Full 2023 run complete
This commit is contained in:
Cal Corum
parent
1bfd6ad799
commit
3a247f7487
@ -85,7 +85,7 @@ class BattingCardRatingsModel(pydantic.BaseModel):
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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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tot = sanitize_chance_output(self.all_hits * Decimal((szn_singles * .8) / max(szn_hits, 1)))
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logging.debug(f'tot: {tot}')
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self.rem_singles = tot
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@ -135,7 +135,7 @@ class BattingCardRatingsModel(pydantic.BaseModel):
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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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self.strikeout = strikeouts(self.all_outs, (szn_so / max(szn_ab - szn_hits, 1)))
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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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@ -157,7 +157,7 @@ class BattingCardRatingsModel(pydantic.BaseModel):
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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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tot_oneouts = sanitize_chance_output(self.rem_outs() * Decimal(ld_rate / max(ld_rate + gb_rate, .01)))
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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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@ -214,7 +214,7 @@ class BattingCardRatingsModel(pydantic.BaseModel):
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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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return sanitize_chance_output(all_hits * ((szn_singles * .8) / max(szn_hits, 1)))
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def bp_singles(all_singles):
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@ -246,7 +246,7 @@ 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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return mround(min(rem_hits, all_hits * ((hrs * 1.15) / max(hits, 1))))
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def nd_homeruns(all_hr, hr_rate):
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@ -271,7 +271,7 @@ 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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return sanitize_chance_output(all_xbh * Decimal(tr_count / max(tr_count + do_count, 1)), min_chances=1)
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def two_doubles(all_doubles, soft_rate):
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@ -284,10 +284,10 @@ def two_doubles(all_doubles, soft_rate):
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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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if hbps == 0 or other_ob * Decimal(hbps / max(hbps + walks, 1)) < 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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return sanitize_chance_output(other_ob * Decimal(hbps / max(hbps + walks, 1)), rounding=1.0)
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def strikeouts(all_outs, k_rate):
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@ -329,7 +329,7 @@ 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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return sanitize_chance_output(Decimal(min(gidps ** 2.5, abs) / max(abs, 1)) * all_groundouts)
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def groundball_c(rem_groundouts, med_rate):
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@ -479,7 +479,7 @@ def running(extra_base_pct: str):
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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):
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babip = (hits_vr + hits_vl - hr_vl - hr_vr) / (ab_vl + ab_vr - so_vl - so_vr - hr_vl - hr_vl)
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babip = (hits_vr + hits_vl - hr_vl - hr_vr) / max(ab_vl + ab_vr - so_vl - so_vr - hr_vl - hr_vl, 1)
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if babip >= .35:
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return 'A'
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elif babip >= .3:
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@ -492,7 +492,7 @@ def hit_and_run(ab_vl: int, ab_vr: int, hits_vl: int, hits_vr: int, hr_vl: int,
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def get_batter_ratings(df_data) -> List[dict]:
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# Consider a sliding offense_mod based on OPS; floor of 1x and ceiling of 1.5x ?
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offense_mod = 1.25
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offense_mod = 1.2
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vl = BattingCardRatingsModel(
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battingcard_id=df_data.battingcard_id,
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bat_hand=df_data['bat_hand'],
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@ -11,7 +11,7 @@ from typing import List, Literal
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def get_pitcher_ratings(df_data) -> List[dict]:
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vl = PitchingCardRatingsModel(
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pitchingcard_id=df_data.pitchingcard_id,
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pit_hand=df_data.hand,
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pit_hand=df_data.pitch_hand,
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vs_hand='L',
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all_hits=sanitize_chance_output((df_data['AVG_vL'] - 0.05) * 108), # Subtracting chances from BP results
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all_other_ob=sanitize_chance_output(108 * (df_data['BB_vL'] + df_data['HBP_vL']) / df_data['TBF_vL']),
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@ -43,6 +43,7 @@ async def main(args):
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successes = []
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cxn_error = False
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count = -1
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start_time = datetime.datetime.now()
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for x in all_players:
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if 'pitching' in x['image'] and 'skip_arms' in arg_data and arg_data['skip_arms'].lower() == 'true':
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@ -119,7 +120,9 @@ async def main(args):
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for x in successes:
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logging.info(f'ID {x["player_id"]} {x["p_name"]}')
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p_run_time = datetime.datetime.now() - start_time
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print(f'\nAll done!\nErrors: {len(errors)}\nSuccesses: {len(successes)}')
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print(f'Total runtime: {p_run_time.total_seconds()} seconds')
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if __name__ == '__main__':
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@ -5,6 +5,7 @@ import math
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from decimal import Decimal
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import pandas as pd
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import pybaseball as pb
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import random
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import requests
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import time
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@ -460,9 +461,13 @@ async def pd_pitchingcards_df(cardset_id: int):
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async def pd_battingcardratings_df(cardset_id: int):
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vl_query = await db_get(
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'battingcardratings', params=[('cardset_id', cardset_id), ('vs_hand', 'L'), ('short_output', True)])
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'battingcardratings', params=[
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('cardset_id', cardset_id), ('vs_hand', 'L'), ('short_output', True), ('team_id', 31),
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('ts', 's37136685556r6135248705')])
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vr_query = await db_get(
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'battingcardratings', params=[('cardset_id', cardset_id), ('vs_hand', 'R'), ('short_output', True)])
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'battingcardratings', params=[
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('cardset_id', cardset_id), ('vs_hand', 'R'), ('short_output', True), ('team_id', 31),
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('ts', 's37136685556r6135248705')])
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if 0 in [vl_query['count'], vr_query['count']]:
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raise ValueError(f'No batting card ratings returned from Paper Dynasty API')
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vl = pd.DataFrame(vl_query['ratings'])
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@ -932,3 +937,72 @@ def sanitize_chance_output(total_chances, min_chances=1.0, rounding=0.05):
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for x in exact_chances:
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if rounded_val <= x:
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return x
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def mlbteam_and_franchise(mlbam_playerid):
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api_url = f'https://statsapi.mlb.com/api/v1/people/{mlbam_playerid}?hydrate=currentTeam'
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logging.info(f'Calling {api_url}')
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p_data = {'mlbclub': None, 'franchise': None}
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club_list = [
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'Arizona Diamondbacks',
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'Atlanta Braves',
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'Baltimore Orioles',
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'Boston Red Sox',
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'Chicago Cubs',
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'Chicago White Sox',
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'Cincinnati Reds',
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'Cleveland Guardians',
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'Colorado Rockies',
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'Detroit Tigers',
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'Houston Astros',
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'Kansas City Royals',
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'Los Angeles Angels',
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'Los Angeles Dodgers',
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'Miami Marlins',
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'Milwaukee Brewers',
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'Minnesota Twins',
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'New York Mets',
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'New York Yankees',
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'Oakland Athletics',
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'Philadelphia Phillies',
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'Pittsburgh Pirates',
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'San Diego Padres',
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'Seattle Mariners',
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'San Francisco Giants',
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'St Louis Cardinals',
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'Tampa Bay Rays',
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'Texas Rangers',
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'Toronto Blue Jays',
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'Washington Nationals'
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]
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try:
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resp = requests.get(api_url, timeout=2)
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except requests.ReadTimeout as e:
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logging.error(f'mlbteam_and_franchise - ReadTimeout pull MLB team for MLB AM player ID {mlbam_playerid}')
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return p_data
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if resp.status_code == 200:
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data = resp.json()
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data = data['people'][0]
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logging.debug(f'data: {data}')
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if data['currentTeam']['name'] in club_list:
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p_data['mlbclub'] = data['currentTeam']['name']
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p_data['franchise'] = data['currentTeam']['name']
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else:
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logging.error(f'Could not set team for {mlbam_playerid}; received {data["currentTeam"]["name"]}')
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else:
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logging.error(f'mlbteam_and_franchise - Bad response from mlbstatsapi: {resp.status_code}')
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return p_data
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def get_all_pybaseball_ids(player_id: list, key_type: str):
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q = pb.playerid_reverse_lookup(player_id, key_type=key_type)
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if len(q.values) > 0:
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return_val = q.loc[0]
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else:
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logging.error(f'get_all_pybaseball_ids - Could not find id {player_id} / {key_type} in pybaseball')
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return_val = None
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return return_val
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@ -17,8 +17,8 @@ import pydantic
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import sys
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from creation_helpers import pd_players_df, get_batting_stats, pd_battingcards_df, pd_battingcardratings_df, \
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get_pitching_stats, get_pitching_peripherals, pd_pitchingcards_df, pd_pitchingcardratings_df, pd_positions_df, \
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get_args
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get_pitching_stats, get_all_pybaseball_ids, pd_pitchingcards_df, pd_pitchingcardratings_df, pd_positions_df, \
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get_args, mlbteam_and_franchise
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from db_calls import db_get, db_put, db_post, db_patch
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from typing import Literal
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from bs4 import BeautifulSoup
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@ -79,6 +79,18 @@ def sanitize_name(start_name: str) -> str:
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async def main(args):
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"""
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params:
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cardset_name: str - to be searched in pd database
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games_played: int - from 1 - 162
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pull_fielding: bool - whether or not to pull fielding stats from bbref
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post_batters: bool - whether or not to post batting cards, batting card ratings, and batter updates
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post_pitchers: bool - whether or not to post pitching cards, pitching card ratings, and pitching updates
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post_fielders: bool - whether or not to post card positions
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post_players: bool - whether or not to post player updates
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p_desc_prefix: str - shows as cardset on card image and prefixes player name in discord
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is_liveseries: str - whether or not to look up players' current MLB club from MLB statsapi
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"""
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arg_data = get_args(args)
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# cardset_name = input(f'What is the name of this Cardset? ')
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@ -120,10 +132,7 @@ async def main(args):
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print(f'Processed {len(all_batting.values)} batters\n')
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def get_pids(df_data):
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q = pb.playerid_reverse_lookup([df_data["playerId"]], key_type="fangraphs")
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return_val = q.loc[0] if len(q.values) > 0 else None
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# print(f'lookup id: {df_data["playerId"]}\n{return_val}')
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return return_val
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return get_all_pybaseball_ids([df_data["playerId"]], 'fangraphs')
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def get_hand(df_data):
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if df_data['Name'][-1] == '*':
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@ -163,7 +172,8 @@ async def main(args):
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'pos_1': 'DH',
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'description': f'{player_description}',
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'bbref_id': df_data.name,
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'fangr_id': int(float(df_data['key_fangraphs']))
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'fangr_id': int(float(df_data['key_fangraphs'])),
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'strat_code': int(float(df_data['key_mlbam']))
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})
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player_data[player_data['player_id'].isnull()].apply(create_batters, axis=1)
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@ -411,6 +421,15 @@ async def main(args):
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).set_index('player_id', drop=False)
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del total_ratings, offense_stats
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def get_pids(df_data):
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return get_all_pybaseball_ids([df_data["bbref_id"]], 'bbref')
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ids_and_names = player_data.apply(get_pids, axis=1)
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player_data = (ids_and_names
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.merge(player_data, how='left', left_on='key_bbref', right_on='bbref_id')
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.query('key_mlbam == key_mlbam')
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.set_index('key_bbref', drop=False))
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player_updates = {} # { <player_id> : [ (param pairs) ] }
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rarity_group = player_data.query('rarity == new_rarity_id').groupby('rarity')
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average_ops = rarity_group['total_OPS'].mean().to_dict()
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@ -427,9 +446,17 @@ async def main(args):
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}
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params = [('description', f'{player_description}')]
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if release_directory not in df_data['image']:
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params.extend([('image', f'{CARD_BASE_URL}/{df_data["player_id"]}/battingcard'
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f'{urllib.parse.quote("?d=")}{release_directory}')])
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if 'is_liveseries' in arg_data and arg_data['is_liveseries'].lower() == 'true':
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team_data = mlbteam_and_franchise(int(float(df_data['key_mlbam'])))
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if df_data['mlbclub'] != team_data['mlbclub'] and team_data['mlbclub'] is not None:
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params.extend([('mlbclub', team_data['mlbclub'])])
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if df_data['franchise'] != team_data['franchise'] and team_data['franchise'] is not None:
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params.extend([('franchise', team_data['franchise'])])
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# if release_directory not in df_data['image']:
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params.extend([('image', f'{CARD_BASE_URL}/{df_data["player_id"]}/battingcard'
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f'{urllib.parse.quote("?d=")}{release_directory}')])
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if df_data['cost'] == 99999:
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params.extend([
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@ -516,17 +543,17 @@ async def main(args):
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params.extend([('cost', new_cost), ('rarity_id', new_rarity)])
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if len(params) > 0:
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if df_data.name not in player_updates.keys():
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player_updates[df_data.name] = params
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if df_data.player_id not in player_updates.keys():
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player_updates[df_data.player_id] = params
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else:
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player_updates[df_data.name].extend(params)
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player_updates[df_data.player_id].extend(params)
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player_data.apply(get_player_updates, axis=1)
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# print(f'Sending {len(player_updates)} player updates to PD database...')
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# if 'post_batters' not in arg_data or arg_data['post_batters'].lower() == 'true':
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# for x in player_updates:
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# await db_patch('players', object_id=x, params=player_updates[x])
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print(f'Sending {len(player_updates)} player updates to PD database...')
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if 'post_batters' not in arg_data or arg_data['post_batters'].lower() == 'true':
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for x in player_updates:
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await db_patch('players', object_id=x, params=player_updates[x])
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print(f'Batter updates are complete')
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start_time_two = datetime.datetime.now()
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@ -538,6 +565,9 @@ async def main(args):
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all_pitching = get_pitching_stats(file_path=input_path)
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print(f'Processed {len(all_pitching.values)} pitchers\n')
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def get_pids(df_data):
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return get_all_pybaseball_ids([df_data["playerId"]], 'fangraphs')
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print(f'Now pulling mlbam player IDs...')
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ids_and_names = all_pitching.apply(get_pids, axis=1)
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player_data = (ids_and_names
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@ -564,7 +594,8 @@ async def main(args):
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'pos_1': 'P',
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'description': f'{player_description}',
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'bbref_id': df_data.name,
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'fangr_id': int(float(df_data['key_fangraphs']))
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'fangr_id': int(float(df_data['key_fangraphs'])),
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'strat_code': int(float(df_data['key_mlbam']))
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})
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player_data[player_data['player_id'].isnull()].apply(create_pitchers, axis=1)
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@ -675,6 +706,13 @@ async def main(args):
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resp = await db_put('pitchingcardratings', payload={'ratings': pitching_ratings}, timeout=30)
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print(f'Response: {resp}\n\nPulling all positions to set player positions...')
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print(f'Pitcher updates are complete')
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start_time_three = datetime.datetime.now()
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p_run_time = datetime.datetime.now() - start_time_two
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print(f'Total pitching cards: {len(pitching_cards)}\nNew cardset pitchers: {len(new_players)}\n'
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||||
f'Pitcher runtime: {round(p_run_time.total_seconds())} seconds\n')
|
||||
print(f'Checking for player updates...')
|
||||
|
||||
"""
|
||||
Pull fresh pd_players and set_index to player_id
|
||||
Pull fresh battingcards and set_index to player
|
||||
@ -731,7 +769,16 @@ async def main(args):
|
||||
).set_index('player_id', drop=False)
|
||||
del total_ratings, pitching_stats
|
||||
|
||||
# player_updates = {} # { <player_id> : [ (param pairs) ] }
|
||||
def get_pids(df_data):
|
||||
return get_all_pybaseball_ids([df_data["bbref_id"]], 'bbref')
|
||||
|
||||
ids_and_names = player_data.apply(get_pids, axis=1)
|
||||
player_data = (ids_and_names
|
||||
.merge(player_data, how='left', left_on='key_bbref', right_on='bbref_id')
|
||||
.query('key_mlbam == key_mlbam')
|
||||
.set_index('key_bbref', drop=False))
|
||||
|
||||
player_updates = {} # { <player_id> : [ (param pairs) ] }
|
||||
rarity_group = player_data.query('rarity == new_rarity_id').groupby('rarity')
|
||||
average_ops = rarity_group['total_OPS'].mean().to_dict()
|
||||
# cost_groups = rarity_group['cost'].mean()
|
||||
@ -747,9 +794,17 @@ async def main(args):
|
||||
}
|
||||
params = [('description', f'{player_description}')]
|
||||
|
||||
if release_directory not in df_data['image']:
|
||||
params.extend([('image', f'{CARD_BASE_URL}/{df_data["player_id"]}/pitchingcard'
|
||||
f'{urllib.parse.quote("?d=")}{release_directory}')])
|
||||
if 'is_liveseries' in arg_data and arg_data['is_liveseries'].lower() == 'true':
|
||||
team_data = mlbteam_and_franchise(int(float(df_data['key_mlbam'])))
|
||||
|
||||
if df_data['mlbclub'] != team_data['mlbclub'] and team_data['mlbclub'] is not None:
|
||||
params.extend([('mlbclub', team_data['mlbclub'])])
|
||||
if df_data['franchise'] != team_data['franchise'] and team_data['franchise'] is not None:
|
||||
params.extend([('franchise', team_data['franchise'])])
|
||||
|
||||
# if release_directory not in df_data['image']:
|
||||
params.extend([('image', f'{CARD_BASE_URL}/{df_data["player_id"]}/pitchingcard'
|
||||
f'{urllib.parse.quote("?d=")}{release_directory}')])
|
||||
|
||||
if df_data['cost'] == 99999:
|
||||
params.extend([
|
||||
@ -836,10 +891,10 @@ async def main(args):
|
||||
params.extend([('cost', new_cost), ('rarity_id', new_rarity)])
|
||||
|
||||
if len(params) > 0:
|
||||
if df_data.name not in player_updates.keys():
|
||||
player_updates[df_data.name] = params
|
||||
if df_data.player_id not in player_updates.keys():
|
||||
player_updates[df_data.player_id] = params
|
||||
else:
|
||||
player_updates[df_data.name].extend(params)
|
||||
player_updates[df_data.player_id].extend(params)
|
||||
|
||||
player_data.apply(get_player_updates, axis=1)
|
||||
|
||||
@ -848,13 +903,7 @@ async def main(args):
|
||||
# for x in player_updates:
|
||||
# await db_patch('players', object_id=x, params=player_updates[x])
|
||||
|
||||
print(f'Pitcher updates are complete')
|
||||
start_time_three = datetime.datetime.now()
|
||||
p_run_time = datetime.datetime.now() - start_time_two
|
||||
print(f'Total pitching cards: {len(pitching_cards)}\nNew cardset pitchers: {len(new_players)}\n'
|
||||
f'Pitcher runtime: {round(p_run_time.total_seconds())} seconds\n')
|
||||
|
||||
print(f'Running player position updates')
|
||||
print(f'Running player position updates..')
|
||||
all_pos = await pd_positions_df(cardset['id'])
|
||||
|
||||
def set_all_positions(df_data):
|
||||
@ -863,7 +912,7 @@ async def main(args):
|
||||
count = 1
|
||||
for this_pos in pos_series:
|
||||
if this_pos == 'P':
|
||||
this_pitcher = player_data.loc[df_data['player_id']]
|
||||
this_pitcher = player_data.loc[df_data['bbref_id']]
|
||||
if this_pitcher['starter_rating'] > 3:
|
||||
pos_updates.append((f'pos_{count}', 'SP'))
|
||||
count += 1
|
||||
@ -879,7 +928,7 @@ async def main(args):
|
||||
count += 1
|
||||
else:
|
||||
pos_updates.append((f'pos_{count}', this_pos))
|
||||
count += 1
|
||||
count += 1
|
||||
|
||||
if count == 1:
|
||||
pos_updates.append(('pos_1', 'DH'))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user