resolve indexing hangs and optimize code splitting performance

backend/app/services/rag/splitter.py

@@ -7,6 +7,8 @@ import re
 import asyncio
 import hashlib
 import logging
+import threading
+import time
 from typing import List, Dict, Any, Optional, Tuple, Set
 from dataclasses import dataclass, field
 from enum import Enum
@@ -14,6 +16,9 @@ from pathlib import Path
 
 logger = logging.getLogger(__name__)
 
+# 全局缓存 tiktoken 编码器，避免在 CodeChunk 初始化时重复加载
+_TIKTOKEN_ENCODING = None
+
 
 class ChunkType(Enum):
     """代码块类型"""
@@ -85,12 +90,18 @@ class CodeChunk:
     
     def _estimate_tokens(self) -> int:
         # 使用 tiktoken 如果可用
+        global _TIKTOKEN_ENCODING
         try:
-            import tiktoken
+            if _TIKTOKEN_ENCODING is None:
-            enc = tiktoken.get_encoding("cl100k_base")
+                import tiktoken
-            return len(enc.encode(self.content))
+                _TIKTOKEN_ENCODING = tiktoken.get_encoding("cl100k_base")
+            return len(_TIKTOKEN_ENCODING.encode(self.content))
         except ImportError:
             return len(self.content) // 4
+        except Exception as e:
+            # 避免编码过程中的异常导致整个任务失败
+            logger.debug(f"Token estimation error: {e}")
+            return len(self.content) // 4
     
     def to_dict(self) -> Dict[str, Any]:
         result = {
@@ -254,12 +265,21 @@ class TreeSitterParser:
     }
 
     def __init__(self):
-        self._parsers: Dict[str, Any] = {}
+        # 使用线程本地存储来保存解析器，因为 Tree-sitter Parser 对象不是线程安全的
+        # asyncio.to_thread 会在不同的线程中执行，如果共享同一个 parser 会导致崩溃或挂起
+        self._local = threading.local()
         self._initialized = False
 
+    def _get_parsers(self) -> Dict[str, Any]:
+        """获取当前线程的解析器字典"""
+        if not hasattr(self._local, 'parsers'):
+            self._local.parsers = {}
+        return self._local.parsers
+
     def _ensure_initialized(self, language: str) -> bool:
         """确保语言解析器已初始化"""
-        if language in self._parsers:
+        parsers = self._get_parsers()
+        if language in parsers:
             return True
 
         # 检查语言是否受支持
@@ -271,7 +291,7 @@ class TreeSitterParser:
             from tree_sitter_language_pack import get_parser
 
             parser = get_parser(language)
-            self._parsers[language] = parser
+            parsers[language] = parser
             return True
 
         except ImportError:
@@ -286,7 +306,8 @@ class TreeSitterParser:
         if not self._ensure_initialized(language):
             return None
 
-        parser = self._parsers.get(language)
+        parsers = self._get_parsers()
+        parser = parsers.get(language)
         if not parser:
             return None
 
@@ -497,7 +518,11 @@ class CodeSplitter:
     def detect_language(self, file_path: str) -> str:
         """检测编程语言"""
         ext = Path(file_path).suffix.lower()
-        return TreeSitterParser.LANGUAGE_MAP.get(ext, "text")
+        lang = TreeSitterParser.LANGUAGE_MAP.get(ext, "text")
+        # 针对 .cs 文件，确保映射到 csharp
+        if ext == ".cs":
+            return "csharp"
+        return lang
     
     def split_file(
         self,
@@ -507,21 +532,19 @@ class CodeSplitter:
     ) -> List[CodeChunk]:
         """
         分割单个文件
-        
-        Args:
-            content: 文件内容
-            file_path: 文件路径
-            language: 编程语言（可选）
-            
-        Returns:
-            代码块列表
         """
         if not content or not content.strip():
             return []
         
         if language is None:
             language = self.detect_language(file_path)
+            
+        # 记录开始处理大型文件
+        file_size_kb = len(content) / 1024
+        if file_size_kb > 100:
+            logger.debug(f"Starting to split large file: {file_path} ({file_size_kb:.1f} KB, lang: {language})")
         
+        start_time = time.time()
         chunks = []
         
         try:
@@ -561,6 +584,10 @@ class CodeSplitter:
             # 后处理：使用语义分析增强
             self._enrich_chunks_with_semantics(chunks, content, language)
             
+            if file_size_kb > 100:
+                elapsed = time.time() - start_time
+                logger.debug(f"Finished splitting {file_path}: {len(chunks)} chunks, took {elapsed:.2f}s")
+                
         except Exception as e:
             logger.warning(f"分块失败 {file_path}: {e}, 使用简单分块")
             chunks = self._split_by_lines(content, file_path, language)
@@ -939,12 +966,40 @@ class CodeSplitter:
     
     def _filter_relevant_imports(self, all_imports: List[str], chunk_content: str) -> List[str]:
         """过滤与代码块相关的导入"""
-        relevant = []
+        if not all_imports:
+            return []
+            
+        # 提取导入的末尾部分（通常是类名或模块名）
+        names_map = {}
         for imp in all_imports:
-            module_name = imp.split('.')[-1]
+            name = imp.split('.')[-1]
-            if re.search(rf'\b{re.escape(module_name)}\b', chunk_content):
+            if name:
-                relevant.append(imp)
+                if name not in names_map:
-        return relevant[:20]
+                    names_map[name] = []
+                names_map[name].append(imp)
+        
+        if not names_map:
+            return []
+            
+        # 构建一个综合正则，一次性匹配所有导入名称，效率远高于循环 re.search
+        try:
+            # 限制名称数量，避免正则过大
+            target_names = list(names_map.keys())[:200]
+            pattern = rf"\b({'|'.join(re.escape(name) for name in target_names)})\b"
+            matches = set(re.findall(pattern, chunk_content))
+            
+            relevant = []
+            for m in matches:
+                relevant.extend(names_map[m])
+            return relevant[:20]
+        except Exception:
+            # 回退到简单搜索
+            relevant = []
+            for name, imps in names_map.items():
+                if name in chunk_content:
+                    relevant.extend(imps)
+                    if len(relevant) >= 20: break
+            return relevant[:20]
     
     def _extract_function_calls(self, content: str, language: str) -> List[str]:
         """提取函数调用"""
@@ -979,7 +1034,10 @@ class CodeSplitter:
             ],
             "csharp": [
                 r"(?:class|record|struct|enum|interface)\s+(\w+)",
-                r"[\w<>\[\],\s]+\s+(\w+)\s*\([^)]*\)",
+                # 备用
+                # r"[^\s<>\[\],]+\s+(\w+)\s*\(",
+                # 究极版：支持基础类型、泛型、可空类型 (?)、数组 ([,] [][])、元组返回类型 ((int, string)) 以及构造函数
+                r"(?:(?:(?:[a-zA-Z_][\w.]*(?:<[\w\s,<>]+>)?\??|(?:\([\w\s,<>?]+\)))(?:\[[\s,]*\])*\s+)+)?(\w+)\s*(?:<[\w\s,<>]+>)?\s*\(",
             ],
             "cpp": [
                 r"(?:class|struct)\s+(\w+)",