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Add per-call callbacks to train(), harden hyperopt for ray-free envir… #926

Add per-call callbacks to train(), harden hyperopt for ray-free envir…

Add per-call callbacks to train(), harden hyperopt for ray-free envir… #926

Workflow file for this run

# This workflow will install Python dependencies and run all tests marked as `slow` on a single Python version.
name: pytest (slow)
on:
push:
branches: ["main", "release-*"]
jobs:
slow-pytest:
name: py-slow
runs-on: ubuntu-latest
env:
# Use Minio credentials for all S3 operations in tests.
# PyArrow/Ray S3 clients use these env vars directly, so they must point to Minio.
AWS_ACCESS_KEY_ID: minio
AWS_SECRET_ACCESS_KEY: minio123
AWS_ENDPOINT_URL: http://localhost:9000
KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}
KAGGLE_KEY: ${{ secrets.KAGGLE_KEY }}
IS_NOT_FORK: ${{ !(github.event.pull_request.base.repo.full_name == 'ludwig-ai/ludwig' && github.event.pull_request.head.repo.fork) }}
services:
minio:
image: fclairamb/minio-github-actions
env:
MINIO_ACCESS_KEY: minio
MINIO_SECRET_KEY: minio123
ports:
- 9000:9000
timeout-minutes: 150
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Setup Linux
if: runner.os == 'linux'
run: |
sudo apt-get update && sudo apt-get install -y cmake libsndfile1 libsox-dev
- name: Install dependencies
run: |
python --version
pip --version
pip install uv
uv pip install --system torch==2.7.1 torchvision==0.22.1 torchaudio==2.7.1
pip install '.[test]'
pip list
shell: bash
- name: Create Minio test bucket
run: |
python -c "
import boto3
s3 = boto3.client('s3', endpoint_url='http://localhost:9000',
aws_access_key_id='minio', aws_secret_access_key='minio123')
try:
s3.create_bucket(Bucket='ludwig-tests')
except s3.exceptions.BucketAlreadyOwnedByYou:
pass
"
shell: bash
- name: Tests
run: |
RUN_PRIVATE=$IS_NOT_FORK LUDWIG_TEST_SUITE_TIMEOUT_S=7200 pytest -v --timeout 600 --durations 100 -m "slow" --junitxml pytest.xml tests/integration_tests/