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games.py
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import json
import pandas as pd
import requests
import sys
import datetime
import logging
import common as cmn
import socks
import socket
gameLogger = logging.getLogger('job_run')
teams = list()
games = list()
season = str()
season_type = str()
job_detail_name = str()
dt_str = str()
socks.setdefaultproxy(proxy_type=socks.PROXY_TYPE_SOCKS5, addr="127.0.0.1", port=9050)
def pull_game_player_trck_stat(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_trck_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_trck_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_four_factor_stat(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_four_factor_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_four_factor_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_usage_stat(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_usage_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_usage_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_scoring_stat(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_scoring_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_scoring_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_misc_stat(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_misc_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_misc_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_box_score_adv(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_player.to_csv(cmn.data_folder + 'game_player_adv_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_adv_stat_' + dt_str + '.' + season + '.dat', sep='|')
def pull_game_box_score(measure_api, measure_url):
_df_player = pd.DataFrame()
_df_team = pd.DataFrame()
_df_starter_bench = pd.DataFrame()
for game in games:
base_url = measure_url.replace('^game_id^', str(game[0]))
base_url = base_url.replace('^season_type^', season_type)
base_url = base_url.replace('^season^', season)
gameLogger.debug('{0} - BASE_URL => {1}'.format(cmn.fn(), base_url))
gameLogger.info('{0}/{1}/{2}/{3}/{4}'.format(game[0], game[1], game[2], season, job_detail_name))
response = requests.get(base_url)
data = json.loads(response.text)
player_header = data['resultSets'][0]['headers']
player_data = data['resultSets'][0]['rowSet']
team_header = data['resultSets'][1]['headers']
team_data = data['resultSets'][1]['rowSet']
starter_bench_header = data['resultSets'][2]['headers']
starter_bench_data = data['resultSets'][2]['rowSet']
df_player = pd.DataFrame(player_data, columns=player_header)
df_player['season'] = season
df_player['season_type'] = season_type
df_team = pd.DataFrame(team_data, columns=team_header)
df_team['season'] = season
df_team['season_type'] = season_type
df_starter_bench = pd.DataFrame(starter_bench_data, columns=starter_bench_header)
df_starter_bench['season'] = season
df_starter_bench['season_type'] = season_type
_df_player = _df_player.append(df_player)
_df_team = _df_team.append(df_team)
_df_starter_bench = _df_starter_bench.append(df_starter_bench)
_df_player.to_csv(cmn.data_folder + 'game_player_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_team.to_csv(cmn.data_folder + 'game_team_stat_' + dt_str + '.' + season + '.dat', sep='|')
_df_starter_bench.to_csv(cmn.data_folder + 'game_starter_bench_' + dt_str + '.' + season + '.dat', sep='|')
def main(p_measures, p_teams, p_games, p_season, p_season_type, p_dt_str):
global teams
global games
global season
global season_type
global job_detail_name
global dt_str
teams = p_teams
games = p_games
season = p_season
season_type = p_season_type
dt_str = p_dt_str
for measure in p_measures:
measure_api = measure[2]
measure_stat = measure[0]
measure_url = measure[3]
job_detail_name = measure[4]
is_measure_active = measure[5]
if not is_measure_active:
continue
# print(measure_stat)
if measure_stat == 1:
pull_game_box_score(measure_api, measure_url)
elif measure_stat == 2:
pull_game_box_score_adv(measure_api, measure_url)
elif measure_stat == 3:
pull_game_misc_stat(measure_api, measure_url)
elif measure_stat == 4:
pull_game_scoring_stat(measure_api, measure_url)
elif measure_stat == 5:
pull_game_usage_stat(measure_api, measure_url)
elif measure_stat == 6:
pull_game_four_factor_stat(measure_api, measure_url)
elif measure_stat == 7:
pull_game_player_trck_stat(measure_api, measure_url)
else:
print('Error:No measure stat found')
if __name__ == "__main__":
main()