main.py

import streamlit as st
import plotly.graph_objects as go
import yfinance as yf
import pandas as pd
from datetime import datetime, timedelta
from data_fetcher import get_stock_data, get_company_info
from visualization import create_stock_chart, create_metrics_table
import styles

def main():
    # Apply custom styles
    styles.apply_custom_styles()

    st.title("📈 Stock Analysis Terminal")

    # Stock Symbol Input
    symbol = st.text_input("Enter Stock Symbol (e.g., AAPL)", "").upper()

    if symbol:
        try:
            # Fetch stock data
            stock_data = get_stock_data(symbol)
            company_info = get_company_info(symbol)

            # Display company info
            col1, col2 = st.columns(2)
            with col1:
                st.subheader(company_info.get('longName', symbol))
                st.write(f"Sector: {company_info.get('sector', 'N/A')}")
            with col2:
                st.metric(
                    "Current Price", 
                    f"${stock_data['Close'].iloc[-1]:.2f}",
                    f"{((stock_data['Close'].iloc[-1] / stock_data['Close'].iloc[-2]) - 1) * 100:.2f}%"
                )

            # Stock Chart
            st.plotly_chart(create_stock_chart(stock_data, symbol), use_container_width=True)

            # Financial Metrics Table
            metrics_df = create_metrics_table(company_info)
            st.dataframe(metrics_df, use_container_width=True)

            # Download button for CSV
            csv = stock_data.to_csv(index=True)
            st.download_button(
                label="Download Data as CSV",
                data=csv,
                file_name=f"{symbol}_stock_data.csv",
                mime="text/csv"
            )

        except Exception as e:
            st.error(f"Error retrieving data for {symbol}: {str(e)}")

if __name__ == "__main__":
    main()