def setUp(self):
self.session = self.db.Session()
# make 2 datasets with 2 lightcurves each. Lightcurves have different
# band
band1 = gen_band(central=150**6)
band2 = gen_band(central=160**6)
self.dataset1 = gen_dataset('sqlalchemy test')
self.dataset2 = gen_dataset('sqlalchemy test')
skyregion1 = gen_skyregion(self.dataset1)
skyregion2 = gen_skyregion(self.dataset2)
lightcurve1 = gen_lightcurve(band1, self.dataset1, skyregion1)
lightcurve2 = gen_lightcurve(band2, self.dataset1, skyregion1)
lightcurve3 = gen_lightcurve(band1, self.dataset2, skyregion2)
lightcurve4 = gen_lightcurve(band2, self.dataset2, skyregion2)
db_objecsts = lightcurve1 + lightcurve2 + lightcurve3 + lightcurve4
self.session.add_all(db_objecsts)
self.session.flush()
self.session.commit()
def setUp(self):
self.session = self.db.Session()
# make 2 datasets with 2 lightcurves each. Lightcurves have different
# band
band1 = gen_band(central=150 ** 6)
band2 = gen_band(central=160 ** 6)
self.dataset1 = gen_dataset("sqlalchemy test")
self.dataset2 = gen_dataset("sqlalchemy test")
skyregion1 = gen_skyregion(self.dataset1)
skyregion2 = gen_skyregion(self.dataset2)
lightcurve1 = gen_lightcurve(band1, self.dataset1, skyregion1)
lightcurve2 = gen_lightcurve(band2, self.dataset1, skyregion1)
lightcurve3 = gen_lightcurve(band1, self.dataset2, skyregion2)
lightcurve4 = gen_lightcurve(band2, self.dataset2, skyregion2)
db_objecsts = lightcurve1 + lightcurve2 + lightcurve3 + lightcurve4
self.session.add_all(db_objecsts)
self.session.flush()
self.session.commit()
def setUp(self):
self.session = self.db.Session()
self.dataset = gen_dataset('test varmetric step')
band = gen_band(dataset=self.dataset, central=150**6)
skyregion = gen_skyregion(self.dataset)
lightcurve = gen_lightcurve(band, self.dataset, skyregion)
self.session.add_all(lightcurve)
self.session.flush()
self.session.commit()
def setUp(self):
self.session = self.db.Session()
self.dataset = gen_dataset('test varmetric step')
band = gen_band(dataset=self.dataset, central=150**6)
skyregion = gen_skyregion(self.dataset)
lightcurve = gen_lightcurve(band, self.dataset, skyregion)
self.session.add_all(lightcurve)
self.session.flush()
self.session.commit()
def setUp(self):
"""
make a dataset with 10 images with 2 ligthcurves + one empty image
"""
self.session = self.database.Session()
self.band = gen_band(central=150**6)
self.dataset = gen_dataset('expiring runningcatalog test')
skyregion = gen_skyregion(self.dataset)
datapoints = 10
start = datetime.fromtimestamp(0)
ten_sec = timedelta(seconds=10)
xtrsrcs1 = []
xtrsrcs2 = []
images = []
assocs = []
for i in range(datapoints):
taustart_ts = start + ten_sec * i
image = gen_image(self.band, self.dataset, skyregion, taustart_ts)
if i == 5:
image.int = 10
images.append(image)
xtrsrcs1.append(gen_extractedsource(image))
xtrsrcs2.append(gen_extractedsource(image))
# now we can make runningcatalog, we use first xtrsrc as trigger src
self.runningcatalog1 = gen_runningcatalog(xtrsrcs1[0], self.dataset)
runningcatalog2 = gen_runningcatalog(xtrsrcs2[0], self.dataset)
assocskyrgn1 = gen_assocskyrgn(self.runningcatalog1, skyregion)
assocskyrgn2 = gen_assocskyrgn(runningcatalog2, skyregion)
# create the associations. Can't do this directly since the
# association table has non nullable columns
for xtrsrc in xtrsrcs1:
assocs.append(gen_assocxtrsource(self.runningcatalog1, xtrsrc))
for xtrsrc in xtrsrcs2:
assocs.append(gen_assocxtrsource(runningcatalog2, xtrsrc))
self.empty_image = gen_image(self.band, self.dataset, skyregion,
taustart_ts)
self.session.add_all([
self.band, skyregion, self.runningcatalog1, runningcatalog2,
assocskyrgn1, assocskyrgn2, self.empty_image
] + images + xtrsrcs1 + xtrsrcs2 + assocs)
self.session.flush()
self.session.commit()
def setUp(self):
"""
make a dataset with 10 images with 2 ligthcurves + one empty image
"""
self.session = self.database.Session()
self.band = gen_band(central=150**6)
self.dataset = gen_dataset('expiring runningcatalog test')
skyregion = gen_skyregion(self.dataset)
datapoints = 10
start = datetime.fromtimestamp(0)
ten_sec = timedelta(seconds=10)
xtrsrcs1 = []
xtrsrcs2 = []
images = []
assocs = []
for i in range(datapoints):
taustart_ts = start + ten_sec * i
image = gen_image(self.band, self.dataset, skyregion, taustart_ts)
if i == 5:
image.int = 10
images.append(image)
xtrsrcs1.append(gen_extractedsource(image))
xtrsrcs2.append(gen_extractedsource(image))
# now we can make runningcatalog, we use first xtrsrc as trigger src
self.runningcatalog1 = gen_runningcatalog(xtrsrcs1[0], self.dataset)
runningcatalog2 = gen_runningcatalog(xtrsrcs2[0], self.dataset)
assocskyrgn1 = gen_assocskyrgn(self.runningcatalog1, skyregion)
assocskyrgn2 = gen_assocskyrgn(runningcatalog2, skyregion)
# create the associations. Can't do this directly since the
# association table has non nullable columns
for xtrsrc in xtrsrcs1:
assocs.append(gen_assocxtrsource(self.runningcatalog1, xtrsrc))
for xtrsrc in xtrsrcs2:
assocs.append(gen_assocxtrsource(runningcatalog2, xtrsrc))
self.empty_image = gen_image(self.band, self.dataset, skyregion, taustart_ts)
self.session.add_all([self.band, skyregion, self.runningcatalog1, runningcatalog2,
assocskyrgn1, assocskyrgn2, self.empty_image] +
images + xtrsrcs1 + xtrsrcs2 + assocs)
self.session.flush()
self.session.commit()
def test_delete_dataset(self):
db = Database()
dataset = gen_dataset('delete test')
band = gen_band(dataset)
skyregion = gen_skyregion(dataset)
image = gen_image(band, dataset, skyregion)
extractedsource = gen_extractedsource(image)
runningcatalog = gen_runningcatalog(extractedsource, dataset)
db.session.add_all((
dataset, band, skyregion, image, extractedsource, runningcatalog,
))
db.session.flush()
db.session.delete(dataset)
db.session.flush()
images = db.session.query(Image).filter(Image.dataset==dataset).all()
self.assertEqual(len(images), 0)
def test_delete_dataset(self):
db = Database()
dataset = gen_dataset('delete test')
band = gen_band(dataset)
skyregion = gen_skyregion(dataset)
image = gen_image(band, dataset, skyregion)
extractedsource = gen_extractedsource(image)
runningcatalog = gen_runningcatalog(extractedsource, dataset)
db.session.add_all((
dataset,
band,
skyregion,
image,
extractedsource,
runningcatalog,
))
db.session.flush()
db.session.delete(dataset)
db.session.flush()
images = db.session.query(Image).filter(Image.dataset == dataset).all()
self.assertEqual(len(images), 0)