e75c4d6f07
- Remove session-ses_2f27.md (161KB raw session log) - Remove 49 ROOT_* duplicate files across REFERENCE/ - Remove 14 duplicate files between REFERENCE/ root and history/ - Remove asr_legacy.rs (dead code, replaced by asr.rs) - Remove src/core/worker/ (duplicate JobWorker) - Remove src/core/layers/ (empty directory) - Remove 4 .bak files in src/ - Remove 7 dead private methods in worker/processor.rs - Remove backup directory from git tracking
243 lines
6.9 KiB
Python
243 lines
6.9 KiB
Python
#!/usr/bin/env python3
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"""
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最終人臉識別系統驗證
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測試所有核心功能
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"""
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import sys
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import os
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import subprocess
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def run_test(script_name, description):
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"""運行測試腳本並返回結果"""
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print(f"\n{description}")
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print("-" * 40)
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try:
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result = subprocess.run(
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["python3", script_name],
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capture_output=True,
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text=True,
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cwd="/Users/accusys/momentry_core_0.1",
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)
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if result.returncode == 0:
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print("✅ 測試通過")
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# 提取關鍵信息
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for line in result.stdout.split("\n"):
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if any(keyword in line for keyword in ["✅", "檢測到", "成功", "通過"]):
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print(f" {line.strip()}")
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return True
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else:
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print("❌ 測試失敗")
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print(f"錯誤輸出:\n{result.stderr[:500]}") # 限制輸出長度
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return False
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except Exception as e:
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print(f"❌ 測試異常: {e}")
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return False
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def check_server_status():
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"""檢查服務器狀態"""
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print("\n檢查服務器狀態")
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print("-" * 40)
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try:
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import requests
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response = requests.get("http://localhost:3002/health", timeout=5)
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if response.status_code == 200:
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print("✅ 生產服務器運行正常 (端口 3002)")
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return True
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else:
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print(f"❌ 生產服務器異常: {response.status_code}")
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return False
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except Exception as e:
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print(f"❌ 無法連接到生產服務器: {e}")
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try:
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import requests
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response = requests.get("http://localhost:3003/health", timeout=5)
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if response.status_code == 200:
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print("✅ 開發服務器運行正常 (端口 3003)")
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return True
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else:
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print(f"❌ 開發服務器異常: {response.status_code}")
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return False
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except Exception as e:
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print(f"❌ 無法連接到開發服務器: {e}")
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return False
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def check_database():
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"""檢查數據庫連接"""
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print("\n檢查數據庫連接")
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print("-" * 40)
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try:
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import psycopg2
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conn = psycopg2.connect(
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host="localhost",
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port=5432,
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database="momentry",
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user="accusys",
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password="accusys",
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)
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cursor = conn.cursor()
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# 檢查人臉相關表
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cursor.execute("""
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SELECT table_name
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FROM information_schema.tables
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WHERE table_schema = 'public'
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AND table_name LIKE 'face_%'
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ORDER BY table_name
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""")
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tables = cursor.fetchall()
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print("✅ 數據庫連接正常")
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print(f"✅ 找到 {len(tables)} 個人臉相關表:")
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for table in tables:
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print(f" - {table[0]}")
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cursor.close()
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conn.close()
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return True
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except Exception as e:
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print(f"❌ 數據庫連接失敗: {e}")
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return False
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def check_python_dependencies():
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"""檢查 Python 依賴"""
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print("\n檢查 Python 依賴")
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print("-" * 40)
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dependencies = [
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"insightface",
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"onnxruntime",
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"psycopg2",
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"numpy",
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"opencv-python",
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"requests",
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]
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all_ok = True
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for dep in dependencies:
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try:
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__import__(dep.replace("-", "_"))
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print(f"✅ {dep}")
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except ImportError:
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print(f"❌ {dep} (未安裝)")
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all_ok = False
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return all_ok
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def main():
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"""主驗證函數"""
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print("=" * 60)
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print("人臉識別系統最終驗證")
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print("=" * 60)
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# 基本檢查
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basic_checks = [
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("服務器狀態", check_server_status),
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("數據庫連接", check_database),
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("Python 依賴", check_python_dependencies),
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]
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# 功能測試
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functional_tests = [
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("scripts/test_with_real_image.py", "人臉檢測功能測試"),
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("scripts/test_face_direct.py", "直接人臉識別測試"),
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("scripts/test_end_to_end.py", "端到端系統測試"),
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("scripts/test_face_api.py", "API 接口測試"),
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]
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print("\n基本系統檢查:")
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print("=" * 40)
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basic_results = []
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for check_name, check_func in basic_checks:
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success = check_func()
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basic_results.append((check_name, success))
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print("\n功能測試:")
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print("=" * 40)
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functional_results = []
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for script_path, description in functional_tests:
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full_path = os.path.join("/Users/accusys/momentry_core_0.1", script_path)
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if os.path.exists(full_path):
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success = run_test(script_path, description)
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functional_results.append((description, success))
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else:
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print(f"\n{description}")
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print("-" * 40)
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print(f"❌ 測試腳本不存在: {script_path}")
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functional_results.append((description, False))
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# 顯示結果摘要
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print("\n" + "=" * 60)
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print("驗證結果摘要")
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print("=" * 60)
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print("\n基本系統檢查:")
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basic_passed = sum(1 for _, success in basic_results if success)
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for check_name, success in basic_results:
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status = "✅ 通過" if success else "❌ 失敗"
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print(f" {check_name}: {status}")
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print(f"\n ✅ {basic_passed}/{len(basic_results)} 個基本檢查通過")
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print("\n功能測試:")
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functional_passed = sum(1 for _, success in functional_results if success)
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for test_name, success in functional_results:
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status = "✅ 通過" if success else "❌ 失敗"
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print(f" {test_name}: {status}")
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print(f"\n ✅ {functional_passed}/{len(functional_tests)} 個功能測試通過")
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total_passed = basic_passed + functional_passed
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total_tests = len(basic_results) + len(functional_tests)
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print(f"\n總計: {total_passed}/{total_tests} 個測試通過")
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if total_passed == total_tests:
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print("\n🎉 所有測試通過！人臉識別系統完全可用。")
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print("\n系統功能驗證完成:")
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print(" ✅ 人臉檢測和特徵提取")
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print(" ✅ 數據庫存儲和查詢")
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print(" ✅ 向量相似度搜索")
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print(" ✅ 系統集成完整性")
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print(" ✅ API 接口功能")
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print(" ✅ MPS 加速支援")
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print("\n下一步操作:")
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print(" 1. 使用真實視頻進行人臉識別測試")
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print(" 2. 部署到生產環境")
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print(" 3. 配置監控和警報")
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print(" 4. 性能優化和測試")
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return True
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else:
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print(f"\n⚠️ 有 {total_tests - total_passed} 個測試失敗")
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print("\n建議:")
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print(" 1. 檢查失敗的測試詳細信息")
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print(" 2. 確保所有依賴已正確安裝")
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print(" 3. 驗證數據庫連接和表結構")
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print(" 4. 檢查服務器日誌獲取更多信息")
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return False
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if __name__ == "__main__":
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success = main()
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sys.exit(0 if success else 1)
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