def get_risk_job(cfg, username="******", hazard_calculation_id=None,
hazard_output_id=None):
"""
Given a path to a config file and a hazard_calculation_id
(or, alternatively, a hazard_output_id, create a
:class:`openquake.engine.db.models.OqJob` object for a risk calculation.
"""
# You can't specify both a hazard output and hazard calculation
# Pick one
assert not (hazard_calculation_id is not None
and hazard_output_id is not None)
job = engine.prepare_job(username)
params = engine.parse_config(open(cfg, 'r'))
params.update(
dict(hazard_output_id=hazard_output_id,
hazard_calculation_id=hazard_calculation_id)
)
risk_calc = engine.create_calculation(
models.RiskCalculation, params)
risk_calc = models.RiskCalculation.objects.get(id=risk_calc.id)
job.risk_calculation = risk_calc
job.save()
return job
def test_validate_warns(self):
# Test that `validate` raises warnings if unnecessary parameters are
# specified for a given calculation.
# For example, `ses_per_logic_tree_path` is an event-based hazard
# param; if this param is specified for a classical hazard job, a
# warning should be raised.
cfg_file = helpers.get_data_path('simple_fault_demo_hazard/job.ini')
job = engine.prepare_job()
params = engine.parse_config(open(cfg_file, 'r'))
# Add a few superfluous parameters:
params['ses_per_logic_tree_path'] = 5
params['ground_motion_correlation_model'] = 'JB2009'
calculation = engine.create_calculation(
models.HazardCalculation, params)
job.hazard_calculation = calculation
job.save()
with warnings.catch_warnings(record=True) as w:
validation.validate(job, 'hazard', params, ['xml'])
expected_warnings = [
"Unknown parameter '%s' for calculation mode 'classical'."
" Ignoring." % x for x in ('ses_per_logic_tree_path',
'ground_motion_correlation_model')
]
actual_warnings = [m.message.message for m in w]
self.assertEqual(sorted(expected_warnings), sorted(actual_warnings))
def test(self):
# check that if risk models are provided, then the ``points to
# compute`` and the imls are got from there
username = helpers.default_user()
job = engine.prepare_job(username)
cfg = helpers.get_data_path("classical_job-sd-imt.ini")
params = vars(readini.parse_config(open(cfg)))
del params["hazard_calculation_id"]
del params["hazard_output_id"]
haz_calc = engine.create_calculation(models.HazardCalculation, params)
haz_calc = models.HazardCalculation.objects.get(id=haz_calc.id)
job.hazard_calculation = haz_calc
job.is_running = True
job.save()
calc = get_calculator_class("hazard", job.hazard_calculation.calculation_mode)(job)
calc.parse_risk_models()
self.assertEqual(
[(1.0, -1.0), (0.0, 0.0)], [(point.latitude, point.longitude) for point in haz_calc.points_to_compute()]
)
self.assertEqual(["PGA"], haz_calc.get_imts())
self.assertEqual(3, haz_calc.oqjob.exposuremodel.exposuredata_set.count())
return job
def get_job(cfg, username="******", hazard_calculation_id=None,
hazard_output_id=None, **extras):
"""
Given a path to a config file and a hazard_calculation_id
(or, alternatively, a hazard_output_id, create a
:class:`openquake.engine.db.models.OqJob` object for a risk calculation.
"""
if hazard_calculation_id is None and hazard_output_id is None:
return engine.job_from_file(cfg, username, 'error', [], **extras)
job = engine.prepare_job(username)
oqparam = readini.parse_config(
open(cfg), hazard_calculation_id, hazard_output_id)
params = vars(oqparam)
if hazard_calculation_id is None:
params['hazard_calculation_id'] = models.Output.objects.get(
pk=hazard_output_id).oq_job.id
# we are removing intensity_measure_types_and_levels because it is not
# a field of RiskCalculation; this ugliness will disappear when
# RiskCalculation will be removed
del params['intensity_measure_types_and_levels']
job.save_params(params)
risk_calc = engine.create_calculation(models.RiskCalculation, params)
risk_calc = models.RiskCalculation.objects.get(id=risk_calc.id)
job.risk_calculation = risk_calc
job.save()
return job
def test_validate_warns(self):
# Test that `validate` raises warnings if unnecessary parameters are
# specified for a given calculation.
# For example, `ses_per_logic_tree_path` is an event-based hazard
# param; if this param is specified for a classical hazard job, a
# warning should be raised.
cfg_file = helpers.get_data_path('simple_fault_demo_hazard/job.ini')
job = engine.prepare_job()
params = engine.parse_config(open(cfg_file, 'r'))
# Add a few superfluous parameters:
params['ses_per_logic_tree_path'] = 5
params['ground_motion_correlation_model'] = 'JB2009'
calculation = engine.create_calculation(models.HazardCalculation,
params)
job.hazard_calculation = calculation
job.save()
with warnings.catch_warnings(record=True) as w:
validation.validate(job, 'hazard', params, ['xml'])
expected_warnings = [
"Unknown parameter '%s' for calculation mode 'classical'."
" Ignoring." % x for x in ('ses_per_logic_tree_path',
'ground_motion_correlation_model')
]
actual_warnings = [m.message.message for m in w]
self.assertEqual(sorted(expected_warnings), sorted(actual_warnings))
def test_create_hazard_calculation_warns(self):
# If unknown parameters are specified in the config file, we expect
# `create_hazard_calculation` to raise warnings and ignore those
# parameters.
# Add some random unknown params:
self.params['blargle'] = 'spork'
self.params['do_science'] = 'true'
expected_warnings = [
"Unknown parameter 'blargle'. Ignoring.",
"Unknown parameter 'do_science'. Ignoring.",
]
with warnings.catch_warnings(record=True) as w:
engine.create_calculation(
models.HazardCalculation, self.params)
actual_warnings = [msg.message.message for msg in w]
self.assertEqual(sorted(expected_warnings), sorted(actual_warnings))
def test_create_hazard_calculation_warns(self):
# If unknown parameters are specified in the config file, we expect
# `create_hazard_calculation` to raise warnings and ignore those
# parameters.
# Add some random unknown params:
self.params['blargle'] = 'spork'
self.params['do_science'] = 'true'
expected_warnings = [
"Unknown parameter 'blargle'. Ignoring.",
"Unknown parameter 'do_science'. Ignoring.",
]
with warnings.catch_warnings(record=True) as w:
engine.create_calculation(
models.HazardCalculation, self.params)
actual_warnings = [msg.message.message for msg in w]
self.assertEqual(sorted(expected_warnings), sorted(actual_warnings))
def test_create_hazard_calculation(self):
hc = engine.create_calculation(models.HazardCalculation, self.params)
# Normalize/clean fields by fetching a fresh copy from the db.
hc = models.HazardCalculation.objects.get(id=hc.id)
self.assertEqual(hc.calculation_mode, 'classical')
self.assertEqual(hc.width_of_mfd_bin, 1.0)
self.assertEqual(hc.rupture_mesh_spacing, 1.0)
self.assertEqual(hc.area_source_discretization, 2.0)
self.assertEqual(hc.investigation_time, 50.0)
self.assertEqual(hc.truncation_level, 0.0)
self.assertEqual(hc.maximum_distance, 200.0)
def test_create_hazard_calculation(self):
hc = engine.create_calculation(models.HazardCalculation, self.params)
# Normalize/clean fields by fetching a fresh copy from the db.
hc = models.HazardCalculation.objects.get(id=hc.id)
self.assertEqual(hc.calculation_mode, 'classical')
self.assertEqual(hc.width_of_mfd_bin, 1.0)
self.assertEqual(hc.rupture_mesh_spacing, 1.0)
self.assertEqual(hc.area_source_discretization, 2.0)
self.assertEqual(hc.investigation_time, 50.0)
self.assertEqual(hc.truncation_level, 0.0)
self.assertEqual(hc.maximum_distance, 200.0)
def test(self):
# check that if risk models are provided, then the ``points to
# compute`` and the imls are got from there
username = helpers.default_user()
job = engine.prepare_job(username)
cfg = helpers.get_data_path('classical_job-sd-imt.ini')
params = engine.parse_config(open(cfg, 'r'))
haz_calc = engine.create_calculation(models.HazardCalculation, params)
haz_calc = models.HazardCalculation.objects.get(id=haz_calc.id)
job.hazard_calculation = haz_calc
job.is_running = True
job.save()
base_path = ('openquake.engine.calculators.hazard.classical.core'
'.ClassicalHazardCalculator')
init_src_patch = helpers.patch('%s.%s' %
(base_path, 'initialize_sources'))
init_sm_patch = helpers.patch('%s.%s' %
(base_path, 'initialize_site_model'))
init_rlz_patch = helpers.patch('%s.%s' %
(base_path, 'initialize_realizations'))
record_stats_patch = helpers.patch('%s.%s' %
(base_path, 'record_init_stats'))
init_pr_data_patch = helpers.patch('%s.%s' %
(base_path, 'initialize_pr_data'))
patches = (init_src_patch, init_sm_patch, init_rlz_patch,
record_stats_patch, init_pr_data_patch)
mocks = [p.start() for p in patches]
get_calculator_class(
'hazard',
job.hazard_calculation.calculation_mode)(job).pre_execute()
self.assertEqual([(1.0, -1.0), (0.0, 0.0)],
[(point.latitude, point.longitude)
for point in haz_calc.points_to_compute()])
self.assertEqual(['PGA'], haz_calc.get_imts())
self.assertEqual(3,
haz_calc.oqjob.exposuremodel.exposuredata_set.count())
for i, m in enumerate(mocks):
m.stop()
patches[i].stop()
return job
def test(self):
# check that if risk models are provided, then the ``points to
# compute`` and the imls are got from there
username = helpers.default_user()
job = engine.prepare_job(username)
cfg = helpers.get_data_path('classical_job-sd-imt.ini')
params = engine.parse_config(open(cfg, 'r'))
haz_calc = engine.create_calculation(models.HazardCalculation, params)
haz_calc = models.HazardCalculation.objects.get(id=haz_calc.id)
job.hazard_calculation = haz_calc
job.is_running = True
job.save()
base_path = ('openquake.engine.calculators.hazard.classical.core'
'.ClassicalHazardCalculator')
init_src_patch = helpers.patch(
'%s.%s' % (base_path, 'initialize_sources'))
init_sm_patch = helpers.patch(
'%s.%s' % (base_path, 'initialize_site_model'))
init_rlz_patch = helpers.patch(
'%s.%s' % (base_path, 'initialize_realizations'))
init_pr_data_patch = helpers.patch(
'%s.%s' % (base_path, 'initialize_pr_data'))
patches = (init_src_patch, init_sm_patch, init_rlz_patch,
init_pr_data_patch)
mocks = [p.start() for p in patches]
get_calculator_class(
'hazard',
job.hazard_calculation.calculation_mode)(job).pre_execute()
self.assertEqual([(1.0, -1.0), (0.0, 0.0)],
[(point.latitude, point.longitude)
for point in haz_calc.points_to_compute()])
self.assertEqual(['PGA'], haz_calc.get_imts())
self.assertEqual(
3, haz_calc.oqjob.exposuremodel.exposuredata_set.count())
for i, m in enumerate(mocks):
m.stop()
patches[i].stop()
return job
def get_job(cfg, username="******", hazard_calculation_id=None,
hazard_output_id=None):
"""
Given a path to a config file and a hazard_calculation_id
(or, alternatively, a hazard_output_id, create a
:class:`openquake.engine.db.models.OqJob` object for a risk calculation.
"""
if hazard_calculation_id is None and hazard_output_id is None:
return engine.job_from_file(cfg, username, 'error', [])
job = engine.prepare_job(username)
params = vars(readini.parse_config(
open(cfg), hazard_calculation_id, hazard_output_id))
risk_calc = engine.create_calculation(models.RiskCalculation, params)
risk_calc = models.RiskCalculation.objects.get(id=risk_calc.id)
job.risk_calculation = risk_calc
job.save()
return job
def test_create_risk_calculation(self):
# we need an hazard output to create a risk calculation
hazard_cfg = helpers.get_data_path('simple_fault_demo_hazard/job.ini')
hazard_job = helpers.get_job(hazard_cfg, 'openquake')
hc = hazard_job.get_oqparam()
lt_model = models.LtSourceModel.objects.create(
hazard_calculation=hazard_job,
ordinal=1, sm_lt_path="test_sm")
rlz = models.LtRealization.objects.create(
lt_model=lt_model, ordinal=1, weight=None,
gsim_lt_path="test_gsim")
hazard_output = models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve"),
investigation_time=hc.investigation_time,
imt="PGA", imls=[0.1, 0.2, 0.3])
params = {
'hazard_output_id': hazard_output.output.id,
'base_path': 'path/to/job.ini',
'export_dir': '/tmp/xxx',
'calculation_mode': 'classical_risk',
# just some sample params
'lrem_steps_per_interval': 5,
'conditional_loss_poes': '0.01, 0.02, 0.05',
'region_constraint': [(-0.5, 0.5), (0.5, 0.5), (0.5, -0.5),
(-0.5, -0.5)],
}
rc = engine.create_calculation(models.RiskCalculation, params)
# Normalize/clean fields by fetching a fresh copy from the db.
rc = models.RiskCalculation.objects.get(id=rc.id)
self.assertEqual(rc.calculation_mode, 'classical_risk')
self.assertEqual(rc.lrem_steps_per_interval, 5)
self.assertEqual(rc.conditional_loss_poes, [0.01, 0.02, 0.05])
self.assertEqual(
rc.region_constraint.wkt,
('POLYGON ((-0.5000000000000000 0.5000000000000000, '
'0.5000000000000000 0.5000000000000000, '
'0.5000000000000000 -0.5000000000000000, '
'-0.5000000000000000 -0.5000000000000000, '
'-0.5000000000000000 0.5000000000000000))'))
def test_create_risk_calculation(self):
# we need an hazard output to create a risk calculation
hazard_cfg = helpers.get_data_path('simple_fault_demo_hazard/job.ini')
hazard_job = helpers.get_hazard_job(hazard_cfg, 'openquake')
hc = hazard_job.hazard_calculation
rlz = models.LtRealization.objects.create(
hazard_calculation=hazard_job.hazard_calculation,
ordinal=1, seed=1, weight=None,
sm_lt_path="test_sm", gsim_lt_path="test_gsim",
is_complete=False, total_items=1, completed_items=1)
hazard_output = models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve"),
investigation_time=hc.investigation_time,
imt="PGA", imls=[0.1, 0.2, 0.3])
params = {
'hazard_output_id': hazard_output.output.id,
'base_path': 'path/to/job.ini',
'export_dir': '/tmp/xxx',
'calculation_mode': 'classical',
# just some sample params
'lrem_steps_per_interval': 5,
'conditional_loss_poes': '0.01, 0.02, 0.05',
'region_constraint': '-0.5 0.5, 0.5 0.5, 0.5 -0.5, -0.5, -0.5',
}
rc = engine.create_calculation(models.RiskCalculation, params)
# Normalize/clean fields by fetching a fresh copy from the db.
rc = models.RiskCalculation.objects.get(id=rc.id)
self.assertEqual(rc.calculation_mode, 'classical')
self.assertEqual(rc.lrem_steps_per_interval, 5)
self.assertEqual(rc.conditional_loss_poes, [0.01, 0.02, 0.05])
self.assertEqual(
rc.region_constraint.wkt,
('POLYGON ((-0.5000000000000000 0.5000000000000000, '
'0.5000000000000000 0.5000000000000000, '
'0.5000000000000000 -0.5000000000000000, '
'-0.5000000000000000 -0.5000000000000000, '
'-0.5000000000000000 0.5000000000000000))'))
def get_fake_risk_job(risk_cfg, hazard_cfg, output_type="curve",
username="******"):
"""
Takes in input the paths to a risk job config file and a hazard job config
file.
Creates fake hazard outputs suitable to be used by a risk
calculation and then creates a :class:`openquake.engine.db.models.OqJob`
object for a risk calculation. It also returns the input files
referenced by the risk config file.
:param output_type: gmf, gmf_scenario, or curve
"""
hazard_job = get_hazard_job(hazard_cfg, username)
hc = hazard_job.hazard_calculation
rlz = models.LtRealization.objects.create(
hazard_calculation=hazard_job.hazard_calculation,
ordinal=1, seed=1, weight=None,
sm_lt_path="test_sm", gsim_lt_path="test_gsim",
is_complete=False, total_items=1, completed_items=1)
if output_type == "curve":
models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve_multi"),
investigation_time=hc.investigation_time)
hazard_output = models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve"),
investigation_time=hc.investigation_time,
imt="PGA", imls=[0.1, 0.2, 0.3])
for point in ["POINT(-1.01 1.01)", "POINT(0.9 1.01)",
"POINT(0.01 0.01)", "POINT(0.9 0.9)"]:
models.HazardCurveData.objects.create(
hazard_curve=hazard_output,
poes=[0.1, 0.2, 0.3],
location="%s" % point)
elif output_type == "gmf_scenario":
hazard_output = models.Gmf.objects.create(
output=models.Output.objects.create_output(
hazard_job, "Test gmf scenario output", "gmf_scenario"))
site_ids = hazard_job.hazard_calculation.save_sites(
[(15.48, 38.0900001), (15.565, 38.17), (15.481, 38.25)])
for site_id in site_ids:
models.GmfData.objects.create(
gmf=hazard_output,
imt="PGA",
site_id=site_id,
gmvs=[0.1, 0.2, 0.3])
else:
hazard_output = create_gmf_data_records(
hazard_job, rlz)[0].gmf
hazard_job.status = "complete"
hazard_job.save()
job = engine.prepare_job(username)
params = engine.parse_config(open(risk_cfg, 'r'))
params.update(dict(hazard_output_id=hazard_output.output.id))
risk_calc = engine.create_calculation(models.RiskCalculation, params)
job.risk_calculation = risk_calc
job.save()
error_message = validate(job, 'risk', params, [])
# reload risk calculation to have all the types converted properly
job.risk_calculation = models.RiskCalculation.objects.get(id=risk_calc.id)
if error_message:
raise RuntimeError(error_message)
return job, set(params['inputs'])
def get_fake_risk_job(risk_cfg, hazard_cfg, output_type="curve",
username="******"):
"""
Takes in input the paths to a risk job config file and a hazard job config
file.
Creates fake hazard outputs suitable to be used by a risk
calculation and then creates a :class:`openquake.engine.db.models.OqJob`
object for a risk calculation. It also returns the input files
referenced by the risk config file.
:param output_type: gmf, gmf_scenario, or curve
"""
hazard_job = get_job(hazard_cfg, username)
hc = hazard_job.hazard_calculation
lt_model = models.LtSourceModel.objects.create(
hazard_calculation=hazard_job.hazard_calculation,
ordinal=1, sm_lt_path="test_sm")
rlz = models.LtRealization.objects.create(
lt_model=lt_model, ordinal=1, weight=1,
gsim_lt_path="test_gsim")
if output_type == "curve":
models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve_multi"),
investigation_time=hc.investigation_time)
hazard_output = models.HazardCurve.objects.create(
lt_realization=rlz,
output=models.Output.objects.create_output(
hazard_job, "Test Hazard output", "hazard_curve"),
investigation_time=hc.investigation_time,
imt="PGA", imls=[0.1, 0.2, 0.3])
for point in ["POINT(-1.01 1.01)", "POINT(0.9 1.01)",
"POINT(0.01 0.01)", "POINT(0.9 0.9)"]:
models.HazardSite.objects.create(
hazard_calculation=hc, location=point)
models.HazardCurveData.objects.create(
hazard_curve=hazard_output,
poes=[0.1, 0.2, 0.3],
location="%s" % point)
elif output_type == "gmf_scenario":
hazard_output = models.Gmf.objects.create(
output=models.Output.objects.create_output(
hazard_job, "Test gmf scenario output", "gmf_scenario"))
models.SESCollection.objects.create(
output=models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses"),
lt_model=None, ordinal=0)
site_ids = hazard_job.hazard_calculation.save_sites(
[(15.48, 38.0900001), (15.565, 38.17), (15.481, 38.25)])
for site_id in site_ids:
models.GmfData.objects.create(
gmf=hazard_output,
task_no=0,
imt="PGA",
site_id=site_id,
gmvs=[0.1, 0.2, 0.3],
rupture_ids=[0, 1, 2])
elif output_type in ("ses", "gmf"):
hazard_output = create_gmf_data_records(hazard_job, rlz)[0].gmf
else:
raise RuntimeError('Unexpected output_type: %s' % output_type)
hazard_job.status = "complete"
hazard_job.save()
job = engine.prepare_job(username)
params = vars(readini.parse_config(open(risk_cfg),
hazard_output_id=hazard_output.output.id))
risk_calc = engine.create_calculation(models.RiskCalculation, params)
job.risk_calculation = risk_calc
job.save()
# reload risk calculation to have all the types converted properly
job.risk_calculation = models.RiskCalculation.objects.get(id=risk_calc.id)
return job, set(params['inputs'])
