class test_getters(unittest.TestCase):
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
sprint.PrintTarget.CONSOLE = 1134
self._engine = Coordinator()
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_get_oei(self):
multiplier_mdl = os.path.join(
self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
# add a model to the engine
m1 = self._engine.add_model(id=1234, attrib={'mdl': multiplier_mdl})
self.assertTrue(m1)
# query the oei
oei = self._engine.get_exchange_item_info(1234, 'OUTPUT')
self.assertTrue(len(oei) == 1)
self.assertTrue(oei[0]['geometry'].has_key('type'))
self.assertTrue(oei[0]['geometry'].has_key('srs'))
self.assertTrue(oei[0]['geometry'].has_key('count'))
self.assertTrue(oei[0]['geometry'].has_key('extent'))
self.assertTrue(oei[0]['geometry'].has_key('wkb'))
self.assertTrue(oei[0]['geometry'].has_key('hash'))
def test_get_iei(self):
multiplier_mdl = os.path.join(
self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
# add a model to the engine
m1 = self._engine.add_model(id=1234, attrib={'mdl': multiplier_mdl})
self.assertTrue(m1)
# query the oei
oei = self._engine.get_exchange_item_info(1234, 'INPUT')
self.assertTrue(len(oei) == 1)
self.assertTrue(oei[0]['geometry'].has_key('type'))
self.assertTrue(oei[0]['geometry'].has_key('srs'))
self.assertTrue(oei[0]['geometry'].has_key('count'))
self.assertTrue(oei[0]['geometry'].has_key('extent'))
self.assertTrue(oei[0]['geometry'].has_key('wkb'))
self.assertTrue(oei[0]['geometry'].has_key('hash'))
def setUp(self):
self.engine = Coordinator()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = DebugListener()
self.engine = Coordinator()
PrintTarget.CONSOLE = 1134
self.basepath = os.path.dirname(__file__)
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
self.engine = Coordinator()
sprint.PrintTarget.CONSOLE = 1134
self.g = n.DiGraph()
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
sprint.PrintTarget.CONSOLE = 1134
self._engine = Coordinator()
self.basepath = os.path.dirname(__file__)
class test_units(unittest.TestCase):
def setUp(self):
self.engine = Coordinator()
pass
def test_basic_conversion(self):
# add models to engine
mdl1 = '../../app_data/models/randomizer/randomizer.mdl'
params = parse_json(mdl1)
params.update({'id': 'm1', 'mdl': mdl1, 'model_type': 'mdl'})
m1 = self.engine.add_model(**params)
mdl2 = '../../app_data/models/multiplier/multiplier.mdl'
params = parse_json(mdl2)
params.update({'id': 'm2', 'mdl': mdl2, 'model_type': 'mdl'})
m2 = self.engine.add_model(**params)
self.assertTrue(m1)
self.assertTrue(m2)
self.assertTrue(len(self.engine.Models()) == 2)
mi1 = m1.instance()
mi2 = m2.instance()
# run the model mi1
mi1.run(inputs={})
# get the oei and iei that will be mapped
oei = mi1.outputs()['random POINT 1-10']
outvals = numpy.array(oei.getValues2())
iei = mi2.inputs()['some_value']
converted_vals = units.convert_units(oei=oei, iei=iei, vals=outvals)
print 'done'
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
self.engine = Coordinator()
sprint.PrintTarget.CONSOLE = 1134
self.g = n.DiGraph()
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
sprint.PrintTarget.CONSOLE = 1134
self._engine = Coordinator()
self.basepath = os.path.dirname(__file__)
class test_getters(unittest.TestCase):
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
sprint.PrintTarget.CONSOLE = 1134
self._engine = Coordinator()
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_get_oei(self):
multiplier_mdl = os.path.join(self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
# add a model to the engine
m1 = self._engine.add_model(id=1234, attrib={'mdl':multiplier_mdl})
self.assertTrue(m1)
# query the oei
oei = self._engine.get_exchange_item_info(1234, 'OUTPUT')
self.assertTrue(len(oei) == 1)
self.assertTrue(oei[0]['geometry'].has_key('type'))
self.assertTrue(oei[0]['geometry'].has_key('srs'))
self.assertTrue(oei[0]['geometry'].has_key('count'))
self.assertTrue(oei[0]['geometry'].has_key('extent'))
self.assertTrue(oei[0]['geometry'].has_key('wkb'))
self.assertTrue(oei[0]['geometry'].has_key('hash'))
def test_get_iei(self):
multiplier_mdl = os.path.join(self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
# add a model to the engine
m1 = self._engine.add_model(id=1234, attrib={'mdl':multiplier_mdl})
self.assertTrue(m1)
# query the oei
oei = self._engine.get_exchange_item_info(1234, 'INPUT')
self.assertTrue(len(oei) == 1)
self.assertTrue(oei[0]['geometry'].has_key('type'))
self.assertTrue(oei[0]['geometry'].has_key('srs'))
self.assertTrue(oei[0]['geometry'].has_key('count'))
self.assertTrue(oei[0]['geometry'].has_key('extent'))
self.assertTrue(oei[0]['geometry'].has_key('wkb'))
self.assertTrue(oei[0]['geometry'].has_key('hash'))
class testWofSimulation(unittest.TestCase):
def setUp(self):
self.engine = Coordinator()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = DebugListener()
self.engine = Coordinator()
PrintTarget.CONSOLE = 1134
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_wof_feedforward(self):
args = dict(network='iutah',
site='LR_WaterLab_AA',
variable='RH_enc',
start=datetime.datetime(2015, 10, 26, 0, 0, 0),
end=datetime.datetime(2015, 10, 30, 0, 0, 0),
wsdl='http://data.iutahepscor.org/LoganRiverWOF/cuahsi_1_1.asmx?WSDL',
type=wrappers.Types.WOF)
# add the WaterOneFlow component to the engine
m1 = self.engine.add_model(id=1234, **args)
self.assertTrue(m1)
# load a test component
multiplier_mdl = os.path.join(self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
args = dict(mdl=multiplier_mdl)
m2 = self.engine.add_model(id=1235, attrib=args)
self.assertTrue(m1)
# assert that the models have been added correctly
models = self.engine.get_all_models()
self.assertTrue(len(models) == 2)
# add a link from WaterOneFlow to multiplier
wof_oei = self.engine.get_exchange_item_info(modelid=1234, eitype=stdlib.ExchangeItemType.OUTPUT)
mul_iei = self.engine.get_exchange_item_info(modelid=1235, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=1234, from_item_id=wof_oei[0]['name'],
to_id=1235, to_item_id=mul_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
links = self.engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation
self.engine.run_simulation()
status = stdlib.Status.UNDEFINED
while status != stdlib.Status.FINISHED and status != stdlib.Status.ERROR:
status = self.engine.get_status()
time.sleep(1)
# check that output data was generated
m = self.engine.get_model_by_id(id = 1235)
values = m.instance().outputs()['multipliedValue'].getValues2()
self.assertTrue(len(values) > 0)
self.assertTrue(values[0] != 0)
class test_link_order(unittest.TestCase):
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
self.engine = Coordinator()
sprint.PrintTarget.CONSOLE = 1134
self.g = n.DiGraph()
def tearDown(self):
del self.g
def test_determine_execution_order(self):
# add models
mdl1 = '../data/randomizer.mdl'
mdl2 = '../data/multiplier.mdl'
# add both models. ids can be anything
id1 = 'm1'
id2 = 'm2'
m1 = self.engine.add_model(id=id1, attrib={'mdl': mdl1})
m2 = self.engine.add_model(id=id2, attrib={'mdl': mdl2})
self.assertTrue(m1)
self.assertTrue(m2)
self.assertTrue(len(self.engine.Models()) == 2)
# create link
rand_oei = self.engine.get_exchange_item_info(modelid=id1, eitype=stdlib.ExchangeItemType.OUTPUT)
mult_iei = self.engine.get_exchange_item_info(modelid=id2, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=id1, from_item_id=rand_oei[0]['name'],
to_id=id2, to_item_id=mult_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
self.assertTrue(len(self.engine.get_all_links()) == 1)
# get execution order
order = self.engine.determine_execution_order()
self.assertTrue(''.join(order) == 'm1m2')
def test_basic(self):
"""
m1 -> m2 -> m3 -> m4 -> m5 -> m6
"""
# add some edges to simulate links
self.g.add_edge('m1','m2')
self.g.add_edge('m2','m3')
self.g.add_edge('m3','m4')
self.g.add_edge('m4','m5')
self.g.add_edge('m5','m6')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m3m4m5m6')
def test_simple_tree(self):
"""
m1 -> m2
-> m3
m6 -> m5 -> m4
"""
self.g.add_edge('m1','m2')
self.g.add_edge('m2','m3')
self.g.add_edge('m6','m5')
self.g.add_edge('m5','m4')
self.g.add_edge('m4','m3')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m6m5m4m3')
def test_loop(self):
"""
m6 -> m5 -> m4 \
^ \
| -> m3
<- |m1| -> m2 /
"""
self.g.add_edge('m1','m2')
self.g.add_edge('m1','m6')
self.g.add_edge('m2','m3')
self.g.add_edge('m6','m5')
self.g.add_edge('m5','m4')
self.g.add_edge('m4','m3')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m6m5m4m3')
def test_bidirectional(self):
"""
m1 <-> m2 -> m3
"""
self.g.add_edge('m1','m2')
self.g.add_edge('m2','m3')
self.g.add_edge('m3','m2')
self.g.add_edge('m3','m4')
# remove any models that done have links
#for
# determine cycles
cycles = n.recursive_simple_cycles(self.g)
for cycle in cycles:
# remove edges that form cycles
self.g.remove_edge(cycle[0],cycle[1])
# perform toposort
order = n.topological_sort(self.g)
# re-add bidirectional dependencies (i.e. cycles)
for cycle in cycles:
# find index of inverse link
for i in xrange(0,len(order)-1):
if order[i] == cycle[1] and order[i+1] == cycle[0]:
order.insert(i+2, cycle[1])
order.insert(i+3,cycle[0])
break
self.assertTrue(''.join(order) == 'm1m2m3m2m3m4')
def setUp(self):
self.engine = Coordinator()
pass
def test_netcdf_input(self):
engine = Coordinator()
args = dict(ncpath = './TWDEF_distributed/prcp.nc',
tdim = 'time',
xdim = 'x',
ydim = 'y',
tunit = 'hours',
starttime = '10-26-2015 00:00:00',
type = wrappers.Types.NETCDF)
# add the WaterOneFlow component to the engine
engine.add_model(id=1234, attrib=args)
# load ueb component
mdl = '../ueb.mdl'
args = dict(mdl = mdl)
# config_params = parse_config(mdl)
engine.add_model(id=1235, attrib=args)
# assert that the models have been added correctly
models = engine.get_all_models()
self.assertTrue(len(models) == 2)
spatial_interpolation = space.spatial_nearest_neighbor()
# add a link from NetCDF to UEB
netcdf = engine.get_output_exchange_items_summary(id=1234)
ueb = engine.get_input_exchange_items_summary(id=1235)
engine.add_link(from_id=1234, from_item_id = netcdf[0]['name'],
to_id=1235, to_item_id = ueb[0]['name'],
spatial_interp=spatial_interpolation,
temporal_interp=None,
uid=None)
links = engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation
engine.run_simulation()
print 'done'
class test_link_order(unittest.TestCase):
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
self.engine = Coordinator()
sprint.PrintTarget.CONSOLE = 1134
self.g = n.DiGraph()
def tearDown(self):
del self.g
def test_determine_execution_order(self):
# add models
mdl1 = '../data/randomizer.mdl'
mdl2 = '../data/multiplier.mdl'
# add both models. ids can be anything
id1 = 'm1'
id2 = 'm2'
m1 = self.engine.add_model(id=id1, attrib={'mdl': mdl1})
m2 = self.engine.add_model(id=id2, attrib={'mdl': mdl2})
self.assertTrue(m1)
self.assertTrue(m2)
self.assertTrue(len(self.engine.Models()) == 2)
# create link
rand_oei = self.engine.get_exchange_item_info(
modelid=id1, eitype=stdlib.ExchangeItemType.OUTPUT)
mult_iei = self.engine.get_exchange_item_info(
modelid=id2, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=id1,
from_item_id=rand_oei[0]['name'],
to_id=id2,
to_item_id=mult_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
self.assertTrue(len(self.engine.get_all_links()) == 1)
# get execution order
order = self.engine.determine_execution_order()
self.assertTrue(''.join(order) == 'm1m2')
def test_basic(self):
"""
m1 -> m2 -> m3 -> m4 -> m5 -> m6
"""
# add some edges to simulate links
self.g.add_edge('m1', 'm2')
self.g.add_edge('m2', 'm3')
self.g.add_edge('m3', 'm4')
self.g.add_edge('m4', 'm5')
self.g.add_edge('m5', 'm6')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m3m4m5m6')
def test_simple_tree(self):
"""
m1 -> m2
-> m3
m6 -> m5 -> m4
"""
self.g.add_edge('m1', 'm2')
self.g.add_edge('m2', 'm3')
self.g.add_edge('m6', 'm5')
self.g.add_edge('m5', 'm4')
self.g.add_edge('m4', 'm3')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m6m5m4m3')
def test_loop(self):
"""
m6 -> m5 -> m4 \
^ \
| -> m3
<- |m1| -> m2 /
"""
self.g.add_edge('m1', 'm2')
self.g.add_edge('m1', 'm6')
self.g.add_edge('m2', 'm3')
self.g.add_edge('m6', 'm5')
self.g.add_edge('m5', 'm4')
self.g.add_edge('m4', 'm3')
order = n.topological_sort(self.g)
self.assertTrue(''.join(order) == 'm1m2m6m5m4m3')
def test_bidirectional(self):
"""
m1 <-> m2 -> m3
"""
self.g.add_edge('m1', 'm2')
self.g.add_edge('m2', 'm3')
self.g.add_edge('m3', 'm2')
self.g.add_edge('m3', 'm4')
# remove any models that done have links
#for
# determine cycles
cycles = n.recursive_simple_cycles(self.g)
for cycle in cycles:
# remove edges that form cycles
self.g.remove_edge(cycle[0], cycle[1])
# perform toposort
order = n.topological_sort(self.g)
# re-add bidirectional dependencies (i.e. cycles)
for cycle in cycles:
# find index of inverse link
for i in xrange(0, len(order) - 1):
if order[i] == cycle[1] and order[i + 1] == cycle[0]:
order.insert(i + 2, cycle[1])
order.insert(i + 3, cycle[0])
break
self.assertTrue(''.join(order) == 'm1m2m3m2m3m4')
class testFeedForwardSimulation(unittest.TestCase):
def setUp(self):
# initialize environment variables
environment.getEnvironmentVars()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = sprint.DebugListener()
self.engine = Coordinator()
sprint.PrintTarget.CONSOLE = 1134
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_feedforward_simulation(self):
sprint.sPrint('test', sprint.MessageType.DEBUG)
randomizer_path = os.path.join(self.basepath, '../../app_data/models/randomizer/randomizer.mdl')
multiplier_mdl = os.path.join(self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
m1 = self.engine.add_model(id=1234, attrib={'mdl':randomizer_path})
self.assertTrue(m1)
m2 = self.engine.add_model(id=1235, attrib={'mdl':multiplier_mdl})
self.assertTrue(m2)
# assert that the models have been added correctly
models = self.engine.get_all_models()
self.assertTrue(len(models) == 2)
# add a link from randomizer to multiplier
rand_oei = self.engine.get_exchange_item_info(modelid=1234, eitype=stdlib.ExchangeItemType.OUTPUT)
mult_iei = self.engine.get_exchange_item_info(modelid=1235, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=1234, from_item_id=rand_oei[0]['name'],
to_id=1235, to_item_id=mult_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
# assert that the link has been established correctly
links = self.engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation, without saving results
self.engine.run_simulation()
status = stdlib.Status.UNDEFINED
while status != stdlib.Status.FINISHED and status != stdlib.Status.ERROR:
status = self.engine.get_status()
time.sleep(1)
# check that output data was generated
m = self.engine.get_model_by_id(id = 1235)
values = m.instance().outputs()['multipliedValue'].getValues2()
self.assertTrue(len(values) > 0)
self.assertTrue(values[0] != 0)
def test_netcdf_input(self):
engine = Coordinator()
args = dict(ncpath='./TWDEF_distributed/prcp.nc',
tdim='time',
xdim='x',
ydim='y',
tunit='hours',
starttime='10-26-2015 00:00:00',
type=wrappers.Types.NETCDF)
# add the WaterOneFlow component to the engine
engine.add_model(id=1234, attrib=args)
# load ueb component
mdl = '../ueb.mdl'
args = dict(mdl=mdl)
# config_params = parse_config(mdl)
engine.add_model(id=1235, attrib=args)
# assert that the models have been added correctly
models = engine.get_all_models()
self.assertTrue(len(models) == 2)
spatial_interpolation = space.spatial_nearest_neighbor()
# add a link from NetCDF to UEB
netcdf = engine.get_output_exchange_items_summary(id=1234)
ueb = engine.get_input_exchange_items_summary(id=1235)
engine.add_link(from_id=1234,
from_item_id=netcdf[0]['name'],
to_id=1235,
to_item_id=ueb[0]['name'],
spatial_interp=spatial_interpolation,
temporal_interp=None,
uid=None)
links = engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation
engine.run_simulation()
print 'done'
class testNetcdfSimulation(unittest.TestCase):
def setUp(self):
self.engine = Coordinator()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = DebugListener()
self.engine = Coordinator()
PrintTarget.CONSOLE = 1134
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_netcdf_feedforward(self):
nc_path = os.path.join(self.basepath, 'data/prcp.nc')
self.assertTrue(os.path.exists(nc_path))
args = dict(ncpath=nc_path,
tdim='time',
xdim='x',
ydim='y',
tunit='hours',
starttime='10-26-2015 00:00:00',
type=wrappers.Types.NETCDF)
# add the WaterOneFlow component to the engine
self.engine.add_model(id=1234, attrib=args)
# load a test component
multiplier_mdl = os.path.join(
self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
self.assertTrue(os.path.exists(multiplier_mdl),
'Path does not exist: %s' % multiplier_mdl)
args = dict(mdl=multiplier_mdl)
self.engine.add_model(id=1235, attrib=args)
# assert that the models have been added correctly
models = self.engine.get_all_models()
self.assertTrue(len(models) == 2)
# add a link from WaterOneFlow to multiplier
wof_oei = self.engine.get_exchange_item_info(
modelid=1234, eitype=stdlib.ExchangeItemType.OUTPUT)
mul_iei = self.engine.get_exchange_item_info(
modelid=1235, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=1234,
from_item_id=wof_oei[0]['name'],
to_id=1235,
to_item_id=mul_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
links = self.engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation
self.engine.run_simulation()
status = stdlib.Status.UNDEFINED
while status != stdlib.Status.FINISHED and status != stdlib.Status.ERROR:
status = self.engine.get_status()
time.sleep(1)
# check that output data was generated
m = self.engine.get_model_by_id(id=1235)
values = m.instance().outputs()['multipliedValue'].getValues2()
self.assertTrue(len(values) > 0)
self.assertTrue(values[0] != 0)
class testNetcdfSimulation(unittest.TestCase):
def setUp(self):
self.engine = Coordinator()
if sys.gettrace():
print 'Detected Debug Mode'
# initialize debug listener (reroute messages to console)
self.d = DebugListener()
self.engine = Coordinator()
PrintTarget.CONSOLE = 1134
self.basepath = os.path.dirname(__file__)
def tearDown(self):
pass
def test_netcdf_feedforward(self):
nc_path = os.path.join(self.basepath, 'data/prcp.nc')
self.assertTrue(os.path.exists(nc_path))
args = dict(ncpath = nc_path,
tdim = 'time',
xdim = 'x',
ydim = 'y',
tunit = 'hours',
starttime = '10-26-2015 00:00:00',
type = wrappers.Types.NETCDF)
# add the WaterOneFlow component to the engine
self.engine.add_model(id=1234, attrib=args)
# load a test component
multiplier_mdl = os.path.join(self.basepath, '../../app_data/models/multiplier/multiplier.mdl')
self.assertTrue(os.path.exists(multiplier_mdl), 'Path does not exist: %s'%multiplier_mdl)
args = dict(mdl=multiplier_mdl)
self.engine.add_model(id=1235, attrib=args)
# assert that the models have been added correctly
models = self.engine.get_all_models()
self.assertTrue(len(models) == 2)
# add a link from WaterOneFlow to multiplier
wof_oei = self.engine.get_exchange_item_info(modelid=1234, eitype=stdlib.ExchangeItemType.OUTPUT)
mul_iei = self.engine.get_exchange_item_info(modelid=1235, eitype=stdlib.ExchangeItemType.INPUT)
self.engine.add_link(from_id=1234, from_item_id=wof_oei[0]['name'],
to_id=1235, to_item_id=mul_iei[0]['name'],
spatial_interp=None,
temporal_interp=None,
uid=None)
links = self.engine.get_all_links()
self.assertTrue(len(links) == 1)
# run the simulation
self.engine.run_simulation()
status = stdlib.Status.UNDEFINED
while status != stdlib.Status.FINISHED and status != stdlib.Status.ERROR:
status = self.engine.get_status()
time.sleep(1)
# check that output data was generated
m = self.engine.get_model_by_id(id = 1235)
values = m.instance().outputs()['multipliedValue'].getValues2()
self.assertTrue(len(values) > 0)
self.assertTrue(values[0] != 0)
