def update_pstats_starter():
db = dfm.create_nba_dbwrapper()
queries = PStatsStarterUpdate(db.conn).create_queries()
db_update = udb.DBUpdate(db)
log_path = create_log_path('DB Update - starter')
db_update.update(queries, log_path)
def add_new_tstats():
db = dfm.create_nba_dbwrapper()
min_gd = db.query_scalar('SELECT MAX(gd) FROM teamstats')
max_gd = datetime.datetime.today()
queries = NewTStats(min_gd, max_gd).create_queries()
db_update = udb.DBUpdate(db)
log_path = create_log_path('DB Insert - TStats')
db_update.update(queries, log_path)
def update_pstats_tsid(season=None):
db = dfm.create_nba_dbwrapper()
queries = PStatsTSIDUpdate(db.conn, season).create_queries()
db_update = udb.DBUpdate(db)
if season:
log_path = create_log_path('DB Update - tsid - {}'.format(season))
else:
log_path = create_log_path('DB Update - tsid')
db_update.update(queries, log_path)
idx = row[idx_col]
new_name = udb.clean_str_for_sql(row['new_name'])
s = "UPDATE {} SET {} = '{}' WHERE {} = {}".format(table, name_field,
new_name, idx_col, idx)
return s
to_update = [('SELECT * FROM injuries', 'injuries', 'player', 'id'),
('SELECT * FROM news', 'news', 'player', 'id'),
('SELECT * FROM playerstats WHERE season IN (2017, 2018)',
'playerstats', 'player', 'id')]
all_queries = []
db = dfm.create_nba_dbwrapper()
# Build all queries.
for (sql, table, name_col, idx_col) in to_update:
df = db.query_df(sql)
df['new_name'] = df[name_col].apply(get_new_name)
df = df[df['new_name'].notnull()]
df['update_sql'] = df.apply(create_sql_name_update,
axis=1,
args=(idx_col, name_col, table))
queries = df['update_sql'].tolist()
all_queries = all_queries + queries
# Execute all queries.
db_update = udb.DBUpdate(db)
log_path = dfm.Folders.DFExperiments + 'update_names'
db_update.update(all_queries, log_path)