from datetime import datetime, timedelta

import plotly.graph_objects as go
from plotly.subplots import make_subplots

import bots.config_discordbot as cfg
from bots.config_discordbot import logger
from bots import helpers
from gamestonk_terminal.common.technical_analysis import momentum_model


def macd_command(ticker="", fast="12", slow="26", signal="9", start="", end=""):
    """Displays chart with moving average convergence/divergence [Yahoo Finance]"""

    # Debug
    if cfg.DEBUG:
        # pylint: disable=logging-too-many-args
        logger.debug(
            "ta-macd %s %s %s %s %s %s",
            ticker,
            fast,
            slow,
            signal,
            start,
            end,
        )

    # Check for argument
    if ticker == "":
        raise Exception("Stock ticker is required")

    if start == "":
        start = datetime.now() - timedelta(days=365)
    else:
        start = datetime.strptime(start, cfg.DATE_FORMAT)

    if end == "":
        end = datetime.now()
    else:
        end = datetime.strptime(end, cfg.DATE_FORMAT)

    if not fast.lstrip("-").isnumeric():
        raise Exception("Number has to be an integer")
    fast = float(fast)
    if not slow.lstrip("-").isnumeric():
        raise Exception("Number has to be an integer")
    slow = float(slow)
    if not signal.lstrip("-").isnumeric():
        raise Exception("Number has to be an integer")
    signal = float(signal)

    ticker = ticker.upper()
    df_stock = helpers.load(ticker, start)
    if df_stock.empty:
        raise Exception("Stock ticker is invalid")

    # Retrieve Data
    df_stock = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)]

    df_ta = momentum_model.macd(df_stock["Adj Close"], fast, slow, signal)
    trace_name = df_ta.columns[0].replace("_", " ")

    fig = make_subplots(
        rows=2,
        cols=1,
        shared_xaxes=True,
        vertical_spacing=0.07,
        row_width=[0.5, 0.6],
    )
    fig.add_trace(
        go.Scatter(
            name=ticker,
            x=df_stock.index,
            y=df_stock["Adj Close"].values,
            line=dict(color="#fdc708", width=2),
            opacity=1,
            showlegend=False,
        ),
        row=1,
        col=1,
    )
    fig.add_trace(
        go.Bar(
            name="MACD Histogram",
            x=df_ta.index,
            y=df_ta.iloc[:, 1].values,
            opacity=1,
        ),
        row=2,
        col=1,
    )
    fig.add_trace(
        go.Scatter(
            mode="lines",
            name="MACD Line",
            x=df_ta.index,
            y=df_ta.iloc[:, 0].values,
            opacity=1,
        ),
        row=2,
        col=1,
    )
    fig.add_trace(
        go.Scatter(
            mode="lines",
            name="Signal Line",
            x=df_ta.index,
            y=df_ta.iloc[:, 2].values,
            opacity=1,
        ),
        row=2,
        col=1,
    )
    fig.update_layout(
        margin=dict(l=0, r=20, t=30, b=20),
        template=cfg.PLT_TA_STYLE_TEMPLATE,
        colorway=cfg.PLT_TA_COLORWAY,
        title=f"{ticker} {trace_name}",
        title_x=0.3,
        yaxis_title="Stock Price ($)",
        yaxis=dict(
            fixedrange=False,
        ),
        xaxis=dict(
            rangeslider=dict(visible=False),
            type="date",
        ),
        dragmode="pan",
        legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
    )
    config = dict({"scrollZoom": True})
    imagefile = "ta_macd.png"

    # Check if interactive settings are enabled
    plt_link = ""
    if cfg.INTERACTIVE:
        html_ran = helpers.uuid_get()
        fig.write_html(f"in/macd_{html_ran}.html", config=config)
        plt_link = f"[Interactive]({cfg.INTERACTIVE_URL}/macd_{html_ran}.html)"

    fig.update_layout(
        width=800,
        height=500,
    )

    imagefile = helpers.image_border(imagefile, fig=fig)

    return {
        "title": f"Stocks: Moving-Average-Convergence-Divergence {ticker}",
        "description": plt_link,
        "imagefile": imagefile,
    }