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re-style: 格式化代码

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This commit is contained in:
John Richard
2025-10-02 20:26:01 +08:00
committed by Windpicker-owo
parent 00ba07e0e1
commit a79253c714
263 changed files with 3781 additions and 3189 deletions
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5
src/chat/interest_system/__init__.py
View File

@@ -3,13 +3,14 @@
提供机器人兴趣标签和智能匹配功能
"""
from .bot_interest_manager import BotInterestManager, bot_interest_manager
from src.common.data_models.bot_interest_data_model import BotInterestTag, BotPersonalityInterests, InterestMatchResult
from .bot_interest_manager import BotInterestManager, bot_interest_manager
__all__ = [
"BotInterestManager",
"bot_interest_manager",
"BotInterestTag",
"BotPersonalityInterests",
"InterestMatchResult",
"bot_interest_manager",
]

49
src/chat/interest_system/bot_interest_manager.py
View File

@@ -3,17 +3,18 @@
基于人设生成兴趣标签，并使用embedding计算匹配度
"""
import orjson
import traceback
from typing import List, Dict, Optional, Any
from datetime import datetime
from typing import Any
import numpy as np
import orjson
from sqlalchemy import select
from src.common.config_helpers import resolve_embedding_dimension
from src.common.data_models.bot_interest_data_model import BotInterestTag, BotPersonalityInterests, InterestMatchResult
from src.common.logger import get_logger
from src.config.config import global_config
from src.common.config_helpers import resolve_embedding_dimension
from src.common.data_models.bot_interest_data_model import BotPersonalityInterests, BotInterestTag, InterestMatchResult
logger = get_logger("bot_interest_manager")
@@ -22,8 +23,8 @@ class BotInterestManager:
"""机器人兴趣标签管理器"""
def __init__(self):
self.current_interests: Optional[BotPersonalityInterests] = None
self.embedding_cache: Dict[str, List[float]] = {} # embedding缓存
self.current_interests: BotPersonalityInterests | None = None
self.embedding_cache: dict[str, list[float]] = {} # embedding缓存
self._initialized = False
# Embedding客户端配置
@@ -31,7 +32,7 @@ class BotInterestManager:
self.embedding_config = None
configured_dim = resolve_embedding_dimension()
self.embedding_dimension = int(configured_dim) if configured_dim else 0
self._detected_embedding_dimension: Optional[int] = None
self._detected_embedding_dimension: int | None = None
@property
def is_initialized(self) -> bool:
@@ -145,7 +146,7 @@ class BotInterestManager:
async def _generate_interests_from_personality(
self, personality_description: str, personality_id: str
) -> Optional[BotPersonalityInterests]:
) -> BotPersonalityInterests | None:
"""根据人设生成兴趣标签"""
try:
logger.info("🎨 开始根据人设生成兴趣标签...")
@@ -226,14 +227,14 @@ class BotInterestManager:
traceback.print_exc()
raise
async def _call_llm_for_interest_generation(self, prompt: str) -> Optional[str]:
async def _call_llm_for_interest_generation(self, prompt: str) -> str | None:
"""调用LLM生成兴趣标签"""
try:
logger.info("🔧 配置LLM客户端...")
# 使用llm_api来处理请求
from src.plugin_system.apis import llm_api
from src.config.config import model_config
from src.plugin_system.apis import llm_api
# 构建完整的提示词，明确要求只返回纯JSON
full_prompt = f"""你是一个专业的机器人人设分析师，擅长根据人设描述生成合适的兴趣标签。
@@ -342,7 +343,7 @@ class BotInterestManager:
logger.info(f"🗃️ 总缓存大小: {len(self.embedding_cache)}")
logger.info("=" * 50)
async def _get_embedding(self, text: str) -> List[float]:
async def _get_embedding(self, text: str) -> list[float]:
"""获取文本的embedding向量"""
if not hasattr(self, "embedding_request"):
raise RuntimeError("❌ Embedding请求客户端未初始化")
@@ -383,7 +384,7 @@ class BotInterestManager:
else:
raise RuntimeError(f"❌ 返回的embedding为空: {embedding}")
async def _generate_message_embedding(self, message_text: str, keywords: List[str]) -> List[float]:
async def _generate_message_embedding(self, message_text: str, keywords: list[str]) -> list[float]:
"""为消息生成embedding向量"""
# 组合消息文本和关键词作为embedding输入
if keywords:
@@ -399,7 +400,7 @@ class BotInterestManager:
return embedding
async def _calculate_similarity_scores(
self, result: InterestMatchResult, message_embedding: List[float], keywords: List[str]
self, result: InterestMatchResult, message_embedding: list[float], keywords: list[str]
):
"""计算消息与兴趣标签的相似度分数"""
try:
@@ -428,7 +429,7 @@ class BotInterestManager:
except Exception as e:
logger.error(f"❌ 计算相似度分数失败: {e}")
async def calculate_interest_match(self, message_text: str, keywords: List[str] = None) -> InterestMatchResult:
async def calculate_interest_match(self, message_text: str, keywords: list[str] = None) -> InterestMatchResult:
"""计算消息与机器人兴趣的匹配度"""
if not self.current_interests or not self._initialized:
raise RuntimeError("❌ 兴趣标签系统未初始化")
@@ -528,7 +529,7 @@ class BotInterestManager:
)
return result
def _calculate_keyword_match_bonus(self, keywords: List[str], matched_tags: List[str]) -> Dict[str, float]:
def _calculate_keyword_match_bonus(self, keywords: list[str], matched_tags: list[str]) -> dict[str, float]:
"""计算关键词直接匹配奖励"""
if not keywords or not matched_tags:
return {}
@@ -610,7 +611,7 @@ class BotInterestManager:
return previous_row[-1]
def _calculate_cosine_similarity(self, vec1: List[float], vec2: List[float]) -> float:
def _calculate_cosine_similarity(self, vec1: list[float], vec2: list[float]) -> float:
"""计算余弦相似度"""
try:
vec1 = np.array(vec1)
@@ -629,16 +630,17 @@ class BotInterestManager:
logger.error(f"计算余弦相似度失败: {e}")
return 0.0
async def _load_interests_from_database(self, personality_id: str) -> Optional[BotPersonalityInterests]:
async def _load_interests_from_database(self, personality_id: str) -> BotPersonalityInterests | None:
"""从数据库加载兴趣标签"""
try:
logger.debug(f"从数据库加载兴趣标签, personality_id: {personality_id}")
# 导入SQLAlchemy相关模块
from src.common.database.sqlalchemy_models import BotPersonalityInterests as DBBotPersonalityInterests
from src.common.database.sqlalchemy_database_api import get_db_session
import orjson
from src.common.database.sqlalchemy_database_api import get_db_session
from src.common.database.sqlalchemy_models import BotPersonalityInterests as DBBotPersonalityInterests
async with get_db_session() as session:
# 查询最新的兴趣标签配置
db_interests = (
@@ -716,10 +718,11 @@ class BotInterestManager:
logger.info(f"🔄 版本: {interests.version}")
# 导入SQLAlchemy相关模块
from src.common.database.sqlalchemy_models import BotPersonalityInterests as DBBotPersonalityInterests
from src.common.database.sqlalchemy_database_api import get_db_session
import orjson
from src.common.database.sqlalchemy_database_api import get_db_session
from src.common.database.sqlalchemy_models import BotPersonalityInterests as DBBotPersonalityInterests
# 将兴趣标签转换为JSON格式
tags_data = []
for tag in interests.interest_tags:
@@ -803,11 +806,11 @@ class BotInterestManager:
logger.error("🔍 错误详情:")
traceback.print_exc()
def get_current_interests(self) -> Optional[BotPersonalityInterests]:
def get_current_interests(self) -> BotPersonalityInterests | None:
"""获取当前的兴趣标签配置"""
return self.current_interests
def get_interest_stats(self) -> Dict[str, Any]:
def get_interest_stats(self) -> dict[str, Any]:
"""获取兴趣系统统计信息"""
if not self.current_interests:
return {"initialized": False}