cal/paper-dynasty-card-creation
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Added teams from fg for new players

Browse Source
This commit is contained in:
Cal Corum 2023-10-22 14:00:43 -05:00
parent cadd1fcbe9
commit 31a2fe8804
2 changed files with 148 additions and 64 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

106
creation_helpers.py
View File

@ -416,6 +416,39 @@ BLANK_RESULTS = {
}
TESTING = False
YES = ['y', 'yes', 'yeet', 'please', 'yeah']
CLUB_LIST = {
'ARI': 'Arizona Diamondbacks',
'ATL': 'Atlanta Braves',
'BAL': 'Baltimore Orioles',
'BOS': 'Boston Red Sox',
'CHC': 'Chicago Cubs',
'CHW': 'Chicago White Sox',
'CIN': 'Cincinnati Reds',
'CLE': 'Cleveland Guardians',
'COL': 'Colorado Rockies',
'DET': 'Detroit Tigers',
'HOU': 'Houston Astros',
'KCR': 'Kansas City Royals',
'LAA': 'Los Angeles Angels',
'LAD': 'Los Angeles Dodgers',
'MIA': 'Miami Marlins',
'MIL': 'Milwaukee Brewers',
'MIN': 'Minnesota Twins',
'NYM': 'New York Mets',
'NYY': 'New York Yankees',
'OAK': 'Oakland Athletics',
'PHI': 'Philadelphia Phillies',
'PIT': 'Pittsburgh Pirates',
'SDP': 'San Diego Padres',
'SEA': 'Seattle Mariners',
'SFG': 'San Francisco Giants',
'STL': 'St Louis Cardinals',
'TBR': 'Tampa Bay Rays',
'TEX': 'Texas Rangers',
'TOR': 'Toronto Blue Jays',
'WSN': 'Washington Nationals',
'TOT': 'None'
}
def get_args(args):
@ -441,7 +474,12 @@ async def pd_players_df(cardset_id: int):
params=[('inc_dex', False), ('cardset_id', cardset_id), ('short_output', True)]
)
if p_query['count'] == 0:
raise ValueError(f'No players returned from Paper Dynasty API')
return pd.DataFrame({
'player_id': [], 'p_name': [], 'cost': [], 'image': [], 'image2': [], 'mlbclub': [], 'franchise': [],
'cardset': [], 'set_num': [], 'rarity': [], 'pos_1': [], 'pos_2': [], 'pos_3': [], 'pos_4': [], 'pos_5': [],
'pos_6': [], 'pos_7': [], 'pos_8': [], 'headshot': [], 'vanity_card': [], 'strat_code': [], 'bbref_id': [],
'fangr_id': [], 'description': [], 'quantity': [], 'mlbplayer': []
})
return pd.DataFrame(p_query['players'])
@ -943,38 +981,38 @@ def mlbteam_and_franchise(mlbam_playerid):
api_url = f'https://statsapi.mlb.com/api/v1/people/{mlbam_playerid}?hydrate=currentTeam'
logging.info(f'Calling {api_url}')
p_data = {'mlbclub': None, 'franchise': None}
club_list = [
'Arizona Diamondbacks',
'Atlanta Braves',
'Baltimore Orioles',
'Boston Red Sox',
'Chicago Cubs',
'Chicago White Sox',
'Cincinnati Reds',
'Cleveland Guardians',
'Colorado Rockies',
'Detroit Tigers',
'Houston Astros',
'Kansas City Royals',
'Los Angeles Angels',
'Los Angeles Dodgers',
'Miami Marlins',
'Milwaukee Brewers',
'Minnesota Twins',
'New York Mets',
'New York Yankees',
'Oakland Athletics',
'Philadelphia Phillies',
'Pittsburgh Pirates',
'San Diego Padres',
'Seattle Mariners',
'San Francisco Giants',
'St Louis Cardinals',
'Tampa Bay Rays',
'Texas Rangers',
'Toronto Blue Jays',
'Washington Nationals'
]
# club_list = [
# 'Arizona Diamondbacks',
# 'Atlanta Braves',
# 'Baltimore Orioles',
# 'Boston Red Sox',
# 'Chicago Cubs',
# 'Chicago White Sox',
# 'Cincinnati Reds',
# 'Cleveland Guardians',
# 'Colorado Rockies',
# 'Detroit Tigers',
# 'Houston Astros',
# 'Kansas City Royals',
# 'Los Angeles Angels',
# 'Los Angeles Dodgers',
# 'Miami Marlins',
# 'Milwaukee Brewers',
# 'Minnesota Twins',
# 'New York Mets',
# 'New York Yankees',
# 'Oakland Athletics',
# 'Philadelphia Phillies',
# 'Pittsburgh Pirates',
# 'San Diego Padres',
# 'Seattle Mariners',
# 'San Francisco Giants',
# 'St Louis Cardinals',
# 'Tampa Bay Rays',
# 'Texas Rangers',
# 'Toronto Blue Jays',
# 'Washington Nationals'
# ]
try:
resp = requests.get(api_url, timeout=2)
@ -986,7 +1024,7 @@ def mlbteam_and_franchise(mlbam_playerid):
data = resp.json()
data = data['people'][0]
logging.debug(f'data: {data}')
if data['currentTeam']['name'] in club_list:
if data['currentTeam']['name'] in CLUB_LIST.values():
p_data['mlbclub'] = data['currentTeam']['name']
p_data['franchise'] = data['currentTeam']['name']
else:

106
live_series_update.py
View File

@ -18,7 +18,7 @@ import sys
from creation_helpers import pd_players_df, get_batting_stats, pd_battingcards_df, pd_battingcardratings_df, \
get_pitching_stats, get_all_pybaseball_ids, pd_pitchingcards_df, pd_pitchingcardratings_df, pd_positions_df, \
get_args, mlbteam_and_franchise
get_args, mlbteam_and_franchise, CLUB_LIST
from db_calls import db_get, db_put, db_post, db_patch
from typing import Literal
from bs4 import BeautifulSoup
@ -153,6 +153,9 @@ async def main(args):
.query('key_mlbam == key_mlbam')
.set_index('key_bbref', drop=False))
print(f'Matched mlbam to pd players.')
final_batting = pd.merge(
player_data, all_batting, left_on='key_fangraphs', right_on='playerId', sort=False
).set_index('key_bbref', drop=False)
new_players = []
@ -164,8 +167,8 @@ async def main(args):
'cost': 99999,
'image': f'{CARD_BASE_URL}/{df_data["player_id"]}/battingcard'
f'{urllib.parse.quote("?d=")}{release_directory}',
'mlbclub': 'None',
'franchise': 'None',
'mlbclub': CLUB_LIST[df_data['Tm_vL']],
'franchise': CLUB_LIST[df_data['Tm_vL']],
'cardset_id': cardset['id'],
'set_num': int(float(df_data['key_fangraphs'])),
'rarity_id': 99,
@ -176,16 +179,13 @@ async def main(args):
'strat_code': int(float(df_data['key_mlbam']))
})
player_data[player_data['player_id'].isnull()].apply(create_batters, axis=1)
final_batting[final_batting['player_id'].isnull()].apply(create_batters, axis=1)
print(f'Creating {len(new_players)} new players...')
for x in new_players:
this_player = await db_post('players', payload=x)
player_data.at[x['bbref_id'], 'player_id'] = this_player['player_id']
player_data.at[x['bbref_id'], 'p_name'] = this_player['p_name']
final_batting.at[x['bbref_id'], 'player_id'] = this_player['player_id']
final_batting.at[x['bbref_id'], 'p_name'] = this_player['p_name']
final_batting = pd.merge(
player_data, all_batting, left_on='key_fangraphs', right_on='playerId', sort=False
).set_index('key_bbref', drop=False)
del ids_and_names, all_batting, pd_players
print(f'Player IDs linked to batting stats.\n{len(final_batting.values)} players remain\n')
@ -378,7 +378,7 @@ async def main(args):
print(f'Calculating fielding lines now...')
offense_stats.apply(create_positions, axis=1)
print(f'Fielding is complete.\n\nPosting positions now...')
if 'post_updates' not in arg_data or arg_data['post_updates'].lower() == 'true':
if 'post_batters' not in arg_data or arg_data['post_batters'].lower() == 'true':
resp = await db_put('cardpositions', payload={'positions': position_payload}, timeout=30)
print(f'Response: {resp}\n')
@ -433,6 +433,16 @@ async def main(args):
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()
if 1 not in average_ops:
average_ops[1] = 1.066
if 2 not in average_ops:
average_ops[2] = 0.938
if 3 not in average_ops:
average_ops[3] = 0.844
if 4 not in average_ops:
average_ops[4] = 0.752
if 5 not in average_ops:
average_ops[5] = 0.612
# cost_groups = rarity_group['cost'].mean()
def get_player_updates(df_data):
@ -444,7 +454,10 @@ async def main(args):
5: 10,
99: 2400
}
params = [('description', f'{player_description}')]
params = []
if df_data['description'] != player_description:
params = [('description', f'{player_description}')]
if 'is_liveseries' in arg_data and arg_data['is_liveseries'].lower() == 'true':
team_data = mlbteam_and_franchise(int(float(df_data['key_mlbam'])))
@ -555,6 +568,7 @@ async def main(args):
for x in player_updates:
await db_patch('players', object_id=x, params=player_updates[x])
del player_updates
print(f'Batter updates are complete')
start_time_two = datetime.datetime.now()
run_time = start_time_two - start_time
@ -576,6 +590,11 @@ async def main(args):
.set_index('key_bbref', drop=False))
print(f'Matched mlbam to pd players.')
step_pitching = pd.merge(
player_data, all_pitching, left_on='key_fangraphs', right_on='playerId', sort=False
).set_index('key_bbref', drop=False)
final_pitching = step_pitching.join(df_p, rsuffix='_r')
new_players = []
def create_pitchers(df_data):
@ -586,8 +605,8 @@ async def main(args):
'cost': 99999,
'image': f'{CARD_BASE_URL}/{df_data["player_id"]}/'
f'pitchingcard{urllib.parse.quote("?d=")}{release_directory}',
'mlbclub': 'None',
'franchise': 'None',
'mlbclub': CLUB_LIST[df_data['Tm_vL']],
'franchise': CLUB_LIST[df_data['Tm_vL']],
'cardset_id': cardset['id'],
'set_num': int(float(df_data['key_fangraphs'])),
'rarity_id': 99,
@ -598,17 +617,12 @@ async def main(args):
'strat_code': int(float(df_data['key_mlbam']))
})
player_data[player_data['player_id'].isnull()].apply(create_pitchers, axis=1)
final_pitching[final_pitching['player_id'].isnull()].apply(create_pitchers, axis=1)
print(f'Creating {len(new_players)} new players...')
for x in new_players:
this_player = await db_post('players', payload=x)
player_data.at[x['bbref_id'], 'player_id'] = this_player['player_id']
player_data.at[x['bbref_id'], 'p_name'] = this_player['p_name']
step_pitching = pd.merge(
player_data, all_pitching, left_on='key_fangraphs', right_on='playerId', sort=False
).set_index('key_bbref', drop=False)
final_pitching = step_pitching.join(df_p, rsuffix='_r')
final_pitching.at[x['bbref_id'], 'player_id'] = this_player['player_id']
final_pitching.at[x['bbref_id'], 'p_name'] = this_player['p_name']
del ids_and_names, all_pitching, p_data, step_pitching
print(f'Player IDs linked to pitching stats.\n{len(final_pitching.values)} players remain\n')
@ -779,9 +793,36 @@ async def main(args):
.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()
sp_rarity_group = player_data.query('rarity == new_rarity_id and starter_rating >= 4').groupby('rarity')
sp_average_ops = sp_rarity_group['total_OPS'].mean().to_dict()
rp_rarity_group = player_data.query('rarity == new_rarity_id and starter_rating < 4').groupby('rarity')
rp_average_ops = rp_rarity_group['total_OPS'].mean().to_dict()
# cost_groups = rarity_group['cost'].mean()
if 99 not in sp_average_ops:
sp_average_ops[99] = 0.388
if 1 not in sp_average_ops:
sp_average_ops[1] = 0.445
if 2 not in sp_average_ops:
sp_average_ops[2] = 0.504
if 3 not in sp_average_ops:
sp_average_ops[3] = 0.568
if 4 not in sp_average_ops:
sp_average_ops[4] = 0.634
if 5 not in sp_average_ops:
sp_average_ops[5] = 0.737
if 99 not in rp_average_ops:
rp_average_ops[99] = 0.282
if 1 not in rp_average_ops:
rp_average_ops[1] = 0.375
if 2 not in rp_average_ops:
rp_average_ops[2] = 0.442
if 3 not in rp_average_ops:
rp_average_ops[3] = 0.516
if 4 not in rp_average_ops:
rp_average_ops[4] = 0.591
if 5 not in rp_average_ops:
rp_average_ops[5] = 0.702
def get_player_updates(df_data):
base_costs = {
@ -792,7 +833,17 @@ async def main(args):
5: 10,
99: 2400
}
params = [('description', f'{player_description}')]
def avg_ops(rarity_id, starter_rating):
if starter_rating >= 4:
return sp_average_ops[rarity_id]
else:
return rp_average_ops[rarity_id]
params = []
if df_data['description'] != player_description:
params = [('description', f'{player_description}')]
if 'is_liveseries' in arg_data and arg_data['is_liveseries'].lower() == 'true':
team_data = mlbteam_and_franchise(int(float(df_data['key_mlbam'])))
@ -810,7 +861,7 @@ async def main(args):
params.extend([
('cost',
round(base_costs[df_data['new_rarity_id']] * df_data['total_OPS'] /
average_ops[df_data['new_rarity_id']])),
avg_ops(df_data['new_rarity_id'], df_data['starter_rating']))),
('rarity_id', df_data['new_rarity_id'])
])
@ -898,11 +949,6 @@ async def main(args):
player_data.apply(get_player_updates, axis=1)
# print(f'Sending {len(player_updates)} player updates to PD database...')
# if 'post_pitchers' not in arg_data or arg_data['post_pitchers'].lower() == 'true':
# for x in player_updates:
# await db_patch('players', object_id=x, params=player_updates[x])
print(f'Running player position updates..')
all_pos = await pd_positions_df(cardset['id'])