import logging

import pandas as pd
import requests
from bs4 import BeautifulSoup
from typing import Literal

from db_calls import db_put


async def create_positions(
        all_stats: pd.DataFrame, season_pct: float, post_pos: bool, df_c: pd.DataFrame, df_1b: pd.DataFrame,
        df_2b: pd.DataFrame, df_3b: pd.DataFrame, df_ss: pd.DataFrame, df_lf: pd.DataFrame, df_cf: pd.DataFrame,
        df_rf: pd.DataFrame, df_of: pd.DataFrame):
    position_payload = []

    def process_pos(df_data):
        no_data = True
        for pos_data in [(df_1b, '1b'), (df_2b, '2b'), (df_3b, '3b'), (df_ss, 'ss')]:
            if df_data['key_bbref'] in pos_data[0].index:
                logging.info(f'Running {pos_data[1]} stats for {df_data["p_name"]}')
                try:
                    average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
                                     int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
                                     min(
                                         int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
                                         int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
                                     )) / 3

                    position_payload.append({
                        "player_id": int(df_data['player_id']),
                        "position": pos_data[1].upper(),
                        "innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
                        "range": get_if_range(
                            pos_code=pos_data[1],
                            tz_runs=round(average_range),
                            r_dp=0,
                            season_pct=season_pct
                        ),
                        "error": get_any_error(
                            pos_code=pos_data[1],
                            errors=int(pos_data[0].at[df_data["key_bbref"], 'E_def']),
                            chances=int(pos_data[0].at[df_data["key_bbref"], 'chances']),
                            season_pct=season_pct
                        )
                    })
                    no_data = False
                except Exception as e:
                    logging.info(f'Infield position failed: {e}')

        of_arms = []
        of_payloads = []
        for pos_data in [(df_lf, 'lf'), (df_cf, 'cf'), (df_rf, 'rf')]:
            if df_data["key_bbref"] in pos_data[0].index:
                try:
                    average_range = (int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']) +
                                     int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total']) +
                                     min(
                                         int(pos_data[0].at[df_data["key_bbref"], 'tz_runs_total']),
                                         int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_total'])
                                     )) / 3
                    of_payloads.append({
                        "player_id": int(df_data['player_id']),
                        "position": pos_data[1].upper(),
                        "innings": float(pos_data[0].at[df_data["key_bbref"], 'Inn_def']),
                        "range": get_of_range(
                            pos_code=pos_data[1],
                            tz_runs=round(average_range),
                            season_pct=season_pct
                        )
                    })
                    of_arms.append(int(pos_data[0].at[df_data["key_bbref"], 'bis_runs_outfield']))
                    no_data = False
                except Exception as e:
                    logging.info(f'Outfield position failed: {e}')

        if df_data["key_bbref"] in df_of.index and len(of_arms) > 0 and len(of_payloads) > 0:
            try:
                error_rating = get_any_error(
                    pos_code=pos_data[1],
                    errors=int(df_of.at[df_data["key_bbref"], 'E_def']),
                    chances=int(df_of.at[df_data["key_bbref"], 'chances']),
                    season_pct=season_pct
                )
                arm_rating = arm_outfield(of_arms)
                for f in of_payloads:
                    f['error'] = error_rating
                    f['arm'] = arm_rating
                    position_payload.append(f)
                no_data = False
            except Exception as e:
                logging.info(f'Outfield position failed: {e}')

        if df_data["key_bbref"] in df_c.index:
            try:
                if df_c.at[df_data["key_bbref"], 'SB'] + df_c.at[df_data["key_bbref"], 'CS'] == 0:
                    arm_rating = 3
                else:
                    arm_rating = arm_catcher(
                        cs_pct=df_c.at[df_data["key_bbref"], 'caught_stealing_perc'],
                        raa=int(df_c.at[df_data["key_bbref"], 'bis_runs_catcher_sb']),
                        season_pct=season_pct
                    )
                position_payload.append({
                    "player_id": int(df_data['player_id']),
                    "position": 'C',
                    "innings": float(df_c.at[df_data["key_bbref"], 'Inn_def']),
                    "range": range_catcher(
                        rs_value=int(df_c.at[df_data["key_bbref"], 'tz_runs_catcher']),
                        season_pct=season_pct
                    ),
                    "error": get_any_error(
                        pos_code='c',
                        errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
                        chances=int(df_c.at[df_data["key_bbref"], 'chances']),
                        season_pct=season_pct
                    ),
                    "arm": arm_rating,
                    "pb": pb_catcher(
                        pb=int(df_c.at[df_data["key_bbref"], 'PB']),
                        innings=int(float(df_c.at[df_data["key_bbref"], 'Inn_def'])),
                        season_pct=season_pct
                    ),
                    "overthrow": ot_catcher(
                        errors=int(df_c.at[df_data["key_bbref"], 'E_def']),
                        chances=int(df_c.at[df_data["key_bbref"], 'chances']),
                        season_pct=season_pct
                    )
                })
                no_data = False
            except Exception as e:
                logging.info(f'Catcher position failed: {e}')

        if no_data:
            position_payload.append({
                "player_id": int(df_data['player_id']),
                "position": 'DH',
                "innings": df_data['PA_vL'] + df_data['PA_vR']
            })

    print(f'Calculating fielding lines now...')
    all_stats.apply(process_pos, axis=1)
    print(f'Fielding is complete.\n\nPosting positions now...')
    if post_pos:
        resp = await db_put('cardpositions', payload={'positions': position_payload}, timeout=30)
        print(f'Response: {resp}\n')

    return len(position_payload)


def range_pitcher(rs_value: int, season_pct: float):
    if rs_value >= (3 * season_pct):
        return 1
    elif rs_value >= (1 * season_pct):
        return 2
    elif rs_value >= (0 * season_pct):
        return 3
    elif rs_value >= (-2 * season_pct):
        return 4
    else:
        return 5


def range_catcher(rs_value: int, season_pct: float):
    if rs_value >= 7 * season_pct:
        return 1
    elif rs_value >= 3 * season_pct:
        return 2
    elif rs_value >= -1 * season_pct:
        return 3
    elif rs_value >= -5 * season_pct:
        return 4
    else:
        return 5


def range_first_base(tz_runs: int, r_dp: int, season_pct: float):
    if (tz_runs + r_dp) >= max(6 * season_pct, 2):
        return 1
    elif (tz_runs + r_dp) >= max(2 * season_pct, 1):
        return 2
    elif (tz_runs + r_dp) >= min(-1 * season_pct, -1):
        return 3
    elif (tz_runs + r_dp) >= min(-3 * season_pct, -3):
        return 4
    else:
        return 5


def range_second_base(tz_runs: int, r_dp: int, season_pct: float):
    if (tz_runs + r_dp) >= max(6 * season_pct, 2):
        return 1
    elif (tz_runs + r_dp) >= max(2 * season_pct, 1):
        return 2
    elif (tz_runs + r_dp) >= min(-1 * season_pct, -1):
        return 3
    elif (tz_runs + r_dp) >= min(-3 * season_pct, -3):
        return 4
    else:
        return 5


def range_third_base(tz_runs: int, r_dp: int, season_pct: float):
    if (tz_runs + r_dp) >= max(6 * season_pct, 2):
        return 1
    elif (tz_runs + r_dp) >= max(2 * season_pct, 1):
        return 2
    elif (tz_runs + r_dp) >= min(-1 * season_pct, -1):
        return 3
    elif (tz_runs + r_dp) >= min(-3 * season_pct, -3):
        return 4
    else:
        return 5


def range_shortstop(tz_runs: int, r_dp: int, season_pct: float):
    if (tz_runs + r_dp) >= max(8 * season_pct, 2):
        return 1
    elif (tz_runs + r_dp) >= max(2 * season_pct, 1):
        return 2
    elif (tz_runs + r_dp) >= min(-1 * season_pct, -1):
        return 3
    elif (tz_runs + r_dp) >= min(-3 * season_pct, -3):
        return 4
    else:
        return 5


def get_if_range(pos_code: str, tz_runs: int, r_dp: int, season_pct: float):
    logging.info(f'pos: {pos_code} / tz_runs: {tz_runs} ({type(tz_runs)})')
    if pos_code == '1b':
        return range_first_base(tz_runs, 0, season_pct)
    elif pos_code == '2b':
        return range_second_base(tz_runs, 0, season_pct)
    elif pos_code == '3b':
        return range_third_base(tz_runs, 0, season_pct)
    elif pos_code == 'ss':
        return range_shortstop(tz_runs, 0, season_pct)
    else:
        raise ValueError(f'get_if_range - pos_code must be one of 1b, 2b, 3b, ss / {pos_code} not valid')


def range_center_field(drs: int, season_pct: float):
    if drs >= 9 * season_pct:
        return 1
    elif drs >= 3 * season_pct:
        return 2
    elif drs >= -1 * season_pct:
        return 3
    elif drs >= -4 * season_pct:
        return 4
    else:
        return 5


def range_left_field(drs: int, season_pct: float):
    return range_center_field(drs, season_pct)


def range_right_field(drs: int, season_pct: float):
    return range_center_field(drs, season_pct)


def get_of_range(pos_code: str, tz_runs: int, season_pct: float):
    logging.info(f'pos: {pos_code} / tz_runs: {tz_runs}')
    if pos_code == 'lf':
        return range_left_field(tz_runs, season_pct)
    elif pos_code == 'cf':
        return range_center_field(tz_runs, season_pct)
    else:
        return range_right_field(tz_runs, season_pct)


def valid_error_ratings(err_num: int, position: str) -> int:
    if position.lower() == 'p':
        valid_err = [
            0, 4, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 30, 31, 33, 34,
            35, 36, 38, 39, 40, 42, 43, 44, 46, 47, 48, 50, 51
        ]
    elif position.lower() == 'c':
        valid_err = list(range(17))
    elif position.lower() == '1b':
        valid_err = list(range(31))
    elif position.lower() == '2b':
        valid_err = [
            0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
            32, 34, 37, 39, 41, 44, 47, 50, 53, 56, 59, 62, 65, 68, 71
        ]
    elif position.lower() == '3b':
        valid_err = [
            0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30,
            31, 32, 33, 34, 35, 37, 39, 41, 44, 47, 50, 53, 56, 59, 62, 65
        ]
    elif position.lower() == 'ss':
        valid_err = [
            0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
            33, 34, 36, 38, 40, 42, 44, 48, 52, 56, 60, 64, 68, 72
        ]
    # Outfielders
    else:
        valid_err = list(range(26))

    if err_num in valid_err:
        return err_num
    elif err_num > valid_err[len(valid_err) - 1]:
        return valid_err[len(valid_err) - 1]
    else:
        for x in valid_err:
            if err_num <= x:
                return x


def raw_error(errors: int, chances: int, season_pct: float, chance_max: int):
    if errors == 0 or chances == 0:
        return 0
    # c_max = max(round(chance_max * season_pct), 1)
    c_max = chance_max
    return errors * c_max / chances


def error_pitcher(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 300)), 'p')


def error_catcher(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 500)), 'c')


def error_first_base(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 1300)), '1b')


def error_second_base(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 700)), '2b')


def error_third_base(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 500)), '3b')


def error_shortstop(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 700)), 'ss')


def error_outfield(errors: int, chances: int, season_pct: float):
    return valid_error_ratings(int(raw_error(errors, chances, season_pct, 250)), 'of')


def get_any_error(pos_code: str, errors: int, chances: int, season_pct: float):
    if pos_code.lower() == 'p':
        return error_pitcher(errors, chances, season_pct)
    elif pos_code.lower() == 'c':
        return error_catcher(errors, chances, season_pct)
    elif pos_code.lower() == '1b':
        return error_first_base(errors, chances, season_pct)
    elif pos_code.lower() == '2b':
        return error_second_base(errors, chances, season_pct)
    elif pos_code.lower() == '3b':
        return error_third_base(errors, chances, season_pct)
    elif pos_code.lower() == 'ss':
        return error_shortstop(errors, chances, season_pct)
    elif pos_code.lower() in ['lf', 'cf', 'rf', 'of']:
        return error_outfield(errors, chances, season_pct)


def arm_outfield(all_arms: list):
    if not all_arms:
        return 5

    if max(all_arms) > 8:
        return -6
    elif max(all_arms) > 4:
        return -5
    elif max(all_arms) < -4:
        return +5
    else:
        return max(all_arms) * -1


def arm_catcher(cs_pct: str, raa: int, season_pct: float) -> int:
    if cs_pct == '':
        return 3
    cs_pct = float(cs_pct.strip("%")) / 100

    if raa > 5 * season_pct:
        max_arm = -4
    elif raa > 2 * season_pct:
        max_arm = -2
    elif raa > -1 * season_pct:
        max_arm = 0
    elif raa > -2 * season_pct:
        max_arm = 3
    else:
        max_arm = 5

    if cs_pct > .6:
        raw_arm = -5
    elif cs_pct > .5:
        raw_arm = -4
    elif cs_pct > .4:
        raw_arm = -3
    elif cs_pct > .3:
        raw_arm = -2
    elif cs_pct > .25:
        raw_arm = -1
    elif cs_pct > .2:
        raw_arm = 0
    elif cs_pct > .16:
        raw_arm = 1
    elif cs_pct > .12:
        raw_arm = 2
    elif cs_pct > .1:
        raw_arm = 3
    elif cs_pct > .05:
        raw_arm = 4
    else:
        raw_arm = 5

    return int(min(max_arm, raw_arm))


def pb_catcher(pb: int, innings: int, season_pct: float):
    if pb == 0 or innings == 0:
        return 0

    return int(abs(min(pb * 1000 * season_pct / innings, 20)))


def ot_catcher(errors: int, chances: int, season_pct: float):
    if errors == 0 or chances == 0:
        return 0

    c_max = 3000 * season_pct
    return int(min(errors * c_max / chances / 3, 20))


def hold_pitcher(raw_cs: str, picks: int, season_pct: float) -> str:
    if raw_cs == '':
        return '+9'

    cs_pct = float(raw_cs.strip("%")) / 100
    if picks > 5 * season_pct:
        pick_cap = -3
    elif picks > 3 * season_pct:
        pick_cap = -2
    elif picks > 0 * season_pct:
        pick_cap = 5
    else:
        pick_cap = 9

    if cs_pct > .667:
        hold_num = -5
    elif cs_pct > .6:
        hold_num = -4
    elif cs_pct > .48:
        hold_num = -3
    elif cs_pct > .34:
        hold_num = -2
    elif cs_pct > .26:
        hold_num = -1
    elif cs_pct > .22:
        hold_num = 0
    elif cs_pct > .2:
        hold_num = 1
    elif cs_pct > .18:
        hold_num = 3
    elif cs_pct > .16:
        hold_num = 4
    elif cs_pct > .14:
        hold_num = 5
    elif cs_pct > .12:
        hold_num = 6
    elif cs_pct > .1:
        hold_num = 7
    elif cs_pct > .06:
        hold_num = 8
    else:
        hold_num = 9

    final_hold = min(pick_cap, hold_num)
    return final_hold
    # return f'{"+" if final_hold >= 0 else ""}{final_hold}'


def pow_ratings(innings: float, gs: int, games: int) -> (int, int):
    if innings <= 1 or games <= 1:
        return 1, 1

    s_innings = int(innings * gs / games)
    r_innings = int(innings * (games - gs) / games)

    if gs == 0:
        s_pow = 1
    else:
        s_pow = round(s_innings / gs)

    if r_innings == 0:
        r_pow = 1
    else:
        r_pow = round(r_innings / (games - gs))

    if r_innings / max(s_innings, 1) < .1:
        r_pow = 1
    elif r_pow >= s_pow > 1:
        r_pow = s_pow - 1

    return s_pow, r_pow


def innings_float(innings: str) -> float:
    if '.' in innings:
        whole, decimal = innings.split('.')
    else:
        whole = innings
        decimal = "0"

    return float(int(whole) + int(decimal) * .333)


# Get position stats into dataframes
def get_bbref_fielding_df(
        position: Literal['p', 'c', '1b', '2b', '3b', 'ss', 'lf', 'cf', 'rf', 'of'], s_num: int):
    url = f'https://www.baseball-reference.com/leagues/majors/{s_num}-specialpos_{position}-fielding.shtml'
    soup = BeautifulSoup(requests.get(url).text, 'html.parser')
    table = soup.find('table', {'id': 'players_players_standard_fielding_fielding'})
    headers = []
    data = []
    indeces = []
    for row in table.find_all('tr'):
        row_data = []
        col_names = []
        for cell in row.find_all('td'):
            try:
                player_id = cell['data-append-csv']
                row_data.append(player_id)
                if len(headers) == 0:
                    col_names.append('key_bbref')
            except Exception as e:
                pass
            row_data.append(cell.text)
            if len(headers) == 0:
                col_names.append(cell['data-stat'])
        if len(row_data) > 0:
            data.append(row_data)
            indeces.append(row_data[0])
            if len(headers) == 0:
                headers.extend(col_names)
    pos_frame = pd.DataFrame(data, index=indeces, columns=headers).query('key_bbref == key_bbref')
    if position == 'p':
        return pos_frame.drop_duplicates(subset=['key_bbref'], keep='first')

    tmp = pos_frame[~pos_frame['chances'].isin(['0', '1', '2'])]
    return tmp.drop_duplicates(subset=['key_bbref'], keep='first')