Python helpers.get_hazard_job函数代码示例

    def test_initialize_site_model(self):
        # we need a slightly different config file for this test
        cfg = helpers.demo_file(
            'simple_fault_demo_hazard/job_with_site_model.ini')
        self.job = helpers.get_hazard_job(cfg)
        self.calc = core.ClassicalHazardCalculator(self.job)

        self.calc.initialize_site_model()
        # If the site model isn't valid for the calculation geometry, a
        # `RuntimeError` should be raised here

        # Okay, it's all good. Now check the count of the site model records.
        [site_model_inp] = models.inputs4hcalc(
            self.job.hazard_calculation.id, input_type='site_model')
        sm_nodes = models.SiteModel.objects.filter(input=site_model_inp)

        self.assertEqual(2601, len(sm_nodes))

        num_pts_to_compute = len(
            self.job.hazard_calculation.points_to_compute())

        [site_data] = models.SiteData.objects.filter(
            hazard_calculation=self.job.hazard_calculation.id)

        # The site model is good. Now test that `site_data` was computed.
        # For now, just test the lengths of the site data collections:
        self.assertEqual(num_pts_to_compute, len(site_data.lons))
        self.assertEqual(num_pts_to_compute, len(site_data.lats))
        self.assertEqual(num_pts_to_compute, len(site_data.vs30s))
        self.assertEqual(num_pts_to_compute, len(site_data.vs30_measured))
        self.assertEqual(num_pts_to_compute, len(site_data.z1pt0s))
        self.assertEqual(num_pts_to_compute, len(site_data.z2pt5s))

    def test_initialize_site_model(self):
        # we need a slightly different config file for this test
        cfg = helpers.get_data_path(
            'simple_fault_demo_hazard/job_with_site_model.ini')
        self.job = helpers.get_hazard_job(cfg)
        self.calc = core.ClassicalHazardCalculator(self.job)

        self.calc.initialize_site_model()
        # If the site model isn't valid for the calculation geometry, a
        # `RuntimeError` should be raised here

        # Okay, it's all good. Now check the count of the site model records.
        sm_nodes = models.SiteModel.objects.filter(job=self.job)

        self.assertEqual(2601, len(sm_nodes))

        num_pts_to_compute = len(
            self.job.hazard_calculation.points_to_compute())

        hazard_site = models.HazardSite.objects.filter(
            hazard_calculation=self.job.hazard_calculation)

        # The site model is good. Now test that `hazard_site` was computed.
        # For now, just test the length.
        self.assertEqual(num_pts_to_compute, len(hazard_site))

    def setUp(self):
        # Patch a few methods here and restore them in the tearDown to avoid
        # too many nested with
        # See http://www.voidspace.org.uk/python/mock/patch.html \
        #     #patch-methods-start-and-stop
        self.patchers = []

        def start_patch(attr_path):
            _, attr = attr_path.rsplit('.', 1)
            patcher = patch(attr_path)
            self.patchers.append(patcher)
            setattr(self, attr, patcher.start())

        start_patch('openquake.engine.supervising.is_pid_running')

        # Patch the actions taken by the supervisor
        start_patch('openquake.engine.supervising.supervisor.\
record_job_stop_time')
        start_patch(
            'openquake.engine.supervising.supervisor.cleanup_after_job')
        start_patch('openquake.engine.supervising.supervisor.terminate_job')
        start_patch('openquake.engine.supervising.supervisor.get_job_status')
        start_patch('openquake.engine.supervising.supervisor'
                    '.update_job_status')

        logging.root.setLevel(logging.CRITICAL)

        cfg = get_data_path('end-to-end-hazard-risk/job_haz_classical.ini')
        self.job = get_hazard_job(cfg)

    def hazard_id(self):
        job = helpers.get_hazard_job(
            helpers.demo_file("simple_fault_demo_hazard/job.ini"))

        hazard_curve = [
            (0.001, 0.0398612669790014),
            (0.01, 0.039861266979001400), (0.05, 0.039728757480298900),
            (0.10, 0.029613426625612500), (0.15, 0.019827328756491600),
            (0.20, 0.013062270161451900), (0.25, 0.008655387950000430),
            (0.30, 0.005898520593689670), (0.35, 0.004061698589511780),
            (0.40, 0.002811727179526820), (0.45, 0.001995117417776690),
            (0.50, 0.001358705972845710), (0.55, 0.000989667841573727),
            (0.60, 0.000757544444296432), (0.70, 0.000272824002045979),
            (0.80, 0.00), (0.9, 0.00), (1.0, 0.00)]

        hd = models.HazardCurveData.objects.create(
            hazard_curve=models.HazardCurve.objects.create(
                output=models.Output.objects.create_output(
                    job, "Test Hazard curve", "hazard_curve"),
                investigation_time=50,
                imt="PGA", imls=[hz[0] for hz in hazard_curve],
                statistics="mean"),
            poes=[hz[1] for hz in hazard_curve],
            location="POINT(1 1)")

        return hd.hazard_curve.output.id

    def hazard_id(self):
        job = helpers.get_hazard_job(
            helpers.demo_file("scenario_hazard/job.ini"))
        hc = job.hazard_calculation
        job.hazard_calculation = models.HazardCalculation.objects.create(
            owner=hc.owner, truncation_level=hc.truncation_level,
            maximum_distance=hc.maximum_distance,
            intensity_measure_types=["PGA"],
            calculation_mode="scenario")
        job.status = "complete"
        job.save()

        output = models.Output.objects.create_output(
            job, "Test Hazard output", "gmf_scenario")

        fname = os.path.join(os.path.dirname(__file__), 'gmf_scenario.csv')
        with open(fname, 'rb') as csvfile:
            gmfreader = csv.reader(csvfile, delimiter=',')
            locations = gmfreader.next()

            arr = numpy.array([[float(x) for x in row] for row in gmfreader])
            for i, gmvs in enumerate(arr):
                models.GmfScenario.objects.create(
                    output=output,
                    imt="PGA",
                    gmvs=gmvs,
                    location="POINT(%s)" % locations[i])
        return output.id

 def setUpClass(cls):
     cfg = helpers.get_data_path('event_based_hazard/job.ini')
     job = helpers.get_hazard_job(cfg)
     rlz1 = models.LtRealization.objects.create(
         hazard_calculation=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)
     rlz2 = models.LtRealization.objects.create(
         hazard_calculation=job.hazard_calculation,
         ordinal=2, seed=1, weight=None,
         sm_lt_path="test_sm", gsim_lt_path="test_gsim",
         is_complete=False, total_items=1, completed_items=1)
     ses_coll1 = models.SESCollection.objects.create(
         output=models.Output.objects.create_output(
             job, "Test SES Collection 1", "ses"),
         lt_realization=rlz1)
     ses_coll2 = models.SESCollection.objects.create(
         output=models.Output.objects.create_output(
             job, "Test SES Collection 2", "ses"),
         lt_realization=rlz2)
     gmf_data1 = helpers.create_gmf_data_records(job, rlz1, ses_coll1)[0]
     points = [(15.3, 38.22), (15.7, 37.22),
               (15.4, 38.09), (15.56, 38.1), (15.2, 38.2)]
     gmf_data2 = helpers.create_gmf_data_records(
         job, rlz2, ses_coll2, points)[0]
     cls.gmf_coll1 = gmf_data1.gmf
     cls.ruptures1 = tuple(get_tags(gmf_data1))
     cls.ruptures2 = tuple(get_tags(gmf_data2))
     cls.investigation_time = job.hazard_calculation.investigation_time

    def test_del_haz_calc(self):
        hazard_job = helpers.get_hazard_job(self.hazard_cfg,
                                            username=getpass.getuser())
        hazard_calc = hazard_job.hazard_calculation

        models.Output.objects.create_output(
            hazard_job, 'test_curves_1', output_type='hazard_curve'
        )
        models.Output.objects.create_output(
            hazard_job, 'test_curves_2', output_type='hazard_curve'
        )

        # Sanity check: make sure the hazard calculation and outputs exist in
        # the database:
        hazard_calcs = models.HazardCalculation.objects.filter(
            id=hazard_calc.id
        )
        self.assertEqual(1, hazard_calcs.count())

        outputs = models.Output.objects.filter(oq_job=hazard_job.id)
        self.assertEqual(2, outputs.count())

        # Delete the calculation
        engine.del_haz_calc(hazard_calc.id)

        # Check that the hazard calculation and its outputs were deleted:
        outputs = models.Output.objects.filter(oq_job=hazard_job.id)
        self.assertEqual(0, outputs.count())

        hazard_calcs = models.HazardCalculation.objects.filter(
            id=hazard_calc.id
        )
        self.assertEqual(0, hazard_calcs.count())

    def get_hazard_job(self):
        job = helpers.get_hazard_job(
            helpers.get_data_path("event_based_hazard/job.ini"))
        helpers.create_gmf_from_csv(job, os.path.join(
            os.path.dirname(__file__), 'gmf.csv'))

        return job

    def hazard_id(self):
        job = helpers.get_hazard_job(
            helpers.demo_file("scenario_hazard/job.ini"))

        job.hazard_calculation = models.HazardCalculation.objects.create(
            owner=job.hazard_calculation.owner,
            truncation_level=job.hazard_calculation.truncation_level,
            maximum_distance=job.hazard_calculation.maximum_distance,
            intensity_measure_types_and_levels=(
                job.hazard_calculation.intensity_measure_types_and_levels),
            calculation_mode="scenario")

        job.save()

        output = models.Output.objects.create_output(
            job, "Test Hazard output", "gmf_scenario")

        fname = os.path.join(os.path.dirname(__file__), 'gmf_scenario.csv')
        with open(fname, 'rb') as csvfile:
            gmfreader = csv.reader(csvfile, delimiter=',')
            locations = gmfreader.next()

            arr = numpy.array([map(float, row) for row in gmfreader])
            for i, gmvs in enumerate(arr.transpose()):
                models.GmfScenario.objects.create(
                    output=output,
                    imt="MMI",
                    gmvs=gmvs,
                    result_grp_ordinal=1,
                    location="POINT(%s)" % locations[i])

        return output.id

 def setUp(self):
     self.cfg = helpers.get_data_path('event_based_hazard/job_2.ini')
     self.job = helpers.get_hazard_job(self.cfg, username=getpass.getuser())
     self.calc = core.EventBasedHazardCalculator(self.job)
     hc_id = self.job.hazard_calculation.id
     models.SiteCollection.cache[hc_id] = make_site_coll(0, 0, n=5)
     models.JobStats.objects.create(oq_job=self.job)

 def setUp(self):
     cfg = helpers.demo_file('simple_fault_demo_hazard/job.ini')
     self.job = helpers.get_hazard_job(cfg, username="test_user")
     for i in range(0, random.randint(1, 10)):
         models.LtRealization(
             hazard_calculation=self.job.hazard_calculation,
             ordinal=i, seed=None, weight=1 / (i + 1), sm_lt_path=[i],
             gsim_lt_path=[i], total_items=0, completed_items=0).save()

    def test_del_haz_calc_no_access(self):
        # Test the case where we try to delete a hazard calculation which does
        # not belong to current user.
        # In this case, deletion is now allowed and should raise an exception.
        hazard_job = helpers.get_hazard_job(self.hazard_cfg,
                                            username=helpers.random_string())
        hazard_calc = hazard_job.hazard_calculation

        self.assertRaises(RuntimeError, engine.del_haz_calc, hazard_calc.id)

    def hazard_id(self):
        job = helpers.get_hazard_job(helpers.demo_file("event_based_hazard/job.ini"))

        job.hazard_calculation = models.HazardCalculation.objects.create(
            owner=job.hazard_calculation.owner,
            truncation_level=job.hazard_calculation.truncation_level,
            maximum_distance=job.hazard_calculation.maximum_distance,
            intensity_measure_types_and_levels=(job.hazard_calculation.intensity_measure_types_and_levels),
            calculation_mode="event_based",
            investigation_time=50,
            ses_per_logic_tree_path=1,
        )
        job.save()
        hc = job.hazard_calculation

        lt_realization = models.LtRealization.objects.create(
            hazard_calculation=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,
        )

        gmf_set = models.GmfSet.objects.create(
            gmf_collection=models.GmfCollection.objects.create(
                output=models.Output.objects.create_output(job, "Test Hazard output", "gmf"),
                lt_realization=lt_realization,
                complete_logic_tree_gmf=False,
            ),
            investigation_time=hc.investigation_time,
            ses_ordinal=1,
            complete_logic_tree_gmf=False,
        )

        with open(os.path.join(os.path.dirname(__file__), "gmf.csv"), "rb") as csvfile:
            gmfreader = csv.reader(csvfile, delimiter=",")
            locations = gmfreader.next()

            gmv_matrix = numpy.array([[float(x) for x in row] for row in gmfreader]).transpose()

            rupture_ids = helpers.get_rupture_ids(job, hc, lt_realization, len(gmv_matrix[0]))

            for i, gmvs in enumerate(gmv_matrix):
                models.Gmf.objects.create(
                    gmf_set=gmf_set,
                    imt="PGA",
                    gmvs=gmvs,
                    rupture_ids=map(str, rupture_ids),
                    result_grp_ordinal=1,
                    location="POINT(%s)" % locations[i],
                )

        return gmf_set.gmf_collection.output.id

    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',
        }

        owner = helpers.default_user()

        vuln_file = models.Input(digest='123', path='/foo/bar', size=0,
                                 input_type='structural_vulnerability',
                                 owner=owner)
        vuln_file.save()
        exposure_file = models.Input(digest='456', path='/foo/baz', size=0,
                                     input_type='exposure', owner=owner)
        exposure_file.save()

        files = [vuln_file, exposure_file]

        rc = engine.create_risk_calculation(owner, params, files)
        # 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 setUpClass(self):
        cfg = helpers.demo_file("simple_fault_demo_hazard/job.ini")
        job = helpers.get_hazard_job(cfg)

        lt_rlz = models.LtRealization.objects.create(
            hazard_calculation=job.hazard_calculation,
            ordinal=0,
            seed=0,
            sm_lt_path="foo",
            gsim_lt_path="bar",
            total_items=0,
        )
        output = models.Output.objects.create(oq_job=job, owner=job.owner, display_name="test", output_type="ses")
        ses_coll = models.SESCollection.objects.create(output=output, lt_realization=lt_rlz)
        ses = models.SES.objects.create(ses_collection=ses_coll, investigation_time=50.0, ordinal=1)

        self.mesh_lons = numpy.array([0.1 * x for x in range(16)]).reshape((4, 4))
        self.mesh_lats = numpy.array([0.2 * x for x in range(16)]).reshape((4, 4))
        self.mesh_depths = numpy.array([0.3 * x for x in range(16)]).reshape((4, 4))

        # planar surface coords
        self.ps_lons = [1, 3, 5, 7]
        self.ps_lats = [2, 4, 6, 8]
        self.ps_depths = [0.1, 0.2, 0.3, 0.4]

        self.fault_rupture = models.SESRupture.objects.create(
            ses=ses,
            magnitude=5,
            strike=0,
            dip=0,
            rake=0,
            tectonic_region_type="Active Shallow Crust",
            is_from_fault_source=True,
            lons=self.mesh_lons,
            lats=self.mesh_lats,
            depths=self.mesh_depths,
            result_grp_ordinal=1,
            rupture_ordinal=1,
        )
        self.source_rupture = models.SESRupture.objects.create(
            ses=ses,
            magnitude=5,
            strike=0,
            dip=0,
            rake=0,
            tectonic_region_type="Active Shallow Crust",
            is_from_fault_source=False,
            lons=self.ps_lons,
            lats=self.ps_lats,
            depths=self.ps_depths,
            result_grp_ordinal=1,
            rupture_ordinal=2,
        )