ruff

scripts/check_memory_transfer.py

@@ -6,8 +6,8 @@ from pathlib import Path
 project_root = Path(__file__).parent.parent
 sys.path.insert(0, str(project_root))
 
-from src.memory_graph.manager_singleton import get_unified_memory_manager
 from src.common.logger import get_logger
+from src.memory_graph.manager_singleton import get_unified_memory_manager
 
 logger = get_logger("memory_transfer_check")
 
@@ -32,8 +32,8 @@ async def check_short_term_status():
     print(f"📊 当前记忆数量: {stats['total_memories']}/{stats['max_memories']}")
 
     # 计算占用率
-    if stats['max_memories'] > 0:
+    if stats["max_memories"] > 0:
-        occupancy = stats['total_memories'] / stats['max_memories']
+        occupancy = stats["total_memories"] / stats["max_memories"]
         print(f"📈 容量占用率: {occupancy:.1%}")
 
         # 根据占用率给出建议
@@ -103,7 +103,7 @@ async def check_auto_transfer_task():
     manager = get_unified_memory_manager()
 
     # 检查任务是否存在
-    if not hasattr(manager, '_auto_transfer_task') or manager._auto_transfer_task is None:
+    if not hasattr(manager, "_auto_transfer_task") or manager._auto_transfer_task is None:
         print("❌ 自动转移任务未创建！")
         print("\n建议：调用 manager.initialize() 初始化系统")
         return False
@@ -125,12 +125,12 @@ async def check_auto_transfer_task():
     print("✅ 自动转移任务正在运行")
 
     # 检查转移缓存
-    if hasattr(manager, '_transfer_cache'):
+    if hasattr(manager, "_transfer_cache"):
         cache_size = len(manager._transfer_cache) if manager._transfer_cache else 0
         print(f"📦 转移缓存: {cache_size} 条记忆")
 
     # 检查上次转移时间
-    if hasattr(manager, '_last_transfer_time'):
+    if hasattr(manager, "_last_transfer_time"):
         from datetime import datetime
         last_time = manager._last_transfer_time
         if last_time:
@@ -169,7 +169,7 @@ async def manual_transfer_test():
     print("这将把当前符合条件的短期记忆转移到长期记忆")
     response = input("\n是否继续? (y/n): ").strip().lower()
 
-    if response != 'y':
+    if response != "y":
         print("❌ 已取消手动转移")
         return None
 
@@ -180,15 +180,15 @@ async def manual_transfer_test():
         result = await manager.manual_transfer()
 
         print("\n✅ 转移完成！")
-        print(f"\n转移结果：")
+        print("\n转移结果：")
         print(f"  已处理: {result.get('processed_count', 0)} 条")
         print(f"  成功转移: {len(result.get('transferred_memory_ids', []))} 条")
         print(f"  失败: {result.get('failed_count', 0)} 条")
         print(f"  跳过: {result.get('skipped_count', 0)} 条")
 
-        if result.get('errors'):
+        if result.get("errors"):
-            print(f"\n错误信息：")
+            print("\n错误信息：")
-            for error in result['errors'][:3]:  # 只显示前3个错误
+            for error in result["errors"][:3]:  # 只显示前3个错误
                 print(f"  - {error}")
 
         return result

scripts/clear_short_term_memory.py

@@ -17,8 +17,8 @@ from pathlib import Path
 PROJECT_ROOT = Path(__file__).parent.parent
 sys.path.insert(0, str(PROJECT_ROOT))
 
-from src.config.config import global_config  # noqa: E402
+from src.config.config import global_config
-from src.memory_graph.short_term_manager import ShortTermMemoryManager  # noqa: E402
+from src.memory_graph.short_term_manager import ShortTermMemoryManager
 
 
 def resolve_data_dir() -> Path:

src/chat/emoji_system/emoji_manager.py

@@ -12,17 +12,16 @@ from typing import Any, Optional, cast
 
 import json_repair
 from PIL import Image
-from rich.traceback import install
 from sqlalchemy import select
 
 from src.chat.emoji_system.emoji_constants import EMOJI_DIR, EMOJI_REGISTERED_DIR, MAX_EMOJI_FOR_PROMPT
 from src.chat.emoji_system.emoji_entities import MaiEmoji
 from src.chat.emoji_system.emoji_utils import (
     _emoji_objects_to_readable_list,
-    _to_emoji_objects,
     _ensure_emoji_dir,
-    clear_temp_emoji,
+    _to_emoji_objects,
     clean_unused_emojis,
+    clear_temp_emoji,
     list_image_files,
 )
 from src.chat.utils.utils_image import get_image_manager, image_path_to_base64

src/chat/express/expression_learner.py

@@ -578,8 +578,7 @@ class ExpressionLearner:
                         logger.info(f"相同情景覆盖：'{same_situation_expr.situation}' 的表达从 '{same_situation_expr.style}' 更新为 '{style_val}'")
                         # 更新映射
                         old_key = (same_situation_expr.situation, same_situation_expr.style)
-                        if old_key in exact_match_map:
+                        exact_match_map.pop(old_key, None)
-                            del exact_match_map[old_key]
                         same_situation_expr.style = style_val
                         same_situation_expr.count = same_situation_expr.count + 1
                         same_situation_expr.last_active_time = current_time
@@ -591,8 +590,7 @@ class ExpressionLearner:
                         logger.info(f"相同表达覆盖：'{same_style_expr.style}' 的情景从 '{same_style_expr.situation}' 更新为 '{situation}'")
                         # 更新映射
                         old_key = (same_style_expr.situation, same_style_expr.style)
-                        if old_key in exact_match_map:
+                        exact_match_map.pop(old_key, None)
-                            del exact_match_map[old_key]
                         same_style_expr.situation = situation
                         same_style_expr.count = same_style_expr.count + 1
                         same_style_expr.last_active_time = current_time
@@ -627,8 +625,7 @@ class ExpressionLearner:
                         await session.delete(expr)
                         # 从映射中移除
                         key = (expr.situation, expr.style)
-                        if key in exact_match_map:
+                        exact_match_map.pop(key, None)
-                            del exact_match_map[key]
                     logger.debug(f"已删除 {len(all_current_exprs) - MAX_EXPRESSION_COUNT} 个低频表达方式")
 
                 # 提交数据库更改

src/memory_graph/manager.py

@@ -1,4 +1,3 @@
-# ruff: noqa: G004, BLE001
 # pylint: disable=logging-fstring-interpolation,broad-except,unused-argument
 # pyright: reportOptionalMemberAccess=false
 """

src/plugins/built_in/maizone_refactored/plugin.py

@@ -3,7 +3,6 @@ MaiZone（麦麦空间）- 重构版
 """
 
 import asyncio
-from pathlib import Path
 
 from src.common.logger import get_logger
 from src.plugin_system import BasePlugin, ComponentInfo, register_plugin

src/plugins/built_in/maizone_refactored/services/content_service.py

@@ -258,7 +258,7 @@ class ContentService:
 - 运动风："masterpiece, best quality, 1girl, sportswear, running in park, energetic, morning light, trees background, dynamic pose, healthy lifestyle"
 - 咖啡馆："masterpiece, best quality, 1girl, sitting in cozy cafe, holding coffee cup, warm lighting, wooden table, books beside, peaceful atmosphere"
 """
-                output_format = '''{"text": "说说正文内容", "image": {"prompt": "详细的英文提示词（包含画质+主体+场景+氛围+光线+色彩）", "negative_prompt": "负面词", "include_character": true/false, "aspect_ratio": "方图/横图/竖图"}}'''
+                output_format = """{"text": "说说正文内容", "image": {"prompt": "详细的英文提示词（包含画质+主体+场景+氛围+光线+色彩）", "negative_prompt": "负面词", "include_character": true/false, "aspect_ratio": "方图/横图/竖图"}}"""
             elif ai_image_enabled and provider == "siliconflow":
                 novelai_guide = """
 **配图说明：**
@@ -277,7 +277,7 @@ class ContentService:
 - "sunset over the calm ocean, golden hour, orange and purple sky, gentle waves, peaceful and serene mood, wide angle view"
 - "cherry blossoms in spring, soft pink petals falling, blue sky, sunlight filtering through branches, peaceful park scene, gentle breeze"
 """
-                output_format = '''{"text": "说说正文内容", "image": {"prompt": "详细的英文描述（主体+场景+氛围+光线+细节）"}}'''
+                output_format = """{"text": "说说正文内容", "image": {"prompt": "详细的英文描述（主体+场景+氛围+光线+细节）"}}"""
 
             prompt = f"""
 {personality_desc}

src/plugins/built_in/maizone_refactored/services/novelai_service.py

@@ -2,14 +2,11 @@
 NovelAI图片生成服务 - 空间插件专用
 独立实现，不依赖其他插件
 """
-import asyncio
+import io
-import base64
 import random
 import uuid
 import zipfile
-import io
 from pathlib import Path
-from typing import Optional
 
 import aiohttp
 from PIL import Image
@@ -60,11 +57,11 @@ class MaiZoneNovelAIService:
     async def generate_image_from_prompt_data(
         self,
         prompt: str,
-        negative_prompt: Optional[str] = None,
+        negative_prompt: str | None = None,
         include_character: bool = False,
         width: int = 1024,
         height: int = 1024
-    ) -> tuple[bool, Optional[Path], str]:
+    ) -> tuple[bool, Path | None, str]:
         """根据提示词生成图片
         
         Args:
@@ -85,7 +82,7 @@ class MaiZoneNovelAIService:
             final_prompt = prompt
             if include_character and self.character_prompt:
                 final_prompt = f"{self.character_prompt}, {prompt}"
-                logger.info(f"包含角色形象，添加角色提示词")
+                logger.info("包含角色形象，添加角色提示词")
 
             # 合并负面提示词
             final_negative = self.base_negative_prompt
@@ -95,7 +92,7 @@ class MaiZoneNovelAIService:
                 else:
                     final_negative = negative_prompt
 
-            logger.info(f"🎨 开始生成图片...")
+            logger.info("🎨 开始生成图片...")
             logger.info(f"  尺寸: {width}x{height}")
             logger.info(f"  正面提示词: {final_prompt[:100]}...")
             logger.info(f"  负面提示词: {final_negative[:100]}...")
@@ -118,7 +115,7 @@ class MaiZoneNovelAIService:
 
         except Exception as e:
             logger.error(f"生成图片时出错: {e}", exc_info=True)
-            return False, None, f"生成失败: {str(e)}"
+            return False, None, f"生成失败: {e!s}"
 
     def _build_payload(self, prompt: str, negative_prompt: str, width: int, height: int) -> dict:
         """构建NovelAI API请求payload"""
@@ -197,7 +194,7 @@ class MaiZoneNovelAIService:
 
         return payload
 
-    async def _call_novelai_api(self, payload: dict) -> Optional[bytes]:
+    async def _call_novelai_api(self, payload: dict) -> bytes | None:
         """调用NovelAI API"""
         headers = {
             "Authorization": f"Bearer {self.api_key}",
@@ -228,10 +225,10 @@ class MaiZoneNovelAIService:
                     logger.info(f"收到响应数据: {len(img_data)} bytes")
 
                     # 检查是否是ZIP文件
-                    if img_data[:4] == b'PK\x03\x04':
+                    if img_data[:4] == b"PK\x03\x04":
                         logger.info("检测到ZIP格式，解压中...")
                         return self._extract_from_zip(img_data)
-                    elif img_data[:4] == b'\x89PNG':
+                    elif img_data[:4] == b"\x89PNG":
                         logger.info("检测到PNG格式")
                         return img_data
                     else:
@@ -242,12 +239,12 @@ class MaiZoneNovelAIService:
             logger.error(f"API调用失败: {e}", exc_info=True)
             return None
 
-    def _extract_from_zip(self, zip_data: bytes) -> Optional[bytes]:
+    def _extract_from_zip(self, zip_data: bytes) -> bytes | None:
         """从ZIP中提取PNG"""
         try:
             with zipfile.ZipFile(io.BytesIO(zip_data)) as zf:
                 for filename in zf.namelist():
-                    if filename.lower().endswith('.png'):
+                    if filename.lower().endswith(".png"):
                         img_data = zf.read(filename)
                         logger.info(f"从ZIP提取: {filename} ({len(img_data)} bytes)")
                         return img_data
@@ -257,7 +254,7 @@ class MaiZoneNovelAIService:
             logger.error(f"解压ZIP失败: {e}")
             return None
 
-    async def _save_image(self, image_data: bytes) -> Optional[Path]:
+    async def _save_image(self, image_data: bytes) -> Path | None:
         """保存图片到本地"""
         try:
             filename = f"novelai_{uuid.uuid4().hex[:12]}.png"

src/plugins/built_in/maizone_refactored/services/qzone_service.py

@@ -5,7 +5,6 @@ QQ空间服务模块
 
 import asyncio
 import base64
-import os
 import random
 import time
 from collections.abc import Callable
@@ -114,7 +113,7 @@ class QZoneService:
                         }
                         width, height = size_map.get(aspect_ratio, (1024, 1024))
 
-                        logger.info(f"🎨 开始生成NovelAI配图...")
+                        logger.info("🎨 开始生成NovelAI配图...")
                         success, img_path, msg = await novelai_service.generate_image_from_prompt_data(
                             prompt=image_info.get("prompt", ""),
                             negative_prompt=image_info.get("negative_prompt"),
@@ -125,7 +124,7 @@ class QZoneService:
 
                         if success and img_path:
                             image_path = img_path
-                            logger.info(f"✅ NovelAI配图生成成功")
+                            logger.info("✅ NovelAI配图生成成功")
                         else:
                             logger.warning(f"⚠️ NovelAI配图生成失败: {msg}")
                     else:
@@ -143,9 +142,9 @@ class QZoneService:
                     )
                     if success and img_path:
                         image_path = img_path
-                        logger.info(f"✅ 硅基流动配图生成成功")
+                        logger.info("✅ 硅基流动配图生成成功")
                     else:
-                        logger.warning(f"⚠️ 硅基流动配图生成失败")
+                        logger.warning("⚠️ 硅基流动配图生成失败")
                 except Exception as e:
                     logger.error(f"硅基流动配图生成出错: {e}", exc_info=True)
         else:
@@ -167,7 +166,7 @@ class QZoneService:
             try:
                 with open(image_path, "rb") as f:
                     images_bytes.append(f.read())
-                logger.info(f"添加AI配图到说说")
+                logger.info("添加AI配图到说说")
             except Exception as e:
                 logger.error(f"读取AI配图失败: {e}")