""" 测试AI日志记录功能 """ import sys import os from pathlib import Path # 添加项目根目录到路径 project_root = Path(__file__).parent.parent sys.path.insert(0, str(project_root)) from services.ai_logger import get_ai_logger def test_logger(): """测试日志记录器""" print("=" * 60) print("测试AI日志记录功能") print("=" * 60) # 获取日志记录器 logger = get_ai_logger() # 测试记录一次对话 print("\n1. 测试记录对话...") prompt = "请从以下文本中提取信息:张三,男,1980年5月出生,某公司总经理" api_request = { "endpoint": "http://test.example.com/v1/chat/completions", "model": "test-model", "messages": [ {"role": "system", "content": "你是一个数据提取助手"}, {"role": "user", "content": prompt} ], "temperature": 0.2, "max_tokens": 1000, "enable_thinking": False } api_response = { "choices": [ { "message": { "content": '{"target_name": "张三", "target_gender": "男"}' } } ] } extracted_data = { "target_name": "张三", "target_gender": "男", "target_date_of_birth": "1980年05月" } log_file = logger.log_conversation( prompt=prompt, api_request=api_request, api_response=api_response, extracted_data=extracted_data, error=None, session_id="test_session_001" ) if log_file: print(f"✓ 日志已保存: {log_file}") else: print("✗ 日志保存失败") return # 测试读取日志 print("\n2. 测试读取日志...") log_data = logger.read_log(log_file) if log_data: print(f"✓ 日志读取成功") print(f" 时间戳: {log_data['timestamp']}") print(f" 会话ID: {log_data['session_id']}") print(f" 成功: {log_data['success']}") print(f" 提取的字段数: {len(log_data.get('extracted_data', {}))}") else: print("✗ 日志读取失败") return # 测试获取最近的日志 print("\n3. 测试获取最近的日志...") recent_logs = logger.get_recent_logs(limit=5) print(f"✓ 找到 {len(recent_logs)} 条最近的日志") for i, log_file in enumerate(recent_logs, 1): print(f" {i}. {Path(log_file).name}") print("\n" + "=" * 60) print("测试完成!") print("=" * 60) print(f"\n日志目录: {logger.log_dir}") print(f"日志状态: {'启用' if logger.enabled else '禁用'}") if __name__ == "__main__": test_logger()