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Use SUT_FACTORY instead of SUTS everywhere. #203

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Use SUT_FACTORY instead of SUTS everywhere.

Use SUT_FACTORY instead of SUTS everywhere. #203

Workflow file for this run

.github/workflows/tests.yml at a40fee6
name: Tests
on:
push:
branches:
- main
pull_request:
workflow_dispatch:
inputs:
branch:
description: "Branch"
required: true
default: main
jobs:
cli-test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
with:
ref: ${{ github.event.inputs.branch || github.head_ref || github.ref_name }}
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.12"
- name: Start MLflow server (no jupyter)
run: |
./start_services.sh --no-jupyter -d
- name: Install poetry
run: pipx install poetry
- name: Verify MLflow versions match
run: ./scripts/check_mlflow_versions.sh
- name: Check poetry lock file
run: poetry check --lock
- name: Remove existing virtual environment
run: |
poetry env remove python || true
- name: Install dependencies
run: |
poetry cache clear --no-interaction --all .
poetry install --with test --no-cache
- name: Run all tests
run: MLFLOW_TRACKING_URI=http://localhost:8080 poetry run pytest
- name: Stop MLflow server
run: docker compose down
jupyter-test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
with:
ref: ${{ github.event.inputs.branch || github.head_ref || github.ref_name }}
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.12"
- name: Start MLflow server with jupyter and vllm
run: |
./start_services.sh -d --vllm
- name: Copy test script to Jupyter container
run: |
docker cp tests/notebooks/run.py modelplane-jupyter-1:/app/test_notebooks.py
- name: Execute all notebooks
run: |
docker exec modelplane-jupyter-1 poetry run python /app/test_notebooks.py
- name: Stop MLflow server
run: docker compose down