"""Financial Analysis Dashboard - Main Application."""

import streamlit as st
from dotenv import load_dotenv
import os

from styles import DARK_THEME_CSS
from data import (
    load_stock_data,
    load_company_profile,
    load_income_statement,
    calculate_technical_indicators,
    get_price_metrics,
)
from charts import (
    create_price_chart,
    create_rsi_chart,
    create_financial_chart,
)
from ui import (
    display_price_metrics,
    display_company_info,
    display_financial_metrics,
    display_income_statement,
    display_profitability_metrics,
)


# ---- Configuration ----
load_dotenv()
token = os.getenv("TOKEN")

st.set_page_config(
    page_title="Financial Dashboard",
    page_icon="📈",
    layout="wide",
    initial_sidebar_state="expanded",
    menu_items={
        "About": "A professional financial analysis dashboard with technical indicators"
    }
)

# ---- Apply Dark Theme ----
st.markdown(DARK_THEME_CSS, unsafe_allow_html=True)

# ---- Header ----
st.markdown("# 📈 Financial Analysis Dashboard")
st.markdown("Real-time technical analysis with multiple indicators")

# ---- Sidebar Configuration ----
with st.sidebar:
    st.markdown("## ⚙️ Settings")
    symbol = st.text_input("Stock Ticker", "AAPL", help="Enter a valid stock ticker symbol").upper()
    period = st.slider("Indicator Period", 5, 50, 20, help="Period for SMA, EMA, and RSI calculations")

    st.markdown("---")
    st.markdown("### About")
    st.info("This dashboard provides real-time technical analysis with comprehensive financial metrics.")


def main():
    """Main application logic."""
    if st.button("�� Load Dashboard", key="load_btn", use_container_width=True):
        try:
            # Load data
            with st.spinner("Loading data..."):
                df = load_stock_data(symbol)
                profile_info = load_company_profile(symbol)
                income_stmt = load_income_statement(symbol)

            # Calculate technical indicators
            df = calculate_technical_indicators(df, period)

            # Display price metrics
            metrics = get_price_metrics(df)
            display_price_metrics(metrics)

            # Display company information
            display_company_info(profile_info)

            # Display financial metrics
            if not income_stmt.empty:
                display_financial_metrics(income_stmt)

                # Financial history chart
                st.markdown('<div class="section-title">📊 Revenue & Net Income Trend</div>', unsafe_allow_html=True)
                income_chart_data = income_stmt[['period_ending', 'total_revenue', 'net_income']].dropna()

                if len(income_chart_data) > 0:
                    fig_financial = create_financial_chart(income_chart_data)
                    st.plotly_chart(fig_financial, use_container_width=True)

            # ---- Tabs ----
            tab1, tab2, tab3, tab4 = st.tabs([
                "📈 Price & Moving Averages",
                "📊 RSI Indicator",
                "📉 TradingView",
                "📋 Financials"
            ])

            # Tab 1: Price & Moving Averages
            with tab1:
                fig_price = create_price_chart(df, symbol, period)
                st.plotly_chart(fig_price, use_container_width=True)

            # Tab 2: RSI Indicator
            with tab2:
                fig_rsi = create_rsi_chart(df, symbol)
                st.plotly_chart(fig_rsi, use_container_width=True)

            # Tab 3: TradingView
            with tab3:
                tradingview_html = f"""
                <div class="tradingview-widget-container">
                  <div id="tradingview_{symbol}"></div>
                  <script type="text/javascript" src="https://s3.tradingview.com/tv.js"></script>
                  <script type="text/javascript">
                    new TradingView.widget({{
                      "width": "100%",
                      "height": 600,
                      "symbol": "{symbol}",
                      "interval": "D",
                      "timezone": "Etc/UTC",
                      "theme": "dark",
                      "style": "1",
                      "locale": "en",
                      "enable_publishing": false,
                      "allow_symbol_change": true,
                      "container_id": "tradingview_{symbol}"
                    }});
                  </script>
                </div>
                """
                st.components.v1.html(tradingview_html, height=650)

            # Tab 4: Detailed Financials
            with tab4:
                if not income_stmt.empty:
                    display_income_statement(income_stmt)
                    display_profitability_metrics(income_stmt)

        except Exception as e:
            st.error(f"Error loading data for {symbol}: {str(e)}")
            st.info("Please check the ticker symbol and try again.")


if __name__ == "__main__":
    main()