def test_serialize_small(self):
data = LOSS_CURVE_DATA(20, 4)
self.job = self.setup_classic_job()
output_path = self.generate_output_path(self.job)
for i in xrange(0, 20):
lcw = LossCurveDBWriter(output_path + str(i), self.job.id)
# Call the function under test.
lcw.serialize(data)
def test_serialize_small(self):
data = LOSS_CURVE_DATA(20, 4)
self.job = self.setup_classic_job()
output_path = self.generate_output_path(self.job)
for i in xrange(0, 20):
lcw = LossCurveDBWriter(output_path + str(i), self.job.id)
# Call the function under test.
lcw.serialize(data)
def setUp(self):
self.job = self.setup_classic_job()
self.session = get_uiapi_writer_session()
output_path = self.generate_output_path(self.job)
self.display_name = os.path.basename(output_path)
self.writer = LossCurveDBWriter(self.session, output_path, self.job.id)
def setUp(self):
path = os.path.join(helpers.SCHEMA_EXAMPLES_DIR, "LCB-exposure.yaml")
inputs = [("exposure", path)]
self.job = self.setup_classic_job(inputs=inputs)
[input] = models.inputs4job(self.job.id,
input_type="exposure",
path=path)
owner = models.OqUser.objects.get(user_name="openquake")
emdl = input.model()
if not emdl:
emdl = models.ExposureModel(owner=owner,
input=input,
description="LCB exposure model",
category="LCB cars",
stco_unit="peanuts",
stco_type="aggregated")
emdl.save()
asset_data = [
(Site(-118.077721, 33.852034), {
u'stco': 5.07,
u'asset_ref': u'a5625',
u'taxonomy': u'HAZUS_RM1L_LC'
}),
(Site(-118.077721, 33.852034), {
u'stco': 5.63,
u'asset_ref': u'a5629',
u'taxonomy': u'HAZUS_URML_LC'
}),
(Site(-118.077721, 33.852034), {
u'stco': 11.26,
u'asset_ref': u'a5630',
u'taxonomy': u'HAZUS_URML_LS'
}),
(Site(-118.077721, 33.852034), {
u'stco': 5.5,
u'asset_ref': u'a5636',
u'taxonomy': u'HAZUS_C3L_MC'
}),
]
for idx, (site, adata) in enumerate(asset_data):
location = GEOSGeometry(site.point.to_wkt())
asset = models.ExposureData(exposure_model=emdl,
site=location,
**adata)
asset.save()
RISK_LOSS_CURVE_DATA[idx][1][1] = asset
output_path = self.generate_output_path(self.job)
self.display_name = os.path.basename(output_path)
self.writer = LossCurveDBWriter(output_path, self.job.id)
self.reader = LossCurveDBReader()
class LossCurveDBWriterTestCase(unittest.TestCase, helpers.DbTestMixin):
"""
Unit tests for the LossCurveDBWriter class, which serializes
loss curves to the database.
"""
def tearDown(self):
if hasattr(self, "job") and self.job:
self.teardown_job(self.job)
if hasattr(self, "output") and self.output:
self.teardown_output(self.output)
def setUp(self):
self.job = self.setup_classic_job()
self.session = get_uiapi_writer_session()
output_path = self.generate_output_path(self.job)
self.display_name = os.path.basename(output_path)
self.writer = LossCurveDBWriter(self.session, output_path, self.job.id)
def test_insert(self):
"""All the records are inserted correctly."""
output = self.writer.output
# Call the function under test.
data = RISK_LOSS_CURVE_DATA
self.writer.serialize(data)
# After calling the function under test we see the expected output.
self.assertEqual(1, len(self.job.output_set))
# Make sure the inserted output record has the right data.
[output] = self.job.output_set
self.assertTrue(output.db_backed)
self.assertTrue(output.path is None)
self.assertEqual(self.display_name, output.display_name)
self.assertEqual("loss_curve", output.output_type)
self.assertTrue(self.job is output.oq_job)
# After calling the function under test we see the expected loss asset
# data.
self.assertEqual(4, len(output.lossassetdata_set))
inserted_data = []
for lad in output.lossassetdata_set:
pos = lad.pos.coords(self.session)
for curve in lad.losscurvedata_set:
data = (Site(pos[0], pos[1]),
(Curve(zip(curve.abscissae, curve.poes)),
{u'assetID': lad.asset_id}))
inserted_data.append(data)
def normalize(values):
result = []
for value in values:
result.append((value[0],
(value[1][0],
{'assetID': value[1][1]['assetID']})))
return sorted(result, key=lambda v: v[1][1]['assetID'])
self.assertEquals(normalize(RISK_LOSS_CURVE_DATA),
normalize(inserted_data))