import random

import pydantic

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


class BattingCardRatingsModel(pydantic.BaseModel):
    battingcard_id: int
    bat_hand: Literal["R", "L", "S"]
    vs_hand: Literal["R", "L"]
    all_hits: float = 0.0
    all_other_ob: float = 0.0
    all_outs: float = 0.0
    rem_singles: float = 0.0
    rem_xbh: float = 0.0
    rem_hr: float = 0.0
    rem_doubles: float = 0.0
    hard_rate: float
    med_rate: float
    soft_rate: float
    pull_rate: float
    center_rate: float
    slap_rate: float
    homerun: float = 0.0
    bp_homerun: float = 0.0
    triple: float = 0.0
    double_three: float = 0.0
    double_two: float = 0.0
    double_pull: float = 0.0
    single_two: float = 0.0
    single_one: float = 0.0
    single_center: float = 0.0
    bp_single: float = 0.0
    hbp: float = 0.0
    walk: float = 0.0
    strikeout: float = 0.0
    lineout: float = 0.0
    popout: float = 0.0
    rem_flyballs: float = 0.0
    flyout_a: float = 0.0
    flyout_bq: float = 0.0
    flyout_lf_b: float = 0.0
    flyout_rf_b: float = 0.0
    rem_groundballs: float = 0.0
    groundout_a: float = 0.0
    groundout_b: float = 0.0
    groundout_c: float = 0.0
    avg: float = 0.0
    obp: float = 0.0
    slg: float = 0.0

    def total_chances(self):
        return mround(
            sum(
                [
                    self.homerun,
                    self.bp_homerun,
                    self.triple,
                    self.double_three,
                    self.double_two,
                    self.double_pull,
                    self.single_two,
                    self.single_one,
                    self.single_center,
                    self.bp_single,
                    self.hbp,
                    self.walk,
                    self.strikeout,
                    self.lineout,
                    self.popout,
                    self.flyout_a,
                    self.flyout_bq,
                    self.flyout_lf_b,
                    self.flyout_rf_b,
                    self.groundout_a,
                    self.groundout_b,
                    self.groundout_c,
                ]
            )
        )

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

    def rem_hits(self):
        return self.all_hits - sum(
            [
                self.homerun,
                self.bp_homerun,
                self.triple,
                self.double_three,
                self.double_two,
                self.double_pull,
                self.single_two,
                self.single_one,
                self.single_center,
                self.bp_single,
            ]
        )

    def rem_outs(self):
        return mround(
            self.all_outs
            - sum(
                [
                    self.strikeout,
                    self.lineout,
                    self.popout,
                    self.flyout_a,
                    self.flyout_bq,
                    self.flyout_lf_b,
                    self.flyout_rf_b,
                    self.groundout_a,
                    self.groundout_b,
                    self.groundout_c,
                ]
            )
        )

    def rem_other_ob(self):
        return self.all_other_ob - self.hbp - self.walk

    def calculate_singles(self, szn_singles, szn_hits, ifh_rate: Decimal):
        tot = sanitize_chance_output(
            self.all_hits * mround((szn_singles * 0.8) / max(szn_hits, 1))
        )
        logger.debug(f"tot: {tot}")
        self.rem_singles = tot

        self.bp_single = bp_singles(self.rem_singles)
        self.rem_singles -= self.bp_single

        self.single_two = wh_singles(self.rem_singles, self.hard_rate)
        self.rem_singles -= self.single_two

        self.single_one = one_singles(self.rem_singles, ifh_rate)
        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.bp_single
            - self.single_two
            - self.single_one
            - self.single_center
        )

    def calculate_xbh(self, szn_triples, szn_doubles, szn_hr, hr_per_fb: Decimal):
        self.triple = triples(self.rem_xbh, szn_triples, szn_doubles + szn_hr)
        self.rem_xbh -= self.triple

        tot_doubles = sanitize_chance_output(
            self.rem_xbh * mround(szn_doubles / max(szn_hr + szn_doubles, 1))
        )
        self.double_two = two_doubles(tot_doubles, self.soft_rate)
        self.double_pull = sanitize_chance_output(tot_doubles - self.double_two)
        self.rem_xbh -= mround(self.double_two + self.double_pull)

        if (self.rem_xbh > mround(0)) and szn_hr > 0:
            self.bp_homerun = bp_homeruns(self.rem_xbh, hr_per_fb)
            self.homerun = sanitize_chance_output(
                self.rem_xbh - self.bp_homerun, min_chances=0.5
            )
            self.rem_xbh -= mround(self.bp_homerun + self.homerun)

        if szn_triples > 0 and self.rem_xbh > 0:
            logger.error(f"Adding {self.rem_xbh} results to triples")
            self.triple += sanitize_chance_output(self.rem_xbh, min_chances=0.5)
        elif self.rem_xbh > 0:
            logger.error(f"Adding {self.rem_xbh} results to all other ob")
            # print(self)
            self.all_other_ob += self.rem_xbh

    def calculate_other_ob(self, szn_bb, szn_hbp):
        self.hbp = hit_by_pitch(self.all_other_ob, szn_hbp, szn_bb)
        self.walk = sanitize_chance_output(self.all_other_ob - self.hbp)

        if self.walk + self.hbp < self.all_other_ob:
            rem = self.all_other_ob - self.walk - self.hbp
            logger.error(f"Adding {rem} chances to all_outs")
            # print(self)
            self.all_outs += mround(rem)

    def calculate_strikeouts(self, szn_so, szn_ab, szn_hits):
        self.strikeout = strikeouts(self.all_outs, (szn_so / max(szn_ab - szn_hits, 1)))

    def calculate_other_outs(self, fb_rate, ld_rate, gb_rate, szn_gidp, szn_ab):
        self.rem_flyballs = sanitize_chance_output(self.rem_outs() * mround(fb_rate))
        self.flyout_a = flyout_a(self.rem_flyballs, self.hard_rate)
        self.rem_flyballs -= self.flyout_a

        self.flyout_bq = flyout_bq(self.rem_flyballs, self.soft_rate)
        self.rem_flyballs -= self.flyout_bq

        self.flyout_lf_b = flyout_b(
            self.rem_flyballs,
            pull_rate=self.pull_rate if self.bat_hand == "R" else self.slap_rate,
            cent_rate=self.center_rate,
        )
        self.rem_flyballs -= self.flyout_lf_b
        self.flyout_rf_b = sanitize_chance_output(self.rem_flyballs)
        self.rem_flyballs -= self.flyout_rf_b

        if self.rem_flyballs > 0:
            logger.debug(f"Adding {self.rem_flyballs} chances to lineouts")

        tot_oneouts = sanitize_chance_output(
            self.rem_outs() * mround(ld_rate / max(ld_rate + gb_rate, 0.01))
        )
        self.lineout = sanitize_chance_output(mround(random.random()) * tot_oneouts)
        self.popout = sanitize_chance_output(tot_oneouts - self.lineout)

        self.groundout_a = groundball_a(self.rem_outs(), szn_gidp, szn_ab)
        self.groundout_c = groundball_c(self.rem_outs(), self.med_rate)
        self.groundout_b = self.rem_outs()

    def calculate_rate_stats(self):
        self.avg = mround(self.total_hits() / 108, prec=5, base=0.00001)
        self.obp = mround(
            (self.total_hits() + self.hbp + self.walk) / 108, prec=5, base=0.00001
        )
        self.slg = mround(
            (
                self.homerun * 4
                + self.triple * 3
                + self.single_center
                + self.single_two
                + self.single_two
                + (
                    self.double_two
                    + self.double_three
                    + self.double_two
                    + self.bp_homerun
                )
                * 2
                + self.bp_single / 2
            )
            / 108,
            prec=5,
            base=0.00001,
        )

    def custom_to_dict(self):
        self.calculate_rate_stats()
        return {
            "battingcard_id": self.battingcard_id,
            "vs_hand": self.vs_hand,
            "homerun": self.homerun,
            "bp_homerun": self.bp_homerun,
            "triple": self.triple,
            "double_three": self.double_three,
            "double_two": self.double_two,
            "double_pull": self.double_pull,
            "single_two": self.single_two,
            "single_one": self.single_one,
            "single_center": self.single_center,
            "bp_single": self.bp_single,
            "hbp": self.hbp,
            "walk": self.walk,
            "strikeout": mround(self.strikeout),
            "lineout": self.lineout,
            "popout": self.popout,
            "flyout_a": self.flyout_a,
            "flyout_bq": self.flyout_bq,
            "flyout_lf_b": self.flyout_lf_b,
            "flyout_rf_b": self.flyout_rf_b,
            "groundout_a": self.groundout_a,
            "groundout_b": self.groundout_b,
            "groundout_c": self.groundout_c,
            "pull_rate": self.pull_rate,
            "center_rate": self.center_rate,
            "slap_rate": self.slap_rate,
            "avg": self.avg,
            "obp": self.obp,
            "slg": self.slg,
        }


# 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 mround(sum_chances)


def total_singles(all_hits, szn_singles, szn_hits):
    return sanitize_chance_output(all_hits * ((szn_singles * 0.8) / max(szn_hits, 1)))


def bp_singles(all_singles):
    if all_singles < 6:
        return mround(0)
    else:
        return mround(5)


def wh_singles(rem_singles, hard_rate):
    if rem_singles == 0 or hard_rate < 0.2:
        return 0
    elif hard_rate > 0.4:
        return sanitize_chance_output(rem_singles * 2 / 3, min_chances=2)
    else:
        return sanitize_chance_output(rem_singles / 3, min_chances=2)


def one_singles(rem_singles, ifh_rate, force_rem=False):
    if force_rem:
        return mround(rem_singles)
    elif rem_singles == 0 or ifh_rate < 0.05:
        return mround(0)
    else:
        return sanitize_chance_output(
            rem_singles * min(ifh_rate * mround(3), 0.75), min_chances=2
        )


def all_homeruns(rem_hits, all_hits, hrs, hits, singles):
    if rem_hits == 0 or all_hits == 0 or hrs == 0 or hits - singles == 0:
        return 0
    else:
        return mround(min(rem_hits, all_hits * ((hrs * 1.15) / max(hits, 1))))


def nd_homeruns(all_hr, hr_rate):
    if all_hr == 0 or hr_rate == 0:
        return mround(0)
    elif hr_rate > 0.2:
        return sanitize_chance_output(all_hr * 0.6)
    else:
        return sanitize_chance_output(all_hr * 0.25)


def bp_homeruns(all_hr, hr_rate):
    if all_hr == 0 or hr_rate == 0:
        return mround(0)
    elif hr_rate > 0.2:
        return mround(all_hr * 0.4, base=1.0)
    else:
        return mround(all_hr * 0.8, base=1.0)


def triples(all_xbh, tr_count, do_count):
    if all_xbh == mround(0) or tr_count == mround(0):
        return mround(0)
    else:
        return sanitize_chance_output(
            all_xbh * mround(tr_count / max(tr_count + do_count, 1)), min_chances=1
        )


def two_doubles(all_doubles, soft_rate):
    if all_doubles == 0 or soft_rate == 0:
        return mround(0)
    elif soft_rate > 0.2:
        return sanitize_chance_output(all_doubles / 2)
    else:
        return sanitize_chance_output(all_doubles / 4)


def hit_by_pitch(other_ob, hbps, walks):
    if hbps == 0 or other_ob * mround(hbps / max(hbps + walks, 1)) < 1:
        return 0
    else:
        return sanitize_chance_output(
            other_ob * mround(hbps / max(hbps + walks, 1)), rounding=1.0
        )


def strikeouts(all_outs, k_rate):
    if all_outs == 0 or k_rate == 0:
        return mround(0)
    else:
        return sanitize_chance_output(all_outs * k_rate)


def flyout_a(all_flyouts, hard_rate):
    if all_flyouts == 0 or hard_rate < 0.4:
        return mround(0)
    else:
        return mround(1.0)


def flyout_bq(rem_flyouts, soft_rate):
    if rem_flyouts == 0 or soft_rate < 0.1:
        return mround(0)
    else:
        return sanitize_chance_output(rem_flyouts * min(soft_rate * 3, mround(0.75)))


def flyout_b(rem_flyouts, pull_rate, cent_rate):
    if rem_flyouts == 0 or pull_rate == 0:
        return mround(0)
    else:
        return sanitize_chance_output(rem_flyouts * (pull_rate + cent_rate / 2))


def popouts(rem_outs, iffb_rate):
    if rem_outs == 0 or iffb_rate * rem_outs < 1:
        return 0
    else:
        return mround(rem_outs * iffb_rate)


def groundball_a(all_groundouts, gidps, abs):
    if all_groundouts == 0 or gidps == 0:
        return mround(0)
    else:
        return sanitize_chance_output(
            mround(min(gidps**2.5, abs) / max(abs, 1)) * all_groundouts
        )


def groundball_c(rem_groundouts, med_rate):
    if rem_groundouts == 0 or med_rate < 0.4:
        return mround(0)
    elif med_rate > 0.6:
        return sanitize_chance_output(rem_groundouts)
    else:
        return sanitize_chance_output(rem_groundouts * med_rate)


def stealing(
    chances: int, sb2s: int, cs2s: int, sb3s: int, cs3s: int, season_pct: float
):
    if chances == 0 or sb2s + cs2s == 0:
        return 0, 0, False, 0

    total_attempts = sb2s + cs2s + sb3s + cs3s
    attempt_pct = total_attempts / chances

    if attempt_pct >= 0.08:
        st_auto = True
    else:
        st_auto = False

    # chance_odds = [x / 36 for x in range(1, 36)]
    if attempt_pct * 1.5 >= 1.0:
        st_jump = 1.0
    else:
        st_jump = 0
        for x in range(1, 37):
            if attempt_pct * 1.5 <= x / 36:
                st_jump = x / 36
                break

    st_high = mround(20 * (sb2s / (sb2s + cs2s + cs2s)))
    if st_high <= 10:
        st_auto = False

    if sb3s + cs3s < max((3 * season_pct), 1):
        st_low = 3
    else:
        st_low = mround(16 * ((sb2s + sb3s) / (sb2s + sb3s + cs2s * 2 + cs3s * 2)))
        if not st_auto:
            st_low = min(st_low, 10)

    if st_low >= st_high - 3:
        if st_high == 0:
            st_low = 0
            st_jump = 0
        elif st_high <= 3:
            st_high = 4
            st_low = 1
        else:
            st_low = st_high - 3

    # if ((st_high - 7) > st_low) and st_high > 7:
    #     st_low = st_high - 7

    return round(st_low), round(st_high), st_auto, st_jump


def stealing_line(steal_data: dict):
    sd = steal_data
    jump_chances = round(sd[3] * 36)

    if jump_chances == 0:
        good_jump = "-"
    elif jump_chances <= 6:
        if jump_chances == 6:
            good_jump = 7
        elif jump_chances == 5:
            good_jump = 6
        elif jump_chances == 4:
            good_jump = 5
        elif jump_chances == 3:
            good_jump = 4
        elif jump_chances == 2:
            good_jump = 3
        elif jump_chances == 1:
            good_jump = 2
    elif jump_chances == 7:
        good_jump = "4,5"
    elif jump_chances == 8:
        good_jump = "4,6"
    elif jump_chances == 9:
        good_jump = "3-5"
    elif jump_chances == 10:
        good_jump = "2-5"
    elif jump_chances == 11:
        good_jump = "6,7"
    elif jump_chances == 12:
        good_jump = "4-6"
    elif jump_chances == 13:
        good_jump = "2,4-6"
    elif jump_chances == 14:
        good_jump = "3-6"
    elif jump_chances == 15:
        good_jump = "2-6"
    elif jump_chances == 16:
        good_jump = "2,5-6"
    elif jump_chances == 17:
        good_jump = "3,5-6"
    elif jump_chances == 18:
        good_jump = "4-6"
    elif jump_chances == 19:
        good_jump = "2,4-7"
    elif jump_chances == 20:
        good_jump = "3-7"
    elif jump_chances == 21:
        good_jump = "2-7"
    elif jump_chances == 22:
        good_jump = "2-7,12"
    elif jump_chances == 23:
        good_jump = "2-7,11"
    elif jump_chances == 24:
        good_jump = "2,4-8"
    elif jump_chances == 25:
        good_jump = "3-8"
    elif jump_chances == 26:
        good_jump = "2-8"
    elif jump_chances == 27:
        good_jump = "2-8,12"
    elif jump_chances == 28:
        good_jump = "2-8,11"
    elif jump_chances == 29:
        good_jump = "3-9"
    elif jump_chances == 30:
        good_jump = "2-9"
    elif jump_chances == 31:
        good_jump = "2-9,12"
    elif jump_chances == 32:
        good_jump = "2-9,11"
    elif jump_chances == 33:
        good_jump = "2-10"
    elif jump_chances == 34:
        good_jump = "3-11"
    elif jump_chances == 35:
        good_jump = "2-11"
    else:
        good_jump = "2-12"

    return f"{'*' if sd[2] else ''}{good_jump}/- ({sd[1] if sd[1] else '-'}-{sd[0] if sd[0] else '-'})"


def running(extra_base_pct: str):
    if extra_base_pct == "":
        return 8
    try:
        xb_pct = float(extra_base_pct.strip("%")) / 80
    except Exception as e:
        logger.error(f"calcs_batter running - {e}")
        return 8

    return max(min(round(6 + (10 * xb_pct)), 17), 8)


def bunting(num_bunts: int, season_pct: float):
    if num_bunts > max(round(10 * season_pct), 4):
        return "A"
    elif num_bunts > max(round(5 * season_pct), 2):
        return "B"
    elif num_bunts > 1:
        return "C"
    else:
        return "D"


def hit_and_run(
    ab_vl: int,
    ab_vr: int,
    hits_vl: int,
    hits_vr: int,
    hr_vl: int,
    hr_vr: int,
    so_vl: int,
    so_vr: int,
):
    babip = (hits_vr + hits_vl - hr_vl - hr_vr) / max(
        ab_vl + ab_vr - so_vl - so_vr - hr_vl - hr_vl, 1
    )
    if babip >= 0.35:
        return "A"
    elif babip >= 0.3:
        return "B"
    elif babip >= 0.25:
        return "C"
    else:
        return "D"


def get_batter_ratings(df_data) -> List[dict]:
    # Consider a sliding offense_mod based on OPS; floor of 1x and ceiling of 1.5x ?
    offense_mod = 1.2
    vl = BattingCardRatingsModel(
        battingcard_id=df_data.battingcard_id,
        bat_hand=df_data["bat_hand"],
        vs_hand="L",
        all_hits=sanitize_chance_output(108 * offense_mod * df_data["AVG_vL"]),
        all_other_ob=sanitize_chance_output(
            108
            * offense_mod
            * ((df_data["BB_vL"] + df_data["HBP_vL"]) / df_data["PA_vL"])
        ),
        hard_rate=df_data["Hard%_vL"],
        med_rate=df_data["Med%_vL"],
        soft_rate=df_data["Soft%_vL"],
        pull_rate=df_data["Pull%_vL"],
        center_rate=df_data["Cent%_vL"],
        slap_rate=df_data["Oppo%_vL"],
    )
    vr = BattingCardRatingsModel(
        battingcard_id=df_data.battingcard_id,
        bat_hand=df_data["bat_hand"],
        vs_hand="R",
        all_hits=sanitize_chance_output(108 * offense_mod * df_data["AVG_vR"]),
        all_other_ob=sanitize_chance_output(
            108
            * offense_mod
            * ((df_data["BB_vR"] + df_data["HBP_vR"]) / df_data["PA_vR"])
        ),
        hard_rate=df_data["Hard%_vR"],
        med_rate=df_data["Med%_vR"],
        soft_rate=df_data["Soft%_vR"],
        pull_rate=df_data["Pull%_vR"],
        center_rate=df_data["Cent%_vR"],
        slap_rate=df_data["Oppo%_vR"],
    )
    vl.all_outs = mround(
        108 - vl.all_hits - vl.all_other_ob
    )  # .quantize(Decimal("0.05"))
    vr.all_outs = mround(
        108 - vr.all_hits - vr.all_other_ob
    )  # .quantize(Decimal("0.05"))

    vl.calculate_singles(df_data["1B_vL"], df_data["H_vL"], mround(df_data["IFH%_vL"]))
    vr.calculate_singles(df_data["1B_vR"], df_data["H_vR"], mround(df_data["IFH%_vR"]))

    logger.debug(
        f"vL - All Hits: {vl.all_hits} / Other OB: {vl.all_other_ob} / All Outs: {vl.all_outs} "
        f"/ Total: {vl.all_hits + vl.all_other_ob + vl.all_outs}"
    )
    logger.debug(
        f"vR - All Hits: {vr.all_hits} / Other OB: {vr.all_other_ob} / All Outs: {vr.all_outs} "
        f"/ Total: {vr.all_hits + vr.all_other_ob + vr.all_outs}"
    )

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

    logger.debug(f"all_hits: {vl.all_hits} / sum of hits: {vl.total_chances()}")
    logger.debug(f"all_hits: {vr.all_hits} / sum of hits: {vr.total_chances()}")

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

    logger.debug(
        f"all on base: {vl.hbp + vl.walk + vl.total_hits()} / all chances: {vl.total_chances()}"
        f"{'*******ERROR ABOVE*******' if vl.hbp + vl.walk + vl.total_hits() != vl.total_chances() else ''}"
    )
    logger.debug(
        f"all on base: {vr.hbp + vr.walk + vr.total_hits()} / all chances: {vr.total_chances()}"
        f"{'*******ERROR ABOVE*******' if vr.hbp + vr.walk + vr.total_hits() != vr.total_chances() else ''}"
    )

    vl.calculate_strikeouts(df_data["SO_vL"], df_data["AB_vL"], df_data["H_vL"])
    vr.calculate_strikeouts(df_data["SO_vR"], df_data["AB_vR"], df_data["H_vR"])

    logger.debug(
        f"K rate vL: {round(vl.strikeout / vl.all_outs, 2)} / "
        f"K rate vR: {round(vr.strikeout / vr.all_outs, 2)}"
    )

    vl.calculate_other_outs(
        df_data["FB%_vL"],
        df_data["LD%_vL"],
        df_data["GB%_vL"],
        df_data["GDP_vL"],
        df_data["AB_vL"],
    )
    vr.calculate_other_outs(
        df_data["FB%_vR"],
        df_data["LD%_vR"],
        df_data["GB%_vR"],
        df_data["GDP_vR"],
        df_data["AB_vR"],
    )

    # Correct total chance errors
    for x in [vl, vr]:
        if x.total_chances() < 108:
            diff = mround(108) - x.total_chances()
            logger.error(f"Adding {diff} strikeouts to close gap")
            x.strikeout += diff
        elif x.total_chances() > 108:
            diff = x.total_chances() - mround(108)
            logger.error(f"Have surplus of {diff} chances")
            if x.strikeout + 1 > diff:
                logger.error(f"Subtracting {diff} strikeouts to close gap")
                x.strikeout -= diff
            elif x.lineout + 1 > diff:
                logger.error(f"Subtracting {diff} lineouts to close gap")
                x.lineout -= diff
            elif x.groundout_a + 1 > diff:
                logger.error(f"Subtracting {diff} gbA to close gap")
                x.groundout_a -= diff
            elif x.groundout_b + 1 > diff:
                logger.error(f"Subtracting {diff} gbB to close gap")
                x.groundout_b -= diff
            elif x.groundout_c + 1 > diff:
                logger.error(f"Subtracting {diff} gbC to close gap")
                x.groundout_c -= diff

    vl_total_chances = vl.total_chances()
    vr_total_chances = vr.total_chances()
    if vl_total_chances != 108:
        logger.error(f"total chances for {df_data.name} come to {vl_total_chances}")
    else:
        logger.debug(f"total chances: {vl_total_chances}")
    if vr_total_chances != 108:
        logger.error(f"total chances for {df_data.name} come to {vr_total_chances}")
    else:
        logger.debug(f"total chances: {vr_total_chances}")

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