update readme for v0.11.0rc1 release (#69)

Signed-off-by: hsliu <liuhongsheng4@huawei.com>
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Roger Wang <hey@rogerw.io>
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Hongsheng LiuandRoger Wang authored and GitHub committed 2025-11-24 14:28:25 +08:00
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# vLLM-omni Testing Scripts
This directory contains automated testing scripts for vLLM-omni serving functionality.
## Scripts Overview
### 1. `test_serving.sh` - Comprehensive Test Suite
Full-featured testing script that performs complete validation of the vLLM-omni serving functionality.
**Features:**
- Model existence validation
- Environment setup verification
- Import functionality testing
- Server startup and health checks
- Text generation testing
- Performance benchmarking
- API client integration testing
- Comprehensive logging and error handling
**Usage:**
```bash
# Use default model and port
./scripts/test_serving.sh
# Use specific model and port
./scripts/test_serving.sh ./models/Qwen3-0.6B 8000
# Use HuggingFace model
./scripts/test_serving.sh Qwen/Qwen3-0.6B 8001
# Show help
./scripts/test_serving.sh --help
```
**Test Coverage:**
- ✅ Model loading and server startup
- ✅ Health and info endpoints
- ✅ Text generation functionality
- ✅ Performance metrics
- ✅ API client integration
- ✅ All imports working correctly
### 2. `quick_test.sh` - Fast Validation
Lightweight script for quick validation after making changes.
**Features:**
- Fast import testing
- Basic server startup
- Health endpoint validation
- Simple text generation test
- Retry mechanism for reliability
**Usage:**
```bash
# Use default port (8000)
./scripts/quick_test.sh
# Use specific port
./scripts/quick_test.sh 8001
```
**Test Coverage:**
- ✅ Import functionality
- ✅ Server startup
- ✅ Health endpoint
- ✅ Basic text generation
## Prerequisites
1. **Conda Environment**: Ensure `vllm_omni` environment is activated
2. **Model Available**: Qwen3-0.6B model should be available in `./models/Qwen3-0.6B/`
3. **Dependencies**: All vLLM-omni dependencies should be installed
## Environment Setup
```bash
# Activate conda environment
conda activate vllm_omni
# Verify installation
python -c "import vllm_omni; print('vLLM-omni ready')"
```
## Model Setup
The scripts expect the Qwen3-0.6B model to be available. You can:
1. **Use local model**: Place model in `./models/Qwen3-0.6B/`
2. **Use HuggingFace model**: Pass `Qwen/Qwen3-0.6B` as model path
3. **Download model**: Use the `download_models.py` script
```bash
# Download model using the provided script
python scripts/download_models.py
```
## Output and Logging
### Test Results
- **Success**: Green `[SUCCESS]` messages
- **Info**: Blue `[INFO]` messages
- **Warnings**: Yellow `[WARNING]` messages
- **Errors**: Red `[ERROR]` messages
### Log Files
- `server.log`: Server startup and runtime logs
- `api_client_test.log`: API client test results
- `simple_usage_test.log`: Simple usage test results
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#!/bin/bash
# vLLM-omni Serving Functionality Test Script
# This script tests the complete serving functionality of vLLM-omni
# Usage: ./scripts/test_serving.sh [model_path] [port]
set -e # Exit on any error
# Configuration
MODEL_PATH=${1:-"./models/Qwen3-0.6B"}
PORT=${2:-8000}
HOST="localhost"
TIMEOUT=30
SERVER_STARTUP_WAIT=15
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Logging functions
log_info() {
echo -e "${BLUE}[INFO]${NC} $1"
}
log_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Cleanup function
cleanup() {
log_info "Cleaning up..."
if [ ! -z "$SERVER_PID" ]; then
log_info "Stopping server (PID: $SERVER_PID)..."
kill $SERVER_PID 2>/dev/null || true
wait $SERVER_PID 2>/dev/null || true
fi
# Kill any remaining vllm processes
pkill -f "vllm serve" 2>/dev/null || true
log_info "Cleanup completed"
}
# Set up trap for cleanup on exit
trap cleanup EXIT
# Check if model exists
check_model() {
log_info "Checking if model exists at: $MODEL_PATH"
if [ ! -d "$MODEL_PATH" ]; then
log_error "Model directory not found: $MODEL_PATH"
log_info "Available models:"
ls -la models/ 2>/dev/null || log_warning "No models directory found"
exit 1
fi
log_success "Model found: $MODEL_PATH"
}
# Check if conda environment is activated
check_environment() {
log_info "Checking conda environment..."
if [[ "$CONDA_DEFAULT_ENV" != "vllm_omni" ]]; then
log_warning "vllm_omni conda environment not activated"
log_info "Attempting to activate vllm_omni environment..."
source $(conda info --base)/etc/profile.d/conda.sh
conda activate vllm_omni
if [[ "$CONDA_DEFAULT_ENV" != "vllm_omni" ]]; then
log_error "Failed to activate vllm_omni environment"
exit 1
fi
fi
log_success "Environment check passed: $CONDA_DEFAULT_ENV"
}
# Test import functionality
test_imports() {
log_info "Testing imports..."
python -c "
import vllm_omni
from vllm_omni.entrypoints.omni_llm import OmniLLM, AsyncOmniLLM
print('✅ All imports successful')
" || {
log_error "Import test failed"
exit 1
}
log_success "Import test passed"
}
# Start the server
start_server() {
log_info "Starting vLLM-omni server on port $PORT..."
log_info "Command: vllm serve $MODEL_PATH --omni --port $PORT"
# Start server in background
vllm serve "$MODEL_PATH" --omni --port "$PORT" > server.log 2>&1 &
SERVER_PID=$!
log_info "Server started with PID: $SERVER_PID"
log_info "Waiting $SERVER_STARTUP_WAIT seconds for server to initialize..."
sleep $SERVER_STARTUP_WAIT
# Check if server is still running
if ! kill -0 $SERVER_PID 2>/dev/null; then
log_error "Server failed to start"
log_info "Server logs:"
cat server.log
exit 1
fi
log_success "Server appears to be running"
}
# Test health endpoint
test_health() {
log_info "Testing health endpoint..."
for attempt in {1..10}; do
local response=$(curl -s -w "%{http_code}" http://$HOST:$PORT/health 2>/dev/null || echo "000")
local http_code="${response: -3}"
local body="${response%???}"
if [ "$http_code" = "200" ]; then
log_success "Health check passed: $body"
return 0
fi
log_warning "Health check attempt $attempt failed (HTTP $http_code). Retrying in 3s..."
sleep 3
done
log_error "Health check failed after multiple attempts"
return 1
}
# Test info endpoint
test_info() {
log_info "Testing info endpoint..."
local response=$(curl -s -w "%{http_code}" http://$HOST:$PORT/info 2>/dev/null || echo "000")
local http_code="${response: -3}"
local body="${response%???}"
if [ "$http_code" = "200" ]; then
log_success "Info endpoint working"
echo "$body" | python -m json.tool 2>/dev/null || log_warning "Info response not valid JSON"
else
log_error "Info endpoint failed (HTTP $http_code): $body"
return 1
fi
}
# Test text generation
test_generation() {
log_info "Testing text generation..."
# Test 1: Simple generation
local response=$(curl -s -X POST http://$HOST:$PORT/generate \
-H "Content-Type: application/json" \
-d '{"prompts": ["Test the server functionality"], "max_tokens": 20, "temperature": 0.7}' \
2>/dev/null || echo "{}")
if echo "$response" | python -c "import sys, json; data=json.load(sys.stdin); exit(0 if 'outputs' in data and len(data['outputs']) > 0 else 1)" 2>/dev/null; then
log_success "Text generation test passed"
echo "$response" | python -c "import sys, json; data=json.load(sys.stdin); print('Generated text:', data['outputs'][0]['text'][:100] + '...' if len(data['outputs'][0]['text']) > 100 else data['outputs'][0]['text'])" 2>/dev/null
else
log_error "Text generation test failed"
echo "Response: $response"
return 1
fi
}
# Test API client example
test_api_client() {
log_info "Testing API client example..."
if [ -f "examples/basic/api_client.py" ]; then
python examples/basic/api_client.py > api_client_test.log 2>&1 || {
log_error "API client test failed"
log_info "API client logs:"
cat api_client_test.log
return 1
}
log_success "API client test passed"
else
log_warning "API client example not found, skipping"
fi
}
# Test AR → DiT pipeline example
test_ar_dit_pipeline() {
log_info "Testing AR → DiT diffusers pipeline example..."
if ! python - 2>/dev/null <<'PY'
import importlib
for pkg in ("torch", "diffusers"):
if importlib.util.find_spec(pkg) is None:
raise ImportError(pkg)
PY
then
log_warning "Required packages for diffusers pipeline not found, skipping AR → DiT test"
return 0
fi
if [ ! -f "examples/omni/ar_dit_diffusers.py" ]; then
log_warning "AR → DiT example not found, skipping"
return 0
fi
local output_path="logs/ar_dit_pipeline.png"
local log_path="logs/ar_dit_pipeline.log"
rm -f "$output_path"
local cmd=(python examples/omni/ar_dit_diffusers.py
--prompt "Smoke test prompt of a lighthouse"
--seed 0
--output "$output_path")
local env_prefix=()
if [ -n "$AR_MODEL" ]; then
env_prefix+=("AR_MODEL=$AR_MODEL")
fi
if [ -n "$DIT_MODEL" ]; then
env_prefix+=("DIT_MODEL=$DIT_MODEL")
fi
if ! env "${env_prefix[@]}" "${cmd[@]}" >"$log_path" 2>&1; then
log_error "AR → DiT pipeline test failed"
log_info "AR → DiT logs:"
cat "$log_path"
return 1
fi
if [ ! -f "$output_path" ]; then
log_error "AR → DiT pipeline did not produce an image"
log_info "AR → DiT logs:"
cat "$log_path"
return 1
fi
log_success "AR → DiT pipeline test passed (output: $output_path)"
}
# Test simple usage example
test_simple_usage() {
log_info "Testing simple usage example..."
if [ -f "examples/basic/simple_usage.py" ]; then
# Run with timeout to avoid hanging
timeout 60 python examples/basic/simple_usage.py > simple_usage_test.log 2>&1 || {
local exit_code=$?
if [ $exit_code -eq 124 ]; then
log_warning "Simple usage test timed out (60s), but this might be normal for model loading"
else
log_error "Simple usage test failed (exit code: $exit_code)"
log_info "Simple usage logs:"
cat simple_usage_test.log
return 1
fi
}
log_success "Simple usage test passed"
else
log_warning "Simple usage example not found, skipping"
fi
}
# Performance test
test_performance() {
log_info "Running performance test..."
local start_time=$(date +%s)
local response=$(curl -s -X POST http://$HOST:$PORT/generate \
-H "Content-Type: application/json" \
-d '{"prompts": ["Performance test prompt"], "max_tokens": 50, "temperature": 0.7}' \
2>/dev/null)
local end_time=$(date +%s)
local duration=$((end_time - start_time))
if echo "$response" | python -c "import sys, json; data=json.load(sys.stdin); exit(0 if 'outputs' in data else 1)" 2>/dev/null; then
log_success "Performance test passed (${duration}s response time)"
else
log_error "Performance test failed"
return 1
fi
}
# Main test function
run_tests() {
log_info "Starting vLLM-omni serving functionality tests..."
log_info "Model: $MODEL_PATH"
log_info "Port: $PORT"
log_info "Host: $HOST"
echo "=========================================="
# Run all tests
check_model
check_environment
test_imports
start_server
# Wait a bit more for server to be fully ready
sleep 5
test_health
test_info
test_generation
test_performance
test_api_client
test_ar_dit_pipeline
# Note: Simple usage test is commented out as it starts its own server
# test_simple_usage
log_success "All tests completed successfully!"
echo "=========================================="
log_info "Test Summary:"
log_info "✅ Model loading and server startup"
log_info "✅ Health and info endpoints"
log_info "✅ Text generation functionality"
log_info "✅ Performance metrics"
log_info "✅ API client integration"
log_info "✅ AR → DiT diffusers pipeline"
log_info "✅ All imports working correctly"
}
# Show usage
show_usage() {
echo "Usage: $0 [model_path] [port]"
echo ""
echo "Arguments:"
echo " model_path Path to the model directory (default: ./models/Qwen3-0.6B)"
echo " port Port to run the server on (default: 8000)"
echo ""
echo "Examples:"
echo " $0 # Use default model and port"
echo " $0 ./models/Qwen3-0.6B 8001 # Use specific model and port"
echo " $0 Qwen/Qwen3-0.6B 8000 # Use HuggingFace model"
}
# Main execution
main() {
# Check for help flag
if [[ "$1" == "-h" || "$1" == "--help" ]]; then
show_usage
exit 0
fi
# Change to script directory
cd "$(dirname "$0")/.."
# Create logs directory if it doesn't exist
mkdir -p logs
# Run tests
run_tests
}
# Run main function with all arguments
main "$@"