def get_context_data(self, form, **kwargs):
context = super(ClimateTranslatorWizard, self).get_context_data(form=form, **kwargs)
# before rendering of first form: send data and geometry choices
if self.steps.current == self.steps.first:
#context.update({'datasets': json.dumps(ocgisDatasets.datasets) }) # FIXME ?
context.update({'geometries': json.dumps(ocgisGeometries.geometries) })
elif self.steps.current == "1": # note: string type
context.update({'calculations': json.dumps(ocgisCalculations.calcs) })
# before very last view: create summary of user choices
elif self.steps.current == self.steps.last:
job_data = {}
# retrieve form data for all previous views
for step in self.steps.all:
cleaned_data = self.get_cleaned_data_for_step(step)
# first form
if step == '0':
job_data['data_type'] = cleaned_data['data_type']
if cleaned_data.has_key('long_name'):
job_data['long_name'] = cleaned_data['long_name']
if cleaned_data.has_key('time_frequency'):
job_data['time_frequency'] = cleaned_data['time_frequency']
if cleaned_data.has_key("dataset_category"):
job_data['dataset_category'] = cleaned_data['dataset_category']
if cleaned_data.has_key("dataset"):
job_data['dataset'] = cleaned_data['dataset']
if cleaned_data.has_key("dataset_category2"):
job_data['dataset_category2'] = cleaned_data['dataset_category2']
if cleaned_data.has_key("package_name"):
job_data['package_name'] = cleaned_data['package_name']
if cleaned_data.has_key('geometry_category') and hasText(cleaned_data['geometry_category']):
job_data['geometry_category'] = cleaned_data['geometry_category']
if cleaned_data.has_key('geometry_subcategory') and hasText(cleaned_data['geometry_subcategory']):
job_data['geometry_subcategory'] = cleaned_data['geometry_subcategory']
if cleaned_data.has_key('geometry_id') and len( cleaned_data['geometry_id'] )>0:
job_data['geometry_id'] = formatListForDisplay(cleaned_data['geometry_id'])
if cleaned_data.has_key('latmin') and cleaned_data['latmin'] is not None:
job_data['latmin'] = float( cleaned_data['latmin'] )
if cleaned_data.has_key('latmax') and cleaned_data['latmax'] is not None:
job_data['latmax'] = float( cleaned_data['latmax'] )
if cleaned_data.has_key('lonmin') and cleaned_data['lonmin'] is not None:
job_data['lonmin'] = float( cleaned_data['lonmin'] )
if cleaned_data.has_key('lonmax') and cleaned_data['lonmax'] is not None:
job_data['lonmax'] = float( cleaned_data['lonmax'] )
if cleaned_data.has_key('lat') and cleaned_data['lat'] is not None:
job_data['lat'] = float( cleaned_data['lat'] )
if cleaned_data.has_key('lon') and cleaned_data['lon'] is not None:
job_data['lon'] = float( cleaned_data['lon'] )
if cleaned_data.has_key('agg_selection'):
job_data['agg_selection'] = bool(cleaned_data['agg_selection'])
if cleaned_data.has_key('datetime_start') and cleaned_data['datetime_start'] is not None:
job_data['datetime_start'] = cleaned_data['datetime_start']
if cleaned_data.has_key('datetime_stop') and cleaned_data['datetime_stop'] is not None:
job_data['datetime_stop'] = cleaned_data['datetime_stop']
if cleaned_data.has_key('timeregion_month') and cleaned_data['timeregion_month'] is not None:
job_data['timeregion_month'] = get_month_string( cleaned_data['timeregion_month'] )
if cleaned_data.has_key('timeregion_year') and cleaned_data['timeregion_year'] is not None:
job_data['timeregion_year'] = cleaned_data['timeregion_year']
# second form
if step == '1':
if cleaned_data.has_key('calc') and cleaned_data['calc'] is not None and cleaned_data['calc'] != '':
job_data['calc'] = ocgisCalculations.getCalc(cleaned_data['calc'])["name"]
if cleaned_data.has_key('par1') and cleaned_data['par1'] is not None:
job_data['par1'] = cleaned_data['par1']
if cleaned_data.has_key('par2') and cleaned_data['par2'] is not None:
job_data['par2'] = cleaned_data['par2']
if cleaned_data.has_key('par3') and cleaned_data['par3'] is not None:
job_data['par3'] = cleaned_data['par3']
if cleaned_data.has_key('calc_group'):
calc_groups =[]
for group in cleaned_data['calc_group']:
calc_groups.append(ocgisChoices(Config.CALCULATION_GROUP)[group])
job_data['calc_group'] = formatListForDisplay(calc_groups)
if cleaned_data.has_key('calc_raw'):
job_data['calc_raw'] = bool(cleaned_data['calc_raw'])
if cleaned_data.has_key('spatial_operation'):
job_data['spatial_operation'] = ocgisChoices(Config.SPATIAL_OPERATION)[cleaned_data['spatial_operation']]
if cleaned_data.has_key('aggregate'):
job_data['aggregate'] = bool(cleaned_data['aggregate'])
if cleaned_data.has_key('output_format'):
job_data['output_format'] = ocgisChoices(Config.OUTPUT_FORMAT)[cleaned_data['output_format']]
if cleaned_data.has_key('prefix'):
job_data['prefix'] = cleaned_data['prefix']
if cleaned_data.has_key('with_auxiliary_files'):
job_data['with_auxiliary_files'] = bool(cleaned_data['with_auxiliary_files'])
context.update({'job_data': job_data})
return context
def get_context_data(self, form, **kwargs):
context = super(OpenClimateGisWizard, self).get_context_data(form=form, **kwargs)
# before rendering of first form: send data and geometry choices
if self.steps.current == self.steps.first:
context.update({"datasets": json.dumps(ocgisDatasets.datasets)})
context.update({"geometries": json.dumps(ocgisGeometries.geometries)})
elif self.steps.current == "1": # note: string type
context.update({"calculations": json.dumps(ocgisCalculations.calcs)})
# before very last view: create summary of user choices
elif self.steps.current == self.steps.last:
job_data = {}
# retrieve form data for all previous views
for step in self.steps.all:
if step != self.steps.current:
cleaned_data = self.get_cleaned_data_for_step(step)
if cleaned_data.has_key("dataset_category"):
job_data["dataset_category"] = cleaned_data["dataset_category"]
if cleaned_data.has_key("dataset"):
job_data["dataset"] = cleaned_data["dataset"]
if cleaned_data.has_key("variable"):
job_data["variable"] = cleaned_data["variable"]
if cleaned_data.has_key("geometry") and hasText(cleaned_data["geometry"]):
job_data["geometry"] = cleaned_data["geometry"]
if cleaned_data.has_key("geometry_id") and len(cleaned_data["geometry_id"]) > 0:
job_data["geometry_id"] = formatListForDisplay(cleaned_data["geometry_id"])
if cleaned_data.has_key("latmin") and cleaned_data["latmin"] is not None:
job_data["latmin"] = float(cleaned_data["latmin"])
if cleaned_data.has_key("latmax") and cleaned_data["latmax"] is not None:
job_data["latmax"] = float(cleaned_data["latmax"])
if cleaned_data.has_key("lonmin") and cleaned_data["lonmin"] is not None:
job_data["lonmin"] = float(cleaned_data["lonmin"])
if cleaned_data.has_key("lonmax") and cleaned_data["lonmax"] is not None:
job_data["lonmax"] = float(cleaned_data["lonmax"])
if cleaned_data.has_key("lat") and cleaned_data["lat"] is not None:
job_data["lat"] = float(cleaned_data["lat"])
if cleaned_data.has_key("lon") and cleaned_data["lon"] is not None:
job_data["lon"] = float(cleaned_data["lon"])
if cleaned_data.has_key("datetime_start") and cleaned_data["datetime_start"] is not None:
job_data["datetime_start"] = cleaned_data["datetime_start"]
if cleaned_data.has_key("datetime_stop") and cleaned_data["datetime_stop"] is not None:
job_data["datetime_stop"] = cleaned_data["datetime_stop"]
if cleaned_data.has_key("timeregion_month") and cleaned_data["timeregion_month"] is not None:
job_data["timeregion_month"] = get_month_string(cleaned_data["timeregion_month"])
if cleaned_data.has_key("timeregion_year") and cleaned_data["timeregion_year"] is not None:
job_data["timeregion_year"] = cleaned_data["timeregion_year"]
if cleaned_data.has_key("calc") and cleaned_data["calc"] is not None and cleaned_data["calc"] != "":
job_data["calc"] = ocgisCalculations.getCalc(cleaned_data["calc"])["name"]
if cleaned_data.has_key("par1") and cleaned_data["par1"] is not None:
job_data["par1"] = cleaned_data["par1"]
if cleaned_data.has_key("par2") and cleaned_data["par2"] is not None:
job_data["par2"] = cleaned_data["par2"]
if cleaned_data.has_key("par3") and cleaned_data["par3"] is not None:
job_data["par3"] = cleaned_data["par3"]
if cleaned_data.has_key("calc_group"):
calc_groups = []
for group in cleaned_data["calc_group"]:
calc_groups.append(ocgisChoices(Config.CALCULATION_GROUP)[group])
job_data["calc_group"] = formatListForDisplay(calc_groups)
if cleaned_data.has_key("calc_raw"):
job_data["calc_raw"] = bool(cleaned_data["calc_raw"])
if cleaned_data.has_key("spatial_operation"):
job_data["spatial_operation"] = ocgisChoices(Config.SPATIAL_OPERATION)[
cleaned_data["spatial_operation"]
]
if cleaned_data.has_key("aggregate"):
job_data["aggregate"] = bool(cleaned_data["aggregate"])
if cleaned_data.has_key("output_format"):
job_data["output_format"] = ocgisChoices(Config.OUTPUT_FORMAT)[cleaned_data["output_format"]]
if cleaned_data.has_key("prefix"):
job_data["prefix"] = cleaned_data["prefix"]
if cleaned_data.has_key("with_auxiliary_files"):
job_data["with_auxiliary_files"] = bool(cleaned_data["with_auxiliary_files"])
context.update({"job_data": job_data})
return context
