def write_aggregate_read_struct(attribute_dic=None,
buildings_usage_classification='HAZUS' ):
handle, file_name = tempfile.mkstemp('.csv','test_aggregate_struct_')
os.close(handle)
file_name2delete, attribute_dic = write_test_file(
file_name,attribute_dic)
# Let's get the current dir position
this_dir, tail = path.split( __file__)
#print "eqrm_dir", eqrm_dir
if this_dir == '':
this_dir = '.'
eqrm_dir = this_dir+sep+'..'
attribute_conversions_extended = copy.deepcopy(attribute_conversions)
attribute_conversions_extended['UFI'] = int
aggregate_building_db(file_name)
# Build lookup table for building parameters
building_classification_tag = ''
damage_extent_tag = ''
default_input_dir = join(eqrm_dir,
'resources','data','')
sites=Structures.from_csv(
file_name,
building_classification_tag,
damage_extent_tag,
default_input_dir=default_input_dir,
eqrm_dir=eqrm_dir,
buildings_usage_classification=buildings_usage_classification
)
os.remove(file_name2delete)
return attribute_dic, sites
def write_aggregate_read_csv(attribute_dic=None,
buildings_usage_classification='HAZUS' ):
handle, file_name = tempfile.mkstemp('.csv','test_aggregate_csv_')
os.close(handle)
file_name, attribute_dic = write_test_file(file_name,attribute_dic)
attribute_conversions_extended = copy.deepcopy(attribute_conversions)
attribute_conversions_extended['UFI'] = int
attribute_conversions_extended['CD_CODE'] = int
file_out = file_name + "out"
aggregate_building_db(file_name, file_out)
site = csv_to_arrays(file_out,
**attribute_conversions_extended)
os.remove(file_name)
os.remove(file_out)
return attribute_dic, site
