def startup():
"""
Parse command line arguments and call the :func:`main` function.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c',
'--config_file',
help='Path to configuration file')
parser.add_argument('-v',
'--verbose',
help='Verbose output',
action='store_true')
parser.add_argument('-d',
'--debug',
help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
configFile = args.config_file
config = ConfigParser()
config.read(configFile)
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'processMultipliers.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
debug = False
if args.verbose:
verbose = True
if args.debug:
debug = True
flStartLog(logfile, logLevel, verbose, datestamp)
if debug:
main(configFile)
else:
try:
modified_main(configFile)
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
def startup():
"""
Parse command line arguments and call the :func:`main` function.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config_file',
help='Path to configuration file')
parser.add_argument('-v', '--verbose', help='Verbose output',
action='store_true')
parser.add_argument('-d', '--debug', help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
config_file = args.config_file
config = ConfigParser()
config.read(config_file)
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tsmultipliers.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
debug = False
if args.verbose:
verbose = True
if args.debug:
debug = True
flStartLog(logfile, logLevel, verbose, datestamp)
if debug:
process_timeseries(config_file)
else:
try:
process_timeseries(config_file)
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
log.info("Completed {0}".format(sys.argv[0]))
def __init__(self, configFile):
config = ConfigParser()
config.read(configFile)
self.outputPath = config.get('Output', 'Path')
self.windfieldPath = pjoin(self.outputPath, 'windfield')
self.trackPath = pjoin(self.outputPath, 'tracks')
self.hazardPath = pjoin(self.outputPath, 'hazard')
self.domain = config.geteval('Region', 'gridLimit')
self.hazardDB = pjoin(self.outputPath, 'hazard.db')
self.locationDB = pjoin(self.outputPath, 'locations.db')
self.datfile = config.get('Process', 'DatFile')
self.excludePastProcessed = config.getboolean('Process',
'ExcludePastProcessed')
pGetProcessedFiles(self.datfile)
sqlite3.Connection.__init__(self,
self.hazardDB,
detect_types=PARSE_DECLTYPES
| PARSE_COLNAMES)
self.exists = True
import atexit
atexit.register(self.close)
def startup():
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config_file',
help='Path to configuration file')
parser.add_argument('-v', '--verbose', help='Verbose output',
action='store_true')
parser.add_argument('-d', '--debug', help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
configFile = args.config_file
config = ConfigParser()
config.read(configFile)
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
logfile = config.get('Logging','LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tcrm.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
debug = False
if args.verbose:
verbose = True
if args.debug:
debug = True
flStartLog(logfile, logLevel, verbose)
# Switch off minor warning messages
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning, module="pytz")
warnings.filterwarnings("ignore", category=UserWarning, module="numpy")
warnings.filterwarnings("ignore", category=UserWarning,
module="matplotlib")
warnings.filterwarnings("ignore", category=RuntimeWarning)
if debug:
main(configFile)
else:
try:
main(configFile)
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
def run(configFile, callback=None):
"""
Run the hazard calculations.
This will attempt to run the calculation in parallel by tiling the
domain, but also provides a sane fallback mechanism to execute
in serial.
:param str configFile: path to configuration file
"""
log.info("Loading hazard calculation settings")
config = ConfigParser()
config.read(configFile)
outputPath = config.get('Output', 'Path')
inputPath = pjoin(outputPath, 'windfield')
gridLimit = config.geteval('Region', 'gridLimit')
numsimulations = config.getint('TrackGenerator', 'NumSimulations')
yrsPerSim = config.getint('TrackGenerator', 'YearsPerSimulation')
minRecords = config.getint('Hazard', 'MinimumRecords')
calculate_confidence = config.getboolean('Hazard', 'CalculateCI')
extreme_value_distribution = config.get('Hazard', 'ExtremeValueDistribution')
wf_lon, wf_lat = setDomain(inputPath)
global MPI, comm
MPI = attemptParallel()
comm = MPI.COMM_WORLD
log.info("Running hazard calculations")
TG = TileGrid(gridLimit, wf_lon, wf_lat)
tiles = getTiles(TG)
#def progress(i):
# callback(i, len(tiles))
comm.barrier()
hc = HazardCalculator(configFile, TG,
numsimulations,
minRecords,
yrsPerSim,
calculate_confidence,
extreme_value_distribution
)
hc.dumpHazardFromTiles(tiles)
log.debug("Finished hazard calculations")
comm.barrier()
hc.saveHazard()
log.info("Completed hazard calculation")
def run(configFile, callback=None):
"""
Run the hazard calculations.
This will attempt to run the calculation in parallel by tiling the
domain, but also provides a sane fallback mechanism to execute
in serial.
:param configFile: str
"""
log.info("Loading hazard calculation settings")
config = ConfigParser()
config.read(configFile)
outputPath = config.get('Output', 'Path')
inputPath = pjoin(outputPath, 'windfield')
gridLimit = config.geteval('Region', 'gridLimit')
numsimulations = config.getint('TrackGenerator', 'NumSimulations')
yrsPerSim = config.getint('TrackGenerator', 'YearsPerSimulation')
minRecords = config.getint('Hazard', 'MinimumRecords')
calculate_confidence = config.getboolean('Hazard', 'CalculateCI')
wf_lon, wf_lat = setDomain(inputPath)
global pp
pp = attemptParallel()
log.info("Running hazard calculations")
TG = TileGrid(gridLimit, wf_lon, wf_lat)
tiles = getTiles(TG)
#def progress(i):
# callback(i, len(tiles))
pp.barrier()
hc = HazardCalculator(configFile, TG,
numsimulations,
minRecords,
yrsPerSim,
calculate_confidence)
hc.dumpHazardFromTiles(tiles)
pp.barrier()
hc.saveHazard()
log.info("Completed hazard calculation")
def main(configFile):
"""
Main function to execute the :mod:`wind`.
:param str configFile: Path to configuration file.
"""
config = ConfigParser()
config.read(configFile)
doOutputDirectoryCreation(configFile)
trackFile = config.get('DataProcess', 'InputFile')
source = config.get('DataProcess', 'Source')
delta = 1/12.
outputPath = pjoin(config.get('Output','Path'), 'tracks')
outputTrackFile = pjoin(outputPath, "tracks.interp.nc")
# This will save interpolated track data in TCRM format:
interpTrack = interpolateTracks.parseTracks(configFile, trackFile,
source, delta,
outputTrackFile,
interpolation_type='akima')
showProgressBar = config.get('Logging', 'ProgressBar')
pbar = ProgressBar('Calculating wind fields: ', showProgressBar)
def status(done, total):
pbar.update(float(done)/total)
import wind
wind.run(configFile, status)
import impact
impact.run_optional(config)
if config.getboolean('WindfieldInterface', 'PlotOutput'):
doWindfieldPlotting(configFile)
if config.getboolean('Timeseries', 'Extract'):
doTimeseriesPlotting(configFile)
def doStatistics(configFile):
"""
Calibrate the model with the :mod:`StatInterface` module.
:param str configFile: Name of configuration file.
"""
from DataProcess.CalcTrackDomain import CalcTrackDomain
config = ConfigParser()
config.read(configFile)
showProgressBar = config.get('Logging', 'ProgressBar')
getRMWDistFromInputData = config.getboolean('RMW',
'GetRMWDistFromInputData')
log.info('Running StatInterface')
pbar = ProgressBar('Calibrating model: ', showProgressBar)
# Auto-calculate track generator domain
CalcTD = CalcTrackDomain(configFile)
domain = CalcTD.calcDomainFromFile()
pbar.update(0.05)
from StatInterface import StatInterface
statInterface = StatInterface.StatInterface(configFile,
autoCalc_gridLimit=domain)
statInterface.kdeGenesisDate()
pbar.update(0.4)
statInterface.kdeOrigin()
pbar.update(0.5)
statInterface.cdfCellBearing()
pbar.update(0.6)
statInterface.cdfCellSpeed()
pbar.update(0.7)
statInterface.cdfCellPressure()
pbar.update(0.8)
statInterface.calcCellStatistics()
if getRMWDistFromInputData:
statInterface.cdfCellSize()
pbar.update(1.0)
log.info('Completed StatInterface')
def __init__(self, configFile, progressbar=None):
config = ConfigParser()
config.read(configFile)
outputPath = config.get('Output', 'Path')
try:
self.localityID = config.get('Region', 'LocalityID')
except Exception:
self.localityID = -999999
self.inputFile = pjoin(outputPath, 'hazard', 'hazard.nc')
self.plotPath = pjoin(outputPath, 'plots', 'hazard')
self.plotUnits = PlotUnits(config.get('Hazard', 'PlotSpeedUnits'))
self.ciBounds = config.getboolean('Hazard', 'CalculateCI')
self.fit = config.get('Hazard', 'ExtremeValueDistribution')
self.numsimulations = config.getint("TrackGenerator", "NumSimulations")
self.smooth = config.getboolean("Hazard", "SmoothPlots")
self.progressbar = progressbar
self.db = database.HazardDatabase(configFile)
def doStatistics(configFile):
"""
Calibrate the model.
:param str configFile: Name of configuration file.
"""
from DataProcess.CalcTrackDomain import CalcTrackDomain
config = ConfigParser()
config.read(configFile)
showProgressBar = config.get('Logging', 'ProgressBar')
getRMWDistFromInputData = config.getboolean('RMW',
'GetRMWDistFromInputData')
log.info('Running StatInterface')
pbar = ProgressBar('Calibrating model: ', showProgressBar)
# Auto-calculate track generator domain
CalcTD = CalcTrackDomain(configFile)
domain = CalcTD.calcDomainFromFile()
pbar.update(0.05)
from StatInterface import StatInterface
statInterface = StatInterface.StatInterface(configFile,
autoCalc_gridLimit=domain)
statInterface.kdeGenesisDate()
pbar.update(0.4)
statInterface.kdeOrigin()
pbar.update(0.5)
statInterface.cdfCellBearing()
pbar.update(0.6)
statInterface.cdfCellSpeed()
pbar.update(0.7)
statInterface.cdfCellPressure()
pbar.update(0.8)
statInterface.calcCellStatistics()
if getRMWDistFromInputData:
statInterface.cdfCellSize()
pbar.update(1.0)
log.info('Completed StatInterface')
def loadTrackFile(configFile, trackFile, source, missingValue=0,
calculateWindSpeed=True):
"""
Load TC track data from the given input file, from a specified source.
The configFile is a configuration file that contains a section called
'source' that describes the data.
This returns a collection of :class:`Track` objects that contains
the details of the TC tracks in the input file.
:param str configFile: Configuration file with a section ``source``.
:param str trackFile: Path to a csv-formatted file containing TC data.
:pararm str source: Name of the source format of the TC data. There
*must* be a section in ``configFile`` matching
this string, containing the details of the format
of the data.
:param missingValue: Replace all null values in the input data with
this value (default=0).
:param boolean calculateWindSpeed: Calculate maximum wind speed using
a pressure-wind relation described
in :func:`maxWindSpeed`
:returns: A collection of :class:`Track` objects.
If any of the variables are not present in the input
dataset, they are (where possible) calculated
(date/time/windspeed), sampled from default datasets
(e.g. environmental pressure) or set to the missing value.
Example::
>>> tracks = loadTrackFile('tcrm.ini', 'IBTRaCS.csv', 'IBTrACS' )
"""
logger.info("Loading %s" % trackFile)
inputData = colReadCSV(configFile, trackFile, source) #,
#nullValue=missingValue)
config = ConfigParser()
config.read(configFile)
inputSpeedUnits = config.get(source, 'SpeedUnits')
inputPressureUnits = config.get(source, 'PressureUnits')
inputLengthUnits = config.get(source, 'LengthUnits')
inputDateFormat = config.get(source, 'DateFormat')
if config.getboolean('DataProcess', 'FilterSeasons'):
startSeason = config.getint('DataProcess', 'StartSeason')
idx = np.where(inputData['season'] >= startSeason)[0]
inputData = inputData[idx]
# Determine the initial TC positions...
indicator = getInitialPositions(inputData)
# Sort date/time information
if 'age' in inputData.dtype.names:
year, month, day, hour, minute, datetimes = parseAge(inputData, indicator)
timeElapsed = inputData['age']
else:
year, month, day, hour, minute, datetimes = parseDates(inputData, indicator,
inputDateFormat)
timeElapsed = getTimeElapsed(indicator, year, month, day, hour, minute)
# Time between observations:
dt = getTimeDelta(year, month, day, hour, minute)
# Calculate julian days
jdays = julianDays(year, month, day, hour, minute)
lat = np.array(inputData['lat'], 'd')
lon = np.mod(np.array(inputData['lon'], 'd'), 360)
delta_lon = np.diff(lon)
delta_lat = np.diff(lat)
# Split into separate tracks if large jump occurs (delta_lon > 10 degrees
# or delta_lat > 5 degrees)
# This avoids two tracks being accidentally combined when seasons and track
# numbers match but basins are different as occurs in the IBTrACS dataset.
# This problem can also be prevented if the 'tcserialno' column is
# specified.
indicator[np.where(delta_lon > 10)[0] + 1] = 1
indicator[np.where(delta_lat > 5)[0] + 1] = 1
pressure = filterPressure(np.array(inputData['pressure'], 'd'),
inputPressureUnits, missingValue)
try:
windspeed = np.array(inputData['vmax'], 'd')
novalue_index = np.where(windspeed == sys.maxint)
windspeed = metutils.convert(windspeed, inputSpeedUnits, "mps")
windspeed[novalue_index] = missingValue
except (ValueError,KeyError):
logger.debug("No max wind speed data - all values will be zero")
windspeed = np.zeros(indicator.size, 'f')
assert lat.size == indicator.size
assert lon.size == indicator.size
assert pressure.size == indicator.size
try:
rmax = np.array(inputData['rmax'])
novalue_index = np.where(rmax == missingValue)
rmax = metutils.convert(rmax, inputLengthUnits, "km")
rmax[novalue_index] = missingValue
except (ValueError, KeyError):
logger.debug("No radius to max wind data - all values will be zero")
rmax = np.zeros(indicator.size, 'f')
if 'penv' in inputData.dtype.names:
penv = np.array(inputData['penv'], 'd')
else:
logger.debug("No ambient MSLP data in this input file")
logger.debug("Sampling data from MSLP data defined in "
"configuration file")
# Warning: using sampled data will likely lead to some odd behaviour
# near the boundary of the MSLP grid boundaries - higher resolution
# MSLP data will decrease this unusual behaviour.
try:
ncfile = cnfGetIniValue(configFile, 'Input', 'MSLPFile')
except:
logger.exception("No input MSLP file specified in configuration")
raise
time = getTime(year, month, day, hour, minute)
penv = ltmPressure(jdays, time, lon, lat, ncfile)
speed, bearing = getSpeedBearing(indicator, lon, lat, dt,
missingValue=missingValue)
if calculateWindSpeed:
windspeed = maxWindSpeed(indicator, dt, lon, lat, pressure, penv)
TCID = np.cumsum(indicator)
data = np.empty(len(indicator),
dtype={
'names': trackFields,
'formats': trackTypes
} )
for key, value in zip(trackFields, [indicator, TCID, year, month,
day, hour, minute, timeElapsed, datetimes,
lon, lat, speed, bearing,
pressure, windspeed, rmax, penv]):
data[key] = value
tracks = []
n = np.max(TCID)
for i in range(1, n + 1):
track = Track(data[TCID == i])
track.trackId = (i, n)
track.trackfile = trackFile
getMinPressure(track, missingValue)
getMaxWind(track, missingValue)
tracks.append(track)
return tracks
def startup():
"""
Parse command line arguments, set up logging and attempt
to execute the main TCRM functions.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config_file', help='The configuration file')
parser.add_argument('-v', '--verbose', help='Verbose output',
action='store_true')
parser.add_argument('-d', '--debug', help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
configFile = args.config_file
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
config = ConfigParser()
config.read(configFile)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tcrm.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
debug = False
if args.verbose:
verbose = True
if args.debug:
debug = True
global MPI, comm
MPI = attemptParallel()
import atexit
atexit.register(MPI.Finalize)
comm = MPI.COMM_WORLD
if comm.size > 1 and comm.rank > 0:
logfile += '-' + str(comm.rank)
verbose = False # to stop output to console
else:
pass
#codeStatus = status()
#print __doc__ + codeStatus
flStartLog(logfile, logLevel, verbose, datestamp)
# Switch off minor warning messages
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning, module="pytz")
warnings.filterwarnings("ignore", category=UserWarning, module="numpy")
warnings.filterwarnings("ignore", category=UserWarning,
module="matplotlib")
warnings.filterwarnings("ignore", category=RuntimeWarning)
checkModules()
if debug:
main(configFile)
else:
try:
main(configFile)
except ImportError as e:
log.critical("Missing module: {0}".format(e))
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
def main(configFile='main.ini'):
"""
Main interface of TCRM that allows control and interaction with the
5 interfaces: DataProcess, StatInterface, TrackGenerator,
WindfieldInterface and HazardInterface
:param str configFile: Name of file containing configuration settings
for running TCRM
"""
log.info("Starting TCRM")
log.info("Configuration file: %s", configFile)
doOutputDirectoryCreation(configFile)
config = ConfigParser()
config.read(configFile)
comm.barrier()
if config.getboolean('Actions', 'DownloadData'):
doDataDownload(configFile)
comm.barrier()
if config.getboolean('Actions', 'DataProcess'):
doDataProcessing(configFile)
comm.barrier()
if config.getboolean('Actions', 'ExecuteStat'):
doStatistics(configFile)
comm.barrier()
if config.getboolean('Actions', 'ExecuteTrackGenerator'):
doTrackGeneration(configFile)
comm.barrier()
if config.getboolean('Actions', 'ExecuteWindfield'):
doWindfieldCalculations(configFile)
comm.barrier()
if config.getboolean('Actions', 'ExecuteHazard'):
doHazard(configFile)
comm.barrier()
if config.getboolean('Actions', 'PlotData'):
doDataPlotting(configFile)
comm.barrier()
if config.getboolean('Actions', 'CreateDatabase'):
doDatabaseUpdate(configFile)
comm.barrier()
if config.getboolean('Actions', 'ExecuteEvaluate'):
doEvaluation(config)
comm.barrier()
if config.getboolean('Actions', 'PlotHazard'):
doHazardPlotting(configFile)
comm.barrier()
log.info('Completed TCRM')
def __init__(self):
"""
Parse command line arguments and call the :func:`main` function.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c',
'--config_file',
help='Path to configuration file')
parser.add_argument('-v',
'--verbose',
help='Verbose output',
action='store_true')
parser.add_argument('-d',
'--debug',
help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
self.configFile = args.config_file
config = ConfigParser()
config.read(self.configFile)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'processMultipliers.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
if args.verbose:
verbose = True
flStartLog(logfile, logLevel, verbose, datestamp)
# Switch off minor warning messages
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning, module="pytz")
warnings.filterwarnings("ignore", category=UserWarning, module="numpy")
warnings.filterwarnings("ignore",
category=UserWarning,
module="matplotlib")
warnings.filterwarnings("ignore", category=RuntimeWarning)
self.working_dir = config.get('Output', 'Working_dir')
self.gust_file = config.get('Input', 'Gust_file')
tiles = config.get('Input', 'Tiles')
self.tiles = [item.strip() for item in tiles.split(',')]
log.debug('List of tiles to be processed: {0}'.format(self.tiles))
log.info('Multipliers will be written out to %s', self.working_dir)
# Get the multipliers, and process them if need be
self.type_mapping = {
'shielding': 'Ms',
'terrain': 'Mz',
'topographic': 'Mt'
}
self.dirns = ['e', 'n', 'ne', 'nw', 's', 'se', 'sw', 'w']
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
try:
self.main()
except ImportError as e:
log.critical("Missing module: {0}".format(e.strerror))
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
def main(configFile='main.ini'):
"""
Main interface of TCRM that allows control and interaction with the
5 interfaces: DataProcess, StatInterface, TrackGenerator,
WindfieldInterface and HazardInterface
:param str configFile: Name of file containing configuration settings for running TCRM
"""
log.info("Starting TCRM")
log.info("Configuration file: %s", configFile)
doOutputDirectoryCreation(configFile)
config = ConfigParser()
config.read(configFile)
pp.barrier()
if config.getboolean('Actions', 'DownloadData'):
doDataDownload(configFile)
pp.barrier()
if config.getboolean('Actions', 'DataProcess'):
doDataProcessing(configFile)
pp.barrier()
if config.getboolean('Actions', 'ExecuteStat'):
doStatistics(configFile)
pp.barrier()
if config.getboolean('Actions', 'ExecuteTrackGenerator'):
doTrackGeneration(configFile)
pp.barrier()
if config.getboolean('Actions', 'ExecuteWindfield'):
doWindfieldCalculations(configFile)
pp.barrier()
if config.getboolean('Actions', 'ExecuteHazard'):
doHazard(configFile)
pp.barrier()
if config.getboolean('Actions', 'PlotData'):
doDataPlotting(configFile)
pp.barrier()
if config.getboolean('Actions', 'PlotHazard'):
doHazardPlotting(configFile)
pp.barrier()
if config.getboolean('Actions', 'ExecuteEvaluate'):
doEvaluation(config)
pp.barrier()
log.info('Completed TCRM')
def run(configFile, callback=None):
"""
Run the wind field calculations.
:param str configFile: path to a configuration file.
:param func callback: optional callback function to track progress.
"""
log.info('Loading wind field calculation settings')
# Get configuration
config = ConfigParser()
config.read(configFile)
profileType = config.get('WindfieldInterface', 'profileType')
windFieldType = config.get('WindfieldInterface', 'windFieldType')
beta = config.getfloat('WindfieldInterface', 'beta')
beta1 = config.getfloat('WindfieldInterface', 'beta1')
beta2 = config.getfloat('WindfieldInterface', 'beta2')
thetaMax = config.getfloat('WindfieldInterface', 'thetaMax')
margin = config.getfloat('WindfieldInterface', 'Margin')
resolution = config.getfloat('WindfieldInterface', 'Resolution')
domain = config.get('WindfieldInterface', 'Domain')
outputPath = config.get('Output', 'Path')
windfieldPath = pjoin(outputPath, 'windfield')
trackPath = pjoin(outputPath, 'tracks')
gridLimit = None
if config.has_option('Region', 'gridLimit'):
gridLimit = config.geteval('Region', 'gridLimit')
if config.has_option('WindfieldInterface', 'gridLimit'):
gridLimit = config.geteval('WindfieldInterface', 'gridLimit')
if config.getboolean('Timeseries', 'Extract', fallback=False):
from Utilities.timeseries import Timeseries
ts = Timeseries(configFile)
timestepCallback = ts.extract
else:
timestepCallback = None
multipliers = None
if config.has_option('Input', 'Multipliers'):
multipliers = config.get('Input', 'Multipliers')
thetaMax = math.radians(thetaMax)
# Attempt to start the track generator in parallel
global MPI
MPI = attemptParallel()
comm = MPI.COMM_WORLD
log.info('Running windfield generator')
wfg = WindfieldGenerator(config=config,
margin=margin,
resolution=resolution,
profileType=profileType,
windFieldType=windFieldType,
beta=beta,
beta1=beta1,
beta2=beta2,
thetaMax=thetaMax,
gridLimit=gridLimit,
domain=domain,
multipliers=multipliers,
windfieldPath=windfieldPath)
log.info(f'Dumping gusts to {windfieldPath}')
# Get the trackfile names and count
files = os.listdir(trackPath)
trackfiles = [pjoin(trackPath, f) for f in files if f.startswith('tracks')]
nfiles = len(trackfiles)
log.info('Processing {0} track files in {1}'.format(nfiles, trackPath))
# Do the work
comm.barrier()
wfg.dumpGustsFromTrackfiles(trackfiles, windfieldPath, timestepCallback)
try:
ts.shutdown()
except NameError:
pass
comm.barrier()
log.info('Completed windfield generator')
def startup():
"""
Parse command line arguments, set up logging and attempt
to execute the main TCRM functions.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c', '--config_file', help='The configuration file')
parser.add_argument('-v', '--verbose', help='Verbose output',
action='store_true')
parser.add_argument('-d', '--debug', help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
configFile = args.config_file
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
config = ConfigParser()
config.read(configFile)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tcrm.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
debug = False
if args.verbose:
verbose = True
#if not verbose:
# logLevel = 'ERROR'
# verbose = True
if args.debug:
debug = True
global pp
pp = attemptParallel()
import atexit
atexit.register(pp.finalize)
if pp.size() > 1 and pp.rank() > 0:
logfile += '-' + str(pp.rank())
verbose = False # to stop output to console
else:
pass
#codeStatus = status()
#print __doc__ + codeStatus
flStartLog(logfile, logLevel, verbose, datestamp)
# Switch off minor warning messages
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning, module="pytz")
warnings.filterwarnings("ignore", category=UserWarning, module="numpy")
warnings.filterwarnings("ignore", category=UserWarning,
module="matplotlib")
warnings.filterwarnings("ignore", category=RuntimeWarning)
if debug:
main(configFile)
else:
try:
main(configFile)
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
def run(configFile, callback=None):
"""
Run the wind field calculations.
:param str configFile: path to a configuration file.
:param func callback: optional callback function to track progress.
"""
log.info('Loading wind field calculation settings')
# Get configuration
config = ConfigParser()
config.read(configFile)
profileType = config.get('WindfieldInterface', 'profileType')
windFieldType = config.get('WindfieldInterface', 'windFieldType')
beta = config.getfloat('WindfieldInterface', 'beta')
beta1 = config.getfloat('WindfieldInterface', 'beta1')
beta2 = config.getfloat('WindfieldInterface', 'beta2')
thetaMax = config.getfloat('WindfieldInterface', 'thetaMax')
margin = config.getfloat('WindfieldInterface', 'Margin')
resolution = config.getfloat('WindfieldInterface', 'Resolution')
domain = config.get('WindfieldInterface', 'Domain')
outputPath = config.get('Output', 'Path')
windfieldPath = pjoin(outputPath, 'windfield')
trackPath = pjoin(outputPath, 'tracks')
gridLimit = None
if config.has_option('Region', 'gridLimit'):
gridLimit = config.geteval('Region', 'gridLimit')
if config.has_option('WindfieldInterface', 'gridLimit'):
gridLimit = config.geteval('WindfieldInterface', 'gridLimit')
if config.has_section('Timeseries'):
if config.has_option('Timeseries', 'Extract'):
if config.getboolean('Timeseries', 'Extract'):
from Utilities.timeseries import Timeseries
log.debug("Timeseries data will be extracted")
ts = Timeseries(configFile)
timestepCallback = ts.extract
else:
def timestepCallback(*args):
"""Dummy timestepCallback function"""
pass
else:
def timestepCallback(*args):
"""Dummy timestepCallback function"""
pass
thetaMax = math.radians(thetaMax)
# Attempt to start the track generator in parallel
global pp
pp = attemptParallel()
log.info('Running windfield generator')
wfg = WindfieldGenerator(config=config,
margin=margin,
resolution=resolution,
profileType=profileType,
windFieldType=windFieldType,
beta=beta,
beta1=beta1,
beta2=beta2,
thetaMax=thetaMax,
gridLimit=gridLimit,
domain=domain)
msg = 'Dumping gusts to %s' % windfieldPath
log.info(msg)
# Get the trackfile names and count
files = os.listdir(trackPath)
trackfiles = [pjoin(trackPath, f) for f in files if f.startswith('tracks')]
nfiles = len(trackfiles)
def progressCallback(i):
"""Define the callback function"""
callback(i, nfiles)
msg = 'Processing %d track files in %s' % (nfiles, trackPath)
log.info(msg)
# Do the work
pp.barrier()
wfg.dumpGustsFromTrackfiles(trackfiles, windfieldPath, timestepCallback)
try:
ts.shutdown()
except NameError:
pass
pp.barrier()
log.info('Completed windfield generator')
config_file = args.config_file
config = ConfigParser()
config.read(config_file)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tracks2shp.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
if args.verbose:
verbose = True
flStartLog(logfile, logLevel, verbose, datestamp)
if args.file:
track_file = args.file
else:
track_file = config.get('DataProcess', 'InputFile')
if args.source:
source = args.source
else:
def run(configFile, callback=None):
"""
Run the wind field calculations.
:param str configFile: path to a configuration file.
:param func callback: optional callback function to track progress.
"""
log.info('Loading wind field calculation settings')
# Get configuration
config = ConfigParser()
config.read(configFile)
outputPath = config.get('Output', 'Path')
profileType = config.get('WindfieldInterface', 'profileType')
windFieldType = config.get('WindfieldInterface', 'windFieldType')
beta = config.getfloat('WindfieldInterface', 'beta')
beta1 = config.getfloat('WindfieldInterface', 'beta1')
beta2 = config.getfloat('WindfieldInterface', 'beta2')
thetaMax = config.getfloat('WindfieldInterface', 'thetaMax')
margin = config.getfloat('WindfieldInterface', 'Margin')
resolution = config.getfloat('WindfieldInterface', 'Resolution')
domain = config.get('WindfieldInterface', 'Domain')
windfieldPath = pjoin(outputPath, 'windfield')
trackPath = pjoin(outputPath, 'tracks')
windfieldFormat = 'gust-%i-%04d.nc'
gridLimit = None
if config.has_option('Region','gridLimit'):
gridLimit = config.geteval('Region', 'gridLimit')
if config.has_option('WindfieldInterface', 'gridLimit'):
gridLimit = config.geteval('WindfieldInterface', 'gridLimit')
if config.has_section('Timeseries'):
if config.has_option('Timeseries', 'Extract'):
if config.getboolean('Timeseries', 'Extract'):
from Utilities.timeseries import Timeseries
log.debug("Timeseries data will be extracted")
ts = Timeseries(configFile)
timestepCallback = ts.extract
else:
def timestepCallback(*args):
"""Dummy timestepCallback function"""
pass
thetaMax = math.radians(thetaMax)
# Attempt to start the track generator in parallel
global pp
pp = attemptParallel()
log.info('Running windfield generator')
wfg = WindfieldGenerator(config=config,
margin=margin,
resolution=resolution,
profileType=profileType,
windFieldType=windFieldType,
beta=beta,
beta1=beta1,
beta2=beta2,
thetaMax=thetaMax,
gridLimit=gridLimit,
domain=domain)
msg = 'Dumping gusts to %s' % windfieldPath
log.info(msg)
# Get the trackfile names and count
files = os.listdir(trackPath)
trackfiles = [pjoin(trackPath, f) for f in files if f.startswith('tracks')]
nfiles = len(trackfiles)
def progressCallback(i):
"""Define the callback function"""
callback(i, nfiles)
msg = 'Processing %d track files in %s' % (nfiles, trackPath)
log.info(msg)
# Do the work
pp.barrier()
wfg.dumpGustsFromTrackfiles(trackfiles, windfieldPath, windfieldFormat,
progressCallback, timestepCallback)
try:
ts.shutdown()
except NameError:
pass
pp.barrier()
log.info('Completed windfield generator')
def startup():
"""
Parse the command line arguments and call the :func:`main`
function.
"""
parser = argparse.ArgumentParser()
parser.add_argument('-c',
'--config_file',
help='Path to configuration file')
parser.add_argument('-v',
'--verbose',
help='Verbose output',
action='store_true')
parser.add_argument('-d',
'--debug',
help='Allow pdb traces',
action='store_true')
args = parser.parse_args()
configFile = args.config_file
config = ConfigParser()
config.read(configFile)
rootdir = pathLocator.getRootDirectory()
os.chdir(rootdir)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tcrm.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
debug = False
if args.verbose:
verbose = True
if args.debug:
debug = True
flStartLog(logfile, logLevel, verbose, datestamp)
# Switch off minor warning messages
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
warnings.filterwarnings("ignore", category=UserWarning, module="pytz")
warnings.filterwarnings("ignore", category=UserWarning, module="numpy")
warnings.filterwarnings("ignore",
category=UserWarning,
module="matplotlib")
warnings.filterwarnings("ignore", category=RuntimeWarning)
if debug:
main(configFile)
else:
try:
main(configFile)
except ImportError as e:
log.critical("Missing module: {0}".format(e.strerror))
except Exception: # pylint: disable=W0703
# Catch any exceptions that occur and log them (nicely):
tblines = traceback.format_exc().splitlines()
for line in tblines:
log.critical(line.lstrip())
config_file = args.config_file
config = ConfigParser()
config.read(config_file)
logfile = config.get('Logging', 'LogFile')
logdir = dirname(realpath(logfile))
# If log file directory does not exist, create it
if not isdir(logdir):
try:
os.makedirs(logdir)
except OSError:
logfile = pjoin(os.getcwd(), 'tracks2shp.log')
logLevel = config.get('Logging', 'LogLevel')
verbose = config.getboolean('Logging', 'Verbose')
datestamp = config.getboolean('Logging', 'Datestamp')
if args.verbose:
verbose = True
flStartLog(logfile, logLevel, verbose, datestamp)
if args.file:
track_file = args.file
else:
track_file = config.get('DataProcess', 'InputFile')
if args.source:
source = args.source
else:
def loadTrackFile(configFile,
trackFile,
source,
missingValue=0,
calculateWindSpeed=True):
"""
Load TC track data from the given input file, from a specified source.
The configFile is a configuration file that contains a section called
'source' that describes the data.
This returns a collection of :class:`Track` objects that contains
the details of the TC tracks in the input file.
:param str configFile: Configuration file with a section ``source``.
:param str trackFile: Path to a csv-formatted file containing TC data.
:pararm str source: Name of the source format of the TC data. There
*must* be a section in ``configFile`` matching
this string, containing the details of the format
of the data.
:param missingValue: Replace all null values in the input data with
this value (default=0).
:param boolean calculateWindSpeed: Calculate maximum wind speed using
a pressure-wind relation described
in :func:`maxWindSpeed`
:returns: A collection of :class:`Track` objects.
If any of the variables are not present in the input
dataset, they are (where possible) calculated
(date/time/windspeed), sampled from default datasets
(e.g. environmental pressure) or set to the missing value.
Example::
>>> tracks = loadTrackFile('tcrm.ini', 'IBTRaCS.csv', 'IBTrACS' )
"""
LOG.info("Loading %s" % trackFile)
inputData = colReadCSV(configFile, trackFile, source) #,
#nullValue=missingValue)
config = ConfigParser()
config.read(configFile)
inputSpeedUnits = config.get(source, 'SpeedUnits')
inputPressureUnits = config.get(source, 'PressureUnits')
inputLengthUnits = config.get(source, 'LengthUnits')
inputDateFormat = config.get(source, 'DateFormat')
if config.getboolean('DataProcess', 'FilterSeasons'):
startSeason = config.getint('DataProcess', 'StartSeason')
idx = np.where(inputData['season'] >= startSeason)[0]
inputData = inputData[idx]
# Determine the initial TC positions...
indicator = getInitialPositions(inputData)
# Sort date/time information
if 'age' in inputData.dtype.names:
year, month, day, hour, minute, datetimes = parseAge(
inputData, indicator)
timeElapsed = inputData['age']
else:
year, month, day, hour, minute, datetimes = parseDates(
inputData, indicator, inputDateFormat)
timeElapsed = getTimeElapsed(indicator, year, month, day, hour, minute)
# Time between observations:
dt = getTimeDelta(year, month, day, hour, minute)
# Calculate julian days
jdays = julianDays(year, month, day, hour, minute)
lat = np.array(inputData['lat'], 'd')
lon = np.mod(np.array(inputData['lon'], 'd'), 360)
delta_lon = np.diff(lon)
delta_lat = np.diff(lat)
# Split into separate tracks if large jump occurs (delta_lon > 10 degrees
# or delta_lat > 5 degrees)
# This avoids two tracks being accidentally combined when seasons and track
# numbers match but basins are different as occurs in the IBTrACS dataset.
# This problem can also be prevented if the 'tcserialno' column is
# specified.
indicator[np.where(delta_lon > 10)[0] + 1] = 1
indicator[np.where(delta_lat > 5)[0] + 1] = 1
pressure = filterPressure(np.array(inputData['pressure'], 'd'),
inputPressureUnits, missingValue)
try:
windspeed = np.array(inputData['vmax'], 'd')
novalue_index = np.where(windspeed == sys.maxint)
windspeed = metutils.convert(windspeed, inputSpeedUnits, "mps")
windspeed[novalue_index] = missingValue
except (ValueError, KeyError):
LOG.debug("No max wind speed data - all values will be zero")
windspeed = np.zeros(indicator.size, 'f')
assert lat.size == indicator.size
assert lon.size == indicator.size
assert pressure.size == indicator.size
try:
rmax = np.array(inputData['rmax'])
novalue_index = np.where(rmax == missingValue)
rmax = metutils.convert(rmax, inputLengthUnits, "km")
rmax[novalue_index] = missingValue
except (ValueError, KeyError):
LOG.debug("No radius to max wind data - all values will be zero")
rmax = np.zeros(indicator.size, 'f')
if 'penv' in inputData.dtype.names:
penv = np.array(inputData['penv'], 'd')
else:
LOG.debug("No ambient MSLP data in this input file")
LOG.debug("Sampling data from MSLP data defined in "
"configuration file")
# Warning: using sampled data will likely lead to some odd behaviour
# near the boundary of the MSLP grid boundaries - higher resolution
# MSLP data will decrease this unusual behaviour.
try:
ncfile = cnfGetIniValue(configFile, 'Input', 'MSLPFile')
except:
LOG.exception("No input MSLP file specified in configuration")
raise
time = getTime(year, month, day, hour, minute)
penv = ltmPressure(jdays, time, lon, lat, ncfile)
if 'poci' in inputData.dtype.names:
poci = np.array(inputData['poci'], 'd')
else:
LOG.debug("Determining poci")
eps = np.random.normal(0, scale=2.5717)
poci = getPoci(penv, pressure, lat, jdays, eps)
speed, bearing = getSpeedBearing(indicator,
lon,
lat,
dt,
missingValue=missingValue)
if calculateWindSpeed:
windspeed = maxWindSpeed(indicator, dt, lon, lat, pressure, poci)
TCID = np.cumsum(indicator)
data = np.empty(len(indicator),
dtype={
'names': trackFields,
'formats': trackTypes
})
for key, value in zip(trackFields, [
indicator, TCID, year, month, day, hour, minute, timeElapsed,
datetimes, lon, lat, speed, bearing, pressure, windspeed, rmax,
poci
]):
data[key] = value
tracks = []
n = np.max(TCID)
for i in range(1, n + 1):
track = Track(data[TCID == i])
track.trackId = (i, n)
track.trackfile = trackFile
getMinPressure(track, missingValue)
getMaxWind(track, missingValue)
tracks.append(track)
return tracks
