import math
import os.path
import shutil

import gradio as gr
import random

import requests

from configs.config import cfg
from ml.model import base_df, ml_model
from ml.predictor import Predictor


def get_result(team1, prob1, score1, team2, prob2, score2, probtie):
    if prob1 > prob2 and prob1 > probtie:
        winner = {"name": team1, "probability": prob1, "goals": score1}
        loser = {"name": team2, "probability": prob2, "goals": score2}

    elif prob1 < prob2 and prob2 > probtie:
        loser = {"name": team1, "probability": prob1, "goals": score1}
        winner = {"name": team2, "probability": prob2, "goals": score2}
    else:
        loser = {"name": None, "probability": 0.0, "goals": score1}
        winner = {"name": None, "probability": 0.0, "goals": score2}
    result = {
        "winner": winner,
        "loser": loser,
        "draw": {"probability": probtie},
    }
    return result


def function(team1, team2):
    """

    :param team1:
    :param team2:
    :return:
    """

    response = requests.get(cfg.live_prediction)
    if response.status_code == 200:
        five_thirty_eight_predict = response.json()
        for match in five_thirty_eight_predict["matches"]:
            if not (
                (team1 == match["team1"] and team2 == match["team2"])
                or (team1 == match["team2"] and team2 == match["team1"])
            ):
                continue

            if match["status"] != "live":
                result = get_result(
                    match["team1"],
                    match["prob1"],
                    math.ceil(match["adj_score1"])
                    if "adj_score1" in match
                    else math.ceil(match["o1"] - match["d2"]),
                    match["team2"],
                    match["prob2"],
                    math.ceil(match["adj_score2"])
                    if "adj_score2" in match
                    else math.ceil(match["o2"] - match["d1"]),
                    match["probtie"],
                )
            else:

                result = get_result(
                    match["team1"],
                    match["live_winprobs"]["winprobs"][-1]["prob1"],
                    math.ceil(match["adj_score1"])
                    if "adj_score1" in match
                    else math.ceil(match["o1"] - match["d2"]),
                    match["team2"],
                    match["live_winprobs"]["winprobs"][-1]["prob2"],
                    math.ceil(match["adj_score2"])
                    if "adj_score2" in match
                    else math.ceil(match["o2"] - match["d1"]),
                    match["probtie"],
                )
            return result
    draw, winner, winner_proba = predictor.predict(team1, team2)
    if draw:
        draw_prob = round(random.uniform(0.7, 0.9), 10)
        winner_proba = round(random.uniform(0, 1 - draw_prob), 10)
        loser_proba = 1 - draw_prob - winner_proba
        return {
            "winner": {"name": team1, "probability": winner_proba, "goals": None},
            "loser": {"name": team2, "probability": loser_proba, "goals": None},
            "draw": {"probability": draw_prob},
        }
    else:
        loser_proba = round(random.uniform(0, 1 - winner_proba), 10)
        return {
            "winner": {"name": winner, "probability": winner_proba, "goals": None},
            "loser": {
                "name": team1 if winner == team2 else team2,
                "probability": loser_proba,
                "goals": None,
            },
            "draw": {"probability": 1 - winner_proba - loser_proba},
        }


shutil.copytree(
    "static",
    os.path.abspath(
        os.path.join(os.path.dirname(gr.__file__), "templates/frontend/static")
    ),
    dirs_exist_ok=True,
)
shutil.copy(
    "templates/asset.html",
    os.path.abspath(
        os.path.join(
            os.path.dirname(gr.__file__), "templates/frontend/static/asset.html"
        )
    ),
)
shutil.copytree(
    "templates/asset",
    os.path.abspath(
        os.path.join(os.path.dirname(gr.__file__), "templates/frontend/static/asset")
    ),
    dirs_exist_ok=True,
)
predictor = Predictor(base_df, ml_model)
examples = (
    ("Croatia", "Argentina"),
    ("Morocco", "France"),
    ("Argentina", "France"),
    ("Morocco", "Croatia"),
)
examples = [list(x) for x in examples]
iface = gr.Interface(
    fn=function,
    inputs=[gr.Textbox(placeholder="Qatar"), gr.Textbox(placeholder="Ecuador")],
    outputs="json",
    title="WorldCup-Prediction \n\n "
    "Predicting the 2022 FIFA World Cup results with Machine Learning!",
    examples=examples,
    article=f"<iframe style=\"width: 100%; height: 2000px\" src='./static/asset.html' ></iframe>",
)
iface.queue(concurrency_count=5)
iface.launch()