator-cli generate \
	-i /local/openapi.json \
	-g python \
	-o /local/out/python
	- name: Run openapi-generation for python
	shell: bash -l {0}
	run: \|
	docker run --rm \
	-v ${PWD}:/local openapitools/openapi-generator-cli generate \
	-i /local/openapi.json \
	-g julia-server \
	-o /local/out/julia

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