def create_gmf_data_records(hazard_job, coordinates=None):
"""
Returns the created records.
:param hazard_joint: a :class:`openquake.engine.db.models.OqJob` instance
:param coordinates: a list of (lon, lat) pairs
If the coordinates are not set, a list of 5 predefined locations is used
"""
output = models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses")
gmf, ses_coll = create_gmf_sescoll(output)
ruptures = create_ses_ruptures(hazard_job, ses_coll, 3)
records = []
if coordinates is None:
coordinates = [(15.310, 38.225), (15.71, 37.225),
(15.48, 38.091), (15.565, 38.17),
(15.481, 38.25)]
site_ids = models.save_sites(hazard_job, coordinates)[1]
for site_id in site_ids:
records.append(models.GmfData.objects.create(
gmf=gmf,
task_no=0,
imt="PGA",
gmvs=[0.1, 0.2, 0.3],
rupture_ids=[r.id for r in ruptures],
site_id=site_id))
return records
def create_gmf_data_records(hazard_job, coordinates=None):
"""
Returns the created records.
:param hazard_joint: a :class:`openquake.engine.db.models.OqJob` instance
:param coordinates: a list of (lon, lat) pairs
If the coordinates are not set, a list of 5 predefined locations is used
"""
output = models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses")
gmf, ses_coll = create_gmf_sescoll(output)
ruptures = create_ses_ruptures(hazard_job, ses_coll, 3)
records = []
if coordinates is None:
coordinates = [(15.310, 38.225), (15.71, 37.225),
(15.48, 38.091), (15.565, 38.17),
(15.481, 38.25)]
for site_id in models.save_sites(hazard_job, coordinates):
records.append(models.GmfData.objects.create(
gmf=gmf,
task_no=0,
imt="PGA",
gmvs=[0.1, 0.2, 0.3],
rupture_ids=[r.id for r in ruptures],
site_id=site_id))
return records
def create_gmf_data_records(hazard_job, rlz=None, ses_coll=None, points=None):
"""
Returns the created records.
"""
gmf = create_gmf(hazard_job, rlz)
ses_coll = ses_coll or models.SESCollection.objects.create(
output=models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses"),
lt_model=gmf.lt_realization.lt_model,
ordinal=0)
ruptures = create_ses_ruptures(hazard_job, ses_coll, 3)
records = []
if points is None:
points = [(15.310, 38.225), (15.71, 37.225),
(15.48, 38.091), (15.565, 38.17),
(15.481, 38.25)]
for site_id in models.save_sites(hazard_job, points):
records.append(models.GmfData.objects.create(
gmf=gmf,
task_no=0,
imt="PGA",
gmvs=[0.1, 0.2, 0.3],
rupture_ids=[r.id for r in ruptures],
site_id=site_id))
return records
def create_gmf_from_csv(job, fname, output_type='gmf'):
"""
Populate the gmf_data table for an event_based (default)
or scenario calculation (output_type="gmf_scenario").
:param job: an :class:`openquake.engine.db.models.OqJob` instance
:param output_type: a string with the output type
"""
hc = job.get_oqparam()
if output_type == "gmf": # event based
hc.investigation_time = 50
hc.ses_per_logic_tree_path = 1
# tricks to fool the oqtask decorator
job.is_running = True
job.status = 'post_processing'
job.save()
output = models.Output.objects.create_output(
job, "Test SES Collection", "ses")
gmf, ses_coll = create_gmf_sescoll(output, output_type=output_type)
with open(fname, 'rb') as csvfile:
gmfreader = csv.reader(csvfile, delimiter=',')
locations = gmfreader.next()
gmv_matrix = numpy.array(
[map(float, row) for row in gmfreader]).transpose()
ruptures = create_ses_ruptures(job, ses_coll, len(gmv_matrix[0]))
for i, gmvs in enumerate(gmv_matrix):
point = tuple(map(float, locations[i].split()))
[site_id] = models.save_sites(job, [point])[1]
models.GmfData.objects.create(
gmf=gmf,
task_no=0,
imt="PGA", gmvs=gmvs,
rupture_ids=[r.id for r in ruptures],
site_id=site_id)
return gmf
def create_gmf_from_csv(job, fname, output_type='gmf'):
"""
Populate the gmf_data table for an event_based (default)
or scenario calculation (output_type="gmf_scenario").
:param job: an :class:`openquake.engine.db.models.OqJob` instance
:param output_type: a string with the output type
"""
hc = job.get_oqparam()
if output_type == "gmf": # event based
hc.investigation_time = 50
hc.ses_per_logic_tree_path = 1
# tricks to fool the oqtask decorator
job.is_running = True
job.status = 'post_processing'
job.save()
output = models.Output.objects.create_output(
job, "Test SES Collection", "ses")
gmf, ses_coll = create_gmf_sescoll(output, output_type=output_type)
with open(fname, 'rb') as csvfile:
gmfreader = csv.reader(csvfile, delimiter=',')
locations = gmfreader.next()
gmv_matrix = numpy.array(
[map(float, row) for row in gmfreader]).transpose()
ruptures = create_ses_ruptures(job, ses_coll, len(gmv_matrix[0]))
for i, gmvs in enumerate(gmv_matrix):
point = tuple(map(float, locations[i].split()))
[site_id] = models.save_sites(job, [point])
models.GmfData.objects.create(
gmf=gmf,
task_no=0,
imt="PGA", gmvs=gmvs,
rupture_ids=[r.id for r in ruptures],
site_id=site_id)
return gmf
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.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=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 [(-1.01, 1.01), (0.9, 1.01), (0.01, 0.01), (0.9, 0.9)]:
models.HazardSite.objects.create(
hazard_calculation=hazard_job, lon=point[0], lat=point[1])
models.HazardCurveData.objects.create(
hazard_curve=hazard_output,
poes=[0.1, 0.2, 0.3],
location="POINT(%s %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.create(
output=models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses"))
site_ids = models.save_sites(
hazard_job,
[(15.48, 38.0900001), (15.565, 38.17), (15.481, 38.25)])[1]
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)[0].gmf
else:
raise RuntimeError('Unexpected output_type: %s' % output_type)
hazard_job.status = "complete"
hazard_job.save()
risk_job = get_job(risk_cfg, username,
hazard_output_id=hazard_output.output.id)
return risk_job, set(risk_job.get_param('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.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=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=hazard_job, 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.create(
output=models.Output.objects.create_output(
hazard_job, "Test SES Collection", "ses"))
site_ids = models.save_sites(
hazard_job,
[(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)[0].gmf
else:
raise RuntimeError('Unexpected output_type: %s' % output_type)
hazard_job.status = "complete"
hazard_job.save()
risk_job = get_job(risk_cfg, username,
hazard_output_id=hazard_output.output.id)
return risk_job, set(risk_job.get_param('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.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=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=hazard_job, 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 = models.save_sites(
hazard_job,
[(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))
params['hazard_calculation_id'] = hazard_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)
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'])