def save(self,request):
from django.contrib.gis.geos import Point
species = self.cleaned_data.get('species_id')
if species:
spp = Species.objects.filter(symbol=species)
if spp:
new_tree = Tree(species=spp[0])
else:
new_tree = Tree()
else:
new_tree = Tree()
add = self.cleaned_data.get('edit_address_street')
if add:
new_tree.address_street = add
new_tree.geocoded_address = add
city = self.cleaned_data.get('edit_address_city')
if city:
new_tree.address_city = city
zip_ = self.cleaned_data.get('edit_address_zip')
if zip_:
new_tree.address_zip = zip_
#import pdb;pdb.set_trace()
pnt = Point(self.cleaned_data.get('lon'),self.cleaned_data.get('lat'),srid=4326)
new_tree.geometry = pnt
n = Neighborhood.objects.filter(geometry__contains=pnt)
z = ZipCode.objects.filter(geometry__contains=pnt)
if n: new_tree.neighborhood = n[0]
else: new_tree.neighborhood = None
if z: new_tree.zipcode = z[0]
else: new_tree.zipcode = None
new_tree.last_updated_by = request.user
new_tree.save()
dbh = self.cleaned_data.get('dbh')
if dbh:
ts = TreeStatus(
reported_by = request.user,
value = dbh,
key = 'dbh',
tree = new_tree)
ts.save()
return new_tree
def save(self,request):
from django.contrib.gis.geos import Point
plot = Plot()
plot.data_owner = request.user
address = self.cleaned_data.get('edit_address_street')
if address:
plot.address_street = address
plot.geocoded_address = address
city = self.cleaned_data.get('edit_address_city')
geo_address = self.cleaned_data.get('geocode_address')
if geo_address:
plot.geocoded_address = geo_address
if city:
plot.address_city = city
zip_ = self.cleaned_data.get('edit_address_zip')
if zip_:
plot.address_zip = zip_
plot_width = self.cleaned_data.get('plot_width')
plot_width_in = self.cleaned_data.get('plot_width_in')
if plot_width:
plot.width = float(plot_width)
if plot_width_in:
plot.width = plot.width + (float(plot_width_in) / 12)
plot_length = self.cleaned_data.get('plot_length')
plot_length_in = self.cleaned_data.get('plot_length_in')
if plot_length:
plot.length = float(plot_length)
if plot_length_in:
plot.length = plot.length + (float(plot_length_in) / 12)
plot_type = self.cleaned_data.get('plot_type')
if plot_type:
plot.type = plot_type
power_lines = self.cleaned_data.get('power_lines')
if power_lines != "":
plot.powerline_conflict_potential = power_lines
sidewalk_damage = self.cleaned_data.get('sidewalk_damage')
if sidewalk_damage:
plot.sidewalk_damage = sidewalk_damage
import_event, created = ImportEvent.objects.get_or_create(file_name='site_add',)
plot.import_event = import_event
pnt = Point(self.cleaned_data.get('lon'),self.cleaned_data.get('lat'),srid=4326)
plot.geometry = pnt
plot.last_updated_by = request.user
plot.save()
species = self.cleaned_data.get('species_id')
height = self.cleaned_data.get('height')
canopy_height = self.cleaned_data.get('canopy_height')
dbh = self.cleaned_data.get('dbh')
crown_width = self.cleaned_data.get('crown_width')
dbh_type = self.cleaned_data.get('dbh_type')
condition = self.cleaned_data.get('condition')
canopy_condition = self.cleaned_data.get('canopy_condition')
new_tree = Tree()
if species:
spp = Species.objects.filter(symbol=species)
if spp:
new_tree.species=spp[0]
if crown_width:
new_tree.crown_width = crown_width
if height:
new_tree.height = height
if canopy_height:
new_tree.canopy_height = canopy_height
if dbh:
if dbh_type == 'circumference':
dbh = dbh / math.pi
new_tree.dbh = dbh
if condition:
new_tree.condition = condition
if canopy_condition:
new_tree.canopy_condition = canopy_condition
new_tree.import_event = import_event
new_tree.last_updated_by = request.user
new_tree.plot = plot
new_tree.save()
#print new_tree.__dict__
fauna = self.cleaned_data.get('fauna')
if fauna:
print 'fauna',fauna
fauna_dict = dict(Choices().get_field_choices('fauna'))
for f in fauna:
fauna = TreeFauna()
fauna.reported_by = request.user
fauna.key = f
fauna.value = datetime.now()
fauna.fauna = fauna_dict[f] # or random string
fauna.tree = new_tree
fauna.save()
return plot
def save(self,request):
from django.contrib.gis.geos import Point
species = self.cleaned_data.get('species_id')
if species:
spp = Species.objects.filter(symbol=species)
if spp:
new_tree = Tree(species=spp[0])
else:
new_tree = Tree()
else:
new_tree = Tree()
address = self.cleaned_data.get('edit_address_street')
if address:
new_tree.address_street = address
new_tree.geocoded_address = address
city = self.cleaned_data.get('edit_address_city')
geo_address = self.cleaned_data.get('geocode_address')
if geo_address:
new_tree.geocoded_address = geo_address
if city:
new_tree.address_city = city
zip_ = self.cleaned_data.get('edit_address_zip')
if zip_:
new_tree.address_zip = zip_
plot_width = self.cleaned_data.get('plot_width')
plot_width_in = self.cleaned_data.get('plot_width_in')
if plot_width:
new_tree.plot_width = float(plot_width)
if plot_width_in:
new_tree.plot_width = new_tree.plot_width + (float(plot_width_in) / 12)
plot_length = self.cleaned_data.get('plot_length')
plot_length_in = self.cleaned_data.get('plot_length_in')
if plot_length:
new_tree.plot_length = float(plot_length)
if plot_length_in:
new_tree.plot_length = new_tree.plot_length + (float(plot_length_in) / 12)
plot_type = self.cleaned_data.get('plot_type')
if plot_type:
new_tree.plot_type = plot_type
power_lines = self.cleaned_data.get('power_lines')
if power_lines != "":
new_tree.powerline_conflict_potential = power_lines
height = self.cleaned_data.get('height')
if height:
new_tree.height = height
canopy_height = self.cleaned_data.get('canopy_height')
if canopy_height:
new_tree.canopy_height = canopy_height
dbh = self.cleaned_data.get('dbh')
dbh_type = self.cleaned_data.get('dbh_type')
if dbh:
if dbh_type == 'circumference':
dbh = dbh / math.pi
new_tree.dbh = dbh
sidewalk_damage = self.cleaned_data.get('sidewalk_damage')
if sidewalk_damage:
new_tree.sidewalk_damage = sidewalk_damage
condition = self.cleaned_data.get('condition')
if condition:
new_tree.condition = condition
canopy_condition = self.cleaned_data.get('canopy_condition')
if canopy_condition:
new_tree.canopy_condition = canopy_condition
import_event, created = ImportEvent.objects.get_or_create(file_name='site_add',)
new_tree.import_event = import_event
pnt = Point(self.cleaned_data.get('lon'),self.cleaned_data.get('lat'),srid=4326)
new_tree.geometry = pnt
new_tree.last_updated_by = request.user
new_tree.save()
return new_tree
def save(self,request):
from django.contrib.gis.geos import Point
plot = Plot()
plot.data_owner = request.user
address = self.cleaned_data.get('edit_address_street')
if address:
plot.address_street = address
plot.geocoded_address = address
city = self.cleaned_data.get('edit_address_city')
geo_address = self.cleaned_data.get('geocode_address')
if geo_address:
plot.geocoded_address = geo_address
if city:
plot.address_city = city
zip_ = self.cleaned_data.get('edit_address_zip')
if zip_:
plot.address_zip = zip_
plot_width = self.cleaned_data.get('plot_width')
plot_width_in = self.cleaned_data.get('plot_width_in')
if plot_width:
plot.width = float(plot_width)
if plot_width_in:
plot.width = plot.width + (float(plot_width_in) / 12)
plot_length = self.cleaned_data.get('plot_length')
plot_length_in = self.cleaned_data.get('plot_length_in')
if plot_length:
plot.length = float(plot_length)
if plot_length_in:
plot.length = plot.length + (float(plot_length_in) / 12)
plot_type = self.cleaned_data.get('plot_type')
if plot_type:
plot.type = plot_type
power_lines = self.cleaned_data.get('power_lines')
if power_lines != "":
plot.powerline_conflict_potential = power_lines
sidewalk_damage = self.cleaned_data.get('sidewalk_damage')
if sidewalk_damage:
plot.sidewalk_damage = sidewalk_damage
owner_additional_id = self.cleaned_data.get('owner_additional_id')
if owner_additional_id:
plot.owner_additional_id = owner_additional_id
import_event, created = ImportEvent.objects.get_or_create(file_name='site_add',)
plot.import_event = import_event
pnt = Point(self.cleaned_data.get('lon'),self.cleaned_data.get('lat'),srid=4326)
plot.geometry = pnt
plot.last_updated_by = request.user
plot.save()
species = self.cleaned_data.get('species_id')
species_other1 = self.cleaned_data.get('species_other1')
species_other2 = self.cleaned_data.get('species_other2')
height = self.cleaned_data.get('height')
canopy_height = self.cleaned_data.get('canopy_height')
dbh = self.cleaned_data.get('dbh')
dbh_type = self.cleaned_data.get('dbh_type')
condition = self.cleaned_data.get('condition')
canopy_condition = self.cleaned_data.get('canopy_condition')
#TODO: fix this
pests = self.cleaned_data.get('pests')
if species or height or canopy_height or dbh or \
condition or canopy_condition or pests:
# print species, height, canopy_height, dbh, condition, canopy_condition
if species:
spp = Species.objects.filter(id=species)
if spp:
new_tree = Tree(species=spp[0])
else:
new_tree = Tree()
else:
new_tree = Tree()
new_tree.pests = pests
if species_other1:
new_tree.species_other1 = species_other1
if species_other2:
new_tree.species_other2 = species_other2
if height:
new_tree.height = height
if canopy_height:
new_tree.canopy_height = canopy_height
if dbh:
if dbh_type == 'circumference':
new_tree.dbh = dbh / math.pi
else:
new_tree.dbh = dbh
if condition:
new_tree.condition = condition
if canopy_condition:
new_tree.canopy_condition = canopy_condition
new_tree.import_event = import_event
new_tree.last_updated_by = request.user
new_tree.plot = plot
new_tree.save()
#print new_tree.__dict__
return plot
def save(self, request):
from django.contrib.gis.geos import Point
plot = Plot()
plot.data_owner = request.user
address = self.cleaned_data.get('edit_address_street')
if address:
plot.address_street = address
plot.geocoded_address = address
city = self.cleaned_data.get('edit_address_city')
geo_address = self.cleaned_data.get('geocode_address')
if geo_address:
plot.geocoded_address = geo_address
if city:
plot.address_city = city
zip_ = self.cleaned_data.get('edit_address_zip')
if zip_:
plot.address_zip = zip_
plot_width = self.cleaned_data.get('plot_width')
plot_width_in = self.cleaned_data.get('plot_width_in')
if plot_width:
plot.width = float(plot_width)
if plot_width_in:
plot.width = plot.width + (float(plot_width_in) / 12)
plot_length = self.cleaned_data.get('plot_length')
plot_length_in = self.cleaned_data.get('plot_length_in')
if plot_length:
plot.length = float(plot_length)
if plot_length_in:
plot.length = plot.length + (float(plot_length_in) / 12)
plot_type = self.cleaned_data.get('plot_type')
if plot_type:
plot.type = plot_type
power_lines = self.cleaned_data.get('power_lines')
if power_lines != "":
plot.powerline_conflict_potential = power_lines
sidewalk_damage = self.cleaned_data.get('sidewalk_damage')
if sidewalk_damage:
plot.sidewalk_damage = sidewalk_damage
owner_additional_id = self.cleaned_data.get('owner_additional_id')
if owner_additional_id:
plot.owner_additional_id = owner_additional_id
import_event, created = ImportEvent.objects.get_or_create(
file_name='site_add', )
plot.import_event = import_event
pnt = Point(self.cleaned_data.get('lon'),
self.cleaned_data.get('lat'),
srid=4326)
plot.geometry = pnt
plot.last_updated_by = request.user
plot.save()
species = self.cleaned_data.get('species_id')
species_other1 = self.cleaned_data.get('species_other1')
species_other2 = self.cleaned_data.get('species_other2')
height = self.cleaned_data.get('height')
canopy_height = self.cleaned_data.get('canopy_height')
dbh = self.cleaned_data.get('dbh')
dbh_type = self.cleaned_data.get('dbh_type')
condition = self.cleaned_data.get('condition')
canopy_condition = self.cleaned_data.get('canopy_condition')
#TODO: fix this
pests = self.cleaned_data.get('pests')
if species or height or canopy_height or dbh or \
condition or canopy_condition or pests:
# print species, height, canopy_height, dbh, condition, canopy_condition
if species:
spp = Species.objects.filter(id=species)
if spp:
new_tree = Tree(species=spp[0])
else:
new_tree = Tree()
else:
new_tree = Tree()
new_tree.pests = pests
if species_other1:
new_tree.species_other1 = species_other1
if species_other2:
new_tree.species_other2 = species_other2
if height:
new_tree.height = height
if canopy_height:
new_tree.canopy_height = canopy_height
if dbh:
if dbh_type == 'circumference':
new_tree.dbh = dbh / math.pi
else:
new_tree.dbh = dbh
if condition:
new_tree.condition = condition
if canopy_condition:
new_tree.canopy_condition = canopy_condition
new_tree.import_event = import_event
new_tree.last_updated_by = request.user
new_tree.plot = plot
new_tree.save()
#print new_tree.__dict__
return plot