186 lines
5.8 KiB
Python
186 lines
5.8 KiB
Python
#!/usr/bin/env python3
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"""
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HFC性能统计数据查看工具
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"""
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import sys
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import json
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import argparse
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from pathlib import Path
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from typing import Dict, Any
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# 添加项目根目录到Python路径
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sys.path.insert(0, str(Path(__file__).parent.parent))
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def format_time(seconds: float) -> str:
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"""格式化时间显示"""
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if seconds < 1:
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return f"{seconds * 1000:.1f}毫秒"
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else:
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return f"{seconds:.3f}秒"
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def display_chat_stats(chat_id: str, stats: Dict[str, Any]):
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"""显示单个聊天的统计数据"""
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print(f"\n=== Chat ID: {chat_id} ===")
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print(f"版本: {stats.get('version', 'unknown')}")
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print(f"最后更新: {stats['last_updated']}")
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overall = stats["overall"]
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print("\n📊 总体统计:")
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print(f" 总记录数: {overall['total_records']}")
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print(f" 平均总时间: {format_time(overall['avg_total_time'])}")
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print("\n⏱️ 各步骤平均时间:")
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for step, avg_time in overall["avg_step_times"].items():
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print(f" {step}: {format_time(avg_time)}")
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print("\n🎯 按动作类型统计:")
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by_action = stats["by_action"]
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# 按比例排序
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sorted_actions = sorted(by_action.items(), key=lambda x: x[1]["percentage"], reverse=True)
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for action, action_stats in sorted_actions:
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print(f" 📌 {action}:")
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print(f" 次数: {action_stats['count']} ({action_stats['percentage']:.1f}%)")
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print(f" 平均总时间: {format_time(action_stats['avg_total_time'])}")
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if action_stats["avg_step_times"]:
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print(" 步骤时间:")
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for step, step_time in action_stats["avg_step_times"].items():
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print(f" {step}: {format_time(step_time)}")
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def display_comparison(stats_data: Dict[str, Dict[str, Any]]):
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"""显示多个聊天的对比数据"""
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if len(stats_data) < 2:
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return
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print("\n=== 多聊天对比 ===")
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# 创建对比表格
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chat_ids = list(stats_data.keys())
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print("\n📊 总体对比:")
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print(f"{'Chat ID':<20} {'版本':<12} {'记录数':<8} {'平均时间':<12} {'最常见动作':<15}")
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print("-" * 70)
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for chat_id in chat_ids:
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stats = stats_data[chat_id]
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overall = stats["overall"]
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# 找到最常见的动作
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most_common_action = max(stats["by_action"].items(), key=lambda x: x[1]["count"])
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most_common_name = most_common_action[0]
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most_common_pct = most_common_action[1]["percentage"]
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version = stats.get("version", "unknown")
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print(
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f"{chat_id:<20} {version:<12} {overall['total_records']:<8} {format_time(overall['avg_total_time']):<12} {most_common_name}({most_common_pct:.0f}%)"
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)
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def view_session_logs(chat_id: str = None, latest: bool = False):
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"""查看会话日志文件"""
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log_dir = Path("log/hfc_loop")
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if not log_dir.exists():
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print("❌ 日志目录不存在")
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return
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if chat_id:
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pattern = f"{chat_id}_*.json"
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else:
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pattern = "*.json"
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log_files = list(log_dir.glob(pattern))
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if not log_files:
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print(f"❌ 没有找到匹配的日志文件: {pattern}")
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return
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if latest:
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# 按文件修改时间排序，取最新的
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log_files.sort(key=lambda f: f.stat().st_mtime, reverse=True)
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log_files = log_files[:1]
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for log_file in log_files:
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print(f"\n=== 会话日志: {log_file.name} ===")
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try:
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with open(log_file, "r", encoding="utf-8") as f:
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records = json.load(f)
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if not records:
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print(" 空文件")
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continue
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print(f" 记录数: {len(records)}")
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print(f" 时间范围: {records[0]['timestamp']} ~ {records[-1]['timestamp']}")
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# 统计动作分布
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action_counts = {}
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total_time = 0
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for record in records:
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action = record["action_type"]
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action_counts[action] = action_counts.get(action, 0) + 1
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total_time += record["total_time"]
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print(f" 总耗时: {format_time(total_time)}")
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print(f" 平均耗时: {format_time(total_time / len(records))}")
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print(f" 动作分布: {dict(action_counts)}")
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except Exception as e:
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print(f" ❌ 读取文件失败: {e}")
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def main():
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parser = argparse.ArgumentParser(description="HFC性能统计数据查看工具")
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parser.add_argument("--chat-id", help="指定要查看的Chat ID")
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parser.add_argument("--logs", action="store_true", help="查看会话日志文件")
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parser.add_argument("--latest", action="store_true", help="只显示最新的日志文件")
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parser.add_argument("--compare", action="store_true", help="显示多聊天对比")
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args = parser.parse_args()
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if args.logs:
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view_session_logs(args.chat_id, args.latest)
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return
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# 读取统计数据
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stats_file = Path("data/hfc/time.json")
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if not stats_file.exists():
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print("❌ 统计数据文件不存在，请先运行一些HFC循环以生成数据")
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return
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try:
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with open(stats_file, "r", encoding="utf-8") as f:
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stats_data = json.load(f)
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except Exception as e:
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print(f"❌ 读取统计数据失败: {e}")
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return
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if not stats_data:
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print("❌ 统计数据为空")
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return
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if args.chat_id:
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if args.chat_id in stats_data:
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display_chat_stats(args.chat_id, stats_data[args.chat_id])
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else:
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print(f"❌ 没有找到Chat ID '{args.chat_id}' 的数据")
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print(f"可用的Chat ID: {list(stats_data.keys())}")
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else:
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# 显示所有聊天的统计数据
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for chat_id, stats in stats_data.items():
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display_chat_stats(chat_id, stats)
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if args.compare:
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display_comparison(stats_data)
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if __name__ == "__main__":
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main()
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