def pipeline_damage_analysis_bulk_input(self, pipelines, hazard_type,
hazard_dataset_id):
"""Run pipeline damage analysis for multiple pipelines.
Args:
pipelines (list): multiple pipelines from pieline dataset.
hazard_type (str): Hazard type
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
ds_results (list): A list of ordered dictionaries with pipeline damage values and other data/metadata.
damage_results (list): A list of ordered dictionaries with pipeline damage metadata.
"""
# Get Fragility key
fragility_key = self.get_parameter("fragility_key")
if fragility_key is None:
fragility_key = PipelineUtil.DEFAULT_TSU_FRAGILITY_KEY if hazard_type == 'tsunami' else \
PipelineUtil.DEFAULT_EQ_FRAGILITY_KEY
self.set_parameter("fragility_key", fragility_key)
# get fragility set
fragility_sets = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), pipelines,
fragility_key)
# Get Liquefaction Fragility Key
liquefaction_fragility_key = self.get_parameter(
"liquefaction_fragility_key")
if hazard_type == "earthquake" and liquefaction_fragility_key is None:
liquefaction_fragility_key = PipelineUtil.LIQ_FRAGILITY_KEY
# Liquefaction
use_liquefaction = False
if hazard_type == "earthquake" and self.get_parameter(
"use_liquefaction") is not None:
use_liquefaction = self.get_parameter("use_liquefaction")
# Get geology dataset id
geology_dataset_id = self.get_parameter(
"liquefaction_geology_dataset_id")
fragility_sets_liq = None
if geology_dataset_id is not None:
fragility_sets_liq = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), pipelines,
liquefaction_fragility_key)
values_payload = []
values_payload_liq = [] # for liquefaction if used
unmapped_pipelines = []
mapped_pipelines = []
for pipeline in pipelines:
# if find a match fragility for that pipeline
if pipeline["id"] in fragility_sets.keys():
fragility_set = fragility_sets[pipeline["id"]]
location = GeoUtil.get_location(pipeline)
loc = str(location.y) + "," + str(location.x)
demands = fragility_set.demand_types
units = fragility_set.demand_units
value = {"demands": demands, "units": units, "loc": loc}
values_payload.append(value)
mapped_pipelines.append(pipeline)
# Check if liquefaction is applicable
if use_liquefaction and \
geology_dataset_id is not None and \
fragility_sets_liq is not None and \
pipeline["id"] in fragility_sets_liq:
fragility_set_liq = fragility_sets_liq[pipeline["id"]]
demands_liq = fragility_set_liq.demand_types
units_liq = fragility_set_liq.demand_units
value_liq = {
"demands": demands_liq,
"units": units_liq,
"loc": loc
}
values_payload_liq.append(value_liq)
else:
unmapped_pipelines.append(pipeline)
del pipelines
if hazard_type == 'earthquake':
hazard_resp = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tsunami':
hazard_resp = self.hazardsvc.post_tsunami_hazard_values(
hazard_dataset_id, values_payload)
else:
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
# Check if liquefaction is applicable
if use_liquefaction is True and \
fragility_sets_liq is not None and \
geology_dataset_id is not None:
liquefaction_resp = self.hazardsvc.post_liquefaction_values(
hazard_dataset_id, geology_dataset_id, values_payload_liq)
# calculate LS and DS
ds_results = []
damage_results = []
for i, pipeline in enumerate(mapped_pipelines):
# default
pgv_repairs = None
pgd_repairs = 0.0
total_repair_rate = None
break_rate = None
leak_rate = None
failure_probability = None
num_pgv_repairs = None
num_pgd_repairs = 0.0
num_repairs = None
liq_hazard_vals = None
liq_demand_types = None
liq_demand_units = None
liquefaction_prob = None
ds_result = dict()
damage_result = dict()
ds_result['guid'] = pipeline['properties']['guid']
damage_result['guid'] = pipeline['properties']['guid']
fragility_set = fragility_sets[pipeline["id"]]
# TODO assume there is only one curve
fragility_curve = fragility_set.fragility_curves[0]
hazard_vals = AnalysisUtil.update_precision_of_lists(
hazard_resp[i]["hazardValues"])
demand_types = hazard_resp[i]["demands"]
demand_units = hazard_resp[i]["units"]
hval_dict = dict()
for j, d in enumerate(fragility_set.demand_types):
hval_dict[d] = hazard_vals[j]
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_resp[i]["hazardValues"]):
pipeline_args = fragility_set.construct_expression_args_from_inventory(
pipeline)
pgv_repairs = \
fragility_curve.solve_curve_expression(
hval_dict, fragility_set.curve_parameters, **pipeline_args)
# Convert PGV repairs to SI units
pgv_repairs = PipelineUtil.convert_result_unit(
fragility_curve.return_type["unit"], pgv_repairs)
length = PipelineUtil.get_pipe_length(pipeline)
# Number of PGV repairs
num_pgv_repairs = pgv_repairs * length
# Check if liquefaction is applicable
if use_liquefaction is True \
and fragility_sets_liq is not None \
and geology_dataset_id is not None \
and liquefaction_resp is not None:
fragility_set_liq = fragility_sets_liq[pipeline["id"]]
# TODO assume there is only one curve
liq_fragility_curve = fragility_set_liq.fragility_curves[0]
liq_hazard_vals = AnalysisUtil.update_precision_of_lists(
liquefaction_resp[i]["pgdValues"])
liq_demand_types = liquefaction_resp[i]["demands"]
liq_demand_units = liquefaction_resp[i]["units"]
liquefaction_prob = liquefaction_resp[i]['liqProbability']
liq_hval_dict = dict()
for j, d in enumerate(liquefaction_resp[i]["demands"]):
liq_hval_dict[d] = liq_hazard_vals[j]
# !important! removing the liqProbability and passing in the "diameter"
# no fragility is actually using liqProbability
pipeline_args = fragility_set_liq.construct_expression_args_from_inventory(
pipeline)
pgd_repairs = \
liq_fragility_curve.solve_curve_expression(
liq_hval_dict, fragility_set_liq.curve_parameters, **pipeline_args)
# Convert PGD repairs to SI units
pgd_repairs = PipelineUtil.convert_result_unit(
liq_fragility_curve.return_type["unit"], pgd_repairs)
num_pgd_repairs = pgd_repairs * length
# record results
if 'pipetype' in pipeline['properties']:
damage_result['pipeclass'] = pipeline['properties'][
'pipetype']
elif 'pipelinesc' in pipeline['properties']:
damage_result['pipeclass'] = pipeline['properties'][
'pipelinesc']
else:
damage_result['pipeclass'] = ""
break_rate = 0.2 * pgv_repairs + 0.8 * pgd_repairs
leak_rate = 0.8 * pgv_repairs + 0.2 * pgd_repairs
total_repair_rate = pgd_repairs + pgv_repairs
failure_probability = 1 - math.exp(-1.0 * break_rate * length)
num_repairs = num_pgd_repairs + num_pgv_repairs
ds_result['pgvrepairs'] = pgv_repairs
ds_result['pgdrepairs'] = pgd_repairs
ds_result['repairspkm'] = total_repair_rate
ds_result['breakrate'] = break_rate
ds_result['leakrate'] = leak_rate
ds_result['failprob'] = failure_probability
ds_result['numpgvrpr'] = num_pgv_repairs
ds_result['numpgdrpr'] = num_pgd_repairs
ds_result['numrepairs'] = num_repairs
ds_result[
'haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_vals, hazard_type)
damage_result['fragility_id'] = fragility_set.id
damage_result['demandtypes'] = demand_types
damage_result['demandunits'] = demand_units
damage_result['hazardtype'] = hazard_type
damage_result['hazardval'] = hazard_vals
# Check if liquefaction is applicable
if use_liquefaction is True \
and fragility_sets_liq is not None \
and geology_dataset_id is not None:
damage_result['liq_fragility_id'] = fragility_sets_liq[
pipeline["id"]].id
damage_result['liqdemandtypes'] = liq_demand_types
damage_result['liqdemandunits'] = liq_demand_units
damage_result['liqhazval'] = liq_hazard_vals
damage_result['liqprobability'] = liquefaction_prob
else:
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqprobability'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
# pipelines do not have matched mappings
for pipeline in unmapped_pipelines:
ds_result = dict()
ds_result['guid'] = pipeline['properties']['guid']
damage_result = dict()
damage_result['guid'] = pipeline['properties']['guid']
if 'pipetype' in pipeline['properties']:
damage_result['pipeclass'] = pipeline['properties']['pipetype']
elif 'pipelinesc' in pipeline['properties']:
damage_result['pipeclass'] = pipeline['properties'][
'pipelinesc']
else:
damage_result['pipeclass'] = ""
damage_result['fragility_id'] = None
damage_result['demandtypes'] = None
damage_result['demandunits'] = None
damage_result['hazardtype'] = None
damage_result['hazardval'] = None
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqhazval'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
return ds_results, damage_results
def road_damage_analysis_bulk_input(self, roads, hazard_type, hazard_dataset_id, use_hazard_uncertainty,
geology_dataset_id, fragility_key, use_liquefaction):
"""Run analysis for multiple roads.
Args:
roads (list): Multiple roads from input inventory set.
hazard_type (str): A hazard type of the hazard exposure (earthquake or tsunami).
hazard_dataset_id (str): An id of the hazard exposure.
use_hazard_uncertainty(bool): Flag to indicate use uncertainty or not
geology_dataset_id (str): An id of the geology for use in liquefaction.
fragility_key (str): Fragility key describing the type of fragility.
use_liquefaction (bool): Liquefaction. True for using liquefaction information to modify the damage,
False otherwise.
Returns:
list: A list of ordered dictionaries with road damage values and other data/metadata.
list: A list of ordered dictionaries with other road data/metadata.
"""
fragility_sets = self.fragilitysvc.match_inventory(self.get_input_dataset("dfr3_mapping_set"), roads,
fragility_key)
values_payload = []
mapped_roads = []
unmapped_roads = []
pgd_flag = True # for liquefaction
liquefaction_resp = None
for road in roads:
if road["id"] in fragility_sets.keys():
fragility_set = fragility_sets[road["id"]]
location = GeoUtil.get_location(road)
loc = str(location.y) + "," + str(location.x)
demands = fragility_set.demand_types
# for liquefaction
if any(demand.lower() != 'pgd' for demand in demands):
pgd_flag = False
units = fragility_set.demand_units
value = {
"demands": demands,
"units": units,
"loc": loc
}
values_payload.append(value)
mapped_roads.append(road)
else:
unmapped_roads.append(road)
del roads
# get hazard and liquefaction values
if hazard_type == 'earthquake':
hazard_resp = self.hazardsvc.post_earthquake_hazard_values(hazard_dataset_id, values_payload)
if pgd_flag and use_liquefaction and geology_dataset_id is not None:
liquefaction_resp = self.hazardsvc.post_liquefaction_values(hazard_dataset_id, geology_dataset_id,
values_payload)
elif hazard_type == 'tsunami':
hazard_resp = self.hazardsvc.post_tsunami_hazard_values(hazard_dataset_id, values_payload)
elif hazard_type == 'hurricane':
hazard_resp = self.hazardsvc.post_hurricane_hazard_values(hazard_dataset_id, values_payload)
else:
raise ValueError("The provided hazard type is not supported yet by this analysis")
# calculate LS and DS
ds_results = []
damage_results = []
for i, road in enumerate(mapped_roads):
dmg_probability = dict()
dmg_interval = dict()
demand_types_liq = None
demand_units_liq = None
liq_hazard_vals = None
liquefaction_prob = None
selected_fragility_set = fragility_sets[road["id"]]
hazard_std_dev = 0.0
if use_hazard_uncertainty:
raise ValueError("Uncertainty Not Implemented Yet.")
if isinstance(selected_fragility_set.fragility_curves[0], DFR3Curve):
hazard_vals = AnalysisUtil.update_precision_of_lists(hazard_resp[i]["hazardValues"])
demand_types = hazard_resp[i]["demands"]
demand_units = hazard_resp[i]["units"]
hval_dict = dict()
for j, d in enumerate(selected_fragility_set.demand_types):
hval_dict[d] = hazard_vals[j]
if not AnalysisUtil.do_hazard_values_have_errors(hazard_resp[i]["hazardValues"]):
road_args = selected_fragility_set.construct_expression_args_from_inventory(road)
dmg_probability = selected_fragility_set.calculate_limit_state(
hval_dict, inventory_type='road', **road_args)
# if there is liquefaction, overwrite the hazardval with liquefaction value
# recalculate dmg_probability and dmg_interval
if liquefaction_resp is not None and len(liquefaction_resp) > 0:
liq_hazard_vals = AnalysisUtil.update_precision_of_lists(liquefaction_resp[i]["pgdValues"])
demand_types_liq = liquefaction_resp[i]['demands']
demand_units_liq = liquefaction_resp[i]['units']
liquefaction_prob = liquefaction_resp[i]['liqProbability']
liq_hval_dict = dict()
for j, d in enumerate(liquefaction_resp[i]["demands"]):
liq_hval_dict[d] = liq_hazard_vals[j]
dmg_probability = selected_fragility_set.calculate_limit_state(
liq_hval_dict,
inventory_type='road',
**road_args)
dmg_interval = selected_fragility_set.calculate_damage_interval(dmg_probability,
hazard_type=hazard_type,
inventory_type="road")
else:
raise ValueError("One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
ds_result = dict()
ds_result['guid'] = road['properties']['guid']
ds_result.update(dmg_probability)
ds_result.update(dmg_interval)
ds_result['haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(hazard_vals, hazard_type)
damage_result = dict()
damage_result['guid'] = road['properties']['guid']
damage_result['fragility_id'] = selected_fragility_set.id
damage_result['demandtypes'] = demand_types
damage_result['demandunits'] = demand_units
damage_result['hazardtype'] = hazard_type
damage_result['hazardvals'] = hazard_vals
damage_result['liqdemandtypes'] = demand_types_liq
damage_result['liqdemandunits'] = demand_units_liq
damage_result['liqhazvals'] = liq_hazard_vals
damage_result['liqprobability'] = liquefaction_prob
ds_results.append(ds_result)
damage_results.append(damage_result)
for road in unmapped_roads:
ds_result = dict()
damage_result = dict()
ds_result['guid'] = road['properties']['guid']
damage_result['guid'] = road['properties']['guid']
damage_result['fragility_id'] = None
damage_result['demandtypes'] = None
damage_result['demandunits'] = None
damage_result['hazardtype'] = None
damage_result['hazardvals'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazvals'] = None
damage_result['liqprobability'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
return ds_results, damage_results
def waterfacilityset_damage_analysis_bulk_input(self, facilities,
hazard_type,
hazard_dataset_id):
"""Gets applicable fragilities and calculates damage
Args:
facilities (list): Multiple water facilities from input inventory set.
hazard_type (str): A hazard type of the hazard exposure (earthquake, tsunami, tornado, or hurricane).
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
list: A list of ordered dictionaries with water facility damage values
list: A list of ordered dictionaries with other water facility data/metadata
"""
# Liquefaction related variables
use_liquefaction = False
liquefaction_available = False
fragility_sets_liq = None
liquefaction_resp = None
geology_dataset_id = None
liq_hazard_vals = None
liq_demand_types = None
liq_demand_units = None
liquefaction_prob = None
loc = None
# Obtain the fragility key
fragility_key = self.get_parameter("fragility_key")
if fragility_key is None:
if hazard_type == 'tsunami':
fragility_key = self.DEFAULT_TSU_FRAGILITY_KEY
elif hazard_type == 'earthquake':
fragility_key = self.DEFAULT_EQ_FRAGILITY_KEY
else:
raise ValueError(
"Hazard type other than Earthquake and Tsunami are not currently supported."
)
self.set_parameter("fragility_key", fragility_key)
# Obtain the fragility set
fragility_sets = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), facilities,
fragility_key)
# Obtain the liquefaction fragility Key
liquefaction_fragility_key = self.get_parameter(
"liquefaction_fragility_key")
if hazard_type == "earthquake":
if self.get_parameter("use_liquefaction") is True:
if liquefaction_fragility_key is None:
liquefaction_fragility_key = self.DEFAULT_LIQ_FRAGILITY_KEY
use_liquefaction = self.get_parameter("use_liquefaction")
# Obtain the geology dataset
geology_dataset_id = self.get_parameter(
"liquefaction_geology_dataset_id")
if geology_dataset_id is not None:
fragility_sets_liq = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), facilities,
liquefaction_fragility_key)
if fragility_sets_liq is not None:
liquefaction_available = True
# Determine whether to use hazard uncertainty
uncertainty = self.get_parameter("use_hazard_uncertainty")
# Setup fragility translation structures
values_payload = []
values_payload_liq = []
unmapped_waterfacilities = []
mapped_waterfacilities = []
for facility in facilities:
if facility["id"] in fragility_sets.keys():
# Fill in generic details
fragility_set = fragility_sets[facility["id"]]
location = GeoUtil.get_location(facility)
loc = str(location.y) + "," + str(location.x)
demands = fragility_set.demand_types
units = fragility_set.demand_units
value = {"demands": demands, "units": units, "loc": loc}
values_payload.append(value)
mapped_waterfacilities.append(facility)
# Fill in liquefaction parameters
if liquefaction_available and facility[
"id"] in fragility_sets_liq:
fragility_set_liq = fragility_sets_liq[facility["id"]]
demands_liq = fragility_set_liq.demand_types
units_liq = fragility_set_liq.demand_units
value_liq = {
"demands": demands_liq,
"units": units_liq,
"loc": loc
}
values_payload_liq.append(value_liq)
else:
unmapped_waterfacilities.append(facility)
del facilities
if hazard_type == 'earthquake':
hazard_resp = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tsunami':
hazard_resp = self.hazardsvc.post_tsunami_hazard_values(
hazard_dataset_id, values_payload)
else:
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
# Check if liquefaction is applicable
if liquefaction_available:
liquefaction_resp = self.hazardsvc.post_liquefaction_values(
hazard_dataset_id, geology_dataset_id, values_payload_liq)
# Calculate LS and DS
facility_results = []
damage_results = []
for i, facility in enumerate(mapped_waterfacilities):
fragility_set = fragility_sets[facility["id"]]
limit_states = dict()
dmg_intervals = dict()
# Setup conditions for the analysis
hazard_std_dev = 0
if uncertainty:
hazard_std_dev = random.random()
if isinstance(fragility_set.fragility_curves[0], DFR3Curve):
hazard_vals = AnalysisUtil.update_precision_of_lists(
hazard_resp[i]["hazardValues"])
demand_types = hazard_resp[i]["demands"]
demand_units = hazard_resp[i]["units"]
hval_dict = dict()
for j, d in enumerate(fragility_set.demand_types):
hval_dict[d] = hazard_vals[j]
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_resp[i]["hazardValues"]):
facility_args = fragility_set.construct_expression_args_from_inventory(
facility)
limit_states = \
fragility_set.calculate_limit_state(hval_dict,
std_dev=hazard_std_dev,
inventory_type='water_facility',
**facility_args)
# Evaluate liquefaction: if it is not none, then liquefaction is available
if liquefaction_resp is not None:
fragility_set_liq = fragility_sets_liq[facility["id"]]
if isinstance(fragility_set_liq.fragility_curves[0],
DFR3Curve):
liq_hazard_vals = AnalysisUtil.update_precision_of_lists(
liquefaction_resp[i]["pgdValues"])
liq_demand_types = liquefaction_resp[i]["demands"]
liq_demand_units = liquefaction_resp[i]["units"]
liquefaction_prob = liquefaction_resp[i][
'liqProbability']
hval_dict_liq = dict()
for j, d in enumerate(
fragility_set_liq.demand_types):
hval_dict_liq[d] = liq_hazard_vals[j]
facility_liq_args = fragility_set_liq.construct_expression_args_from_inventory(
facility)
pgd_limit_states = \
fragility_set_liq.calculate_limit_state(
hval_dict_liq, std_dev=hazard_std_dev, inventory_type="water_facility",
**facility_liq_args)
else:
raise ValueError(
"One of the fragilities is in deprecated format. "
"This should not happen If you are seeing this please report the issue."
)
limit_states = AnalysisUtil.adjust_limit_states_for_pgd(
limit_states, pgd_limit_states)
dmg_intervals = fragility_set.calculate_damage_interval(
limit_states,
hazard_type=hazard_type,
inventory_type='water_facility')
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
# TODO: ideally, this goes into a single variable declaration section
facility_result = {
'guid': facility['properties']['guid'],
**limit_states,
**dmg_intervals
}
facility_result[
'haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_vals, hazard_type)
damage_result = dict()
damage_result['guid'] = facility['properties']['guid']
damage_result['fragility_id'] = fragility_set.id
damage_result['demandtypes'] = demand_types
damage_result['demandunits'] = demand_units
damage_result['hazardtype'] = hazard_type
damage_result['hazardvals'] = hazard_vals
if use_liquefaction and fragility_sets_liq and geology_dataset_id:
damage_result['liq_fragility_id'] = fragility_sets_liq[
facility["id"]].id
damage_result['liqdemandtypes'] = liq_demand_types
damage_result['liqdemandunits'] = liq_demand_units
damage_result['liqhazval'] = liq_hazard_vals
damage_result['liqprobability'] = liquefaction_prob
else:
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqprobability'] = None
facility_results.append(facility_result)
damage_results.append(damage_result)
for facility in unmapped_waterfacilities:
facility_result = dict()
damage_result = dict()
facility_result['guid'] = facility['properties']['guid']
damage_result['guid'] = facility['properties']['guid']
damage_result['fragility_id'] = None
damage_result['demandtypes'] = None
damage_result['demandunits'] = None
damage_result['hazardtype'] = None
damage_result['hazardvals'] = None
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqprobability'] = None
facility_results.append(facility_result)
damage_results.append(damage_result)
return facility_results, damage_results
def bridge_damage_analysis_bulk_input(self, bridges, hazard_type,
hazard_dataset_id):
"""Run analysis for multiple bridges.
Args:
bridges (list): Multiple bridges from input inventory set.
hazard_type (str): Hazard type, either earthquake, tornado, tsunami, or hurricane.
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
list: A list of ordered dictionaries with bridge damage values and other data/metadata.
"""
# Get Fragility key
fragility_key = self.get_parameter("fragility_key")
if fragility_key is None:
fragility_key = BridgeUtil.DEFAULT_TSUNAMI_HMAX_FRAGILITY_KEY if hazard_type == 'tsunami' else \
BridgeUtil.DEFAULT_FRAGILITY_KEY
self.set_parameter("fragility_key", fragility_key)
# Hazard Uncertainty
use_hazard_uncertainty = False
if hazard_type == "earthquake" and self.get_parameter(
"use_hazard_uncertainty") is not None:
use_hazard_uncertainty = self.get_parameter(
"use_hazard_uncertainty")
# Liquefaction
use_liquefaction = False
if hazard_type == "earthquake" and self.get_parameter(
"use_liquefaction") is not None:
use_liquefaction = self.get_parameter("use_liquefaction")
fragility_set = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), bridges, fragility_key)
values_payload = []
unmapped_bridges = []
mapped_bridges = []
for b in bridges:
bridge_id = b["id"]
if bridge_id in fragility_set:
location = GeoUtil.get_location(b)
loc = str(location.y) + "," + str(location.x)
demands = fragility_set[bridge_id].demand_types
units = fragility_set[bridge_id].demand_units
value = {"demands": demands, "units": units, "loc": loc}
values_payload.append(value)
mapped_bridges.append(b)
else:
unmapped_bridges.append(b)
# not needed anymore as they are already split into mapped and unmapped
del bridges
if hazard_type == 'earthquake':
hazard_vals = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tornado':
hazard_vals = self.hazardsvc.post_tornado_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tsunami':
hazard_vals = self.hazardsvc.post_tsunami_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'hurricane':
hazard_vals = self.hazardsvc.post_hurricane_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'flood':
hazard_vals = self.hazardsvc.post_flood_hazard_values(
hazard_dataset_id, values_payload)
else:
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
ds_results = []
damage_results = []
i = 0
for bridge in mapped_bridges:
ds_result = dict()
damage_result = dict()
dmg_probability = dict()
dmg_intervals = dict()
selected_fragility_set = fragility_set[bridge["id"]]
if isinstance(selected_fragility_set.fragility_curves[0],
DFR3Curve):
# Supports multiple demand types in same fragility
hazard_val = AnalysisUtil.update_precision_of_lists(
hazard_vals[i]["hazardValues"])
input_demand_types = hazard_vals[i]["demands"]
input_demand_units = hazard_vals[i]["units"]
hval_dict = dict()
j = 0
for d in selected_fragility_set.demand_types:
hval_dict[d] = hazard_val[j]
j += 1
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_vals[i]["hazardValues"]):
bridge_args = selected_fragility_set.construct_expression_args_from_inventory(
bridge)
dmg_probability = \
selected_fragility_set.calculate_limit_state(hval_dict,
inventory_type="bridge",
**bridge_args)
dmg_intervals = selected_fragility_set.calculate_damage_interval(
dmg_probability,
hazard_type=hazard_type,
inventory_type="bridge")
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
retrofit_cost = BridgeUtil.get_retrofit_cost(fragility_key)
retrofit_type = BridgeUtil.get_retrofit_type(fragility_key)
ds_result['guid'] = bridge['properties']['guid']
ds_result.update(dmg_probability)
ds_result.update(dmg_intervals)
ds_result[
'haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_val, hazard_type)
damage_result['guid'] = bridge['properties']['guid']
damage_result['fragility_id'] = selected_fragility_set.id
damage_result["retrofit"] = retrofit_type
damage_result["retrocost"] = retrofit_cost
damage_result["demandtypes"] = input_demand_types
damage_result["demandunits"] = input_demand_units
damage_result["hazardtype"] = hazard_type
damage_result["hazardval"] = hazard_val
# add spans to bridge output so mean damage calculation can use that info
if "spans" in bridge["properties"] and bridge["properties"][
"spans"] is not None:
if isinstance(bridge["properties"]["spans"],
str) and bridge["properties"]["spans"].isdigit():
damage_result['spans'] = int(bridge["properties"]["spans"])
elif isinstance(bridge["properties"]["spans"], int):
damage_result['spans'] = bridge["properties"]["spans"]
elif "SPANS" in bridge["properties"] and bridge["properties"][
"SPANS"] is not None:
if isinstance(bridge["properties"]["SPANS"],
str) and bridge["properties"]["SPANS"].isdigit():
damage_result['SPANS'] = int(bridge["properties"]["SPANS"])
elif isinstance(bridge["properties"]["SPANS"], int):
damage_result['SPANS'] = bridge["properties"]["SPANS"]
else:
damage_result['spans'] = 1
ds_results.append(ds_result)
damage_results.append(damage_result)
i += 1
for bridge in unmapped_bridges:
ds_result = dict()
damage_result = dict()
ds_result['guid'] = bridge['properties']['guid']
damage_result['guid'] = bridge['properties']['guid']
damage_result["retrofit"] = None
damage_result["retrocost"] = None
damage_result["demandtypes"] = None
damage_result['demandunits'] = None
damage_result["hazardtype"] = None
damage_result['hazardval'] = None
damage_result['spans'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
return ds_results, damage_results
def building_damage_analysis_bulk_input(self, buildings, retrofit_strategy, hazard_type, hazard_dataset_id):
"""Run analysis for multiple buildings.
Args:
buildings (list): Multiple buildings from input inventory set.
retrofit_strategy (list): building guid and its retrofit level 0, 1, 2, etc. This is Optional
hazard_type (str): Hazard type, either earthquake, tornado, or tsunami.
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
list: A list of ordered dictionaries with building damage values and other data/metadata.
"""
fragility_key = self.get_parameter("fragility_key")
fragility_sets = self.fragilitysvc.match_inventory(self.get_input_dataset("dfr3_mapping_set"), buildings,
fragility_key, retrofit_strategy)
values_payload = []
unmapped_buildings = []
mapped_buildings = []
for b in buildings:
bldg_id = b["id"]
if bldg_id in fragility_sets:
location = GeoUtil.get_location(b)
loc = str(location.y) + "," + str(location.x)
demands = AnalysisUtil.get_hazard_demand_types(b, fragility_sets[bldg_id], hazard_type)
units = fragility_sets[bldg_id].demand_units
value = {
"demands": demands,
"units": units,
"loc": loc
}
values_payload.append(value)
mapped_buildings.append(b)
else:
unmapped_buildings.append(b)
# not needed anymore as they are already split into mapped and unmapped
del buildings
if hazard_type == 'earthquake':
hazard_vals = self.hazardsvc.post_earthquake_hazard_values(hazard_dataset_id, values_payload)
elif hazard_type == 'tornado':
hazard_vals = self.hazardsvc.post_tornado_hazard_values(hazard_dataset_id, values_payload,
self.get_parameter('seed'))
elif hazard_type == 'tsunami':
hazard_vals = self.hazardsvc.post_tsunami_hazard_values(hazard_dataset_id, values_payload)
elif hazard_type == 'hurricane':
hazard_vals = self.hazardsvc.post_hurricane_hazard_values(hazard_dataset_id, values_payload)
elif hazard_type == 'flood':
hazard_vals = self.hazardsvc.post_flood_hazard_values(hazard_dataset_id, values_payload)
else:
raise ValueError("The provided hazard type is not supported yet by this analysis")
ds_results = []
damage_results = []
i = 0
for b in mapped_buildings:
ds_result = dict()
damage_result = dict()
dmg_probability = dict()
dmg_interval = dict()
b_id = b["id"]
selected_fragility_set = fragility_sets[b_id]
# TODO: Once all fragilities are migrated to new format, we can remove this condition
if isinstance(selected_fragility_set.fragility_curves[0], DFR3Curve):
# Supports multiple demand types in same fragility
b_haz_vals = AnalysisUtil.update_precision_of_lists(hazard_vals[i]["hazardValues"])
b_demands = hazard_vals[i]["demands"]
b_units = hazard_vals[i]["units"]
hval_dict = dict()
j = 0
# To calculate damage, use demand type name from fragility that will be used in the expression, instead
# of using what the hazard service returns. There could be a difference "SA" in DFR3 vs "1.07 SA"
# from hazard
for d in selected_fragility_set.demand_types:
hval_dict[d] = b_haz_vals[j]
j += 1
if not AnalysisUtil.do_hazard_values_have_errors(hazard_vals[i]["hazardValues"]):
building_args = selected_fragility_set.construct_expression_args_from_inventory(b)
building_period = selected_fragility_set.fragility_curves[0].get_building_period(
selected_fragility_set.curve_parameters, **building_args)
dmg_probability = selected_fragility_set.calculate_limit_state(
hval_dict, **building_args, period=building_period)
dmg_interval = selected_fragility_set.calculate_damage_interval(
dmg_probability, hazard_type=hazard_type, inventory_type="building")
else:
raise ValueError("One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
ds_result['guid'] = b['properties']['guid']
damage_result['guid'] = b['properties']['guid']
ds_result.update(dmg_probability)
ds_result.update(dmg_interval)
ds_result['haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(b_haz_vals, hazard_type)
damage_result['fragility_id'] = selected_fragility_set.id
damage_result['demandtype'] = b_demands
damage_result['demandunits'] = b_units
damage_result['hazardval'] = b_haz_vals
ds_results.append(ds_result)
damage_results.append(damage_result)
i += 1
for b in unmapped_buildings:
ds_result = dict()
damage_result = dict()
ds_result['guid'] = b['properties']['guid']
damage_result['guid'] = b['properties']['guid']
damage_result['fragility_id'] = None
damage_result['demandtype'] = None
damage_result['demandunits'] = None
damage_result['hazardval'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
return ds_results, damage_results
def epf_damage_analysis_bulk_input(self, epfs, hazard_type,
hazard_dataset_id):
"""Run analysis for multiple epfs.
Args:
epfs (list): Multiple epfs from input inventory set.
hazard_type (str): A type of hazard exposure (earthquake, tsunami, tornado, or hurricane).
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
list: A list of ordered dictionaries with epf damage values and other data/metadata.
"""
use_liquefaction = False
liquefaction_available = False
fragility_key = self.get_parameter("fragility_key")
fragility_set = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), epfs, fragility_key)
if hazard_type == "earthquake":
liquefaction_fragility_key = self.get_parameter(
"liquefaction_fragility_key")
if self.get_parameter("use_liquefaction") is True:
if liquefaction_fragility_key is None:
liquefaction_fragility_key = self.DEFAULT_LIQ_FRAGILITY_KEY
use_liquefaction = self.get_parameter("use_liquefaction")
# Obtain the geology dataset
geology_dataset_id = self.get_parameter(
"liquefaction_geology_dataset_id")
if geology_dataset_id is not None:
fragility_sets_liq = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), epfs,
liquefaction_fragility_key)
if fragility_sets_liq is not None:
liquefaction_available = True
values_payload = []
values_payload_liq = []
unmapped_epfs = []
mapped_epfs = []
for epf in epfs:
epf_id = epf["id"]
if epf_id in fragility_set:
location = GeoUtil.get_location(epf)
loc = str(location.y) + "," + str(location.x)
demands = fragility_set[epf_id].demand_types
units = fragility_set[epf_id].demand_units
value = {"demands": demands, "units": units, "loc": loc}
values_payload.append(value)
mapped_epfs.append(epf)
if liquefaction_available and epf["id"] in fragility_sets_liq:
fragility_set_liq = fragility_sets_liq[epf["id"]]
demands_liq = fragility_set_liq.demand_types
units_liq = fragility_set_liq.demand_units
value_liq = {
"demands": demands_liq,
"units": units_liq,
"loc": loc
}
values_payload_liq.append(value_liq)
else:
unmapped_epfs.append(epf)
if hazard_type == 'earthquake':
hazard_vals = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tornado':
hazard_vals = self.hazardsvc.post_tornado_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'hurricane':
# TODO: implement hurricane
raise ValueError('Hurricane hazard has not yet been implemented!')
elif hazard_type == 'tsunami':
hazard_vals = self.hazardsvc.post_tsunami_hazard_values(
hazard_dataset_id, values_payload)
else:
raise ValueError("Missing hazard type.")
liquefaction_resp = None
if liquefaction_available:
liquefaction_resp = self.hazardsvc.post_liquefaction_values(
hazard_dataset_id, geology_dataset_id, values_payload_liq)
ds_results = []
damage_results = []
i = 0
for epf in mapped_epfs:
ds_result = dict()
damage_result = dict()
selected_fragility_set = fragility_set[epf["id"]]
if isinstance(selected_fragility_set.fragility_curves[0],
DFR3Curve):
hazard_val = AnalysisUtil.update_precision_of_lists(
hazard_vals[i]["hazardValues"])
input_demand_types = hazard_vals[i]["demands"]
input_demand_units = hazard_vals[i]["units"]
hval_dict = dict()
j = 0
for d in selected_fragility_set.demand_types:
hval_dict[d] = hazard_val[j]
j += 1
epf_args = selected_fragility_set.construct_expression_args_from_inventory(
epf)
limit_states = selected_fragility_set.calculate_limit_state(
hval_dict, inventory_type='electric_facility', **epf_args)
if liquefaction_resp is not None:
fragility_set_liq = fragility_sets_liq[epf["id"]]
if isinstance(fragility_set_liq.fragility_curves[0],
DFR3Curve):
liq_hazard_vals = AnalysisUtil.update_precision_of_lists(
liquefaction_resp[i]["pgdValues"])
liq_demand_types = liquefaction_resp[i]["demands"]
liq_demand_units = liquefaction_resp[i]["units"]
liquefaction_prob = liquefaction_resp[i][
'liqProbability']
hval_dict_liq = dict()
for j, d in enumerate(fragility_set_liq.demand_types):
hval_dict_liq[d] = liq_hazard_vals[j]
facility_liq_args = fragility_set_liq.construct_expression_args_from_inventory(
epf)
pgd_limit_states = \
fragility_set_liq.calculate_limit_state(
hval_dict_liq, inventory_type="electric_facility",
**facility_liq_args)
else:
raise ValueError(
"One of the fragilities is in deprecated format. "
"This should not happen If you are seeing this please report the issue."
)
limit_states = AnalysisUtil.adjust_limit_states_for_pgd(
limit_states, pgd_limit_states)
dmg_interval = selected_fragility_set.calculate_damage_interval(
limit_states,
hazard_type=hazard_type,
inventory_type='electric_facility')
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
ds_result["guid"] = epf["properties"]["guid"]
ds_result.update(limit_states)
ds_result.update(dmg_interval)
ds_result[
'haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_val, hazard_type)
damage_result['guid'] = epf['properties']['guid']
damage_result['fragility_id'] = selected_fragility_set.id
damage_result["demandtypes"] = input_demand_types
damage_result["demandunits"] = input_demand_units
damage_result["hazardtype"] = hazard_type
damage_result["hazardvals"] = hazard_val
if hazard_type == "earthquake" and use_liquefaction is True:
if liquefaction_available:
damage_result['liq_fragility_id'] = fragility_sets_liq[
epf["id"]].id
damage_result['liqdemandtypes'] = liq_demand_types
damage_result['liqdemandunits'] = liq_demand_units
damage_result['liqhazval'] = liq_hazard_vals
damage_result['liqprobability'] = liquefaction_prob
else:
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqprobability'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
i += 1
#############################################################
# unmapped
for epf in unmapped_epfs:
ds_result = dict()
damage_result = dict()
ds_result['guid'] = epf['properties']['guid']
damage_result['guid'] = epf['properties']['guid']
damage_result['fragility_id'] = None
damage_result["demandtypes"] = None
damage_result['demandunits'] = None
damage_result["hazardtype"] = None
damage_result['hazardval'] = None
if hazard_type == "earthquake" and use_liquefaction is True:
damage_result['liq_fragility_id'] = None
damage_result['liqdemandtypes'] = None
damage_result['liqdemandunits'] = None
damage_result['liqhazval'] = None
damage_result['liqprobability'] = None
ds_results.append(ds_result)
damage_results.append(damage_result)
return ds_results, damage_results
def building_damage_analysis_bulk_input(self, buildings):
"""Run analysis for multiple buildings.
Args:
buildings (list): Multiple buildings from input inventory set.
Returns:
dict: An ordered dictionary with building damage values.
dict: An ordered dictionary with building data/metadata.
"""
# read static parameters from object self
hazard_type = self.get_parameter("hazard_type")
hazard_dataset_id = self.get_parameter("hazard_id")
liq_geology_dataset_id = self.get_parameter("liq_geology_dataset_id")
use_liquefaction = self.get_parameter("use_liquefaction")
use_hazard_uncertainty = self.get_parameter("use_hazard_uncertainty")
building_results = []
damage_results = []
fragility_sets_as = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), buildings,
self.get_parameter("fragility_key_as"))
fragility_sets_ds = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), buildings,
self.get_parameter("fragility_key_ds"))
values_payload_as = []
values_payload_ds = []
values_payload_liq = []
mapped_buildings = []
unmapped_buildings = []
for building in buildings:
if building["id"] in fragility_sets_as and building[
"id"] in fragility_sets_ds:
fragility_set_as = fragility_sets_as[building["id"]]
fragility_set_ds = fragility_sets_ds[building["id"]]
location = GeoUtil.get_location(building)
loc = str(location.y) + "," + str(location.x)
# Acceleration-Sensitive
demands_as = AnalysisUtil.get_hazard_demand_types(
building, fragility_set_as, hazard_type)
units_as = fragility_set_as.demand_units
value_as = {
"demands": demands_as,
"units": units_as,
"loc": loc
}
values_payload_as.append(value_as)
# Drift-Sensitive
demands_ds = AnalysisUtil.get_hazard_demand_types(
building, fragility_set_ds, hazard_type)
units_ds = fragility_set_ds.demand_units
value_ds = {
"demands": demands_ds,
"units": units_ds,
"loc": loc
}
values_payload_ds.append(value_ds)
# liquefaction
if use_liquefaction:
value_liq = {
"demands": ["pgd"], # implied...
"units": ["in"],
"loc": loc
}
values_payload_liq.append(value_liq)
mapped_buildings.append(building)
else:
unmapped_buildings.append(building)
del buildings
# get hazard values and liquefaction
if hazard_type == 'earthquake':
hazard_resp_as = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload_as)
hazard_resp_ds = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload_ds)
# adjust dmg probability for liquefaction
if use_liquefaction:
if liq_geology_dataset_id is not None:
liquefaction_resp = self.hazardsvc.post_liquefaction_values(
hazard_dataset_id, liq_geology_dataset_id,
values_payload_liq)
else:
raise ValueError(
'Hazard does not support liquefaction! Check to make sure you defined the '
'liquefaction portion of your scenario earthquake.')
else:
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
# calculate LS and DS
for i, building in enumerate(mapped_buildings):
dmg_probability_as = {"LS_0": None, "LS_1": None, "LS_2": None}
dmg_interval_as = {
"DS_0": None,
"DS_1": None,
"DS_2": None,
"DS_3": None
}
dmg_probability_ds = {"LS_0": None, "LS_1": None, "LS_2": None}
dmg_interval_ds = {
"DS_0": None,
"DS_1": None,
"DS_2": None,
"DS_3": None
}
fragility_set_as = fragility_sets_as[building["id"]]
fragility_set_ds = fragility_sets_ds[building["id"]]
# TODO this value needs to come from the hazard service
# adjust dmg probability for hazard uncertainty
if use_hazard_uncertainty:
raise ValueError('Uncertainty has not yet been implemented!')
###############
# AS
if isinstance(fragility_set_as.fragility_curves[0], DFR3Curve):
hazard_vals_as = AnalysisUtil.update_precision_of_lists(
hazard_resp_as[i]["hazardValues"])
demand_types_as = hazard_resp_as[i]["demands"]
demand_units_as = hazard_resp_as[i]["units"]
hval_dict_as = dict()
for j, d in enumerate(fragility_set_as.demand_types):
hval_dict_as[d] = hazard_vals_as[j]
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_resp_as[i]["hazardValues"]):
building_args = fragility_set_as.construct_expression_args_from_inventory(
building)
dmg_probability_as = fragility_set_as. \
calculate_limit_state(hval_dict_as, inventory_type="building",
**building_args)
# adjust dmg probability for liquefaction
if use_liquefaction:
if liq_geology_dataset_id is not None:
liquefaction_dmg = AnalysisUtil.update_precision_of_lists(
liquefaction_resp[i]["groundFailureProb"])
dmg_probability_as = AnalysisUtil.update_precision_of_dicts(
NonStructBuildingUtil.
adjust_damage_for_liquefaction(
dmg_probability_as, liquefaction_dmg))
dmg_interval_as = fragility_set_ds.calculate_damage_interval(
dmg_probability_as,
hazard_type=hazard_type,
inventory_type="building")
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
###############
# DS
if isinstance(fragility_set_ds.fragility_curves[0], DFR3Curve):
hazard_vals_ds = AnalysisUtil.update_precision_of_lists(
hazard_resp_ds[i]["hazardValues"])
demand_types_ds = hazard_resp_ds[i]["demands"]
demand_units_ds = hazard_resp_ds[i]["units"]
hval_dict_ds = dict()
for j, d in enumerate(fragility_set_ds.demand_types):
hval_dict_ds[d] = hazard_vals_ds[j]
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_resp_ds[i]["hazardValues"]):
building_args = fragility_set_ds.construct_expression_args_from_inventory(
building)
dmg_probability_ds = fragility_set_ds. \
calculate_limit_state(hval_dict_ds, inventory_type="building",
**building_args)
# adjust dmg probability for liquefaction
if use_liquefaction:
if liq_geology_dataset_id is not None:
liquefaction_dmg = AnalysisUtil.update_precision_of_lists(
liquefaction_resp[i]["groundFailureProb"])
dmg_probability_ds = AnalysisUtil.update_precision_of_dicts(
NonStructBuildingUtil.
adjust_damage_for_liquefaction(
dmg_probability_ds, liquefaction_dmg))
dmg_interval_ds = fragility_set_ds.calculate_damage_interval(
dmg_probability_ds,
hazard_type=hazard_type,
inventory_type="building")
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
# put results in dictionary
# AS denotes acceleration-sensitive fragility assigned to the building.
# DS denotes drift-sensitive fragility assigned to the building.
building_result = dict()
building_result['guid'] = building['properties']['guid']
building_result['AS_LS_0'] = dmg_probability_as['LS_0']
building_result['AS_LS_1'] = dmg_probability_as['LS_1']
building_result['AS_LS_2'] = dmg_probability_as['LS_2']
building_result['AS_DS_0'] = dmg_interval_as['DS_0']
building_result['AS_DS_1'] = dmg_interval_as['DS_1']
building_result['AS_DS_2'] = dmg_interval_as['DS_2']
building_result['AS_DS_3'] = dmg_interval_as['DS_3']
building_result['DS_LS_0'] = dmg_probability_ds['LS_0']
building_result['DS_LS_1'] = dmg_probability_ds['LS_1']
building_result['DS_LS_2'] = dmg_probability_ds['LS_2']
building_result['DS_DS_0'] = dmg_interval_ds['DS_0']
building_result['DS_DS_1'] = dmg_interval_ds['DS_1']
building_result['DS_DS_2'] = dmg_interval_ds['DS_2']
building_result['DS_DS_3'] = dmg_interval_ds['DS_3']
building_result[
'hazard_exposure_as'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_vals_as, hazard_type)
building_result[
'hazard_exposure_ds'] = AnalysisUtil.get_exposure_from_hazard_values(
hazard_vals_ds, hazard_type)
# put damage results in dictionary
damage_result = dict()
damage_result['guid'] = building['properties']['guid']
damage_result['fragility_id_as'] = fragility_set_as.id
damage_result['demandtypes_as'] = demand_types_as
damage_result['demandunits_as'] = demand_units_as
damage_result['fragility_id_ds'] = fragility_set_ds.id
damage_result['demandtypes_ds'] = demand_types_ds
damage_result['demandunits_ds'] = demand_units_ds
damage_result['hazardtype'] = hazard_type
damage_result['hazardvals_as'] = hazard_vals_as
damage_result['hazardvals_ds'] = hazard_vals_ds
building_results.append(building_result)
damage_results.append(damage_result)
for building in unmapped_buildings:
building_result = dict()
building_result['guid'] = building['properties']['guid']
damage_result = dict()
damage_result['guid'] = building['properties']['guid']
damage_result['fragility_id_as'] = None
damage_result['demandtypes_as'] = None
damage_result['demandunits_as'] = None
damage_result['fragility_id_ds'] = None
damage_result['demandtypes_ds'] = None
damage_result['demandunits_ds'] = None
damage_result['hazardtype'] = None
damage_result['hazardvals_as'] = None
damage_result['hazardvals_ds'] = None
building_results.append(building_result)
damage_results.append(damage_result)
return building_results, damage_results
def pipeline_damage_analysis_bulk_input(self, pipelines, hazard_type,
hazard_dataset_id):
"""Run pipeline damage analysis for multiple pipelines.
Args:
pipelines (list): Multiple pipelines from pipeline dataset.
hazard_type (str): Hazard type (earthquake or tsunami).
hazard_dataset_id (str): An id of the hazard exposure.
Returns:
dict: An ordered dictionaries with pipeline damage values.
dict: An ordered dictionaries with other pipeline data/metadata.
"""
# Get Fragility key
fragility_key = self.get_parameter("fragility_key")
if fragility_key is None:
fragility_key = "Non-Retrofit inundationDepth Fragility ID Code" if hazard_type == 'tsunami' else "pgv"
self.set_parameter("fragility_key", fragility_key)
# get fragility set
fragility_sets = self.fragilitysvc.match_inventory(
self.get_input_dataset("dfr3_mapping_set"), pipelines,
fragility_key)
values_payload = []
unmapped_pipelines = []
mapped_pipelines = []
for pipeline in pipelines:
# if find a match fragility for that pipeline
if pipeline["id"] in fragility_sets.keys():
fragility_set = fragility_sets[pipeline["id"]]
location = GeoUtil.get_location(pipeline)
loc = str(location.y) + "," + str(location.x)
demands = AnalysisUtil.get_hazard_demand_types(
pipeline, fragility_set, hazard_type)
units = fragility_sets[pipeline["id"]].demand_units
value = {"demands": demands, "units": units, "loc": loc}
values_payload.append(value)
mapped_pipelines.append(pipeline)
else:
unmapped_pipelines.append(pipeline)
# not needed anymore as they are already split into mapped and unmapped
del pipelines
if hazard_type == 'earthquake':
hazard_vals = self.hazardsvc.post_earthquake_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'tornado':
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
elif hazard_type == 'tsunami':
hazard_vals = self.hazardsvc.post_tsunami_hazard_values(
hazard_dataset_id, values_payload)
elif hazard_type == 'hurricane':
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
elif hazard_type == 'flood':
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
else:
raise ValueError(
"The provided hazard type is not supported yet by this analysis"
)
pipeline_results = []
damage_results = []
for i, pipeline in enumerate(mapped_pipelines):
limit_states = dict()
dmg_intervals = dict()
pipeline_result = dict()
fragility_set = fragility_sets[pipeline["id"]]
# TODO: Once all fragilities are migrated to new format, we can remove this condition
if isinstance(fragility_set.fragility_curves[0], DFR3Curve):
# Supports multiple demand types in same fragility
haz_vals = AnalysisUtil.update_precision_of_lists(
hazard_vals[i]["hazardValues"])
demand_types = hazard_vals[i]["demands"]
demand_units = hazard_vals[i]["units"]
# construct hazard_value dictionary {"demand_type":"hazard_value", ...}
hval_dict = dict()
for j, d in enumerate(fragility_set.demand_types):
hval_dict[d] = haz_vals[j]
if not AnalysisUtil.do_hazard_values_have_errors(
hazard_vals[i]["hazardValues"]):
pipeline_args = fragility_set.construct_expression_args_from_inventory(
pipeline)
limit_states = fragility_set.calculate_limit_state(
hval_dict, inventory_type="pipeline", **pipeline_args)
dmg_intervals = fragility_set.calculate_damage_interval(
limit_states,
hazard_type=hazard_type,
inventory_type="pipeline")
else:
raise ValueError(
"One of the fragilities is in deprecated format. This should not happen. If you are "
"seeing this please report the issue.")
pipeline_result['guid'] = pipeline['properties']['guid']
pipeline_result.update(limit_states)
pipeline_result.update(dmg_intervals)
pipeline_result[
'haz_expose'] = AnalysisUtil.get_exposure_from_hazard_values(
haz_vals, hazard_type)
damage_result = dict()
damage_result['guid'] = pipeline['properties']['guid']
damage_result['fragility_id'] = fragility_set.id
damage_result['demandtypes'] = demand_types
damage_result['demandunits'] = demand_units
damage_result['hazardtype'] = hazard_type
damage_result['hazardval'] = haz_vals
pipeline_results.append(pipeline_result)
damage_results.append(damage_result)
# for pipeline does not have matching fragility curves, default to None
for pipeline in unmapped_pipelines:
pipeline_result = dict()
damage_result = dict()
pipeline_result['guid'] = pipeline['properties']['guid']
damage_result['guid'] = pipeline['properties']['guid']
damage_result['fragility_id'] = None
damage_result['demandtypes'] = None
damage_result['demandunits'] = None
damage_result['hazardtype'] = None
damage_result['hazardvals'] = None
pipeline_results.append(pipeline_result)
damage_results.append(damage_result)
return pipeline_results, damage_results