39c652e55c
Move each ratings model class (and, for batters, the helper functions it depends on) into a dedicated models.py so that calcs_*.py can import from card_builder.py at module level without circular imports. - batters/models.py: BattingCardRatingsModel + bp_singles, wh_singles, one_singles, bp_homeruns, triples, two_doubles, hit_by_pitch, strikeouts, flyout_a, flyout_bq, flyout_b, groundball_a, groundball_c - pitchers/models.py: PitchingCardRatingsModel (no helper deps needed) - batters/calcs_batter.py: imports model + build_batter_full_cards at top - pitchers/calcs_pitcher.py: imports model + build_pitcher_full_cards at top - batters/card_builder.py: imports from batters.models - pitchers/card_builder.py: imports from pitchers.models - tests/test_batter_calcs.py: import bp_singles, wh_singles from batters.models Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
330 lines
10 KiB
Python
330 lines
10 KiB
Python
import math
|
|
|
|
from creation_helpers import mround, sanitize_chance_output
|
|
from typing import List
|
|
from exceptions import logger
|
|
|
|
from pitchers.models import PitchingCardRatingsModel
|
|
from pitchers.card_builder import build_pitcher_full_cards
|
|
def get_pitcher_ratings(df_data) -> List[dict]:
|
|
# Calculate OB values with min cap (ensure scalar values for comparison)
|
|
ob_vl = float(108 * (df_data['BB_vL'] + df_data['HBP_vL']) / df_data['TBF_vL'])
|
|
ob_vr = float(108 * (df_data['BB_vR'] + df_data['HBP_vR']) / df_data['TBF_vR'])
|
|
|
|
vl = PitchingCardRatingsModel(
|
|
pitchingcard_id=df_data.pitchingcard_id,
|
|
pit_hand=df_data.pitch_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(min(ob_vl, 0.8)),
|
|
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.pitch_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(min(ob_vr, 0.8)),
|
|
hard_rate=df_data['Hard%_vR'],
|
|
med_rate=df_data['Med%_vR'],
|
|
soft_rate=df_data['Soft%_vR']
|
|
)
|
|
vl.all_outs = mround(108 - vl.all_hits - vl.all_other_ob, base=0.5)
|
|
vr.all_outs = mround(108 - vr.all_hits - vr.all_other_ob, base=0.5)
|
|
|
|
logger.info(
|
|
f'vL - All Hits: {vl.all_hits} / Other OB: {vl.all_other_ob} / All Outs: {vl.all_outs} '
|
|
f'/ Total: {vl.total_chances()}'
|
|
)
|
|
logger.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'])
|
|
|
|
logger.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}')
|
|
logger.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'])
|
|
|
|
logger.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}')
|
|
logger.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'])
|
|
|
|
logger.info(f'vL: All other OB: {vl.all_other_ob} / HBP: {vl.hbp} / BB: {vl.walk} / '
|
|
f'Total Chances: {vl.total_chances()}')
|
|
logger.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'])
|
|
|
|
logger.info(f'vL: All Outs: {vl.all_outs} / Ks: {vl.strikeout} / Current Outs: {vl.total_outs()}')
|
|
logger.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'])
|
|
|
|
logger.info(f'vL: Total chances: {vl.total_chances()}')
|
|
logger.info(f'vR: Total chances: {vr.total_chances()}')
|
|
|
|
vl_dict = vl.custom_to_dict()
|
|
vr_dict = vr.custom_to_dict()
|
|
|
|
try:
|
|
vl_card, vr_card = build_pitcher_full_cards(
|
|
vl, vr, int(df_data['offense_col']), int(df_data['player_id']), df_data['pitch_hand']
|
|
)
|
|
vl_dict.update(vl_card.card_output())
|
|
vr_dict.update(vr_card.card_output())
|
|
except Exception as e:
|
|
logger.warning(f'Card layout builder failed for {df_data.name}: {e}')
|
|
|
|
return [vl_dict, vr_dict]
|
|
|
|
|
|
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):
|
|
try:
|
|
total_balks = int(total_balks)
|
|
except ValueError:
|
|
logger.error(f'Could not read balks: {total_balks} / setting to 0')
|
|
total_balks = 0
|
|
|
|
try:
|
|
innings = float(innings)
|
|
except ValueError:
|
|
logger.error(f'Could not read innings: {innings} / setting to 0')
|
|
innings = 0
|
|
|
|
if innings == 0:
|
|
return 0
|
|
|
|
numerator = (total_balks * 290 * season_pct)
|
|
logger.info(f'total_balks: {total_balks} / season_pct {season_pct} / innings: {innings} / numerator: {numerator}')
|
|
|
|
return min(round(numerator / innings), 20)
|
|
|
|
|
|
def wild_pitches(total_wps: int, innings: float, season_pct):
|
|
if innings == 0:
|
|
return 0
|
|
# return min(round((int(total_wps) * 200 * season_pct) / float(innings)), 20)
|
|
return min(round((int(total_wps) * 200) / float(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
|