def home(request):
"""
Controller for the app home page.
"""
# Date Picker Options
date_picker = DatePicker(name='date1',
display_text='Date',
autoclose=True,
format='MM d, yyyy',
start_date='2/15/2014',
start_view='decade',
today_button=True,
initial='February 15, 2014')
date_picker_error = DatePicker(name='data2',
display_text='Date',
initial='10/2/2013',
disabled=True,
error='Here is my error text.')
context = {
'date_picker': date_picker,
'date_picker_error': date_picker_error,
}
return render(request, 'mapapp/home.html', context)\
def home(request):
"""
Controller for the app home page.
"""
start_date = DatePicker(
name='start_date',
display_text='Start Date',
autoclose=True,
format='MM d, yyyy',
start_date='1/1/2003',
end_date=time.strftime("%m/%d/%Y"),
start_view='decade',
today_button=True,
initial='January 1, 2003'
)
end_date = DatePicker(
name='end_date',
display_text='End Date',
autoclose=True,
format='MM d, yyyy',
start_date='1/1/2003',
end_date=time.strftime("%m/%d/%Y"),
start_view='decade',
today_button=True,
initial='January 1, 2018'
)
context = {
'start_date':start_date,
'end_date':end_date
}
return render(request, 'sma_africa/home.html', context)
def modis(request):
"""
Controller for the app home page.
"""
time_series_plot = LinePlot(height='500px',
width='500px',
engine='highcharts',
title='Change in Snowpack',
subtitle='Plot Subtitle',
spline=True,
x_axis_title='Time',
x_axis_units='Month',
y_axis_title='Depth',
y_axis_units='Inches',
series=[
{
'name':
'Snowpack Change',
'color':
'#0066ff',
'marker': {
'enabled': False
},
'data': [[0, 5], [10, -70],
[20, -86.5], [30, -66.5],
[40, -32.1], [50, -12.5],
[60, -47.7], [70, -85.7],
[80, -106.5]]
},
])
add_region_button = Button(display_text='Add Region',
name='add-region-button',
icon='glyphicon glyphicon-plus',
style='success')
# Date Picker Options
date_picker = DatePicker(name='date1',
display_text='Date',
autoclose=True,
format='MM d, yyyy',
start_date='2/15/2014',
start_view='decade',
today_button=True,
initial='February 15, 2014')
date_picker_error = DatePicker(name='data2',
display_text='Date',
initial='10/2/2013',
disabled=True,
error='Here is my error text.')
context = {
"time_series_plot": time_series_plot,
"add_region_button": add_region_button,
'date_picker': date_picker,
'date_picker_error': date_picker_error,
}
return render(request, 'the_snowmen_snowpack_viewer/modis.html')
def home(request):
"""
Controller for the app home page.
"""
date_picker = DatePicker(
name='date',
display_text='Start Date',
autoclose=True,
format='mm/dd/yyyy',
start_view='decade',
start_date='01/01/2011',
end_date='12/31/2011',
)
start_date_picker = DatePicker(
name='start_date_picker',
display_text='Start Date Range',
autoclose=True,
format='mm/dd/yyyy',
start_view='decade',
start_date='01/01/2011',
end_date='12/31/2011',
)
end_date_picker = DatePicker(
name='end_date_picker',
display_text='End Date Range',
autoclose=True,
format='mm/dd/yyyy',
start_view='decade',
start_date='01/01/2011',
end_date='12/31/2011',
)
pick_date_range = Button(
display_text='Choose this date range:',
name='pick_date_range',
style='success',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Save'
}
)
context = {
'pick_date_range': pick_date_range,
'date_picker': date_picker,
'start_date_picker': start_date_picker,
'end_date_picker': end_date_picker,
}
return render(request, 'flood_inu/home.html', context)
def export(request):
"""
Controller for the Export page.
"""
start_date_input = DatePicker(
name='start_date',
display_text='Start Date',
autoclose=True,
format='MM d, yyyy',
start_date='8/24/2020',
start_view='decade',
today_button=True,
attributes={'class': 'date-input'},
)
end_date_input = DatePicker(
name='end_date',
display_text='End Date',
autoclose=True,
format='MM d, yyyy',
start_date='8/24/2020',
start_view='decade',
today_button=True,
)
cancel_button = Button(
display_text='Cancel',
name='cancel-button',
icon='glyphicon glyphicon-remove',
style='danger',
href=reverse('project_inventory:home')
)
submit_button = Button(
display_text='Submit',
name='submit-button',
style='success',
icon='glyphicon glyphicon-plus',
href=reverse('project_inventory:home')
)
context = {
'start_date_input': start_date_input,
'end_date_input': end_date_input,
'cancel_button': cancel_button,
'submit_button':submit_button,
'can_add_projects': has_permission(request, 'add_projects')
}
return render(request, 'project_inventory/export.html', context)
def map(request):
"""
Controller for map page.
"""
#configure the date picker
date_picker = DatePicker(
display_text='Date',
name='endDate',
autoclose=True,
format='yyyy-mm-dd',
start_date='2013-01-01',
today_button=True,
initial=datetime.datetime.today().strftime("%Y-%m-%d"))
days_picker = {
'display_text': 'Number of days:',
'name': 'inputDays',
'placeholder': '100'
}
# Pre-populate lat-picker and lon_picker from model
lat_picker = {'display_text': 'Latitude:', 'name': 'inputLat'}
lon_picker = {'display_text': 'Longitude:', 'name': 'inputLon'}
# Pass variables to the template via the context dictionary
context = {
'date_picker': date_picker,
'days_picker': days_picker,
'lon_picker': lon_picker,
'lat_picker': lat_picker
}
return render(request, 'snow_inspector/openlayers_map.html', context)
def gizmos(request):
"""
Controller for the app home page.
"""
date_picker = DatePicker(name='date',
display_text='Date',
autoclose=True,
format='MM d, yyyy',
start_date='2/15/2014',
start_view='decade',
today_button=True,
initial='February 15, 2017')
text_input = TextInput(display_text='Text',
name='inputAmount',
placeholder='e.g.: 10.00',
prepend='$')
slider1 = RangeSlider(display_text='Slider 1',
name='slider1',
min=0,
max=100,
initial=50,
step=1)
context = {
'date_picker': date_picker,
'text_input': text_input,
'slider1': slider1,
}
return render(request, 'map_app_lippold/gizmos.html', context)
def create_plot_ctrls(model, controller):
"""
Function that creates and return the "start_date", "end_hour", and "plot_button" elements
"""
differentiator = 1 if controller == 'plot' else 2
start_date = DatePicker(display_text=False,
name='startDate%s' % differentiator,
autoclose=True,
format='mm/dd/yyyy',
start_date=get_model_fences()[model]['start_date'],
end_date=get_model_fences()[model]['end_date'],
start_view=0,
classes='startDate',
attributes='onchange=oc_sten_dt("startDate%s");' %
differentiator)
end_date = DatePicker(display_text=False,
name='endDate%s' % differentiator,
autoclose=True,
format='mm/dd/yyyy',
start_date=get_model_fences()[model]['start_date'],
end_date=get_model_fences()[model]['end_date'],
start_view=0,
classes='endDate',
attributes='onchange=oc_sten_dt("endDate%s");' %
differentiator)
plot_button = Button(display_text='Plot',
name=controller,
style='',
icon='',
href='',
submit=False,
disabled=False,
attributes='onclick=createPlot(this.name);',
classes='btn-plot')
return [start_date, end_date, plot_button]
def add_dam(request):
"""
Controller for the Add Dam page.
"""
# Define form gizmos
name_input = TextInput(display_text='Name', name='name')
owner_input = SelectInput(display_text='Owner',
name='owner',
multiple=False,
options=[('Reclamation', 'Reclamation'),
('Army Corp', 'Army Corp'),
('Other', 'Other')],
initial=['Reclamation'])
river_input = TextInput(display_text='River',
name='river',
placeholder='e.g.: Mississippi River')
date_built = DatePicker(name='date-built',
display_text='Date Built',
autoclose=True,
format='MM d, yyyy',
start_view='decade',
today_button=True,
initial='February 15, 2017')
add_button = Button(display_text='Add',
name='add-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-dam-form'},
submit=True)
cancel_button = Button(display_text='Cancel',
name='cancel-button',
href=reverse('dam_inventory:home'))
context = {
'name_input': name_input,
'owner_input': owner_input,
'river_input': river_input,
'date_built_input': date_built,
'add_button': add_button,
'cancel_button': cancel_button,
}
return render(request, 'dam_inventory/add_dam.html', context)
def mapview(request):
"""
map view page for my app
"""
toggle_switch_DEM = ToggleSwitch(display_text='Utah DEM',
name='DEM_toggle',
on_label='Yes',
off_label='No',
on_style='success',
off_style='danger',
initial=True,
size='large')
toggle_switch_road = ToggleSwitch(display_text='Roads',
name='road_toggle',
on_label='Yes',
off_label='No',
on_style='success',
off_style='danger',
initial=True,
size='large')
date_picker = DatePicker(name='date1',
display_text='Prediction Date',
autoclose=True,
format='MM d, yyyy',
start_date='3/6/2018',
start_view='month',
today_button=True,
initial='March 6, 2018')
distance_slider = RangeSlider(display_text='Distance of Interest (km)',
name='distance_slider',
min=0,
max=50,
initial=25,
step=5)
context = {
'toggle_switch_DEM': toggle_switch_DEM,
'toggle_switch_road': toggle_switch_road,
'date_picker': date_picker,
'distance_slider': distance_slider
}
return render(request, 'jacobmapapp/mapview.html', context)
def mapview(request):
"""
Controller for the app map page.
"""
time_slider = RangeSlider(display_text='Time of Day',
name='time_slider',
min=0,
max=24,
initial=12,
step=1
)
adjust_slider = RangeSlider(display_text='Air Quality Adjustment',
name='slider2',
min=-5,
max=5,
initial=0,
step=0.5,
)
search_input = TextInput(display_text='Location Search',
name = 'search_input',
icon_append = 'glyphicon glyphicon-search',
)
date_picker = DatePicker(name='date_picker',
display_text='Date',
autoclose=True,
format='MM d, yyyy',
start_date='03/05/18',
start_view='decade',
today_button=True,
initial='March 5, 2018'
)
context = {
'time_slider': time_slider,
'adjust_slider': adjust_slider,
'search_input': search_input,
'date_picker': date_picker,
}
return render(request, 'mapapp_gibbons/mapview.html', context)
def create_map_date_ctrls(model):
"""
Function that creates and return the "select_date", "select_hour", and "Display map" elements
"""
select_date = DatePicker(
display_text=False,
name='plot_date',
autoclose=True,
format='mm/dd/yyyy',
start_date=get_model_fences()[model]['start_date'],
end_date=get_model_fences()[model]['end_date'],
start_view=0,
attributes='onchange=oc_map_dt();',
classes='')
select_hour = SelectInput(display_text='',
name='plot_hour',
multiple=False,
original=True,
options=[('00:00', '00'), ('01:00', '01'),
('02:00', '02'), ('03:00', '03'),
('04:00', '04'), ('05:00', '05'),
('06:00', '06'), ('07:00', '07'),
('08:00', '08'), ('09:00', '09'),
('10:00', '10'), ('11:00', '11'),
('12:00', '12'), ('13:00', '13'),
('14:00', '14'), ('15:00', '15'),
('16:00', '16'), ('17:00', '17'),
('18:00', '18'), ('19:00', '19'),
('20:00', '20'), ('21:00', '21'),
('22:00', '22'), ('23:00', '23')],
initial=['00:00'],
attributes='onchange=oc_map_dt();',
classes='')
return [select_date, select_hour]
def add_dam(request):
"""
Controller for the Add Dam page.
"""
# Default Values
name = ''
owner = 'Reclamation'
river = ''
date_built = ''
location = ''
# Errors
name_error = ''
owner_error = ''
river_error = ''
date_error = ''
location_error = ''
# Handle form submission
if request.POST and 'add-button' in request.POST:
# Get values
has_errors = False
name = request.POST.get('name', None)
owner = request.POST.get('owner', None)
river = request.POST.get('river', None)
date_built = request.POST.get('date-built', None)
location = request.POST.get('geometry', None)
# Validate
if not name:
has_errors = True
name_error = 'Name is required.'
if not owner:
has_errors = True
owner_error = 'Owner is required.'
if not river:
has_errors = True
river_error = 'River is required.'
if not date_built:
has_errors = True
date_error = 'Date Built is required.'
if not location:
has_errors = True
location_error = 'Location is required.'
if not has_errors:
# Get value of max_dams custom setting
max_dams = app.get_custom_setting('max_dams')
# Query database for count of dams
Session = app.get_persistent_store_database('primary_db',
as_sessionmaker=True)
session = Session()
num_dams = session.query(Dam).count()
user_id = request.user.id
# Only add the dam if custom setting doesn't exist or we have not exceed max_dams
if not max_dams or num_dams < max_dams:
add_new_dam(location=location,
name=name,
owner=owner,
river=river,
date_built=date_built,
user_id=user_id)
else:
messages.warning(
request,
'Unable to add dam "{0}", because the inventory is full.'.
format(name))
new_num_dams = session.query(Dam).count()
if new_num_dams > num_dams:
channel_layer = get_channel_layer()
async_to_sync(channel_layer.group_send)("notifications", {
"type": "dam_notifications",
"message": "New Dam"
})
return redirect(reverse('dam_inventory:home'))
messages.error(request, "Please fix errors.")
# Define form gizmos
name_input = TextInput(display_text='Name',
name='name',
initial=name,
error=name_error)
owner_input = SelectInput(display_text='Owner',
name='owner',
multiple=False,
options=[('Reclamation', 'Reclamation'),
('Army Corp', 'Army Corp'),
('Other', 'Other')],
initial=owner,
error=owner_error)
river_input = TextInput(display_text='River',
name='river',
placeholder='e.g.: Mississippi River',
initial=river,
error=river_error)
date_built = DatePicker(name='date-built',
display_text='Date Built',
autoclose=True,
format='MM d, yyyy',
start_view='decade',
today_button=True,
initial=date_built,
error=date_error)
initial_view = MVView(projection='EPSG:4326',
center=[-98.6, 39.8],
zoom=3.5)
drawing_options = MVDraw(controls=['Modify', 'Delete', 'Move', 'Point'],
initial='Point',
output_format='GeoJSON',
point_color='#FF0000')
location_input = MapView(height='300px',
width='100%',
basemap='OpenStreetMap',
draw=drawing_options,
view=initial_view)
add_button = Button(display_text='Add',
name='add-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-dam-form'},
submit=True)
cancel_button = Button(display_text='Cancel',
name='cancel-button',
href=reverse('dam_inventory:home'))
context = {
'name_input': name_input,
'owner_input': owner_input,
'river_input': river_input,
'date_built_input': date_built,
'location_input': location_input,
'location_error': location_error,
'add_button': add_button,
'cancel_button': cancel_button,
'can_add_dams': has_permission(request, 'add_dams')
}
return render(request, 'dam_inventory/add_dam.html', context)
def New_Data(request, app_workspace):
"""
Controller for New Data page.
"""
# Default Values
sampleid = ''
river = ''
datecol = ''
timecol = ''
note = ''
pH = ''
temper = ''
cond = ''
ca = ''
mg = ''
na = ''
k = ''
hco = ''
cl = ''
so = ''
sio = ''
loaction = ''
# Errors
sampleid_error = ''
datecol_error = ''
location_error = ''
# Handle form submission
if request.POST and 'add-button' in request.POST:
# Get values
has_errors = False
sampleid = request.POST.get('sampleid', None)
river = request.POST.get('river', None)
datecol = request.POST.get('datecol', None)
timecol = request.POST.get('timecol', None)
note = request.POST.get('note', None)
pH = request.POST.get('pH', None)
temper = request.POST.get('temper', None)
cond = request.POST.get('cond', None)
ca = request.POST.get('ca', None)
mg = request.POST.get('mg', None)
na = request.POST.get('na', None)
k = request.POST.get('k', None)
hco = request.POST.get('hco', None)
cl = request.POST.get('cl', None)
so = request.POST.get('so', None)
sio = request.POST.get('sio', None)
location = request.POST.get('geometry', None)
#validate
if not sampleid:
has_errors = True
sampleid_error = 'Sample ID is required'
if not datecol:
has_errors = True
datecol_error = 'Date Collected is Required'
if not location:
has_errors = True
location_error = 'Location is required'
if not has_errors:
#Do Stuff here
add_new_data(db_directory=app_workspace.path,
location=location,
sampleid=sampleid,
river=river,
datecol=datecol,
timecol=timecol,
note=note,
pH=pH,
temper=temper,
cond=cond,
ca=ca,
mg=mg,
na=na,
k=k,
hco=hco,
cl=cl,
so=so,
sio=sio)
return redirect(reverse('waimea_flux:home'))
messages.error(request, "Please fix errors.")
# Define form gizmos
sampleid_input = TextInput(display_text='Sample ID',
name='sampleid',
initial=sampleid,
error=sampleid_error)
river_input = TextInput(display_text='River',
name='river',
placeholder='e.g.: Waimea River')
datecol_input = DatePicker(name='datecol',
display_text='Date Collected',
autoclose=True,
format='MM d, yyyy',
start_view='decade',
today_button=True,
initial=datecol,
error=datecol_error)
timecol_input = TextInput(display_text='Time of Sample Collection',
name='timecol')
note_input = TextInput(display_text='Any Notes?', name='note')
pH_input = TextInput(display_text='pH', name='pH')
temper_input = TextInput(display_text='Temperature (C)', name='temper')
cond_input = TextInput(display_text='Conductivity (microsiemens/cm)',
name='cond')
ca_input = TextInput(display_text='Ca2+ (mg/L)', name='ca')
mg_input = TextInput(display_text='Mg2+ (mg/L)', name='mg')
na_input = TextInput(display_text='Na+ (mg/L)', name='na')
k_input = TextInput(display_text='K+ (mg/L)', name='k')
hco_input = TextInput(display_text='HCO3- (mg/L)', name='hco')
cl_input = TextInput(display_text='Cl- (mg/L)', name='cl')
so_input = TextInput(display_text='SO42- (mg/L)', name='so')
sio_input = TextInput(display_text='SiO2 (mg/L)', name='sio')
initial_view = MVView(projection='EPSG:4326',
center=[-159.5, 22.07],
zoom=10)
drawing_options = MVDraw(controls=['Modify', 'Delete', 'Move', 'Point'],
initial='Point',
output_format='GeoJSON',
point_color='#FF0000')
location_input = MapView(height='300px',
width='100%',
basemap='OpenStreetMap',
draw=drawing_options,
view=initial_view)
add_button = Button(display_text='Add',
name='add-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-sample-form'},
submit=True)
cancel_button = Button(display_text='Cancel',
name='cancel-button',
href=reverse('waimea_flux:home'))
context = {
'sampleid_input': sampleid_input,
'river_input': river_input,
'datecol_input': datecol_input,
'timecol_input': timecol_input,
'note_input': note_input,
'pH_input': pH_input,
'temper_input': temper_input,
'cond_input': cond_input,
'ca_input': ca_input,
'mg_input': mg_input,
'na_input': na_input,
'k_input': k_input,
'hco_input': hco_input,
'cl_input': cl_input,
'so_input': so_input,
'sio_input': sio_input,
'location_input': location_input,
'location_error': location_error,
'add_button': add_button,
'cancel_button': cancel_button,
}
return render(request, 'waimea_flux/New_Data.html', context)
def home(request):
"""
Controller for the app home page.
"""
default_platform = 'modis'
default_sensors = EE_PRODUCTS[default_platform]
first_sensor_key = next(iter(default_sensors.keys()))
default_products = default_sensors[first_sensor_key]
first_product_key = next(iter(default_products.keys()))
first_product = default_products[first_product_key]
# Build initial platform control
platform_select = SelectInput(name='platform',
display_text='Satellite Platform',
options=(('MODIS', 'modis'), ('Sentinel',
'sentinel'),
('Landsat', 'landsat')))
# Build initial sensor control
sensor_options = []
for sensor in default_sensors:
sensor_options.append((sensor.upper(), sensor))
sensor_select = SelectInput(name='sensor',
display_text='Sensor',
options=sensor_options)
# Build initial product control
product_options = []
for product, info in default_products.items():
product_options.append((info['display'], product))
product_select = SelectInput(name='product',
display_text='Product',
options=product_options)
# Hardcode initial end date to today (since all of our datasets extend to present)
today = dt.datetime.today()
initial_end_date = today.strftime('%Y-%m-%d')
# Initial start date will a set number of days before the end date
# NOTE: This assumes the start date of the dataset is at least 30+ days prior to today
initial_end_date_dt = dt.datetime.strptime(initial_end_date, '%Y-%m-%d')
initial_start_date_dt = initial_end_date_dt - dt.timedelta(days=30)
initial_start_date = initial_start_date_dt.strftime('%Y-%m-%d')
# Build date controls
first_product_start_date = first_product.get('start_date', None)
first_product_end_date = first_product.get('end_date',
None) or initial_end_date
start_date = DatePicker(name='start_date',
display_text='Start Date',
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
today_highlight=True,
start_date=first_product_start_date,
end_date=first_product_end_date,
initial=initial_start_date,
autoclose=True)
end_date = DatePicker(name='end_date',
display_text='End Date',
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
today_highlight=True,
start_date=first_product_start_date,
end_date=first_product_end_date,
initial=initial_end_date,
autoclose=True)
# Build reducer method control
reducer_select = SelectInput(name='reducer',
display_text='Reduction Method',
options=(
('Median', 'median'),
('Mosaic', 'mosaic'),
('Mode', 'mode'),
('Mean', 'mean'),
('Minimum', 'min'),
('Maximum', 'max'),
('Sum', 'sum'),
('Count', 'count'),
('Product', 'product'),
))
# Build Buttons
load_button = Button(name='load_map',
display_text='Load',
style='default',
attributes={'id': 'load_map'})
clear_button = Button(name='clear_map',
display_text='Clear',
style='default',
attributes={'id': 'clear_map'})
plot_button = Button(name='load_plot',
display_text='Plot AOI',
style='default',
attributes={'id': 'load_plot'})
map_view = MapView(height='100%',
width='100%',
controls=[
'ZoomSlider', 'Rotate', 'FullScreen', {
'ZoomToExtent': {
'projection': 'EPSG:4326',
'extent': [29.25, -4.75, 46.25, 5.2]
}
}
],
basemap=[
'CartoDB', {
'CartoDB': {
'style': 'dark'
}
}, 'OpenStreetMap', 'Stamen', 'ESRI'
],
view=MVView(projection='EPSG:4326',
center=[37.880859, 0.219726],
zoom=7,
maxZoom=18,
minZoom=2),
draw=MVDraw(controls=[
'Pan', 'Modify', 'Delete', 'Move', 'Point',
'Polygon', 'Box'
],
initial='Pan',
output_format='GeoJSON'))
context = {
'platform_select': platform_select,
'sensor_select': sensor_select,
'product_select': product_select,
'start_date': start_date,
'end_date': end_date,
'reducer_select': reducer_select,
'load_button': load_button,
'clear_button': clear_button,
'plot_button': plot_button,
'ee_products': EE_PRODUCTS,
'map_view': map_view
}
return render(request, 'earth_engine/home.html', context)
def add_dam(request, app_workspace):
"""
Controller for the Add Dam page.
"""
# Default values
name = ''
owner = 'Reclamation'
river = ''
date_built = ''
location = ''
# Errors
name_error = ''
owner_error = ''
river_error = ''
date_error = ''
location_error = ''
# Handle form submission
if request.POST and 'add-button' in request.POST:
# Get values
has_errors = False
name = request.POST.get('name', None)
owner = request.POST.get('owner', None)
river = request.POST.get('river', None)
date_built = request.POST.get('date-built', None)
location = request.POST.get('geometry', None)
# Validate
if not name:
has_errors = True
name_error = 'Name is required.'
if not owner:
has_errors = True
owner_error = 'Owner is required.'
if not river:
has_errors = True
river_error = 'River is required.'
if not date_built:
has_errors = True
date_error = 'Date Built is required.'
if not location:
has_errors = True
location_error = 'Location is required.'
if not has_errors:
add_new_dam(db_directory=app_workspace.path,
name=name,
owner=owner,
river=river,
date_built=date_built,
location=location)
return redirect(reverse('dam_inventory:home'))
messages.error(request, "Please fix errors.")
# Define form gizmos
name_input = TextInput(display_text='Name',
name='name',
initial=name,
error=name_error)
owner_input = SelectInput(display_text='Owner',
name='owner',
multiple=False,
options=[('Reclamation', 'Reclamation'),
('Army Corp', 'Army Corp'),
('Other', 'Other')],
initial=owner,
error=owner_error)
river_input = TextInput(display_text='River',
name='river',
placeholder='e.g.: Mississippi River',
initial=river,
error=river_error)
date_built = DatePicker(display_text='Date Built',
name='date-built',
autoclose=True,
format='MM d, yyyy',
start_view='decade',
today_button=True,
initial=date_built,
error=date_error)
initial_view = MVView(projection='EPSG:4326',
center=[-98.6, 39.8],
zoom=3.5)
drawing_options = MVDraw(controls=['Modify', 'Delete', 'Move', 'Point'],
initial='Point',
output_format='GeoJSON',
point_color='#FF0000')
location_input = MapView(height='300px',
width='100%',
basemap='OpenStreetMap',
draw=drawing_options,
view=initial_view)
add_button = Button(display_text='Add',
name='add-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-dam-form'},
submit=True)
cancel_button = Button(display_text='Cancel',
name='cancel-button',
href=reverse('dam_inventory:home'))
context = {
'name_input': name_input,
'owner_input': owner_input,
'river_input': river_input,
'date_built_input': date_built,
'location_input': location_input,
'location_error': location_error,
'add_button': add_button,
'cancel_button': cancel_button,
}
return render(request, 'dam_inventory/add_dam.html', context)
def home(request):
"""
Controller for the app home page.
"""
sensor_selection = SelectInput(
# display_text='Select precipitation product:',
name='sensor_selection',
multiple=False,
options=[('Landsat 8', 'lc8'),
('Sentinel-2', 's2')],
initial=['Landsat 8'],
select2_options={'placeholder': 'Select a sensor',
'allowClear': False}
)
product_selection = SelectInput(
# display_text='Select precipitation product:',
name='product_selection',
multiple=False,
options=[('Rrs', 'rrs'),
('Secchi Depth', 'sd'),
('Trophic State Index', 'tsi'),
('Chlorophyll-a', 'chla')],
initial=['Rrs'],
select2_options={'placeholder': 'Select a product',
'allowClear': False}
)
download_button = Button(
display_text='Download Region',
name='download-button',
icon='glyphicon glyphicon-cloud-download',
style='primary',
)
timeseries_button = Button(
display_text='Get Time Series',
name='timeseries-button',
icon='glyphicon glyphicon-signal',
style='success',
)
time_start = DatePicker(
name='time_start',
# display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
initial='2015-08-01'
)
time_end = DatePicker(
name='time_end',
# display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
initial='2015-09-01'
)
# result = myProcess(time_start['initial'],time_end['initial']).getChlMap()
#
# mapid,token = str(result['mapid']),str(result['token'])
# print(mapid,token)
# chla_layer = tile_url_template.format(**map_id)
context = {
# 'chla_mapid': mapid,
# 'chla_token': token,
'sensor_selection':sensor_selection,
'product_selection': product_selection,
'download_button': download_button,
'timeseries_button': timeseries_button,
'time_start': time_start,
'time_end': time_end,
}
return render(request, 'wq_viewer/home.html', context)
def add_data(request,event_id=1,site_number = 'no',start_date = 'no',end_date='no',concentration_parameter = 'no',fc = '0.996', PKThreshold = 'no' ,ReRa = '0.1', MINDUR = '0', BSLOPE = '0.0001',ESLOPE = '0.4',SC = '4',dyslp = '0.001',segment_button_disable=True, download_button_disable=True,select_input = 'CUAHSI',network = 'NWISUV',visualize_button_disable = True):
"""
Controller for the Add Data page.
"""
#link to use on base page template html
#href="/apps/heda/data/add/1/01362500/2019-06-04/2019-06-26/63680/0.996/0.03/0.1/0/0.0001/0.001/4/0.001/1/1/USGS/NWISUV/True/"
#default blank values
if site_number == 'no':
site_number = ''
if concentration_parameter == 'no':
concentration_parameter = ''
if start_date == 'no':
start_date = ''
if end_date == 'no':
end_date = ''
if PKThreshold == 'no':
PKThreshold = ''
# Default Values
#site_number = '01646500'
#site_number = '01362500'
#start_date = ''
#end_date =''
if segment_button_disable =='False':
segment_button_disable = False
else:
segment_button_disable = True
if visualize_button_disable == 'False':
visualize_button_disable = False
else:
visualize_button_disable = True
if download_button_disable == 'False':
download_button_disable = False
else:
download_button_disable=True
if event_id == 1 or event_id == '1':
segment_button_disable= True
download_button_disable=True
# Errors
site_number_error = ''
start_date_error = ''
end_date_error = ''
PKThreshold_error =''
fc_error = ''
hydrograph_file_error = ''
concentration_number_error = ''
hydrograph_file = None
hydrograph_plot = create_hydrograph(event_id)
# Case where the form has been submitted
if request.POST and 'upload-button' in request.POST:
# Get Values
has_errors = False
# Get File
if request.FILES and 'hydrograph-file' in request.FILES:
# Get a list of the files
hydrograph_file = request.FILES.getlist('hydrograph-file')
if not hydrograph_file:
has_errors = True
hydrograph_file_error = 'Hydrograph File is Required.'
if not has_errors:
# Process file here
success = upload_trajectory(hydrograph_file[0])
#print('trajectory function returned with event id as : '+str(success))
# Provide feedback to user
if success:
messages.info(request, 'Successfully uploaded trajectory.')
download_button_disable = False
segment_button_disable = False
visualize_button_disable = False
event_id = str(success)
else:
messages.info(request, 'Unable to upload trajectory. Please try again or check file format.')
if site_number =='':
site_number ='no'
if PKThreshold == '':
PKThreshold ='no'
if start_date == '':
start_date = 'no'
if end_date == '':
end_date = 'no'
if concentration_parameter =='':
concentration_parameter = 'no'
return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable),"select_input":select_input,"network":network,"visualize_button_disable" : str(visualize_button_disable)}))
#return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable),"select_input":select_input}))
#return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable)}))
messages.error(request, "Please fix errors.")
if request.POST and 'segment-button' in request.POST:
# Get values
has_errors = False
fc = request.POST.get('fc',None)
PKThreshold = request.POST.get('PKThreshold',None)
ReRa = request.POST.get('ReRa',None)
BSLOPE = request.POST.get('BSLOPE',None)
ESLOPE = request.POST.get('ESLOPE',None)
SC = request.POST.get('SC',None)
MINDUR = request.POST.get('MINDUR',None)
dyslp = request.POST.get('dyslp',None)
# Validate
if not PKThreshold:
has_errors = True
PKThreshold_error = 'PKThreshold 1 is required.'
if not fc:
has_errors = True
fc_error = 'FC required.'
if not has_errors:
status = segmentation(event_id,float(fc),float(PKThreshold),float(ReRa),float(BSLOPE),float(ESLOPE),float(SC),float(MINDUR),float(dyslp))
if not status:
messages.error(request, "Segmentation failed. Please retrieve data again and try or change parameters.")
hydrograph_plot = create_hydrograph(event_id)
else:
segment_button_disable = False
download_button_disable = False
visualize_button_disable = False
if site_number =='':
site_number ='no'
if PKThreshold == '':
PKThreshold ='no'
if start_date == '':
start_date = 'no'
if end_date == '':
end_date = 'no'
if concentration_parameter =='':
concentration_parameter = 'no'
return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable),"select_input":select_input,"network":network,"visualize_button_disable" : str(visualize_button_disable)}))
#return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable)}))
#hydrograph_plot = create_hydrograph(event_id)
else:
messages.error(request, "Please fix errors.")
if request.POST and 'retrieve-button' in request.POST:
# Get values
has_errors = False
site_number = request.POST.get('site-number', None)
start_date = request.POST.get('start-date', None)
end_date = request.POST.get('end-date', None)
concentration_parameter = request.POST.get('concentration-parameter',None)
select_input = request.POST.get('select-input',None)
network = request.POST.get('network',None)
# Validate
if not site_number:
has_errors = True
site_number_error = 'Site Number is required.'
if not start_date:
has_errors = True
start_date_error = 'Start date is required.'
if not end_date:
has_errors = True
end_date_error = 'End date is required.'
if not concentration_parameter:
has_errors = True
concentration_parameter = 'Concentration parameter is required'
if not has_errors:
#segmentation parameters
event_id = add_new_data(sites=site_number, start=start_date,end = end_date, concentration = concentration_parameter,source = select_input, network =network )
#hydrograph_plot =create_hydrograph(event_id)
if not event_id:
messages.error(request, "Unable to retrieve data please check parameters or try again after a few minutes.")
segment_button_disable = True
#print('event not added')
else:
#print('Event '+str(event_id) +' added')
segment_button_disable = False
download_button_disable = False
visualize_button_disable = True
if site_number =='':
site_number ='no'
if PKThreshold == '':
PKThreshold ='no'
if start_date == '':
start_date = 'no'
if end_date == '':
end_date = 'no'
if concentration_parameter =='':
concentration_parameter = 'no'
return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable),"select_input":select_input,"network":network,"visualize_button_disable" : str(visualize_button_disable)}))
else:
messages.error(request, "Please fix errors.")
if request.POST and 'download-button' in request.POST:
# Get Values
has_errors = False
select_input = request.POST.get('select-input',None)
if not has_errors:
# Process file here
success = download_file(event_id)
#print('download file returned : '+str(success))
# Provide feedback to user
if success:
filename = success
fname = 'HEDA_download'
content = FileWrapper(open(filename))
response = HttpResponse(content, content_type='text/csv')
response['Content-Disposition'] = 'attachment; filename=%s' % fname
return response
else:
messages.info(request, 'Unable to download data file.')
if site_number =='':
site_number ='no'
if PKThreshold == '':
PKThreshold ='no'
if start_date == '':
start_date = 'no'
if end_date == '':
end_date = 'no'
if concentration_parameter =='':
concentration_parameter = 'no'
return redirect(reverse('heda:add_data', kwargs={"event_id": event_id,"site_number":site_number,"start_date":start_date,"end_date":end_date,"concentration_parameter":concentration_parameter,"fc":fc, "PKThreshold": PKThreshold , "ReRa": ReRa, "MINDUR":MINDUR,"BSLOPE":BSLOPE,"ESLOPE":ESLOPE,"SC":SC,"dyslp":dyslp,"segment_button_disable":str(segment_button_disable),"download_button_disable":str(download_button_disable),"select_input":select_input,"network":network,"visualize_button_disable" : str(visualize_button_disable)}))
messages.error(request, "Unknown problem.")
# Define form gizmos
select_input = SelectInput(display_text='Source',
name='select-input',
multiple=False,
original=True,
options=[('USGS', 'USGS'), ('CUAHSI', 'CUAHSI')],
initial=['USGS'],
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Choose USGS NWIS or CUAHSI-HIS'})
network_input = TextInput(
display_text='Network (*only-CUAHSI)',
name='network',
initial=network,
placeholder='e.g.: NWISUV',
error=site_number_error,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Enter the CUAHSI data source provider/network ID'},
)
site_number_input = TextInput(
display_text='Site Number',
name='site-number',
initial=site_number,
placeholder='e.g.: 01362500',
error=site_number_error,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'USGS or CUAHSI HIS Site Number'},
)
# Define form gizmos
concentration_parameter_input = TextInput(
display_text='Concentration code',
name='concentration-parameter',
placeholder='e.g.: 63680',
initial=concentration_parameter,
error=concentration_number_error,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Enter the USGS or CUAHSI paramater id for concentration value of interest'}
)
start_date_input = DatePicker(
name='start-date',
display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
error=start_date_error,
initial = start_date,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Choose starting date'}
)
end_date_input = DatePicker(
name='end-date',
display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
error=end_date_error,
initial = end_date,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Choose ending data. Recommended not to be more than a year from starting date.'}
)
dyslp_input = TextInput(
display_text='dyslp',
name='dyslp',
initial=dyslp,
placeholder='e.g.: 0.001',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Dynamic slope threshold. Used to cut the flat head and end of the runoff event. Default is 0.001.'}
)
MINDUR_input = TextInput(
display_text='Minimum Duration',
name='MINDUR',
initial=MINDUR,
placeholder='e.g.: 0',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Enter the minimum duration that a single event can be. Default is zero to not have a set minimum.'}
)
SC_input = TextInput(
display_text='Smoothing Coefficient',
name='SC',
initial=SC,
placeholder='e.g.: 4',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Smoothing coefficient determine how many filtering passes will apply on stormflow. More passes result smoother hydrograph. Default is 4'}
)
ESLOPE_input = TextInput(
display_text='ESlope',
name='ESLOPE',
initial=ESLOPE,
placeholder='e.g.: 0.0001',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Ending slope threshold. Used to cut flat head and end of the runoff event. Default is 0.0001.'}
)
BSLOPE_input = TextInput(
display_text='BSlope',
name='BSLOPE',
initial=BSLOPE,
placeholder='e.g.: 0.001',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Beginning slope threshold. Used to cut flat head and end of the runoff event. Default is 0.001.'}
)
ReRa_input = TextInput(
display_text='Return Ratio Threshold',
name='ReRa',
initial=ReRa,
placeholder='e.g.: 0.1',
disabled=segment_button_disable,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Return ratio threshold for tolerance of ending stormflow being different from event start. Default is 0.10 (10%). Higher values (0.2-0.3) results in less multi-peaked events. Lower values (e.g. 0.05) results in more longer, multi-peaked events'}
)
PKThreshold_input = TextInput(
display_text='Peak Threshold',
name='PKThreshold',
initial=PKThreshold,
placeholder='e.g.: 10',
disabled=segment_button_disable,
error = PKThreshold_error,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Peak threshold for detecting and event. Minimum rise above baseflow for an event to be detected. Entered in units of streamflow being analyzed (e.g. cfs for USGS)'}
)
fc_input = TextInput(
display_text='Filter Coefficient',
name='fc',
initial=fc,
placeholder='e.g.: 0.996',
disabled=segment_button_disable,
error = fc_error,
attributes={'data-toggle':'tooltip',
'data-placement':'top',
'title':'Baseflow extraction filter coefficient. Detault is 0.995. Lower coefficient values (e.g., 0.990) results in baseflow tracking streamflow more closely. Higher values (e.g., 0.999) results in more muted baseflow.'}
)
def loading():
messages.success(request, 'loading.')
return 0
retrieve_button = Button(
display_text='Retrieve',
name='retrieve-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-data-form','onclick':"loading()"},
submit=True
)
segment_button = Button(
display_text='Segment',
name='segment-button',
icon='glyphicon glyphicon-scissors',
style='success',
attributes={'form': 'segment-data-form'},
#href=reverse('heda:add_data', kwargs={"event_id": event_id}),
#disabled=segment_button_disable,
submit=True
)
cancel_button = Button(
display_text='Cancel',
name='cancel-button',
href=reverse('heda:home')
)
visualize_button = Button(
display_text='Visualize Events',
name='visualize-button',
icon='glyphicon glyphicon-picture',
href=reverse('heda:visualize_events', kwargs={"event_id": event_id,"sub_event": 0}),
style='success',
disabled=visualize_button_disable,
#submit=True
)
download_button = Button(
display_text='Download',
name='download-button',
disabled = download_button_disable,
submit=True,
icon='glyphicon glyphicon-download',
style='success',
attributes={'form': 'segment-data-form'},
)
upload_button = Button(
display_text='Upload',
name='upload-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'upload-data-form'},
submit=True
)
context = {
'retrieve_button': retrieve_button,
'cancel_button': cancel_button,
'visualize_button':visualize_button,
'site_number_input': site_number_input,
'start_date_input':start_date_input,
'end_date_input':end_date_input,
'hydrograph_plot':hydrograph_plot,
'segment_button':segment_button,
'fc_input': fc_input,
'PKThreshold_input': PKThreshold_input,
'ReRa_input':ReRa_input,
'BSLOPE_input':BSLOPE_input,
'ESLOPE_input':ESLOPE_input,
'SC_input':SC_input,
'MINDUR_input':MINDUR_input,
'dyslp_input':dyslp_input,
'download_button':download_button,
'upload_button': upload_button,
'hydrograph_file_error': hydrograph_file_error,
'concentration_parameter_input':concentration_parameter_input,
'select_input': select_input,
'network_input': network_input,
}
return render(request, 'heda/add_data.html', context)
def mapviewer(request):
"""
Controller for the app home page.
"""
# today = datetime.datetime.now()
# thisdate = today-datetime.timedelta(2)
# isodate = thisdate.strftime('%Y-%m-%d')
initial_date = '2015-08-11'
if request.method == 'GET':
info = request.GET
start_date = info.get('sDate')
if not start_date:
start_date = initial_date
sensor = info.get('sensor_txt')
if not sensor:
sensor = 'viirs'
else:
print('no request')
precip_layer1 = geeutils.getPrecipMap(initial_date, accumulation=1)
historical_layer = geeutils.getHistoricalMap(REGION,
'2010',
'2015',
'01',
'01',
climatology=False,
algorithm='JRC')
flood_layer = geeutils.getfloodMap('sentinel1', start_date)
date_selection = DatePicker(
name='date_selection',
# display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
initial=initial_date)
update_button = Button(display_text='Update Historic Layer',
name='update-button',
icon='glyphicon glyphicon-refresh',
style='primary',
classes="btn_custom")
method_historical_selection = SelectInput(
name='method_historical_selection',
multiple=False,
options=[('Continuous', 'continuous'), ('Seasonal', 'discrete')],
initial=['Continuous'],
select2_options={
'placeholder': 'Select a mothod',
'allowClear': False
})
start_month_selection_historical = DatePicker(
name='start_month_selection_historical',
format='mm',
autoclose=True,
#startDate= new Date('1984'),
#endDate: new Date('2015'),
clear_button=True,
start_view='months',
min_view_mode='months',
initial='01')
end_month_selection_historical = DatePicker(
name='end_month_selection_historical',
format='mm',
autoclose=True,
#startDate= new Date('1984'),
#endDate: new Date('2015'),
clear_button=True,
start_view='months',
min_view_mode='months',
initial='02')
start_year_selection_historical = DatePicker(
name='start_year_selection_historical',
format='yyyy',
autoclose=True,
#start_date= '1/1/2015',
#end_date = '1/1/2016',
clear_button=True,
start_view='years',
min_view_mode='years',
initial='2010')
end_year_selection_historical = DatePicker(
name='end_year_selection_historical',
format='yyyy',
autoclose=True,
#start_date= new Date('2010'),
#endDate: new Date('2015'),
clear_button=True,
start_view='years',
min_view_mode='years',
initial='2015')
product_selection = SelectInput(
# display_text='Select precipitation product:',
name='product_selection',
multiple=False,
options=[('1 Day Accumulation', '1|0'), ('3 Day Accumulation', '3|0'),
('7 Day Accumulation', '7|0')],
initial=['1 Day Accumulation'],
select2_options={
'placeholder': 'Select a product',
'allowClear': False
})
cmap_selection = SelectInput(
# display_text='Select precipitation product:',
name='cmap_selection',
multiple=False,
options=[('nipy_spectral', 'nipy_spectral'),
('gist_ncar', 'gist_ncar'), ('cubehelix', 'cubehelix')],
initial=['nipy_spectral'],
select2_options={
'placeholder': 'Select a product',
'allowClear': False
})
browse_selection = SelectInput(
# display_text='Select precipitation product:',
name='browse_selection',
multiple=False,
options=[('VIIRS NRT TRUE COLOR',
'1|VIIRS_SNPP_CorrectedReflectance_TrueColor'),
('VIIRS NRT NATURAL COLOR',
'2|VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1'),
('MODIS AQUA TRUE COLOR',
'3|MODIS_Aqua_CorrectedReflectance_TrueColor'),
('MODIS AQUA NATURAL COLOR',
'4|MODIS_Aqua_CorrectedReflectance_Bands721'),
('MODIS TERRA TRUE COLOR',
'5|MODIS_Terra_CorrectedReflectance_TrueColor'),
('MODIS TERRA NATURAL COLOR',
'5|MODIS_Terra_CorrectedReflectance_Bands721')],
initial=['VIIRS NRT NATURAL COLOR'],
select2_options={
'placeholder': 'Select browse imagery:',
'allowClear': False
})
sensor_selection = SelectInput(
# display_text='Select precipitation product:',
name='sensor_selection',
multiple=False,
options=[('Sentinel 1', 'sentinel1'), ('VIIRS Downscaled', 'viirs'),
('ATMS (Comming soon)', 'atms')],
initial=['Sentinel 1'],
select2_options={
'placeholder': 'Select sensor:',
'allowClear': False
})
context = {
'date_selection': date_selection,
'precip_layer': precip_layer1,
'historical_layer': historical_layer,
'flood_layer': flood_layer,
'admin_layer': ADMIN_LAYER,
'product_selection': product_selection,
'cmap_selection': cmap_selection,
'browse_selection': browse_selection,
'sensor_selection': sensor_selection,
'start_month_selection_historical': start_month_selection_historical,
'start_year_selection_historical': start_year_selection_historical,
'end_month_selection_historical': end_month_selection_historical,
'end_year_selection_historical': end_year_selection_historical,
'method_historical_selection': method_historical_selection,
'update_button': update_button
}
return render(request, 'hydraviewer/map.html', context)
def ahps(request):
"""
Controller for the AHPS.html page
:param request: URL request for the page, including GET information
:return: Returns a rendering of the page with AHPS data available displayed
"""
# REFACTOR TO "This + 2"
t_now = datetime.now()
now_str = "{0}-{1}-{2}".format(t_now.year, check_digit(t_now.month),
check_digit(t_now.day))
t_delta = timedelta(days=7)
t_before = t_now - t_delta
before_str = "{0}-{1}-{2}".format(t_before.year,
check_digit(t_before.month),
check_digit(t_before.day))
# Get values for gauge_id and waterbody
gauge_id = request.GET['gaugeno']
waterbody = request.GET['waterbody']
latitude = request.GET['lat']
longitude = request.GET['long']
forecast_date = before_str
forecast_date_end = now_str
forecast_range_initialize = 'Analysis and Assimilation'
comid_time = "06"
do_forecast = request.GET.get("forecast_range", None)
forecast_range = 'analysis_assim'
got_comid = False
comid = None
failed = False
# Get AHPS data using a dedicated function
data = get_ahps_data(
gauge_id) # data will be in a string, but is an xml document
# Get Closest COMID to gauge
# comid_filler = str(json.loads(urllib2.urlopen('https://ofmpub.epa.gov/waters10/PointIndexing.Service?pGeometry=POINT(' + longitude + '+' + latitude + ')').read())['output']['ary_flowlines'][0]['comid'])
comid_filler = get_comid(latitude, longitude)
# Convert AHPS stage and flow data to a usable string format (NOT INCLUDING METADATA)
# print data
python_data = convert_ahps_to_python(data)
flow_data = []
flow = float()
stage_data = []
stage = float()
for item in python_data:
flow_data.append([item[1], item[4]])
flow += item[4]
stage_data.append([item[1], item[2]])
stage += item[2]
# Check if AHPS flow data exists
gotdata_flow = False
if flow > 0:
gotdata_flow = True
time_series_list_api = []
# REFACTOR TO LINE 'This + 50'
# URL for getting forecast data and in a list
if do_forecast is not None:
comid = request.GET['comid']
comid_filler = comid
forecast_range = request.GET['forecast_range']
forecast_date = request.GET['forecast_date']
if comid is not None and len(comid) > 0:
print 'in loop'
got_comid = True
if forecast_range == "short_range":
print 'In Short'
comid_time = request.GET['comid_time']
forecast_range_initialize = 'Short'
elif forecast_range == "analysis_assim":
print 'In analsis and Assim'
forecast_date_end = request.GET['forecast_date_end']
forecast_range_initialize = 'Analysis and Assimilation'
else:
print "In Medium"
forecast_range_initialize = 'Medium'
print comid_time
url = 'https://apps.hydroshare.org/apps/nwm-forecasts/api/GetWaterML/?config={0}&geom=channel_rt&variable=streamflow&COMID={1}&lon=&lat=&startDate={2}&endDate={3}&time={4}&lag='.format(
forecast_range, comid, forecast_date, forecast_date_end,
comid_time)
try:
url_api = urllib2.urlopen(url)
data_api = url_api.read()
# print data_api
x = data_api.split('dateTimeUTC=')
x.pop(0)
for elm in x:
info = elm.split(' ')
time1 = info[0].replace('T', ' ')
time2 = time1.replace('"', '')
time3 = time2[:-3]
time4 = time3.split(' ')
time5 = time4[0].split('-')
timedate = time5
year = int(timedate[0])
month = int(timedate[1])
day = int(timedate[2])
timetime = time4[1]
time_split = timetime.split(':')
time_minute = time_split[1].replace(':', '')
hour = time_split[0]
minute = time_minute[1]
hour_int = int(hour)
minute_int = int(minute)
value = info[7].split('<')
value1 = value[0].replace('>', '')
value2 = float(value1)
time_series_list_api.append(
[datetime(year, month, day, hour_int, minute_int), value2])
except HTTPError:
failed = True
# Plot AHPS flow data
timeseries_plot = TimeSeries(height='500px',
width='500px',
engine='highcharts',
title='Streamflow Plot',
y_axis_title='Flow',
y_axis_units='cfs',
series=[{
'name': 'Streamflow',
'data': flow_data
}, {
'name': 'Forecasted Streamflow',
'data': time_series_list_api
}],
colors=[
'#7cb5ec', '#b880e9', '#ecc07c',
'#7cec84', '#ec7c7c', '#cf7cec',
'#df2525', '#90ed7d'
])
# Check if AHPS stagedata exists
gotdata_stage = False
if stage > 0:
gotdata_stage = True
# Plot AHPS stage data
timeseries_plot_stage = TimeSeries(height='500px',
width='500px',
engine='highcharts',
title='Stage Plot',
y_axis_title='Stage',
y_axis_units='ft',
series=[{
'name': 'Stage',
'data': stage_data
}])
comid_time += ':00'
generate_graphs_button = Button(display_text='Generate New Graphs',
name='generate_graphs',
attributes={""},
submit=True)
comid_input = TextInput(display_text='COMID',
name='comid',
initial=comid_filler,
classes='form-control')
forecast_date_picker = DatePicker(name='forecast_date',
display_text='Forecast Date Start',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=forecast_date)
forecast_date_end_picker = DatePicker(name='forecast_date_end',
display_text='Forecast Date End',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=forecast_date_end)
forecast_range_select = SelectInput(display_text='Forecast Size',
name='forecast_range',
multiple=False,
options=[('Analysis and Assimilation',
'analysis_assim'),
('Short', 'short_range'),
('Medium', 'medium_range')],
initial=forecast_range_initialize,
original=True)
forecast_time_select = SelectInput(display_text='Start Time',
name='comid_time',
multiple=False,
options=[
('00:00', "00"), ('01:00', "01"),
('02:00', "02"), ('03:00', "03"),
('04:00', "04"), ('05:00', "05"),
('06:00', "06"), ('07:00', "07"),
('08:00', "08"), ('09:00', "09"),
('10:00', "10"), ('11:00', "11"),
('12:00', "12"), ('13:00', "13"),
('14:00', "14"), ('15:00', "15"),
('16:00', "16"), ('17:00', "17"),
('18:00', "18"), ('19:00', "19"),
('20:00', "20"), ('21:00', "21"),
('22:00', "22"), ('23:00', "23")
],
initial=comid_time,
original=True)
context = {
"gaugeno": gauge_id,
"waterbody": waterbody,
"timeseries_plot": timeseries_plot,
"gotdata_flow": gotdata_flow,
"timeseries_plot_stage": timeseries_plot_stage,
"gotdata_stage": gotdata_stage,
"lat": latitude,
"long": longitude,
"generate_graphs_button": generate_graphs_button,
"comid_input": comid_input,
"forecast_date_picker": forecast_date_picker,
"forecast_date_end_picker": forecast_date_end_picker,
"forecast_range_select": forecast_range_select,
"forecast_time_select": forecast_time_select,
"comid": comid,
"gotComid": got_comid,
"forecast_failed": failed
}
return render(request, 'gaugeviewwml/ahps.html', context)
name='timeseries-button',
icon='glyphicon glyphicon-signal',
style='success',
),
"map_button":
Button(
display_text='Get WQ Map',
name='map-button',
icon='glyphicon glyphicon-signal',
style='info',
),
"start_time":
DatePicker(name='time_start',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
initial='2015-08-01',
attributes={'class': 'hide'},
classes='buttontheme'),
"end_time":
DatePicker(name='time_end',
autoclose=True,
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
initial='2015-09-01',
attributes={'class': 'hide'},
classes='buttontheme'),
"download_button":
Button(
display_text='Download Region',
def home(request):
"""
Controller for the app home page.
"""
# Start the GLDAS code
# Generate the dropdown options for GLDAS. See utilities.py for
# gen_gldas_dropdown function
gldas_dropdown = gen_gldas_dropdown()
select_gldas_variable = SelectInput(display_text='Select Variable',
name="select_gldas_var", multiple=False,
options=gldas_dropdown) # Dropdown for selecting the GLDAS Variable
# Get the GLDAS date range. See utilities.py for get_gldas_range function
gldas_dates = get_gldas_range()
start_date = DatePicker(name='start_date',
display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=gldas_dates["start"],
start_date=gldas_dates["start"],
end_date=gldas_dates["end"]) # Datepicker object for selecting the GLDAS start date
end_date = DatePicker(name='end_date',
display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=gldas_dates["end"],
start_date=gldas_dates["start"],
end_date=gldas_dates["end"]) # Datepicker object for selecting the GLDAS end date
# End of GLDAS code segment
# Start Climate Serv code
data_type_options = [["CHIRPS Precipitation", "0|CHIRPS Precipitation(mm/day)"],
["IMERG 1 Day", "26|IMERG 1 Day(1 mm/day)"],
["Seasonal Forecast", "6|Seasonal Forecast"]
] # Climate Serv Data Type Options
operation_type_options = [["Max", "0|max"],
["Min", "1|min"],
["Average", "5|avg"]
] # Climate Serv Operation Type options
# Climate Serv interval type options
interval_type_options = [["Daily", "0"]]
select_data_type = SelectInput(display_text='Select a data type', name='cs_data_type',
multiple=False, options=data_type_options) # Dropdown object for the select data type
select_operation_type = SelectInput(display_text='Select a operation type',
name='cs_operation_type', multiple=False,
options=operation_type_options) # Dropdown for select operation type
select_interval_type = SelectInput(display_text='Select a date interval',
name='cs_interval_type', multiple=False,
options=interval_type_options) # Dropdown for select interval type
select_forecast_variable = SelectInput(display_text='Select a variable',
name='cs_forecast_variable', multiple=False,
options=[("Precipitation", "Precipitation"),
("Temperature", "Temperature")]) # A dropdown object for selecting the forecast variable
# Get the seasonal forecast range. See utilities.py.
seasonal_forecast_range = get_sf_range()
today = datetime.today().strftime("%m/%d/%Y")
forecast_start = DatePicker(name='forecast_start',
display_text='Start Date',
autoclose=True,
format='mm/dd/yyyy',
start_view='month',
today_button=True,
initial="01/10/2016") # Datepicker object for Climate Serv forecast start date
forecast_end = DatePicker(name='forecast_end',
display_text='End Date',
autoclose=True,
format='mm/dd/yyyy',
start_view='month',
today_button=True,
initial="01/20/2016") # Datepicker object for Climate Serv forecast end date
seasonal_forecast_start = DatePicker(name='seasonal_forecast_start',
display_text='Start Date',
autoclose=True,
format='mm/dd/yyyy',
start_view='month',
today_button=True,
initial=today,
start_date=seasonal_forecast_range[
"start"],
end_date=seasonal_forecast_range["end"]) # Datepicker object for Climate Serv seasonal forecast start date
seasonal_forecast_end = DatePicker(name='seasonal_forecast_end',
display_text='End Date',
autoclose=True,
format='mm/dd/yyyy',
start_view='month',
today_button=True,
initial=today,
start_date=seasonal_forecast_range[
"start"],
end_date=seasonal_forecast_range["end"]) # Datepicker object for Climate Serv seasonal forecast end date
# End Climate Serv code block
# Django context variables that will be used in home.html
context = {
"select_gldas_variable": select_gldas_variable,
"start_date": start_date,
"end_date": end_date,
"select_data_type": select_data_type,
"select_operation_type": select_operation_type,
"select_interval_type": select_interval_type,
"forecast_start": forecast_start,
"forecast_end": forecast_end,
"select_forecast_variable": select_forecast_variable,
"seasonal_forecast_start": seasonal_forecast_start,
"seasonal_forecast_end": seasonal_forecast_end}
return render(request, 'hydroexplorer/home.html', context)
def details(request):
# Defining the variables for site name, site code, network and hydroserver
# url.
site_name = request.GET.get('sitename')
site_code = request.GET.get('sitecode')
network = request.GET.get('network')
hs_url = request.GET.get('hsurl')
hidenav = request.GET.get('hidenav')
error_message = None
select_soap_variable = []
select_variable = []
graphs_object = {}
soap_obj = {} # soap_obj json dictionary is used so that part of the important metadata can be stored as a session object
soap_obj["url"] = hs_url
client = Client(hs_url) # Connecting to the HydroServer via suds
client.set_options(port='WaterOneFlow')
site_desc = network + ":" + site_code
soap_obj["site"] = site_desc
soap_obj["network"] = network
site_info = client.service.GetSiteInfo(site_desc) # Get site info
# Encoding is necessary for making sure that this thing works for sites
# with weird characters
site_info = site_info.encode('utf-8')
# Converting xml2dict to make it easier to parse
info_dict = xmltodict.parse(site_info)
# Converting the dict to a json object
info_json_object = json.dumps(info_dict)
info_json = json.loads(info_json_object)
site_variables = []
site_object_info = info_json['sitesResponse']['site']['seriesCatalog']
# This exception was necessary as there were some sites with no data
try:
site_object = info_json['sitesResponse']['site']['seriesCatalog']['series']
except KeyError:
error_message = "Site Details do not exist"
context = {"site_name": site_name, "site_code": site_code,
"service": "SOAP", "error_message": error_message}
return render(request, 'hydroexplorer/error.html', context)
graph_variables = [] # List for storing all avaiable variables
var_json = [] # List for storing the variable metadata such as the date range for the data for that variable
# Check if there are multiple variables in the selected site
if type(site_object) is list:
count = 0
for i in site_object:
var_obj = {} # var_obj json dictionary is used so that the variable selected by the user can be retrieved as a session object
count = count + 1
variable_name = i['variable']['variableName']
variable_id = i['variable']['variableCode']['@variableID']
variable_text = i['variable']['variableCode']['#text']
var_obj["variableName"] = variable_name
var_obj["variableID"] = variable_id
# value_type = i['variable']['valueType']
value_count = i['valueCount']
# data_type = i['variable']['dataType']
# unit_name = i['variable']['unit']['unitName']
# unit_type = i['variable']['unit']['unitType']
# unit_abbr = i['variable']['unit']['unitAbbreviation']
# unit_code = i['variable']['unit']['unitCode']
# time_support = i['variable']['timeScale']['timeSupport']
# time_support_name = i['variable']['timeScale']['unit']['unitName']
# time_support_type = i['variable']['timeScale']['unit']['unitAbbreviation']
begin_time = i["variableTimeInterval"]["beginDateTimeUTC"]
begin_time = begin_time.split("T")
begin_time = str(begin_time[0])
end_time = i["variableTimeInterval"]["endDateTimeUTC"]
end_time = end_time.split("T")
end_time = str(end_time[0])
var_obj["startDate"] = begin_time
var_obj["endDate"] = end_time
# print begin_time,end_time
method_id = i["method"]["@methodID"]
# method_desc = i["method"]["methodDescription"]
# source_id = i["source"]["@sourceID"]
# source_org = i["source"]["organization"]
# source_desc = i["source"]["sourceDescription"]
# qc_code = i["qualityControlLevel"]["qualityControlLevelCode"]
# qc_id = i["qualityControlLevel"]["@qualityControlLevelID"]
# qc_definition = i["qualityControlLevel"]["definition"]
# print variable_name,variable_id, source_id,method_id, qc_code
# Generating the string that the user sees
variable_string = str(
count) + '. Variable Name:' + variable_name + ',' + 'Count: ' + value_count + ',Variable ID:' + variable_id + ', Start Date:' + begin_time + ', End Date:' + end_time
# value_string = variable_id,variable_text,source_id,method_id,qc_code, variable_name
value_list = [variable_text, method_id]
value_string = str(value_list)
# Creating a list of lists. The graph variables list will be
# used for generating a select variable dropdown.
graph_variables.append([variable_string, value_string])
# Adding all the important variable metadata to a json object,
# so that it can be retrieved later through request.session
var_json.append(var_obj)
else:
# If there is a single variable do the following. The struture is
# slightly different if there is only one variable in the site.
# Thus this method is implemented
var_obj = {}
variable_name = site_object['variable']['variableName']
variable_id = site_object['variable'][
'variableCode']['@variableID']
variable_text = site_object['variable']['variableCode']['#text']
value_count = site_object['valueCount']
# value_type = site_object['variable']['valueType']
# data_type = site_object['variable']['dataType']
# unit_name = site_object['variable']['unit']['unitName']
# unit_type = site_object['variable']['unit']['unitType']
# unit_abbr = site_object['variable']['unit']['unitAbbreviation']
# unit_code = site_object['variable']['unit']['unitCode']
# time_support = site_object['variable']['timeScale']['timeSupport']
# time_support_name = site_object['variable']['timeScale']['unit']['unitName']
# time_support_type = site_object['variable']['timeScale']['unit']['unitAbbreviation']
begin_time = site_object[
"variableTimeInterval"]["beginDateTimeUTC"]
begin_time = begin_time.split("T")
begin_time = str(begin_time[0])
end_time = site_object["variableTimeInterval"]["endDateTimeUTC"]
end_time = end_time.split("T")
end_time = str(end_time[0])
method_id = site_object["method"]["@methodID"]
# method_desc = site_object["method"]["methodDescription"]
# source_id = site_object["source"]["@sourceID"]
# source_org = site_object["source"]["organization"]
# source_desc = site_object["source"]["sourceDescription"]
# qc_code = site_object["qualityControlLevel"]["qualityControlLevelCode"]
# qc_id = site_object["qualityControlLevel"]["@qualityControlLevelID"]
# qc_definition = site_object["qualityControlLevel"]["definition"]
variable_string = '1. Variable Name:' + variable_name + ',' + 'Count: ' + value_count + \
',Variable ID:' + variable_id + ', Start Date:' + \
begin_time + ', End Date:' + end_time
# print variable_name, variable_id, source_id, method_id, qc_code
value_list = [variable_text, method_id]
value_string = str(value_list)
var_obj["variableName"] = variable_name
var_obj["variableID"] = variable_id
var_obj["startDate"] = begin_time
var_obj["endDate"] = end_time
# Adding the variable metadata to a json object so that it can
# retrieved using request.session
var_json.append(var_obj)
# Appending the solo variable to the empty list. This will be used
# to generate the dropdown.
graph_variables.append([variable_string, value_string])
# print site_values
# values = client.service.GetSiteInfo(site_desc)
# print values
select_soap_variable = SelectInput(display_text='Select Variable', name="select_var", multiple=False,
options=graph_variables) # Dropdown object for selecting a soap variable
t_now = datetime.now()
now_str = "{0}-{1}-{2}".format(t_now.year,
check_digit(t_now.month), check_digit(t_now.day))
start_date = DatePicker(name='start_date',
display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=now_str) # Datepicker object for selecting the start date. This simply initializes the datepicker. The actual validation is done directly through JavaScript.
end_date = DatePicker(name='end_date',
display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=now_str) # Datepicker object for selecting the end date. Same as above.
select_variable = []
graphs_object = {}
json.JSONEncoder.default = lambda self, obj: (obj.isoformat() if isinstance(
obj, datetime) else None) # Encoding everything so that it can be retrieved as session object
soap_obj["var_list"] = var_json
# Saving the var_json as a session obj
request.session['soap_obj'] = soap_obj
context = {"site_name": site_name,
"site_code": site_code,
"network": network,
"hs_url": hs_url,
"hidenav": hidenav,
"select_soap_variable": select_soap_variable,
"select_variable": select_variable,
"start_date": start_date,
"end_date": end_date,
"graphs_object": graphs_object,
"soap_obj": soap_obj,
"error_message": error_message}
return render(request, 'hydroexplorer/details.html', context)
def home(request):
"""
Controller for the app home page.
"""
gage_names = []
select_gage_options_tuple = []
# This is new
temp_dir = RecessionAnalyzer.get_app_workspace().path
#res_ids = request.GET.getlist('WofUri')
res_ids = []
res_ids.append('cuahsi-wdc-2017-04-03-30616779')
res_ids.append('cuahsi-wdc-2017-04-03-30650403')
res_ids.append('cuahsi-wdc-2017-04-03-30705857')
for res_id in res_ids:
url_zip = 'http://qa-webclient-solr.azurewebsites.net/CUAHSI/HydroClient/WaterOneFlowArchive/' + res_id + '/zip'
r = requests.get(url_zip, verify=False)
z = zipfile.ZipFile(io.BytesIO(r.content))
file_list = z.namelist()
for file in file_list:
file_data = z.read(file)
file_path = temp_dir + '/id/' + res_id + '.xml'
with open(file_path, 'wb') as f:
f.write(file_data)
gage_name = getSite(res_id)
gage_names.append(gage_name)
select_gage_options_tuple.append((gage_name, gage_name))
# New stuff ends here
concave_initial = False
nonlinear_fitting_initial = False
rec_sense_initial = 1
min_length_initial = 4
antecedent_moisture_initial = 1
lag_start_initial = 0
#select_gage_options_initial = ['11476500']
select_gage_options_initial = gage_names
#select_gage_options_tuple = [('11476500', '11476500'), ('11477000', '11477000')]
#select_gage_options_tuple = [(getSite(res_id), getSite(res_id))]
abJson = ''
seriesDict = {}
scatter_plot_view = []
line_plot_view = []
context = {}
gage_json = ''
ab_stats = buildStatTable({'stats': []})
submitted = False
sites = pd.read_csv(
'/usr/lib/tethys/src/tethys_apps/tethysapp/recession_analyzer/public/huc_18.tsv',
sep='\t',
header=30,
index_col=False,
skiprows=[31])
sites = sites[sites.site_tp_cd == 'ST']
names = sites.station_nm
values = [str(x) for x in list(sites.site_no)]
text = [num + ' ' + name[0:20] for (num, name) in zip(values, names)]
gages_options_options = zip(text, values)
gages_options_options_dict = dict(zip(values, text))
# "Analyze recessions" button has been pressed
# this stores new set of analysis parameters
# and performs recession analysis, stores data in dictionaries
# creates a new dropdown box with user gages
if request.POST and 'analyze' in request.POST:
# PRESERVE THE PREVIOUS STATE #
gages_initial = request.POST.getlist("gages_input")
start_initial = request.POST['start_input']
stop_initial = request.POST['stop_input']
if 'concave_input' in request.POST:
concave_initial = True
else:
concave_initial = False
if 'nonlinear_fitting_input' in request.POST:
nonlinear_fitting_initial = True
else:
nonlinear_fitting_initial = False
rec_sense_initial = request.POST['rec_sense_input']
min_length_initial = request.POST['min_length_input']
lag_start_initial = request.POST['lag_start_input']
antecedent_moisture_initial = request.POST['antecedent_moisture_input']
########################################
app_workspace = RecessionAnalyzer.get_user_workspace(request.user)
new_file_path = os.path.join(app_workspace.path, 'current_plot.txt')
pickle.dump(request.POST, open(new_file_path[:-4] + '.p', 'w'))
post = pickle.load(open(new_file_path[:-4] + '.p', 'r'))
submitted = True
gage_json = json.dumps(gage_names)
start = post['start_input']
stop = post['stop_input']
rec_sense = post['rec_sense_input']
min_length = post['min_length_input']
nonlin_fit = post.get('nonlinear_fitting_input', False)
min_length = float(min_length)
selectivity = float(rec_sense) * 500
sitesDict, startStopDict = recessionExtract(gage_names,
res_ids,
start,
stop,
ante=10,
alph=0.90,
window=3,
selectivity=selectivity,
minLen=min_length,
option=1,
nonlin_fit=nonlin_fit)
abJson, abDict = createAbJson(sitesDict, gage_names)
a = []
a0 = []
b = []
q = []
g = []
flow = np.array([])
time = np.array([], dtype='<U10')
gage_flow = []
for gage in gage_names:
a = a + abDict[gage]['a']
a0 = a0 + abDict[gage]['a0']
b = b + abDict[gage]['b']
q = q + abDict[gage]['q']
g = g + [str(gage)] * len(abDict[gage]['a'])
flow2 = sitesDict[gage][gage].values
flow = np.concatenate((flow, flow2), axis=0)
time2 = sitesDict[gage].index.strftime('%Y-%m-%d')
time = np.concatenate((time, time2), axis=0)
gage_flow = gage_flow + [str(gage)] * len(sitesDict[gage][gage])
dfinfo = np.array([g, a, a0, b, q])
flow_info = np.array([gage_flow, time, flow])
df = pd.DataFrame(data=np.transpose(dfinfo),
columns=['Gage', 'a', 'a0', 'b', 'q'])
flow_df = pd.DataFrame(data=np.transpose(flow_info),
columns=['Gage', 'Time', 'Flow rate'])
new_file_path = "/usr/local/lib/tethys/src/tethys_apps/tethysapp/recession_analyzer/templates/recession_analyzer/flowdata.html"
flow_df.to_html(new_file_path)
newline = '{% extends "recession_analyzer/base.html" %}\n{% load tethys_gizmos %}\n{% block app_content %}'
line_prepender(new_file_path, newline)
newline = '{% endblock %}'
line_appender(new_file_path, newline)
new_file_path = "/usr/local/lib/tethys/src/tethys_apps/tethysapp/recession_analyzer/templates/recession_analyzer/dataframe.html"
df.to_html(new_file_path)
newline = '{% extends "recession_analyzer/base.html" %}\n{% load tethys_gizmos %}\n{% block app_content %}'
line_prepender(new_file_path, newline)
newline = '{% endblock %}'
line_appender(new_file_path, newline)
# FIXME: Throw error here if len(gage_names) == 0
for gage in gage_names:
ts = sitesDict[gage]
startStop = startStopDict[gage]
startVec = startStop[0]
endVec = startStop[1]
flow = ts[gage]
tsinds = ts.index
series = []
series.append({
'name':
' ',
'color':
'#0066ff',
'data':
zip(flow[tsinds[0]:startVec[0]].index,
flow[tsinds[0]:startVec[0]])
})
series.append({
'name':
' ',
'color':
'#ff6600',
'data':
zip(flow[startVec[0]:endVec[0]].index,
flow[startVec[0]:endVec[0]])
})
for i in np.arange(0, len(startVec) - 1):
series.append({
'name':
' ',
'color':
'#0066ff',
'data':
zip(flow[endVec[i]:startVec[i + 1]].index,
flow[endVec[i]:startVec[i + 1]])
})
series.append({
'name':
' ',
'color':
'#ff6600',
'data':
zip(flow[startVec[i + 1]:endVec[i + 1]].index,
flow[startVec[i + 1]:endVec[i + 1]])
})
series.append({
'name':
' ',
'color':
'#0066ff',
'data':
zip(flow[endVec[-1]:tsinds[-1]].index,
flow[endVec[-1]:tsinds[-1]])
})
seriesDict[gage] = series
line_plot_view.append(
buildFlowTimeSeriesPlot(series=seriesDict[gage], name=gage))
avals = ts['A0n'][ts['A0n'] > 0].values
bvals = ts['Bn'][ts['Bn'] > 0].values
tuplelist = zip(avals, bvals)
scatter_plot_view.append(
buildRecParamPlot(tuplelist=tuplelist, name=gage))
stats_dict = createStatsInfo(abJson)
ab_stats = buildStatTable(stats_dict)
gages_options = SelectInput(
display_text='Select gage(s)',
name='gages_input',
multiple=True,
options=gages_options_options,
initial=[gages_options_options_dict[init] for init in gages_initial])
start_options = DatePicker(name='start_input',
display_text='Start date',
autoclose=True,
format='yyyy-m-d',
start_date='01/01/1910',
initial=start_initial)
stop_options = DatePicker(name='stop_input',
display_text='Stop date',
autoclose=True,
format='yyyy-m-d',
start_date='01/01/1910',
initial=stop_initial)
concave_options = ToggleSwitch(name='concave_input',
size='small',
initial=concave_initial,
display_text='Concave recessions')
nonlinear_fitting_options = ToggleSwitch(name='nonlinear_fitting_input',
display_text='Nonlinear fitting',
size='small',
initial=nonlinear_fitting_initial)
min_length_options = RangeSlider(
name='min_length_input',
min=4,
max=10,
initial=min_length_initial,
step=1,
attributes={"onchange": "showValue(this.value,'min_length_initial');"})
rec_sense_options = RangeSlider(
name='rec_sense_input',
min=0,
max=1,
initial=rec_sense_initial,
step=0.01,
attributes={"onchange": "showValue(this.value,'rec_sense_initial');"})
antecedent_moisture_options = RangeSlider(
name='antecedent_moisture_input',
min=0,
max=1,
initial=antecedent_moisture_initial,
step=0.01,
attributes={
"onchange": "showValue(this.value,'antecedent_moisture_initial');"
})
lag_start_options = RangeSlider(
name='lag_start_input',
min=0,
max=3,
initial=lag_start_initial,
step=1,
attributes={"onchange": "showValue(this.value,'lag_start_initial');"})
select_gage_options = SelectInput(
display_text='Select gage',
name='gage_input',
multiple=False,
initial=select_gage_options_initial,
options=select_gage_options_tuple,
attributes={"onchange": "updatePlots(this.value);"})
context.update({
'rec_sense_initial': rec_sense_initial,
'antecedent_moisture_initial': antecedent_moisture_initial,
'lag_start_initial': lag_start_initial,
'gage_json': gage_json,
'min_length_initial': min_length_initial,
'concave_options': concave_options,
'nonlinear_fitting_options': nonlinear_fitting_options,
'min_length_options': min_length_options,
'submitted': submitted,
'antecedent_moisture_options': antecedent_moisture_options,
'lag_start_options': lag_start_options,
'rec_sense_options': rec_sense_options,
'line_plot_view': line_plot_view,
'ab_stats': ab_stats,
'scatter_plot_view': scatter_plot_view,
'select_gage_options': select_gage_options,
'abJson': abJson,
'seriesDict': seriesDict,
'gages_options': gages_options,
'start_options': start_options,
'stop_options': stop_options
})
return render(request, 'recession_analyzer/home.html', context)
def home(request):
# Date Picker Options
date_picker = DatePicker(name='date1',
display_text='Date',
autoclose=True,
format='MM d, yyyy',
start_date='2/15/2014',
start_view='decade',
today_button=True,
initial='February 15, 2014')
"""
Controller for the app home page.
"""
save_button = Button(display_text='',
name='save-button',
icon='glyphicon glyphicon-floppy-disk',
style='success',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Save'
})
edit_button = Button(display_text='',
name='edit-button',
icon='glyphicon glyphicon-edit',
style='warning',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Edit'
})
remove_button = Button(display_text='',
name='remove-button',
icon='glyphicon glyphicon-remove',
style='danger',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Remove'
})
previous_button = Button(display_text='Previous',
name='previous-button',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Previous'
})
next_button = Button(display_text='Next',
name='next-button',
attributes={
'data-toggle': 'tooltip',
'data-placement': 'top',
'title': 'Next'
})
context = {
'save_button': save_button,
'edit_button': edit_button,
'remove_button': remove_button,
'previous_button': previous_button,
'next_button': next_button,
'date_picker': date_picker,
}
return render(request, 'izzatmapapp/home.html', context)
def home(request):
"""
Controller for the app home page.
"""
# Define initial view for Map View
view_options = MVView(projection='EPSG:4326',
center=[-100, 40],
zoom=3.5,
maxZoom=18,
minZoom=2)
# Configure the map
map_options = MapView(height='350px',
width='100%',
view=view_options,
legend=False)
# Pre-populate lat-picker and lon_picker from model
select_basemap = SelectInput(
display_text='Basemap',
name='select_basemap',
multiple=False,
options=[('Bing', 'bing_layer'), ('OpenStreet', 'openstreet_layer')],
original=['Bing'],
attributes="id=select_basemap onchange=run_select_basemap()")
select_site = SelectInput(
display_text='Sites',
name='select_site',
multiple=False,
options=[('Select a site', 'Select a site'),
('LR_Mendon_AA', 'LR_Mendon_AA'),
('LR_MainStreet_BA', 'LR_MainStreet_BA'),
('LR_WaterLab_AA', 'LR_WaterLab_AA'),
('LR_TG_BA', 'LR_TG_BA'), ('LR_FB_BA', 'LR_FB_BA'),
('PR_BI_AA', 'PR_BI_AA'), ('PR_CH_AA', 'PR_CH_AA'),
('PR_LM_AA', 'PR_LM_AA'), ('PR_ST_AA', 'PR_ST_AA'),
('RB_ARBR_AA', 'RB_ARBR_AA'), ('RB_CG_BA', 'RB_CG_BA'),
('RB_FD_AA', 'RB_FD_AA'), ('RB_RBG_BA', 'RB_RBG_BA'),
('RB_KF_BA', 'RB_KF_BA')],
attributes="id=select_site onchange=run_select_site()")
begin_date = DatePicker(name='begin_date',
display_text='Begin Date',
autoclose=True,
format='yyyy-mm-dd',
start_date='2010-01-01',
start_view='decade',
today_button=True,
initial='2015-03-01')
end_date = DatePicker(name='end_date',
display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_date='2010-01-01',
start_view='decade',
today_button=True,
initial='2015-03-04')
btnSearch = Button(display_text="Search",
name="btnSearch",
attributes="id=btnSearch onclick=run_search_results();",
submit=False)
xValue = TextInput(display_text='Input Ca Concentration (ppm):',
name="xValue",
initial="",
disabled=False)
btnPhreeqc = Button(
display_text="Run PHREEQC",
name="btnPhreeqc",
attributes="id=btnPhreeqc onclick=run_phreeqc_analyze();",
submit=False)
# Pass variables to the template via the context dictionary
context = {
'map_options': map_options,
'select_basemap': select_basemap,
'select_site': select_site,
'btnSearch': btnSearch,
'begin_date': begin_date,
'end_date': end_date,
'xValue': xValue,
'btnPhreeqc': btnPhreeqc,
}
return render(request, 'sherin_phreeqc/home.html', context)
def details(request):
site_name = request.GET['sitename']
site_code = request.GET['sitecode']
network = request.GET['network']
hs_url = request.GET['hsurl']
hidenav = request.GET['hidenav']
service = request.GET['service']
rest = None
soap = None
error_message = None
if service == 'SOAP':
soap_obj = {}
soap = service
soap_obj["url"] = hs_url
client = Client(hs_url)
client.set_options(port='WaterOneFlow')
site_desc = network + ":" + site_code
soap_obj["site"] = site_desc
soap_obj["network"] = network
site_info = client.service.GetSiteInfo(site_desc)
site_info = site_info.encode('utf-8')
# site_values = client.service.GetValuesForASiteObject(site_desc,"","","")
# print site_values
info_dict = xmltodict.parse(site_info)
info_json_object = json.dumps(info_dict)
info_json = json.loads(info_json_object)
# print site_values
# print info_json
site_variables = []
site_object_info = info_json['sitesResponse']['site']['seriesCatalog']
# print info_json
try:
site_object = info_json['sitesResponse']['site']['seriesCatalog'][
'series']
except KeyError:
error_message = "Site Details do not exist"
context = {
"site_name": site_name,
"site_code": site_code,
"service": service,
"error_message": error_message
}
return render(request, 'hydrocatalog/error.html', context)
graph_variables = []
var_json = []
if type(site_object) is list:
count = 0
for i in site_object:
var_obj = {}
count = count + 1
variable_name = i['variable']['variableName']
variable_id = i['variable']['variableCode']['@variableID']
variable_text = i['variable']['variableCode']['#text']
var_obj["variableName"] = variable_name
var_obj["variableID"] = variable_id
# value_type = i['variable']['valueType']
value_count = i['valueCount']
# data_type = i['variable']['dataType']
# unit_name = i['variable']['unit']['unitName']
# unit_type = i['variable']['unit']['unitType']
# unit_abbr = i['variable']['unit']['unitAbbreviation']
# unit_code = i['variable']['unit']['unitCode']
# time_support = i['variable']['timeScale']['timeSupport']
# time_support_name = i['variable']['timeScale']['unit']['unitName']
# time_support_type = i['variable']['timeScale']['unit']['unitAbbreviation']
begin_time = i["variableTimeInterval"]["beginDateTimeUTC"]
begin_time = begin_time.split("T")
begin_time = str(begin_time[0])
end_time = i["variableTimeInterval"]["endDateTimeUTC"]
end_time = end_time.split("T")
end_time = str(end_time[0])
var_obj["startDate"] = begin_time
var_obj["endDate"] = end_time
# print begin_time,end_time
method_id = i["method"]["@methodID"]
# method_desc = i["method"]["methodDescription"]
# source_id = i["source"]["@sourceID"]
# source_org = i["source"]["organization"]
# source_desc = i["source"]["sourceDescription"]
# qc_code = i["qualityControlLevel"]["qualityControlLevelCode"]
# qc_id = i["qualityControlLevel"]["@qualityControlLevelID"]
# qc_definition = i["qualityControlLevel"]["definition"]
# print variable_name,variable_id, source_id,method_id, qc_code
variable_string = str(
count
) + '. Variable Name:' + variable_name + ',' + 'Count: ' + value_count + ',Variable ID:' + variable_id + ', Start Date:' + begin_time + ', End Date:' + end_time
# value_string = variable_id,variable_text,source_id,method_id,qc_code, variable_name
value_list = [variable_text, method_id]
value_string = str(value_list)
graph_variables.append([variable_string, value_string])
var_json.append(var_obj)
# print variable_name, variable_id, value_type, data_type, unit_name,unit_type, unit_abbr,unit_abbr,unit_code, time_support, time_support_name, time_support_type
else:
var_obj = {}
variable_name = site_object['variable']['variableName']
variable_id = site_object['variable']['variableCode'][
'@variableID']
variable_text = site_object['variable']['variableCode']['#text']
value_count = site_object['valueCount']
# value_type = site_object['variable']['valueType']
# data_type = site_object['variable']['dataType']
# unit_name = site_object['variable']['unit']['unitName']
# unit_type = site_object['variable']['unit']['unitType']
# unit_abbr = site_object['variable']['unit']['unitAbbreviation']
# unit_code = site_object['variable']['unit']['unitCode']
# time_support = site_object['variable']['timeScale']['timeSupport']
# time_support_name = site_object['variable']['timeScale']['unit']['unitName']
# time_support_type = site_object['variable']['timeScale']['unit']['unitAbbreviation']
begin_time = site_object["variableTimeInterval"][
"beginDateTimeUTC"]
begin_time = begin_time.split("T")
begin_time = str(begin_time[0])
end_time = site_object["variableTimeInterval"]["endDateTimeUTC"]
end_time = end_time.split("T")
end_time = str(end_time[0])
method_id = site_object["method"]["@methodID"]
# method_desc = site_object["method"]["methodDescription"]
# source_id = site_object["source"]["@sourceID"]
# source_org = site_object["source"]["organization"]
# source_desc = site_object["source"]["sourceDescription"]
# qc_code = site_object["qualityControlLevel"]["qualityControlLevelCode"]
# qc_id = site_object["qualityControlLevel"]["@qualityControlLevelID"]
# qc_definition = site_object["qualityControlLevel"]["definition"]
variable_string = '1. Variable Name:' + variable_name + ',' + 'Count: ' + value_count + ',Variable ID:' + variable_id + ', Start Date:' + begin_time + ', End Date:' + end_time
# print variable_name, variable_id, source_id, method_id, qc_code
value_list = [variable_text, method_id]
value_string = str(value_list)
var_obj["variableName"] = variable_name
var_obj["variableID"] = variable_id
var_obj["startDate"] = begin_time
var_obj["endDate"] = end_time
var_json.append(var_obj)
graph_variables.append([variable_string, value_string])
select_soap_variable = SelectInput(display_text='Select Variable',
name="select_var",
multiple=False,
options=graph_variables)
t_now = datetime.now()
now_str = "{0}-{1}-{2}".format(t_now.year, check_digit(t_now.month),
check_digit(t_now.day))
start_date = DatePicker(name='start_date',
display_text='Start Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=now_str)
end_date = DatePicker(name='end_date',
display_text='End Date',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=now_str)
select_variable = []
graphs_object = {}
json.JSONEncoder.default = lambda self, obj: (obj.isoformat(
) if isinstance(obj, datetime) else None)
soap_obj["var_list"] = var_json
request.session['soap_obj'] = soap_obj
context = {
"site_name": site_name,
"site_code": site_code,
"network": network,
"hs_url": hs_url,
"service": service,
"rest": rest,
"soap": soap,
"hidenav": hidenav,
"select_soap_variable": select_soap_variable,
"select_variable": select_variable,
"start_date": start_date,
"end_date": end_date,
"graphs_object": graphs_object,
"soap_obj": soap_obj,
"error_message": error_message
}
return render(request, 'hydrocatalog/details.html', context)
def usgs(request):
"""
Controller for the app usgs page.
:param request: Is the URL request of the page
:return: renders the page with context available
"""
# DETERMINE WHAT DATA IS NEEDED (GaugeViewer 308)...
gauge_id = request.GET['gaugeid']
waterbody = request.GET['waterbody']
start = request.GET['start']
end = request.GET['end']
lat = request.GET['lat']
long = request.GET['long']
do_forecast = request.GET.get("forecast_range", None)
comid = None
forecast_range = 'analysis_assim'
forecast_range_initialize = 'Analysis and Assimilation'
forecast_date = start
forecast_date_end = end
comid_time = "06"
got_comid = False
failed = False
# Get Closest COMID to gauge
# comid_filler = str(json.loads(urllib2.urlopen('https://ofmpub.epa.gov/waters10/PointIndexing.Service?pGeometry=POINT(' + long + '+' + lat + ')').read())['output']['ary_flowlines'][0]['comid'])
comid_filler = get_comid(lat, long)
if do_forecast is not None:
forecast_range = request.GET['forecast_range']
comid = request.GET['comid']
comid_filler = comid
forecast_date = request.GET['forecast_date']
# comid_time = request.GET['comid_time']
inst_data = get_usgs_iv_data(gauge_id, start, end)
metadata, inst_data = convert_usgs_iv_to_python(inst_data)
inst_time_series_list = create_time_series_usgs(inst_data)
# Check if USGS instantaneous data exists for time frame
gotinstdata = False
if len(inst_time_series_list) > 0:
gotinstdata = True
# REFACTOR TO LINE "This + 40"
# URL for getting forecast data and in a list
time_series_list_api = []
if comid is not None and len(comid) > 0:
# print 'in loop'
got_comid = True
if forecast_range == "short_range":
# print 'In Short'
comid_time = request.GET['comid_time']
forecast_range_initialize = 'Short'
elif forecast_range == "analysis_assim":
# print 'In analsis and Assim'
forecast_date_end = request.GET['forecast_date_end']
forecast_range_initialize = 'Analysis and Assimilation'
else:
# print "In Medium"
forecast_range_initialize = 'Medium'
# print comid_time
url = 'https://apps.hydroshare.org/apps/nwm-forecasts/api/GetWaterML/?config={0}&geom=channel_rt&variable=streamflow&COMID={1}&lon=&lat=&startDate={2}&endDate={3}&time={4}&lag='.format(
forecast_range, comid, forecast_date, forecast_date_end,
comid_time)
try:
url_api = urllib2.urlopen(url)
data_api = url_api.read()
x = data_api.split('dateTimeUTC=')
x.pop(0)
for elm in x:
info = elm.split(' ')
time1 = info[0].replace('T', ' ')
time2 = time1.replace('"', '')
time3 = time2[:-3]
time4 = time3.split(' ')
time5 = time4[0].split('-')
timedate = time5
year = int(timedate[0])
month = int(timedate[1])
day = int(timedate[2])
timetime = time4[1]
time_split = timetime.split(':')
time_minute = time_split[1].replace(':', '')
hour = time_split[0]
minute = time_minute[1]
hour_int = int(hour)
minute_int = int(minute)
value = info[7].split('<')
value1 = value[0].replace('>', '')
value2 = float(value1)
time_series_list_api.append(
[datetime(year, month, day, hour_int, minute_int), value2])
except HTTPError:
failed = True
# Plot USGS data
usgs_inst_plot = TimeSeries(height='500px',
width='500px',
engine='highcharts',
title='Instantaneous Values Streamflow Plot',
y_axis_title='Flow',
y_axis_units='cfs',
series=[{
'name': 'Streamflow',
'data': inst_time_series_list,
}, {
'name': 'Forecasted Streamflow',
'data': time_series_list_api
}],
colors=[
'#7cb5ec', '#b880e9', '#ecc07c', '#7cec84',
'#ec7c7c', '#cf7cec', '#df2525', '#90ed7d'
])
dv_data = get_usgs_dv_data(gauge_id, start, end)
metadata, dv_data = convert_usgs_dv_to_python(dv_data)
dv_time_series_list = create_time_series_usgs(dv_data, 'dv')
# Check if USGS daily data exists for time frame
gotdvdata = False
if len(dv_time_series_list) > 0:
gotdvdata = True
# Plot USGS data
usgs_dv_plot = TimeSeries(height='500px',
width='500px',
engine='highcharts',
title='Daily Average Streamflow Values Plot',
y_axis_title='Flow',
y_axis_units='cfs',
series=[{
'name': 'Streamflow',
'data': dv_time_series_list,
}])
comid_time += ':00'
# Gizmos
usgs_start_date_picker = DatePicker(name='start',
display_text='Start Date',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=start)
usgs_end_date_picker = DatePicker(name='end',
display_text='End Date',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=end)
generate_graphs_button = Button(display_text='Update Graph', submit=True)
comid_input = TextInput(display_text='COMID',
name='comid',
initial=comid_filler,
classes='form-control')
forecast_date_picker = DatePicker(name='forecast_date',
display_text='Forecast Date Start',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=forecast_date)
forecast_date_end_picker = DatePicker(name='forecast_date_end',
display_text='Forecast Date End',
end_date='0d',
autoclose=True,
format='yyyy-mm-dd',
start_view='month',
today_button=True,
initial=end)
forecast_range_select = SelectInput(display_text='Forecast Size',
name='forecast_range',
multiple=False,
options=[('Analysis and Assimilation',
'analysis_assim'),
('Short', 'short_range'),
('Medium', 'medium_range')],
initial=forecast_range_initialize,
original=True)
forecast_time_select = SelectInput(display_text='Start Time',
name='comid_time',
multiple=False,
options=[
('00:00', "00"), ('01:00', "01"),
('02:00', "02"), ('03:00', "03"),
('04:00', "04"), ('05:00', "05"),
('06:00', "06"), ('07:00', "07"),
('08:00', "08"), ('09:00', "09"),
('10:00', "10"), ('11:00', "11"),
('12:00', "12"), ('13:00', "13"),
('14:00', "14"), ('15:00', "15"),
('16:00', "16"), ('17:00', "17"),
('18:00', "18"), ('19:00', "19"),
('20:00', "20"), ('21:00', "21"),
('22:00', "22"), ('23:00', "23")
],
initial=comid_time,
original=True)
context = {
"gaugeid": gauge_id,
"waterbody": waterbody,
"generate_graphs_button": generate_graphs_button,
"usgs_inst_plot": usgs_inst_plot,
"got_inst_data": gotinstdata,
"usgs_dv_plot": usgs_dv_plot,
"got_dv_data": gotdvdata,
"usgs_start_date_picker": usgs_start_date_picker,
"usgs_end_date_picker": usgs_end_date_picker,
"start": start,
"end": end,
"lat": lat,
"long": long,
"comid_input": comid_input,
"forecast_date_picker": forecast_date_picker,
"forecast_date_end_picker": forecast_date_end_picker,
"forecast_range_select": forecast_range_select,
"forecast_time_select": forecast_time_select,
"forecast_range": forecast_range,
"comid": comid,
"gotComid": got_comid,
"forecast_failed": failed
}
return render(request, 'gaugeviewwml/usgs.html', context)
def home(request, user_workspace):
"""
Controller for the app home page.
"""
# Get bounding box from user boundary if it exists
boundary_props = get_boundary_fc_props_for_user(request.user)
map_view = MapView(
height='100%',
width='100%',
controls=[{
'Zoom': {
'projection': 'EPSG:4326',
'extent':
boundary_props.get('bbox',
[-180, -90, 180, 90]) # Default to World
}
}],
basemap=[
'OpenStreetMap',
'Stamen',
{
'ESRI': {
'layer': 'World_Imagery'
}
},
{
'ESRI': {
'layer': 'World_Street_Map'
}
},
],
view=MVView(
projection='EPSG:4326',
center=boundary_props.get('centroid', [0, 0]), # Default to World
zoom=boundary_props.get('zoom', 3), # Default to World
maxZoom=18,
minZoom=2),
draw=MVDraw(controls=[
'Pan', 'Modify', 'Delete', 'Move', 'Point', 'Polygon', 'Box'
],
initial='Pan',
output_format='GeoJSON'))
default_platform = 'modis'
default_sensors = EE_PRODUCTS[default_platform]
first_sensor_key = next(iter(default_sensors.keys()))
default_products = default_sensors[first_sensor_key]
first_product_key = next(iter(default_products.keys()))
first_product = default_products[first_product_key]
# Build initial platform control
platform_select = SelectInput(
name='platform',
display_text='Satellite Platform or model',
options=(
('MODIS', 'modis'),
('Sentinel', 'sentinel'),
('Landsat', 'landsat'),
('GLDAS', 'gldas'),
('WAPOR', 'wapor'),
('GPWV411', 'gpwv411'),
('GRACE', 'grace'),
('CHIRPS', 'chirps'),
('TERRACLIMATE', 'terraclimate'),
# ('OpenLandMap', 'openlandmap'),terraclimate
# ('GHSL', 'ghsl')
))
# Build initial sensor control
sensor_options = []
for sensor in default_sensors:
sensor_options.append((sensor.upper(), sensor))
sensor_select = SelectInput(
name='sensor',
display_text='Sensor',
options=sensor_options,
)
# Build initial product control
product_options = []
for product, info in default_products.items():
product_options.append((info['display'], product))
product_select = SelectInput(name='product',
display_text='Product',
options=product_options)
# Hardcode initial end date to today (since all of our datasets extend to present)
today = dt.datetime.today()
initial_end_date = today.strftime('%Y-%m-%d')
# Initial start date will a set number of days before the end date
# NOTE: This assumes the start date of the dataset is at least 30+ days prior to today
initial_end_date_dt = dt.datetime.strptime(initial_end_date, '%Y-%m-%d')
initial_start_date_dt = initial_end_date_dt - dt.timedelta(days=30)
initial_start_date = initial_start_date_dt.strftime('%Y-%m-%d')
# Build date controls
first_product_start_date = first_product.get('start_date', None)
first_product_end_date = first_product.get('end_date',
None) or initial_end_date
start_date = DatePicker(name='start_date',
display_text='Start Date',
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
today_highlight=True,
start_date=first_product_start_date,
end_date=first_product_end_date,
initial=initial_start_date,
autoclose=True)
end_date = DatePicker(name='end_date',
display_text='End Date',
format='yyyy-mm-dd',
start_view='decade',
today_button=True,
today_highlight=True,
start_date=first_product_start_date,
end_date=first_product_end_date,
initial=initial_end_date,
autoclose=True)
# Build reducer method control
reducer_select = SelectInput(name='reducer',
display_text='Reduction Method',
options=(
('Median', 'median'),
('Mosaic', 'mosaic'),
('Mode', 'mode'),
('Mean', 'mean'),
('Minimum', 'min'),
('Maximum', 'max'),
('Sum', 'sum'),
('Count', 'count'),
('Product', 'product'),
))
# Build Buttons
load_button = Button(name='load_map',
display_text='Load',
style='default',
attributes={'id': 'load_map'})
clear_button = Button(name='clear_map',
display_text='Clear',
style='default',
attributes={'id': 'clear_map'})
plot_button = Button(name='load_plot',
display_text='Plot Time Series',
style='default',
attributes={'id': 'load_plot'})
# Boundary Upload Form
set_boundary_button = Button(
name='set_boundary',
display_text='Set Boundary',
style='default',
attributes={
'id': 'set_boundary',
'data-toggle': 'modal',
'data-target':
'#set-boundary-modal' # ID of the Set Boundary Modal
})
# Handle Set Boundary Form
# Handle Set Boundary Form
set_boundary_error = ''
if request.POST and request.FILES:
set_boundary_error = handle_shapefile_upload(request, user_workspace)
if not set_boundary_error:
# Redirect back to this page to clear form
return HttpResponseRedirect(request.path)
context = {
'platform_select': platform_select,
'sensor_select': sensor_select,
'product_select': product_select,
'start_date': start_date,
'end_date': end_date,
'reducer_select': reducer_select,
'ee_products': EE_PRODUCTS,
'load_button': load_button,
'clear_button': clear_button,
'plot_button': plot_button,
'set_boundary_button': set_boundary_button,
'set_boundary_error': set_boundary_error,
'map_view': map_view
}
return render(request, 'earth_engine2/home.html', context)
def new_bloom(request, app_workspace):
"""
Controller for the background page.
"""
#Default Values
location = ''
type = 'Lake'
severity = ''
date = ''
mapdraw = ''
#Errors
location_error = ''
type_error = ''
severity_error = ''
date_error = ''
mapdraw_error = ''
#Handle form submission
if request.POST and 'add-button' in request.POST:
#Get values
has_errors = False
location = request.POST.get('location', None)
type = request.POST.get('type', None)
severity = request.POST.get('severity', None)
date = request.POST.get('date', None)
mapdraw = request.POST.get('geometry', None)
#validate
if not location:
has_errors = True
location_error = 'Location is required.'
if not type:
has_errors = True
type_error = 'Type is required.'
if not severity:
has_errors = True
severity_error = 'Severity is required.'
if not date:
has_errors = True
date_error = 'Date is required.'
if not mapdraw:
has_errors = True
mapdraw_error = 'Must draw location on map.'
if not has_errors:
add_new_bloom(db_directory=app_workspace.path,
mapdraw=mapdraw,
location=location,
type=type,
severity=severity,
date=date)
return redirect(reverse('utah_algal_blooms:home'))
messages.error(request, "Please fix errors.")
# Define form gizmos
location_input = TextInput(display_text='Location',
name='location',
placeholder='e.g.: Utah Lake',
initial=location,
error=location_error)
type_input = SelectInput(display_text='Water Body Type',
name='type',
multiple=False,
options=[('Lake', 'Lake'),
('Reservoir', 'Reservoir'),
('Other', 'Other')],
initial=type,
error=type_error)
severity_input = SelectInput(display_text='Severity',
name='severity',
multiple=False,
options=[('Low', 'Low'),
('Moderate', 'Moderate'),
('High', 'High'),
('Extreme', 'Extreme')],
initial=severity,
error=severity_error)
date = DatePicker(name='date',
display_text='Date of Appearance',
autoclose=True,
format='MM d, yyyy',
start_view='decade',
today_button=True,
initial=date,
error=date_error)
initial_view = MVView(projection='EPSG:4326', center=[-110, 39.8], zoom=5)
drawing_options = MVDraw(controls=['Modify', 'Delete', 'Move', 'Point'],
initial='Point',
output_format='GeoJSON',
point_color='#FF0000')
mapdraw_input = MapView(height='300px',
width='100%',
basemap='OpenStreetMap',
draw=drawing_options,
view=initial_view)
add_button = Button(display_text='Add',
name='add-button',
icon='glyphicon glyphicon-plus',
style='success',
attributes={'form': 'add-bloom-form'},
submit=True)
cancel_button = Button(display_text='Cancel',
name='cancel-button',
href=reverse('utah_algal_blooms:home'))
context = {
'location_input': location_input,
'type_input': type_input,
'severity_input': severity_input,
'date_input': date,
'mapdraw_input': mapdraw_input,
'mapdraw_error': mapdraw_error,
'add_button': add_button,
'cancel_button': cancel_button,
}
return render(request, 'utah_algal_blooms/new_bloom.html', context)