TS = Timeseries(pool=curw_sim_pool)
tms_id = TS.get_timeseries_id_if_exists(meta_data=meta_data)
start_date = (datetime.now() -
timedelta(days=10)).strftime('%Y-%m-%d %H:00:00')
end_date = (datetime.now() + timedelta(
hours=5, minutes=30)).strftime('%Y-%m-%d %H:00:00')
if tms_id is None:
tms_id = TS.generate_timeseries_id(meta_data=meta_data)
meta_data['id'] = tms_id
TS.insert_run(meta_data=meta_data)
else:
obs_end = TS.get_obs_end(tms_id)
if obs_end is not None:
start_date = (
obs_end -
timedelta(days=1)).strftime('%Y-%m-%d %H:00:00')
processed_tide_ts = prepare_obs_tide_ts(
connection=connection,
start_date=start_date,
end_date=end_date,
extract_station=station_name)
for i in range(len(processed_tide_ts)):
if len(processed_tide_ts[i]) < 2:
processed_tide_ts.remove(processed_tide_ts[i])
'method':
method,
'grid_id':
'tide_{}'.format(station_name)
}
TS = Timeseries(pool=curw_sim_pool)
tms_id = TS.get_timeseries_id_if_exists(meta_data=meta_data)
if tms_id is None:
tms_id = TS.generate_timeseries_id(meta_data=meta_data)
meta_data['id'] = tms_id
TS.insert_run(meta_data=meta_data)
obs_end = TS.get_obs_end(id_=tms_id)
ts_end = TS.get_timeseries_end(id_=tms_id)
processed_tide_ts = []
if method in ('TSF'):
timeseries = read_csv('{}/{}.csv'.format(
INPUT_DIR, fcst_station_name))
tide_ts = []
if obs_end is None:
tide_ts = timeseries
else:
tide_ts = extract_ts_from(start_date=obs_end.strftime(