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Add vLLM Dockerfile build validation tests
- Add 3 tests for Docker build, components, and security validation - CPU-only tests compatible with CI harness (no GPU required) - Tests run in ~4-5 minutes with Docker image caching - Comprehensive README with troubleshooting guide - Non-invasive: no changes to existing code Tests validate: - Docker image builds successfully - Python 3.12, virtualenv, and paths exist - Container runs as non-root user (security)
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# vLLM Dockerfile Tests
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Validates that the vLLM Docker environment builds correctly and contains all required components.
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## Overview
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This test suite ensures the vLLM Dockerfile:
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- ✅ Builds successfully without errors
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- ✅ Contains required components (Python 3.12, vLLM dependencies)
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- ✅ Runs with proper security (non-root user)
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## Test Structure
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```
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test_vllm/
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├── test_dockerfile.py # 3 tests
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└── README.md # This file
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```
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### Tests
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**TestVLLMDockerBuild** - 3 comprehensive tests (requires Docker):
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1. `test_image_builds_successfully` - Validates Docker build completes
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2. `test_image_has_required_components` - Verifies Python 3.12, virtualenv, paths
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3. `test_container_runs_as_non_root` - Security validation (uid 1000)
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## Running Tests
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### As Part of All Functional Tests (Recommended):
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```bash
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make functional-tests # Runs all functional tests including vLLM
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```
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### Directly with pytest:
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```bash
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# Run only vLLM tests
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pytest tests/functional/test_vllm/test_dockerfile.py -v
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# Or as part of all functional tests
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pytest tests/functional/ -v
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```
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## CI/CD Integration
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### Jenkins
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```groovy
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stage('Test vLLM') {
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steps {
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sh 'pytest tests/functional/test_vllm/test_dockerfile.py -v'
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}
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}
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```
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### GitHub Actions
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```yaml
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- name: Test vLLM Dockerfile
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run: pytest tests/functional/test_vllm/test_dockerfile.py -v
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```
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### GitLab CI
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```yaml
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test:vllm:
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script:
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- pytest tests/functional/test_vllm/test_dockerfile.py -v
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```
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## Performance
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| Run Type | Time |
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|----------|------|
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| First run (with image download) | 5-15 min |
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| Cached run | 3-5 min |
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The Docker image is built once and reused across all tests in the class.
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## Requirements
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### On Your Host Machine (to run tests):
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- Docker daemon running
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- Python 3.8+ (for pytest test runner)
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- pytest, docker Python packages
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### Inside the Docker Container (what gets tested):
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- Python 3.12 (installed by Dockerfile)
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- vLLM dependencies (from base image)
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- ~15GB free disk space for image
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## Troubleshooting
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### Docker not running:
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```bash
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# Error: "Docker is not available or accessible"
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# Solution:
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# macOS/Windows: Start Docker Desktop
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# Linux: sudo systemctl start docker
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```
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### Insufficient disk space:
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```bash
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# Error: "no space left on device"
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# Solution:
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docker system prune -a # Remove unused images
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docker images # Check current images
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df -h # Check disk space
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```
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### Build fails - Base image unavailable:
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```bash
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# Error: "pull access denied" or "manifest unknown"
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# Context: Image pulled from Docker Hub: vllm/vllm-openai:v0.11.0
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# Solution:
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# 1. Check internet connection
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# 2. Verify base image exists: docker pull vllm/vllm-openai:v0.11.0
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# 3. If behind corporate proxy, configure Docker proxy settings
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# 4. If authentication required, login: docker login
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```
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### Build fails - Authentication required:
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```bash
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# Error: "pull access denied for vllm/vllm-openai" with "authentication required"
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# Solution:
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# 1. Login to Docker Hub: docker login
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# 2. Or use credentials: docker login -u <username> -p <password>
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# 3. If using private registry, configure credentials in Docker config
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```
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### Build fails - Dependency installation:
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```bash
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# Error: "E: Unable to locate package python3.12"
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# Context: Dockerfile specifies Python 3.12 installation (line 4)
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# Solution:
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# 1. Verify base image hasn't changed: docker pull vllm/vllm-openai:v0.11.0
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# 2. Check if Dockerfile was modified in public_dropin_gpu_environments/vllm/
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# 3. Try rebuilding without cache: docker build --no-cache
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```
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### Container fails to start:
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```bash
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# Error: "Container did not start in time"
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# Solution:
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# 1. Check Docker daemon logs: docker logs <container-id>
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# 2. Verify sufficient resources (CPU/memory)
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# 3. Check for port conflicts
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```
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## Design Philosophy
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These tests follow best practices:
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- **No redundancy**: Each test validates something unique
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- **Fast feedback**: Docker build happens once, reused across tests
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- **CI-friendly**: Integrates seamlessly with existing test infrastructure
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- **Clear failures**: Detailed error messages for debugging
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"""
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Copyright 2025 DataRobot, Inc. and its affiliates.
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All rights reserved.
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This is proprietary source code of DataRobot, Inc. and its affiliates.
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Released under the terms of DataRobot Tool and Utility Agreement.
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vLLM Dockerfile build and validation tests.
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These tests validate that the vLLM Docker image can be built successfully
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and contains all required components for running in production.
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"""
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import os
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import time
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import docker
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import pytest
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from tests.constants import PUBLIC_DROPIN_GPU_ENVS_PATH
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class TestVLLMDockerBuild:
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"""Docker build tests for vLLM environment (requires Docker)."""
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VLLM_PATH = os.path.join(PUBLIC_DROPIN_GPU_ENVS_PATH, "vllm")
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IMAGE_TAG = "vllm-test:latest"
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@pytest.fixture(scope="class")
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def docker_client(self):
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"""Provides a Docker client, failing if Docker is not available."""
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try:
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client = docker.from_env()
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client.ping()
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return client
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except Exception as e:
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pytest.fail(f"Docker is not available or accessible: {e}")
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@pytest.fixture(scope="class")
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def vllm_image(self, docker_client):
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"""Builds the vLLM Docker image once per test class."""
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try:
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image, build_logs = docker_client.images.build(
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path=self.VLLM_PATH,
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tag=self.IMAGE_TAG,
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rm=True,
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forcerm=True,
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)
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except docker.errors.BuildError as e:
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build_log = "".join([log.get("stream", "") for log in e.build_log or []])
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pytest.fail(
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f"Docker build failed: {e}\nBuild Log (last 50 lines):\n{build_log[-5000:]}"
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)
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yield image
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# Cleanup: remove the image after tests
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try:
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docker_client.images.remove(image.id, force=True)
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except docker.errors.APIError:
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pass # Ignore errors during cleanup
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@pytest.fixture(scope="class")
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def vllm_container(self, docker_client, vllm_image):
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"""Creates and runs a container that is shared across tests in this class."""
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container = docker_client.containers.run(
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vllm_image.id,
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command="sleep 600", # Keep container running for tests
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detach=True,
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)
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# Wait for the container to be in the 'running' state
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for _ in range(10):
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container.reload()
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if container.status == "running":
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break
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time.sleep(1)
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else:
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pytest.fail("Container did not start in time")
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yield container
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# Reliable cleanup
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try:
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container.remove(force=True)
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except docker.errors.APIError:
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pass # Ignore errors during cleanup
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def test_image_builds_successfully(self, vllm_image):
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"""Verify the Docker image was built and has an ID."""
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assert vllm_image is not None
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assert vllm_image.id is not None
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def test_image_has_required_components(self, vllm_container):
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"""Verify the built image contains required paths and packages."""
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required_paths = ["/opt/code", "/opt/venv", "/opt/.home"]
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for path in required_paths:
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exit_code, _ = vllm_container.exec_run(f"test -e {path}")
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assert exit_code == 0, f"Required path not found in container: {path}"
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# Check for Python 3.12
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exit_code, _ = vllm_container.exec_run("python3.12 --version")
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assert exit_code == 0, "Python 3.12 not found in container"
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# Check that virtualenv was created
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exit_code, _ = vllm_container.exec_run("/opt/venv/bin/python --version")
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assert exit_code == 0, "Virtualenv Python not found in container"
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def test_container_runs_as_non_root(self, vllm_container):
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"""Verify the container runs with the correct non-root user."""
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exit_code, output = vllm_container.exec_run("whoami")
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assert exit_code == 0
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# The user is 'datarobot' in the Dockerfile
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assert output.decode().strip() == "datarobot"
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