refactor: 代码结构优化与常量化

将日志系统从 app/logger/ 移至 app/log/ 目录
将路由配置从 routers.py 重命名为 routes.py
将硬编码配置值移至 constants.py 中的默认常量
统一代码格式和导入排序
优化函数参数对齐方式

app/handler/stream_optimizer.py

@@ -2,10 +2,17 @@
 
 import asyncio
 import math
-from typing import Any, List, AsyncGenerator, Callable
-from app.logger.logger import get_openai_logger, get_gemini_logger
+from typing import Any, AsyncGenerator, Callable, List
+
 from app.config.config import settings
-from app.core.constants import DEFAULT_STREAM_CHUNK_SIZE, DEFAULT_STREAM_LONG_TEXT_THRESHOLD, DEFAULT_STREAM_MAX_DELAY, DEFAULT_STREAM_MIN_DELAY, DEFAULT_STREAM_SHORT_TEXT_THRESHOLD
+from app.core.constants import (
+    DEFAULT_STREAM_CHUNK_SIZE,
+    DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
+    DEFAULT_STREAM_MAX_DELAY,
+    DEFAULT_STREAM_MIN_DELAY,
+    DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
+)
+from app.log.logger import get_gemini_logger, get_openai_logger
 
 logger_openai = get_openai_logger()
 logger_gemini = get_gemini_logger()
@@ -13,19 +20,21 @@ logger_gemini = get_gemini_logger()
 
 class StreamOptimizer:
     """流式输出优化器
-    
+
     提供流式输出优化功能，包括智能延迟调整和长文本分块输出。
     """
-    
-    def __init__(self, 
-                 logger=None, 
-                 min_delay: float = DEFAULT_STREAM_MIN_DELAY, 
-                 max_delay: float = DEFAULT_STREAM_MAX_DELAY,
-                 short_text_threshold: int = DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
-                 long_text_threshold: int = DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
-                 chunk_size: int = DEFAULT_STREAM_CHUNK_SIZE):
+
+    def __init__(
+        self,
+        logger=None,
+        min_delay: float = DEFAULT_STREAM_MIN_DELAY,
+        max_delay: float = DEFAULT_STREAM_MAX_DELAY,
+        short_text_threshold: int = DEFAULT_STREAM_SHORT_TEXT_THRESHOLD,
+        long_text_threshold: int = DEFAULT_STREAM_LONG_TEXT_THRESHOLD,
+        chunk_size: int = DEFAULT_STREAM_CHUNK_SIZE,
+    ):
         """初始化流式输出优化器
-        
+
         参数:
             logger: 日志记录器
             min_delay: 最小延迟时间（秒）
@@ -40,13 +49,13 @@ class StreamOptimizer:
         self.short_text_threshold = short_text_threshold
         self.long_text_threshold = long_text_threshold
         self.chunk_size = chunk_size
-    
+
     def calculate_delay(self, text_length: int) -> float:
         """根据文本长度计算延迟时间
-        
+
         参数:
             text_length: 文本长度
-            
+
         返回:
             延迟时间（秒）
         """
@@ -59,42 +68,48 @@ class StreamOptimizer:
         else:
             # 中等长度文本使用线性插值计算延迟
             # 使用对数函数使延迟变化更平滑
-            ratio = math.log(text_length / self.short_text_threshold) / math.log(self.long_text_threshold / self.short_text_threshold)
+            ratio = math.log(text_length / self.short_text_threshold) / math.log(
+                self.long_text_threshold / self.short_text_threshold
+            )
             return self.max_delay - ratio * (self.max_delay - self.min_delay)
-    
+
     def split_text_into_chunks(self, text: str) -> List[str]:
         """将文本分割成小块
-        
+
         参数:
             text: 要分割的文本
-            
+
         返回:
             文本块列表
         """
-        return [text[i:i+self.chunk_size] for i in range(0, len(text), self.chunk_size)]
-    
-    async def optimize_stream_output(self, 
-                                    text: str, 
-                                    create_response_chunk: Callable[[str], Any],
-                                    format_chunk: Callable[[Any], str]) -> AsyncGenerator[str, None]:
+        return [
+            text[i : i + self.chunk_size] for i in range(0, len(text), self.chunk_size)
+        ]
+
+    async def optimize_stream_output(
+        self,
+        text: str,
+        create_response_chunk: Callable[[str], Any],
+        format_chunk: Callable[[Any], str],
+    ) -> AsyncGenerator[str, None]:
         """优化流式输出
-        
+
         参数:
             text: 要输出的文本
             create_response_chunk: 创建响应块的函数，接收文本，返回响应块
             format_chunk: 格式化响应块的函数，接收响应块，返回格式化后的字符串
-            
+
         返回:
             异步生成器，生成格式化后的响应块
         """
         if not text:
             return
-            
+
         # 计算智能延迟时间
         delay = self.calculate_delay(len(text))
         if self.logger:
             self.logger.info(f"Text length: {len(text)}, delay: {delay:.4f}s")
-        
+
         # 根据文本长度决定输出方式
         if len(text) >= self.long_text_threshold:
             # 长文本：分块输出
@@ -120,7 +135,7 @@ openai_optimizer = StreamOptimizer(
     max_delay=settings.STREAM_MAX_DELAY,
     short_text_threshold=settings.STREAM_SHORT_TEXT_THRESHOLD,
     long_text_threshold=settings.STREAM_LONG_TEXT_THRESHOLD,
-    chunk_size=settings.STREAM_CHUNK_SIZE
+    chunk_size=settings.STREAM_CHUNK_SIZE,
 )
 
 gemini_optimizer = StreamOptimizer(
@@ -129,5 +144,5 @@ gemini_optimizer = StreamOptimizer(
     max_delay=settings.STREAM_MAX_DELAY,
     short_text_threshold=settings.STREAM_SHORT_TEXT_THRESHOLD,
     long_text_threshold=settings.STREAM_LONG_TEXT_THRESHOLD,
-    chunk_size=settings.STREAM_CHUNK_SIZE
+    chunk_size=settings.STREAM_CHUNK_SIZE,
 )