def test_no_dap_data_for_requested_run(self):
models = [self.transport]
# Start is after available time
model = CachingModelController(latitude=self.start_lat,
longitude=self.start_lon,
depth=self.start_depth,
start=datetime.utcnow() + timedelta(days=30),
step=self.time_step,
nstep=self.num_steps,
npart=self.num_particles,
models=models,
use_bathymetry=False,
use_shoreline=False)
with self.assertRaises(BaseDataControllerError):
model.run("http://thredds.axiomalaska.com/thredds/dodsC/PWS_L2_FCST.nc", output_formats = ['NetCDF'], output_path=self.output_path, cache_path=self.cache_path, remove_cache=False)
# Start is OK but Ending is after available time
model = CachingModelController(latitude=self.start_lat,
longitude=self.start_lon,
depth=self.start_depth,
start=datetime.utcnow() - timedelta(days=2),
step=self.time_step,
nstep=500,
npart=self.num_particles,
models=models,
use_bathymetry=False,
use_shoreline=False)
with self.assertRaises(BaseDataControllerError):
model.run("http://thredds.axiomalaska.com/thredds/dodsC/PWS_L2_FCST.nc", output_formats = ['NetCDF'], output_path=self.output_path, cache_path=self.cache_path, remove_cache=False)
def test_run_from_dap_without_cache(self):
models = [self.transport]
p = Point(self.start_lon, self.start_lat)
model = CachingModelController(geometry=p,
depth=self.start_depth,
start=self.start_time,
step=self.time_step,
nstep=self.num_steps,
npart=self.num_particles,
models=models,
use_bathymetry=False,
use_shoreline=False)
particles = model.run("http://thredds.axiomalaska.com/thredds/dodsC/PWS_L2_FCST.nc", output_formats = ['NetCDF'], output_path=self.output_path)
self.assertEquals(len(particles), self.num_particles)
# We didn't pass remove_cache=False, so it should have been removed by the CachingModelController.
self.assertFalse(os.path.exists(self.cache_path))
self.assertTrue(os.path.exists(os.path.join(self.output_path, "trajectories.nc")))
def test_timechunk_greater_than_timestep(self):
models = [self.transport]
model = CachingModelController(latitude=self.start_lat,
longitude=self.start_lon,
depth=self.start_depth,
start=self.start_time,
step=self.time_step,
nstep=self.num_steps,
npart=self.num_particles,
models=models,
use_bathymetry=False,
use_shoreline=False,
time_chunk=48,
horiz_chunk=2)
particles = model.run("/data/lm/tests/pws_das_2014*.nc", output_formats = ['NetCDF'], output_path=self.output_path, cache_path=self.cache_path, remove_cache=False)
self.assertEquals(len(particles), self.num_particles)
self.assertTrue(os.path.exists(self.cache_path))
os.remove(self.cache_path)
self.assertTrue(os.path.exists(os.path.join(self.output_path, "trajectories.nc")))
def test_run_from_multiple_files_with_cache(self):
models = [self.transport]
p = Point(self.start_lon, self.start_lat)
model = CachingModelController(geometry=p,
depth=self.start_depth,
start=self.start_time,
step=self.time_step,
nstep=self.num_steps,
npart=self.num_particles,
models=models,
use_bathymetry=False,
se_shoreline=False,
time_chunk=10,
horiz_chunk=4,
bathy_path=self.bathy_file)
particles = model.run("/data/lm/tests/pws_das_2014*.nc", output_formats = ['NetCDF'], output_path=self.output_path, cache_path=self.cache_path, remove_cache=False)
self.assertEquals(len(particles), self.num_particles)
self.assertTrue(os.path.exists(self.cache_path))
os.remove(self.cache_path)
self.assertTrue(os.path.exists(os.path.join(self.output_path, "trajectories.nc")))