mirror of https://github.com/Mai-with-u/MaiBot.git
log:修改一些log
SengokuCola
parent
1ddedc1dc6
commit
20013a1a2c
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@ -1,285 +0,0 @@
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import time
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import sys
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import os
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from typing import Dict, List, Tuple, Optional
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from datetime import datetime
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# Add project root to Python path
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project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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sys.path.insert(0, project_root)
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from src.common.database.database_model import Messages, ChatStreams # noqa
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def get_chat_name(chat_id: str) -> str:
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"""Get chat name from chat_id by querying ChatStreams table directly"""
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try:
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chat_stream = ChatStreams.get_or_none(ChatStreams.stream_id == chat_id)
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if chat_stream is None:
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return f"未知聊天 ({chat_id})"
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if chat_stream.group_name:
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return f"{chat_stream.group_name} ({chat_id})"
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elif chat_stream.user_nickname:
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return f"{chat_stream.user_nickname}的私聊 ({chat_id})"
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else:
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return f"未知聊天 ({chat_id})"
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except Exception:
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return f"查询失败 ({chat_id})"
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def format_timestamp(timestamp: float) -> str:
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"""Format timestamp to readable date string"""
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try:
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return datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S")
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except (ValueError, OSError):
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return "未知时间"
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def calculate_interest_value_distribution(messages) -> Dict[str, int]:
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"""Calculate distribution of interest_value"""
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distribution = {
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"0.000-0.010": 0,
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"0.010-0.050": 0,
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"0.050-0.100": 0,
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"0.100-0.500": 0,
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"0.500-1.000": 0,
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"1.000-2.000": 0,
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"2.000-5.000": 0,
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"5.000-10.000": 0,
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"10.000+": 0,
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}
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for msg in messages:
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if msg.interest_value is None or msg.interest_value == 0.0:
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continue
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value = float(msg.interest_value)
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if value < 0.010:
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distribution["0.000-0.010"] += 1
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elif value < 0.050:
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distribution["0.010-0.050"] += 1
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elif value < 0.100:
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distribution["0.050-0.100"] += 1
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elif value < 0.500:
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distribution["0.100-0.500"] += 1
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elif value < 1.000:
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distribution["0.500-1.000"] += 1
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elif value < 2.000:
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distribution["1.000-2.000"] += 1
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elif value < 5.000:
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distribution["2.000-5.000"] += 1
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elif value < 10.000:
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distribution["5.000-10.000"] += 1
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else:
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distribution["10.000+"] += 1
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return distribution
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def get_interest_value_stats(messages) -> Dict[str, float]:
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"""Calculate basic statistics for interest_value"""
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values = [
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float(msg.interest_value) for msg in messages if msg.interest_value is not None and msg.interest_value != 0.0
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]
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if not values:
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return {"count": 0, "min": 0, "max": 0, "avg": 0, "median": 0}
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values.sort()
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count = len(values)
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return {
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"count": count,
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"min": min(values),
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"max": max(values),
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"avg": sum(values) / count,
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"median": values[count // 2] if count % 2 == 1 else (values[count // 2 - 1] + values[count // 2]) / 2,
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}
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def get_available_chats() -> List[Tuple[str, str, int]]:
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"""Get all available chats with message counts"""
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try:
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# 获取所有有消息的chat_id
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chat_counts = {}
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for msg in Messages.select(Messages.chat_id).distinct():
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chat_id = msg.chat_id
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count = (
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Messages.select()
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.where(
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(Messages.chat_id == chat_id)
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& (Messages.interest_value.is_null(False))
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& (Messages.interest_value != 0.0)
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)
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.count()
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)
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if count > 0:
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chat_counts[chat_id] = count
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# 获取聊天名称
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result = []
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for chat_id, count in chat_counts.items():
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chat_name = get_chat_name(chat_id)
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result.append((chat_id, chat_name, count))
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# 按消息数量排序
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result.sort(key=lambda x: x[2], reverse=True)
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return result
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except Exception as e:
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print(f"获取聊天列表失败: {e}")
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return []
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def get_time_range_input() -> Tuple[Optional[float], Optional[float]]:
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"""Get time range input from user"""
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print("\n时间范围选择:")
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print("1. 最近1天")
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print("2. 最近3天")
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print("3. 最近7天")
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print("4. 最近30天")
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print("5. 自定义时间范围")
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print("6. 不限制时间")
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choice = input("请选择时间范围 (1-6): ").strip()
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now = time.time()
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if choice == "1":
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return now - 24 * 3600, now
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elif choice == "2":
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return now - 3 * 24 * 3600, now
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elif choice == "3":
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return now - 7 * 24 * 3600, now
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elif choice == "4":
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return now - 30 * 24 * 3600, now
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elif choice == "5":
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print("请输入开始时间 (格式: YYYY-MM-DD HH:MM:SS):")
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start_str = input().strip()
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print("请输入结束时间 (格式: YYYY-MM-DD HH:MM:SS):")
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end_str = input().strip()
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try:
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start_time = datetime.strptime(start_str, "%Y-%m-%d %H:%M:%S").timestamp()
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end_time = datetime.strptime(end_str, "%Y-%m-%d %H:%M:%S").timestamp()
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return start_time, end_time
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except ValueError:
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print("时间格式错误，将不限制时间范围")
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return None, None
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else:
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return None, None
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def analyze_interest_values(
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chat_id: Optional[str] = None, start_time: Optional[float] = None, end_time: Optional[float] = None
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) -> None:
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"""Analyze interest values with optional filters"""
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# 构建查询条件
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query = Messages.select().where((Messages.interest_value.is_null(False)) & (Messages.interest_value != 0.0))
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if chat_id:
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query = query.where(Messages.chat_id == chat_id)
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if start_time:
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query = query.where(Messages.time >= start_time)
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if end_time:
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query = query.where(Messages.time <= end_time)
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messages = list(query)
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if not messages:
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print("没有找到符合条件的消息")
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return
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# 计算统计信息
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distribution = calculate_interest_value_distribution(messages)
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stats = get_interest_value_stats(messages)
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# 显示结果
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print("\n=== Interest Value 分析结果 ===")
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if chat_id:
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print(f"聊天: {get_chat_name(chat_id)}")
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else:
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print("聊天: 全部聊天")
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if start_time and end_time:
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print(f"时间范围: {format_timestamp(start_time)} 到 {format_timestamp(end_time)}")
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elif start_time:
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print(f"时间范围: {format_timestamp(start_time)} 之后")
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elif end_time:
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print(f"时间范围: {format_timestamp(end_time)} 之前")
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else:
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print("时间范围: 不限制")
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print("\n基本统计:")
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print(f"有效消息数量: {stats['count']} (排除null和0值)")
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print(f"最小值: {stats['min']:.3f}")
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print(f"最大值: {stats['max']:.3f}")
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print(f"平均值: {stats['avg']:.3f}")
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print(f"中位数: {stats['median']:.3f}")
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print("\nInterest Value 分布:")
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total = stats["count"]
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for range_name, count in distribution.items():
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if count > 0:
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percentage = count / total * 100
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print(f"{range_name}: {count} ({percentage:.2f}%)")
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def interactive_menu() -> None:
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"""Interactive menu for interest value analysis"""
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while True:
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print("\n" + "=" * 50)
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print("Interest Value 分析工具")
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print("=" * 50)
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print("1. 分析全部聊天")
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print("2. 选择特定聊天分析")
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print("q. 退出")
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choice = input("\n请选择分析模式 (1-2, q): ").strip()
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if choice.lower() == "q":
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print("再见！")
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break
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chat_id = None
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if choice == "2":
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# 显示可用的聊天列表
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chats = get_available_chats()
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if not chats:
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print("没有找到有interest_value数据的聊天")
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continue
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print(f"\n可用的聊天 (共{len(chats)}个):")
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for i, (_cid, name, count) in enumerate(chats, 1):
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print(f"{i}. {name} ({count}条有效消息)")
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try:
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chat_choice = int(input(f"\n请选择聊天 (1-{len(chats)}): ").strip())
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if 1 <= chat_choice <= len(chats):
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chat_id = chats[chat_choice - 1][0]
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else:
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print("无效选择")
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continue
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except ValueError:
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print("请输入有效数字")
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continue
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elif choice != "1":
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print("无效选择")
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continue
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# 获取时间范围
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start_time, end_time = get_time_range_input()
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# 执行分析
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analyze_interest_values(chat_id, start_time, end_time)
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input("\n按回车键继续...")
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if __name__ == "__main__":
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interactive_menu()
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@ -1,397 +0,0 @@
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import time
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import sys
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import os
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import re
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from typing import Dict, List, Tuple, Optional
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from datetime import datetime
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# Add project root to Python path
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project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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sys.path.insert(0, project_root)
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from src.common.database.database_model import Messages, ChatStreams # noqa
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def contains_emoji_or_image_tags(text: str) -> bool:
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"""Check if text contains [表情包xxxxx] or [图片xxxxx] tags"""
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if not text:
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return False
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# 检查是否包含 [表情包] 或 [图片] 标记
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emoji_pattern = r"\[表情包[^\]]*\]"
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image_pattern = r"\[图片[^\]]*\]"
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return bool(re.search(emoji_pattern, text) or re.search(image_pattern, text))
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def clean_reply_text(text: str) -> str:
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"""Remove reply references like [回复 xxxx...] from text"""
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if not text:
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return text
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# 匹配 [回复 xxxx...] 格式的内容
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# 使用非贪婪匹配，匹配到第一个 ] 就停止
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cleaned_text = re.sub(r"\[回复[^\]]*\]", "", text)
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# 去除多余的空白字符
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cleaned_text = cleaned_text.strip()
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return cleaned_text
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def get_chat_name(chat_id: str) -> str:
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"""Get chat name from chat_id by querying ChatStreams table directly"""
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try:
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chat_stream = ChatStreams.get_or_none(ChatStreams.stream_id == chat_id)
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if chat_stream is None:
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return f"未知聊天 ({chat_id})"
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if chat_stream.group_name:
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return f"{chat_stream.group_name} ({chat_id})"
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elif chat_stream.user_nickname:
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return f"{chat_stream.user_nickname}的私聊 ({chat_id})"
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else:
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return f"未知聊天 ({chat_id})"
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except Exception:
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return f"查询失败 ({chat_id})"
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def format_timestamp(timestamp: float) -> str:
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"""Format timestamp to readable date string"""
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try:
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return datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %H:%M:%S")
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except (ValueError, OSError):
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return "未知时间"
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def calculate_text_length_distribution(messages) -> Dict[str, int]:
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"""Calculate distribution of processed_plain_text length"""
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distribution = {
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"0": 0, # 空文本
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"1-5": 0, # 极短文本
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"6-10": 0, # 很短文本
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"11-20": 0, # 短文本
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"21-30": 0, # 较短文本
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"31-50": 0, # 中短文本
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"51-70": 0, # 中等文本
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"71-100": 0, # 较长文本
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"101-150": 0, # 长文本
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"151-200": 0, # 很长文本
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"201-300": 0, # 超长文本
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"301-500": 0, # 极长文本
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"501-1000": 0, # 巨长文本
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"1000+": 0, # 超巨长文本
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}
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for msg in messages:
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if msg.processed_plain_text is None:
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continue
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# 排除包含表情包或图片标记的消息
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if contains_emoji_or_image_tags(msg.processed_plain_text):
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continue
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# 清理文本中的回复引用
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cleaned_text = clean_reply_text(msg.processed_plain_text)
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length = len(cleaned_text)
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if length == 0:
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distribution["0"] += 1
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elif length <= 5:
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distribution["1-5"] += 1
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elif length <= 10:
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distribution["6-10"] += 1
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elif length <= 20:
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distribution["11-20"] += 1
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elif length <= 30:
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distribution["21-30"] += 1
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elif length <= 50:
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distribution["31-50"] += 1
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elif length <= 70:
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distribution["51-70"] += 1
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elif length <= 100:
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distribution["71-100"] += 1
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elif length <= 150:
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distribution["101-150"] += 1
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elif length <= 200:
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distribution["151-200"] += 1
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elif length <= 300:
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distribution["201-300"] += 1
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elif length <= 500:
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distribution["301-500"] += 1
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elif length <= 1000:
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distribution["501-1000"] += 1
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else:
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distribution["1000+"] += 1
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return distribution
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def get_text_length_stats(messages) -> Dict[str, float]:
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"""Calculate basic statistics for processed_plain_text length"""
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lengths = []
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null_count = 0
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excluded_count = 0 # 被排除的消息数量
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for msg in messages:
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if msg.processed_plain_text is None:
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null_count += 1
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elif contains_emoji_or_image_tags(msg.processed_plain_text):
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# 排除包含表情包或图片标记的消息
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excluded_count += 1
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else:
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# 清理文本中的回复引用
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cleaned_text = clean_reply_text(msg.processed_plain_text)
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lengths.append(len(cleaned_text))
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if not lengths:
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return {
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"count": 0,
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"null_count": null_count,
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"excluded_count": excluded_count,
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"min": 0,
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"max": 0,
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"avg": 0,
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"median": 0,
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}
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lengths.sort()
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count = len(lengths)
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return {
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"count": count,
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"null_count": null_count,
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"excluded_count": excluded_count,
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"min": min(lengths),
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"max": max(lengths),
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"avg": sum(lengths) / count,
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"median": lengths[count // 2] if count % 2 == 1 else (lengths[count // 2 - 1] + lengths[count // 2]) / 2,
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}
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def get_available_chats() -> List[Tuple[str, str, int]]:
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"""Get all available chats with message counts"""
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try:
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# 获取所有有消息的chat_id，排除特殊类型消息
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chat_counts = {}
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for msg in Messages.select(Messages.chat_id).distinct():
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chat_id = msg.chat_id
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count = (
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Messages.select()
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.where(
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(Messages.chat_id == chat_id)
|
||||
& (Messages.is_emoji != 1)
|
||||
& (Messages.is_picid != 1)
|
||||
& (Messages.is_command != 1)
|
||||
)
|
||||
.count()
|
||||
)
|
||||
if count > 0:
|
||||
chat_counts[chat_id] = count
|
||||
|
||||
# 获取聊天名称
|
||||
result = []
|
||||
for chat_id, count in chat_counts.items():
|
||||
chat_name = get_chat_name(chat_id)
|
||||
result.append((chat_id, chat_name, count))
|
||||
|
||||
# 按消息数量排序
|
||||
result.sort(key=lambda x: x[2], reverse=True)
|
||||
return result
|
||||
except Exception as e:
|
||||
print(f"获取聊天列表失败: {e}")
|
||||
return []
|
||||
|
||||
|
||||
def get_time_range_input() -> Tuple[Optional[float], Optional[float]]:
|
||||
"""Get time range input from user"""
|
||||
print("\n时间范围选择:")
|
||||
print("1. 最近1天")
|
||||
print("2. 最近3天")
|
||||
print("3. 最近7天")
|
||||
print("4. 最近30天")
|
||||
print("5. 自定义时间范围")
|
||||
print("6. 不限制时间")
|
||||
|
||||
choice = input("请选择时间范围 (1-6): ").strip()
|
||||
|
||||
now = time.time()
|
||||
|
||||
if choice == "1":
|
||||
return now - 24 * 3600, now
|
||||
elif choice == "2":
|
||||
return now - 3 * 24 * 3600, now
|
||||
elif choice == "3":
|
||||
return now - 7 * 24 * 3600, now
|
||||
elif choice == "4":
|
||||
return now - 30 * 24 * 3600, now
|
||||
elif choice == "5":
|
||||
print("请输入开始时间 (格式: YYYY-MM-DD HH:MM:SS):")
|
||||
start_str = input().strip()
|
||||
print("请输入结束时间 (格式: YYYY-MM-DD HH:MM:SS):")
|
||||
end_str = input().strip()
|
||||
|
||||
try:
|
||||
start_time = datetime.strptime(start_str, "%Y-%m-%d %H:%M:%S").timestamp()
|
||||
end_time = datetime.strptime(end_str, "%Y-%m-%d %H:%M:%S").timestamp()
|
||||
return start_time, end_time
|
||||
except ValueError:
|
||||
print("时间格式错误，将不限制时间范围")
|
||||
return None, None
|
||||
else:
|
||||
return None, None
|
||||
|
||||
|
||||
def get_top_longest_messages(messages, top_n: int = 10) -> List[Tuple[str, int, str, str]]:
|
||||
"""Get top N longest messages"""
|
||||
message_lengths = []
|
||||
|
||||
for msg in messages:
|
||||
if msg.processed_plain_text is not None:
|
||||
# 排除包含表情包或图片标记的消息
|
||||
if contains_emoji_or_image_tags(msg.processed_plain_text):
|
||||
continue
|
||||
|
||||
# 清理文本中的回复引用
|
||||
cleaned_text = clean_reply_text(msg.processed_plain_text)
|
||||
length = len(cleaned_text)
|
||||
chat_name = get_chat_name(msg.chat_id)
|
||||
time_str = format_timestamp(msg.time)
|
||||
# 截取前100个字符作为预览
|
||||
preview = cleaned_text[:100] + "..." if len(cleaned_text) > 100 else cleaned_text
|
||||
message_lengths.append((chat_name, length, time_str, preview))
|
||||
|
||||
# 按长度排序，取前N个
|
||||
message_lengths.sort(key=lambda x: x[1], reverse=True)
|
||||
return message_lengths[:top_n]
|
||||
|
||||
|
||||
def analyze_text_lengths(
|
||||
chat_id: Optional[str] = None, start_time: Optional[float] = None, end_time: Optional[float] = None
|
||||
) -> None:
|
||||
"""Analyze processed_plain_text lengths with optional filters"""
|
||||
|
||||
# 构建查询条件，排除特殊类型的消息
|
||||
query = Messages.select().where((Messages.is_emoji != 1) & (Messages.is_picid != 1) & (Messages.is_command != 1))
|
||||
|
||||
if chat_id:
|
||||
query = query.where(Messages.chat_id == chat_id)
|
||||
|
||||
if start_time:
|
||||
query = query.where(Messages.time >= start_time)
|
||||
|
||||
if end_time:
|
||||
query = query.where(Messages.time <= end_time)
|
||||
|
||||
messages = list(query)
|
||||
|
||||
if not messages:
|
||||
print("没有找到符合条件的消息")
|
||||
return
|
||||
|
||||
# 计算统计信息
|
||||
distribution = calculate_text_length_distribution(messages)
|
||||
stats = get_text_length_stats(messages)
|
||||
top_longest = get_top_longest_messages(messages, 10)
|
||||
|
||||
# 显示结果
|
||||
print("\n=== Processed Plain Text 长度分析结果 ===")
|
||||
print("(已排除表情、图片ID、命令类型消息，已排除[表情包]和[图片]标记消息，已清理回复引用)")
|
||||
if chat_id:
|
||||
print(f"聊天: {get_chat_name(chat_id)}")
|
||||
else:
|
||||
print("聊天: 全部聊天")
|
||||
|
||||
if start_time and end_time:
|
||||
print(f"时间范围: {format_timestamp(start_time)} 到 {format_timestamp(end_time)}")
|
||||
elif start_time:
|
||||
print(f"时间范围: {format_timestamp(start_time)} 之后")
|
||||
elif end_time:
|
||||
print(f"时间范围: {format_timestamp(end_time)} 之前")
|
||||
else:
|
||||
print("时间范围: 不限制")
|
||||
|
||||
print("\n基本统计:")
|
||||
print(f"总消息数量: {len(messages)}")
|
||||
print(f"有文本消息数量: {stats['count']}")
|
||||
print(f"空文本消息数量: {stats['null_count']}")
|
||||
print(f"被排除的消息数量: {stats['excluded_count']}")
|
||||
if stats["count"] > 0:
|
||||
print(f"最短长度: {stats['min']} 字符")
|
||||
print(f"最长长度: {stats['max']} 字符")
|
||||
print(f"平均长度: {stats['avg']:.2f} 字符")
|
||||
print(f"中位数长度: {stats['median']:.2f} 字符")
|
||||
|
||||
print("\n文本长度分布:")
|
||||
total = stats["count"]
|
||||
if total > 0:
|
||||
for range_name, count in distribution.items():
|
||||
if count > 0:
|
||||
percentage = count / total * 100
|
||||
print(f"{range_name} 字符: {count} ({percentage:.2f}%)")
|
||||
|
||||
# 显示最长的消息
|
||||
if top_longest:
|
||||
print(f"\n最长的 {len(top_longest)} 条消息:")
|
||||
for i, (chat_name, length, time_str, preview) in enumerate(top_longest, 1):
|
||||
print(f"{i}. [{chat_name}] {time_str}")
|
||||
print(f" 长度: {length} 字符")
|
||||
print(f" 预览: {preview}")
|
||||
print()
|
||||
|
||||
|
||||
def interactive_menu() -> None:
|
||||
"""Interactive menu for text length analysis"""
|
||||
|
||||
while True:
|
||||
print("\n" + "=" * 50)
|
||||
print("Processed Plain Text 长度分析工具")
|
||||
print("=" * 50)
|
||||
print("1. 分析全部聊天")
|
||||
print("2. 选择特定聊天分析")
|
||||
print("q. 退出")
|
||||
|
||||
choice = input("\n请选择分析模式 (1-2, q): ").strip()
|
||||
|
||||
if choice.lower() == "q":
|
||||
print("再见！")
|
||||
break
|
||||
|
||||
chat_id = None
|
||||
|
||||
if choice == "2":
|
||||
# 显示可用的聊天列表
|
||||
chats = get_available_chats()
|
||||
if not chats:
|
||||
print("没有找到聊天数据")
|
||||
continue
|
||||
|
||||
print(f"\n可用的聊天 (共{len(chats)}个):")
|
||||
for i, (_cid, name, count) in enumerate(chats, 1):
|
||||
print(f"{i}. {name} ({count}条消息)")
|
||||
|
||||
try:
|
||||
chat_choice = int(input(f"\n请选择聊天 (1-{len(chats)}): ").strip())
|
||||
if 1 <= chat_choice <= len(chats):
|
||||
chat_id = chats[chat_choice - 1][0]
|
||||
else:
|
||||
print("无效选择")
|
||||
continue
|
||||
except ValueError:
|
||||
print("请输入有效数字")
|
||||
continue
|
||||
|
||||
elif choice != "1":
|
||||
print("无效选择")
|
||||
continue
|
||||
|
||||
# 获取时间范围
|
||||
start_time, end_time = get_time_range_input()
|
||||
|
||||
# 执行分析
|
||||
analyze_text_lengths(chat_id, start_time, end_time)
|
||||
|
||||
input("\n按回车键继续...")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
interactive_menu()
|
||||
|
|
@ -492,7 +492,7 @@ class BrainPlanner:
|
|||
action.action_data = action.action_data or {}
|
||||
action.action_data["loop_start_time"] = loop_start_time
|
||||
|
||||
logger.info(
|
||||
logger.debug(
|
||||
f"{self.log_prefix}规划器决定执行{len(actions)}个动作: {' '.join([a.action_type for a in actions])}"
|
||||
)
|
||||
|
||||
|
|
|
|||
|
|
@ -154,13 +154,16 @@ class HeartFChatting:
|
|||
# 记录循环信息和计时器结果
|
||||
timer_strings = []
|
||||
for name, elapsed in cycle_timers.items():
|
||||
formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒"
|
||||
if elapsed < 0.1:
|
||||
# 不显示小于0.1秒的计时器
|
||||
continue
|
||||
formatted_time = f"{elapsed:.2f}秒"
|
||||
timer_strings.append(f"{name}: {formatted_time}")
|
||||
|
||||
logger.info(
|
||||
f"{self.log_prefix} 第{self._current_cycle_detail.cycle_id}次思考,"
|
||||
f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒" # type: ignore
|
||||
+ (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "")
|
||||
f"耗时: {self._current_cycle_detail.end_time - self._current_cycle_detail.start_time:.1f}秒;" # type: ignore
|
||||
+ (f"详情: {'; '.join(timer_strings)}" if timer_strings else "")
|
||||
)
|
||||
|
||||
async def _loopbody(self): # sourcery skip: hoist-if-from-if
|
||||
|
|
@ -346,8 +349,8 @@ class HeartFChatting:
|
|||
)
|
||||
|
||||
logger.info(
|
||||
f"{self.log_prefix}决定执行{len(action_to_use_info)}个动作: {' '.join([a.action_type for a in action_to_use_info])}"
|
||||
)
|
||||
f"{self.log_prefix} 决定执行{len(action_to_use_info)}个动作: {' '.join([a.action_type for a in action_to_use_info])}"
|
||||
)
|
||||
|
||||
# 3. 并行执行所有动作
|
||||
action_tasks = [
|
||||
|
|
|
|||
|
|
@ -215,29 +215,30 @@ class DefaultReplyer:
|
|||
traceback.print_exc()
|
||||
return False, llm_response
|
||||
|
||||
async def build_relation_info(self, chat_content: str, sender: str, person_list: List[Person]):
|
||||
if not global_config.relationship.enable_relationship:
|
||||
return ""
|
||||
#移动到 relation插件中构建
|
||||
# async def build_relation_info(self, chat_content: str, sender: str, person_list: List[Person]):
|
||||
# if not global_config.relationship.enable_relationship:
|
||||
# return ""
|
||||
|
||||
if not sender:
|
||||
return ""
|
||||
# if not sender:
|
||||
# return ""
|
||||
|
||||
if sender == global_config.bot.nickname:
|
||||
return ""
|
||||
# if sender == global_config.bot.nickname:
|
||||
# return ""
|
||||
|
||||
# 获取用户ID
|
||||
person = Person(person_name=sender)
|
||||
if not is_person_known(person_name=sender):
|
||||
logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
|
||||
return f"你完全不认识{sender}，不理解ta的相关信息。"
|
||||
# # 获取用户ID
|
||||
# person = Person(person_name=sender)
|
||||
# if not is_person_known(person_name=sender):
|
||||
# logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
|
||||
# return f"你完全不认识{sender}，不理解ta的相关信息。"
|
||||
|
||||
sender_relation = await person.build_relationship(chat_content)
|
||||
others_relation = ""
|
||||
for person in person_list:
|
||||
person_relation = await person.build_relationship()
|
||||
others_relation += person_relation
|
||||
# sender_relation = await person.build_relationship(chat_content)
|
||||
# others_relation = ""
|
||||
# for person in person_list:
|
||||
# person_relation = await person.build_relationship()
|
||||
# others_relation += person_relation
|
||||
|
||||
return f"{sender_relation}\n{others_relation}"
|
||||
# return f"{sender_relation}\n{others_relation}"
|
||||
|
||||
async def build_expression_habits(self, chat_history: str, target: str) -> Tuple[str, List[int]]:
|
||||
# sourcery skip: for-append-to-extend
|
||||
|
|
@ -680,8 +681,8 @@ class DefaultReplyer:
|
|||
if person.is_known:
|
||||
person_list_short.append(person)
|
||||
|
||||
for person in person_list_short:
|
||||
print(person.person_name)
|
||||
# for person in person_list_short:
|
||||
# print(person.person_name)
|
||||
|
||||
chat_talking_prompt_short = build_readable_messages(
|
||||
message_list_before_short,
|
||||
|
|
@ -956,7 +957,7 @@ class DefaultReplyer:
|
|||
prompt
|
||||
)
|
||||
|
||||
logger.debug(f"replyer生成内容: {content}")
|
||||
logger.info(f"使用{model_name}生成回复内容: {content}")
|
||||
return content, reasoning_content, model_name, tool_calls
|
||||
|
||||
async def get_prompt_info(self, message: str, sender: str, target: str):
|
||||
|
|
|
|||
|
|
@ -563,8 +563,8 @@ class PrivateReplyer:
|
|||
if person.is_known:
|
||||
person_list_short.append(person)
|
||||
|
||||
for person in person_list_short:
|
||||
print(person.person_name)
|
||||
# for person in person_list_short:
|
||||
# print(person.person_name)
|
||||
|
||||
chat_talking_prompt_short = build_readable_messages(
|
||||
message_list_before_short,
|
||||
|
|
@ -829,7 +829,7 @@ class PrivateReplyer:
|
|||
prompt
|
||||
)
|
||||
|
||||
logger.debug(f"replyer生成内容: {content}")
|
||||
logger.info(f"使用 {model_name} 生成回复内容: {content}")
|
||||
return content, reasoning_content, model_name, tool_calls
|
||||
|
||||
async def get_prompt_info(self, message: str, sender: str, target: str):
|
||||
|
|
|
|||
|
|
@ -363,8 +363,8 @@ MODULE_COLORS = {
|
|||
"planner": "\033[36m",
|
||||
"relation": "\033[38;5;139m", # 柔和的紫色，不刺眼
|
||||
# 聊天相关模块
|
||||
"normal_chat": "\033[38;5;81m", # 亮蓝绿色
|
||||
"heartflow": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
|
||||
"hfc": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
|
||||
"bc": "\033[38;5;175m", # 柔和的粉色，不显眼但保持粉色系
|
||||
"sub_heartflow": "\033[38;5;207m", # 粉紫色
|
||||
"subheartflow_manager": "\033[38;5;201m", # 深粉色
|
||||
"background_tasks": "\033[38;5;240m", # 灰色
|
||||
|
|
@ -372,8 +372,6 @@ MODULE_COLORS = {
|
|||
"chat_stream": "\033[38;5;51m", # 亮青色
|
||||
"message_storage": "\033[38;5;33m", # 深蓝色
|
||||
"expressor": "\033[38;5;166m", # 橙色
|
||||
# 专注聊天模块
|
||||
"memory_activator": "\033[38;5;117m", # 天蓝色
|
||||
# 插件系统
|
||||
"plugins": "\033[31m", # 红色
|
||||
"plugin_api": "\033[33m", # 黄色
|
||||
|
|
|
|||
|
|
@ -148,6 +148,8 @@ class LLMRequest:
|
|||
)
|
||||
|
||||
logger.debug(f"LLM请求总耗时: {time.time() - start_time}")
|
||||
logger.debug(f"LLM生成内容: {response}")
|
||||
|
||||
content = response.content
|
||||
reasoning_content = response.reasoning_content or ""
|
||||
tool_calls = response.tool_calls
|
||||
|
|
|
|||
|
|
@ -466,8 +466,8 @@ class Person:
|
|||
<分类1><分类2><分类3>......
|
||||
如果没有相关的分类，请输出<none>"""
|
||||
response, _ = await relation_selection_model.generate_response_async(prompt)
|
||||
print(prompt)
|
||||
print(response)
|
||||
# print(prompt)
|
||||
# print(response)
|
||||
category_list = extract_categories_from_response(response)
|
||||
if "none" not in category_list:
|
||||
for category in category_list:
|
||||
|
|
|
|||
|
|
@ -66,8 +66,8 @@ async def generate_with_model(
|
|||
Tuple[bool, str, str, str]: (是否成功, 生成的内容, 推理过程, 模型名称)
|
||||
"""
|
||||
try:
|
||||
model_name_list = model_config.model_list
|
||||
logger.info(f"[LLMAPI] 使用模型集合 {model_name_list} 生成内容")
|
||||
# model_name_list = model_config.model_list
|
||||
# logger.info(f"[LLMAPI] 使用模型集合 {model_name_list} 生成内容")
|
||||
logger.debug(f"[LLMAPI] 完整提示词: {prompt}")
|
||||
|
||||
llm_request = LLMRequest(model_set=model_config, request_type=request_type)
|
||||
|
|
|
|||
|
|
@ -100,7 +100,7 @@ async def _send_to_target(
|
|||
anchor_message: Union["MessageRecv", None] = None
|
||||
if reply_message:
|
||||
anchor_message = db_message_to_message_recv(reply_message)
|
||||
logger.info(f"[SendAPI] 找到匹配的回复消息，发送者: {anchor_message.message_info.user_info.user_id}") # type: ignore
|
||||
logger.debug(f"[SendAPI] 找到匹配的回复消息，发送者: {anchor_message.message_info.user_info.user_id}") # type: ignore
|
||||
if anchor_message:
|
||||
anchor_message.update_chat_stream(target_stream)
|
||||
assert anchor_message.message_info.user_info, "用户信息缺失"
|
||||
|
|
|
|||
|
|
@ -180,7 +180,6 @@ class ToolExecutor:
|
|||
|
||||
tool_results.append(tool_info)
|
||||
used_tools.append(tool_name)
|
||||
logger.info(f"{self.log_prefix}工具{tool_name}执行成功，类型: {tool_info['type']}")
|
||||
preview = content[:200]
|
||||
logger.debug(f"{self.log_prefix}工具{tool_name}结果内容: {preview}...")
|
||||
except Exception as e:
|
||||
|
|
|
|||
Loading…
Reference in New Issue