import streamlit as st

from apis import generate_sql, generate_chart


# Page configuration
st.set_page_config(
    page_title="Wren AI Cloud API Demo",
    page_icon="📊",
    layout="wide"
)


def main():
    st.title("📊 Wren AI Cloud API Demo")
    st.markdown("Ask questions about your data and get both SQL queries and beautiful charts!")

    # Sidebar for API configuration
    with st.sidebar:
        st.header("🔧 Configuration")
        api_key = st.text_input(
            "API Key", 
            type="password", 
            placeholder="sk-your-api-key-here",
            help="Enter your Wren AI Cloud API key"
        )
        project_id = st.text_input(
            "Project ID", 
            placeholder="1234",
            help="Enter your Wren AI Cloud project ID"
        )
        
        # Sample size configuration
        sample_size = st.slider(
            "Chart Sample Size", 
            min_value=100, 
            max_value=10000, 
            value=1000,
            step=100,
            help="Number of data points to include in charts"
        )

    # Main chat interface
    if not api_key or not project_id:
        st.warning("⚠️ Please enter your API Key and Project ID in the sidebar to get started.")
        st.info("""
        **How to get started:**
        1. Enter your Wren AI Cloud API Key in the sidebar
        2. Enter your Project ID
        3. Ask questions about your data in natural language
        4. Get SQL queries and interactive charts automatically!
        """)
        return

    # Initialize chat history
    if "messages" not in st.session_state:
        st.session_state.messages = []
    if "thread_id" not in st.session_state:
        st.session_state.thread_id = ""

    # Display chat history
    for message in st.session_state.messages:
        with st.chat_message(message["role"]):
            if message["role"] == "user":
                st.write(message["content"])
            else:
                st.write(message["content"])
                if "sql" in message:
                    with st.expander("📝 Generated SQL Query", expanded=False):
                        st.code(message["sql"], language="sql")
                if "vega_spec" in message:
                    try:
                        with st.expander("📊 Chart Specification", expanded=False):
                            st.json(message["vega_spec"])
                        st.vega_lite_chart(message["vega_spec"])
                    except Exception as e:
                        st.toast(f"Error rendering chart: {e}", icon="🚨")

    # Chat input
    if prompt := st.chat_input("Ask a question about your data..."):
        # Add user message to chat history
        st.session_state.messages.append({"role": "user", "content": prompt})
        
        # Display user message
        with st.chat_message("user"):
            st.write(prompt)

        # Generate response
        with st.chat_message("assistant"):
            with st.spinner("Generating SQL query..."):
                sql_response, error = generate_sql(api_key, project_id, prompt, st.session_state.thread_id)
            
            if sql_response:
                sql_query = sql_response.get("sql", "")
                st.session_state.thread_id = sql_response.get("threadId", "")
                
                if sql_query:
                    st.toast("SQL query generated successfully!", icon="🎉")
                    
                    # Store the response
                    assistant_message = {
                        "role": "assistant",
                        "content": f"I've generated a SQL query for your question: '{prompt}'",
                        "sql": sql_query
                    }
                    st.session_state.messages.append(assistant_message)
                    st.write(assistant_message["content"])

                    # Display SQL query
                    with st.expander("📝 Generated SQL Query", expanded=False):
                        st.code(sql_query, language="sql")
                    
                    # Generate chart
                    with st.spinner("Generating chart..."):
                        chart_response, error = generate_chart(api_key, project_id, prompt, sql_query, sample_size, st.session_state.thread_id)
                    
                    if chart_response:
                        vega_spec = chart_response.get("vegaSpec", {})
                        if vega_spec:
                            st.toast("Chart generated successfully!", icon="🎉")
                        
                            assistant_message = {
                                "role": "assistant",
                                "content": f"I've generated a Chart for your question: '{prompt}'",
                                "vega_spec": vega_spec
                            }
                            st.session_state.messages.append(assistant_message)
                            st.write(assistant_message["content"])

                            # Display chart
                            try:
                                # Show chart specification in expander
                                with st.expander("📊 Chart Specification", expanded=False):
                                    st.json(vega_spec)
                                st.vega_lite_chart(vega_spec)
                            except Exception as e:
                                st.toast(f"Error rendering chart: {e}", icon="🚨")
                        else:
                            st.toast("Failed to generate chart. Please check your query and try again.", icon="🚨")
                    else:
                        st.toast(f"Failed to generate chart. Please check your query and try again.: {error}", icon="🚨")
                else:
                    st.toast("No SQL query was generated. Please try rephrasing your question.", icon="🚨")
                    assistant_message = {
                        "role": "assistant",
                        "content": "I couldn't generate a SQL query for your question. Please try rephrasing it or make sure it's related to your data."
                    }
                    st.session_state.messages.append(assistant_message)
            else:
                st.toast(f"Error generating SQL: {error}", icon="🚨")
                assistant_message = {
                    "role": "assistant", 
                    "content": "Sorry, I couldn't process your request. Please check your API credentials and try again."
                }
                st.session_state.messages.append(assistant_message)

    # Clear chat button
    if st.sidebar.button("🗑️ Clear Chat History"):
        st.session_state.messages = []
        st.session_state.thread_id = ""
        st.rerun()


if __name__ == "__main__":
    main()