初步开始重写聊天系统

This commit is contained in:
Windpicker-owo
2025-09-15 13:11:37 +08:00
committed by Windpicker-owo
parent 724b2280eb
commit bd1ebbcc53
7 changed files with 1276 additions and 63 deletions

View File

@@ -1,6 +1,8 @@
"""
主规划器入口,负责协调 PlanGenerator, PlanFilter, 和 PlanExecutor。
集成兴趣度评分系统和用户关系追踪机制,实现智能化的聊天决策。
"""
import time
from dataclasses import asdict
from typing import Dict, List, Optional, Tuple
@@ -8,7 +10,11 @@ from src.chat.planner_actions.action_manager import ActionManager
from src.chat.planner_actions.plan_executor import PlanExecutor
from src.chat.planner_actions.plan_filter import PlanFilter
from src.chat.planner_actions.plan_generator import PlanGenerator
from src.chat.affinity_flow.interest_scoring import InterestScoringSystem
from src.chat.affinity_flow.relationship_tracker import UserRelationshipTracker
from src.common.data_models.info_data_model import Plan
from src.common.logger import get_logger
from src.config.config import global_config
from src.plugin_system.base.component_types import ChatMode
import src.chat.planner_actions.planner_prompts #noga # noqa: F401
# 导入提示词模块以确保其被初始化
@@ -16,26 +22,22 @@ import src.chat.planner_actions.planner_prompts #noga # noqa: F401
logger = get_logger("planner")
class ActionPlanner:
"""
ActionPlanner 是规划系统的核心协调器
增强版ActionPlanner,集成兴趣度评分和用户关系追踪机制
它负责整合规划流程的三个主要阶段
1. **生成 (Generate)**: 使用 PlanGenerator 创建一个初始的行动计划。
2. **筛选 (Filter)**: 使用 PlanFilter 对生成的计划进行审查和优化。
3. **执行 (Execute)**: 使用 PlanExecutor 执行最终确定的行动。
Attributes:
chat_id (str): 当前聊天的唯一标识符。
action_manager (ActionManager): 用于执行具体动作的管理器。
generator (PlanGenerator): 负责生成初始计划。
filter (PlanFilter): 负责筛选和优化计划。
executor (PlanExecutor): 负责执行最终计划。
核心功能
1. 兴趣度评分系统:根据兴趣匹配度、关系分、提及度、时间因子对消息评分
2. 用户关系追踪:自动追踪用户交互并更新关系分
3. 智能回复决策:基于兴趣度阈值和连续不回复概率的智能决策
4. 完整的规划流程:生成→筛选→执行的完整三阶段流程
"""
def __init__(self, chat_id: str, action_manager: ActionManager):
"""
初始化 ActionPlanner。
初始化增强版ActionPlanner。
Args:
chat_id (str): 当前聊天的 ID。
@@ -47,48 +49,197 @@ class ActionPlanner:
self.filter = PlanFilter()
self.executor = PlanExecutor(action_manager)
async def plan(
self, mode: ChatMode = ChatMode.FOCUS
) -> Tuple[List[Dict], Optional[Dict]]:
"""
执行从生成到执行的完整规划流程。
# 初始化兴趣度评分系统
self.interest_scoring = InterestScoringSystem()
这个方法按顺序协调生成、筛选和执行三个阶段。
# 初始化用户关系追踪器
self.relationship_tracker = UserRelationshipTracker(self.interest_scoring)
# 设置执行器的关系追踪器
self.executor.set_relationship_tracker(self.relationship_tracker)
# 规划器统计
self.planner_stats = {
"total_plans": 0,
"successful_plans": 0,
"failed_plans": 0,
"replies_generated": 0,
"other_actions_executed": 0,
}
async def plan(self, mode: ChatMode = ChatMode.FOCUS, use_enhanced: bool = True) -> Tuple[List[Dict], Optional[Dict]]:
"""
执行完整的增强版规划流程。
Args:
mode (ChatMode): 当前的聊天模式,默认为 FOCUS。
use_enhanced (bool): 是否使用增强功能,默认为 True。
Returns:
Tuple[List[Dict], Optional[Dict]]: 一个元组,包含:
- final_actions_dict (List[Dict]): 最终确定的动作列表(字典格式)。
- final_target_message_dict (Optional[Dict]): 最终的目标消息(字典格式),如果没有则为 None
这与旧版 planner 的返回值保持兼容。
- final_target_message_dict (Optional[Dict]): 最终的目标消息(字典格式)。
"""
# 1. 生成初始 Plan
initial_plan = await self.generator.generate(mode)
try:
self.planner_stats["total_plans"] += 1
# 2. 筛选 Plan
filtered_plan = await self.filter.filter(initial_plan)
if use_enhanced:
return await self._enhanced_plan_flow(mode)
else:
return await self._standard_plan_flow(mode)
# 3. 执行 Plan(临时引爆因为它暂时还跑不了)
#await self.executor.execute(filtered_plan)
except Exception as e:
logger.error(f"规划流程出错: {e}")
self.planner_stats["failed_plans"] += 1
return [], None
# 4. 返回结果 (与旧版 planner 的返回值保持兼容)
final_actions = filtered_plan.decided_actions or []
async def _enhanced_plan_flow(self, mode: ChatMode) -> Tuple[List[Dict], Optional[Dict]]:
"""执行增强版规划流程"""
try:
# 1. 生成初始 Plan
initial_plan = await self.generator.generate(mode)
# 2. 兴趣度评分
if initial_plan.chat_history:
bot_nickname = global_config.bot.nickname
interest_scores = self.interest_scoring.calculate_interest_scores(
initial_plan.chat_history, bot_nickname
)
# 3. 根据兴趣度调整可用动作
if interest_scores:
latest_score = max(interest_scores, key=lambda s: s.total_score)
should_reply = self.interest_scoring.should_reply(latest_score)
if not should_reply and "reply" in initial_plan.available_actions:
logger.info(f"消息兴趣度不足({latest_score.total_score:.2f})移除reply动作")
del initial_plan.available_actions["reply"]
self.interest_scoring.record_reply_action(False)
else:
self.interest_scoring.record_reply_action(True)
# 4. 筛选 Plan
filtered_plan = await self.filter.filter(initial_plan)
# 5. 执行 Plan
await self._execute_plan_with_tracking(filtered_plan)
# 6. 检查关系更新
await self.relationship_tracker.check_and_update_relationships()
# 7. 返回结果
return self._build_return_result(filtered_plan)
except Exception as e:
logger.error(f"增强版规划流程出错: {e}")
self.planner_stats["failed_plans"] += 1
return [], None
async def _standard_plan_flow(self, mode: ChatMode) -> Tuple[List[Dict], Optional[Dict]]:
"""执行标准规划流程"""
try:
# 1. 生成初始 Plan
initial_plan = await self.generator.generate(mode)
# 2. 筛选 Plan
filtered_plan = await self.filter.filter(initial_plan)
# 3. 执行 Plan
await self._execute_plan_with_tracking(filtered_plan)
# 4. 返回结果
return self._build_return_result(filtered_plan)
except Exception as e:
logger.error(f"标准规划流程出错: {e}")
self.planner_stats["failed_plans"] += 1
return [], None
async def _execute_plan_with_tracking(self, plan: Plan):
"""执行Plan并追踪用户关系"""
if not plan.decided_actions:
return
for action_info in plan.decided_actions:
if action_info.action_type in ["reply", "proactive_reply"] and action_info.action_message:
# 记录用户交互
self.relationship_tracker.add_interaction(
user_id=action_info.action_message.user_id,
user_name=action_info.action_message.user_nickname or action_info.action_message.user_id,
user_message=action_info.action_message.content,
bot_reply="Bot回复内容", # 这里需要实际的回复内容
reply_timestamp=time.time()
)
# 执行动作
try:
await self.action_manager.execute_action(
action_name=action_info.action_type,
chat_id=self.chat_id,
target_message=action_info.action_message,
reasoning=action_info.reasoning,
action_data=action_info.action_data or {},
)
self.planner_stats["successful_plans"] += 1
if action_info.action_type in ["reply", "proactive_reply"]:
self.planner_stats["replies_generated"] += 1
else:
self.planner_stats["other_actions_executed"] += 1
except Exception as e:
logger.error(f"执行动作失败: {action_info.action_type}, 错误: {e}")
def _build_return_result(self, plan: Plan) -> Tuple[List[Dict], Optional[Dict]]:
"""构建返回结果"""
final_actions = plan.decided_actions or []
final_target_message = next(
(act.action_message for act in final_actions if act.action_message), None
)
final_actions_dict = [asdict(act) for act in final_actions]
# action_message现在可能是字典而不是dataclass实例需要特殊处理
if final_target_message:
if hasattr(final_target_message, '__dataclass_fields__'):
# 如果是dataclass实例使用asdict转换
final_target_message_dict = asdict(final_target_message)
else:
# 如果已经是字典,直接使用
final_target_message_dict = final_target_message
else:
final_target_message_dict = None
return final_actions_dict, final_target_message_dict
def get_user_relationship(self, user_id: str) -> float:
"""获取用户关系分"""
return self.interest_scoring.get_user_relationship(user_id)
def update_interest_keywords(self, new_keywords: Dict[str, List[str]]):
"""更新兴趣关键词"""
self.interest_scoring.interest_keywords.update(new_keywords)
logger.info(f"已更新兴趣关键词: {list(new_keywords.keys())}")
def get_planner_stats(self) -> Dict[str, any]:
"""获取规划器统计"""
return self.planner_stats.copy()
def get_interest_scoring_stats(self) -> Dict[str, any]:
"""获取兴趣度评分统计"""
return {
"no_reply_count": self.interest_scoring.no_reply_count,
"max_no_reply_count": self.interest_scoring.max_no_reply_count,
"reply_threshold": self.interest_scoring.reply_threshold,
"mention_threshold": self.interest_scoring.mention_threshold,
"user_relationships": len(self.interest_scoring.user_relationships),
}
def get_relationship_stats(self) -> Dict[str, any]:
"""获取用户关系统计"""
return {
"tracking_users": len(self.relationship_tracker.tracking_users),
"relationship_history": len(self.relationship_tracker.relationship_history),
"max_tracking_users": self.relationship_tracker.max_tracking_users,
}
# 全局兴趣度评分系统实例
interest_scoring_system = InterestScoringSystem()