def filter_impact_function(hazard=None, exposure=None):
"""Filter impact functions
:param hazard: URL or filepath of hazard
:type hazard: str
:param exposure: URL or filepath of exposure
:type exposure: str
:return: List of Impact Function metadata as dict
:rtype: list(dict)
"""
# download the file first
arguments = CommandLineArguments()
if hazard and exposure:
hazard_file = download_layer(hazard)
exposure_file = download_layer(exposure)
arguments.hazard = hazard_file
arguments.exposure = exposure_file
else:
arguments.hazard = None
arguments.exposure = None
ifs = get_impact_function_list(arguments)
result = [
{
'id': f.metadata().as_dict()['id'],
'name': f.metadata().as_dict()['name']
} for f in ifs]
LOGGER.debug(result)
return result
def filter_impact_function(hazard=None, exposure=None):
"""Filter impact functions
:param hazard: URL or filepath of hazard
:type hazard: str
:param exposure: URL or filepath of exposure
:type exposure: str
:return: List of Impact Function metadata as dict
:rtype: list(dict)
"""
# download the file first
arguments = CommandLineArguments()
if hazard and exposure:
hazard_file = download_layer(hazard)
exposure_file = download_layer(exposure)
arguments.hazard = hazard_file
arguments.exposure = exposure_file
else:
arguments.hazard = None
arguments.exposure = None
ifs = get_impact_function_list(arguments)
result = [{
'id': f.metadata().as_dict()['id'],
'name': f.metadata().as_dict()['name']
} for f in ifs]
LOGGER.debug(result)
return result
def run_analysis(hazard,
exposure,
function,
aggregation=None,
generate_report=False):
"""Run analysis"""
hazard_file = download_layer(hazard)
exposure_file = download_layer(exposure)
aggregation_file = None
if aggregation:
aggregation_file = download_layer(aggregation)
arguments = CommandLineArguments()
arguments.hazard = hazard_file
arguments.exposure = exposure_file
arguments.aggregation = aggregation_file
arguments.impact_function = function
# generate names for impact results
# create date timestamp
date_folder = datetime.datetime.now().strftime('%Y%m%d')
deploy_dir = os.path.join(DEPLOY_OUTPUT_DIR, date_folder)
try:
os.mkdir(deploy_dir)
except:
pass
# create temporary file name without extension
tmp = tempfile.mktemp(dir=deploy_dir)
arguments.output_file = tmp
impact_layer = run_impact_function(arguments)
if impact_layer.is_raster:
new_name = '%s.tif' % tmp
else:
new_name = '%s.shp' % tmp
# generating qml styles file
qgis_impact_layer = get_layer(new_name)
generate_styles(impact_layer, qgis_impact_layer)
# if asked to generate report
if generate_report:
arguments.report_template = ''
arguments.output_file = new_name
build_report(arguments)
# archiving the layer
new_name = archive_layer(new_name)
# new_name is a file path to archived layer
# we need to return the url
new_basename = os.path.basename(new_name)
output_url = urlparse.urljoin(DEPLOY_OUTPUT_URL,
'%s/%s' % (date_folder, new_basename))
return output_url
def run_analysis(hazard, exposure, function, aggregation=None,
generate_report=False):
"""Run analysis"""
hazard_file = download_layer(hazard)
exposure_file = download_layer(exposure)
aggregation_file = None
if aggregation:
aggregation_file = download_layer(aggregation)
arguments = CommandLineArguments()
arguments.hazard = hazard_file
arguments.exposure = exposure_file
arguments.aggregation = aggregation_file
arguments.impact_function = function
# generate names for impact results
# create date timestamp
date_folder = datetime.datetime.now().strftime('%Y%m%d')
deploy_dir = os.path.join(DEPLOY_OUTPUT_DIR, date_folder)
try:
os.mkdir(deploy_dir)
except:
pass
# create temporary file name without extension
tmp = tempfile.mktemp(dir=deploy_dir)
arguments.output_file = tmp
impact_layer = run_impact_function(arguments)
if impact_layer.is_raster:
new_name = '%s.tif' % tmp
else:
new_name = '%s.shp' % tmp
# generating qml styles file
qgis_impact_layer = get_layer(new_name)
generate_styles(impact_layer, qgis_impact_layer)
# if asked to generate report
if generate_report:
arguments.report_template = ''
arguments.output_file = new_name
build_report(arguments)
# archiving the layer
new_name = archive_layer(new_name)
# new_name is a file path to archived layer
# we need to return the url
new_basename = os.path.basename(new_name)
output_url = urlparse.urljoin(
DEPLOY_OUTPUT_URL,
'%s/%s' % (date_folder, new_basename)
)
return output_url
