def test_get_forecast(self):
"""
Simple forecast regression test of OpenDAP data repository.
"""
epsg, bbox = self.epsg_bbox
dem_file = path.join(shyftdata_dir, "netcdf", "etopo180.nc")
# Period start
(year, month, day), hour = self.start_date, 9
n_hours = 30
utc = api.Calendar() # No offset gives Utc
t0 = api.YMDhms(year, month, day, hour)
period = api.UtcPeriod(utc.time(t0),
utc.time(t0) + api.deltahours(n_hours))
t_c = utc.time(t0) + api.deltahours(7)
repos = GFSDataRepository(epsg, dem_file, bounding_box=bbox)
data_names = ("temperature", "wind_speed", "precipitation",
"relative_humidity", "radiation")
sources = repos.get_forecast(data_names, period, t_c, None)
self.assertEqual(set(data_names), set(sources.keys()))
self.assertEqual(len(sources["temperature"]), 6)
data1 = sources["temperature"][0]
data2 = sources["temperature"][1]
self.assertNotEqual(data1.mid_point().x, data2.mid_point().x)
self.assertNotEqual(data1.mid_point().y, data2.mid_point().y)
self.assertNotEqual(data1.mid_point().z, data2.mid_point().z)
h_dt = (data1.ts.time(1) - data1.ts.time(0)) / 3600
self.assertEqual(data1.ts.size(), 30 // h_dt)
def test_get_forecast(self):
"""
Simple forecast regression test of OpenDAP data repository.
"""
epsg, bbox = self.epsg_bbox
dem_file = path.join(shyftdata_dir, "netcdf", "etopo180.nc")
# Period start
(year, month, day), hour = self.start_date, 9
n_hours = 30
utc = api.Calendar() # No offset gives Utc
t0 = api.YMDhms(year, month, day, hour)
period = api.UtcPeriod(utc.time(t0), utc.time(t0) + api.deltahours(n_hours))
t_c = utc.time(t0) + api.deltahours(7)
repos = GFSDataRepository(epsg, dem_file, bounding_box=bbox)
data_names = ("temperature", "wind_speed", "precipitation",
"relative_humidity", "radiation")
sources = repos.get_forecast(data_names, period, t_c, None)
self.assertEqual(set(data_names), set(sources.keys()))
self.assertEqual(len(sources["temperature"]), 6)
data1 = sources["temperature"][0]
data2 = sources["temperature"][1]
self.assertNotEqual(data1.mid_point().x, data2.mid_point().x)
self.assertNotEqual(data1.mid_point().y, data2.mid_point().y)
self.assertNotEqual(data1.mid_point().z, data2.mid_point().z)
h_dt = (data1.ts.time(1) - data1.ts.time(0))/3600
self.assertEqual(data1.ts.size(), 30//h_dt)
def test_get_forecast(self):
"""
Simple forecast regression test of OpenDAP data repository.
"""
epsg, bbox = self.epsg_bbox
dem_file = path.join(shyftdata_dir, "netcdf", "etopo180.nc")
n_hours = 30
t0 = self.start_date + api.deltahours(9)
period = api.UtcPeriod(t0, t0 + api.deltahours(n_hours))
t_c = self.start_date + api.deltahours(
7) # the beginning of the forecast criteria
repos = GFSDataRepository(epsg, dem_file, bounding_box=bbox)
data_names = (
"temperature",
) # the full set: "wind_speed", "precipitation", "relative_humidity", "radiation")
sources = repos.get_forecast(data_names, period, t_c, None)
self.assertEqual(set(data_names), set(sources.keys()))
self.assertEqual(len(sources["temperature"]), 6)
data1 = sources["temperature"][0]
data2 = sources["temperature"][1]
self.assertNotEqual(data1.mid_point().x, data2.mid_point().x)
self.assertNotEqual(data1.mid_point().y, data2.mid_point().y)
self.assertNotEqual(data1.mid_point().z, data2.mid_point().z)
self.assertLessEqual(
data1.ts.time(0), period.start,
'expect returned fc ts to cover requested period')
self.assertGreaterEqual(
data1.ts.total_period().end, period.end,
'expect returned fc ts to cover requested period')
def test_get_forecast(self):
"""
Simple forecast regression test of OpenDAP data repository.
"""
epsg, bbox = self.epsg_bbox
dem_file = path.join(shyftdata_dir, "netcdf", "etopo180.nc")
n_hours = 30
t0 = self.start_date + api.deltahours(9)
period = api.UtcPeriod(t0, t0 + api.deltahours(n_hours))
t_c = self.start_date + api.deltahours(7) # the beginning of the forecast criteria
repos = GFSDataRepository(epsg, dem_file, bounding_box=bbox)
data_names = ("temperature",) # the full set: "wind_speed", "precipitation", "relative_humidity", "radiation")
sources = repos.get_forecast(data_names, period, t_c, None)
self.assertEqual(set(data_names), set(sources.keys()))
self.assertEqual(len(sources["temperature"]), 6)
data1 = sources["temperature"][0]
data2 = sources["temperature"][1]
self.assertNotEqual(data1.mid_point().x, data2.mid_point().x)
self.assertNotEqual(data1.mid_point().y, data2.mid_point().y)
self.assertNotEqual(data1.mid_point().z, data2.mid_point().z)
self.assertLessEqual(data1.ts.time(0), period.start, 'expect returned fc ts to cover requested period')
self.assertGreaterEqual(data1.ts.total_period().end, period.end, 'expect returned fc ts to cover requested period')
