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base.py
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from ff_espn_api import League
import pprint
import requests
import json
from sqlalchemy import create_engine, Table, Column, Integer, String, MetaData, Numeric
import pandas as pd
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import json
league_id = 372479
year = 2019
espn_s2 = 'AEAaGZHXv3kXMPXr4viwCvBYoTDLFWY8fQG7LQSLknXFpqPSSFRH2W0MSAXTTEGMWJg00zr4dLi8KPcEaqU3wLHgsyPWAp0evnI3BEdazrgInOkk55O3GScldvWUSV7bumfB%2FzGvdJu9cV7XyFpiS5I%2Bfiq31y3CrNFsIWmOZS7nh1Y7ouyoak0fpn8rBDx1OpbyuSo6b28Ff6gJ1qZaFZhNmMLVHFyCS5puOXA7yqH3VDHrGDktg9MqYJ2ZkTyMh9LcEqPij8doi1oCUMyDk52z'
SWID = 'C6F96922-51CD-484F-8A11-92181C47554F'
league_id2 = 12132683
league = League(league_id, year, espn_s2, SWID)
scoringleaders = league._return_scoring_leaders('2')
def get_stats(player, period):
stats = player['stats']
for item in stats:
if item['id'] == period + '2019':
objectplayer['pts'] = item['appliedTotal']
objectplayer['avg_pts'] = item['appliedAverage']
objectplayer['attempts'] = item['stats']['0']
objectplayer['completed'] = item['stats']['1']
objectplayer['passing_yds'] = item['stats']['3']
objectplayer['completion_pct'] = item['stats']['21']
#guess objectplayer['interceptions'] = item['stats']['20']
objectplayer['passing_tds'] = item['stats']['4']
objectplayer['rushes'] = item['stats']['23']
objectplayer['rushing_yds'] = item['stats']['24']
objectplayer['rushing_tds'] = item['stats']['25']
print(item['appliedTotal'])
def setup_weekly_table():
meta = MetaDatat()
weekly = Table('mytable', meta,
Column('id', Integer, primary_key=True),
Column('name', String),
Column('pts', Numeric),
Column('attempts', Integer),
Column('completed', Integer),
Column('passing_yds', Numeric),
Column('completion_pct', Numeric),
Column('intercetptions', Integer),
Column('passing_tds', Integer),
Column('rushes', Integer),
Column('rushing_yds', Numeric),
Column('rushing_tds', Integer),
Column('rushing_tds', Integer),
Column('fumbles', Integer),
Column('receptions', Integer),
Column('receiving_yds', Numeric),
Column('receiving_tds', Integer),
Column('tar', Integer),
Column('twopc', Integer),
Column('projection', Numeric),
Column('opponent', String),
Column('ff_team', String),
Column('onteam_status', String),
Column('on_team_id', Integer),
Column('pro_team_id', Integer),
Column('position_id', Integer),
Column('jersey', Integer),
Column('bye_wk', Integer),
Column('position_name', String)
)
weekly.create(engine)
def create_dict():
pass
def insert_sql(player_dict):
pass
def search_by_name(players, searchname):
for i,player in enumerate(players):
if player['player']['fullName'] == searchname:
print(searchname + ' found')
return player
class Player(dict):
def __init__(self, playerlist, name):
super(Player, self).__init__(search_by_name(playerlist, name))
self.id = self['id']
self.name = self['player']['fullName']
self.on_team_id = self['onTeamId']
self.pro_team_id = self['player']['proTeamId']
self.jersey = self['player'].get('jersey')
#self.stats = self['player']['stats']
self.position_id = self['player']['defaultPositionId']
try:
self.bye_wk = self['player']['outlooks']['outlooksByeWeek']
except KeyError:
self.bye_wk = '0'
#self. = self['player']['stats'][-1]['stats'][]
try:
self.pts = self['player']['stats'][-1]['appliedTotal']
self.avg_pts = self['player']['stats'][-1].get('appliedAverage', 0)
self.attempts = self['player']['stats'][-1]['stats'].get('0', 0)
self.completed = self['player']['stats'][-1]['stats'].get('1', 0)
self.passing_yds = self['player']['stats'][-1]['stats'].get('3', 0)
self.completion_pct = self['player']['stats'][-1]['stats'].get('21', 0)
self.interceptions = self['player']['stats'][-1]['stats'].get('20', 0)
self.passing_tds = self['player']['stats'][-1]['stats'].get('4', 0)
self.rushing_tds = self['player']['stats'][-1]['stats'].get('25', 0)
self.rushing_yds = self['player']['stats'][-1]['stats'].get('24', 0)
self.rushes = self['player']['stats'][-1]['stats'].get('23', 0)
self.receptions = self['player']['stats'][-1]['stats'].get('41', 0)
self.receiving_yds = self['player']['stats'][-1]['stats'].get('42', 0)
self.receiving_tds = self['player']['stats'][-1]['stats'].get('43', 0)
self.tar = self['player']['stats'][-1]['stats'].get('58', 0)
self.twopc = self['player']['stats'][-1]['stats'].get('62', 0)
self.fg = self['player']['stats'][-1]['stats'].get('83', 0)
self.fga = self['player']['stats'][-1]['stats'].get('84', 0)
self.fg39 = self['player']['stats'][-1]['stats'].get('80',0)
self.fga39 = self['player']['stats'][-1]['stats'].get('81',0)
self.fg49 = self['player']['stats'][-1]['stats'].get('77',0)
self.fga49 = self['player']['stats'][-1]['stats'].get('78',0)
self.fg50 = self['player']['stats'][-1]['stats'].get('74',0)
self.fga50 = self['player']['stats'][-1]['stats'].get('75',0)
self.xp =self['player']['stats'][-1]['stats'].get('86',0)
self.xpa =self['player']['stats'][-1]['stats'].get('87',0)
self.position_name = self.position_map()
self.ff_team = self.ff_team_map()
self.pro_team = self.pro_team_map()
self.df_dict = {
'id':self.id,
'name':self.name,
'on_team_id':self.on_team_id,
'pro_team_id':self.pro_team_id,
'jersey':self.jersey,
'position_id':self.position_id,
'bye_wk':self.bye_wk,
'pts':self.pts,
'avg_pts':self.avg_pts,
'attempts':self.attempts,
'completed':self.completed,
'passing_yds':self.passing_yds,
'completion_pct':self.completion_pct,
'interceptions':self.interceptions,
'passing_tds':self.passing_tds,
'rushing_tds':self.rushing_tds,
'rushing_yds':self.rushing_yds,
'rushes':self.rushes,
'receptions':self.receptions,
'receiving_yds':self.receiving_yds,
'receiving_tds':self.receiving_tds,
'tar':self.tar,
'twopc':self.twopc,
'position_name':self.position_map(),
'ff_team':self.ff_team_map(),
'pro_team':self.pro_team_map(),
'fg':self.fg,
'fga':self.fga,
'fg39':self.fg39,
'fga39':self.fga39,
'fg49':self.fg49,
'fga49':self.fga49,
'fg50':self.fg50,
'fga50':self.fga50,
'xp':self.xp,
'xpa':self.xpa
}
except KeyError:
self.df_dict = {}
def position_map(self):
position_name = {
1:'QB',
2:'RB',
3:'WR',
4:'TE',
5:'K',
6:'IDP',
7: 'IDP',
8: 'IDP',
9: 'IDP',
10: 'IDP',
11: 'IDP',
12: 'IDP',
13: 'IDP',
14: 'IDP',
15: 'IDP',
16: 'DST'
}
return position_name[self.position_id]
def ff_team_map(self):
ff_team_map = {
0: 'FA',
1:'KIM',
2:'FBI',
3:'LEE',
4:'CHUB',
5:'',
6:'BRY',
7:'MATT',
8:'ASS',
9:'MPB',
10:'GM',
11:'GGWL',
12:'HOG',
13:'LUER'
}
return ff_team_map[self.on_team_id]
def pro_team_map(self):
pro_team_map = {
0:'FA',
1:'ATL',
2:'BUF',
3:'CHI',
4:'CIN',
5:'CLE',
6:'DAL',
7:'DEN',
8:'DET',
9:'GB',
10:'TEN',
11:'IND',
12:'KC',
13:'OAK',
14:'LAR',
15:'MIA',
16:'MIN',
17:'NE',
18:'NO',
19:'NYG',
20:'NYJ',
21:'PHI',
22:'ARI',
23:'PIT',
24:'LAC',
25:'SF',
26:'SEA',
27:'TB',
28:'WAS',
29:'CAR',
30:'JAX',
31:'',
32:'',
33:'BAL',
34:'HOU'
}
return pro_team_map[self.pro_team_id]
def load_row(self, engine, table, player):
stmt = table.update().values(player)
def load_all(self):
engine = create_engine('sqlite+pysqlite:///sqlite3.db')
#Session = sessionmaker(bind=engine)
#session = Session()
#Base = declarative_base()
meta = MetaData()
weekly = Table('mytable', meta,
Column('id', Integer, primary_key=True),
Column('name', String),
Column('pts', Numeric),
Column('attempts', Integer),
Column('completed', Integer),
Column('passing_yds', Numeric),
Column('completion_pct', Numeric),
Column('intercetptions', Integer),
Column('passing_tds', Integer),
Column('rushes', Integer),
Column('rushing_yds', Numeric),
Column('rushing_tds', Integer),
Column('rushing_tds', Integer),
Column('fumbles', Integer),
Column('receptions', Integer),
Column('receiving_yds', Numeric),
Column('receiving_tds', Integer),
Column('tar', Integer),
Column('twopc', Integer),
Column('projection', Numeric),
Column('opponent', String),
Column('ff_team', String),
Column('onteam_status', String),
Column('on_team_id', Integer),
Column('pro_team_id', Integer),
Column('position_id', Integer),
Column('jersey', Integer),
Column('bye_wk', Integer),
Column('position_name', String)
)
weekly.create(engine)
def fill_list(scoringleaders):
players = scoringleaders['players']
big_list = [Player(players, leader['player']['fullName']).df_dict for leader in players]
return big_list
def list_to_csv(big_list, file_name):
df = pd.DataFrame(data=big_list)
df.to_csv(file_name)
def weekly(previous, current, week):
df3 = pd.DataFrame()
df3['id'] = df2['id']
df3['name'] = df2['name']
df3['on_team_id'] = df2['on_team_id']
df3['pro_team_id'] = df2['pro_team_id']
df3['jersey'] = df2['jersey']
df3['position_id'] = df2['position_id']
df3['bye_wk'] = df2['bye_wk']
df3['pts'] = df2['pts'] - df1['pts']
df3['avg_pts'] = df2['avg_pts']
df3['attempts'] = df2['attempts'] - df1['attempts']
df3['completed'] = df2['completed'] - df1['completed']
df3['passing_yds'] = df2['passing_yds'] - df1['passing_yds']
df3['completion_pct'] = df3['completed'] / df3['attempts']
df3['interceptions'] = df2['interceptions'] - df1['interceptions']
df3['passing_tds'] = df2['passing_tds'] - df1['passing_tds']
df3['rushing_tds'] = df2['rushing_tds'] - df1['rushing_tds']
df3['rushing_yds'] = df2['rushing_yds'] - df1['rushing_yds']
df3['rushes'] = df2['rushes'] - df1['rushes']
df3['receptions'] = df2['receptions'] = df1['receptions']
df3['receiving_yds'] = df2['receiving_yds'] - df1['receiving_yds']
df3['tar'] = df2['tar'] - df1['tar']
df3['twopc'] = df2['twopc'] - df1['twopc']
df3['position_name'] = df2['position_name']
df3['ff_team'] = df2['ff_team']
df3['pro_team'] = df2['pro_team']
df3['fg'] = df2['fg'] - df1['fg']
df3['fga'] = df2['fga'] - df1['fga']
df3['fga39'] = df2['fga39'] - df1['fga39']
df3['fg49'] = df2['fg49'] - df1['fg49']
df3['fga49'] = df2['fga49'] - df1['fga49']
df3['fg50'] = df2['fg50'] - df1['fg50']
df3['fga50'] = df2['fga50'] - df1['fga50']
df3['xp'] = df2['xp'] = df1['xp']
df3['xpa'] = df2['xpa'] - df1['xpa']
return df3