603 lines
22 KiB
Python
603 lines
22 KiB
Python
import logging
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import random
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import pydantic
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from creation_helpers import mround, sanitize_chance_output
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from typing import List, Literal
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from decimal import Decimal
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class BattingCardRatingsModel(pydantic.BaseModel):
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battingcard_id: int
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bat_hand: Literal['R', 'L', 'S']
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vs_hand: Literal['R', 'L']
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all_hits: Decimal = Decimal(0.0)
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all_other_ob: Decimal = Decimal(0.0)
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all_outs: Decimal = Decimal(0.0)
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rem_singles: Decimal = Decimal(0.0)
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rem_xbh: Decimal = Decimal(0.0)
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rem_hr: Decimal = Decimal(0.0)
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rem_doubles: Decimal = Decimal(0.0)
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hard_rate: Decimal
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med_rate: Decimal
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soft_rate: Decimal
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pull_rate: Decimal
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center_rate: Decimal
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slap_rate: Decimal
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homerun: Decimal = Decimal(0.0)
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bp_homerun: Decimal = Decimal(0.0)
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triple: Decimal = Decimal(0.0)
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double_three: Decimal = Decimal(0.0)
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double_two: Decimal = Decimal(0.0)
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double_pull: Decimal = Decimal(0.0)
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single_two: Decimal = Decimal(0.0)
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single_one: Decimal = Decimal(0.0)
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single_center: Decimal = Decimal(0.0)
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bp_single: Decimal = Decimal(0.0)
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hbp: Decimal = Decimal(0.0)
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walk: Decimal = Decimal(0.0)
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strikeout: Decimal = Decimal(0.0)
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lineout: Decimal = Decimal(0.0)
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popout: Decimal = Decimal(0.0)
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rem_flyballs: Decimal = Decimal(0.0)
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flyout_a: Decimal = Decimal(0.0)
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flyout_bq: Decimal = Decimal(0.0)
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flyout_lf_b: Decimal = Decimal(0.0)
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flyout_rf_b: Decimal = Decimal(0.0)
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rem_groundballs: Decimal = Decimal(0.0)
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groundout_a: Decimal = Decimal(0.0)
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groundout_b: Decimal = Decimal(0.0)
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groundout_c: Decimal = Decimal(0.0)
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avg: Decimal = 0.0
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obp: Decimal = 0.0
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slg: Decimal = 0.0
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def total_chances(self):
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return Decimal(sum([
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self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_pull,
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self.single_two, self.single_one, self.single_center, self.bp_single, self.hbp, self.walk, self.strikeout,
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self.lineout, self.popout, self.flyout_a, self.flyout_bq, self.flyout_lf_b, self.flyout_rf_b,
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self.groundout_a, self.groundout_b, self.groundout_c
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]))
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def total_hits(self):
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return Decimal(sum([
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self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_pull,
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self.single_two, self.single_one, self.single_center, self.bp_single
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]))
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def rem_hits(self):
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return (self.all_hits -
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sum([
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self.homerun, self.bp_homerun, self.triple, self.double_three, self.double_two, self.double_pull,
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self.single_two, self.single_one, self.single_center, self.bp_single
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]))
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def rem_outs(self):
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return Decimal(self.all_outs -
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sum([
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self.strikeout, self.lineout, self.popout, self.flyout_a, self.flyout_bq, self.flyout_lf_b,
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self.flyout_rf_b, self.groundout_a, self.groundout_b, self.groundout_c
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]))
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def rem_other_ob(self):
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return self.all_other_ob - self.hbp - self.walk
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def calculate_singles(self, szn_singles, szn_hits, ifh_rate: Decimal):
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tot = sanitize_chance_output(self.all_hits * Decimal((szn_singles * .8) / szn_hits))
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logging.debug(f'tot: {tot}')
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self.rem_singles = tot
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self.bp_single = bp_singles(self.rem_singles)
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self.rem_singles -= self.bp_single
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self.single_two = wh_singles(self.rem_singles, self.hard_rate)
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self.rem_singles -= self.single_two
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self.single_one = one_singles(self.rem_singles, ifh_rate)
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self.rem_singles -= self.single_one
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self.single_center = sanitize_chance_output(self.rem_singles)
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self.rem_singles -= self.single_center
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self.rem_xbh = self.all_hits - self.bp_single - self.single_two - self.single_one - self.single_center
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def calculate_xbh(self, szn_triples, szn_doubles, szn_hr, hr_per_fb: Decimal):
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self.triple = triples(self.rem_xbh, szn_triples, szn_doubles + szn_hr)
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self.rem_xbh -= self.triple
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tot_doubles = sanitize_chance_output(self.rem_xbh * Decimal(szn_doubles / max(szn_hr + szn_doubles, 1)))
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self.double_two = two_doubles(tot_doubles, self.soft_rate)
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self.double_pull = sanitize_chance_output(tot_doubles - self.double_two)
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self.rem_xbh -= Decimal(self.double_two + self.double_pull)
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if self.rem_xbh > Decimal(0):
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self.bp_homerun = bp_homeruns(self.rem_xbh, hr_per_fb)
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self.homerun = sanitize_chance_output(self.rem_xbh - self.bp_homerun, min_chances=0.5)
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self.rem_xbh -= Decimal(self.bp_homerun + self.homerun)
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if szn_triples > 0 and self.rem_xbh > 0:
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self.triple = sanitize_chance_output(self.rem_xbh, min_chances=0.5)
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if self.rem_xbh > 0:
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logging.error(f'Adding {self.rem_xbh} results to all other ob')
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# print(self)
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self.all_other_ob += self.rem_xbh
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def calculate_other_ob(self, szn_bb, szn_hbp):
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self.hbp = hit_by_pitch(self.all_other_ob, szn_hbp, szn_bb)
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self.walk = sanitize_chance_output(self.all_other_ob - self.hbp)
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if self.walk + self.hbp < self.all_other_ob:
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rem = self.all_other_ob - self.walk - self.hbp
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logging.error(f'Adding {rem} chances to all_outs')
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# print(self)
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self.all_outs += Decimal(rem)
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def calculate_strikeouts(self, szn_so, szn_ab, szn_hits):
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self.strikeout = strikeouts(self.all_outs, (szn_so / (szn_ab - szn_hits)))
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def calculate_other_outs(self, fb_rate, ld_rate, gb_rate, szn_gidp, szn_ab):
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self.rem_flyballs = sanitize_chance_output(self.rem_outs() * Decimal(fb_rate))
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self.flyout_a = flyout_a(self.rem_flyballs, self.hard_rate)
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self.rem_flyballs -= self.flyout_a
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self.flyout_bq = flyout_bq(self.rem_flyballs, self.soft_rate)
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self.rem_flyballs -= self.flyout_bq
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self.flyout_lf_b = flyout_b(
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self.rem_flyballs,
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pull_rate=self.pull_rate if self.bat_hand == 'R' else self.slap_rate,
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cent_rate=self.center_rate
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)
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self.rem_flyballs -= self.flyout_lf_b
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self.flyout_rf_b = sanitize_chance_output(self.rem_flyballs)
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self.rem_flyballs -= self.flyout_rf_b
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if self.rem_flyballs > 0:
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logging.debug(f'Adding {self.rem_flyballs} chances to lineouts')
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tot_oneouts = sanitize_chance_output(self.rem_outs() * Decimal(ld_rate / (ld_rate + gb_rate)))
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self.lineout = sanitize_chance_output(Decimal(random.random()) * tot_oneouts)
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self.popout = sanitize_chance_output(tot_oneouts - self.lineout)
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self.groundout_a = groundball_a(self.rem_outs(), szn_gidp, szn_ab)
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self.groundout_c = groundball_c(self.rem_outs(), self.med_rate)
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self.groundout_b = self.rem_outs()
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def calculate_rate_stats(self):
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self.avg = Decimal(round(self.total_hits() / 108, 3))
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self.obp = Decimal(round((self.total_hits() + self.hbp + self.walk) / 108, 3))
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self.slg = Decimal(round(
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self.homerun * 4 + self.triple * 3 + self.single_center + self.single_two + self.single_two +
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(self.double_two + self.double_three + self.double_two + self.bp_homerun) * 2 + self.bp_single / 2
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))
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def custom_to_dict(self):
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return {
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'battingcard_id': self.battingcard_id,
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'vs_hand': self.vs_hand,
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'homerun': float(self.homerun),
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'bp_homerun': float(self.bp_homerun),
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'triple': float(self.triple),
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'double_three': float(self.double_three),
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'double_two': float(self.double_two),
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'double_pull': float(self.double_pull),
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'single_two': float(self.single_two),
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'single_one': float(self.single_one),
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'single_center': float(self.single_center),
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'bp_single': float(self.bp_single),
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'hbp': float(self.hbp),
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'walk': float(self.walk),
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'strikeout': float(self.strikeout),
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'lineout': float(self.lineout),
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'popout': float(self.popout),
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'flyout_a': float(self.flyout_a),
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'flyout_bq': float(self.flyout_bq),
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'flyout_lf_b': float(self.flyout_lf_b),
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'flyout_rf_b': float(self.flyout_rf_b),
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'groundout_a': float(self.groundout_a),
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'groundout_b': float(self.groundout_b),
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'groundout_c': float(self.groundout_c),
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'pull_rate': float(self.pull_rate),
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'center_rate': float(self.center_rate),
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'slap_rate': float(self.slap_rate)
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}
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# def total_chances(chance_data):
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# sum_chances = 0
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# for key in chance_data:
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# if key not in ['id', 'player_id', 'cardset_id', 'vs_hand', 'is_prep']:
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# sum_chances += chance_data[key]
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#
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# return mround(sum_chances)
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def total_singles(all_hits, szn_singles, szn_hits):
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return sanitize_chance_output(all_hits * ((szn_singles * .8) / szn_hits))
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def bp_singles(all_singles):
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if all_singles < 6:
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return Decimal(0)
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else:
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return Decimal(5)
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def wh_singles(rem_singles, hard_rate):
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if rem_singles == 0 or hard_rate < .2:
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return 0
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elif hard_rate > .4:
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return sanitize_chance_output(rem_singles * Decimal(.666), min_chances=2)
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else:
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return sanitize_chance_output(rem_singles * Decimal(.333), min_chances=2)
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def one_singles(rem_singles, ifh_rate, force_rem=False):
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if force_rem:
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return mround(rem_singles)
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elif rem_singles == 0 or ifh_rate < .05:
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return Decimal(0)
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else:
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return sanitize_chance_output(rem_singles * ifh_rate * Decimal(3), min_chances=2)
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def all_homeruns(rem_hits, all_hits, hrs, hits, singles):
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if rem_hits == 0 or all_hits == 0 or hrs == 0 or hits - singles == 0:
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return 0
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else:
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return mround(min(rem_hits, all_hits * ((hrs * 1.15) / hits)))
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def nd_homeruns(all_hr, hr_rate):
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if all_hr == 0 or hr_rate == 0:
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return Decimal(0)
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elif hr_rate > .2:
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return sanitize_chance_output(all_hr * .6)
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else:
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return sanitize_chance_output(all_hr * .25)
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def bp_homeruns(all_hr, hr_rate):
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if all_hr == 0 or hr_rate == 0:
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return Decimal(0)
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elif hr_rate > .2:
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return sanitize_chance_output(all_hr * Decimal(.4), rounding=1.0)
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else:
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return sanitize_chance_output(all_hr * Decimal(.8), rounding=1.0)
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def triples(all_xbh, tr_count, do_count):
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if all_xbh == Decimal(0) or tr_count == Decimal(0):
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return Decimal(0)
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else:
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return sanitize_chance_output(all_xbh * Decimal(tr_count / (tr_count + do_count)), min_chances=1)
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def two_doubles(all_doubles, soft_rate):
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if all_doubles == 0 or soft_rate == 0:
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return Decimal(0)
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elif soft_rate > .2:
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return sanitize_chance_output(all_doubles / 2)
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else:
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return sanitize_chance_output(all_doubles / 4)
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def hit_by_pitch(other_ob, hbps, walks):
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if hbps == 0 or other_ob * Decimal(hbps / (hbps + walks)) < 1:
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return 0
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else:
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return sanitize_chance_output(other_ob * Decimal(hbps / (hbps + walks)), rounding=1.0)
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def strikeouts(all_outs, k_rate):
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if all_outs == 0 or k_rate == 0:
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return Decimal(0)
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else:
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return sanitize_chance_output(all_outs * Decimal(k_rate))
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def flyout_a(all_flyouts, hard_rate):
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if all_flyouts == 0 or hard_rate < .4:
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return Decimal(0)
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else:
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return Decimal(1.0)
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def flyout_bq(rem_flyouts, soft_rate):
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if rem_flyouts == 0 or soft_rate < .1:
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return Decimal(0)
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else:
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return sanitize_chance_output(rem_flyouts * min(soft_rate * 3, Decimal(.75)))
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def flyout_b(rem_flyouts, pull_rate, cent_rate):
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if rem_flyouts == 0 or pull_rate == 0:
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return Decimal(0)
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else:
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return sanitize_chance_output(rem_flyouts * (pull_rate + cent_rate / 2))
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def popouts(rem_outs, iffb_rate):
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if rem_outs == 0 or iffb_rate * rem_outs < 1:
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return 0
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else:
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return mround(rem_outs * iffb_rate)
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def groundball_a(all_groundouts, gidps, abs):
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if all_groundouts == 0 or gidps == 0:
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return Decimal(0)
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else:
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return sanitize_chance_output(Decimal(min(gidps ** 2.5, abs) / abs) * all_groundouts)
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def groundball_c(rem_groundouts, med_rate):
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if rem_groundouts == 0 or med_rate < .4:
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return Decimal(0)
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elif med_rate > .6:
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return sanitize_chance_output(rem_groundouts)
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else:
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return sanitize_chance_output(rem_groundouts * med_rate)
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def stealing(chances: int, sb2s: int, cs2s: int, sb3s: int, cs3s: int, season_pct: float):
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if chances == 0 or sb2s + cs2s == 0:
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return 0, 0, False, 0
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total_attempts = sb2s + cs2s + sb3s + cs3s
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attempt_pct = total_attempts / chances
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if attempt_pct >= .08:
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st_auto = True
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else:
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st_auto = False
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# chance_odds = [x / 36 for x in range(1, 36)]
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st_jump = 0
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for x in range(1, 37):
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if attempt_pct * 1.5 <= x / 36:
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st_jump = x / 36
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break
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st_high = mround(20 * (sb2s / (sb2s + cs2s + cs2s)))
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if st_high <= 10:
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st_auto = False
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if sb3s + cs3s < max((3 * season_pct), 1):
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st_low = 3
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else:
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st_low = mround(16 * ((sb2s + sb3s) / (sb2s + sb3s + cs2s * 2 + cs3s * 2)))
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if not st_auto:
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st_low = min(st_low, 10)
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if st_low >= st_high - 3:
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if st_high == 0:
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st_low = 0
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st_jump = 0
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elif st_high <= 3:
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st_high = 4
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st_low = 1
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else:
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st_low = st_high - 3
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# if ((st_high - 7) > st_low) and st_high > 7:
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# st_low = st_high - 7
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return round(st_low), round(st_high), st_auto, st_jump
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def stealing_line(steal_data: dict):
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sd = steal_data
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jump_chances = round(sd[3] * 36)
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if jump_chances == 0:
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good_jump = '-'
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elif jump_chances <= 6:
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if jump_chances == 6:
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good_jump = 7
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elif jump_chances == 5:
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good_jump = 6
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elif jump_chances == 4:
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good_jump = 5
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elif jump_chances == 3:
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good_jump = 4
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elif jump_chances == 2:
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good_jump = 3
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elif jump_chances == 1:
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good_jump = 2
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elif jump_chances == 7:
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good_jump = '4,5'
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elif jump_chances == 8:
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good_jump = '4,6'
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elif jump_chances == 9:
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good_jump = '3-5'
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elif jump_chances == 10:
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good_jump = '2-5'
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elif jump_chances == 11:
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good_jump = '6,7'
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elif jump_chances == 12:
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good_jump = '4-6'
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elif jump_chances == 13:
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good_jump = '2,4-6'
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elif jump_chances == 14:
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good_jump = '3-6'
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elif jump_chances == 15:
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good_jump = '2-6'
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elif jump_chances == 16:
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good_jump = '2,5-6'
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elif jump_chances == 17:
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good_jump = '3,5-6'
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elif jump_chances == 18:
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good_jump = '4-6'
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elif jump_chances == 19:
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good_jump = '2,4-7'
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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
|
|
xb_pct = float(extra_base_pct.strip("%")) / 100
|
|
|
|
return round(8 + (10 * xb_pct))
|
|
|
|
|
|
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) / (ab_vl + ab_vr - so_vl - so_vr - hr_vl - hr_vl)
|
|
if babip >= .35:
|
|
return 'A'
|
|
elif babip >= .3:
|
|
return 'B'
|
|
elif babip >= .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 = 1.25
|
|
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 = 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"))
|
|
|
|
vl.calculate_singles(df_data['1B_vL'], df_data['H_vL'], Decimal(df_data['IFH%_vL']))
|
|
vr.calculate_singles(df_data['1B_vR'], df_data['H_vR'], Decimal(df_data['IFH%_vR']))
|
|
|
|
logging.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}'
|
|
)
|
|
logging.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'])
|
|
|
|
logging.debug(f'all_hits: {vl.all_hits} / sum of hits: {vl.total_chances()}')
|
|
logging.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'])
|
|
|
|
logging.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 ""}')
|
|
logging.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'])
|
|
|
|
logging.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 = Decimal(108) - x.total_chances()
|
|
logging.error(f'Adding {diff} strikeouts to close gap')
|
|
x.strikeout += diff
|
|
elif x.total_chances() > 108:
|
|
diff = x.total_chances() - Decimal(108)
|
|
logging.error(f'Have surplus of {diff} chances')
|
|
if x.strikeout + 1 > diff:
|
|
logging.error(f'Subtracting {diff} strikeouts to close gap')
|
|
x.strikeout -= diff
|
|
elif x.lineout + 1 > diff:
|
|
logging.error(f'Subtracting {diff} lineouts to close gap')
|
|
x.lineout -= diff
|
|
elif x.groundout_a + 1 > diff:
|
|
logging.error(f'Subtracting {diff} gbA to close gap')
|
|
x.groundout_a -= diff
|
|
elif x.groundout_b + 1 > diff:
|
|
logging.error(f'Subtracting {diff} gbB to close gap')
|
|
x.groundout_b -= diff
|
|
elif x.groundout_c + 1 > diff:
|
|
logging.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:
|
|
logging.error(f'total chances for {df_data.name} come to {vl_total_chances}')
|
|
else:
|
|
logging.debug(f'total chances: {vl_total_chances}')
|
|
if vr_total_chances != 108:
|
|
logging.error(f'total chances for {df_data.name} come to {vr_total_chances}')
|
|
else:
|
|
logging.debug(f'total chances: {vr_total_chances}')
|
|
|
|
return [vl.custom_to_dict(), vr.custom_to_dict()]
|