remove code path prefix if configured

src/know_lang_bot/chat_bot/chat_interface.py

@@ -1,5 +1,6 @@
 from dataclasses import dataclass
 import gradio as gr
+from know_lang_bot.configs.chat_config import ChatConfig
 from know_lang_bot.configs.config import AppConfig
 from know_lang_bot.utils.fancy_log import FancyLogger
 from know_lang_bot.utils.rate_limiter import RateLimiter
@@ -19,32 +20,12 @@ class CodeContext:
     start_line: int
     end_line: int
 
-    def to_title(self) -> str:
+    def to_title(self, config: ChatConfig) -> str:
         """Format code context as a title string"""
-        title = f"📄 {self.file_path} (lines {self.start_line}-{self.end_line})"
+        truncated_file_path = self.file_path[len(config.code_path_prefix):]
+        title = f"📄 {truncated_file_path} (lines {self.start_line}-{self.end_line})"
         return title
     
-    @classmethod
-    def from_title(cls, title: str) -> "CodeContext":
-        """Parse code context from a title string"""
-        try:
-            # Split on first emoji and space
-            parts = title.split("📄 ")[1].split(" ")
-            file_path = parts[0]
-            # Extract line numbers from parentheses
-            line_nums = parts[1].strip("()").split(" ")[1].split("-")
-            start_line = int(line_nums[0])
-            end_line = int(line_nums[1])
-            
-            return cls(
-                file_path=file_path,
-                start_line=start_line,
-                end_line=end_line,
-            )
-        except Exception as e:
-            LOG.error(f"Error parsing code context from title: {e}")
-            return None
-
     @classmethod
     def from_metadata(cls, metadata: Dict) -> "CodeContext":
         """Create code context from metadata dictionary"""
@@ -94,7 +75,7 @@ class CodeQAChatInterface:
         if not code:
             return None
 
-        return f"<details><summary>{context.to_title()}</summary>\n\n```python\n{code}\n```\n\n</details>"
+        return f"<details><summary>{context.to_title(self.config.chat)}</summary>\n\n```python\n{code}\n```\n\n</details>"
     
     def _handle_feedback(self, like_data: gr.LikeData, history: List[ChatMessage], request: gr.Request):
          # Get the query and response pair

src/know_lang_bot/configs/chat_config.py

@@ -3,10 +3,35 @@ from pydantic_settings import BaseSettings
 from enum import Enum
 
 
+class ChatConfig(BaseSettings):
+    max_context_chunks: int = Field(
+        default=5,
+        description="Maximum number of similar chunks to include in context"
+    )
+    similarity_threshold: float = Field(
+        default=0.7,
+        description="Minimum similarity score to include a chunk"
+    )
+    interface_title: str = Field(
+        default="Code Repository Q&A Assistant",
+        description="Title shown in the chat interface"
+    )
+    interface_description: str = Field(
+        default="Ask questions about the codebase and I'll help you understand it!",
+        description="Description shown in the chat interface"
+    )
+    max_length_per_chunk: int = Field(
+        default=8000,
+        description="Maximum number of characters per chunk"
+    )
+    code_path_prefix: str = Field(
+        default="src/",
+        description="Prefix of code paths in the chat interface"
+    )
+
 class AnalyticsProvider(str, Enum):
     MIXPANEL = "mixpanel"
 
-
 class ChatbotAnalyticsConfig(BaseSettings):
     enabled: bool = Field(
         default=False,

src/know_lang_bot/configs/config.py

@@ -4,7 +4,7 @@ from pydantic import Field, field_validator, ValidationInfo
 from pathlib import Path
 import fnmatch
 from know_lang_bot.core.types import ModelProvider
-from know_lang_bot.configs.chat_config import ChatbotAnalyticsConfig
+from know_lang_bot.configs.chat_config import ChatConfig, ChatbotAnalyticsConfig
 import os
 
 def _validate_api_key(v: Optional[str], info: ValidationInfo) -> Optional[str]:
@@ -175,27 +175,6 @@ class RerankerConfig(BaseSettings):
     def validate_api_key(cls, v: Optional[str], info: ValidationInfo) -> Optional[str]:
         return _validate_api_key(v, info)
 
-class ChatConfig(BaseSettings):
-    max_context_chunks: int = Field(
-        default=5,
-        description="Maximum number of similar chunks to include in context"
-    )
-    similarity_threshold: float = Field(
-        default=0.7,
-        description="Minimum similarity score to include a chunk"
-    )
-    interface_title: str = Field(
-        default="Code Repository Q&A Assistant",
-        description="Title shown in the chat interface"
-    )
-    interface_description: str = Field(
-        default="Ask questions about the codebase and I'll help you understand it!",
-        description="Description shown in the chat interface"
-    )
-    max_length_per_chunk: int = Field(
-        default=8000,
-        description="Maximum number of characters per chunk"
-    )
 
 class EvaluatorConfig(LLMConfig):
     evaluation_rounds: int = Field(