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
