def kml_done(self):
return """
<Placemark id="%s">
<visibility>1</visibility>
<styleUrl>#%s-default</styleUrl>
%s
</Placemark>
""" % ( self.uid, self.model_uid(),
asKml(self.geometry.transform( settings.GEOMETRY_CLIENT_SRID, clone=True ))
)
def kml_done(self):
return """
<Placemark id="%s">
<visibility>1</visibility>
<styleUrl>#%s-default</styleUrl>
%s
</Placemark>
""" % (self.uid, self.model_uid(),
asKml(
self.geometry.transform(settings.GEOMETRY_CLIENT_SRID,
clone=True)))
def kml(self):
#the following list appendation strategy was a good 10% faster than string concatenation
#(biggest improvement however came by adding/populating a geometry_client column in leaseblock table)
combined_kml_list = []
if len(self.lease_blocks) == 0: #empty result
leaseblock_ids = []
combined_kml_list.append('<Folder id="%s"><name>%s -- 0 Leaseblocks</name><visibility>0</visibility><open>0</open>' %(self.uid, self.name))
else:
leaseblock_ids = [int(id) for id in self.lease_blocks.split(',')]
combined_kml_list.append('<Folder id="%s"><name>%s</name><visibility>0</visibility><open>0</open>' %(self.uid, self.name))
combined_kml_list.append('<LookAt><longitude>-73.5</longitude><latitude>39</latitude><heading>0</heading><range>600000</range></LookAt>')
combined_kml_list.append('<styleUrl>#%s-default</styleUrl>' % (self.model_uid()))
combined_kml_list.append('%s' % self.leaseblock_style())
print 'Generating KML for %s Lease Blocks' % len(leaseblock_ids)
start_time = time.time()
leaseblocks = LeaseBlock.objects.filter(pk__in=leaseblock_ids)
for leaseblock in leaseblocks:
try:
kml = """
<Placemark>
<visibility>1</visibility>
<styleUrl>#%s-leaseblock</styleUrl>
<ExtendedData>
<Data name="header"><value>%s</value></Data>
<Data name="prot_number"><value>%s</value></Data>
<Data name="depth_range_output"><value>%s</value></Data>
<Data name="substrate"><value>%s</value></Data>
<Data name="sediment"><value>%s</value></Data>
<Data name="wea_label"><value>%s</value></Data>
<Data name="wea_state_name"><value>%s</value></Data>
<Data name="distance_to_shore"><value>%.0f</value></Data>
<Data name="distance_to_awc"><value>%.0f</value></Data>
<Data name="wind_speed_output"><value>%s</value></Data>
<Data name="ais_density"><value>%s</value></Data>
<Data name="user"><value>%s</value></Data>
<Data name="modified"><value>%s</value></Data>
</ExtendedData>
%s
</Placemark>
""" % ( self.model_uid(), self.name, leaseblock.prot_numb,
leaseblock.depth_range_output,
leaseblock.majority_seabed, #LeaseBlock Update: might change back to leaseblock.substrate
leaseblock.majority_sediment, #TODO: might change sediment to a more user friendly output
leaseblock.wea_label,
leaseblock.wea_state_name,
leaseblock.avg_distance, leaseblock.awc_min_distance,
#LeaseBlock Update: added the following two entries (min and max) to replace avg wind speed for now
leaseblock.wind_speed_output,
leaseblock.ais_density,
self.user, self.date_modified.replace(microsecond=0),
#asKml(leaseblock.geometry.transform( settings.GEOMETRY_CLIENT_SRID, clone=True ))
asKml(leaseblock.geometry_client)
)
except:
#this is in place to handle (at least one - "NJ18-05_6420") instance in which null value was used in float field max_distance
print "The following leaseblock threw an error while generating KML: %s" %leaseblock.prot_numb
continue
combined_kml_list.append(kml )
combined_kml_list.append("</Folder>")
combined_kml = ''.join(combined_kml_list)
elapsed_time = time.time() - start_time
print 'Finished generating KML (with a list) for %s Lease Blocks in %s seconds' % (len(leaseblock_ids), elapsed_time)
return combined_kml
def kml(self):
#the following list appendation strategy was a good 10% faster than string concatenation
#(biggest improvement however came by adding/populating a geometry_client column in leaseblock table)
combined_kml_list = []
if len(self.planning_units) == 0: #empty result
planningunit_ids = []
combined_kml_list.append(
'<Folder id="%s"><name>%s -- 0 Planning Units</name><visibility>0</visibility><open>0</open>'
% (self.uid, self.name))
else:
planningunit_ids = [
int(id) for id in self.planning_units.split(',')
]
combined_kml_list.append(
'<Folder id="%s"><name>%s</name><visibility>0</visibility><open>0</open>'
% (self.uid, self.name))
combined_kml_list.append(
'<LookAt><longitude>-73.5</longitude><latitude>39</latitude><heading>0</heading><range>600000</range></LookAt>'
)
combined_kml_list.append('<styleUrl>#%s-default</styleUrl>' %
(self.model_uid()))
combined_kml_list.append('%s' % self.planningunit_style())
print('Generating KML for %s Planning Units' % len(planningunit_ids))
start_time = time.time()
planningunits = PlanningUnit.objects.filter(pk__in=planningunit_ids)
for planningunit in planningunits:
try:
kml = """
<Placemark>
<visibility>1</visibility>
<styleUrl>#%s-planningunit</styleUrl>
<ExtendedData>
<Data name="header"><value>%s</value></Data>
<!--
<Data name="prot_number"><value>s</value></Data>
<Data name="depth_range_output"><value>s</value></Data>
<Data name="substrate"><value>s</value></Data>
<Data name="sediment"><value>s</value></Data>
<Data name="wea_label"><value>s</value></Data>
<Data name="wea_state_name"><value>s</value></Data>
<Data name="distance_to_shore"><value>.0f</value></Data>
<Data name="distance_to_awc"><value>.0f</value></Data>
<Data name="wind_speed_output"><value>s</value></Data>
<Data name="ais_density"><value>s</value></Data>
-->
<Data name="user"><value>%s</value></Data>
<Data name="modified"><value>%s</value></Data>
</ExtendedData>
%s
</Placemark>
""" % (
self.model_uid(),
self.name,
# planningunit.prot_numb,
# planningunit.depth_range_output,
# planningunit.majority_seabed, #LeaseBlock Update: might change back to leaseblock.substrate
# planningunit.majority_sediment, #TODO: might change sediment to a more user friendly output
# planningunit.wea_label,
# planningunit.wea_state_name,
# planningunit.avg_distance,
# planningunit.awc_min_distance,
# #LeaseBlock Update: added the following two entries (min and max) to replace avg wind speed for now
# planningunit.wind_speed_output,
# planningunit.ais_density,
self.user,
self.date_modified.replace(microsecond=0),
#asKml(leaseblock.geometry.transform( settings.GEOMETRY_CLIENT_SRID, clone=True ))
asKml(planningunit.geometry_client))
except:
#this is in place to handle (at least one - "NJ18-05_6420") instance in which null value was used in float field max_distance
# print("The following planning unit threw an error while generating KML: %s" %planningunit.prot_numb)
continue
combined_kml_list.append(kml)
combined_kml_list.append("</Folder>")
combined_kml = ''.join(combined_kml_list)
elapsed_time = time.time() - start_time
print(
'Finished generating KML (with a list) for %s Planning Units in %s seconds'
% (len(planningunit_ids), elapsed_time))
return combined_kml