import logging

import pydantic

from creation_helpers import mround, sanitize_chance_output
from decimal import Decimal
from typing import List, Literal


def get_pitcher_ratings(df_data) -> List[dict]:
    vl = PitchingCardRatingsModel(
        pitchingcard_id=df_data.pitchingcard_id,
        pit_hand=df_data.hand,
        vs_hand='L',
        all_hits=sanitize_chance_output((df_data['AVG_vL'] - 0.05) * 108),  # Subtracting chances from BP results
        all_other_ob=sanitize_chance_output(108 * (df_data['BB_vL'] + df_data['HBP_vL']) / df_data['TBF_vL']),
        hard_rate=df_data['Hard%_vL'],
        med_rate=df_data['Med%_vL'],
        soft_rate=df_data['Soft%_vL']
    )
    vr = PitchingCardRatingsModel(
        pitchingcard_id=df_data.pitchingcard_id,
        pit_hand=df_data.hand,
        vs_hand='R',
        all_hits=sanitize_chance_output((df_data['AVG_vR'] - 0.05) * 108),  # Subtracting chances from BP results
        all_other_ob=sanitize_chance_output(108 * (df_data['BB_vR'] + df_data['HBP_vR']) / df_data['TBF_vR']),
        hard_rate=df_data['Hard%_vR'],
        med_rate=df_data['Med%_vR'],
        soft_rate=df_data['Soft%_vR']
    )
    vl.all_outs = Decimal(108 - vl.all_hits - vl.all_other_ob).quantize(Decimal("0.05"))
    vr.all_outs = Decimal(108 - vr.all_hits - vr.all_other_ob).quantize(Decimal("0.05"))

    logging.info(
        f'vL - All Hits: {vl.all_hits} / Other OB: {vl.all_other_ob} / All Outs: {vl.all_outs} '
        f'/ Total: {vl.total_chances()}'
    )
    logging.info(
        f'vR - All Hits: {vr.all_hits} / Other OB: {vr.all_other_ob} / All Outs: {vr.all_outs} '
        f'/ Total: {vr.total_chances()}'
    )

    vl.calculate_singles(df_data['H_vL'], df_data['H_vL'] - df_data['2B_vL'] - df_data['3B_vL'] - df_data['HR_vL'])
    vr.calculate_singles(df_data['H_vR'], df_data['H_vR'] - df_data['2B_vR'] - df_data['3B_vR'] - df_data['HR_vR'])

    logging.info(f'vL: All Hits: {vl.all_hits} / BP Singles: {vl.bp_single} / Single 2: {vl.single_two} / '
                 f'Single 1: {vl.single_one} / Single CF: {vl.single_center}')
    logging.info(f'vR: All Hits: {vr.all_hits} / BP Singles: {vr.bp_single} / Single 2: {vr.single_two} / '
                 f'Single 1: {vr.single_one} / Single CF: {vr.single_center}')

    vl.calculate_xbh(df_data['2B_vL'], df_data['3B_vL'], df_data['HR_vL'], df_data['HR/FB_vL'])
    vr.calculate_xbh(df_data['2B_vR'], df_data['3B_vR'], df_data['HR_vR'], df_data['HR/FB_vR'])

    logging.debug(f'vL: All XBH: {vl.all_hits - vl.single_one - vl.single_two - vl.single_center - vl.bp_single} / '
                  f'Double**: {vl.double_two} / Double(cf): {vl.double_cf} / Triple: {vl.triple} / '
                  f'BP HR: {vl.bp_homerun} / ND HR: {vl.homerun}')
    logging.debug(f'vR: All XBH: {vr.all_hits - vr.single_one - vr.single_two - vr.single_center - vr.bp_single} / '
                  f'Double**: {vr.double_two} / Double(cf): {vr.double_cf} / Triple: {vr.triple} / '
                  f'BP HR: {vr.bp_homerun} / ND HR: {vr.homerun}')

    vl.calculate_other_ob(df_data['BB_vL'], df_data['HBP_vL'])
    vr.calculate_other_ob(df_data['BB_vR'], df_data['HBP_vR'])

    logging.info(f'vL: All other OB: {vl.all_other_ob} / HBP: {vl.hbp} / BB: {vl.walk} / '
                 f'Total Chances: {vl.total_chances()}')
    logging.info(f'vR: All other OB: {vr.all_other_ob} / HBP: {vr.hbp} / BB: {vr.walk} / '
                 f'Total Chances: {vr.total_chances()}')

    vl.calculate_strikouts(
        df_data['SO_vL'], df_data['TBF_vL'] - df_data['BB_vL'] - df_data['IBB_vL'] - df_data['HBP_vL'], df_data['H_vL'])
    vr.calculate_strikouts(
        df_data['SO_vR'], df_data['TBF_vR'] - df_data['BB_vR'] - df_data['IBB_vR'] - df_data['HBP_vR'], df_data['H_vR'])

    logging.info(f'vL: All Outs: {vl.all_outs} / Ks: {vl.strikeout} / Current Outs: {vl.total_outs()}')
    logging.info(f'vR: All Outs: {vr.all_outs} / Ks: {vr.strikeout} / Current Outs: {vr.total_outs()}')

    vl.calculate_other_outs(df_data['FB%_vL'], df_data['GB%_vL'], df_data['Oppo%_vL'])
    vr.calculate_other_outs(df_data['FB%_vR'], df_data['GB%_vR'], df_data['Oppo%_vR'])

    logging.info(f'vL: Total chances: {vl.total_chances()}')
    logging.info(f'vR: Total chances: {vr.total_chances()}')

    return [vl.custom_to_dict(), vr.custom_to_dict()]


class PitchingCardRatingsModel(pydantic.BaseModel):
    pitchingcard_id: int
    pit_hand: Literal['R', 'L']
    vs_hand: Literal['R', 'L']
    all_hits: Decimal = Decimal(0.0)
    all_other_ob: Decimal = Decimal(0.0)
    all_outs: Decimal = Decimal(0.0)
    rem_singles: Decimal = Decimal(0.0)
    rem_xbh: Decimal = Decimal(0.0)
    rem_hr: Decimal = Decimal(0.0)
    rem_doubles: Decimal = Decimal(0.0)
    hard_rate: Decimal
    med_rate: Decimal
    soft_rate: Decimal
    # pull_rate: Decimal
    # center_rate: Decimal
    # slap_rate: Decimal
    homerun: Decimal = Decimal(0.0)
    bp_homerun: Decimal = Decimal(0.0)
    triple: Decimal = Decimal(0.0)
    double_three: Decimal = Decimal(0.0)
    double_two: Decimal = Decimal(0.0)
    double_cf: Decimal = Decimal(0.0)
    single_two: Decimal = Decimal(0.0)
    single_one: Decimal = Decimal(0.0)
    single_center: Decimal = Decimal(0.0)
    bp_single: Decimal = Decimal(0.0)
    hbp: Decimal = Decimal(0.0)
    walk: Decimal = Decimal(0.0)
    strikeout: Decimal = Decimal(0.0)
    rem_flyballs: Decimal = Decimal(0.0)
    flyout_lf_b: Decimal = Decimal(0.0)
    flyout_cf_b: Decimal = Decimal(0.0)
    flyout_rf_b: Decimal = Decimal(0.0)
    rem_groundballs: Decimal = Decimal(0.0)
    groundout_a: Decimal = Decimal(0.0)
    groundout_b: Decimal = Decimal(0.0)
    xcheck_p: Decimal = Decimal(1.0)
    xcheck_c: Decimal = Decimal(3.0)
    xcheck_1b: Decimal = Decimal(2.0)
    xcheck_2b: Decimal = Decimal(6.0)
    xcheck_3b: Decimal = Decimal(3.0)
    xcheck_ss: Decimal = Decimal(7.0)
    xcheck_lf: Decimal = Decimal(2.0)
    xcheck_cf: Decimal = Decimal(3.0)
    xcheck_rf: Decimal = Decimal(2.0)
    avg: Decimal = 0.0
    obp: Decimal = 0.0
    slg: Decimal = 0.0

    def total_chances(self):
        return Decimal(sum([
            self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_cf,
            self.single_two, self.single_one, self.single_center, self.bp_single, self.hbp, self.walk, self.strikeout,
            self.flyout_lf_b, self.flyout_cf_b, self.flyout_rf_b, self.groundout_a, self.groundout_b, self.xcheck_p,
            self.xcheck_c, self.xcheck_1b, self.xcheck_2b, self.xcheck_3b, self.xcheck_ss, self.xcheck_lf,
            self.xcheck_cf, self.xcheck_rf
        ]))

    def total_hits(self):
        return Decimal(sum([
            self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_cf,
            self.single_two, self.single_one, self.single_center, self.bp_single
        ]))

    def total_ob(self):
        return Decimal(sum([
            self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_cf,
            self.single_two, self.single_one, self.single_center, self.bp_single, self.hbp, self.walk
        ]))

    def total_outs(self):
        return Decimal(sum([
            self.strikeout, self.flyout_lf_b, self.flyout_cf_b, self.flyout_rf_b, self.groundout_a, self.groundout_b,
            self.xcheck_p, self.xcheck_c, self.xcheck_1b, self.xcheck_2b, self.xcheck_3b, self.xcheck_ss,
            self.xcheck_lf, self.xcheck_cf, self.xcheck_rf
        ]))

    def custom_to_dict(self):
        return {
            'pitchingcard_id': self.pitchingcard_id,
            'vs_hand': self.vs_hand,
            'homerun': float(self.homerun),
            'bp_homerun': float(self.bp_homerun),
            'triple': float(self.triple),
            'double_three': float(self.double_three),
            'double_two': float(self.double_two),
            'double_cf': float(self.double_cf),
            'single_two': float(self.single_two),
            'single_one': float(self.single_one),
            'single_center': float(self.single_center),
            'bp_single': float(self.bp_single),
            'hbp': float(self.hbp),
            'walk': float(self.walk),
            'strikeout': float(self.strikeout),
            'flyout_lf_b': float(self.flyout_lf_b),
            'flyout_cf_b': float(self.flyout_cf_b),
            'flyout_rf_b': float(self.flyout_rf_b),
            'groundout_a': float(self.groundout_a),
            'groundout_b': float(self.groundout_b),
            'xcheck_p': float(self.xcheck_p),
            'xcheck_c': float(self.xcheck_c),
            'xcheck_1b': float(self.xcheck_1b),
            'xcheck_2b': float(self.xcheck_2b),
            'xcheck_3b': float(self.xcheck_3b),
            'xcheck_ss': float(self.xcheck_ss),
            'xcheck_lf': float(self.xcheck_lf),
            'xcheck_cf': float(self.xcheck_cf),
            'xcheck_rf': float(self.xcheck_rf)
        }

    def calculate_singles(self, szn_hits, szn_singles):
        if szn_hits == 0:
            return

        tot = sanitize_chance_output(self.all_hits * Decimal(szn_singles / szn_hits))
        logging.debug(f'total singles: {tot}')
        self.rem_singles = tot

        self.bp_single = Decimal(5) if self.rem_singles >= 5 else Decimal(0)
        self.rem_singles -= self.bp_single

        self.single_two = sanitize_chance_output(self.rem_singles / 2) if self.hard_rate >= 0.2 else Decimal(0)
        self.rem_singles -= self.single_two

        self.single_one = sanitize_chance_output(self.rem_singles) if self.soft_rate >= .2 else Decimal(0)
        self.rem_singles -= self.single_one

        self.single_center = sanitize_chance_output(self.rem_singles)
        self.rem_singles -= self.single_center

        self.rem_xbh = self.all_hits - self.single_center - self.single_one - self.single_two - self.bp_single
        logging.info(f'remaining singles: {self.rem_singles} / total xbh: {self.rem_xbh}')

    def calculate_xbh(self, szn_doubles, szn_triples, szn_homeruns, hr_per_fb_rate):
        szn_xbh = szn_doubles + szn_triples + szn_homeruns
        if szn_xbh == 0:
            return

        hr_rate = Decimal(szn_homeruns / szn_xbh)
        tr_rate = Decimal(szn_triples / szn_xbh)
        do_rate = Decimal(szn_doubles / szn_xbh)
        logging.info(f'hr%: {hr_rate:.2f} / tr%: {tr_rate:.2f} / do%: {do_rate:.2f}')

        raw_do_chances = sanitize_chance_output(Decimal(self.rem_xbh * do_rate))
        logging.info(f'raw do chances: {raw_do_chances}')
        self.double_two = raw_do_chances if self.soft_rate > .2 else Decimal(0)
        self.double_cf = raw_do_chances - self.double_two
        self.rem_xbh -= (self.double_two + self.double_cf + self.double_three)
        logging.info(f'Double**: {self.double_two} / Double(cf): {self.double_cf} / rem xbh: {self.rem_xbh}')

        self.triple = sanitize_chance_output(Decimal(self.rem_xbh * tr_rate))
        self.rem_xbh -= self.triple
        logging.info(f'Triple: {self.triple} / rem xbh: {self.rem_xbh}')

        raw_hr_chances = self.rem_xbh
        logging.info(f'raw hr chances: {raw_hr_chances}')

        if hr_per_fb_rate < .08:
            self.bp_homerun = sanitize_chance_output(raw_hr_chances, rounding=1.0)
        elif hr_per_fb_rate > .28:
            self.homerun = raw_hr_chances
        elif hr_per_fb_rate > .18:
            self.bp_homerun = sanitize_chance_output(raw_hr_chances * Decimal(0.4), rounding=1.0)
            self.homerun = self.rem_xbh - self.bp_homerun
        else:
            self.bp_homerun = sanitize_chance_output(raw_hr_chances * Decimal(.75), rounding=1.0)
            self.homerun = self.rem_xbh - self.bp_homerun
        logging.info(f'BP HR: {self.bp_homerun} / ND HR: {self.homerun}')

        self.rem_xbh -= (self.bp_homerun + self.homerun)
        logging.info(f'excess xbh: {self.rem_xbh}')

        if self.rem_xbh > 0:
            if self.triple > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to triple')
                self.triple += self.rem_xbh
                self.rem_xbh = Decimal(0)
            elif self.double_cf > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to double(cf)')
                self.double_cf += self.rem_xbh
                self.rem_xbh = Decimal(0)
            elif self.double_two > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to double**')
                self.double_two += self.rem_xbh
                self.rem_xbh = Decimal(0)
            elif self.single_two > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to single**')
                self.single_two += self.rem_xbh
                self.rem_xbh = Decimal(0)
            elif self.single_center > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to single(cf)')
                self.single_center += self.rem_xbh
                self.rem_xbh = Decimal(0)
            elif self.single_one > 1:
                logging.info(f'Passing {self.rem_xbh} xbh to single*')
                self.single_one += self.rem_xbh
                self.rem_xbh = Decimal(0)
            else:
                logging.info(f'Passing {self.rem_xbh} xbh to other_ob')
                self.all_other_ob += self.rem_xbh

    def calculate_other_ob(self, szn_walks, szn_hbp):
        if szn_walks + szn_hbp == 0:
            return

        self.hbp = sanitize_chance_output(self.all_other_ob * Decimal(szn_hbp / (szn_walks + szn_hbp)), rounding=1.0)
        self.walk = self.all_other_ob - self.hbp

    def calculate_strikouts(self, szn_strikeouts, szn_ab, szn_hits):
        self.strikeout = sanitize_chance_output(self.all_outs * Decimal((szn_strikeouts * 1.2) / (szn_ab - szn_hits)))

    def calculate_other_outs(self, fb_pct, gb_pct, oppo_pct):
        rem_outs = Decimal(108) - self.total_chances()

        all_fo = sanitize_chance_output(rem_outs * Decimal(fb_pct))
        if self.pit_hand == 'L':
            self.flyout_lf_b = sanitize_chance_output(all_fo * Decimal(oppo_pct))
        else:
            self.flyout_rf_b = sanitize_chance_output(all_fo * Decimal(oppo_pct))
        self.flyout_cf_b = all_fo - self.flyout_lf_b - self.flyout_rf_b
        rem_outs -= (self.flyout_lf_b + self.flyout_cf_b + self.flyout_rf_b)

        all_gb = rem_outs
        self.groundout_a = sanitize_chance_output(all_gb * self.soft_rate)
        self.groundout_b = sanitize_chance_output(all_gb - self.groundout_a)

        rem_chances = Decimal(108) - self.total_chances()
        logging.info(f'Remaining outs: {rem_chances}')

        if self.strikeout > 1:
            logging.info(f'Passing {rem_chances} outs to strikeouts')
            self.strikeout += rem_chances
        elif self.flyout_cf_b > 1:
            logging.info(f'Passing {rem_chances} outs to fly(cf)')
            self.flyout_cf_b += rem_chances
        elif self.flyout_rf_b > 1:
            logging.info(f'Passing {rem_chances} outs to fly(rf)')
            self.flyout_rf_b += rem_chances
        elif self.flyout_lf_b > 1:
            logging.info(f'Passing {rem_chances} outs to fly(lf)')
            self.flyout_lf_b += rem_chances
        elif self.groundout_a > 1:
            logging.info(f'Passing {rem_chances} outs to gbA')
            self.groundout_a += rem_chances
        elif self.single_one > 1:
            logging.info(f'Passing {rem_chances} outs to single*')
            self.single_one += rem_chances
        elif self.single_center > 1:
            logging.info(f'Passing {rem_chances} outs to single(cf)')
            self.single_center += rem_chances
        elif self.single_two > 1:
            logging.info(f'Passing {rem_chances} outs to single**')
            self.single_two += rem_chances
        elif self.double_two > 1:
            logging.info(f'Passing {rem_chances} outs to double**')
            self.double_two += rem_chances
        elif self.double_cf > 1:
            logging.info(f'Passing {rem_chances} outs to double(cf)')
            self.double_cf += rem_chances
        elif self.triple > 1:
            logging.info(f'Passing {rem_chances} outs to triple')
            self.triple += rem_chances
        elif self.homerun > 1:
            logging.info(f'Passing {rem_chances} outs to homerun')
            self.homerun += rem_chances
        else:
            raise ValueError(f'Could not complete card')


def total_chances(chance_data):
    sum_chances = 0
    for key in chance_data:
        if key not in ['id', 'player_id', 'cardset_id', 'vs_hand', 'is_prep']:
            sum_chances += chance_data[key]

    return sum_chances


def soft_rate(pct):
    if pct > .2:
        return 'high'
    elif pct < .1:
        return 'low'
    else:
        return 'avg'


def med_rate(pct):
    if pct > .65:
        return 'high'
    elif pct < .4:
        return 'low'
    else:
        return 'avg'


def hard_rate(pct):
    if pct > .4:
        return 'high'
    elif pct < .2:
        return 'low'
    else:
        return 'avg'


def hr_per_fb_rate(pct):
    if pct > .18:
        return 'high'
    elif pct < .08:
        return 'low'
    else:
        return 'avg'


def all_singles(row, hits_vl, hits_vr):
    if int(row[7]) == 0:
        tot_singles_vl = 0
    else:
        tot_singles_vl = hits_vl * ((int(row[7]) - int(row[8]) - int(row[9]) - int(row[12]))
                                    / int(row[7]))
    if int(row[40]) == 0:
        tot_singles_vr = 0
    else:
        tot_singles_vr = hits_vr * ((int(row[40]) - int(row[41]) - int(row[42]) - int(row[45]))
                                    / int(row[40]))

    return mround(tot_singles_vl), mround(tot_singles_vr)


def bp_singles(singles_vl, singles_vr):
    bpsi_vl = 5 if singles_vl >= 5 else 0
    bpsi_vr = 5 if singles_vr >= 5 else 0

    return mround(bpsi_vl), mround(bpsi_vr)


def wh_singles(rem_si_vl, rem_si_vr, hard_rate_vl, hard_rate_vr):
    if hard_rate_vl == 'low':
        whs_vl = 0
    else:
        whs_vl = rem_si_vl / 2

    if hard_rate_vr == 'low':
        whs_vr = 0
    else:
        whs_vr = rem_si_vr / 2

    return mround(whs_vl), mround(whs_vr)


def one_singles(rem_si_vl, rem_si_vr, soft_rate_vl, soft_rate_vr):
    if soft_rate_vl == 'high':
        oss_vl = rem_si_vl
    else:
        oss_vl = 0

    if soft_rate_vr == 'high':
        oss_vr = rem_si_vr
    else:
        oss_vr = 0

    return mround(oss_vl), mround(oss_vr)


def bp_homerun(hr_vl, hr_vr, hr_rate_vl, hr_rate_vr):
    if hr_rate_vl == 'low':
        bphr_vl = hr_vl
    elif hr_rate_vl == 'avg':
        bphr_vl = hr_vl * .75
    else:
        bphr_vl = hr_vl * .4

    if hr_rate_vr == 'low':
        bphr_vr = hr_vr
    elif hr_rate_vr == 'avg':
        bphr_vr = hr_vr * .75
    else:
        bphr_vr = hr_vr * .4

    return mround(bphr_vl), mround(bphr_vr)


def triples(all_xbh_vl, all_xbh_vr, triple_rate_vl, triple_rate_vr):
    tr_vl = all_xbh_vl * triple_rate_vl if all_xbh_vl > 0 else 0
    tr_vr = all_xbh_vr * triple_rate_vr if all_xbh_vr > 0 else 0

    return mround(tr_vl), mround(tr_vr)


def two_doubles(all_doubles_vl, all_doubles_vr, soft_rate_vl, soft_rate_vr):
    two_doubles_vl = all_doubles_vl if soft_rate_vl == 'high' else 0
    two_doubles_vr = all_doubles_vr if soft_rate_vr == 'high' else 0

    return mround(two_doubles_vl), mround(two_doubles_vr)


def hbp_rate(hbp, bb):
    if hbp == 0:
        return 0
    elif bb == 0:
        return 1
    else:
        return hbp / bb


def hbps(all_ob, this_hbp_rate):
    if all_ob == 0 or this_hbp_rate == 0:
        return 0
    else:
        return mround(all_ob * this_hbp_rate)


def xchecks(pos, all_chances=True):
    if pos.lower() == 'p':
        return 1 if all_chances else 0
    elif pos.lower() == 'c':
        return 3 if all_chances else 2
    elif pos.lower() == '1b':
        return 2 if all_chances else 1
    elif pos.lower() == '2b':
        return 6 if all_chances else 5
    elif pos.lower() == '3b':
        return 3 if all_chances else 2
    elif pos.lower() == 'ss':
        return 7 if all_chances else 6
    elif pos.lower() == 'lf':
        return 2 if all_chances else 1
    elif pos.lower() == 'cf':
        return 3 if all_chances else 2
    else:
        return 2 if all_chances else 1


def oppo_fly(all_fly, oppo_rate):
    if all_fly == 0 or oppo_rate == 0:
        return 0
    else:
        return mround(all_fly * oppo_rate)


def groundball_a(all_gb, dp_rate):
    if all_gb == 0 or dp_rate == 0:
        return 0
    elif dp_rate > .6:
        return all_gb
    else:
        return mround(all_gb * (dp_rate * 1.5))


def balks(total_balks: int, innings: float, season_pct):
    if innings == 0:
        return 0
    return min(round((total_balks * 290 * season_pct) / innings), 20)


def wild_pitches(total_wps: int, innings: float, season_pct):
    if innings == 0:
        return 0
    return min(round((total_wps * 200 * season_pct) / innings), 20)


def closer_rating(gf: int, saves: int, games: int):
    if gf == 0 or games == 0 or saves == 0:
        return None

    if gf / games >= .875:
        return 6
    elif gf / games >= .8:
        return 5
    elif gf / games >= .7:
        return 4
    elif gf / games >= .55:
        return 3
    elif gf / games >= .4:
        return 2
    elif gf / games >= .25:
        return 1
    elif gf / games >= .1:
        return 0
    else:
        return None