def write_uh_spectra(job_ctxt):
"""Write the top-level Uniform Hazard Spectra calculation results records
to the database.
In the workflow of the UHS calculator, this should be written prior to the
execution of the main job. (See
:method:`openquake.calculators.base.Calculator.pre_execute`.)
This function writes:
* 1 record to uiapi.output
* 1 record to hzrdr.uh_spectra
* 1 record to hzrdr.uh_spectrum, per PoE defined in the calculation config
:param job_ctxt:
:class:`openquake.engine.JobContext` instance for the current
UHS job.
"""
oq_job_profile = job_ctxt.oq_job_profile
oq_job = job_ctxt.oq_job
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="UH Spectra for calculation id %s" % oq_job.id,
db_backed=True,
output_type="uh_spectra",
)
output.save()
uh_spectra = UhSpectra(
output=output,
timespan=oq_job_profile.investigation_time,
realizations=oq_job_profile.realizations,
periods=oq_job_profile.uhs_periods,
)
uh_spectra.save()
for poe in oq_job_profile.poes:
uh_spectrum = UhSpectrum(uh_spectra=uh_spectra, poe=poe)
uh_spectrum.save()
def write_uh_spectra(job_ctxt):
"""Write the top-level Uniform Hazard Spectra calculation results records
to the database.
In the workflow of the UHS calculator, this should be written prior to the
execution of the main job. (See
:method:`openquake.calculators.base.Calculator.pre_execute`.)
This function writes:
* 1 record to uiapi.output
* 1 record to hzrdr.uh_spectra
* 1 record to hzrdr.uh_spectrum, per PoE defined in the calculation config
:param job_ctxt:
:class:`openquake.engine.JobContext` instance for the current
UHS job.
"""
oq_job_profile = job_ctxt.oq_job_profile
oq_job = job_ctxt.oq_job
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name='UH Spectra for calculation id %s' % oq_job.id,
db_backed=True,
output_type='uh_spectra')
output.save()
uh_spectra = UhSpectra(
output=output,
timespan=oq_job_profile.investigation_time,
realizations=oq_job_profile.realizations,
periods=oq_job_profile.uhs_periods)
uh_spectra.save()
for poe in oq_job_profile.poes:
uh_spectrum = UhSpectrum(uh_spectra=uh_spectra, poe=poe)
uh_spectrum.save()
def pre_execute(self):
"""
Perform the following pre-execution tasks:
* store the exposure model specified in the
configuration file into database
* store the fragility model specified in the
configuration file into database
* split the interested sites into blocks for
later processing
* write the initial database container records
for calculation results
"""
self.store_exposure_assets()
self.store_fragility_model()
self.partition()
oq_job = self.job_ctxt.oq_job
fm = _fm(oq_job)
output = Output(owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per asset) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_asset")
output.save()
DmgDistPerAsset(output=output,
dmg_states=_damage_states(fm.lss)).save()
output = Output(owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per taxonomy) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_taxonomy")
output.save()
DmgDistPerTaxonomy(output=output,
dmg_states=_damage_states(fm.lss)).save()
output = Output(owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (total damage distributions) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_total")
output.save()
DmgDistTotal(output=output, dmg_states=_damage_states(fm.lss)).save()
output = Output(owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (collapse map) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="collapse_map")
output.save()
[ism] = inputs4job(oq_job.id, input_type="exposure")
[em] = ExposureModel.objects.filter(input=ism, owner=oq_job.owner)
CollapseMap(output=output, exposure_model=em).save()
def pre_execute(self):
"""
Perform the following pre-execution tasks:
* store the exposure model specified in the
configuration file into database
* store the fragility model specified in the
configuration file into database
* split the interested sites into blocks for
later processing
* write the initial database container records
for calculation results
"""
self.store_exposure_assets()
self.store_fragility_model()
self.partition()
oq_job = self.job_ctxt.oq_job
fm = _fm(oq_job)
damage_states = scenario_damage.damage_states(fm)
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per asset) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_asset")
output.save()
DmgDistPerAsset(
output=output,
dmg_states=damage_states).save()
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per taxonomy) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_taxonomy")
output.save()
DmgDistPerTaxonomy(
output=output,
dmg_states=damage_states).save()
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (total damage distributions) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_total")
output.save()
DmgDistTotal(
output=output,
dmg_states=damage_states).save()
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (collapse map) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="collapse_map")
output.save()
[ism] = inputs4job(oq_job.id, input_type="exposure")
[em] = ExposureModel.objects.filter(input=ism, owner=oq_job.owner)
CollapseMap(
output=output,
exposure_model=em).save()
def pre_execute(self):
"""
Perform the following pre-execution tasks:
* store the exposure model specified in the
configuration file into database
* store the fragility model specified in the
configuration file into database
* split the interested sites into blocks for
later processing
* write the initial database container records
for calculation results
"""
self.store_exposure_assets()
self.store_fragility_model()
self.partition()
oq_job = self.job_ctxt.oq_job
fm = _fm(oq_job)
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per asset) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_asset")
output.save()
DmgDistPerAsset(
output=output,
dmg_states=_damage_states(fm.lss)).save()
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (damage distributions per taxonomy) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_per_taxonomy")
output.save()
DmgDistPerTaxonomy(
output=output,
dmg_states=_damage_states(fm.lss)).save()
output = Output(
owner=oq_job.owner,
oq_job=oq_job,
display_name="SDA (total damage distributions) "
"results for calculation id %s" % oq_job.id,
db_backed=True,
output_type="dmg_dist_total")
output.save()
DmgDistTotal(
output=output,
dmg_states=_damage_states(fm.lss)).save()
