import streamlit as st
import plotly.graph_objects as go
import pandas as pd

def render_portfolio(portfolio_manager, current_prices: dict, db):
    st.header("Portfolio Simulator")
    pv = portfolio_manager.get_portfolio_value(current_prices)

    cols = st.columns(5)
    cols[0].metric("Initial Capital", f"${portfolio_manager.initial_capital:.2f}")
    cols[1].metric("Current Value", f"${pv['total_value']:.2f}")
    pnl_delta = f"{pv['pnl_pct']:+.1f}%"
    cols[2].metric("Total P&L", f"${pv['total_pnl']:+.2f}", pnl_delta)
    cols[3].metric("Win Rate", f"{pv['win_rate']:.0f}%")
    cols[4].metric("Available Cash", f"${pv['cash']:.2f}")

    st.divider()
    col_left, col_right = st.columns([3, 2])

    with col_left:
        st.subheader("Current Holdings")
        if portfolio_manager.positions:
            rows = []
            for sym, pos in portfolio_manager.positions.items():
                price = current_prices.get(sym, pos["entry_price"])
                value = pos["quantity"] * price
                pnl = value - pos["invested_usd"]
                pnl_pct = (pnl / pos["invested_usd"] * 100) if pos["invested_usd"] > 0 else 0
                rows.append({
                    "Coin": sym.replace("USDT", ""),
                    "Invested": f"${pos['invested_usd']:.2f}",
                    "Qty": f"{pos['quantity']:.6f}",
                    "Entry": f"${pos['entry_price']:.4f}",
                    "Current": f"${price:.4f}",
                    "P&L": f"${pnl:+.2f} ({pnl_pct:+.1f}%)",
                })
            st.dataframe(pd.DataFrame(rows), use_container_width=True, hide_index=True)
        else:
            st.info("No open positions")

    with col_right:
        st.subheader("Allocation")
        if portfolio_manager.positions:
            labels = [s.replace("USDT", "") for s in portfolio_manager.positions]
            values = [p["quantity"] * current_prices.get(s, p["entry_price"])
                      for s, p in portfolio_manager.positions.items()]
            labels.append("Cash")
            values.append(pv["cash"])
            fig = go.Figure(data=[go.Pie(labels=labels, values=values, hole=0.4)])
            fig.update_layout(template="plotly_dark", height=300, margin=dict(t=20, b=20))
            st.plotly_chart(fig, use_container_width=True)
        else:
            st.info("100% Cash")

    st.divider()
    st.subheader("Trade History")
    if portfolio_manager.trades:
        trade_rows = []
        for t in reversed(portfolio_manager.trades[-20:]):
            trade_rows.append({
                "Time": t["timestamp"][:16],
                "Coin": t["coin"].replace("USDT", ""),
                "Side": t["side"],
                "Price": f"${t['price']:.4f}",
                "Amount": f"${t['amount_usd']:.2f}",
                "Reason": t["reason"],
            })
        st.dataframe(pd.DataFrame(trade_rows), use_container_width=True, hide_index=True)
    else:
        st.info("No trades yet")