"""Chart creation utilities for the financial dashboard."""

import plotly.graph_objects as go
import pandas as pd


def get_dark_theme_layout():
    """Get common dark theme layout settings for all charts."""
    return dict(
        plot_bgcolor="#0d1117",
        paper_bgcolor="#0e1117",
        font=dict(color="#e6edf3", size=12, family="Arial, sans-serif"),
        xaxis=dict(
            gridcolor="#30363d",
            showgrid=True,
            zeroline=False,
            color="#8b949e"
        ),
        yaxis=dict(
            gridcolor="#30363d",
            showgrid=True,
            zeroline=False,
            color="#8b949e"
        ),
        legend=dict(
            bgcolor="rgba(13, 17, 23, 0.8)",
            bordercolor="#30363d",
            borderwidth=1,
            font=dict(color="#e6edf3")
        ),
        hoverlabel=dict(
            bgcolor="#0d1117",
            bordercolor="#30363d",
            font=dict(color="#e6edf3")
        )
    )


def create_price_chart(df: pd.DataFrame, symbol: str, period: int) -> go.Figure:
    """Create price chart with SMA and EMA indicators."""
    fig = go.Figure()

    fig.add_trace(go.Scatter(
        x=df.index, y=df["close"],
        name="Close Price",
        line=dict(color="#0066ff", width=2.5)
    ))
    fig.add_trace(go.Scatter(
        x=df.index, y=df["SMA"],
        name=f"SMA {period}",
        line=dict(color="#00d084", width=2, dash="dash")
    ))
    fig.add_trace(go.Scatter(
        x=df.index, y=df["EMA"],
        name=f"EMA {period}",
        line=dict(color="#ffa500", width=2, dash="dot")
    ))

    layout = get_dark_theme_layout()
    fig.update_layout(
        title=f"{symbol} - Price with Moving Averages",
        xaxis_title="Date",
        yaxis_title="Price ($)",
        hovermode="x unified",
        template="plotly_dark",
        height=500,
        margin=dict(l=0, r=0, t=40, b=0),
        **layout
    )

    return fig


def create_rsi_chart(df: pd.DataFrame, symbol: str) -> go.Figure:
    """Create RSI (Relative Strength Index) chart."""
    fig = go.Figure()

    fig.add_trace(go.Scatter(
        x=df.index, y=df["RSI"],
        name="RSI",
        line=dict(color="#ff3838", width=2.5),
        fill="tozeroy",
        fillcolor="rgba(255, 56, 56, 0.15)"
    ))

    fig.add_hline(y=70, line_dash="dash", line_color="rgba(255, 165, 0, 0.6)",
                  annotation_text="Overbought (70)")
    fig.add_hline(y=30, line_dash="dash", line_color="rgba(0, 208, 132, 0.6)",
                  annotation_text="Oversold (30)")
    fig.add_hline(y=50, line_dash="dot", line_color="rgba(139, 148, 158, 0.3)")

    layout = get_dark_theme_layout()
    layout["yaxis"]["range"] = [0, 100]

    fig.update_layout(
        title=f"{symbol} - Relative Strength Index (RSI)",
        xaxis_title="Date",
        yaxis_title="RSI",
        hovermode="x unified",
        template="plotly_dark",
        height=500,
        margin=dict(l=0, r=0, t=40, b=0),
        **layout
    )

    return fig


def create_financial_chart(income_data: pd.DataFrame) -> go.Figure:
    """Create financial revenue and net income chart."""
    fig = go.Figure()

    fig.add_trace(go.Bar(
        x=income_data['period_ending'],
        y=income_data['total_revenue'],
        name="Total Revenue",
        marker=dict(color='#0066ff', opacity=0.9),
        yaxis='y1'
    ))

    fig.add_trace(go.Bar(
        x=income_data['period_ending'],
        y=income_data['net_income'],
        name="Net Income",
        marker=dict(color='#00d084', opacity=0.9),
        yaxis='y1'
    ))

    layout = get_dark_theme_layout()
    fig.update_layout(
        title="Revenue & Net Income (Annual)",
        xaxis_title="Period",
        yaxis_title="Amount ($)",
        hovermode="x unified",
        template="plotly_dark",
        height=400,
        barmode='group',
        margin=dict(l=0, r=0, t=40, b=0),
        **layout
    )

    return fig