import GPTDriveIntegration
import gradio as gr

gpt_drive = GPTDriveIntegration()

def process_user_query(query, search_terms_input):
    """Process user query and return formatted response"""
    if not query.strip():
        return "Please enter a question.", ""
    
    # Parse search terms if provided
    search_terms = None
    # if search_terms_input.strip():
    #     search_terms = [term.strip() for term in search_terms_input.split(',')]
    
    # Process the query
    result = gpt_drive.process_query(query, search_terms)
    
    # Format the response
    answer = result['answer']
    sources = result['sources']
    
    sources_text = ""
    if sources:
        sources_text = "**Sources used:**\n" + "\n".join([f"• {source}" for source in sources])
    
    return answer, sources_text

def check_setup():
    """Check if the APIs are properly configured"""
    status_messages = []
    
    # Check Google Drive API
    if gpt_drive.drive_initialized:
        status_messages.append("✅ Google Drive API: Connected")
    else:
        status_messages.append(f"❌ Google Drive API: {getattr(gpt_drive, 'drive_error', 'Not configured')}")
    
    # Check OpenAI API
    if gpt_drive.openai_initialized:
        status_messages.append("✅ OpenAI API: Connected")
    else:
        status_messages.append(f"❌ OpenAI API: {getattr(gpt_drive, 'openai_error', 'Not configured')}")
    
    return "\n".join(status_messages)

# Create Gradio interface
with gr.Blocks(title="Augusta's Anatomy Reading Assistant", theme=gr.themes.Soft()) as app:
    gr.Markdown("# 🤖 Augusta's Anatomy bot")
    gr.Markdown("Ask questions about your anatomy books using AI!")
    
    with gr.Row():
        with gr.Column(scale=2):
            # Main query interface
            with gr.Group():
                gr.Markdown("### Ask a Question")
                query_input = gr.Textbox(
                    label="Your Question",
                    placeholder="Ask me any question about your anatomy books?",
                    lines=3
                )
                
                search_terms_input = gr.Textbox(
                    label="Search Terms (optional)",
                    placeholder="Enter comma-separated terms to search for specific files",
                    lines=1
                )
                
                submit_btn = gr.Button("Search & Ask", variant="primary", size="lg")
            
            # Results section
            with gr.Group():
                gr.Markdown("### Answer")
                answer_output = gr.Textbox(
                    label="AI Response",
                    lines=10,
                    interactive=False
                )
                
                sources_output = gr.Textbox(
                    label="Sources",
                    lines=3,
                    interactive=False
                )
        
        with gr.Column(scale=1):
            # Status and setup info
            with gr.Group():
                gr.Markdown("### System Status")
                status_btn = gr.Button("Check Status", size="sm")
                status_output = gr.Textbox(
                    label="API Status",
                    lines=4,
                    interactive=False
                )
            
            with gr.Group():
                gr.Markdown("### Setup Instructions")
                gr.Markdown("""
                **Important Notes:**
                1.Only documents shared with it, it can answer
                
                **File Types Supported:**
                - Google Docs
                - Google Sheets  
                - PDF files
                - Text files
                
                **Tips:**
                - Use specific search terms for better results
                - The system searches the top 3 most relevant files
                - Ask clear, specific questions for better answers
                """)
    
    # Event handlers
    submit_btn.click(
        fn=process_user_query,
        inputs=[query_input, search_terms_input],
        outputs=[answer_output, sources_output]
    )
    
    status_btn.click(
        fn=check_setup,
        outputs=status_output
    )
    
    # Example queries
    with gr.Row():
        gr.Examples(
            examples=[
                ["What is morbid Anatomy?", "morbid, Anatomy"],
                ["The transmission of nerves from one neuron to another is as a result of what?", "neuron, nerves, Dr Clement"],
            ],
            inputs=[query_input, search_terms_input],
        )

# Launch the app
if __name__ == "__main__":
    app.launch(
        share=True,debug =True)