def wpr(params, partitions): return gsgp.mine_patterns(partitions, *params)[0]
print(f'Loading Partition #{i+1}')
con = psycopg2.connect(database=db_name, user=uname, password=pw, host=host, port = port)
# traj = gpd.GeoDataFrame.from_postgis(traj_sql, con)
traj = pd.read_sql_query(traj_sql,con=con)
# ports = gpd.GeoDataFrame.from_postgis(ports_sql, con, geom_col='geom' )
# ports.geom = ports.geom.apply(lambda x: x[0])
con.close()
print(f'Starting Partition #{i+1} ---- {traj.datetime.max()}, {traj.datetime.min()}')
mined_patterns, start, last_ts = gsgp.mine_patterns(df = traj, mode = gp_type, min_diameter=distance, min_cardinality=cardinality, time_threshold=dt, checkpoints=False, checkpoints_freq=0.1, total=total, start=start, last_ts=last_ts, mined_patterns=mined_patterns)
print('Saving Result...')
mined_patterns.to_csv(save_name, index=False)
else:
dt_sql = 'SELECT datetime FROM ais_data.dynamic_ships_segmented_12h_resampled_1min '
con = psycopg2.connect(database=db_name, user=uname, password=pw, host=host, port = port)
print('loading data')
# traj = gpd.GeoDataFrame.from_postgis(traj_sql, con)
datet = pd.read_sql_query(dt_sql,con=con)
total = datet.datetime.nunique()