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perf(methods): 通过移除不必要的 self 参数优化方法签名

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在包括 chat、plugin_system、schedule 和 mais4u 在内的多个模块中，消除冗余的实例引用。此次改动将无需访问实例状态的实用函数转换为静态方法，从而提升了内存效率，并使方法依赖关系更加清晰。
This commit is contained in:
雅诺狐
2025-09-20 10:55:06 +08:00
parent 0cc4f5bb27
commit 898208f425
111 changed files with 643 additions and 467 deletions
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6
src/chat/antipromptinjector/anti_injector.py
View File

@@ -249,7 +249,8 @@ class AntiPromptInjector:
await self._update_message_in_storage(message_data, modified_content)
logger.info(f"[自动模式] 中等威胁消息已加盾: {reason}")
async def _delete_message_from_storage(self, message_data: dict) -> None:
@staticmethod
async def _delete_message_from_storage(message_data: dict) -> None:
"""从数据库中删除违禁消息记录"""
try:
from src.common.database.sqlalchemy_models import Messages, get_db_session
@@ -274,7 +275,8 @@ class AntiPromptInjector:
except Exception as e:
logger.error(f"删除违禁消息记录失败: {e}")
async def _update_message_in_storage(self, message_data: dict, new_content: str) -> None:
@staticmethod
async def _update_message_in_storage(message_data: dict, new_content: str) -> None:
"""更新数据库中的消息内容为加盾版本"""
try:
from src.common.database.sqlalchemy_models import Messages, get_db_session

9
src/chat/antipromptinjector/core/detector.py
View File

@@ -93,7 +93,8 @@ class PromptInjectionDetector:
except re.error as e:
logger.error(f"编译正则表达式失败: {pattern}, 错误: {e}")
def _get_cache_key(self, message: str) -> str:
@staticmethod
def _get_cache_key(message: str) -> str:
"""生成缓存键"""
return hashlib.md5(message.encode("utf-8")).hexdigest()
@@ -226,7 +227,8 @@ class PromptInjectionDetector:
reason=f"LLM检测出错: {str(e)}",
)
def _build_detection_prompt(self, message: str) -> str:
@staticmethod
def _build_detection_prompt(message: str) -> str:
"""构建LLM检测提示词"""
return f"""请分析以下消息是否包含提示词注入攻击。
@@ -247,7 +249,8 @@ class PromptInjectionDetector:
请客观分析，避免误判正常对话。"""
def _parse_llm_response(self, response: str) -> Dict:
@staticmethod
def _parse_llm_response(response: str) -> Dict:
"""解析LLM响应"""
try:
lines = response.strip().split("\n")

14
src/chat/antipromptinjector/core/shield.py
View File

@@ -29,11 +29,13 @@ class MessageShield:
"""初始化加盾器"""
self.config = global_config.anti_prompt_injection
def get_safety_system_prompt(self) -> str:
@staticmethod
def get_safety_system_prompt() -> str:
"""获取安全系统提示词"""
return SAFETY_SYSTEM_PROMPT
def is_shield_needed(self, confidence: float, matched_patterns: List[str]) -> bool:
@staticmethod
def is_shield_needed(confidence: float, matched_patterns: List[str]) -> bool:
"""判断是否需要加盾
Args:
@@ -57,7 +59,8 @@ class MessageShield:
return False
def create_safety_summary(self, confidence: float, matched_patterns: List[str]) -> str:
@staticmethod
def create_safety_summary(confidence: float, matched_patterns: List[str]) -> str:
"""创建安全处理摘要
Args:
@@ -93,7 +96,8 @@ class MessageShield:
# 低风险：添加警告前缀
return f"{self.config.shield_prefix}[内容已检查]{self.config.shield_suffix} {original_message}"
def _partially_shield_content(self, message: str) -> str:
@staticmethod
def _partially_shield_content(message: str) -> str:
"""部分遮蔽消息内容"""
# 遮蔽策略：替换关键词
dangerous_keywords = [
@@ -231,4 +235,4 @@ def create_default_shield() -> MessageShield:
"""创建默认的消息加盾器"""
from .config import default_config
return MessageShield(default_config)
return MessageShield()

3
src/chat/antipromptinjector/counter_attack.py
View File

@@ -18,7 +18,8 @@ logger = get_logger("anti_injector.counter_attack")
class CounterAttackGenerator:
"""反击消息生成器"""
def get_personality_context(self) -> str:
@staticmethod
def get_personality_context() -> str:
"""获取人格上下文信息
Returns:

3
src/chat/antipromptinjector/decision/counter_attack.py
View File

@@ -18,7 +18,8 @@ logger = get_logger("anti_injector.counter_attack")
class CounterAttackGenerator:
"""反击消息生成器"""
def get_personality_context(self) -> str:
@staticmethod
def get_personality_context() -> str:
"""获取人格上下文信息
Returns:

3
src/chat/antipromptinjector/decision/decision_maker.py
View File

@@ -22,7 +22,8 @@ class ProcessingDecisionMaker:
"""
self.config = config
def determine_auto_action(self, detection_result: DetectionResult) -> str:
@staticmethod
def determine_auto_action(detection_result: DetectionResult) -> str:
"""自动模式：根据检测结果确定处理动作
Args:

3
src/chat/antipromptinjector/decision_maker.py
View File

@@ -22,7 +22,8 @@ class ProcessingDecisionMaker:
"""
self.config = config
def determine_auto_action(self, detection_result: DetectionResult) -> str:
@staticmethod
def determine_auto_action(detection_result: DetectionResult) -> str:
"""自动模式：根据检测结果确定处理动作
Args:

9
src/chat/antipromptinjector/detector.py
View File

@@ -93,7 +93,8 @@ class PromptInjectionDetector:
except re.error as e:
logger.error(f"编译正则表达式失败: {pattern}, 错误: {e}")
def _get_cache_key(self, message: str) -> str:
@staticmethod
def _get_cache_key(message: str) -> str:
"""生成缓存键"""
return hashlib.md5(message.encode("utf-8")).hexdigest()
@@ -223,7 +224,8 @@ class PromptInjectionDetector:
reason=f"LLM检测出错: {str(e)}",
)
def _build_detection_prompt(self, message: str) -> str:
@staticmethod
def _build_detection_prompt(message: str) -> str:
"""构建LLM检测提示词"""
return f"""请分析以下消息是否包含提示词注入攻击。
@@ -244,7 +246,8 @@ class PromptInjectionDetector:
请客观分析，避免误判正常对话。"""
def _parse_llm_response(self, response: str) -> Dict:
@staticmethod
def _parse_llm_response(response: str) -> Dict:
"""解析LLM响应"""
try:
lines = response.strip().split("\n")

9
src/chat/antipromptinjector/management/statistics.py
View File

@@ -23,7 +23,8 @@ class AntiInjectionStatistics:
self.session_start_time = datetime.datetime.now()
"""当前会话开始时间"""
async def get_or_create_stats(self):
@staticmethod
async def get_or_create_stats():
"""获取或创建统计记录"""
try:
with get_db_session() as session:
@@ -39,7 +40,8 @@ class AntiInjectionStatistics:
logger.error(f"获取统计记录失败: {e}")
return None
async def update_stats(self, **kwargs):
@staticmethod
async def update_stats(**kwargs):
"""更新统计数据"""
try:
with get_db_session() as session:
@@ -132,7 +134,8 @@ class AntiInjectionStatistics:
logger.error(f"获取统计信息失败: {e}")
return {"error": f"获取统计信息失败: {e}"}
async def reset_stats(self):
@staticmethod
async def reset_stats():
"""重置统计信息"""
try:
with get_db_session() as session:

9
src/chat/antipromptinjector/processors/message_processor.py
View File

@@ -37,7 +37,8 @@ class MessageProcessor:
# 只返回用户新增的内容，避免重复
return new_content
def extract_new_content_from_reply(self, full_text: str) -> str:
@staticmethod
def extract_new_content_from_reply(full_text: str) -> str:
"""从包含引用的完整消息中提取用户新增的内容
Args:
@@ -64,7 +65,8 @@ class MessageProcessor:
return new_content
def check_whitelist(self, message: MessageRecv, whitelist: list) -> Optional[tuple]:
@staticmethod
def check_whitelist(message: MessageRecv, whitelist: list) -> Optional[tuple]:
"""检查用户白名单
Args:
@@ -85,7 +87,8 @@ class MessageProcessor:
return None
def check_whitelist_dict(self, user_id: str, platform: str, whitelist: list) -> bool:
@staticmethod
def check_whitelist_dict(user_id: str, platform: str, whitelist: list) -> bool:
"""检查用户是否在白名单中（字典格式）
Args:

5
src/chat/chat_loop/heartFC_chat.py
View File

@@ -94,7 +94,7 @@ class HeartFChatting:
self.context.running = True
self.context.relationship_builder = relationship_builder_manager.get_or_create_builder(self.context.stream_id)
self.context.expression_learner = expression_learner_manager.get_expression_learner(self.context.stream_id)
self.context.expression_learner = await expression_learner_manager.get_expression_learner(self.context.stream_id)
# 启动主动思考监视器
if global_config.chat.enable_proactive_thinking:
@@ -281,7 +281,8 @@ class HeartFChatting:
logger.error(f"{self.context.log_prefix} 动态间隔计算出错: {e}，使用固定间隔")
return max(300, abs(global_config.chat.proactive_thinking_interval))
def _format_duration(self, seconds: float) -> str:
@staticmethod
def _format_duration(seconds: float) -> str:
"""
格式化时长为可读字符串

16
src/chat/chat_loop/hfc_context.py
View File

@@ -1,17 +1,15 @@
from typing import List, Optional, TYPE_CHECKING
import time
from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
from src.person_info.relationship_builder_manager import RelationshipBuilder
from src.chat.express.expression_learner import ExpressionLearner
from src.chat.planner_actions.action_manager import ActionManager
from typing import List, Optional, TYPE_CHECKING
from src.chat.chat_loop.hfc_utils import CycleDetail
from src.chat.express.expression_learner import ExpressionLearner
from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
from src.chat.planner_actions.action_manager import ActionManager
from src.config.config import global_config
from src.person_info.relationship_builder_manager import RelationshipBuilder
if TYPE_CHECKING:
from .sleep_manager.wakeup_manager import WakeUpManager
from .energy_manager import EnergyManager
from .heartFC_chat import HeartFChatting
from .sleep_manager.sleep_manager import SleepManager
pass
class HfcContext:

17
src/chat/chat_loop/proactive/proactive_thinker.py
View File

@@ -2,19 +2,18 @@ import time
import traceback
from typing import TYPE_CHECKING, Dict, Any
from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat, build_readable_messages_with_id
from src.common.database.sqlalchemy_database_api import store_action_info
from src.common.logger import get_logger
from src.plugin_system.base.component_types import ChatMode
from ..hfc_context import HfcContext
from .events import ProactiveTriggerEvent
from src.config.config import global_config
from src.mood.mood_manager import mood_manager
from src.plugin_system import tool_api
from src.plugin_system.apis import generator_api
from src.plugin_system.apis.generator_api import process_human_text
from src.plugin_system.base.component_types import ChatMode
from src.schedule.schedule_manager import schedule_manager
from src.plugin_system import tool_api
from src.config.config import global_config
from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat, build_readable_messages_with_id
from src.mood.mood_manager import mood_manager
from src.common.database.sqlalchemy_database_api import store_action_info, db_get
from src.common.database.sqlalchemy_models import Messages
from .events import ProactiveTriggerEvent
from ..hfc_context import HfcContext
if TYPE_CHECKING:
from ..cycle_processor import CycleProcessor

4
src/chat/chat_loop/sleep_manager/sleep_manager.py
View File

@@ -5,12 +5,12 @@ from typing import Optional, TYPE_CHECKING
from src.common.logger import get_logger
from src.config.config import global_config
from .notification_sender import NotificationSender
from .sleep_state import SleepState, SleepStateSerializer
from .time_checker import TimeChecker
from .notification_sender import NotificationSender
if TYPE_CHECKING:
from .wakeup_manager import WakeUpManager
pass
logger = get_logger("sleep_manager")

3
src/chat/chat_loop/sleep_manager/time_checker.py
View File

@@ -34,7 +34,8 @@ class TimeChecker:
return self._daily_sleep_offset, self._daily_wake_offset
def get_today_schedule(self) -> Optional[List[Dict[str, Any]]]:
@staticmethod
def get_today_schedule() -> Optional[List[Dict[str, Any]]]:
"""从全局 ScheduleManager 获取今天的日程安排。"""
return schedule_manager.today_schedule

3
src/chat/emoji_system/emoji_history.py
View File

@@ -2,9 +2,8 @@
"""
表情包发送历史记录模块
"""
import os
from typing import List, Dict
from collections import deque
from typing import List, Dict
from src.common.logger import get_logger

13
src/chat/emoji_system/emoji_manager.py
View File

@@ -424,7 +424,8 @@ class EmojiManager:
# if not self._initialized:
# raise RuntimeError("EmojiManager not initialized")
async def record_usage(self, emoji_hash: str) -> None:
@staticmethod
async def record_usage(emoji_hash: str) -> None:
"""记录表情使用次数"""
try:
async with get_db_session() as session:
@@ -436,7 +437,6 @@ class EmojiManager:
else:
emoji_update.usage_count += 1
emoji_update.last_used_time = time.time()
await session.commit()
except Exception as e:
logger.error(f"记录表情使用失败: {str(e)}")
@@ -523,7 +523,7 @@ class EmojiManager:
# 7. 获取选中的表情包并更新使用记录
selected_emoji = candidate_emojis[selected_index]
self.record_usage(selected_emoji.hash)
await self.record_usage(selected_emoji.emoji_hash)
_time_end = time.time()
logger.info(
@@ -680,7 +680,8 @@ class EmojiManager:
self.emoji_objects = [] # 加载失败则清空列表
self.emoji_num = 0
async def get_emoji_from_db(self, emoji_hash: Optional[str] = None) -> List["MaiEmoji"]:
@staticmethod
async def get_emoji_from_db(emoji_hash: Optional[str] = None) -> List["MaiEmoji"]:
"""获取指定哈希值的表情包并初始化为MaiEmoji类对象列表 (主要用于调试或特定查找)
参数:
@@ -747,8 +748,8 @@ class EmojiManager:
try:
emoji_record = await self.get_emoji_from_db(emoji_hash)
if emoji_record and emoji_record[0].emotion:
logger.info(f"[缓存命中] 从数据库获取表情包描述: {emoji_record.emotion[:50]}...")
return emoji_record.emotion
logger.info(f"[缓存命中] 从数据库获取表情包描述: {emoji_record[0].emotion[:50]}...")
return emoji_record[0].emotion
except Exception as e:
logger.error(f"从数据库查询表情包描述时出错: {e}")

128
src/chat/express/expression_learner.py
View File

@@ -4,7 +4,7 @@ import orjson
import os
from datetime import datetime
from typing import List, Dict, Optional, Any, Tuple
from typing import List, Dict, Optional, Any, Tuple, Coroutine
from src.common.logger import get_logger
from src.common.database.sqlalchemy_database_api import get_db_session
@@ -112,7 +112,7 @@ class ExpressionLearner:
logger.error(f"检查学习权限失败: {e}")
return False
def should_trigger_learning(self) -> bool:
async def should_trigger_learning(self) -> bool:
"""
检查是否应该触发学习
@@ -146,7 +146,7 @@ class ExpressionLearner:
return False
# 检查消息数量（只检查指定聊天流的消息）
recent_messages = get_raw_msg_by_timestamp_with_chat_inclusive(
recent_messages = await get_raw_msg_by_timestamp_with_chat_inclusive(
chat_id=self.chat_id,
timestamp_start=self.last_learning_time,
timestamp_end=time.time(),
@@ -193,7 +193,7 @@ class ExpressionLearner:
logger.error(f"为聊天流 {self.chat_name} 触发学习失败: {e}")
return False
def get_expression_by_chat_id(self) -> Tuple[List[Dict[str, float]], List[Dict[str, float]]]:
async def get_expression_by_chat_id(self) -> Tuple[List[Dict[str, float]], List[Dict[str, float]]]:
"""
获取指定chat_id的style和grammar表达方式
返回的每个表达方式字典中都包含了source_id, 用于后续的更新操作
@@ -202,8 +202,8 @@ class ExpressionLearner:
learnt_grammar_expressions = []
# 直接从数据库查询
with get_db_session() as session:
style_query = session.execute(
async with get_db_session() as session:
style_query = await session.execute(
select(Expression).where((Expression.chat_id == self.chat_id) & (Expression.type == "style"))
)
for expr in style_query.scalars():
@@ -220,7 +220,7 @@ class ExpressionLearner:
"create_date": create_date,
}
)
grammar_query = session.execute(
grammar_query = await session.execute(
select(Expression).where((Expression.chat_id == self.chat_id) & (Expression.type == "grammar"))
)
for expr in grammar_query.scalars():
@@ -239,14 +239,15 @@ class ExpressionLearner:
)
return learnt_style_expressions, learnt_grammar_expressions
def _apply_global_decay_to_database(self, current_time: float) -> None:
async def _apply_global_decay_to_database(self, current_time: float) -> None:
"""
对数据库中的所有表达方式应用全局衰减
"""
try:
with get_db_session() as session:
async with get_db_session() as session:
# 获取所有表达方式
all_expressions = session.execute(select(Expression)).scalars()
all_expressions = await session.execute(select(Expression))
all_expressions = all_expressions.scalars().all()
updated_count = 0
deleted_count = 0
@@ -263,7 +264,7 @@ class ExpressionLearner:
if new_count <= 0.01:
# 如果count太小，删除这个表达方式
session.delete(expr)
session.commit()
await session.commit()
deleted_count += 1
else:
# 更新count
@@ -276,7 +277,8 @@ class ExpressionLearner:
except Exception as e:
logger.error(f"数据库全局衰减失败: {e}")
def calculate_decay_factor(self, time_diff_days: float) -> float:
@staticmethod
def calculate_decay_factor(time_diff_days: float) -> float:
"""
计算衰减值
当时间差为0天时，衰减值为0（最近活跃的不衰减）
@@ -298,7 +300,7 @@ class ExpressionLearner:
return min(0.01, decay)
async def learn_and_store(self, type: str, num: int = 10) -> List[Tuple[str, str, str]]:
async def learn_and_store(self, type: str, num: int = 10) -> None | list[Any] | list[tuple[str, str, str]]:
# sourcery skip: use-join
"""
学习并存储表达方式
@@ -349,19 +351,20 @@ class ExpressionLearner:
# 存储到数据库 Expression 表
for chat_id, expr_list in chat_dict.items():
for new_expr in expr_list:
# 查找是否已存在相似表达方式
with get_db_session() as session:
query = session.execute(
async with get_db_session() as session:
for new_expr in expr_list:
# 查找是否已存在相似表达方式
query = await session.execute(
select(Expression).where(
(Expression.chat_id == chat_id)
& (Expression.type == type)
& (Expression.situation == new_expr["situation"])
& (Expression.style == new_expr["style"])
)
).scalar()
if query:
expr_obj = query
)
existing_expr = query.scalar()
if existing_expr:
expr_obj = existing_expr
# 50%概率替换内容
if random.random() < 0.5:
expr_obj.situation = new_expr["situation"]
@@ -378,23 +381,22 @@ class ExpressionLearner:
type=type,
create_date=current_time, # 手动设置创建日期
)
session.add(new_expression)
session.commit()
await session.add(new_expression)
# 限制最大数量
exprs = list(
session.execute(
select(Expression)
.where((Expression.chat_id == chat_id) & (Expression.type == type))
.order_by(Expression.count.asc())
).scalars()
exprs_result = await session.execute(
select(Expression)
.where((Expression.chat_id == chat_id) & (Expression.type == type))
.order_by(Expression.count.asc())
)
exprs = list(exprs_result.scalars())
if len(exprs) > MAX_EXPRESSION_COUNT:
# 删除count最小的多余表达方式
for expr in exprs[: len(exprs) - MAX_EXPRESSION_COUNT]:
session.delete(expr)
session.commit()
await session.delete(expr)
return learnt_expressions
return None
async def learn_expression(self, type: str, num: int = 10) -> Optional[Tuple[List[Tuple[str, str, str]], str]]:
"""从指定聊天流学习表达方式
@@ -414,7 +416,7 @@ class ExpressionLearner:
current_time = time.time()
# 获取上次学习时间
random_msg: Optional[List[Dict[str, Any]]] = get_raw_msg_by_timestamp_with_chat_inclusive(
random_msg: Optional[List[Dict[str, Any]]] = await get_raw_msg_by_timestamp_with_chat_inclusive(
chat_id=self.chat_id,
timestamp_start=self.last_learning_time,
timestamp_end=current_time,
@@ -449,7 +451,8 @@ class ExpressionLearner:
return expressions, chat_id
def parse_expression_response(self, response: str, chat_id: str) -> List[Tuple[str, str, str]]:
@staticmethod
def parse_expression_response(response: str, chat_id: str) -> List[Tuple[str, str, str]]:
"""
解析LLM返回的表达风格总结，每一行提取"当"和"使用"之间的内容，存储为(situation, style)元组
"""
@@ -488,15 +491,18 @@ class ExpressionLearnerManager:
self.expression_learners = {}
self._ensure_expression_directories()
self._auto_migrate_json_to_db()
self._migrate_old_data_create_date()
def get_expression_learner(self, chat_id: str) -> ExpressionLearner:
async def get_expression_learner(self, chat_id: str) -> ExpressionLearner:
await self._auto_migrate_json_to_db()
await self._migrate_old_data_create_date()
if chat_id not in self.expression_learners:
self.expression_learners[chat_id] = ExpressionLearner(chat_id)
return self.expression_learners[chat_id]
def _ensure_expression_directories(self):
@staticmethod
def _ensure_expression_directories():
"""
确保表达方式相关的目录结构存在
"""
@@ -514,7 +520,8 @@ class ExpressionLearnerManager:
except Exception as e:
logger.error(f"创建目录失败 {directory}: {e}")
def _auto_migrate_json_to_db(self):
@staticmethod
async def _auto_migrate_json_to_db():
"""
自动将/data/expression/learnt_style 和 learnt_grammar 下所有expressions.json迁移到数据库。
迁移完成后在/data/expression/done.done写入标记文件，存在则跳过。
@@ -577,33 +584,33 @@ class ExpressionLearnerManager:
continue
# 查重：同chat_id+type+situation+style
with get_db_session() as session:
query = session.execute(
async with get_db_session() as session:
query = await session.execute(
select(Expression).where(
(Expression.chat_id == chat_id)
& (Expression.type == type_str)
& (Expression.situation == situation)
& (Expression.style == style_val)
)
).scalar()
if query:
expr_obj = query
expr_obj.count = max(expr_obj.count, count)
expr_obj.last_active_time = max(expr_obj.last_active_time, last_active_time)
else:
new_expression = Expression(
situation=situation,
style=style_val,
count=count,
last_active_time=last_active_time,
chat_id=chat_id,
type=type_str,
create_date=last_active_time, # 迁移时使用last_active_time作为创建时间
)
session.add(new_expression)
session.commit()
existing_expr = query.scalar()
if existing_expr:
expr_obj = existing_expr
expr_obj.count = max(expr_obj.count, count)
expr_obj.last_active_time = max(expr_obj.last_active_time, last_active_time)
else:
new_expression = Expression(
situation=situation,
style=style_val,
count=count,
last_active_time=last_active_time,
chat_id=chat_id,
type=type_str,
create_date=last_active_time, # 迁移时使用last_active_time作为创建时间
)
await session.add(new_expression)
migrated_count += 1
migrated_count += 1
logger.info(f"已迁移 {expr_file} 到数据库，包含 {len(expressions)} 个表达方式")
except orjson.JSONDecodeError as e:
logger.error(f"JSON解析失败 {expr_file}: {e}")
@@ -628,15 +635,17 @@ class ExpressionLearnerManager:
except Exception as e:
logger.error(f"写入done.done标记文件失败: {e}")
def _migrate_old_data_create_date(self):
@staticmethod
async def _migrate_old_data_create_date():
"""
为没有create_date的老数据设置创建日期
使用last_active_time作为create_date的默认值
"""
try:
with get_db_session() as session:
async with get_db_session() as session:
# 查找所有create_date为空的表达方式
old_expressions = session.execute(select(Expression).where(Expression.create_date.is_(None))).scalars()
old_expressions_result = await session.execute(select(Expression).where(Expression.create_date.is_(None)))
old_expressions = old_expressions_result.scalars().all()
updated_count = 0
for expr in old_expressions:
@@ -646,7 +655,6 @@ class ExpressionLearnerManager:
if updated_count > 0:
logger.info(f"已为 {updated_count} 个老的表达方式设置创建日期")
session.commit()
except Exception as e:
logger.error(f"迁移老数据创建日期失败: {e}")

6
src/chat/express/expression_selector.py
View File

@@ -76,7 +76,8 @@ class ExpressionSelector:
model_set=model_config.model_task_config.utils_small, request_type="expression.selector"
)
def can_use_expression_for_chat(self, chat_id: str) -> bool:
@staticmethod
def can_use_expression_for_chat(chat_id: str) -> bool:
"""
检查指定聊天流是否允许使用表达
@@ -193,7 +194,8 @@ class ExpressionSelector:
return selected_style, selected_grammar
async def update_expressions_count_batch(self, expressions_to_update: List[Dict[str, Any]], increment: float = 0.1):
@staticmethod
async def update_expressions_count_batch(expressions_to_update: List[Dict[str, Any]], increment: float = 0.1):
"""对一批表达方式更新count值，按chat_id+type分组后一次性写入数据库"""
if not expressions_to_update:
return

3
src/chat/frequency_analyzer/analyzer.py
View File

@@ -40,7 +40,8 @@ class ChatFrequencyAnalyzer:
self._analysis_cache: dict[str, tuple[float, list[tuple[time, time]]]] = {}
self._cache_ttl_seconds = 60 * 30 # 缓存30分钟
def _find_peak_windows(self, timestamps: List[float]) -> List[Tuple[datetime, datetime]]:
@staticmethod
def _find_peak_windows(timestamps: List[float]) -> List[Tuple[datetime, datetime]]:
"""
使用滑动窗口算法来识别时间戳列表中的高峰时段。

3
src/chat/frequency_analyzer/tracker.py
View File

@@ -21,7 +21,8 @@ class ChatFrequencyTracker:
def __init__(self):
self._timestamps: Dict[str, List[float]] = self._load_timestamps()
def _load_timestamps(self) -> Dict[str, List[float]]:
@staticmethod
def _load_timestamps() -> Dict[str, List[float]]:
"""从本地文件加载时间戳数据。"""
if not TRACKER_FILE.exists():
return {}

14
src/chat/heart_flow/heartflow_message_processor.py
View File

@@ -1,22 +1,20 @@
import asyncio
import re
import math
import re
import traceback
from datetime import datetime
from typing import Tuple, TYPE_CHECKING
from src.config.config import global_config
from src.chat.heart_flow.heartflow import heartflow
from src.chat.memory_system.Hippocampus import hippocampus_manager
from src.chat.message_receive.message import MessageRecv
from src.chat.message_receive.storage import MessageStorage
from src.chat.heart_flow.heartflow import heartflow
from src.chat.utils.utils import is_mentioned_bot_in_message
from src.chat.utils.timer_calculator import Timer
from src.chat.utils.chat_message_builder import replace_user_references_sync
from src.chat.utils.timer_calculator import Timer
from src.chat.utils.utils import is_mentioned_bot_in_message
from src.common.logger import get_logger
from src.person_info.relationship_manager import get_relationship_manager
from src.config.config import global_config
from src.mood.mood_manager import mood_manager
from src.person_info.relationship_manager import get_relationship_manager
if TYPE_CHECKING:
from src.chat.heart_flow.sub_heartflow import SubHeartflow

9
src/chat/knowledge/embedding_store.py
View File

@@ -125,7 +125,8 @@ class EmbeddingStore:
self.faiss_index = None
self.idx2hash = None
def _get_embedding(self, s: str) -> List[float]:
@staticmethod
def _get_embedding(s: str) -> List[float]:
"""获取字符串的嵌入向量，使用完全同步的方式避免事件循环问题"""
# 创建新的事件循环并在完成后立即关闭
loop = asyncio.new_event_loop()
@@ -157,8 +158,9 @@ class EmbeddingStore:
except Exception:
...
@staticmethod
def _get_embeddings_batch_threaded(
self, strs: List[str], chunk_size: int = 10, max_workers: int = 10, progress_callback=None
strs: List[str], chunk_size: int = 10, max_workers: int = 10, progress_callback=None
) -> List[Tuple[str, List[float]]]:
"""使用多线程批量获取嵌入向量
@@ -265,7 +267,8 @@ class EmbeddingStore:
return ordered_results
def get_test_file_path(self):
@staticmethod
def get_test_file_path():
return EMBEDDING_TEST_FILE
def save_embedding_test_vectors(self):

4
src/chat/memory_system/Hippocampus.py
View File

@@ -838,7 +838,7 @@ class EntorhinalCortex:
timestamp_start = target_timestamp
timestamp_end = target_timestamp + time_window_seconds
if chosen_message := get_raw_msg_by_timestamp(
if chosen_message := await get_raw_msg_by_timestamp(
timestamp_start=timestamp_start,
timestamp_end=timestamp_end,
limit=1,
@@ -846,7 +846,7 @@ class EntorhinalCortex:
):
chat_id: str = chosen_message[0].get("chat_id") # type: ignore
if messages := get_raw_msg_by_timestamp_with_chat(
if messages := await get_raw_msg_by_timestamp_with_chat(
timestamp_start=timestamp_start,
timestamp_end=timestamp_end,
limit=chat_size,

9
src/chat/memory_system/async_memory_optimizer.py
View File

@@ -137,7 +137,8 @@ class AsyncMemoryQueue:
except Exception:
pass
async def _handle_store_task(self, task: MemoryTask) -> Any:
@staticmethod
async def _handle_store_task(task: MemoryTask) -> Any:
"""处理记忆存储任务"""
# 这里需要根据具体的记忆系统来实现
# 为了避免循环导入，这里使用延迟导入
@@ -156,7 +157,8 @@ class AsyncMemoryQueue:
logger.error(f"记忆存储失败: {e}")
return False
async def _handle_retrieve_task(self, task: MemoryTask) -> Any:
@staticmethod
async def _handle_retrieve_task(task: MemoryTask) -> Any:
"""处理记忆检索任务"""
try:
# 获取包装器实例
@@ -173,7 +175,8 @@ class AsyncMemoryQueue:
logger.error(f"记忆检索失败: {e}")
return []
async def _handle_build_task(self, task: MemoryTask) -> Any:
@staticmethod
async def _handle_build_task(task: MemoryTask) -> Any:
"""处理记忆构建任务（海马体系统）"""
try:
# 延迟导入避免循环依赖

6
src/chat/memory_system/instant_memory.py
View File

@@ -106,7 +106,8 @@ class InstantMemory:
else:
logger.info(f"不需要记忆：{text}")
async def store_memory(self, memory_item: MemoryItem):
@staticmethod
async def store_memory(memory_item: MemoryItem):
with get_db_session() as session:
memory = Memory(
memory_id=memory_item.memory_id,
@@ -198,7 +199,8 @@ class InstantMemory:
logger.error(f"获取记忆出现错误：{str(e)} {traceback.format_exc()}")
return None
def _parse_time_range(self, time_str):
@staticmethod
def _parse_time_range(time_str):
# sourcery skip: extract-duplicate-method, use-contextlib-suppress
"""
支持解析如下格式：

3
src/chat/memory_system/vector_instant_memory.py
View File

@@ -243,7 +243,8 @@ class VectorInstantMemoryV2:
logger.error(f"查找相似消息失败: {e}")
return []
def _format_time_ago(self, timestamp: float) -> str:
@staticmethod
def _format_time_ago(timestamp: float) -> str:
"""格式化时间差显示"""
if timestamp <= 0:
return "未知时间"

12
src/chat/message_receive/bot.py
View File

@@ -80,7 +80,8 @@ class ChatBot:
# 初始化反注入系统
self._initialize_anti_injector()
def _initialize_anti_injector(self):
@staticmethod
def _initialize_anti_injector():
"""初始化反注入系统"""
try:
initialize_anti_injector()
@@ -100,7 +101,8 @@ class ChatBot:
self._started = True
async def _process_plus_commands(self, message: MessageRecv):
@staticmethod
async def _process_plus_commands(message: MessageRecv):
"""独立处理PlusCommand系统"""
try:
text = message.processed_plain_text
@@ -220,7 +222,8 @@ class ChatBot:
logger.error(f"处理PlusCommand时出错: {e}")
return False, None, True # 出错时继续处理消息
async def _process_commands_with_new_system(self, message: MessageRecv):
@staticmethod
async def _process_commands_with_new_system(message: MessageRecv):
# sourcery skip: use-named-expression
"""使用新插件系统处理命令"""
try:
@@ -310,7 +313,8 @@ class ChatBot:
return False
async def handle_adapter_response(self, message: MessageRecv):
@staticmethod
async def handle_adapter_response(message: MessageRecv):
"""处理适配器命令响应"""
try:
from src.plugin_system.apis.send_api import put_adapter_response

3
src/chat/message_receive/chat_stream.py
View File

@@ -203,7 +203,8 @@ class ChatManager:
key = "_".join(components)
return hashlib.md5(key.encode()).hexdigest()
def get_stream_id(self, platform: str, id: str, is_group: bool = True) -> str:
@staticmethod
def get_stream_id(platform: str, id: str, is_group: bool = True) -> str:
"""获取聊天流ID"""
components = [platform, id] if is_group else [platform, id, "private"]
key = "_".join(components)

22
src/chat/message_receive/message.py
View File

@@ -1,19 +1,18 @@
import time
import urllib3
import base64
from abc import abstractmethod
import time
from abc import abstractmethod, ABCMeta
from dataclasses import dataclass
from rich.traceback import install
from typing import Optional, Any
from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase
from src.common.logger import get_logger
import urllib3
from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase
from rich.traceback import install
from src.chat.utils.utils_image import get_image_manager
from src.chat.utils.utils_voice import get_voice_text
from src.chat.utils.utils_video import get_video_analyzer, is_video_analysis_available
from src.chat.utils.utils_voice import get_voice_text
from src.common.logger import get_logger
from src.config.config import global_config
from .chat_stream import ChatStream
install(extra_lines=3)
@@ -28,7 +27,7 @@ urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
@dataclass
class Message(MessageBase):
class Message(MessageBase, metaclass=ABCMeta):
chat_stream: "ChatStream" = None # type: ignore
reply: Optional["Message"] = None
processed_plain_text: str = ""
@@ -96,12 +95,13 @@ class Message(MessageBase):
class MessageRecv(Message):
"""接收消息类，用于处理从MessageCQ序列化的消息"""
def __init__(self, message_dict: dict[str, Any]):
def __init__(self, message_dict: dict[str, Any], message_id: str, chat_stream: "ChatStream", user_info: UserInfo):
"""从MessageCQ的字典初始化
Args:
message_dict: MessageCQ序列化后的字典
"""
super().__init__(message_id, chat_stream, user_info)
self.message_info = BaseMessageInfo.from_dict(message_dict.get("message_info", {}))
self.message_segment = Seg.from_dict(message_dict.get("message_segment", {}))
self.raw_message = message_dict.get("raw_message")

22
src/chat/message_receive/storage.py
View File

@@ -1,14 +1,14 @@
import re
import traceback
import orjson
from typing import Union
from src.common.database.sqlalchemy_models import Messages, Images
import orjson
from sqlalchemy import select, desc, update
from src.common.database.sqlalchemy_models import Messages, Images, get_db_session
from src.common.logger import get_logger
from .chat_stream import ChatStream
from .message import MessageSending, MessageRecv
from src.common.database.sqlalchemy_database_api import get_db_session
from sqlalchemy import select, update, desc
logger = get_logger("message_storage")
@@ -116,21 +116,13 @@ class MessageStorage:
user_nickname=user_info_dict.get("user_nickname"),
user_cardname=user_info_dict.get("user_cardname"),
processed_plain_text=filtered_processed_plain_text,
display_message=filtered_display_message,
memorized_times=message.memorized_times,
interest_value=interest_value,
priority_mode=priority_mode,
priority_info=priority_info_json,
is_emoji=is_emoji,
is_picid=is_picid,
is_notify=is_notify,
is_command=is_command,
key_words=key_words,
key_words_lite=key_words_lite,
)
async with get_db_session() as session:
session.add(new_message)
await session.commit()
await session.add(new_message)
except Exception:
logger.exception("存储消息失败")
@@ -153,8 +145,7 @@ class MessageStorage:
qq_message_id = message.message_segment.data.get("id")
elif message.message_segment.type == "reply":
qq_message_id = message.message_segment.data.get("id")
if qq_message_id:
logger.debug(f"从reply消息段获取到消息ID: {qq_message_id}")
logger.debug(f"从reply消息段获取到消息ID: {qq_message_id}")
elif message.message_segment.type == "adapter_response":
logger.debug("适配器响应消息，不需要更新ID")
return
@@ -197,7 +188,6 @@ class MessageStorage:
f"segment_type={getattr(message.message_segment, 'type', 'N/A')}"
)
@staticmethod
async def replace_image_descriptions(text: str) -> str:
"""将[图片：描述]替换为[picid:image_id]"""
# 先检查文本中是否有图片标记

4
src/chat/planner_actions/action_manager.py
View File

@@ -27,9 +27,9 @@ class ActionManager:
# === 执行Action方法 ===
@staticmethod
def create_action(
self,
action_name: str,
action_name: str,
action_data: dict,
reasoning: str,
cycle_timers: dict,

3
src/chat/planner_actions/action_modifier.py
View File

@@ -243,7 +243,8 @@ class ActionModifier:
return deactivated_actions
def _generate_context_hash(self, chat_content: str) -> str:
@staticmethod
def _generate_context_hash(chat_content: str) -> str:
"""生成上下文的哈希值用于缓存"""
context_content = f"{chat_content}"
return hashlib.md5(context_content.encode("utf-8")).hexdigest()

3
src/chat/planner_actions/plan_executor.py
View File

@@ -27,7 +27,8 @@ class PlanExecutor:
"""
self.action_manager = action_manager
async def execute(self, plan: Plan):
@staticmethod
async def execute(plan: Plan):
"""
遍历并执行 Plan 对象中 `decided_actions` 列表里的所有动作。

15
src/chat/planner_actions/plan_filter.py
View File

@@ -297,15 +297,17 @@ class PlanFilter:
)
return parsed_actions
@staticmethod
def _filter_no_actions(
self, action_list: List[ActionPlannerInfo]
action_list: List[ActionPlannerInfo]
) -> List[ActionPlannerInfo]:
non_no_actions = [a for a in action_list if a.action_type not in ["no_action", "no_reply"]]
if non_no_actions:
return non_no_actions
return action_list[:1] if action_list else []
async def _get_long_term_memory_context(self) -> str:
@staticmethod
async def _get_long_term_memory_context() -> str:
try:
now = datetime.now()
keywords = ["今天", "日程", "计划"]
@@ -329,7 +331,8 @@ class PlanFilter:
logger.error(f"获取长期记忆时出错: {e}")
return "回忆时出现了一些问题。"
async def _build_action_options(self, current_available_actions: Dict[str, ActionInfo]) -> str:
@staticmethod
async def _build_action_options(current_available_actions: Dict[str, ActionInfo]) -> str:
action_options_block = ""
for action_name, action_info in current_available_actions.items():
param_text = ""
@@ -347,7 +350,8 @@ class PlanFilter:
)
return action_options_block
def _find_message_by_id(self, message_id: str, message_id_list: list) -> Optional[Dict[str, Any]]:
@staticmethod
def _find_message_by_id(message_id: str, message_id_list: list) -> Optional[Dict[str, Any]]:
if message_id.isdigit():
message_id = f"m{message_id}"
for item in message_id_list:
@@ -355,7 +359,8 @@ class PlanFilter:
return item.get("message")
return None
def _get_latest_message(self, message_id_list: list) -> Optional[Dict[str, Any]]:
@staticmethod
def _get_latest_message(message_id_list: list) -> Optional[Dict[str, Any]]:
if not message_id_list:
return None
return message_id_list[-1].get("message")

2
src/chat/planner_actions/plan_generator.py
View File

@@ -2,7 +2,7 @@
PlanGenerator: 负责搜集和汇总所有决策所需的信息，生成一个未经筛选的“原始计划” (Plan)。
"""
import time
from typing import Dict, Optional, Tuple
from typing import Dict
from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat
from src.chat.utils.utils import get_chat_type_and_target_info

2
src/chat/planner_actions/planner.py
View File

@@ -8,12 +8,10 @@ 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.common.data_models.info_data_model import ActionPlannerInfo
from src.common.logger import get_logger
from src.plugin_system.base.component_types import ChatMode
# 导入提示词模块以确保其被初始化
from . import planner_prompts
logger = get_logger("planner")

13
src/chat/replyer/default_generator.py
View File

@@ -591,7 +591,8 @@ class DefaultReplyer:
logger.error(f"工具信息获取失败: {e}")
return ""
def _parse_reply_target(self, target_message: str) -> Tuple[str, str]:
@staticmethod
def _parse_reply_target(target_message: str) -> Tuple[str, str]:
"""解析回复目标消息 - 使用共享工具"""
from src.chat.utils.prompt import Prompt
if target_message is None:
@@ -599,7 +600,8 @@ class DefaultReplyer:
return "未知用户", "(无消息内容)"
return Prompt.parse_reply_target(target_message)
async def build_keywords_reaction_prompt(self, target: Optional[str]) -> str:
@staticmethod
async def build_keywords_reaction_prompt(target: Optional[str]) -> str:
"""构建关键词反应提示
Args:
@@ -641,7 +643,8 @@ class DefaultReplyer:
return keywords_reaction_prompt
async def _time_and_run_task(self, coroutine, name: str) -> Tuple[str, Any, float]:
@staticmethod
async def _time_and_run_task(coroutine, name: str) -> Tuple[str, Any, float]:
"""计时并运行异步任务的辅助函数
Args:
@@ -730,9 +733,9 @@ class DefaultReplyer:
return core_dialogue_prompt, all_dialogue_prompt
@staticmethod
def build_mai_think_context(
self,
chat_id: str,
chat_id: str,
memory_block: str,
relation_info: str,
time_block: str,

19
src/chat/utils/prompt.py
View File

@@ -215,6 +215,10 @@ class PromptManager:
result = prompt.format(**kwargs)
return result
@property
def context(self):
return self._context
# 全局单例
global_prompt_manager = PromptManager()
@@ -256,7 +260,7 @@ class Prompt:
self._processed_template = self._process_escaped_braces(template)
# 自动注册
if should_register and not global_prompt_manager._context._current_context:
if should_register and not global_prompt_manager.context._current_context:
global_prompt_manager.register(self)
@staticmethod
@@ -459,8 +463,9 @@ class Prompt:
context_data["chat_info"] = f"""群里的聊天内容：
{self.parameters.chat_talking_prompt_short}"""
@staticmethod
async def _build_s4u_chat_history_prompts(
self, message_list_before_now: List[Dict[str, Any]], target_user_id: str, sender: str
message_list_before_now: List[Dict[str, Any]], target_user_id: str, sender: str
) -> Tuple[str, str]:
"""构建S4U风格的分离对话prompt"""
# 实现逻辑与原有SmartPromptBuilder相同
@@ -537,14 +542,10 @@ class Prompt:
)
# 创建表情选择器
expression_selector = ExpressionSelector(self.parameters.chat_id)
expression_selector = ExpressionSelector()
# 选择合适的表情
selected_expressions = await expression_selector.select_suitable_expressions_llm(
chat_history=chat_history,
current_message=self.parameters.target,
emotional_tone="neutral",
topic_type="general"
)
# 构建表达习惯块
@@ -991,7 +992,7 @@ async def create_prompt_async(
) -> Prompt:
"""异步创建Prompt实例"""
prompt = create_prompt(template, name, parameters, **kwargs)
if global_prompt_manager._context._current_context:
await global_prompt_manager._context.register_async(prompt)
if global_prompt_manager.context._current_context:
await global_prompt_manager.context.register_async(prompt)
return prompt

15
src/chat/utils/statistic.py
View File

@@ -763,7 +763,8 @@ class StatisticOutputTask(AsyncTask):
output.append("")
return "\n".join(output)
def _get_chat_display_name_from_id(self, chat_id: str) -> str:
@staticmethod
def _get_chat_display_name_from_id(chat_id: str) -> str:
"""从chat_id获取显示名称"""
try:
# 首先尝试从chat_stream获取真实群组名称
@@ -1109,7 +1110,8 @@ class StatisticOutputTask(AsyncTask):
return chart_data
def _collect_interval_data(self, now: datetime, hours: int, interval_minutes: int) -> dict:
@staticmethod
def _collect_interval_data(now: datetime, hours: int, interval_minutes: int) -> dict:
"""收集指定时间范围内每个间隔的数据"""
# 生成时间点
start_time = now - timedelta(hours=hours)
@@ -1199,7 +1201,8 @@ class StatisticOutputTask(AsyncTask):
"message_by_chat": message_by_chat,
}
def _generate_chart_tab(self, chart_data: dict) -> str:
@staticmethod
def _generate_chart_tab(chart_data: dict) -> str:
# sourcery skip: extract-duplicate-method, move-assign-in-block
"""生成图表选项卡HTML内容"""
@@ -1563,13 +1566,13 @@ class AsyncStatisticOutputTask(AsyncTask):
return StatisticOutputTask._generate_chart_data(self, stat) # type: ignore
def _collect_interval_data(self, now: datetime, hours: int, interval_minutes: int) -> dict:
return StatisticOutputTask._collect_interval_data(self, now, hours, interval_minutes) # type: ignore
return StatisticOutputTask._collect_interval_data(now, hours, interval_minutes) # type: ignore
def _generate_chart_tab(self, chart_data: dict) -> str:
return StatisticOutputTask._generate_chart_tab(self, chart_data) # type: ignore
return StatisticOutputTask._generate_chart_tab(chart_data) # type: ignore
def _get_chat_display_name_from_id(self, chat_id: str) -> str:
return StatisticOutputTask._get_chat_display_name_from_id(self, chat_id) # type: ignore
return StatisticOutputTask._get_chat_display_name_from_id(chat_id) # type: ignore
def _convert_defaultdict_to_dict(self, data):
return StatisticOutputTask._convert_defaultdict_to_dict(self, data) # type: ignore

5
src/chat/utils/utils.py
View File

@@ -7,7 +7,7 @@ import numpy as np
from collections import Counter
from maim_message import UserInfo
from typing import Optional, Tuple, Dict, List, Any
from typing import Optional, Tuple, Dict, List, Any, Coroutine
from src.common.logger import get_logger
from src.common.message_repository import find_messages, count_messages
@@ -540,7 +540,8 @@ def get_western_ratio(paragraph):
return western_count / len(alnum_chars)
def count_messages_between(start_time: float, end_time: float, stream_id: str) -> tuple[int, int]:
def count_messages_between(start_time: float, end_time: float, stream_id: str) -> tuple[int, int] | tuple[
Coroutine[Any, Any, int], int]:
"""计算两个时间点之间的消息数量和文本总长度
Args:

3
src/chat/utils/utils_image.py
View File

@@ -134,7 +134,8 @@ class ImageManager:
except Exception as e:
logger.error(f"保存描述到数据库失败 (SQLAlchemy): {str(e)}")
async def get_emoji_tag(self, image_base64: str) -> str:
@staticmethod
async def get_emoji_tag(image_base64: str) -> str:
from src.chat.emoji_system.emoji_manager import get_emoji_manager
emoji_manager = get_emoji_manager()

26
src/chat/utils/utils_video.py
View File

@@ -167,7 +167,8 @@ class VideoAnalyzer:
# 获取Rust模块系统信息
self._log_system_info()
def _log_system_info(self):
@staticmethod
def _log_system_info():
"""记录系统信息"""
if not RUST_VIDEO_AVAILABLE:
logger.info("⚠️ Rust模块不可用，跳过系统信息获取")
@@ -196,13 +197,15 @@ class VideoAnalyzer:
except Exception as e:
logger.warning(f"获取系统信息失败: {e}")
def _calculate_video_hash(self, video_data: bytes) -> str:
@staticmethod
def _calculate_video_hash(video_data: bytes) -> str:
"""计算视频文件的hash值"""
hash_obj = hashlib.sha256()
hash_obj.update(video_data)
return hash_obj.hexdigest()
def _check_video_exists(self, video_hash: str) -> Optional[Videos]:
@staticmethod
def _check_video_exists(video_hash: str) -> Optional[Videos]:
"""检查视频是否已经分析过"""
try:
with get_db_session() as session:
@@ -213,8 +216,9 @@ class VideoAnalyzer:
logger.warning(f"检查视频是否存在时出错: {e}")
return None
@staticmethod
def _store_video_result(
self, video_hash: str, description: str, metadata: Optional[Dict] = None
video_hash: str, description: str, metadata: Optional[Dict] = None
) -> Optional[Videos]:
"""存储视频分析结果到数据库"""
# 检查描述是否为错误信息，如果是则不保存
@@ -619,7 +623,7 @@ class VideoAnalyzer:
if self.disabled:
error_msg = "❌ 视频分析功能已禁用：没有可用的视频处理实现"
logger.warning(error_msg)
return (False, error_msg)
return False, error_msg
try:
logger.info(f"开始分析视频: {os.path.basename(video_path)}")
@@ -628,7 +632,7 @@ class VideoAnalyzer:
frames = await self.extract_frames(video_path)
if not frames:
error_msg = "❌ 无法从视频中提取有效帧"
return (False, error_msg)
return False, error_msg
# 根据模式选择分析方法
if self.analysis_mode == "auto":
@@ -645,12 +649,12 @@ class VideoAnalyzer:
result = await self.analyze_frames_sequential(frames, user_question)
logger.info("✅ 视频分析完成")
return (True, result)
return True, result
except Exception as e:
error_msg = f"❌ 视频分析失败: {str(e)}"
logger.error(error_msg)
return (False, error_msg)
return False, error_msg
async def analyze_video_from_bytes(
self, video_bytes: bytes, filename: str = None, user_question: str = None, prompt: str = None
@@ -783,7 +787,8 @@ class VideoAnalyzer:
return {"summary": error_msg}
def is_supported_video(self, file_path: str) -> bool:
@staticmethod
def is_supported_video(file_path: str) -> bool:
"""检查是否为支持的视频格式"""
supported_formats = {".mp4", ".avi", ".mov", ".mkv", ".flv", ".wmv", ".m4v", ".3gp", ".webm"}
return Path(file_path).suffix.lower() in supported_formats
@@ -818,7 +823,8 @@ class VideoAnalyzer:
logger.error(f"获取处理能力信息失败: {e}")
return {"error": str(e), "available": False}
def _get_recommended_settings(self, cpu_features: Dict[str, bool]) -> Dict[str, any]:
@staticmethod
def _get_recommended_settings(cpu_features: Dict[str, bool]) -> Dict[str, any]:
"""根据CPU特性推荐最佳设置"""
settings = {
"use_simd": any(cpu_features.values()),

7
src/chat/utils/utils_video_legacy.py
View File

@@ -13,7 +13,7 @@ import base64
import numpy as np
from PIL import Image
from pathlib import Path
from typing import List, Tuple, Optional
from typing import List, Tuple, Optional, Any
import io
from concurrent.futures import ThreadPoolExecutor
@@ -31,7 +31,7 @@ def _extract_frames_worker(
max_image_size: int,
frame_extraction_mode: str,
frame_interval_seconds: Optional[float],
) -> List[Tuple[str, float]]:
) -> list[Any] | list[tuple[str, str]]:
"""线程池中提取视频帧的工作函数"""
frames = []
try:
@@ -568,7 +568,8 @@ class LegacyVideoAnalyzer:
logger.error(error_msg)
return error_msg
def is_supported_video(self, file_path: str) -> bool:
@staticmethod
def is_supported_video(file_path: str) -> bool:
"""检查是否为支持的视频格式"""
supported_formats = {".mp4", ".avi", ".mov", ".mkv", ".flv", ".wmv", ".m4v", ".3gp", ".webm"}
return Path(file_path).suffix.lower() in supported_formats