def find_summary(game_id):
# 0041400161
summary = 'http://stats.nba.com/stats/boxscoresummaryv2?GameID=' \
+ str(game_id)
summary_resp = requests.get(summary)
if summary_resp.status_code >= 400:
print('no such game ' + str(summary_resp.status_code))
return False
try:
home_team_id = summary_resp.json()['resultSets'][0]['rowSet'][0][6]
line_score = summary_resp.json()['resultSets'][5]
line_score['headers'].append('IS_HOME')
is_home = (line_score['rowSet'][0][3] == home_team_id)
line_score['rowSet'][0].append(is_home)
line_score['rowSet'][1].append(not is_home)
# CsvHelper.list2d_to_csv(
# dict_to_list2d(game_summary), 'summary_' + str(game_id)
# )
CsvHelper.list2d_to_csv(
dict_to_list2d(line_score), PATH + 'line_score_' + str(game_id)
)
except (KeyError, IndexError, TypeError, ValueError):
print(summary)
return True
def find_live(game_id, period):
# http://china.nba.com/wap/static/data/game/playbyplay_0041400311_4.json
aim = 'http://china.nba.com/wap/static/data/game/playbyplay_' \
+ str(game_id) + \
'_' \
+ str(period) + \
'.json'
game = requests.get(aim)
game.encoding = 'utf-8'
if game.status_code >= 400:
print('no suck game ' + str(game.status_code))
return False
try:
events = game.json()['payload']['playByPlays'][0]['events']
file_id = PATH + 'live' + str(game_id) + '_' + str(period)
# CsvHelper.dict_to_csv_stream(events[0])
# for x in range(1, len(events)):
# CsvHelper.dict_to_csv_stream(
# events[x], False
# )
CsvHelper.dict_to_csv(events[0], file_id)
for x in range(1, len(events)):
CsvHelper.dict_to_csv(
events[x], file_id, False, mode='a'
)
except (ValueError, IndexError):
print(aim)
return True
def find_live(game_id, period):
# http://china.nba.com/wap/static/data/game/playbyplay_0041400311_4.json
aim = 'http://china.nba.com/wap/static/data/game/playbyplay_' \
+ str(game_id) + \
'_' \
+ str(period) + \
'.json'
game = requests.get(aim)
game.encoding = 'utf-8'
if game.status_code >= 400:
print('no suck game ' + str(game.status_code))
return False
try:
events = game.json()['payload']['playByPlays'][0]['events']
file_id = PATH + 'live' + str(game_id) + '_' + str(period)
# CsvHelper.dict_to_csv_stream(events[0])
# for x in range(1, len(events)):
# CsvHelper.dict_to_csv_stream(
# events[x], False
# )
CsvHelper.dict_to_csv(events[0], file_id)
for x in range(1, len(events)):
CsvHelper.dict_to_csv(events[x], file_id, False, mode='a')
except (ValueError, IndexError):
print(aim)
return True
def player_profile(player_id, season=SeasonType.regular):
url = 'http://stats.nba.com/stats/commonplayerinfo?LeagueID=00&PlayerID=' \
+ str(player_id) + \
'&SeasonType=' \
+ season.value
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
CsvHelper.list2d_to_csv(dict_to_list2d(stats),
'player_profile_' + str(player_id))
def player_profile(player_id, season=SeasonType.regular):
url = 'http://stats.nba.com/stats/commonplayerinfo?LeagueID=00&PlayerID=' \
+ str(player_id) + \
'&SeasonType=' \
+ season.value
response = requests.get(url)
if not valid_response(response):
return
stats = response.json()['resultSets'][0]
CsvHelper.list2d_to_csv(
dict_to_list2d(stats), 'player_profile_' + str(player_id)
)
def find_detail(season, game_id, detail_type):
# http://stats.nba.com/stats/boxscoreadvancedv2?EndPeriod=10&EndRange=28800&GameID=
# 0020000654
# &RangeType=2&Season=
# 2000-01
# &SeasonType=Regular+Season&StartPeriod=1&StartRange=0
# '2014-15', 0021400160
detail = 'http://stats.nba.com/stats/boxscore' \
+ str(detail_type.name) + \
'v2?EndPeriod=10&EndRange=28800&' \
'GameID=' \
+ str(game_id) + \
'&RangeType=2&Season=' \
+ str(season) + \
'&SeasonType=Regular+Season&StartPeriod=1&StartRange=0'
detail_resp = requests.get(detail)
if detail_resp.status_code >= 400:
print('no such game ' + str(detail_resp.status_code))
return False
try:
player_stats = detail_resp.json()['resultSets'][0]
team_stats = detail_resp.json()['resultSets'][1]
from hw_scrape import CsvHelper
CsvHelper.list2d_to_csv(
dict_to_list2d(player_stats), PATH + 'player_' + str(game_id) + UNDER + str(detail_type.name)
)
CsvHelper.list2d_to_csv(
dict_to_list2d(team_stats), PATH + 'team_' + str(game_id) + UNDER + str(detail_type.name)
)
except (KeyError, IndexError, TypeError):
print(detail)
return True