def check_end_date(form): err = None s_date = form['start_date'] e_date = form['end_date'] #Check valid daterange error if e_date.lower() == 'por': if 'station_id' in form.keys(): return err else: return '%s is not a valid Start Date for a multi-station or grid request!' %str(form['end_date']) s_date = WRCCUtils.date_to_eight(s_date) e_date = WRCCUtils.date_to_eight(e_date) if len(e_date)!=8: return '%s is not a valid date.' %str(form['end_date']) try: int(e_date) except: return '%s is not a valid date.' %str(form['end_date']) #Check month if int(e_date[4:6]) < 1 or int(e_date[4:6]) > 12: return '%s is not a valid date.' %str(form['end_date']) #Check day if int(e_date[6:8]) < 1 or int(e_date[4:6]) > 31: return '%s is not a valid date.' %str(form['end_date']) #Ceck for month length ml = WRCCData.MONTH_LENGTHS[int(e_date[4:6]) - 1] if int(e_date[6:8]) > ml: if str(e_date[4:6]) == '02' or str(e_date[4:6]) == '2': if int(e_date[6:8]) == 29 and WRCCUtils.is_leap_year(e_date[0:4]): return None #return '%s only has %s days. You entered: %s' %(WRCCData.NUMBER_TO_MONTH_NAME[str(e_date[4:6])],'29',str(e_date[6:8])) else: return '%s only has %s days. You entered: %s' %(WRCCData.NUMBER_TO_MONTH_NAME[str(e_date[4:6])],str(ml),str(e_date[6:8])) else: return '%s only has %s days. You entered: %s' %(WRCCData.NUMBER_TO_MONTH_NAME[str(e_date[4:6])],str(ml),str(e_date[6:8])) #Check that start date is ealier than end date if s_date.lower() == 'por': return err try: sd = datetime.datetime(int(s_date[0:4]), int(s_date[4:6].lstrip('0')), int(s_date[6:8].lstrip('0'))) except: pass try: ed = datetime.datetime(int(e_date[0:4]), int(e_date[4:6].lstrip('0')), int(e_date[6:8].lstrip('0'))) except: return '%s is not a valid date.' %form['end_date'] try: if ed < sd: return 'Start Date is later then End Year.' except:pass #Check grid data dates if 'location' in form.keys() or ('data_type' in form.keys() and form['data_type'] == 'grid'): flag = False #Set grid date range #Set grid date range if int(form['grid']) in range(22,42): grid_dr = [['19500101','20991231']] else: grid_dr = WRCCData.GRID_CHOICES[str(form['grid'])][3] #For Prism we need to check if monthy/yearly resolution #and pick proper daterange if 'temporal_resolution' in form.keys() and form['temporal_resolution'] in ['mly','yly'] and str(form['grid']) == '21': grid_dr = WRCCData.PRISM_MLY_YLY[str(form['grid'])][3] for dr in grid_dr: grid_s = WRCCUtils.date_to_datetime(dr[0]) grid_e = WRCCUtils.date_to_datetime(dr[1]) if grid_s <= sd and ed <= grid_e: flag = False break else: if str(dr[1]) == str(grid_dr[-1][1]): flag = True continue if flag: grid_s = WRCCUtils.datetime_to_date(grid_s,'-') grid_e = WRCCUtils.datetime_to_date(grid_e,'-') return 'Valid date range for this grid is: ' + grid_s + ' - ' + grid_e ''' #Limit grid requests to max 10 years for multi point requests if not 'location' in form.keys() and (ed - sd).days > 10 * 366: err = 'Request for more than one grid point are limited to ten years or less! ' +\ 'Please adjust your dates accordingly.' return err ''' #Check for unreasonable start and end dates #for station data requests data_type = WRCCUtils.get_data_type(form) unreasonable = False if data_type == 'station' and form['app_name'] == 'multi_lister': #Limit multi station requests to 75 years if not 'station_id' in form.keys() and (ed - sd).days > 75 * 366: err = 'Request for more than one station are limited to 75 years or less! ' +\ 'Please adjust your dates accordingly.' #Check that station data end date is today or earlier if 'station_id' in form.keys() or ('data_type' in form.keys() and form['data_type'] == 'station'): if e_date.lower() != 'por': today = WRCCUtils.format_date_string(WRCCUtils.set_back_date(0),'-') if WRCCUtils.date_to_datetime(e_date) > WRCCUtils.date_to_datetime(today): return 'Not a valid End Date. Date should be ' + today +' or ealier.' return err
def set_initial(request,app_name): ''' Set html form Args: request: django request object app_name: application, one of single_lister, multi_lister, station_finder map_overlay, sf_download spatial_summary, temporal_summary monthly_summary, climatology data_comparison, liklihood, data_download Returns: two dictionaries initial: form input ''' initial = {} initial['app_name'] = app_name Get = set_GET(request) Getlist = set_GET_list(request) #Set area type: station_id(s), location, basin,... area_type = None if app_name in ['single_lister','climatology','monthly_summary', 'seasonal_summary','intraannual']: initial['area_type'] = Get('area_type','station_id') elif app_name in ['data_comparison']: initial['area_type'] = 'location' else: initial['area_type'] = Get('area_type','state') #Set todays date parameters initial['today_year'] = today_year initial['today_month'] = today_month initial['today_day'] = today_day #Set area depending on area_type if app_name == 'data_comparison': location = Get('location',None) station_id = Get('station_id',None) if location is None and station_id is not None: #Link from station finder, #set location to station lon, lat if we are stn_id, stn_name = WRCCUtils.find_id_and_name(station_id,settings.MEDIA_DIR + '/json/US_station_id.json') meta = AcisWS.StnMeta({'sids':stn_id,'meta':'ll'}) ll = None ll = str(meta['meta'][0]['ll'][0]) + ',' + str(meta['meta'][0]['ll'][1]) initial['location'] = ll else: initial[str(initial['area_type'])] = Get(str(initial['area_type']), WRCCData.AREA_DEFAULTS[str(initial['area_type'])]) else: initial[str(initial['area_type'])] = Get(str(initial['area_type']), WRCCData.AREA_DEFAULTS[str(initial['area_type'])]) initial['area_type_label'] = WRCCData.DISPLAY_PARAMS[initial['area_type']] initial['area_type_value'] = initial[str(initial['area_type'])] #Set data type and map parameters if initial['area_type'] in ['station_id','station_ids']: initial['autofill_list'] = 'US_' + initial['area_type'] initial['data_type'] = 'station' elif initial['area_type'] in ['location','locations']: initial['data_type'] = 'grid' elif initial['area_type'] in ['basin','county_warning_area','county','climate_division','state','shape']: initial['autofill_list'] = 'US_' + initial['area_type'] initial['data_type'] = Get('data_type','station') if app_name in ['temporal_summary','monthly_spatial_summary']: initial['data_type'] = 'grid' if app_name in ['station_finder','sf_download']: initial['data_type'] = 'station' #Grid if app_name not in ['station_finder', 'sf_download']: initial['grid'] = Get('grid','1') #Set up map parameters initial['overlay_state'] = Get('overlay_state','nv').lower() initial['host'] = settings.HOST #Create kml files for oerlay state for at in ['basin', 'county', 'county_warning_area', 'climate_division']: kml_file_path = create_kml_file(at, initial['overlay_state']) if initial['area_type'] == at: initial['kml_file_path'] = kml_file_path #If station_finder download, we need to set the station_ids #and override the original area type fields if app_name == 'sf_download': #delete old are type del initial[str(initial['area_type'])] #set new area params initial['station_ids'] = str(Get('station_ids_string','')) initial['station_ids_string'] = initial['station_ids'] initial['area_type'] = 'station_ids' initial['area_type_label'] = 'Station IDs' initial['area_type_value'] = initial['station_ids'] initial['station_json'] = Get('station_json','') #If station finder set hidden var station_ids_string for results if app_name == 'station_finder': initial['station_ids_string'] = str(Get('station_ids_string','')) #Set element(s)--> always as list if multiple if app_name == 'map_overlay': initial['elements'] = Get('elements','maxt,mint,pcpn').split(',') initial['elements_str'] = ','.join(initial['elements']) elif app_name in ['monthly_spatial_summary','monthly_summary','data_comparison', 'seasonal_summary','intraannual']: initial['element'] = Get('element',None) if initial['element'] is not None and len(initial['element'].split(',')) > 1: initial['element'] = str(initial['element'].split(',')[0]) if initial['element'] is None: #Link from station finder initial['element'] = Get('elements','pcpn') if len(initial['element'].split(',')) > 1: initial['element'] = str(initial['element'].split(',')[0]) else: els = Getlist('elements',None) if not els: els = Get('elements',None) if not els: els = ['maxt','mint','pcpn'] elif isinstance(els, basestring): els = els.replace(' ','').split(',') elif isinstance(els, list) and len(els) == 1 and len(els[0].split(',')) > 1: els = els[0].replace(' ','').split(',') elif isinstance(els, basestring): els = els.replace(' ','').split(',') initial['elements'] = [str(el) for el in els] initial['elements_str'] = ','.join(initial['elements']) #Set units initial['units'] = Get('units','english') #Set degree days if app_name not in ['station_finder', 'monthly_summary', 'climatology', 'data_comparison']: initial['add_degree_days'] = Get('add_degree_days', 'F') if initial['units'] == 'metric': initial['degree_days'] = Get('degree_days', 'gdd13,hdd21').replace(', ', ',') else: initial['degree_days'] = Get('degree_days', 'gdd55,hdd70').replace(', ',',') #Set dates #if 'grid' in initial.keys(): sd, ed, sd_fut, ed_fut = set_min_max_dates(initial) if app_name in ['monthly_summary','climatology']: initial['start_year'] = Get('start_year', None) if initial['start_year'] is None: #Link from station finder initial['start_year'] = Get('start_date', '9999')[0:4] if initial['start_year'] == '9999': if 'location' in initial.keys():initial['start_year'] = sd[0:4] else:initial['start_year'] = 'POR' initial['end_year'] = Get('end_year', None) if initial['end_year'] is None: #Link from station finder initial['end_year'] = Get('end_date', '9999')[0:4] if initial['end_year'] == '9999': if 'location' in initial.keys():initial['end_year'] = ed[0:4] else:initial['end_year'] = 'POR' initial['min_year'] = Get('min_year',sd[0:4]) initial['max_year'] = Get('max_year', ed[0:4]) initial['min_year_fut'] = sd_fut[0:4] initial['max_year_fut'] = ed_fut[0:4] elif app_name == 'monthly_spatial_summary': initial['year'] = Get('year',str(int(ed[0:4]) - 1)) initial['min_year'] = Get('min_year',sd[0:4]) initial['max_year'] = Get('max_year', ed[0:4]) initial['min_year_fut'] = sd_fut[0:4] initial['max_year_fut'] = ed_fut[0:4] initial['season'] = Get('season','1') elif app_name in ['seasonal_summary', 'intraannual']: initial['start_year'] = Get('start_year','POR') initial['end_year'] = Get('end_year','POR') initial['start_month'] = Get('start_month', '1') initial['start_day'] = Get('start_day', '1') initial['min_year_fut'] = sd_fut[0:4] initial['max_year_fut'] = ed_fut[0:4] if app_name == 'seasonal_summary': initial['min_year'] = Get('min_year',sd[0:4]) initial['max_year'] = Get('max_year', ed[0:4]) initial['end_month'] = Get('end_month', '1') initial['end_day'] = Get('end_day', '31') if app_name in ['intraannual']: if initial['start_year'].lower() != 'por': initial['min_year'] = initial['start_year'] else: initial['min_year'] = Get('min_year',sd[0:4]) if initial['end_year'].lower() != 'por': initial['max_year'] = initial['end_year'] else: initial['max_year'] = Get('max_year', ed[0:4]) #Plotting vars initial['show_climatology'] = Get('show_climatology','F') initial['show_percentile_5'] = Get('show_percentile_5','F') initial['show_percentile_10'] = Get('show_percentile_10','F') initial['show_percentile_25'] = Get('show_percentile_25','F') initial['target_year'] = Get('target_year_figure', None) if initial['target_year'] is None: initial['target_year'] = Get('target_year_form',initial['min_year']) if initial['element'] in ['pcpn','snow','evap','pet']: initial['calculation'] = Get('calculation','cumulative') else: initial['calculation'] = Get('calculation','values') else: initial['start_date'] = Get('start_date', WRCCUtils.format_date_string(fourtnight,'-')) initial['end_date'] = Get('end_date', WRCCUtils.format_date_string(yesterday,'-')) #data windows and flags sw = '01-01'; ew = '01-31' if 'start_date' in initial.keys() and 'end_date' in initial.keys(): if initial['start_date'] and initial['end_date']: sw, ew = WRCCUtils.set_start_end_window(initial['start_date'],initial['end_date']) if app_name in ['single_lister', 'multi_lister','map_overlay']: initial['start_window'] = Get('start_window', sw) initial['end_window'] = Get('end_window',ew) initial['temporal_resolution'] = Get('temporal_resolution','dly') initial['show_flags'] = Get('show_flags', 'F') initial['show_observation_time'] = Get('show_observation_time', 'F') if app_name in ['station_finder']: initial['start_window'] = Get('start_window', sw) initial['end_window'] = Get('end_window',ew) #data summaries if app_name in ['monthly_spatial_summary','temporal_summary', 'seasonal_summary']: initial['data_summary'] = Get('data_summary', 'temporal_summary') elif app_name in ['spatial_summary','multi_lister','map_overlay']: initial['data_summary'] = Get('data_summary', 'spatial_summary') else: initial['data_summary'] = Get('data_summary', 'none') if app_name in ['temporal_summary', 'monthly_spatial_summary','seasonal_summary', 'sf_download']: if 'element' in initial.keys() and initial['element'] in ['pcpn','snow','evap','pet']: initial['temporal_summary'] = Get('temporal_summary', 'sum') else: initial['temporal_summary'] = Get('temporal_summary', 'mean') else: initial['temporal_summary'] = Get('temporal_summary', 'mean') if app_name in ['single_lister', 'multi_lister','spatial_summary','sf_download','map_overlay']: initial['spatial_summary'] = Get('spatial_summary', 'mean') #download options if app_name in ['single_lister','multi_lister']: initial['data_format'] = Get('data_format', 'html') else: initial['data_format'] = Get('data_format', 'xl') if app_name in ['single_lister','multi_lister','station_finder','sf_download','map_overlay']: initial['output_format'] = Get('output_format', 'verbose') initial['delimiter'] = Get('delimiter', 'space') initial['output_file_name'] = Get('output_file_name', 'Output') initial['user_name'] = Get('user_name', 'Your Name') initial['user_email'] = Get('user_email', 'Your Email') #Set app specific params if app_name == 'monthly_spatial_summary': initial['area_reduce'] = Get('area_reduce','climate_division') initial['area_statistic'] = Get('area_statistic','mean') if app_name in ['multi_lister','spatial_summary','station_finder']: initial['feature_id'] = 1 if app_name in ['monthly_summary','climatology','sf_link']: initial['max_missing_days'] = Get('max_missing_days', '5') if app_name in ['station_finder','map_overlay','sf_download']: initial['elements_constraints'] = Get('elements_constraints', 'all') initial['dates_constraints'] = Get('dates_constraints', 'all') initial['display'] = Get('display', 'map') all_meta = ['name','state','ll','elev','ids','networks','valid_daterange'] initial['metadata_keys'] = Getlist('metadata_keys',all_meta) initial['metadata_keys_str'] = ','.join(initial['metadata_keys']) initial['metadata_names'] = [WRCCData.DISPLAY_PARAMS[meta] for meta in initial['metadata_keys']] initial['metadata_names_str'] = ','.join(initial['metadata_names']) if app_name in ['monthly_summary','sf_link']: initial['start_month'] = Get('start_month','01') if initial['element'] in ['pcpn','snow','evap','pet']: initial['statistic'] = Get('statistic','msum') else: initial['statistic'] = Get('statistic','mave') initial['less_greater_or_between'] = Get('less_greater_or_between','b') initial['threshold_low_for_between'] = Get('threshold_low_for_between',0.01) initial['threshold_high_for_between'] = Get('threshold_high_for_between',0.1) initial['threshold_for_less_than'] = Get('threshold_for_less_than',1) initial['threshold_for_greater_than'] = Get('threshold_for_greater_than',1) initial['departures_from_averages'] = Get('departures_from_averages','F') initial['frequency_analysis'] = Get('frequency_analysis','F') #Set initial plot options initial['chart_summary'] = Get('chart_summary','individual') #initial['plot_months'] = Get('plot_months','0,1') if app_name == 'monthly_summary': initial['base_temperature'] = Get('base_temperature','65') initial['statistic_period'] = Get('statistic_period','monthly') if app_name in ['climatology','sf_link']: initial['summary_type'] = Get('summary_type', 'all') if app_name == 'temporal_summary': initial['show_plot_opts'] = Get('show_plot_opts','T') initial['image_size'] = Get('image_size', 'medium') initial['level_number'] = Get('level_number', '5') initial['cmap'] = Get('cmap', 'rainbow') initial['cmaps'] = WRCCData.CMAPS initial['map_ol'] = Get('map_ol', 'state') initial['interpolation'] = Get('interpolation', 'cspline') initial['projection'] = Get('projection', 'lcc') #Ploting options for all pages that have charts if app_name in ['monthly_summary', 'spatial_summary','seasonal_summary', 'intraannual','data_comparison','map_overlay']: if app_name in ['spatial_summary','monthly_summary','intraannual','map_overlay']: if app_name in ['spatial_summary','monthly_spatial_summary','map_overlay']: shown_indices = ','.join([str(idx) for idx in range(len(initial['elements']))]) elif app_name == 'intraannual': shown_indices = str(int(initial['target_year']) - int(initial['min_year'])) else: shown_indices = '0' initial['chart_indices_string'] = Get('chart_indices_string',shown_indices) initial['chart_type'] = Get('chart_type','spline') initial['show_running_mean'] = Get('show_running_mean','F') if app_name in ['monthly_summary', 'seasonal_summary']: initial['running_mean_years'] = Get('running_mean_years',5) else: initial['running_mean_days'] = Get('running_mean_days',9) initial['show_average'] = Get('show_average','F') if app_name in ['monthly_summary']: initial['show_range'] = Get('show_range','F') initial['form_options'] = WRCCData.SCENIC_FORM_OPTIONS[app_name] return initial