def create(cls, parent, lat, lng, name, source):
pi = PointIndex(
parent=parent,
lng=float(lng),
lat=float(lat),
name=name.strip().lower(),
source=source.strip().lower())
# Longitude (x)
var_min = -180 * pow(10, 5)
var_max = 180 * pow(10, 5)
varval = int(lng * pow(10, 5))
intervals = interval.get_index_intervals(varval, var_min, var_max)
for index,value in intervals.iteritems():
model.IntegerProperty(name=index.replace('i', 'x'))._store_value(pi, value)
# Latitude (y)
var_min = -90 * pow(10, 5)
var_max = 90 * pow(10, 5)
varval = int(lat * pow(10, 5))
intervals = interval.get_index_intervals(varval, var_min, var_max)
for index,value in intervals.iteritems():
model.IntegerProperty(name=index.replace('i', 'y'))._store_value(pi, value)
pi._fix_up_properties()
return pi
def wrapper(doc, bulkload_state):
varvals = simplejson.loads(doc)['v']
varname, index = i.split('-')
iname = 'i%s' % index
# TODO: Read varname ranges from /tools/python/worldclimmetadata.csv
if varname == 'a':
var_min = -431
var_max = 8233
varval = int(varvals['a'])
elif varname == 'b1':
var_min = -290
var_max = 320
varval = int(varvals['b1'])
elif varname == 'b12':
var_min = 0
var_max = 11401
varval = int(varvals['b12'])
else:
logging.info('Unsupported range variable %s' % varname)
return None
intervals = interval.get_index_intervals(varval, var_min, var_max)
if len(intervals) == 0:
logging.info('No intervals for varname: %s varval: %s var_min: %s var_max: %s' % (varname, varval, var_min, var_max))
else:
for index,value in intervals.iteritems():
if index == iname:
return value
return None
def add_dynamic_properties(input_dict, instance, bulkload_state_copy):
"""Adds dynamic properties from the CSV input_dict to the entity instance."""
val = int(input_dict['avg_Band1'].split('.')[0])
var_min = -454
var_max = 8550
for k,v in interval.get_index_intervals(val, var_min, var_max).iteritems():
instance[k] = v
return instance
