def station_list(cnn, stations, dates):
stations = process_stnlist(cnn, stations)
stn_obj = StationCollection()
# use the connection to the db to get the stations
for Stn in tqdm(sorted(stations,
key=lambda s: (s['NetworkCode'], s['StationCode'])),
ncols=80,
disable=None):
NetworkCode = Stn['NetworkCode']
StationCode = Stn['StationCode']
rs = cnn.query(
'SELECT * FROM rinex_proc WHERE "NetworkCode" = \'%s\' AND "StationCode" = \'%s\' AND '
'("ObservationYear", "ObservationDOY") BETWEEN (%s) AND (%s)' %
(NetworkCode, StationCode, dates[0].yyyy() + ', ' + dates[0].ddd(),
dates[1].yyyy() + ', ' + dates[1].ddd()))
if rs.ntuples() > 0:
tqdm.write(' -- %s -> adding...' % stationID(Stn))
try:
stn_obj.append(Station(cnn, NetworkCode, StationCode, dates))
except pyETMException:
tqdm.write(
' %s -> station exists, but there was a problem initializing ETM.'
% stationID(Stn))
else:
tqdm.write(' -- %s -> no data for requested time window' %
stationID(Stn))
return stn_obj
def station_list(cnn, NetworkConfig, dates):
stations = process_stnlist(cnn, NetworkConfig['stn_list'].split(','))
stn_obj = []
# use the connection to the db to get the stations
for Stn in tqdm(sorted(stations), ncols=80):
NetworkCode = Stn['NetworkCode']
StationCode = Stn['StationCode']
# apply date -1 and date + 1 to avoid problems with files ending at 00:00 of date + 1
rs = cnn.query(
'SELECT * FROM rinex_proc WHERE "NetworkCode" = \'%s\' AND "StationCode" = \'%s\' AND '
'"ObservationSTime" >= \'%s\' AND "ObservationETime" <= \'%s\''
% (NetworkCode, StationCode, (dates[0] - 1).first_epoch(), (dates[1] + 1).last_epoch()))
if rs.ntuples() > 0:
tqdm.write(' -- %s.%s -> adding...' % (NetworkCode, StationCode))
try:
stn_obj.append(Station(cnn, NetworkCode, StationCode, dates))
except pyETMException:
tqdm.write(' %s.%s -> station exists, but there was a problem initializing ETM.'
% (NetworkCode, StationCode))
else:
tqdm.write(' -- %s.%s -> no data for requested time window' % (NetworkCode, StationCode))
# analyze duplicate names in the list of stations
stn_obj = check_station_codes(stn_obj)
return stn_obj
def main():
parser = argparse.ArgumentParser(description='GNSS time series stacker')
parser.add_argument('project_file', type=str, nargs=1, metavar='{project cfg file}',
help="Project CFG file with all the stations being processed in Parallel.GAMIT")
args = parser.parse_args()
cnn = dbConnection.Cnn("gnss_data.cfg")
GamitConfig = GamitConfiguration(args.project_file[0], check_config=False) # type: GamitConfiguration
stations = process_stnlist(cnn, GamitConfig.NetworkConfig['stn_list'].split(','))
generate_kml(cnn, GamitConfig.NetworkConfig.network_id.lower(), stations)
def main():
parser = argparse.ArgumentParser(
description='Plot ETM for stations in the database')
parser.add_argument(
'stnlist',
type=str,
nargs='+',
help=
"List of networks/stations to plot given in [net].[stnm] format or just [stnm] "
"(separated by spaces; if [stnm] is not unique in the database, all stations with that "
"name will be plotted). Use keyword 'all' to plot all stations in all networks. "
"If [net].all is given, all stations from network [net] will be plotted"
)
parser.add_argument('-nop',
'--no_plots',
action='store_true',
help="Do not produce plots",
default=False)
parser.add_argument('-nom',
'--no_missing_data',
action='store_true',
help="Do not show missing days",
default=False)
parser.add_argument('-nm',
'--no_model',
action='store_true',
help="Plot time series without fitting a model")
parser.add_argument('-r',
'--residuals',
action='store_true',
help="Plot time series residuals",
default=False)
parser.add_argument(
'-dir',
'--directory',
type=str,
help=
"Directory to save the resulting PNG files. If not specified, assumed to be the "
"production directory")
parser.add_argument(
'-json',
'--json',
type=int,
help="Export ETM adjustment to JSON. Append '0' to just output "
"the ETM parameters, '1' to export time series without "
"model and '2' to export both time series and model.")
parser.add_argument(
'-gui',
'--interactive',
action='store_true',
help="Interactive mode: allows to zoom and view the plot interactively"
)
parser.add_argument(
'-win',
'--time_window',
nargs='+',
metavar='interval',
help=
'Date range to window data. Can be specified in yyyy/mm/dd, yyyy.doy or as a single '
'integer value (N) which shall be interpreted as last epoch-N')
parser.add_argument(
'-q',
'--query',
nargs=2,
metavar='{type} {date}',
type=str,
help=
'Dates to query the ETM. Specify "model" or "solution" to get the ETM value or the value '
'of the daily solution (if exists). Output is in XYZ.')
parser.add_argument(
'-gamit',
'--gamit',
type=str,
nargs=1,
metavar='{stack}',
help="Plot the GAMIT time series specifying which stack name to plot.")
parser.add_argument(
'-lang',
'--language',
type=str,
help="Change the language of the plots. Default is English. "
"Use ESP to select Spanish. To add more languages, "
"include the ISO 639-1 code in pyETM.py",
default='ENG')
parser.add_argument('-hist',
'--histogram',
action='store_true',
help="Plot histogram of residuals")
parser.add_argument('-file',
'--filename',
type=str,
help="Obtain data from an external source (filename). "
"Format should be specified with -format.")
parser.add_argument(
'-format',
'--format',
nargs='+',
type=str,
help=
"To be used together with --filename. Specify order of the fields as found in the input "
"file. Format strings are gpsWeek, gpsWeekDay, year, doy, fyear, month, day, mjd, "
"x, y, z, na. Use 'na' to specify a field that should be ignored. If fields to be ignored "
"are at the end of the line, then there is no need to specify those.")
parser.add_argument('-outliers',
'--plot_outliers',
action='store_true',
help="Plot an additional panel with the outliers")
parser.add_argument('-vel',
'--velocity',
action='store_true',
help="During query, output the velocity in XYZ.")
parser.add_argument('-seasonal',
'--seasonal_terms',
action='store_true',
help="During query, output the seasonal terms in NEU.")
parser.add_argument('-quiet',
'--suppress_messages',
action='store_true',
help="Quiet mode: suppress information messages")
args = parser.parse_args()
cnn = dbConnection.Cnn('gnss_data.cfg')
stnlist = process_stnlist(cnn, args.stnlist)
# define the language
pyETM.LANG = args.language.lower()
# set the logging level
if not args.suppress_messages:
pyETM.logger.setLevel(pyETM.INFO)
#####################################
# date filter
dates = None
if args.time_window is not None:
if len(args.time_window) == 1:
try:
dates = process_date(args.time_window,
missing_input=None,
allow_days=False)
dates = (dates[0].fyear, )
except ValueError:
# an integer value
dates = float(args.time_window[0])
else:
dates = process_date(args.time_window)
dates = (dates[0].fyear, dates[1].fyear)
if stnlist:
# do the thing
if args.directory:
if not os.path.exists(args.directory):
os.mkdir(args.directory)
else:
if not os.path.exists('production'):
os.mkdir('production')
args.directory = 'production'
for stn in stnlist:
try:
if args.gamit is None and args.filename is None:
etm = pyETM.PPPETM(cnn, stn['NetworkCode'],
stn['StationCode'], False,
args.no_model)
elif args.filename is not None:
etm = from_file(args, cnn, stn)
else:
polyhedrons = cnn.query_float(
'SELECT "X", "Y", "Z", "Year", "DOY" FROM stacks '
'WHERE "name" = \'%s\' AND "NetworkCode" = \'%s\' AND '
'"StationCode" = \'%s\' '
'ORDER BY "Year", "DOY", "NetworkCode", "StationCode"'
% (args.gamit[0], stn['NetworkCode'],
stn['StationCode']))
soln = pyETM.GamitSoln(cnn, polyhedrons,
stn['NetworkCode'],
stn['StationCode'], args.gamit[0])
etm = pyETM.GamitETM(cnn,
stn['NetworkCode'],
stn['StationCode'],
False,
args.no_model,
gamit_soln=soln)
# print ' > %5.2f %5.2f %5.2f %i %i' % \
# (etm.factor[0]*1000, etm.factor[1]*1000, etm.factor[2]*1000, etm.soln.t.shape[0],
# etm.soln.t.shape[0] -
# np.sum(np.logical_and(np.logical_and(etm.F[0], etm.F[1]), etm.F[2])))
# print two largest outliers
if etm.A is not None:
lres = np.sqrt(np.sum(np.square(etm.R), axis=0))
slres = lres[np.argsort(-lres)]
print(' >> Two largest residuals:')
for i in [0, 1]:
print(' %s %6.3f %6.3f %6.3f' %
(pyDate.Date(mjd=etm.soln.mjd[
lres == slres[i]]).yyyyddd(),
etm.R[0, lres == slres[i]],
etm.R[1, lres == slres[i]],
etm.R[2, lres == slres[i]]))
if args.interactive:
xfile = None
else:
postfix = "gamit"
if args.gamit is None:
postfix = "ppp" if args.filename is None else "file"
xfile = os.path.join(
args.directory, '%s.%s_%s' %
(etm.NetworkCode, etm.StationCode, postfix))
# leave pngfile empty to enter interactive mode (GUI)
if not args.no_plots:
etm.plot(xfile + '.png',
t_win=dates,
residuals=args.residuals,
plot_missing=not args.no_missing_data,
plot_outliers=args.plot_outliers)
if args.histogram:
etm.plot_hist(xfile + '_hist.png')
if args.json is not None:
if args.json == 1:
obj = etm.todictionary(time_series=True)
elif args.json == 2:
obj = etm.todictionary(time_series=True, model=True)
else:
obj = etm.todictionary(False)
file_write(xfile + '.json',
json.dumps(obj, indent=4, sort_keys=False))
if args.query is not None:
model = (args.query[0] == 'model')
q_date = pyDate.Date(fyear=float(args.query[1]))
xyz, _, _, txt = etm.get_xyz_s(q_date.year,
q_date.doy,
force_model=model)
strp = ''
# if user requests velocity too, output it
if args.velocity:
if etm.A is not None:
vxyz = etm.rotate_2xyz(etm.Linear.p.params[:, 1])
strp = '%8.5f %8.5f %8.5f ' \
% (vxyz[0, 0], vxyz[1, 0], vxyz[2, 0])
# also output seasonal terms, if requested
if args.seasonal_terms and etm.Periodic.frequency_count > 0:
strp += ' '.join([
'%8.5f' % (x * 1000)
for x in etm.Periodic.p.params.flatten().tolist()
])
print(' %s.%s %14.5f %14.5f %14.5f %8.3f %s -> %s' \
% (etm.NetworkCode, etm.StationCode, xyz[0], xyz[1], xyz[2], q_date.fyear, strp, txt))
print('Successfully plotted ' + stn['NetworkCode'] + '.' +
stn['StationCode'])
except pyETM.pyETMException as e:
print(str(e))
except Exception:
print('Error during processing of ' + stn['NetworkCode'] +
'.' + stn['StationCode'])
print(traceback.format_exc())
