refactor(scoring): 重构评分系统使用统一API替代插件内部实现

将原有的兴趣度评分系统重构为使用统一的评分API,移除了插件内部实现并更新了所有相关引用。主要变更包括:
- 替换 chatter_interest_scoring_system 为 scoring_api
- 移除 interest_scoring.py 文件,统一使用 src/plugin_system/apis/scoring_api
- 更新关系追踪器以使用统一API,保持向后兼容性
- 简化了多个模块中的关系分获取逻辑
This commit is contained in:
Windpicker-owo
2025-10-07 14:41:49 +08:00
parent 1bd5580ff5
commit f002228abb
10 changed files with 519 additions and 404 deletions

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"""
统一评分系统API
提供系统级的关系分和兴趣管理服务,供所有插件和主项目组件使用
"""
from typing import Any
from src.common.logger import get_logger
from src.plugin_system.services.interest_service import interest_service
from src.plugin_system.services.relationship_service import relationship_service
logger = get_logger("scoring_api")
class ScoringAPI:
"""
统一评分系统API - 系统级服务
提供关系分和兴趣管理的统一接口,替代原有的插件依赖方式。
所有插件和主项目组件都应该通过此API访问评分功能。
"""
@staticmethod
async def get_user_relationship_score(user_id: str) -> float:
"""
获取用户关系分
Args:
user_id: 用户ID
Returns:
关系分 (0.0 - 1.0)
"""
return await relationship_service.get_user_relationship_score(user_id)
@staticmethod
async def get_user_relationship_data(user_id: str) -> dict:
"""
获取用户完整关系数据
Args:
user_id: 用户ID
Returns:
包含关系分、关系文本等的字典
"""
return await relationship_service.get_user_relationship_data(user_id)
@staticmethod
async def update_user_relationship(user_id: str, relationship_score: float, relationship_text: str = None, user_name: str = None):
"""
更新用户关系数据
Args:
user_id: 用户ID
relationship_score: 关系分 (0.0 - 1.0)
relationship_text: 关系描述文本
user_name: 用户名称
"""
await relationship_service.update_user_relationship(user_id, relationship_score, relationship_text, user_name)
@staticmethod
async def initialize_smart_interests(personality_description: str, personality_id: str = "default"):
"""
初始化智能兴趣系统
Args:
personality_description: 机器人性格描述
personality_id: 性格ID
"""
await interest_service.initialize_smart_interests(personality_description, personality_id)
@staticmethod
async def calculate_interest_match(content: str, keywords: list[str] = None):
"""
计算内容与兴趣的匹配度
Args:
content: 消息内容
keywords: 关键词列表
Returns:
匹配结果
"""
return await interest_service.calculate_interest_match(content, keywords)
@staticmethod
def get_system_stats() -> dict[str, Any]:
"""
获取系统统计信息
Returns:
包含各子系统统计的字典
"""
return {
"relationship_service": relationship_service.get_cache_stats(),
"interest_service": interest_service.get_interest_stats()
}
@staticmethod
def clear_caches(user_id: str = None):
"""
清理缓存
Args:
user_id: 特定用户ID如果为None则清理所有缓存
"""
relationship_service.clear_cache(user_id)
logger.info(f"清理缓存: {user_id if user_id else '全部'}")
# 创建全局API实例 - 系统级服务
scoring_api = ScoringAPI()

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"""
兴趣系统服务
提供独立的兴趣管理功能,不依赖任何插件
"""
from typing import Optional
from src.chat.interest_system import bot_interest_manager
from src.common.logger import get_logger
logger = get_logger("interest_service")
class InterestService:
"""兴趣系统服务 - 独立于插件的兴趣管理"""
def __init__(self):
self.is_initialized = bot_interest_manager.is_initialized
async def initialize_smart_interests(self, personality_description: str, personality_id: str = "default"):
"""
初始化智能兴趣系统
Args:
personality_description: 机器人性格描述
personality_id: 性格ID
"""
try:
logger.info("开始初始化智能兴趣系统...")
logger.info(f"人设ID: {personality_id}, 描述长度: {len(personality_description)}")
await bot_interest_manager.initialize(personality_description, personality_id)
self.is_initialized = True
logger.info("智能兴趣系统初始化完成。")
# 显示初始化后的统计信息
stats = bot_interest_manager.get_interest_stats()
logger.info(f"兴趣系统统计: {stats}")
except Exception as e:
logger.error(f"初始化智能兴趣系统失败: {e}")
self.is_initialized = False
async def calculate_interest_match(self, content: str, keywords: Optional[list[str]] = None):
"""
计算内容与兴趣的匹配度
Args:
content: 消息内容
keywords: 关键词列表
Returns:
匹配结果
"""
if not self.is_initialized:
logger.warning("兴趣系统未初始化,无法计算匹配度")
return None
try:
if not keywords:
# 如果没有关键词,尝试从内容提取
keywords = self._extract_keywords_from_content(content)
return await bot_interest_manager.calculate_interest_match(content, keywords)
except Exception as e:
logger.error(f"计算兴趣匹配度失败: {e}")
return None
def _extract_keywords_from_content(self, content: str) -> list[str]:
"""从内容中提取关键词"""
import re
# 清理文本
content = re.sub(r"[^\w\s\u4e00-\u9fff]", " ", content) # 保留中文、英文、数字
words = content.split()
# 过滤和关键词提取
keywords = []
for word in words:
word = word.strip()
if (
len(word) >= 2 # 至少2个字符
and word.isalnum() # 字母数字
and not word.isdigit()
): # 不是纯数字
keywords.append(word.lower())
# 去重并限制数量
unique_keywords = list(set(keywords))
return unique_keywords[:10] # 返回前10个唯一关键词
def get_interest_stats(self) -> dict:
"""获取兴趣系统统计信息"""
if not self.is_initialized:
return {"initialized": False}
try:
return {
"initialized": True,
**bot_interest_manager.get_interest_stats()
}
except Exception as e:
logger.error(f"获取兴趣系统统计失败: {e}")
return {"initialized": True, "error": str(e)}
# 创建全局实例
interest_service = InterestService()

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"""
用户关系分服务
提供独立的关系分获取和管理功能,不依赖任何插件
"""
import time
from typing import Optional
from src.common.database.sqlalchemy_models import UserRelationships, get_db_session
from src.common.logger import get_logger
from src.config.config import global_config
logger = get_logger("relationship_service")
class RelationshipService:
"""用户关系分服务 - 独立于插件的数据库直接访问层"""
def __init__(self):
self._cache: dict[str, dict] = {} # user_id -> {score, text, last_updated}
self._cache_ttl = 300 # 缓存5分钟
async def get_user_relationship_score(self, user_id: str) -> float:
"""
获取用户关系分
Args:
user_id: 用户ID
Returns:
关系分 (0.0 - 1.0)
"""
try:
# 先检查缓存
cached_data = self._get_from_cache(user_id)
if cached_data is not None:
return cached_data["score"]
# 从数据库获取
relationship_data = await self._fetch_from_database(user_id)
if relationship_data:
score = relationship_data.relationship_score
# 更新缓存
self._update_cache(user_id, score, relationship_data.relationship_text)
logger.debug(f"从数据库获取用户关系分: {user_id} -> {score:.3f}")
return max(0.0, min(1.0, score))
else:
# 用户不存在,返回默认分数并创建记录
default_score = global_config.affinity_flow.base_relationship_score
await self._create_default_relationship(user_id)
self._update_cache(user_id, default_score, "新用户")
logger.debug(f"创建默认关系分: {user_id} -> {default_score:.3f}")
return default_score
except Exception as e:
logger.error(f"获取用户关系分失败: {user_id}, 错误: {e}")
return global_config.affinity_flow.base_relationship_score
async def get_user_relationship_data(self, user_id: str) -> dict:
"""
获取用户完整关系数据
Args:
user_id: 用户ID
Returns:
包含关系分、关系文本等的字典
"""
try:
# 先检查缓存
cached_data = self._get_from_cache(user_id)
if cached_data is not None:
return {
"relationship_score": cached_data["score"],
"relationship_text": cached_data["text"],
"last_updated": cached_data["last_updated"]
}
# 从数据库获取
relationship_data = await self._fetch_from_database(user_id)
if relationship_data:
result = {
"relationship_score": relationship_data.relationship_score,
"relationship_text": relationship_data.relationship_text or "",
"last_updated": relationship_data.last_updated,
"user_name": relationship_data.user_name or ""
}
# 更新缓存
self._update_cache(user_id, result["relationship_score"], result["relationship_text"])
return result
else:
# 创建默认记录
default_score = global_config.affinity_flow.base_relationship_score
await self._create_default_relationship(user_id)
default_result = {
"relationship_score": default_score,
"relationship_text": "新用户",
"last_updated": time.time(),
"user_name": ""
}
self._update_cache(user_id, default_score, "新用户")
return default_result
except Exception as e:
logger.error(f"获取用户关系数据失败: {user_id}, 错误: {e}")
return {
"relationship_score": global_config.affinity_flow.base_relationship_score,
"relationship_text": "新用户",
"last_updated": time.time(),
"user_name": ""
}
async def update_user_relationship(self, user_id: str, relationship_score: float, relationship_text: Optional[str] = None, user_name: Optional[str] = None):
"""
更新用户关系数据
Args:
user_id: 用户ID
relationship_score: 关系分 (0.0 - 1.0)
relationship_text: 关系描述文本
user_name: 用户名称
"""
try:
# 限制分数范围
score = max(0.0, min(1.0, relationship_score))
async with get_db_session() as session:
# 查找现有记录
from sqlalchemy import select
stmt = select(UserRelationships).where(UserRelationships.user_id == user_id)
result = await session.execute(stmt)
existing = result.scalar_one_or_none()
if existing:
# 更新现有记录
existing.relationship_score = score
existing.last_updated = time.time()
if relationship_text is not None:
existing.relationship_text = relationship_text
if user_name is not None:
existing.user_name = user_name
logger.debug(f"更新用户关系: {user_id} -> {score:.3f}")
else:
# 创建新记录
new_relationship = UserRelationships(
user_id=user_id,
user_name=user_name or "",
relationship_text=relationship_text or "新用户",
relationship_score=score,
last_updated=time.time()
)
session.add(new_relationship)
logger.debug(f"创建用户关系: {user_id} -> {score:.3f}")
await session.commit()
# 更新缓存
self._update_cache(user_id, score, relationship_text or "新用户")
except Exception as e:
logger.error(f"更新用户关系失败: {user_id}, 错误: {e}")
def _get_from_cache(self, user_id: str) -> Optional[dict]:
"""从缓存获取数据"""
if user_id in self._cache:
cached_data = self._cache[user_id]
if time.time() - cached_data["last_updated"] < self._cache_ttl:
return cached_data
else:
# 缓存过期,删除
del self._cache[user_id]
return None
def _update_cache(self, user_id: str, score: float, text: str):
"""更新缓存"""
self._cache[user_id] = {
"score": score,
"text": text,
"last_updated": time.time()
}
async def _fetch_from_database(self, user_id: str) -> Optional[UserRelationships]:
"""从数据库获取关系数据"""
try:
async with get_db_session() as session:
from sqlalchemy import select
stmt = select(UserRelationships).where(UserRelationships.user_id == user_id)
result = await session.execute(stmt)
return result.scalar_one_or_none()
except Exception as e:
logger.error(f"从数据库获取关系数据失败: {user_id}, 错误: {e}")
return None
async def _create_default_relationship(self, user_id: str):
"""创建默认关系记录"""
try:
default_score = global_config.affinity_flow.base_relationship_score
async with get_db_session() as session:
new_relationship = UserRelationships(
user_id=user_id,
user_name="",
relationship_text="新用户",
relationship_score=default_score,
last_updated=time.time()
)
session.add(new_relationship)
await session.commit()
logger.debug(f"创建默认关系记录: {user_id} -> {default_score:.3f}")
except Exception as e:
logger.error(f"创建默认关系记录失败: {user_id}, 错误: {e}")
def get_cache_stats(self) -> dict:
"""获取缓存统计信息"""
return {
"cached_users": len(self._cache),
"cache_ttl": self._cache_ttl,
"cache_keys": list(self._cache.keys())
}
def clear_cache(self, user_id: Optional[str] = None):
"""清理缓存"""
if user_id:
if user_id in self._cache:
del self._cache[user_id]
logger.debug(f"清理用户缓存: {user_id}")
else:
self._cache.clear()
logger.debug("清理所有缓存")
# 创建全局实例
relationship_service = RelationshipService()