def get_game_play_by_play_dataframe_v7(event_id, game_unit,
period_id_list):
pbp_json_list = [
FibaCommunicator.get_game_play_by_play_v7(
event_id, game_unit, p)['content']['full']['Items']
for p in period_id_list
]
df = pd.DataFrame(sum(pbp_json_list, []))
update_xy_v7(df)
update_pbp_stats_v7(df)
return df
def get_game_stats_dataframe_v7(event_id, game_unit):
game_json = FibaCommunicator.get_game_team_stats_v7(
event_id, game_unit)
team_stats_json = game_json['content']['full']['Competitors']
for t in team_stats_json:
#Team Stats
t['Stats']['Name'] = t['Name']
t['Stats']['TeamCode'] = t['TeamCode']
t['Stats']['Periods'] = t['Periods']
t['Stats']['PeriodIdList'] = [p['Id'] for p in t['Periods']]
t['Stats']['SECS'] = 60 * 5 * game_time(len(t['Periods']))
t['Stats']['TP'] = base60_to(t['Stats']['SECS'])
#Player Stats
for p in t['Children']:
p['Stats']['TeamCode'] = t['TeamCode']
p['Stats']['TeamId'] = t['Id']
p['Stats']['JerseyNumber'] = p['JerseyNumber']
p['Stats']['Name'] = p['Name']
team_a_stats_json = team_stats_json[0]['Stats']
team_b_stats_json = team_stats_json[1]['Stats']
team_a_player_stats_list = [
p['Stats'] for p in team_stats_json[0]['Children']
]
team_b_player_stats_list = [
p['Stats'] for p in team_stats_json[1]['Children']
]
#Oppenent DREB for calculating OREB%
team_a_stats_json['OPP_DR'] = team_b_stats_json['DR']
team_b_stats_json['OPP_DR'] = team_a_stats_json['DR']
team_a_stats_json['OppTeamCode'] = team_b_stats_json['TeamCode']
team_b_stats_json['OppTeamCode'] = team_a_stats_json['TeamCode']
team_stats_df = pd.DataFrame([team_a_stats_json, team_b_stats_json])
player_stats_df = pd.DataFrame(team_a_player_stats_list +
team_b_player_stats_list)
update_secs_v7(player_stats_df)
return team_stats_df, player_stats_df
def get_game_details_dict_v7(event_id, game_unit):
dtl_dict = FibaCommunicator.get_game_details_v7(
event_id, game_unit)['content']['full']['Competitors']
id_table = {
k: ((v['TeamCode']) if v['IsTeam'] else
('{num} {short}{sur}'.format(num=v['Bib'].zfill(2),
short=v['FirstNameShort'],
sur=v['Name'])))
for k, v in dtl_dict.iteritems()
}
team_id_list = [k for k, v in dtl_dict.iteritems() if v['IsTeam']]
starter_dict = {
t: {
v['Id']
for v in dtl_dict.itervalues()
if (not v['IsTeam']) and v['Starter'] and v['ParentId'] == t
}
for t in team_id_list
}
return id_table, starter_dict
def get_game_data_dataframe_v5(match_id):
game_json = FibaCommunicator.get_game_data_v5(match_id)
team_stats_json = game_json['tm']
for t in team_stats_json.values():
#Team Stats
t['Name'] = t['nameInternational']
t['TeamCode'] = t['codeInternational']
t['Periods'] = [
{
'Id': period.replace('_score', '').replace('p',
'q').upper(),
'Score': score
} for period, score in t.iteritems()
if period.startswith('p') and period.endswith('_score')
]
if 'ot_score' in t:
t['Periods'].append({'Id': 'OT', 'Score': t['ot_score']})
t['PeriodIdList'] = [p['Id'] for p in t['Periods']]
if base60_from(t['tot_sMinutes']) == 0:
team_secs = sum(
[base60_from(p['sMinutes']) for p in t['pl'].values()])
t['tot_sMinutes'] = base60_to(team_secs)
#Player Stats
for p in t['pl'].values():
p['TeamCode'] = t['codeInternational']
p['JerseyNumber'] = p['shirtNumber']
p['Name'] = p['name'].replace(' ', '').upper()
p['NumName'] = '{num} {name}'.format(
num=p['JerseyNumber'].zfill(2), name=p['Name'])
team_a_stats_json = team_stats_json['1']
team_b_stats_json = team_stats_json['2']
team_a_player_stats_list = [
p for p in team_stats_json['1']['pl'].values()
]
team_b_player_stats_list = [
p for p in team_stats_json['2']['pl'].values()
]
#Oppenent DREB for calculating OREB%
team_a_stats_json['OPP_DR'] = team_b_stats_json[
'tot_sReboundsDefensive']
team_b_stats_json['OPP_DR'] = team_a_stats_json[
'tot_sReboundsDefensive']
team_a_stats_json['OppTeamCode'] = team_b_stats_json['TeamCode']
team_b_stats_json['OppTeamCode'] = team_a_stats_json['TeamCode']
team_stats_df = pd.DataFrame([team_a_stats_json, team_b_stats_json])
player_stats_df = pd.DataFrame(team_a_player_stats_list +
team_b_player_stats_list)
update_team_stats_v5_to_v7(team_stats_df)
update_player_stats_v5_to_v7(player_stats_df)
starter_dict = {
t['TeamCode']:
{p['NumName']
for p in t['pl'].values() if p['starter'] == 1}
for t in team_stats_json.values()
}
pbp_df = pd.DataFrame(reversed(game_json['pbp']))
update_pbp_stats_v5_to_v7(pbp_df, team_a_stats_json['TeamCode'],
team_b_stats_json['TeamCode'])
shot_df = pd.DataFrame(
sum([t['shot'] for t in team_stats_json.values()], []))
update_pbp_stats_v5_to_v7(shot_df, team_a_stats_json['TeamCode'],
team_b_stats_json['TeamCode'])
update_xy_v5(shot_df)
return team_stats_df, player_stats_df, starter_dict, pbp_df, shot_df
def test_get_game_team_stats_v7():
result = FibaCommunicator.get_game_team_stats_v7(event_id='208053',
game_unit='24532-18-A')
assert result['content']['full']['Competitors'][0]['Name'] == 'Pauian'
def test_get_game_data_v5():
result = FibaCommunicator.get_game_data_v5(match_id='1143749')
assert result['tm']['1']['name'] == 'Singapore Slingers'
def test_get_game_details_v7():
result = FibaCommunicator.get_game_details_v7(event_id='208153',
game_unit='25098-A-3')
assert result['content']['full']['Competitors']['T_57840'][
'Name'] == 'Fubon Braves'
def test_get_game_play_by_play_v7():
result = FibaCommunicator.get_game_play_by_play_v7(event_id='208053',
game_unit='24532-18-A',
period_id='Q1')
assert result['content']['full']['Items'][0]['Action'] == 'Start of Game'