def _get_exposure(fname, stop=None):
"""
:param fname:
path of the XML file containing the exposure
:param stop:
node at which to stop parsing (or None)
:returns:
a pair (Exposure instance, list of asset nodes)
"""
[exposure] = nrml.read(fname, stop=stop)
if not exposure.tag.endswith('exposureModel'):
raise InvalidFile('%s: expected exposureModel, got %s' %
(fname, exposure.tag))
description = exposure.description
try:
conversions = exposure.conversions
except AttributeError:
conversions = Node('conversions', nodes=[Node('costTypes', [])])
try:
inslimit = conversions.insuranceLimit
except AttributeError:
inslimit = Node('insuranceLimit', text=True)
try:
deductible = conversions.deductible
except AttributeError:
deductible = Node('deductible', text=True)
try:
area = conversions.area
except AttributeError:
# NB: the area type cannot be an empty string because when sending
# around the CostCalculator object we would run into this numpy bug
# about pickling dictionaries with empty strings:
# https://github.com/numpy/numpy/pull/5475
area = Node('area', dict(type='?'))
try:
occupancy_periods = exposure.occupancyPeriods.text or ''
except AttributeError:
occupancy_periods = ''
try:
tagNames = exposure.tagNames
except AttributeError:
tagNames = Node('tagNames', text='')
tagnames = ~tagNames or []
tagnames.insert(0, 'taxonomy')
# read the cost types and make some check
cost_types = []
retrofitted = False
for ct in conversions.costTypes:
with context(fname, ct):
ctname = ct['name']
if ctname == 'structural' and 'retrofittedType' in ct.attrib:
if ct['retrofittedType'] != ct['type']:
raise ValueError(
'The retrofittedType %s is different from the type'
'%s' % (ct['retrofittedType'], ct['type']))
if ct['retrofittedUnit'] != ct['unit']:
raise ValueError(
'The retrofittedUnit %s is different from the unit'
'%s' % (ct['retrofittedUnit'], ct['unit']))
retrofitted = True
cost_types.append(
(ctname, valid.cost_type_type(ct['type']), ct['unit']))
if 'occupants' in cost_types:
cost_types.append(('occupants', 'per_area', 'people'))
cost_types.sort(key=operator.itemgetter(0))
cost_types = numpy.array(cost_types, cost_type_dt)
insurance_limit_is_absolute = il = inslimit.get('isAbsolute')
deductible_is_absolute = de = deductible.get('isAbsolute')
cc = CostCalculator(
{},
{},
{},
True if de is None else de,
True if il is None else il,
{name: i
for i, name in enumerate(tagnames)},
)
for ct in cost_types:
name = ct['name'] # structural, nonstructural, ...
cc.cost_types[name] = ct['type'] # aggregated, per_asset, per_area
cc.area_types[name] = area['type']
cc.units[name] = ct['unit']
assets = []
asset_refs = []
exp = Exposure(exposure['id'], exposure['category'], description.text,
cost_types, occupancy_periods, insurance_limit_is_absolute,
deductible_is_absolute, retrofitted, area.attrib, assets,
asset_refs, cc, TagCollection(tagnames))
return exp, exposure.assets
def _get_exposure(fname, stop=None):
"""
:param fname:
path of the XML file containing the exposure
:param stop:
node at which to stop parsing (or None)
:returns:
a pair (Exposure instance, list of asset nodes)
"""
[exposure] = nrml.read(fname, stop=stop)
if not exposure.tag.endswith('exposureModel'):
raise InvalidFile('%s: expected exposureModel, got %s' %
(fname, exposure.tag))
description = exposure.description
try:
conversions = exposure.conversions
except AttributeError:
conversions = Node('conversions', nodes=[Node('costTypes', [])])
try:
inslimit = conversions.insuranceLimit
except AttributeError:
inslimit = Node('insuranceLimit', text=True)
try:
deductible = conversions.deductible
except AttributeError:
deductible = Node('deductible', text=True)
try:
area = conversions.area
except AttributeError:
# NB: the area type cannot be an empty string because when sending
# around the CostCalculator object we would run into this numpy bug
# about pickling dictionaries with empty strings:
# https://github.com/numpy/numpy/pull/5475
area = Node('area', dict(type='?'))
try:
occupancy_periods = exposure.occupancyPeriods.text or ''
except AttributeError:
occupancy_periods = ''
try:
tagNames = exposure.tagNames
except AttributeError:
tagNames = Node('tagNames', text='')
tagnames = ~tagNames or []
if set(tagnames) & {'taxonomy', 'exposure', 'country'}:
raise InvalidFile('taxonomy, exposure and country are reserved names '
'you cannot use it in <tagNames>: %s' % fname)
tagnames.insert(0, 'taxonomy')
# read the cost types and make some check
cost_types = []
retrofitted = False
for ct in conversions.costTypes:
with context(fname, ct):
ctname = ct['name']
if ctname == 'structural' and 'retrofittedType' in ct.attrib:
if ct['retrofittedType'] != ct['type']:
raise ValueError(
'The retrofittedType %s is different from the type'
'%s' % (ct['retrofittedType'], ct['type']))
if ct['retrofittedUnit'] != ct['unit']:
raise ValueError(
'The retrofittedUnit %s is different from the unit'
'%s' % (ct['retrofittedUnit'], ct['unit']))
retrofitted = True
cost_types.append(
(ctname, valid.cost_type_type(ct['type']), ct['unit']))
if 'occupants' in cost_types:
cost_types.append(('occupants', 'per_area', 'people'))
cost_types.sort(key=operator.itemgetter(0))
cost_types = numpy.array(cost_types, cost_type_dt)
insurance_limit_is_absolute = il = inslimit.get('isAbsolute')
deductible_is_absolute = de = deductible.get('isAbsolute')
cc = CostCalculator(
{}, {}, {},
True if de is None else de,
True if il is None else il,
{name: i for i, name in enumerate(tagnames)},
)
for ct in cost_types:
name = ct['name'] # structural, nonstructural, ...
cc.cost_types[name] = ct['type'] # aggregated, per_asset, per_area
cc.area_types[name] = area['type']
cc.units[name] = ct['unit']
assets = []
asset_refs = []
exp = Exposure(
exposure['id'], exposure['category'],
description.text, cost_types, occupancy_periods,
insurance_limit_is_absolute, deductible_is_absolute, retrofitted,
area.attrib, assets, asset_refs, cc, TagCollection(tagnames))
assets_text = exposure.assets.text.strip()
if assets_text:
# the <assets> tag contains a list of file names
dirname = os.path.dirname(fname)
exp.datafiles = [os.path.join(dirname, f) for f in assets_text.split()]
else:
exp.datafiles = []
return exp, exposure.assets
def _get_exposure(fname, ok_cost_types, stop=None):
"""
:param fname:
path of the XML file containing the exposure
:param ok_cost_types:
a set of cost types (as strings)
:param stop:
node at which to stop parsing (or None)
:returns:
a pair (Exposure instance, list of asset nodes)
"""
[exposure] = nrml.read(fname, stop=stop)
if not exposure.tag.endswith('exposureModel'):
raise InvalidFile('%s: expected exposureModel, got %s' %
(fname, exposure.tag))
description = exposure.description
try:
conversions = exposure.conversions
except AttributeError:
conversions = Node('conversions', nodes=[Node('costTypes', [])])
try:
inslimit = conversions.insuranceLimit
except AttributeError:
inslimit = Node('insuranceLimit', text=True)
try:
deductible = conversions.deductible
except AttributeError:
deductible = Node('deductible', text=True)
try:
area = conversions.area
except AttributeError:
# NB: the area type cannot be an empty string because when sending
# around the CostCalculator object we would run into this numpy bug
# about pickling dictionaries with empty strings:
# https://github.com/numpy/numpy/pull/5475
area = Node('area', dict(type='?'))
try:
occupancy_periods = ~exposure.occupancyPeriods or ''
except AttributeError:
occupancy_periods = 'day night transit'
try:
tagNames = exposure.tagNames
except AttributeError:
tagNames = Node('tagNames', text='')
tagnames = ~tagNames
# read the cost types and make some check
cost_types = []
for ct in conversions.costTypes:
if not ok_cost_types or ct['name'] in ok_cost_types:
with context(fname, ct):
cost_types.append(
(ct['name'], valid.cost_type_type(ct['type']), ct['unit']))
if 'occupants' in ok_cost_types:
cost_types.append(('occupants', 'per_area', 'people'))
cost_types.sort(key=operator.itemgetter(0))
cost_types = numpy.array(cost_types, cost_type_dt)
insurance_limit_is_absolute = inslimit.get('isAbsolute', True)
deductible_is_absolute = deductible.get('isAbsolute', True)
tagi = {name: i for i, name in enumerate(tagnames)}
cc = asset.CostCalculator(
{}, {}, {}, deductible_is_absolute, insurance_limit_is_absolute, tagi)
for ct in cost_types:
name = ct['name'] # structural, nonstructural, ...
cc.cost_types[name] = ct['type'] # aggregated, per_asset, per_area
cc.area_types[name] = area['type']
cc.units[name] = ct['unit']
assets = []
asset_refs = []
exp = Exposure(
exposure['id'], exposure['category'],
~description, cost_types, occupancy_periods.split(),
insurance_limit_is_absolute, deductible_is_absolute,
area.attrib, assets, asset_refs, cc, tagnames)
return exp, exposure.assets
