def upload_settings_from_excelfile(xls_file_name, load_excel_reference_results=False):
"""load settings from the waternet excelfile format
"""
print "start import file %s" % xls_file_name
xls = xlrd.open_workbook(xls_file_name)
sheet = xls.sheet_by_name("uitgangspunten")
wb_area_name = sheet.cell(0, 0).value
pars = {}
pars["rainfall_day"], new = Parameter.objects.get_or_create(
name="dag neerslag",
unit="mm/dag",
parameter=Parameter.PARAMETER_PRECIPITATION,
sourcetype=Parameter.TYPE_MEASURED,
)
pars["evaporation_day"], new = Parameter.objects.get_or_create(
name="dag verdamping",
unit="mm/dag",
parameter=Parameter.PARAMETER_EVAPORATION,
sourcetype=Parameter.TYPE_MEASURED,
)
pars["min_level"], new = Parameter.objects.get_or_create(
name="minimum waterpeil",
unit="mNAP",
parameter=Parameter.PARAMETER_WATERLEVEL,
sourcetype=Parameter.TYPE_USERINPUT,
)
pars["max_level"], new = Parameter.objects.get_or_create(
name="maximum waterpeil",
unit="mNAP",
parameter=Parameter.PARAMETER_WATERLEVEL,
sourcetype=Parameter.TYPE_USERINPUT,
)
pars["reference_waterlevel_day"], new = Parameter.objects.get_or_create(
name="gemeten waterpeil",
unit="mNAP",
parameter=Parameter.PARAMETER_WATERLEVEL,
sourcetype=Parameter.TYPE_MEASURED,
)
pars["seepage_infiltration"], new = Parameter.objects.get_or_create(
name="kwel(+) en wegzijging(-)",
unit="mm/dag",
parameter=Parameter.PARAMETER_SEEPAGE_INFILTRATION,
sourcetype=Parameter.TYPE_USERINPUT,
)
pars["seepage"], new = Parameter.objects.get_or_create(
name="kwel",
unit="mm/dag",
parameter=Parameter.PARAMETER_SEEPAGE_INFILTRATION,
sourcetype=Parameter.TYPE_USERINPUT,
)
pars["infiltration"], new = Parameter.objects.get_or_create(
name="wegzijging",
unit="mm/dag",
parameter=Parameter.PARAMETER_SEEPAGE_INFILTRATION,
sourcetype=Parameter.TYPE_USERINPUT,
)
pars["structure_discharge"], new = Parameter.objects.get_or_create(
name="kunstwerk_debiet",
unit="m3/dag",
parameter=Parameter.PARAMETER_DISCHARGE,
sourcetype=Parameter.TYPE_MEASURED,
)
pars["chloride_measurement"], new = Parameter.objects.get_or_create(
name="gemeten chloride", unit="mg/l", parameter=Parameter.PARAMETER_CHLORIDE, sourcetype=Parameter.TYPE_MEASURED
)
pars["sewer_day"], new = Parameter.objects.get_or_create(
name="referentie gemengde riolering", unit="m3/dag/ha", sourcetype=Parameter.TYPE_USERINPUT
)
try:
area = WaterbalanceArea.objects.get(name=wb_area_name)
scenario, new = WaterbalanceScenario.objects.get_or_create(name="import")
except (WaterbalanceArea.DoesNotExist):
print "geometry van gebied %s niet gevonden" % wb_area_name
area, new = WaterbalanceArea.objects.get_or_create(name="%s n.g." % wb_area_name)
# create scenario with name and link areas later manually
scenario, new = WaterbalanceScenario.objects.get_or_create(name="import")
config, config_new = WaterbalanceConf.objects.get_or_create(
waterbalance_scenario=scenario,
waterbalance_area=area,
defaults={
"calculation_start_date": datetime(1996, 1, 1),
"description": "%s - %s" % (str(area.name), str(scenario.name)),
},
)
labels = {}
labels[(0, "neerslag")], new = Label.objects.get_or_create(
program_name="precipitation"
) # name='neerslag', flow_type=Label.TYPE_IN, defaucolor='#0000ff', color_increment='#ff0000')
labels[(1, "kwel")], new = Label.objects.get_or_create(
program_name="seepage"
) # name='kwel', flow_type=Label.TYPE_IN, color='#ffbb00', color_increment='#ff0000')
labels[(2, "verhard")], new = Label.objects.get_or_create(
program_name="hardened"
) # name='verhard', flow_type=Label.TYPE_IN, color='#bbbbbb', color_increment='#ff0000')
labels[(3, "riolering")], new = Label.objects.get_or_create(
program_name="sewer"
) # name='riolering', flow_type=Label.TYPE_IN, color='#006600', color_increment='#ff0000')
labels[(4, "gedraineerd")], new = Label.objects.get_or_create(
program_name="drained"
) # name='gedraineerd', flow_type=Label.TYPE_IN, color='#ff9900', color_increment='#ff0000')
labels[(5, "uitspoeling")], new = Label.objects.get_or_create(
program_name="undrained"
) # name='uitspoeling', flow_type=Label.TYPE_IN, color='#00ff00', color_increment='#ff0000')
labels[(6, "afstroming")], new = Label.objects.get_or_create(
program_name="flow_off"
) # name='afstroming', flow_type=Label.TYPE_IN, color='#008800', color_increment='#ff0000')
labels[(7, "inlaat1")], new = Label.objects.get_or_create(
program_name="inlet1"
) # name='inlaat 1', flow_type=Label.TYPE_IN, color='#ff00ff', color_increment='#ff0000')
labels[(8, "inlaat2")], new = Label.objects.get_or_create(
program_name="inlet2"
) # name='inlaat 2', flow_type=Label.TYPE_IN, color='#cc00cc', color_increment='#ff0000')
labels[(9, "inlaat3")], new = Label.objects.get_or_create(
program_name="inlet3"
) # name='inlaat 3',, flow_type=Label.TYPE_IN, color='#aa00aa', color_increment='#ff0000')
labels[(10, "inlaat4")], new = Label.objects.get_or_create(
program_name="inlet4"
) # name='inlaat 4',, flow_type=Label.TYPE_IN, color='#880088', color_increment='#ff0000')
labels[(11, "inlaat peilhandhaving")], new = Label.objects.get_or_create(
program_name="intake_wl_control"
) # name='inlaat peilhandhaving',, flow_type=Label.TYPE_IN, color='#440044', color_increment='#ff0000')
labels[(-1, "initieel")], new = Label.objects.get_or_create(
program_name="initial"
) # name='afstroming', flow_type=Label.TYPE_IN, color='#008800', color_increment='#ff0000')
labels[(-1, "uitlaat1")], new = Label.objects.get_or_create(
program_name="outtake1"
) # name='uitlaat 1', flow_type=Label.TYPE_OUT, color='#663399', color_increment='#ff0000')
labels[(-1, "uitlaat2")], new = Label.objects.get_or_create(
program_name="outtake2"
) # name='uitlaat 2', flow_type=Label.TYPE_OUT, color='#443399', color_increment='#ff0000')
labels[(-1, "uitlaat3")], new = Label.objects.get_or_create(
program_name="outtake3"
) # name='uitlaat 3', flow_type=Label.TYPE_OUT, color='#666699', color_increment='#ff0000')
labels[(-1, "uitlaat4")], new = Label.objects.get_or_create(
program_name="outtake4"
) # name='uitlaat 4', flow_type=Label.TYPE_OUT, color='#554499', color_increment='#ff0000')
labels[(-1, "uitlaat5")], new = Label.objects.get_or_create(
program_name="outtake5"
) # name='uitlaat 5', flow_type=Label.TYPE_OUT, color='#6633bb', color_increment='#ff0000')
labels[(-1, "uitlaat6")], new = Label.objects.get_or_create(
program_name="outtake6"
) # name='uitlaat 6', flow_type=Label.TYPE_OUT, color='#662288', color_increment='#ff0000')
labels[(-1, "uitlaat peilhandhaving")], new = Label.objects.get_or_create(
program_name="outtake_wl_control"
) # name='uitlaat peilhandhaving', flow_type=Label.TYPE_OUT, color='#7744aa', color_increment='#ff0000')
# lab, new = Label.objects.get_or_create(name='intrek', program_name='indraft')#, flow_type=Label.TYPE_OUT, color='#ff9911', color_increment='#ff0000')
# lab, new = Label.objects.get_or_create(name='wegzijging', program_name='infiltration')#, flow_type=Label.TYPE_OUT, color='#444444', color_increment='#ff0000')
# lab, new = Label.objects.get_or_create(name='verdamping', program_name='evaporation')#, flow_type=Label.TYPE_OUT, color='#0000ff', color_increment='#ff0000')
# lab, new = Label.objects.get_or_create(name='sluitfout', program_name='sluice_error')#, flow_type=Label.TYPE_ERROR, color='#000000', color_increment='#000000')
# lab, new = Label.objects.get_or_create(name='gemeten waterpeil', program_name='meas_waterlevel')# flow_type=Label.TYPE_OTHER, color='#0000ff', color_increment='#000000')
# lab, new = Label.objects.get_or_create(program_name='calc_waterlevel')#name='berekend waterpeil', , flow_type=Label.TYPE_ERROR, color='#ff00ff', color_increment='#000000')
# lab, new = Label.objects.get_or_create(program_name='initial')#name='initieel', , flow_type=Label.TYPE_ERROR, color='#222222', color_increment='#000000')
# initieel nog invullen
def get_float_or_default(sheet, rownr, colnr, default_value=None):
if type(sheet.cell(rownr, colnr).value).__name__ in ["int", "float"]:
return float(sheet.cell(rownr, colnr).value)
else:
return default_value
for key, label in labels.items():
rownr = key[0] + 16
if key[0] >= 0 and (
type(sheet.cell(key[0] + 16, 1).value).__name__ in ["str", "unicode"]
or get_float_or_default(sheet, key[0] + 16, 1) is not None
):
concentration, new = Concentration.objects.get_or_create(label=label, configuration=config)
concentration.stof_lower_concentration = get_float_or_default(sheet, rownr, 3, 0)
concentration.stof_increment = get_float_or_default(sheet, rownr, 4, 0)
concentration.cl_concentration = get_float_or_default(sheet, rownr, 5, 0)
concentration.p_lower_concentration = get_float_or_default(sheet, rownr, 7, 0)
concentration.p_incremental = get_float_or_default(sheet, rownr, 8, 0)
concentration.n_lower_concentration = get_float_or_default(sheet, rownr, 9)
concentration.n_incremental = get_float_or_default(sheet, rownr, 10)
concentration.so4_lower_concentration = get_float_or_default(sheet, rownr, 11)
concentration.so4_incremental = get_float_or_default(sheet, rownr, 12)
concentration.save()
labels = dict([(key[1], label) for key, label in labels.items()])
concentration, new = Concentration.objects.get_or_create(label=labels["initieel"], configuration=config)
concentration.stof_lower_concentration = 0
concentration.stof_increment = 0
concentration.cl_concentration = get_float_or_default(sheet, 32, 3, 0)
concentration.p_lower_concentration = 0
concentration.p_incremental = 0
concentration.save()
if config_new:
WaterbalanceTimeserie.objects.filter(configuration_references=config)
# reference - waterlevel
parameter = pars["reference_waterlevel_day"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
config.references.add(wb_timeserie)
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, 3, stick_to_last_value=True)
# reference - chloride
parameter = pars["chloride_measurement"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
config.references.add(wb_timeserie)
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 22, 23)
# reference - chloride
parameter = pars["chloride_measurement"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
config.references.add(wb_timeserie)
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_references=config)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 24, 25)
# results - todo
if config.open_water:
open_water = config.open_water
new = False
else:
open_water = OpenWater()
new = True
######################### OpenWater ##############################
open_water.name = config.__unicode__()
open_water.surface = sheet.cell(10, 3).value
open_water.bottom_height = sheet.cell(11, 3).value # is average depth
open_water.init_water_level = sheet.cell(67, 3).value
# precipitation
parameter = pars["rainfall_day"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_precipitation=config).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
open_water.precipitation = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_precipitation=config)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, 1)
# evaporation
parameter = pars["evaporation_day"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_evaporation=config).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
open_water.evaporation = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, configuration_evaporation=config)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, 2)
# sewer
parameter = pars["sewer_day"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_sewer=open_water).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (config.__unicode__()[:30], parameter.name[:15])
)
open_water.sewer = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_sewer=open_water)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, 9)
# minimum_level
array_with_values = [
[1, 1, float(sheet.cell(66, 2).value)],
[3, 15, float(sheet.cell(63, 2).value)],
[5, 1, float(sheet.cell(64, 2).value)],
[8, 15, float(sheet.cell(65, 2).value)],
[10, 1, float(sheet.cell(66, 2).value)],
]
parameter = pars["min_level"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_min_level=open_water).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (open_water.__unicode__()[:30], parameter.name[:15])
)
open_water.minimum_level = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_min_level=open_water)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values, stick_to_last_value=True)
# maximum_level
array_with_values = [
[1, 1, float(sheet.cell(66, 4).value)],
[3, 15, float(sheet.cell(63, 4).value)],
[5, 1, float(sheet.cell(64, 4).value)],
[8, 15, float(sheet.cell(65, 4).value)],
[10, 1, float(sheet.cell(66, 4).value)],
]
parameter = pars["max_level"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_max_level=open_water).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (open_water.__unicode__()[:30], parameter.name[:15])
)
open_water.maximum_level = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_max_level=open_water)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values)
# target_level, wordt niet gebruikt, weg?
# seepage
array_with_values = [[1, 1, float(sheet.cell(36, 1).value)]]
parameter = pars["seepage"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_seepage=open_water).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (open_water.__unicode__()[:30], parameter.name[:15])
)
open_water.seepage = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_seepage=open_water)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values)
array_with_values = [[1, 1, float(sheet.cell(36, 1).value)]]
parameter = pars["infiltration"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_infiltration=open_water).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (open_water.__unicode__()[:30], parameter.name[:15])
)
open_water.infiltration = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, open_water_infiltration=open_water)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values)
open_water.save()
config.open_water = open_water
config.save()
######################### Buckets ##############################
bucket_nr = 0
for colnr in range(4, 12):
if sheet.cell(34, colnr).value > 0 and (
sheet.cell(34, colnr).value < sheet.cell(34, colnr + 1).value or sheet.cell(34, colnr + 1).value < 0
):
bucket_nr = bucket_nr + 1
if sheet.cell(34, colnr).value == sheet.cell(34, colnr - 1).value:
# dubble bucket
print "dubbel bucket: %s" % sheet.cell(35, colnr - 1).value
col_upper = colnr - 1
col_lower = colnr
name = sheet.cell(35, col_upper).value
if name.find("verhard") >= 0:
surface_type = Bucket.HARDENED_SURFACE
elif name.find("gedraineerd") >= 0:
surface_type = Bucket.DRAINED_SURFACE
else:
print 'WARNING: bucket type "%s"unknown, take drained' % name
surface_type = Bucket.DRAINED_SURFACE
else:
# single bucket
print "single bucket: %s" % sheet.cell(35, colnr).value
col_upper = colnr
col_lower = colnr
name = sheet.cell(35, col_upper).value
if name.find("stedelijk") >= 0:
bucket.surface_type = Bucket.STEDELIJK_SURFACE
elif name.find("ongedraineerd") >= 0:
bucket.surface_type = Bucket.UNDRAINED_SURFACE
elif name.lower().find("verhard") >= 0:
bucket.surface_type = Bucket.HARDENED_SURFACE
elif name.lower().find("landelijk") >= 0:
bucket.surface_type = Bucket.UNDRAINED_SURFACE
else:
print 'WARNING: bucket type "%s" unknown, take undrained' % name
bucket.surface_type = Bucket.UNDRAINED_SURFACE
if Bucket.objects.filter(open_water=open_water, name=name, surface_type=surface_type).count() > 0:
bucket = Bucket.objects.filter(open_water=open_water, name=name, surface_type=surface_type)[0]
else:
bucket = Bucket()
bucket.name = name
bucket.surface_type = surface_type
bucket.slug = sheet.cell(35, col_upper).value
bucket.surface = 0
if not sheet.cell(43, col_upper).value in ["", None]:
bucket.surface = sheet.cell(43, col_upper).value
else:
bucket.surface = 0
print "Warning: bucket surface veld is leeg"
bucket.open_water = open_water
# upper
if bucket.surface_type == Bucket.HARDENED_SURFACE:
bucket.crop_evaporation_factor = 1
bucket.min_crop_evaporation_factor = 1
else:
bucket.crop_evaporation_factor = 1
bucket.min_crop_evaporation_factor = 0.75
bucket.upper_porosity = sheet.cell(38, col_upper).value
bucket.upper_drainage_fraction = sheet.cell(36, col_upper).value
bucket.upper_indraft_fraction = sheet.cell(37, col_upper).value
bucket.upper_max_water_level = sheet.cell(39, col_upper).value
bucket.upper_equi_water_level = 0
if type(sheet.cell(41, col_upper).value) == type(1) or type(sheet.cell(41, col_upper).value) == type(1.0):
bucket.upper_min_water_level = sheet.cell(41, col_upper).value
else:
bucket.upper_min_water_level = None
bucket.upper_init_water_level = sheet.cell(42, col_upper).value
# lower
bucket.porosity = sheet.cell(38, col_lower).value
bucket.drainage_fraction = sheet.cell(36, col_lower).value
bucket.indraft_fraction = sheet.cell(37, col_lower).value
bucket.max_water_level = sheet.cell(39, col_lower).value
bucket.equi_water_level = 0
if type(sheet.cell(41, col_lower).value) == type(1) or type(sheet.cell(41, col_lower).value) == type(1.0):
bucket.min_water_level = sheet.cell(41, col_lower).value
else:
bucket.min_water_level = None
bucket.init_water_level = sheet.cell(42, col_lower).value
# bucket.seepage
array_with_values = [[1, 1, float(sheet.cell(37 + bucket_nr, 1).value)]]
parameter = pars["seepage_infiltration"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, bucket_seepage=bucket).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (bucket.__unicode__()[:30], parameter.name[:15])
)
bucket.seepage = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, bucket_seepage=bucket)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values)
bucket.save()
# results
################# PUMPINGSTATIONS ################
retrieve_intake_for_level_control(open_water, labels, sheet, pars)
# uitlaat peilhandhaving
if PumpingStation.objects.filter(open_water=open_water, name="uitlaat peilhandhaving").count() > 0:
pumping_station = PumpingStation.objects.filter(open_water=open_water, name="uitlaat peilhandhaving")[0]
else:
pumping_station = PumpingStation()
pumping_station.open_water = open_water
pumping_station.name = "uitlaat peilhandhaving"
pumping_station.into = False
pumping_station.percentage = 100
pumping_station.computed_level_control = True
pumping_station.label = labels["uitlaat peilhandhaving"]
if type(sheet.cell(70, 1).value) == type(1) or type(sheet.cell(70, 1).value) == type(1.0):
pumping_station.max_discharge = sheet.cell(70, 1).value
pumping_station.save()
for colnr in range(4, 8):
if (not sheet.cell(72, colnr).value == None) and len(str(sheet.cell(72, colnr).value)) > 0:
name = "%s_%i" % (str(sheet.cell(72, colnr).value), colnr - 3)
print "pomplijn voor %s op %d, %d met naam %s" % (pumping_station.__unicode__(), 72, colnr, name)
if PumpLine.objects.filter(pumping_station=pumping_station, name=name):
pump_line = PumpLine.objects.filter(pumping_station=pumping_station, name=name)[0]
else:
pump_line = PumpLine()
pump_line.pumping_station = pumping_station
pump_line.name = name
parameter = pars["structure_discharge"]
if WaterbalanceTimeserie.objects.filter(parameter=parameter, pump_line_timeserie=pump_line).count() == 0:
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (pump_line.__unicode__()[:30], parameter.name[:15])
)
pump_line.timeserie = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(parameter=parameter, pump_line_timeserie=pump_line)[
0
]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, colnr)
pump_line.save()
# in- en uitlaten niet voor peilhandhaving
inlaat_nr = 0
uitlaat_nr = 0
for row in range(23, 31):
if sheet.cell(row, 1).value in [0] and sheet.cell(row, 2).value in [0]:
pass
elif sheet.cell(row, 1).value == "rekenhart":
pass
else:
name = sheet.cell(row, 0).value
if PumpingStation.objects.filter(open_water=open_water, name=name).count() > 0:
pumping_station = PumpingStation.objects.filter(open_water=open_water, name=name)[0]
else:
pumping_station = PumpingStation()
pumping_station.open_water = open_water
pumping_station.name = name
if row > 27:
pumping_station.into = False
uitlaat_nr += 1
pumping_station.label = labels["uitlaat%i" % uitlaat_nr]
else:
pumping_station.into = True
inlaat_nr += 1
pumping_station.label = labels["inlaat%i" % inlaat_nr]
pumping_station.percentage = 100
pumping_station.computed_level_control = False
pumping_station.max_discharge = None
pumping_station.save()
if PumpLine.objects.filter(pumping_station=pumping_station, name=name):
pump_line = PumpLine.objects.filter(pumping_station=pumping_station, name=name)[0]
else:
pump_line = PumpLine()
pump_line.pumping_station = pumping_station
pump_line.name = pumping_station.name
colnr = row - 13
# as row in range(23, 31), colnr in range(10, 18)
if (not sheet.cell(72, colnr).value == None) and len(str(sheet.cell(72, colnr).value)) > 0:
name = "%s_%i" % (str(sheet.cell(72, colnr).value), colnr - 3)
print "opgedrukte pomplijn voor %s op rij %d, kolom %d met naam %s" % (
pumping_station.__unicode__(),
72,
colnr,
name,
)
if PumpLine.objects.filter(pumping_station=pumping_station, name=name):
pump_line = PumpLine.objects.filter(pumping_station=pumping_station, name=name)[0]
else:
pump_line = PumpLine()
pump_line.pumping_station = pumping_station
pump_line.name = name
parameter = pars["structure_discharge"]
if (
WaterbalanceTimeserie.objects.filter(parameter=parameter, pump_line_timeserie=pump_line).count()
== 0
):
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (pump_line.__unicode__()[:30], parameter.name[:15])
)
pump_line.timeserie = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(
parameter=parameter, pump_line_timeserie=pump_line
)[0]
save_timeserie_into_database(wb_timeserie, sheet, 76, 0, colnr)
pump_line.save()
else:
print "opgedrukte jaarlijkse tijdreeks voor %s met naam %s" % (pumping_station.__unicode__(), name)
# discharge
winter_value = 0
summer_value = 1
if not sheet.cell(row, 1).value in [0, "", None]:
winter_value = float(sheet.cell(row, 1).value)
if not sheet.cell(row, 2).value in [0, "", None]:
summer_value = float(sheet.cell(row, 2).value)
print row, winter_value, summer_value
array_with_values = [[1, 1, winter_value], [4, 1, summer_value], [10, 1, winter_value]]
parameter = pars["structure_discharge"]
if (
WaterbalanceTimeserie.objects.filter(parameter=parameter, pump_line_timeserie=pump_line).count()
== 0
):
wb_timeserie = WaterbalanceTimeserie.objects.create(
parameter=parameter, name="%s: %s" % (pump_line.__unicode__()[:30], parameter.name[:15])
)
pump_line.timeserie = wb_timeserie
else:
wb_timeserie = WaterbalanceTimeserie.objects.filter(
parameter=parameter, pump_line_timeserie=pump_line
)[0]
create_save_yearly_timeserie_into_database(wb_timeserie, array_with_values)
pump_line.save()