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 reformatForecast(fcstTSC):
# converts dailies to forecast set;
# converts irregular data with monthly 0s to standard CRT format.
# iterate through values
outTimes = []
outVals = []
firstPoint = True
prevTime, prevVal = 0, Constants.UNDEFINED
isIrregular = (fcstTSC.interval <= 0)
for t,v in zip(fcstTSC.times, fcstTSC.values):
# add end point from previous when this changes; then start with new value
ht = HecTime()
ht.set(t)
prevHt = HecTime()
prevHt.set(prevTime)
# insert new point whenever it changes, month changes, or on the first point
if firstPoint or v != prevVal or (ht.month() != prevHt.month() and v != 0):
# output endtimestamp for previous value
if not firstPoint:
outTimes.append(prevTime)
outVals.append(prevVal)
if firstPoint:
firstPoint = False
# output start timestamp for this value
offset = -(24*60) + 1 # default to one minute past 0000 this day.
if isIrregular and ht.minute() != 0:
offset = 0
outTimes.append(t + offset)
outVals.append(v)
prevTime = t
prevVal = v
# add last value to finish out series.
#outTimes.append(t)
#outVals.append(v)
# create output TSC
fcstOutTSC = TimeSeriesContainer()
fcstOutTSC.interval = -1
newPathName = fcstTSC.fullName.split("/")
if not isIrregular:
newPathName[5] = "IR-CENTURY"
fcstOutTSC.fullName = "/".join(newPathName)
fcstOutTSC.times = outTimes
fcstOutTSC.values = outVals
print fcstOutTSC.fullName
print(outVals)
fcstOutTSC.numberValues = len(outVals)
fcstOutTSC.startTime = outTimes[0]
fcstOutTSC.units = fcstTSC.units
fcstOutTSC.type = "INST-VAL"
return fcstOutTSC
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 addData(dss,path,data):
tsc = TimeSeriesContainer()
tsc.fullName = path
start = HecTime("01Jan2100", "1200")
tsc.interval = 5
rain = data
times = []
for value in rain :
times.append(start. value())
start.add(tsc.interval)
tsc.times = times
tsc.values = rain
tsc.numberValues = len(rain)
tsc.units = "MM"
tsc.type = "PER-CUM"
dss.put(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()
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
def put_to_dss(site, dss):
"""Save timeseries to DSS File
Parameters
----------
site: json
JSON object containing meta data about the site/parameter combination,
time array and value array
dss: HecDss DSS file object
The open DSS file records are written to
Returns
-------
None
Raises
------
Put to DSS exception handled with a message output saying site not saved, but
continues on trying additional site/parameter combinations
"""
Site = namedtuple(
'Site',
site.keys()
)(**site)
parameter, unit, data_type, version = usgs_code[Site.code]
times = [
HecTime(t, HecTime.MINUTE_GRANULARITY).value()
for t in Site.times
]
timestep_min = None
for i, t in enumerate(range(len(times) - 1)):
ts = abs(times[t + 1] - times[t])
if ts < timestep_min or timestep_min is None:
timestep_min = ts
epart = TimeStep().getEPartFromIntervalMinutes(timestep_min)
# Set the pathname
pathname = '/{0}/{1}/{2}//{3}/{4}/'.format(ws_name, Site.site_number, parameter, epart, version).upper()
apart, bpart, cpart, _, _, fpart = pathname.split('/')[1:-1]
container = TimeSeriesContainer()
container.fullName = pathname
container.location = apart
container.parameter = parameter
container.type = data_type
container.version = version
container.interval = timestep_min
container.units = unit
container.times = times
container.values = Site.values
container.numberValues = len(Site.times)
container.startTime = times[0]
container.endTime = times[-1]
container.timeZoneID = tz
# container.makeAscending()
if not TimeSeriesMath.checkTimeSeries(container):
return 'Site: "{}" not saved to DSS'.format(Site.site_number)
tsc = TimeSeriesFunctions.snapToRegularInterval(container, epart, "0MIN", "0MIN", "0MIN")
# Put the data to DSS
try:
dss.put(tsc)
except Exception as ex:
print(ex)
return 'Site: "{}" not saved to DSS'.format(Site.site_number)
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()
fin.close()
try:
try:
myDss = HecDss.open(
"C:/Users/CIVIL/Desktop/HEC-HMS_EXAMPLE/HEC-HMS_EXAMPLE/SandyUpdate28th/SandyUpdate28th.dss"
)
tsc = TimeSeriesContainer()
tsc.fullName = "//%s/PRECIP-INC/%s /1HOUR/OBS/" % (f[:-4],
times[0])
start = HecTime(dates[0], times[0])
tsc.interval = int(times[1]) - int(times[0])
hec_times = []
for t in times:
hec_times.append(start.value())
start.add(tsc.interval)
tsc.times = hec_times
tsc.values = precip
tsc.numberValues = len(precip)
tsc.units = "INCHES"
tsc.type = "PER-CUM"
myDss.put(tsc)
except Exception, e:
MessageBox.showError(' '.join(e.args), "Python Error")
except java.lang.Exception, e:
MessageBox.showError(e.getMessage(), "Error")
finally:
print "DSS created for %s!" % (fin.name)
HecDss.done(myDss)
from hec.script import Plot, MessageBox
from hec.io import TimeSeriesContainer
from hec.heclib.dss import HecDss, DSSPathname
from hec.heclib.util import HecTime
import java
import sys
try:
myDss = HecDss.open("c:/temp/test.dss")
tsc = TimeSeriesContainer()
tsc.fullName = "/BASIN/LOC/FLOW//1HOUR/OBS/"
start = HecTime("04Sep1996", "1330")
tsc.interval = 60
flows = [0.0, 2.0, 1.0, 4.0, 3.0, 6.0, 5.0, 8.0, 7.0, 9.0]
times = []
for value in flows:
times.append(start.value())
start.add(tsc.interval)
tsc.times = times
tsc.values = flows
tsc.numberValues = len(flows)
tsc.units = "CFS"
tsc.type = "PER-AVER"
myDss.put(tsc)
print "Done"
except Exception, e:
print(e)
finally:
print "Closing DSS File"
myDss.close()
tsATI.version = 'CALC'
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'
tsMelt.interval = 1440
tsMelt.fullName = '/%s/%s/%s//1DAY/%s/' % \
(aPart, b, 'MELT-CUM', 'CALC')
tsMelt.values = m
tsMelt.times = times