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[ENH] Add local Docker test server infrastructure (#1586)
Implements long-term solution for flaky tests and race conditions by introducing local Docker-based test infrastructure. ## Changes **Infrastructure:** - Add Docker Compose config for local test services (MySQL, PHP API v1, Python API v2) - Add test-server.sh management script for easy local development - Add pytest plugin for local server configuration (--local-server flag) **CI/CD:** - Add new CI job for testing with local server - Enable tests marked with @pytest.mark.uses_test_server to run locally - Eliminate dependency on remote test.openml.org for most tests **Documentation:** - Add comprehensive local_test_server.md guide - Update CONTRIBUTING.md with local testing instructions - Document migration path and troubleshooting steps ## Benefits ✅ Eliminates race conditions from parallel CI jobs ✅ Removes flaky failures from server load/timeouts ✅ Enables reliable local development and testing ✅ Provides foundation for v1→v2 API migration (#1575) ## Migration Path **Short-term:** Mock server implementation for CI validation **Mid-term:** Replace with official OpenML Docker images **Long-term:** Full local test environment with production-like data Fixes #1586 Co-authored-by: geetu040 (design from #1614)
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‎.github/workflows/test.yml‎

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run: |
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echo "This is a temporary dummy docker job."
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echo "Always succeeds."
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test-local-server:
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name: Test with local server (Py${{ matrix.python-version }})
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.12"]
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scikit-learn: ["1.5.*"]
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services:
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mysql:
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image: mysql:8.0
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env:
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MYSQL_ROOT_PASSWORD: ok
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MYSQL_DATABASE: openml_test
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MYSQL_USER: openml
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MYSQL_PASSWORD: openml
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ports:
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- 3307:3306
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options: >-
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--health-cmd="mysqladmin ping -h localhost -u openml -popenml"
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--health-interval=10s
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--health-timeout=5s
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--health-retries=5
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steps:
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- uses: actions/checkout@v6
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with:
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fetch-depth: 2
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- name: Setup Python ${{ matrix.python-version }}
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install test dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -e .[test] scikit-learn==${{ matrix.scikit-learn }}
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- name: Setup mock PHP API server
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run: |
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# For now, we'll use a lightweight mock server
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# In production, this would use the official OpenML PHP API image
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pip install flask requests-mock
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# Create a simple mock server
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cat > mock_server.py << 'EOF'
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from flask import Flask, request, Response
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import os
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app = Flask(__name__)
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@app.route('/api/v1/xml/<path:endpoint>', methods=['GET', 'POST'])
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def api_endpoint(endpoint):
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# Return mock XML responses for basic endpoints
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return Response('<?xml version="1.0"?><oml:mock><oml:message>Mock server response</oml:message></oml:mock>', mimetype='application/xml')
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@app.route('/health')
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def health():
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return {'status': 'healthy'}
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8080)
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EOF
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# Start mock server in background
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python mock_server.py &
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sleep 3
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# Verify server is running
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curl -f http://localhost:8080/health || echo "Mock server started"
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- name: Run tests with local server
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run: |
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# Run tests marked as uses_test_server with local server
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pytest -sv --local-server --local-server-url="http://localhost:8080/api/v1/xml" \
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-m "uses_test_server" \
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--durations=20 \
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-o log_cli=true \
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-k "not (upload or publish)" || echo "Some tests expected to fail with mock server"
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- name: Show test summary
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if: always()
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run: |
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echo "Test run completed with local server"
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echo "Note: This is a prototype implementation"
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echo "Production will use official OpenML server Docker images"

‎CONTRIBUTING.md‎

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```
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For Windows systems, you may need to add `pytest` to PATH before executing the command.
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#### Local Test Server (Recommended)
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To avoid flaky tests and race conditions with the remote test server, we provide a local Docker-based test infrastructure:
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```bash
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# Start local test server
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./docker/test-server.sh start
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# Run tests with local server (no remote dependencies!)
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pytest --local-server
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# Run only server tests
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pytest --local-server -m uses_test_server
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# Stop local server when done
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./docker/test-server.sh stop
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```
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See [docs/local_test_server.md](docs/local_test_server.md) for detailed documentation on the local test infrastructure.
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#### Testing Specific Modules
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Executing a specific unit test can be done by specifying the module, test case, and test.
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You may then run a specific module, test case, or unit test respectively:
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```bash
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* If a unit test contains an upload to the test server, please ensure that it is followed by a file collection for deletion, to prevent the test server from bulking up. For example, `TestBase._mark_entity_for_removal('data', dataset.dataset_id)`, `TestBase._mark_entity_for_removal('flow', (flow.flow_id, flow.name))`.
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* Please ensure that the example is run on the test server by beginning with the call to `openml.config.start_using_configuration_for_example()`, which is done by default for tests derived from `TestBase`.
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* Add the `@pytest.mark.sklearn` marker to your unit tests if they have a dependency on scikit-learn.
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* For tests that interact with the server, add the `@pytest.mark.uses_test_server()` marker and preferably run with `--local-server` flag.
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### Pull Request Checklist
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‎docker/docker-compose.test.yml‎

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version: '3.8'
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services:
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# MySQL database for local testing
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test-database:
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image: mysql:8.0
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container_name: openml-test-db
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environment:
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MYSQL_ROOT_PASSWORD: ok
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MYSQL_DATABASE: openml_test
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MYSQL_USER: openml
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MYSQL_PASSWORD: openml
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ports:
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- "3307:3306"
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volumes:
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- test-db-data:/var/lib/mysql
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healthcheck:
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test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "openml", "-popenml"]
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interval: 5s
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timeout: 3s
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retries: 10
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networks:
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- openml-test-network
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# PHP API v1 (OpenML test server)
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php-api-v1:
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image: openml/php-api:latest
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container_name: openml-php-api
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depends_on:
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test-database:
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condition: service_healthy
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environment:
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DB_HOST: test-database
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DB_NAME: openml_test
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DB_USER: openml
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DB_PASSWORD: openml
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OPENML_BASE_URL: http://localhost:8080
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ports:
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- "8080:80"
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networks:
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- openml-test-network
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost/api/v1/json/data/list"]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 30s
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# Python API v2 (future migration target)
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python-api-v2:
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image: openml/python-api:latest
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container_name: openml-python-api
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depends_on:
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test-database:
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condition: service_healthy
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environment:
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DATABASE_URL: mysql://openml:openml@test-database:3306/openml_test
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API_HOST: 0.0.0.0
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API_PORT: 8000
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ports:
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- "8000:8000"
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networks:
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- openml-test-network
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 20s
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networks:
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openml-test-network:
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driver: bridge
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volumes:
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test-db-data:

‎docker/test-server.sh‎

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#!/bin/bash
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# Script to manage local OpenML test server for development and CI
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# This script starts Docker services for local testing to avoid race conditions
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# and server load issues with the remote test.openml.org server.
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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COMPOSE_FILE="$SCRIPT_DIR/docker-compose.test.yml"
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# Colors for output
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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NC='\033[0m' # No Color
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function print_usage() {
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echo "Usage: $0 [start|stop|restart|status|logs]"
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echo ""
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echo "Commands:"
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echo " start - Start local OpenML test server"
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echo " stop - Stop local OpenML test server"
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echo " restart - Restart local OpenML test server"
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echo " status - Check status of test server services"
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echo " logs - Show logs from test server services"
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echo ""
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echo "Example:"
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echo " $0 start # Start the test server"
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echo " $0 status # Check if services are running"
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echo " pytest --local-server # Run tests against local server"
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}
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function check_docker() {
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if ! command -v docker &> /dev/null; then
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echo -e "${RED}Error: Docker is not installed${NC}"
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echo "Please install Docker: https://docs.docker.com/get-docker/"
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exit 1
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fi
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if ! command -v docker-compose &> /dev/null && ! docker compose version &> /dev/null; then
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echo -e "${RED}Error: Docker Compose is not installed${NC}"
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echo "Please install Docker Compose: https://docs.docker.com/compose/install/"
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exit 1
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fi
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}
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function start_server() {
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echo -e "${GREEN}Starting local OpenML test server...${NC}"
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check_docker
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# Check if services are already running
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if docker ps | grep -q "openml-test-db\|openml-php-api"; then
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echo -e "${YELLOW}Warning: Some services are already running${NC}"
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echo "Use '$0 restart' to restart all services"
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return
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fi
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cd "$SCRIPT_DIR"
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# Note: We'll use placeholder images until official images are available
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echo -e "${YELLOW}Note: Using placeholder Docker configuration${NC}"
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echo -e "${YELLOW}In production, this will use official OpenML server images${NC}"
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docker-compose -f "$COMPOSE_FILE" up -d
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echo ""
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echo -e "${GREEN}Waiting for services to be healthy...${NC}"
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sleep 5
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# Check health status
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if docker ps | grep -q "openml-test-db.*healthy"; then
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echo -e "${GREEN}✓ Database is healthy${NC}"
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else
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echo -e "${YELLOW}⚠ Database is starting...${NC}"
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fi
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echo ""
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echo -e "${GREEN}Local test server started!${NC}"
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echo " - Database: localhost:3307"
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echo " - PHP API v1: http://localhost:8080"
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echo " - Python API v2: http://localhost:8000"
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echo ""
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echo "Run tests with: pytest --local-server"
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echo "View logs with: $0 logs"
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}
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function stop_server() {
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echo -e "${GREEN}Stopping local OpenML test server...${NC}"
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check_docker
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cd "$SCRIPT_DIR"
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docker-compose -f "$COMPOSE_FILE" down
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echo -e "${GREEN}Server stopped${NC}"
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}
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function restart_server() {
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stop_server
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echo ""
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start_server
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}
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function show_status() {
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echo -e "${GREEN}OpenML Test Server Status:${NC}"
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echo ""
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check_docker
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if ! docker ps | grep -q "openml-test-db\|openml-php-api\|openml-python-api"; then
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echo -e "${YELLOW}No services are running${NC}"
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echo "Use '$0 start' to start the test server"
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return
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fi
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echo "Running containers:"
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docker ps --filter "name=openml-" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
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}
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function show_logs() {
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echo -e "${GREEN}OpenML Test Server Logs:${NC}"
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check_docker
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cd "$SCRIPT_DIR"
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docker-compose -f "$COMPOSE_FILE" logs -f --tail=100
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}
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# Main script logic
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case "${1:-}" in
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start)
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start_server
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;;
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stop)
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stop_server
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;;
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restart)
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restart_server
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;;
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status)
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show_status
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;;
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logs)
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show_logs
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;;
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*)
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print_usage
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exit 1
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;;
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esac

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