def writeAtiMelt(selectedList, dList, aList, mList):
# print '\n#----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------#'
# print '#Begin Creating ATI and Melt-CUM DSS paths'
# print '#----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------#'
for ab, d, a, m in zip(selectedList, dList, aList, mList):
aPart = ab.split("/")[1]
b = ab.split("/")[2]
# print 'aPart: ', aPart
# ATI-MELT DSS path Created
tsATI = TimeSeriesContainer()
tsATI.watershed = aPart
tsATI.location = b
tsATI.parameter = 'ATI'
# F-part will be 'CALC'
tsATI.version = 'CALC'
# Interval is hard coded as 1Day = 1440 minutes.
tsATI.interval = 1440
tsATI.fullName = '/%s/%s/%s//1DAY/%s/' % \
(aPart, b, 'ATI', 'CALC')
tsATI.values = a
times = []
hecTime = HecTime()
for i, v in enumerate(d):
hecTime.set(d[i])
times.append(hecTime.value())
tsATI.times = times
tsATI.startTime = times[0]
tsATI.endTime = times[-1]
tsATI.numberValues = len(a)
tsATI.units = 'DEGF-DAY'
tsATI.type = 'INST-VAL'
dssFile.put(tsATI)
# MELT-CUM DSS path Created
tsMelt = TimeSeriesContainer()
tsMelt.watershed = aPart
tsMelt.location = b
tsMelt.parameter = 'MELT-CUM'
tsMelt.version = 'CALC'
# Interval and FullName are hard coded as 1Day = 1440 minutes.
tsMelt.interval = 1440
tsMelt.fullName = '/%s/%s/%s//1DAY/%s/' % \
(aPart, b, 'MELT-CUM', 'CALC')
tsMelt.values = m
tsMelt.times = times
tsMelt.startTime = times[0]
tsMelt.endTime = times[-1]
tsMelt.numberValues = len(m)
tsMelt.units = 'IN'
tsMelt.type = 'INST-VAL'
dssFile.put(tsMelt)
def _write_dss(input_):
# Create time series container
tsc = TimeSeriesContainer()
# Get data from input file
try:
tsc.fullName = input_['fullname']
tsc.interval = input_['interval']
tsc.units = input_['units']
tsc.type = input_['dsstype']
data = input_['data']
filepath = input_['filepath']
except KeyError:
_logger.exception('Incomplete data on the dss handler input file!')
_logger.error('Exiting.')
exit(1)
_logger.debug('filepath: %s', filepath)
# Get list of times and respective values
times = []
values = []
for k, v in sorted(data.viewitems()):
# t = datetime.strptime(k, '%Y-%m-%d %H:%M:%S')
t = HecTime(k.strftime('%d%b%Y'), k.strftime('%H%M'))
times.append(t.value())
values.append(v)
# Set list of times, values, and size of list
tsc.times = times
tsc.values = values
tsc.numberValues = len(values)
_logger.debug('tsc.times: %s', tsc.times)
_logger.debug('tsc.values: %s', tsc.values)
# Check if dss file already exists
if op.isfile(filepath):
_logger.warning('Deleting old file!')
# Delete existing dss file
try:
os.remove(filepath)
except OSError:
_logger.warning('Warning! Deletion of old file failed.')
# else:
# _logger.warning("File doesn't exist!")
# Write new dss file
dss_file = HecDss.open(filepath)
dss_file.put(tsc)
dss_file.done()
def createTemplateTSC(rawDataList): #Derives a TimeSeriesContainer object from the raw ESP data list # where all that needs to be done is update the pathname # and values - timestamps should be uniform across each # ESP trace #intializing HEC java objects tsc =TimeSeriesContainer() #new TSC object hecStartTime= HecTime() hecEndTime = HecTime() #copmuting HEC times and interval (minutes) of timestep times = [] for i in range(len(rawDataList)): times.append(rawDataList[i][0]) hecStartTime.set(times[0]) hecEndTime.set(times[-1]) #The formatting of these times might need to be adjusted at a later point Dates = [] for x in range(len(times)): IndividualDate = times[x] T = HecTime() T.set(IndividualDate) Dates.append(T.value()) DiffBetweenInterval = [] DiffBetweenInterval = [a - Dates[i-1] for i, a in enumerate(Dates)][1:] for x in DiffBetweenInterval: UniqueList_Minutes = [] #Check if exist in list or not if x not in UniqueList_Minutes: UniqueList_Minutes.append(x) interval =UniqueList_Minutes[0] hecTimes = list(range(Dates[0],Dates[-1],int(interval))) hecTimes.append(Dates[-1]) interval_hours = int(interval)/60 tsc.times = hecTimes tsc.values = [Constants.UNDEFINED]*len(times) #add null data number here. tsc.interval = interval_hours tsc.startTime =(int(hecStartTime.julian())*1440)+1080 tsc.endTime =(int( hecEndTime.julian())*1440)+1080 tsc.numberValues = len(times) tsc.units = "CFS" tsc.type = "PER-AVER" tsc.parameter = "FLOW" #Assuming always want this to be flow return tsc
def createTSrecord(dss_filename, pathname, start_time, values, comp_step,
data_units):
start = HecTime()
tsc = TimeSeriesContainer()
tsc.fullName = pathname
tsc.interval = comp_step
start.set(start_time)
times = []
for value in values:
times.append(start.value())
start.add(tsc.interval)
tsc.values = values
tsc.times = times
tsc.startTime = times[0]
tsc.endTime = times[-1]
tsc.numberValues = len(values)
tsc.units = data_units
tsc.type = "INST-VAL"
dss_file = HecDss.open(dss_filename)
dss_file.put(tsc)
dss_file.done()
def makeTimeSeriesContainer(station, interval, tz, records, decodeInfo):
global timezones
sdf = SimpleDateFormat("ddMMMyyyy, HH:mm")
if dssTimezone:
if not timezones["DSS"]:
timezones["DSS"] = TimeZone.getTimeZone(
tzInfo[dssTimezone]["JAVA"])
sdf.setTimeZone(timezones["DSS"])
else:
sdf.setTimeZone(timezones["USGS"])
dd, decodeInfo = decodeInfo
cal = Calendar.getInstance()
t = HecTime()
tsc = TimeSeriesContainer()
tsc.interval = interval
times = []
values = []
tsc.quality = None
factor = decodeInfo["DSS_FACTOR"]
for j in range(len(records)):
millis, value = records[j]
cal.setTimeInMillis(millis)
t.set(sdf.format(cal.getTime()))
times.append(t.value())
try:
values.append(float(value) * factor)
except:
values.append(Constants.UNDEFINED)
tsc.times = times
tsc.values = values
tsc.startTime = times[0]
tsc.endTime = times[-1]
tsc.numberValues = len(values)
tsc.timeZoneID = sdf.getTimeZone().getID()
tsc.timeZoneRawOffset = sdf.getTimeZone().getRawOffset()
return tsc
def paramPerPage(config, dssFilePath):
"""
Plot timeseries, 1 location per plot, 1 parameter per page.
Also adds specified thresholds.
"""
plotted = 0 # Number of plots exported
messages = []
outputFolder = tbu.relativeFolder(config['output_folder'],
config['config_file'])
minDate = HecTime(config['period']['start'])
maxDate = HecTime(config['period']['end'])
dssFile = HecDss.open(dssFilePath, str(minDate), str(maxDate))
for param, paramConfig in config['params'].iteritems():
plots = []
dataPaths = [
'/{}/{}/{}//{}/{}/'.format(config['site'].upper(),
loc.upper(),
param.upper(),
config['interval'].upper(),
config['version'].upper())
for loc in config['locations']
]
datasets = [dssFile.get(dp) for dp in dataPaths]
datasets = [d for d in datasets if d.numberValues > 0]
if not datasets:
messages.append("No data for parameter '{}'.".format(param))
continue
for dataset in datasets:
plot = Plot.newPlot(param)
layout = Plot.newPlotLayout()
layout.setHasLegend(0)
vp = layout.addViewport()
vp.addCurve('Y1', dataset)
plot.configurePlotLayout(layout)
plots.append(plot)
# Format normal data curves
ymin, ymax = float('+inf'), float('-inf')
for dataset, plot in zip(datasets, plots):
plot.setPlotTitleText("{0.parameter} at {0.location}".format(dataset))
plot.setPlotTitleVisible(1)
plot.setLocation(-10000, -10000)
plot.setSize(config['width'], config['height'])
plot.setLegendLabelText(dataset, dataset.location)
panelProp = plot.getPlotpanel().getProperties()
panelProp.setViewportSpaceSize(0)
curve = plot.getCurve(dataset)
curve.setLineColor('{}, {}, {}'.format(*config['line']['colour']))
curve.setLineWidth(config['line']['width'])
if config['line']['markers']:
curve.setSymbolsVisible(1)
curve.setSymbolType('Circle')
curve.setSymbolLineColor('{}, {}, {}'.format(*config['line']['colour']))
curve.setSymbolFillColor('{}, {}, {}'.format(*config['line']['colour']))
vp = plot.getViewport(dataset.fullName)
vp.setMinorGridXVisible(1)
vp.getAxis('Y1').setLabel(dataset.units)
if _paramScale(param, config) == 'log':
vp.setLogarithmic('Y1') # This throws a warning message if y-values <= 0. We can't catch this as an exception.
# Horizontal lines
thresholds = _get_thresholds(dataset, dssFilePath, config)
for marker in _thresholdMarkers(thresholds):
vp.addAxisMarker(marker)
# Vertical lines
if _baselinePeriod(dataset.location, config):
vp.addAxisMarker(_baselineMarker(dataset.location, config))
ymin = min(ymin, vp.getAxis('Y1').getScaleMin())
ymax = max(ymax, vp.getAxis('Y1').getScaleMax())
for dataset, plot in zip(datasets, plots):
plot.showPlot()
plot.setSize(config['width'], config['height'])
# Set all y-axes same limits
vp = plot.getViewports()[0]
vp.getAxis('Y1').setScaleLimits(ymin, ymax)
vp.getAxis('X1').setScaleLimits(minDate.value(), maxDate.value())
plot.saveToJpeg(os.path.join(outputFolder,
"TH plot-{0.parameter}-{0.version}-{0.location}"
.format(dataset)), 95)
plot.close()
plotted += 1
dssFile.done()
return plotted, messages
def onePerParam(config, dssFilePath):
plotted = 0 # Number of plots exported
messages = []
outputFolder = tbu.relativeFolder(config['output_folder'],
config['config_file'])
minDate = HecTime(config['period']['start'])
maxDate = HecTime(config['period']['end'])
dssFile = HecDss.open(dssFilePath, str(minDate), str(maxDate))
colours = _coloursByLocation(config)
for param, paramConfig in config['params'].iteritems():
plot = Plot.newPlot()
dataPaths = [
"/%s/%s/%s//%s/%s/" % (config['site'].upper(),
location.upper(),
param.upper(),
config['interval'].upper(),
config['version'].upper())
for location in config['locations']
]
datasets = [dssFile.get(p) for p in dataPaths]
datasets = [d for d in datasets if d.numberValues > 0]
if not datasets:
messages.append("No data for parameter '%s'." % param)
continue
map(plot.addData, datasets)
plot.showPlot()
plot.setPlotTitleText(param)
plot.setPlotTitleVisible(1)
plot.setSize(int(config['width']), int(config['height']))
# We can only access labels and curves at this point
map(lambda d: plot.getLegendLabel(d).setText(d.location), datasets)
# Style curves
for dataset in datasets:
curve = plot.getCurve(dataset)
curve.setLineColor('{}, {}, {}'.format(*colours[dataset.location]))
curve.setLineWidth(config['line']['width'])
if config['line']['markers']:
curve.setSymbolsVisible(1)
curve.setSymbolType('Circle')
curve.setSymbolLineColor('{}, {}, {}'
.format(*colours[dataset.location]))
curve.setSymbolFillColor('{}, {}, {}'
.format(*colours[dataset.location]))
# Axes scales
units = set(ds.units for ds in datasets)
for vp_index, unit in enumerate(units): # 1 viewport per distinct unit
viewport = plot.getViewport(vp_index)
viewport.getAxis("X1").setScaleLimits(minDate.value(),
maxDate.value())
viewport.getAxis("Y1").setLabel(unit)
viewport.setMinorGridXVisible(1)
viewport.setMinorGridYVisible(1)
if paramConfig:
if paramConfig['scale'].lower() == 'log':
viewport.setLogarithmic('Y1') # This throws a warning message if y-values <= 0. We can't catch this as an exception.
# Horizontal threshold lines
thresholds = _get_thresholds(datasets[0], dssFilePath, config)
for marker in _thresholdMarkers(thresholds):
viewport.addAxisMarker(marker)
# Export plot
plot.saveToJpeg(os.path.join(outputFolder,
param + "-" + config['version']),
95)
plot.close()
plotted += 1
dssFile.done()
return plotted, messages
num_locations = len(csv_list[0]) - 1
num_values = len(csv_list) - NUM_METADATA_LINES # Ignore Metadata
location_ids = csv_list[1][1:]
for i in range(0, num_locations):
precipitations = []
for j in range(NUM_METADATA_LINES, num_values + NUM_METADATA_LINES):
p = float(csv_list[j][i + 1])
precipitations.append(p)
tsc = TimeSeriesContainer()
# tsc.fullName = "/BASIN/LOC/FLOW//1HOUR/OBS/"
# tsc.fullName = '//' + locationIds[i].upper() + '/PRECIP-INC//1DAY/GAGE/'
tsc.fullName = '//' + location_ids[i].upper(
) + '/PRECIP-INC//1HOUR/GAGE/'
start = HecTime(csv_list[NUM_METADATA_LINES][0])
tsc.interval = 60 # in minutes
times = []
for value in precipitations:
times.append(start.value())
start.add(tsc.interval)
tsc.times = times
tsc.values = precipitations
tsc.numberValues = len(precipitations)
tsc.units = "MM"
tsc.type = "PER-CUM"
converted_dss.put(tsc)
finally:
converted_dss.done()
def makeTimeSeriesContainer(tsData, timeZone, pathname=None):
'''
Construct a TimeSeriesContainer object from a python dictionary that was
created from a single "time-series" returned from the CWMS RADAR web
service
'''
#---------------#
# initial setup #
#---------------#
tsc = None
try:
tz = TimeZone.getTimeZone(timeZone)
sdf8601 = SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ssXXX")
sdfHecTime = SimpleDateFormat("ddMMMyyyy, HH:mm")
cal = Calendar.getInstance()
for obj in sdf8601, sdfHecTime, cal:
obj.setTimeZone(tz)
ht = HecTime()
times, values, qualities = [], [], []
#------------------#
# process the data #
#------------------#
if tsData.has_key("regular-interval-values"):
#----------------------------------------#
# regular time series (a lot to process) #
#----------------------------------------#
rts = tsData["regular-interval-values"]
intvlStr = rts["interval"]
unit = rts["unit"].split()[0]
if intvlStr.startswith("PT"):
intvlNum, intvlUnit = int(intvlStr[2:-1]), intvlStr[-1]
try:
factor, field = {
"M": (1, Calendar.MINUTE),
"H": (60, Calendar.HOUR_OF_DAY)
}[intvlUnit]
except KeyError:
raise Exception("Unexpected interval: %s" % intvlStr)
else:
intvlNum, intvlUnit = int(intvlStr[1:-1]), intvlStr[-1]
try:
factor, field = {
"Y": (1440 * 365, Calendar.YEAR),
"M": (1440 * 30, Calendar.MONTH),
"D": (1440, Calendar.DATE)
}[intvlUnit]
except KeyError:
raise Exception("Unexpected interval: %s" % intvlStr)
intvl = intvlNum * factor
segmentCount = rts["segment-count"]
cal.setTimeInMillis(
sdf8601.parse(rts["segments"][0]["first-time"]).getTime())
for i in range(segmentCount):
for j in range(rts["segments"][i]["value-count"]):
ht.set(sdfHecTime.format(cal.getTimeInMillis()))
v, q = rts["segments"][i]["values"][j]
times.append(ht.value())
values.append(v)
qualities.append(q)
cal.add(field, intvlNum)
if i < segmentCount - 1:
nextBegin = sdf8601.parse(
rts["segments"][i + 1]["first-time"]).getTime()
time = cal.getTimeInMillis()
while time < nextBegin:
ht.set(sdfHecTime.format(time))
times.append(ht.value())
values.append(Constants.UNDEFINED)
qualities.append(0)
cal.add(field, intvlNum)
time = cal.getTimeInMillis()
elif tsData.has_key("irregular-interval-values"):
#------------------------------#
# irregular time series (easy) #
#------------------------------#
its = tsData["irregular-interval-values"]
unit = its["unit"].split()[0]
intvl = 0
for t, v, q in its["values"]:
ht.set(sdfHecTime.format(sdf8601.parse(t)))
times.append(ht.value())
values.append(v)
qualities.append(q)
else:
raise Exception("Time series has no values")
#--------------------------------------------------#
# code common to regular and irregular time series #
#--------------------------------------------------#
tsc = TimeSeriesContainer()
tsc.times = times
tsc.values = values
tsc.quality = qualities
tsc.numberValues = len(times)
tsc.startTime = times[0]
tsc.endTime = times[-1]
tsc.interval = intvl
tsc.units = unit
tsc.timeZoneID = timeZone
tsc.timeZoneRawOffset = tz.getRawOffset()
name = tsData["name"]
loc, param, paramType, intv, dur, ver = name.split(".")
if pathname:
#---------------------------#
# use pathname if specified #
#---------------------------#
A, B, C, D, E, F = 1, 2, 3, 4, 5, 6
parts = pathname.split("/")
parts[D] = ''
tsc.fullName = "/".join(parts)
tsc.watershed = parts[A]
try:
tsc.location, tsc.subLocation = parts[B].split("-", 1)
except:
tsc.location = parts[B]
try:
tsc.parameter, tsc.subParameter = parts[C].split("-", 1)
except:
tsc.parameter = parts[C]
try:
tsc.version, tsc.subVersion = parts[F].split("-", 1)
except:
tsc.version = parts[F]
else:
#--------------------------------------#
# no pathname, use CWMS time series id #
#--------------------------------------#
try:
tsc.location, tsc.subLocation = loc.split("-", 1)
except:
tsc.location = loc
try:
tsc.parameter, tsc.subParameter = param.split("-", 1)
except:
tsc.parameter = param
try:
tsc.version, tsc.subVersion = ver.split("-", 1)
except:
tsc.version = ver
tsc.type = {
"Total": "PER-CUM",
"Max": "PER-MAX",
"Min": "PER-MIN",
"Const": "INST-VAL",
"Ave": "PER-AVER",
"Inst": ("INST-VAL", "INST-CUM")[param.startswith("Precip")]
}[paramType]
except:
output(traceback.format_exc())
return tsc
ver = "OBS"
startTime = "12Oct2003 0100"
values = [12.36, 12.37, 12.42, 12.55, 12.51, 12.47, 12.43, 12.39]
hecTime = HecTime()
tsc = TimeSeriesContainer()
tsc.watershed = watershed
tsc.location = loc
tsc.parameter = param
tsc.version = ver
tsc.fullName = "/%s/%s/%s//1HOUR/%s/" % (watershed, loc, param, ver)
tsc.interval = 60
hecTime.set(startTime)
times=[]
for value in values:
times.append(hecTime.value())
hecTime.add(tsc.interval)
tsc.values = values
tsc.times = times
tsc.startTime = times[0]
tsc.endTime = times[-1]
tsc.numberValues = len(values)
tsc.units = "FEET"
tsc.type = "INST-VAL"
dssFile = HecDss.open("myFile.dss")
dssFile.put(tsc)
dssFile.done()
def onePerParam(config, dssFilePath):
plotted = 0 # Number of plots exported
messages = []
outputFolder = tbu.relativeFolder(config['output_folder'], dssFilePath)
dssFile = HecDss.open(dssFilePath)
minDate = HecTime(config['period']['start'])
maxDate = HecTime(config['period']['end'])
colours = _coloursByLocation(config)
for param, paramConfig in config['params'].iteritems():
thePlot = Plot.newPlot()
dataPaths = [
"/%s/%s/%s//%s/%s/" % (config['site'].upper(),
location.upper(),
param.upper(),
config['interval'].upper(),
config['version'].upper())
for location in config['locations']
]
datasets = [dssFile.get(p, 1) for p in dataPaths]
datasets = [d for d in datasets if d.numberValues > 0]
if not datasets:
messages.append("No data for parameter '%s'." % param)
continue
map(thePlot.addData, datasets)
thePlot.showPlot()
thePlot.setPlotTitleText(param)
thePlot.setPlotTitleVisible(1)
thePlot.setSize(int(config['width']), int(config['height']))
# We can only access labels and curves at this point
map(lambda d: thePlot.getLegendLabel(d).setText(d.location), datasets)
for dataset in datasets:
curve = thePlot.getCurve(dataset)
curve.setLineColor("%s, %s, %s" % tuple(colours[dataset.location]))
curve.setLineWidth(config['line']['width'])
units = set(ds.units for ds in datasets)
for vp_index, unit in enumerate(units): # 1 viewport per distinct unit
viewport = thePlot.getViewport(vp_index)
viewport.getAxis("X1").setScaleLimits(minDate.value(),
maxDate.value())
viewport.getAxis("Y1").setLabel(unit)
viewport.setMinorGridXVisible(1)
viewport.setMinorGridYVisible(1)
if paramConfig:
if paramConfig['scale'].lower() == 'log':
viewport.setLogarithmic('Y1') # This throws a warning message if y-values <= 0. We can't catch this as an exception.
thePlot.saveToJpeg(os.path.join(outputFolder,
config['version'] + "_" + param),
95)
thePlot.close()
plotted += 1
dssFile.done()
return plotted, messages
from hec.heclib.util import HecTime
from hec.heclib.dss import HecDss, DSSPathname
from hec.io import TimeSeriesContainer
from hec.heclib.util import HecTime
import java
import sys
import os
fileName = "c:/temp/day_granularity.dss"
if os.path.isfile(fileName):
os.remove(fileName)
dss = HecDss.open(fileName)
tsc = TimeSeriesContainer()
tsc.fullName = "/test/day_granularity/FLOW/04Sep3000/1YEAR/MODEL/"
tsc.values = range(1, 3000, 1)
start = HecTime("04Sep3000", "1330")
LastYear = 3000
AnnualTimes = []
for x in range(len(tsc.values)):
LastYear += 1
hecTime = HecTime('31Dec%04d 2400' % LastYear, HecTime.DAY_GRANULARITY)
AnnualTimes.append(hecTime.value())
tsc.times = AnnualTimes
tsc.numberValues = len(tsc.values)
tsc.units = "CFS"
tsc.type = "PER-AVER"
tsc.setTimeGranularitySeconds(86400)
dss.put(tsc)
