b54c2def30
- Add database migrations (006-028) for face recognition, identity, file_uuid - Add test scripts for ASR, face, search, processing - Add portal frontend (Tauri) - Add config, benchmark, and monitoring utilities - Add model checkpoints and pretrained model references
396 lines
13 KiB
Python
396 lines
13 KiB
Python
#!/opt/homebrew/bin/python3.11
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"""
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性能基准测试 - 验证合约合规处理器的 <5% 开销要求
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Performance Benchmark - Verify <5% overhead requirement for contract-compliant processors
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"""
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import sys
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import json
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import os
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import time
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import subprocess
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import statistics
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from datetime import datetime
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from pathlib import Path
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from typing import Dict, List, Any
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# Test configuration
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TEST_VIDEO = "/Users/accusys/test_video/BigBuckBunny_320x180.mp4"
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TEST_OUTPUT_DIR = "/tmp/performance_benchmark"
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NUM_RUNS = 3 # Number of runs per processor
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WARMUP_RUNS = 1 # Warmup runs (discarded)
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# Processors to test (legacy vs contract)
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PROCESSORS = {
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"asr": {
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"legacy": "scripts/asr_processor.py",
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"contract": "scripts/asr_processor_contract_v2.py",
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"timeout": 300, # 5 minutes
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"args": ["--model-size", "tiny", "--device", "cpu"],
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},
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"ocr": {
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"legacy": "scripts/ocr_processor.py",
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"contract": "scripts/ocr_processor_contract_v1.py",
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"timeout": 600, # 10 minutes
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"args": ["--languages", "en", "--confidence", "0.7"],
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},
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# Note: YOLO, Face, Pose require models and may take too long
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# We'll test the lighter processors first
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}
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def prepare_test_environment():
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"""准备测试环境"""
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print("准备测试环境...")
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# Create output directory
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os.makedirs(TEST_OUTPUT_DIR, exist_ok=True)
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# Check test video exists
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if not os.path.exists(TEST_VIDEO):
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print(f"错误: 测试视频不存在: {TEST_VIDEO}")
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return False
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print(f"测试视频: {TEST_VIDEO}")
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print(f"输出目录: {TEST_OUTPUT_DIR}")
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print(f"每个处理器运行次数: {NUM_RUNS} (热身: {WARMUP_RUNS})")
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print()
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return True
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def run_processor(processor_type: str, version: str, run_id: int) -> Dict[str, Any]:
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"""运行处理器并测量性能"""
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processor_info = PROCESSORS[processor_type]
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script_path = processor_info[version]
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timeout = processor_info["timeout"]
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args = processor_info.get("args", [])
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# Prepare output file
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output_file = os.path.join(
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TEST_OUTPUT_DIR, f"{processor_type}_{version}_run{run_id}.json"
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)
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# Build command
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cmd = [
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"python3",
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script_path,
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TEST_VIDEO,
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output_file,
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"--uuid",
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f"benchmark_{processor_type}_{version}_{run_id}",
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"--timeout",
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str(timeout),
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] + args
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print(f"运行: {processor_type.upper()} ({version}) - 运行 #{run_id}")
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print(f" 命令: {' '.join(cmd[:6])}...")
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# Run processor
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start_time = time.time()
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try:
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result = subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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timeout=timeout + 60, # Add buffer
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)
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elapsed = time.time() - start_time
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# Check if output file was created
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output_exists = os.path.exists(output_file)
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output_size = os.path.getsize(output_file) if output_exists else 0
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# Try to read output JSON
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output_data = None
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if output_exists and output_size > 0:
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try:
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with open(output_file, "r") as f:
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output_data = json.load(f)
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except:
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output_data = {"error": "Failed to parse output"}
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return {
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"success": result.returncode == 0,
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"elapsed_time": elapsed,
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"returncode": result.returncode,
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"stdout": result.stdout[-500:] if result.stdout else "", # Last 500 chars
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"stderr": result.stderr[-500:] if result.stderr else "", # Last 500 chars
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"output_exists": output_exists,
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"output_size": output_size,
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"output_data": output_data,
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}
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except subprocess.TimeoutExpired:
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elapsed = time.time() - start_time
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return {
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"success": False,
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"elapsed_time": elapsed,
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"returncode": -1,
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"stdout": "",
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"stderr": f"超时 ({timeout} 秒)",
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"output_exists": False,
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"output_size": 0,
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"output_data": None,
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}
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except Exception as e:
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elapsed = time.time() - start_time
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return {
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"success": False,
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"elapsed_time": elapsed,
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"returncode": -1,
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"stdout": "",
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"stderr": str(e),
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"output_exists": False,
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"output_size": 0,
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"output_data": None,
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}
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def run_benchmark():
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"""运行完整的基准测试"""
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print("=" * 80)
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print("性能基准测试 - 合约合规处理器")
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print(f"时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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print("=" * 80)
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print()
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if not prepare_test_environment():
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return
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results = {}
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# Test each processor
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for processor_type in PROCESSORS:
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print(f"\n测试 {processor_type.upper()} 处理器...")
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print("-" * 40)
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processor_results = {
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"legacy": {"runs": [], "summary": {}},
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"contract": {"runs": [], "summary": {}},
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}
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# Test both versions
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for version in ["legacy", "contract"]:
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print(f"\n版本: {version}")
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# Warmup runs (discarded)
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if WARMUP_RUNS > 0:
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print(f" 热身运行 ({WARMUP_RUNS} 次)...")
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for warmup in range(WARMUP_RUNS):
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run_result = run_processor(processor_type, version, warmup)
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if not run_result["success"]:
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print(f" 热身失败: {run_result.get('stderr', '未知错误')}")
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# Actual test runs
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run_times = []
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successes = 0
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for run in range(NUM_RUNS):
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run_result = run_processor(processor_type, version, run)
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processor_results[version]["runs"].append(run_result)
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if run_result["success"]:
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successes += 1
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run_times.append(run_result["elapsed_time"])
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print(
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f" 运行 #{run}: {run_result['elapsed_time']:.1f} 秒 - ✅ 成功"
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)
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else:
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print(
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f" 运行 #{run}: {run_result['elapsed_time']:.1f} 秒 - ❌ 失败"
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)
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if run_result.get("stderr"):
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print(f" 错误: {run_result['stderr'][:100]}...")
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# Calculate statistics
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if run_times:
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processor_results[version]["summary"] = {
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"success_rate": successes / NUM_RUNS,
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"runs_completed": successes,
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"total_runs": NUM_RUNS,
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"min_time": min(run_times),
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"max_time": max(run_times),
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"avg_time": statistics.mean(run_times),
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"median_time": statistics.median(run_times),
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"std_dev": statistics.stdev(run_times) if len(run_times) > 1 else 0,
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}
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else:
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processor_results[version]["summary"] = {
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"success_rate": 0,
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"runs_completed": 0,
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"total_runs": NUM_RUNS,
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"min_time": 0,
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"max_time": 0,
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"avg_time": 0,
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"median_time": 0,
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"std_dev": 0,
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}
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summary = processor_results[version]["summary"]
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print(f" 总结: {summary['runs_completed']}/{summary['total_runs']} 成功")
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if summary["runs_completed"] > 0:
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print(f" 平均时间: {summary['avg_time']:.1f} 秒")
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print(
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f" 时间范围: {summary['min_time']:.1f} - {summary['max_time']:.1f} 秒"
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)
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results[processor_type] = processor_results
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# Calculate overhead
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legacy_avg = processor_results["legacy"]["summary"]["avg_time"]
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contract_avg = processor_results["contract"]["summary"]["avg_time"]
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if legacy_avg > 0 and contract_avg > 0:
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overhead = ((contract_avg - legacy_avg) / legacy_avg) * 100
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print(f"\n开销分析:")
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print(f" 传统版本: {legacy_avg:.1f} 秒")
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print(f" 合约版本: {contract_avg:.1f} 秒")
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print(f" 开销: {overhead:.1f}%")
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if overhead <= 5:
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print(f" ✅ 通过: 开销 ≤ 5%")
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else:
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print(f" ❌ 失败: 开销 > 5%")
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else:
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print(f"\n⚠️ 无法计算开销: 缺少有效数据")
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# Generate final report
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print("\n" + "=" * 80)
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print("基准测试完成报告")
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print("=" * 80)
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all_passed = True
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overhead_results = {}
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for processor_type, processor_results in results.items():
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legacy_avg = processor_results["legacy"]["summary"]["avg_time"]
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contract_avg = processor_results["contract"]["summary"]["avg_time"]
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if legacy_avg > 0 and contract_avg > 0:
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overhead = ((contract_avg - legacy_avg) / legacy_avg) * 100
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passed = overhead <= 5
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overhead_results[processor_type] = {
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"legacy_avg": legacy_avg,
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"contract_avg": contract_avg,
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"overhead_percent": overhead,
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"passed": passed,
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}
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status = "✅ 通过" if passed else "❌ 失败"
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print(f"{processor_type.upper()}: {status} (开销: {overhead:.1f}%)")
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if not passed:
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all_passed = False
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else:
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print(f"{processor_type.upper()}: ⚠️ 数据不足")
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all_passed = False
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# Overall result
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print("\n" + "=" * 80)
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if all_passed:
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print("🎉 所有处理器通过 <5% 开销要求!")
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else:
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print("⚠️ 部分处理器未通过开销要求")
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# Save detailed results
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report_file = os.path.join(
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TEST_OUTPUT_DIR, f"benchmark_report_{int(time.time())}.json"
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)
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with open(report_file, "w") as f:
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json.dump(
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{
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"timestamp": datetime.now().isoformat(),
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"test_config": {
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"test_video": TEST_VIDEO,
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"num_runs": NUM_RUNS,
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"warmup_runs": WARMUP_RUNS,
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"processors_tested": list(PROCESSORS.keys()),
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},
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"results": results,
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"overhead_analysis": overhead_results,
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"overall_passed": all_passed,
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},
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f,
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indent=2,
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ensure_ascii=False,
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)
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print(f"\n详细报告保存到: {report_file}")
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print("=" * 80)
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return all_passed
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def quick_smoke_test():
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"""快速冒烟测试 - 检查处理器是否能正常运行"""
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print("快速冒烟测试...")
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print("-" * 40)
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test_processors = ["asr", "ocr"] # Test lighter processors first
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for processor_type in test_processors:
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print(f"\n测试 {processor_type.upper()}...")
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# Test contract version only (legacy might not have health check)
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processor_info = PROCESSORS[processor_type]
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script_path = processor_info["contract"]
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# Run health check (requires dummy arguments)
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cmd = ["python3", script_path, "--check-health", "dummy.mp4", "dummy.json"]
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try:
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result = subprocess.run(
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cmd,
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capture_output=True,
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text=True,
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timeout=30,
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)
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if result.returncode == 0:
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print(f" ✅ 健康检查通过")
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# Try to parse health check output
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try:
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health_data = json.loads(result.stdout)
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checks = health_data.get("checks", [])
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passed = all(
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c["status"] in ["available", "optional"] for c in checks
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)
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if passed:
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print(f" ✅ 所有依赖可用")
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else:
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print(f" ⚠️ 部分依赖缺失")
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for check in checks:
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if check["status"] not in ["available", "optional"]:
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print(f" 缺失: {check['name']}")
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except:
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print(f" ℹ️ 健康检查输出: {result.stdout[:100]}...")
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else:
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print(f" ❌ 健康检查失败")
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print(
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f" 错误: {result.stderr[:100] if result.stderr else '未知错误'}"
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)
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except Exception as e:
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print(f" ❌ 测试失败: {e}")
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print("\n冒烟测试完成")
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if __name__ == "__main__":
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# Check if we should run quick smoke test or full benchmark
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if len(sys.argv) > 1 and sys.argv[1] == "--smoke":
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quick_smoke_test()
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else:
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success = run_benchmark()
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sys.exit(0 if success else 1)
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