添加报错和日志

bot.py

@@ -7,6 +7,10 @@ from nonebot.adapters.discord import Adapter as DiscordAdapter
 from nonebot.adapters.minecraft import Adapter as MinecraftAdapter
 from nonebot.adapters.onebot.v11 import Adapter as OnebotAdapter
 
+from konabot.common.log import init_logger
+from konabot.common.nb.exc import BotExceptionMessage
+from konabot.common.path import LOG_PATH
+
 dotenv.load_dotenv()
 env = os.environ.get("ENVIRONMENT", "prod")
 env_enable_console = os.environ.get("ENABLE_CONSOLE", "none")
@@ -14,7 +18,12 @@ env_enable_qq = os.environ.get("ENABLE_QQ", "none")
 env_enable_discord = os.environ.get("ENABLE_DISCORD", "none")
 env_enable_minecraft = os.environ.get("ENABLE_MINECRAFT", "none")
 
+
 def main():
+    init_logger(LOG_PATH, [
+        BotExceptionMessage,
+    ])
+
     nonebot.init()
 
     driver = nonebot.get_driver()

konabot/common/log.py

@@ -0,0 +1,79 @@
+import sys
+from pathlib import Path
+from typing import TYPE_CHECKING, List, Type
+
+from loguru import logger
+
+if TYPE_CHECKING:
+    from loguru import Record
+
+
+def file_exception_filter(
+    record: "Record", 
+    ignored_exceptions: tuple[Type[Exception], ...]
+) -> bool:
+    """
+    一个自定义的 Loguru 过滤器函数。
+    如果日志记录包含异常信息，并且该异常的类型在 ignored_exceptions 中，则返回 False（忽略）。
+    否则，返回 True（允许记录）。
+    """
+    exception_info = record.get("exception")
+    
+    if exception_info:
+        exception_type = exception_info[0]
+
+        if exception_type and issubclass(exception_type, ignored_exceptions):
+            return False
+
+    return True
+
+
+def init_logger(
+    log_dir: Path, 
+    ignored_exceptions: List[Type[Exception]]
+) -> None:
+    """
+    配置全局 Loguru Logger。
+
+    Args:
+        log_dir (Path): 存放日志文件的文件夹路径，会自动创建。
+        ignored_exceptions (List[Type[Exception]]): 在 WARNING 级别文件日志中需要忽略的异常类型列表。
+    """
+
+    ignored_exceptions_tuple = tuple(ignored_exceptions)
+    logger.remove()
+
+    log_dir.mkdir(parents=True, exist_ok=True)
+
+    logger.add(
+        sys.stderr,
+        level="INFO",
+        colorize=True,
+        format="<green>{time:HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>",
+    )
+
+    info_log_path = log_dir / "log.log"
+    logger.add(
+        str(info_log_path),
+        level="INFO",
+        rotation="10 MB",
+        retention="7 days",
+        enqueue=True,
+        backtrace=False,
+        diagnose=False,
+    )
+
+    warning_error_log_path = log_dir / "error.log"
+    logger.add(
+        str(warning_error_log_path),
+        level="WARNING",
+        rotation="10 MB",
+        compression="zip",
+        enqueue=True,
+        filter=lambda record: file_exception_filter(record, ignored_exceptions_tuple),
+        backtrace=True,
+        diagnose=True,
+    )
+
+    logger.info("Loguru Logger 初始化完成！")
+    logger.info(f"控制台日志级别: INFO")

konabot/common/path.py

@@ -4,6 +4,8 @@ ASSETS_PATH = Path(__file__).resolve().parent.parent.parent / "assets"
 FONTS_PATH = ASSETS_PATH / "fonts"
 
 SRC_PATH = Path(__file__).resolve().parent.parent
+DATA_PATH = SRC_PATH.parent / "data"
+LOG_PATH = DATA_PATH / "logs"
 
 DOCS_PATH = SRC_PATH / "docs"
 DOCS_PATH_MAN1 = DOCS_PATH / "user"

konabot/plugins/image_process/__init__.py

@@ -141,17 +141,61 @@ async def _(
     output_img = BytesIO()
 
     adjusted_durations = [
-        max(10, int(dur / speed_factor)) for dur in selected_durations
+        dur / speed_factor for dur in selected_durations
     ]
 
-    if selected_frames:
-        selected_frames[0].save(
+    rframes = []
+    rdur = []
+
+    acc_mod_20 = 0
+
+    for i in range(len(selected_frames)):
+        fr = selected_frames[i]
+        du: float = adjusted_durations[i]
+
+        if du >= 20:
+            rframes.append(fr)
+            rdur.append(int(du))
+            acc_mod_20 = 0
+        else:
+            if acc_mod_20 == 0:
+                rframes.append(fr)
+                rdur.append(20)
+                acc_mod_20 += du
+            else:
+                acc_mod_20 += du
+                if acc_mod_20 >= 20:
+                    acc_mod_20 = 0
+
+    if len(rframes) == 1 and len(selected_frames) > 1:
+        rframes.append(selected_frames[max(2, len(selected_frames) // 2)])
+        rdur.append(20)
+
+    transparency_flag = False
+    for f in rframes:
+        if f.mode == "RGBA":
+            if any(pix < 255 for pix in f.getchannel("A").getdata()):
+                transparency_flag = True
+                break
+        elif f.mode == "P" and "transparency" in f.info:
+            transparency_flag = True
+            break
+
+    tf = {}
+    if transparency_flag:
+        tf['transparency'] = 0
+
+    if rframes:
+        rframes[0].save(
             output_img,
             format="GIF",
             save_all=True,
-            append_images=selected_frames[1:],
-            duration=adjusted_durations,
+            append_images=rframes[1:],
+            duration=rdur,
             loop=0,
+            optimize=False,
+            disposal=2,
+            **tf,
         )
     else:
         raise BotExceptionMessage("错误：没有可输出的帧")