def getFormData(self): """Returns an ordered list of (choice label, choice value) for display to the user.""" job_data = [] job_data.append( ('Dataset Category', self.dataset_category) ) job_data.append( ('Dataset', self.dataset) ) if hasText(self.variable): job_data.append( ('Variable', self.variable) ) if hasText(self.geometry): job_data.append( ('Shape Type', self.geometry) ) if self.geometry_id is not None and len(self.geometry_id)>0: job_data.append( ('Shape Geometry', self.geometry_id.replace(",",", ")) ) if hasText(self.latmin): job_data.append( ('Latitude Minimum', self.latmin) ) if hasText(self.latmax): job_data.append( ('Latitude Maximum', self.latmax) ) if hasText(self.lonmin): job_data.append( ('Longitude Minimum', self.lonmin) ) if hasText(self.lonmax): job_data.append( ('Longitude Maximum', self.lonmax) ) if hasText(self.lat): job_data.append( ('Latitude', self.lat) ) if hasText(self.lon): job_data.append( ('Longitude', self.lon) ) job_data.append( ('Start Date Time', self.datetime_start) ) job_data.append( ('Stop Date Time', self.datetime_stop) ) if self.timeregion_month is not None and len(self.timeregion_month)>0: job_data.append( ('Time Region: Months', get_month_string( map(int, self.timeregion_month.split(",")) ) )) if self.timeregion_year is not None and hasText(self.timeregion_year): job_data.append( ('Time Region: Years', self.timeregion_year) ) if self.calc is not None and self.calc != '': job_data.append( ('Calculation', self.calc) ) if self.par1 is not None and self.par1 != '': job_data.append( ('Calculation Parameter 1', self.par1) ) if self.par2 is not None and self.par2 != '': job_data.append( ('Calculation Parameter 2', self.par2) ) if self.par3 is not None and self.par3 != '': job_data.append( ('Calculation Parameter 3', self.par3) ) if self.calc_group is not None and len(self.calc_group)>0: job_data.append( ('Calculation Group', self.calc_group.replace(",",", ")) ) job_data.append( ('Calculate Raw?', self.calc_raw) ) job_data.append( ('Spatial Operation', ocgisChoices(Config.SPATIAL_OPERATION)[self.spatial_operation]) ) job_data.append( ('Aggregate', self.aggregate) ) job_data.append( ('Output Format', ocgisChoices(Config.OUTPUT_FORMAT)[self.output_format]) ) job_data.append( ('File Output Prefix', self.prefix) ) job_data.append( ('Include Auxiliary Files', self.with_auxiliary_files) ) return job_data
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