chore: Remove unnecessary helper scripts

app_multimode_integration.py

@@ -1,98 +0,0 @@
-"""
-Enhanced app.py with multi-mode interface integration.
-
-This file adds the mode selector and conditional rendering.
-Add this code after line 520 in app.py (after the caption).
-"""
-
-# Add this import at the top of app.py (around line 11)
-# from components.multi_mode import render_mode_selector, render_chat_mode, render_search_mode, render_refactor_mode, render_generate_mode
-
-# Replace lines 523-615 with this code:
-
-if not st.session_state.processed_files:
-    st.info("👈 Please upload and index a ZIP file to start.")
-else:
-    # Get selected mode (defaults to chat)
-    selected_mode = st.session_state.get("mode_selector", "💬 Chat")
-    
-    # Only render chat interface in chat mode
-    if selected_mode == "💬 Chat":
-        # Display History
-        for msg in st.session_state.messages:
-            with st.chat_message(msg["role"]):
-                # Render Sources if available
-                if "sources" in msg and msg["sources"]:
-                    unique_sources = {}
-                    for s in msg["sources"]:
-                        if isinstance(s, dict):
-                            fp = s.get('file_path', 'Unknown')
-                        else:
-                            fp = str(s)
-                        if fp not in unique_sources:
-                            unique_sources[fp] = s
-
-                    chips_html = '<div class="source-container" style="display: flex; gap: 8px; flex-wrap: wrap; margin-bottom: 10px;">'
-                    for fp in unique_sources:
-                        basename = os.path.basename(fp) if "/" in fp else fp
-                        chips_html += f"""
-                        <div class="source-chip" style="background: rgba(30, 41, 59, 0.4); border: 1px solid rgba(148, 163, 184, 0.2); border-radius: 6px; padding: 4px 10px; font-size: 0.85em; color: #cbd5e1; display: flex; align-items: center; gap: 6px;">
-                            <span class="source-icon">📄</span> {basename}
-                        </div>
-                        """
-                    chips_html += '</div>'
-                    st.markdown(chips_html, unsafe_allow_html=True)
-                
-                st.markdown(msg["content"], unsafe_allow_html=True)
-
-        # Handle pending prompt from suggestions
-        if "pending_prompt" in st.session_state and st.session_state.pending_prompt:
-            prompt = st.session_state.pending_prompt
-            st.session_state.pending_prompt = None
-        else:
-            prompt = st.chat_input("How does the authentication work?")
-        
-        if prompt:
-            st.session_state.messages.append({"role": "user", "content": prompt})
-            with st.chat_message("user"):
-                st.markdown(prompt)
-
-            with st.chat_message("assistant"):
-                if st.session_state.chat_engine:
-                    with st.spinner("Analyzing (Graph+Vector)..."):
-                        answer_payload = st.session_state.chat_engine.chat(prompt)
-                        
-                        if isinstance(answer_payload, tuple):
-                            answer, sources = answer_payload
-                        else:
-                            answer = answer_payload
-                            sources = []
-                            
-                        if sources:
-                            unique_sources = {}
-                            for s in sources:
-                                fp = s.get('file_path', 'Unknown')
-                                if fp not in unique_sources:
-                                    unique_sources[fp] = s
-                            
-                            chips_html = '<div class="source-container">'
-                            for fp in unique_sources:
-                                basename = os.path.basename(fp) 
-                                chips_html += f"""
-                                <div class="source-chip">
-                                    <span class="source-icon">📄</span> {basename}
-                                </div>
-                                """
-                            chips_html += '</div>'
-                            st.markdown(chips_html, unsafe_allow_html=True)
-
-                        st.markdown(answer)
-                        
-                        msg_data = {
-                            "role": "assistant", 
-                            "content": answer,
-                            "sources": sources if sources else []
-                        }
-                        st.session_state.messages.append(msg_data)
-                else:
-                    st.error("Chat engine not initialized. Please re-index.")

demo_mcp_crewai.py

@@ -1,187 +0,0 @@
-"""
-Demo script for MCP and CrewAI integration.
-
-Shows how to use the new refactoring and multi-agent capabilities.
-"""
-
-import os
-import sys
-from pathlib import Path
-
-# Add project root to path
-sys.path.insert(0, str(Path(__file__).parent))
-
-from code_chatbot.mcp_client import MCPClient
-from code_chatbot.crews import RefactoringCrew, CodeReviewCrew
-from langchain_google_genai import ChatGoogleGenerativeAI
-
-
-def demo_mcp_search():
-    """Demo: Search for code patterns using MCP"""
-    print("\n" + "="*60)
-    print("DEMO 1: MCP Code Search")
-    print("="*60)
-    
-    # Create MCP client
-    client = MCPClient(workspace_root=".")
-    
-    # Search for all class definitions
-    print("\n🔍 Searching for class definitions...")
-    results = client.search_code(
-        pattern=r"class\s+(\w+)",
-        file_pattern="code_chatbot/*.py",
-        context_lines=1
-    )
-    
-    # Format and display results
-    print(client.format_search_results(results, max_results=5))
-
-
-def demo_mcp_refactor():
-    """Demo: Preview a refactoring using MCP"""
-    print("\n" + "="*60)
-    print("DEMO 2: MCP Code Refactoring (Dry Run)")
-    print("="*60)
-    
-    # Create MCP client
-    client = MCPClient(workspace_root=".")
-    
-    # Preview refactoring: print -> logger.info
-    print("\n🔧 Previewing refactoring: print() -> logger.info()...")
-    result = client.refactor_code(
-        search_pattern=r'print\((.*)\)',
-        replace_pattern=r'logger.info(\1)',
-        file_pattern="code_chatbot/mcp_*.py",
-        dry_run=True  # Preview only, don't apply
-    )
-    
-    # Format and display result
-    print(client.format_refactor_result(result))
-
-
-def demo_mcp_suggestions():
-    """Demo: Get refactoring suggestions using MCP"""
-    print("\n" + "="*60)
-    print("DEMO 3: MCP Refactoring Suggestions")
-    print("="*60)
-    
-    # Create MCP client
-    client = MCPClient(workspace_root=".")
-    
-    # Get suggestions for a file
-    print("\n💡 Analyzing code_chatbot/mcp_server.py for refactoring opportunities...")
-    suggestions = client.suggest_refactorings(
-        file_path="code_chatbot/mcp_server.py",
-        max_suggestions=3
-    )
-    
-    # Format and display suggestions
-    print(client.format_suggestions(suggestions))
-
-
-def demo_crewai_refactoring():
-    """Demo: Use CrewAI multi-agent refactoring"""
-    print("\n" + "="*60)
-    print("DEMO 4: CrewAI Multi-Agent Refactoring")
-    print("="*60)
-    
-    # Check for API key
-    if not os.getenv("GOOGLE_API_KEY"):
-        print("\n⚠️  Skipping CrewAI demo: GOOGLE_API_KEY not set")
-        print("   Set your API key to run multi-agent workflows")
-        return
-    
-    # Create LLM
-    llm = ChatGoogleGenerativeAI(
-        model="gemini-2.0-flash-exp",
-        google_api_key=os.getenv("GOOGLE_API_KEY")
-    )
-    
-    # Create refactoring crew
-    print("\n🤖 Creating refactoring crew (Analyst + Refactor + Reviewer)...")
-    crew = RefactoringCrew(llm=llm)
-    
-    # Run crew on a file
-    print("\n🚀 Running crew on code_chatbot/mcp_client.py...")
-    print("   (This may take 30-60 seconds...)\n")
-    
-    try:
-        result = crew.run(file_path="code_chatbot/mcp_client.py")
-        
-        print("\n✅ Crew execution complete!")
-        print(f"   Tasks completed: {result['tasks_completed']}")
-        print(f"\n📋 Result:\n{result['result']}")
-    
-    except Exception as e:
-        print(f"\n❌ Crew execution failed: {e}")
-
-
-def demo_crewai_review():
-    """Demo: Use CrewAI multi-agent code review"""
-    print("\n" + "="*60)
-    print("DEMO 5: CrewAI Multi-Agent Code Review")
-    print("="*60)
-    
-    # Check for API key
-    if not os.getenv("GOOGLE_API_KEY"):
-        print("\n⚠️  Skipping CrewAI demo: GOOGLE_API_KEY not set")
-        return
-    
-    # Create LLM
-    llm = ChatGoogleGenerativeAI(
-        model="gemini-2.0-flash-exp",
-        google_api_key=os.getenv("GOOGLE_API_KEY")
-    )
-    
-    # Create code review crew
-    print("\n🤖 Creating code review crew (Analyst + Reviewer + Documentation)...")
-    crew = CodeReviewCrew(llm=llm)
-    
-    # Run crew on a file
-    print("\n🚀 Running crew on code_chatbot/mcp_server.py...")
-    print("   (This may take 30-60 seconds...)\n")
-    
-    try:
-        result = crew.run(file_path="code_chatbot/mcp_server.py")
-        
-        print("\n✅ Crew execution complete!")
-        print(f"   Tasks completed: {result['tasks_completed']}")
-        print(f"\n📋 Result:\n{result['result']}")
-    
-    except Exception as e:
-        print(f"\n❌ Crew execution failed: {e}")
-
-
-def main():
-    """Run all demos"""
-    print("\n" + "="*60)
-    print("🚀 MCP + CrewAI Integration Demo")
-    print("="*60)
-    print("\nThis demo showcases:")
-    print("  1. MCP Code Search - Find patterns in your codebase")
-    print("  2. MCP Refactoring - Preview/apply code changes")
-    print("  3. MCP Suggestions - Get AI-powered refactoring ideas")
-    print("  4. CrewAI Refactoring - Multi-agent automated refactoring")
-    print("  5. CrewAI Code Review - Multi-agent code review")
-    
-    # Run MCP demos (no API key needed)
-    demo_mcp_search()
-    demo_mcp_refactor()
-    demo_mcp_suggestions()
-    
-    # Run CrewAI demos (requires API key)
-    demo_crewai_refactoring()
-    demo_crewai_review()
-    
-    print("\n" + "="*60)
-    print("✅ Demo Complete!")
-    print("="*60)
-    print("\nNext steps:")
-    print("  - Try the MCP tools in your own code")
-    print("  - Customize agent roles and workflows")
-    print("  - Integrate with Streamlit UI")
-    print("  - Add more specialized agents")
-
-
-if __name__ == "__main__":
-    main()

integrate_multimode.py

@@ -1,114 +0,0 @@
-#!/usr/bin/env python3
-"""
-Quick integration script for multi-mode interface.
-
-This script will help you integrate the multi-mode interface into app.py.
-"""
-
-import sys
-
-def show_integration_steps():
-    """Display integration steps"""
-    
-    print("""
-╔══════════════════════════════════════════════════════════════════════════╗
-║                  Multi-Mode Interface Integration                        ║
-╚══════════════════════════════════════════════════════════════════════════╝
-
-✅ Components Created:
-   - components/multi_mode.py (Chat, Search, Refactor, Generate modes)
-   - Verified imports work correctly
-
-📋 Integration Steps:
-
-STEP 1: Add Import to app.py
-────────────────────────────────────────────────────────────────────────────
-Add this import after line 11 in app.py:
-
-    from components.multi_mode import (
-        render_mode_selector,
-        render_chat_mode,
-        render_search_mode,
-        render_refactor_mode,
-        render_generate_mode
-    )
-
-
-STEP 2: Add Mode Selector
-────────────────────────────────────────────────────────────────────────────
-Replace lines 489-491 in app.py with:
-
-    # Main Chat Interface
-    st.title("🕷️ Code Crawler")
-    
-    # Multi-Mode Interface
-    if st.session_state.processed_files:
-        selected_mode = render_mode_selector()
-        st.divider()
-        
-        # Render appropriate interface based on mode
-        if selected_mode == "search":
-            render_search_mode()
-        elif selected_mode == "refactor":
-            render_refactor_mode()
-        elif selected_mode == "generate":
-            render_generate_mode(st.session_state.chat_engine)
-        else:  # chat mode
-            render_chat_mode(st.session_state.chat_engine)
-            st.caption(f"Ask questions about your uploaded project. (Using {provider}, Enhanced with AST)")
-    else:
-        st.caption(f"Configure and index your codebase to get started. (Using {provider}, Enhanced with AST)")
-
-
-STEP 3: Wrap Chat Interface
-────────────────────────────────────────────────────────────────────────────
-Add this check before line 526 (before "# Display History"):
-
-    # Only show chat history in chat mode
-    selected_mode = st.session_state.get("mode_selector", "💬 Chat")
-    if selected_mode == "💬 Chat":
-
-
-And indent all the chat code (lines 526-614) by 4 spaces.
-
-
-STEP 4: Test the Integration
-────────────────────────────────────────────────────────────────────────────
-Run your Streamlit app:
-
-    streamlit run app.py
-
-You should see:
-✅ Mode selector with 4 buttons: 💬 Chat | 🔍 Search | 🔧 Refactor | ✨ Generate
-✅ Chat mode works as before
-✅ Search mode shows MCP code search interface
-✅ Refactor mode shows MCP refactoring interface
-✅ Generate mode shows CrewAI feature generation interface
-
-
-🎯 Quick Test Commands:
-────────────────────────────────────────────────────────────────────────────
-1. Chat Mode: Ask "Explain how authentication works"
-2. Search Mode: Pattern "class\\s+(\\w+)", File Pattern "**/*.py"
-3. Refactor Mode: Search "print\\((.*)\)", Replace "logger.info(\\1)", Dry Run ✓
-4. Generate Mode: "Create a REST API endpoint for user management"
-
-
-📚 Documentation:
-────────────────────────────────────────────────────────────────────────────
-See the walkthrough for detailed usage:
-    multimode_walkthrough.md
-
-
-💡 Need Help?
-────────────────────────────────────────────────────────────────────────────
-If you encounter issues:
-1. Check that components/multi_mode.py exists
-2. Verify imports work: python3 -c "from components.multi_mode import render_mode_selector"
-3. Check Streamlit logs for errors
-4. Ensure MCP and CrewAI dependencies are installed
-
-""")
-
-if __name__ == "__main__":
-    show_integration_steps()