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schedule_handler.py
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schedule_handler.py
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from numpy.core.fromnumeric import mean
import pandas as pd
import numpy as np
import xgboost as xgb
import os
import re
import json
import time
import http
import urllib
from urllib.error import URLError, HTTPError, ContentTooShortError
from datetime import datetime
from itertools import chain, starmap
class ScheduleProcess(object):
season = 0
path_to_json = '/'
def __init__(self, season = 0, path_to_json = '/'):
self.season = int(season)
self.path_to_json = path_to_json
def download(self, url, num_retries=5):
try:
html = urllib.request.urlopen(url).read()
except (URLError, HTTPError, ContentTooShortError, http.client.HTTPException, http.client.IncompleteRead) as e:
print('Download error:', url)
html = None
if num_retries > 0:
if hasattr(e, 'code') and 500 <= e.code < 600:
time.sleep(10)
# recursively retry 5xx HTTP errors
return self.download(url, num_retries - 1)
if num_retries > 0:
if e == http.client.IncompleteRead:
time.sleep(10)
return self.download(url, num_retries - 1)
return html
def mbb_calendar(self):
season = self.season
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/mens-college-basketball/scoreboard?dates={}".format(season)
resp = self.download(url=url)
txt = json.loads(resp)['leagues'][0]['calendar']
datenum = list(map(lambda x: x[:10].replace("-",""),txt))
date = list(map(lambda x: x[:10],txt))
year = list(map(lambda x: x[:4],txt))
month = list(map(lambda x: x[5:7],txt))
day = list(map(lambda x: x[8:10],txt))
data = {
"season": season,
"datetime" : txt,
"date" : date,
"year": year,
"month": month,
"day": day,
"dateURL": datenum
}
df = pd.DataFrame(data)
df['url']="http://site.api.espn.com/apis/site/v2/sports/basketball/mens-college-basketball/scoreboard?dates="
df['url']= df['url'] + df['dateURL']
return df
def mbb_schedule(self):
year = self.season
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/mens-college-basketball/scoreboard?dates={}".format(year)
resp = self.download(url=url)
txt = json.loads(resp)['leagues'][0]['calendar']
# print(len(txt))
txt = list(map(lambda x: x[:10].replace("-",""),txt))
ev = pd.DataFrame()
i=0
for date in txt:
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/mens-college-basketball/scoreboard?groups=50&dates={}&limit=1000".format(date)
resp = self.download(url=url)
if resp is not None:
events_txt = json.loads(resp)
events = events_txt['events']
for event in events:
bad_keys = ['linescores', 'statistics', 'leaders', 'records']
for k in bad_keys:
if k in event['competitions'][0]['competitors'][0].keys():
del event['competitions'][0]['competitors'][0][k]
if k in event['competitions'][0]['competitors'][1].keys():
del event['competitions'][0]['competitors'][1][k]
if 'links' in event['competitions'][0]['competitors'][0]['team'].keys():
del event['competitions'][0]['competitors'][0]['team']['links']
if 'links' in event['competitions'][0]['competitors'][1]['team'].keys():
del event['competitions'][0]['competitors'][1]['team']['links']
if event['competitions'][0]['competitors'][0]['homeAway']=='home':
event['competitions'][0]['home'] = event['competitions'][0]['competitors'][0]['team']
else:
event['competitions'][0]['away'] = event['competitions'][0]['competitors'][0]['team']
if event['competitions'][0]['competitors'][1]['homeAway']=='away':
event['competitions'][0]['away'] = event['competitions'][0]['competitors'][1]['team']
else:
event['competitions'][0]['home'] = event['competitions'][0]['competitors'][1]['team']
del_keys = ['competitors', 'broadcasts','geoBroadcasts', 'headlines']
for k in del_keys:
if k in event['competitions'][0].keys():
del event['competitions'][0][k]
event_info = pd.json_normalize(event['competitions'][0])
event_info['game_id'] = event_info['id'].astype(int)
event_info['season_type'] = event['season']['type']
ev = ev.append(event_info)
i+=1
ev['season']=year
else:
i+=1
continue
return ev
def nba_calendar(self):
season = self.season
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard?dates={}".format(season)
resp = self.download(url=url)
txt = json.loads(resp)['leagues'][0]['calendar']
datenum = list(map(lambda x: x[:10].replace("-",""),txt))
date = list(map(lambda x: x[:10],txt))
year = list(map(lambda x: x[:4],txt))
month = list(map(lambda x: x[5:7],txt))
day = list(map(lambda x: x[8:10],txt))
data = {"season": season,
"datetime" : txt,
"date" : date,
"year": year,
"month": month,
"day": day,
"dateURL": datenum
}
df = pd.DataFrame(data)
df['url']="http://site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard?dates="
df['url']= df['url'] + df['dateURL']
return df
def nba_schedule(self):
season = self.season
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard?dates={}".format(season)
resp = self.download(url=url)
txt = json.loads(resp)['leagues'][0]['calendar']
# print(len(txt))
txt = list(map(lambda x: x[:10].replace("-",""),txt))
ev = pd.DataFrame()
i=0
for date in txt:
url = "http://site.api.espn.com/apis/site/v2/sports/basketball/nba/scoreboard?dates={}&limit=1000".format(date)
resp = self.download(url=url)
if resp is not None:
events_txt = json.loads(resp)
events = events_txt['events']
for event in events:
bad_keys = ['linescores', 'statistics', 'leaders', 'records']
for k in bad_keys:
if k in event['competitions'][0]['competitors'][0].keys():
del event['competitions'][0]['competitors'][0][k]
if k in event['competitions'][0]['competitors'][1].keys():
del event['competitions'][0]['competitors'][1][k]
if 'links' in event['competitions'][0]['competitors'][0]['team'].keys():
del event['competitions'][0]['competitors'][0]['team']['links']
if 'links' in event['competitions'][0]['competitors'][1]['team'].keys():
del event['competitions'][0]['competitors'][1]['team']['links']
if event['competitions'][0]['competitors'][0]['homeAway']=='home':
event['competitions'][0]['home'] = event['competitions'][0]['competitors'][0]['team']
else:
event['competitions'][0]['away'] = event['competitions'][0]['competitors'][0]['team']
if event['competitions'][0]['competitors'][1]['homeAway']=='away':
event['competitions'][0]['away'] = event['competitions'][0]['competitors'][1]['team']
else:
event['competitions'][0]['home'] = event['competitions'][0]['competitors'][1]['team']
del_keys = ['competitors', 'broadcasts','geoBroadcasts', 'headlines']
for k in del_keys:
if k in event['competitions'][0].keys():
del event['competitions'][0][k]
event_info = pd.json_normalize(event['competitions'][0])
event_info['game_id'] = event_info['id'].astype(int)
event_info['season_type'] = event['season']['type']
ev = ev.append(event_info)
i+=1
ev['season']=season
else:
i+=1
return ev