def create_get_values_site_response(self, site, startDateTime,
endDateTime):
timeSeriesResponse = WaterML.TimeSeriesResponseType()
logging.debug(
'create_get_values_site_response: timeSeriesResponse created')
queryInfo = WaterML.QueryInfoType(creationTime=datetime.datetime.now())
criteria = WaterML.criteriaType(MethodCalled='GetValuesForASite')
pType_site = WaterML.parameterType(name='site', value=site)
criteria.add_parameter(pType_site)
if startDateTime is not None:
pType_sdate = WaterML.parameterType(name='startDate',
value=startDateTime)
criteria.add_parameter(pType_sdate)
if endDateTime is not None:
pType_edate = WaterML.parameterType(name='endDate',
value=endDateTime)
criteria.add_parameter(pType_edate)
queryInfo.set_criteria(criteria)
# queryInfoNote = WaterML.NoteType()
# queryInfo.add_note(queryInfoNote)
# queryInfo.set_extension('')
timeSeriesResponse.set_queryInfo(queryInfo)
logging.debug(
'create_get_values_site_response: queryInfo set to timeSeriesResponse'
)
siteCode = self.get_site_code(site)
seriesResultArr = self.dao.get_series_by_sitecode(siteCode)
logging.debug(
'create_get_values_site_response: seriesResultArr: {} series'.
format(len(seriesResultArr)))
if seriesResultArr:
for seriesResult in seriesResultArr:
valueResultArr = self.dao.get_datavalues_series(
seriesResult, startDateTime, endDateTime)
logging.debug(
'create_get_values_site_response: valueResultArr determined'
)
# if not valueResultArr:
# raise Exception(
# ('ERROR: No data found for {} for dates '
# '{} - {}').format(site, startDateTime, endDateTime))
if not valueResultArr or len(valueResultArr) == 0:
continue
timeSeries = self.create_timeseries(
siteCode, seriesResult.Variable.VariableCode,
valueResultArr)
timeSeriesResponse.add_timeSeries(timeSeries)
return timeSeriesResponse
def create_get_values_response(self,
siteArg,
varArg,
startDateTime=None,
endDateTime=None):
# TODO: Tim thinks the DAO should handle network and vocab parsing,
# not WOF
# Flavio:
# cleans the siteCode, by eliminating the network part in the
# network:siteCode representation
# cleans the varCode, by eliminating the vocabulary part in the
# vocabular:varCode representation
siteCode = self.get_site_code(siteArg)
varCode = self.get_variable_code(varArg)
valueResultArr = self.dao.get_datavalues(siteCode, varCode,
startDateTime, endDateTime)
# if not valueResultArr:
# raise Exception(
# "ERROR: No data found for {}:{} for dates {} - {}".format(
# siteCode, varCode, startDateTime, endDateTime
# )
# )
# Flavio:
# Creates timeSeriesResponse (a WaterML1.1 TimeSeriesResponseType object)
# with queryInfo (site, variable, startDate, endDate)
timeSeriesResponse = WaterML.TimeSeriesResponseType()
queryInfo = WaterML.QueryInfoType(creationTime=datetime.datetime.now())
criteria = WaterML.criteriaType(MethodCalled='GetValues')
pType_site = WaterML.parameterType(name='site', value=siteArg)
criteria.add_parameter(pType_site)
pType_var = WaterML.parameterType(name='variable', value=varArg)
criteria.add_parameter(pType_var)
if startDateTime is not None:
pType_sdate = WaterML.parameterType(name='startDate',
value=startDateTime)
criteria.add_parameter(pType_sdate)
if endDateTime is not None:
pType_edate = WaterML.parameterType(name='endDate',
value=endDateTime)
criteria.add_parameter(pType_edate)
queryInfo.set_criteria(criteria)
# queryInfoNote = WaterML.NoteType()
# queryInfo.add_note(queryInfoNote)
# queryInfo.set_extension('')
timeSeriesResponse.set_queryInfo(queryInfo)
logging.debug(
'create_get_values_response: timeSeriesResponse created with queryInfo'
)
# if not valueResultArr:
# timeSeries = WaterML.TimeSeriesType()
# timeSeriesResponse.add_timeSeries(timeSeries)
# return timeSeriesResponse
if not valueResultArr:
raise Exception(
"Values Not Found for {}:{} for dates {} - {}".format(
siteCode, varCode, startDateTime, endDateTime))
if isinstance(valueResultArr, dict):
logging.debug('create_get_values_response: valueResultArr is dict')
for key in valueResultArr.keys():
timeSeries = self.create_timeseries(siteCode, key,
valueResultArr[key])
timeSeriesResponse.add_timeSeries(timeSeries)
else:
logging.debug(
'create_get_values_response: valueResultArr is not dict')
timeSeries = self.create_timeseries(siteCode, varCode,
valueResultArr)
timeSeriesResponse.add_timeSeries(timeSeries)
return timeSeriesResponse
def create_get_values_response(self,
siteArg,
varArg,
startDateTime=None,
endDateTime=None):
# TODO: Tim thinks the DAO should handle network and vocab parsing,
# not WOF
siteCode = self.get_site_code(siteArg)
varCode = self.get_variable_code(varArg)
valueResultArr = self.dao.get_datavalues(siteCode, varCode,
startDateTime, endDateTime)
# if not valueResultArr:
# raise Exception(
# "ERROR: No data found for {}:{} for dates {} - {}".format(
# siteCode, varCode, startDateTime, endDateTime
# )
# )
timeSeriesResponse = WaterML.TimeSeriesResponseType()
queryInfo = WaterML.QueryInfoType(creationTime=datetime.datetime.now())
criteria = WaterML.criteriaType(MethodCalled='GetValues')
pType_site = WaterML.parameterType(name='site', value=siteArg)
criteria.add_parameter(pType_site)
pType_var = WaterML.parameterType(name='variable', value=varArg)
criteria.add_parameter(pType_var)
if startDateTime is not None:
pType_sdate = WaterML.parameterType(name='startDate',
value=startDateTime)
criteria.add_parameter(pType_sdate)
if endDateTime is not None:
pType_edate = WaterML.parameterType(name='endDate',
value=endDateTime)
criteria.add_parameter(pType_edate)
queryInfo.set_criteria(criteria)
# queryInfoNote = WaterML.NoteType()
# queryInfo.add_note(queryInfoNote)
# queryInfo.set_extension('')
timeSeriesResponse.set_queryInfo(queryInfo)
# if not valueResultArr:
# timeSeries = WaterML.TimeSeriesType()
# timeSeriesResponse.add_timeSeries(timeSeries)
# return timeSeriesResponse
if not valueResultArr:
raise Exception(
"Values Not Found for {}:{} for dates {} - {}".format(
siteCode, varCode, startDateTime, endDateTime))
if isinstance(valueResultArr, dict):
for key in valueResultArr.keys():
timeSeries = self.create_timeseries(siteCode, key,
valueResultArr[key])
timeSeriesResponse.add_timeSeries(timeSeries)
else:
timeSeries = self.create_timeseries(siteCode, varCode,
valueResultArr)
timeSeriesResponse.add_timeSeries(timeSeries)
return timeSeriesResponse