def test_data_list_to_array(self):
data = [{
'year': 2010,
'value': 3,
'region': 'oxford',
'interval': 1
}, {
'year': 2011,
'value': 5,
'region': 'oxford',
'interval': 1
}, {
'year': 2012,
'value': 1,
'region': 'oxford',
'interval': 1
}]
builder = SosModelBuilder()
spatial = builder.region_register.get_entry('LSOA')
temporal = builder.interval_register.get_entry('annual')
actual = builder._data_list_to_array('raininess', data,
[2010, 2011, 2012], spatial,
temporal)
expected = np.array([[[3.]], [[5.]], [[1.]]], dtype=float)
np.testing.assert_equal(actual, expected)
def test_scenario_data_missing_param_interval(
self,
setup_region_data,
):
data = {
"length": [{
'value': 3.14,
'region': 'oxford',
'interval': 1,
'year': 2015
}, {
'value': 3.14,
'region': 'oxford',
'interval': 'extra',
'year': 2015
}]
}
builder = SosModelBuilder()
msg = "Interval 'extra' not defined in set 'annual' for parameter 'length'"
with raises(ValueError) as ex:
builder.load_scenario_models([{
'name': 'length',
'spatial_resolution': 'LSOA',
'temporal_resolution': 'annual',
'units': 'm'
}], data, [2015])
assert msg in str(ex)
def test_cyclic_dependencies(self,
get_sos_model_config_with_summed_dependency):
config_data = get_sos_model_config_with_summed_dependency
builder = SosModelBuilder()
with raises(NotImplementedError):
builder.construct(config_data)
def test_set_max_iterations(self, get_sos_model_config):
"""Test constructing from single dict config
"""
config = get_sos_model_config
config['max_iterations'] = 125
builder = SosModelBuilder()
builder.construct(config)
sos_model = builder.finish()
assert sos_model.max_iterations == 125
def test_set_convergence_relative_tolerance(self, get_sos_model_config):
"""Test constructing from single dict config
"""
config = get_sos_model_config
config['convergence_relative_tolerance'] = 0.1
builder = SosModelBuilder()
builder.construct(config)
sos_model = builder.finish()
assert sos_model.convergence_relative_tolerance == 0.1
def test_set_convergence_absolute_tolerance(self, get_sos_model_config):
"""Test constructing from single dict config
"""
config = get_sos_model_config
config['convergence_absolute_tolerance'] = 0.0001
builder = SosModelBuilder()
builder.construct(config, [2010, 2011, 2012])
sos_model = builder.finish()
assert sos_model.convergence_absolute_tolerance == 0.0001
def test_load_scenario_models(self, get_sos_model_config):
config = get_sos_model_config
builder = SosModelBuilder()
builder.construct(config, [2010])
sos_model = builder.finish()
scenario = sos_model.models['raininess']
expected = {'raininess': {'raininess': np.array([[3.]])}}
assert scenario.simulate(2010) == expected
def test_construct(self, get_sos_model_config):
"""Test constructing from single dict config
"""
config = get_sos_model_config
builder = SosModelBuilder()
builder.construct(config)
sos_model = builder.finish()
assert isinstance(sos_model, SosModel)
assert list(sos_model.sector_models.keys()) == ['water_supply']
assert isinstance(sos_model.models['water_supply'], SectorModel)
def test_builder_interventions(self, get_sos_model_config):
builder = SosModelBuilder()
config_data = get_sos_model_config
builder.construct(config_data, config_data['timesteps'])
sos_model = builder.finish()
assert sos_model.sector_models == ['water_supply']
assert sos_model.intervention_names == [
"water_asset_a", "water_asset_b", "water_asset_c"
]
def test_scenario_data_missing_param_mapping(self):
data = {"length": [{'value': 3.14, 'year': 2015}]}
builder = SosModelBuilder()
msg = "Parameter 'bla_length' in scenario definitions not registered in scenario data"
with raises(ValueError) as ex:
builder.load_scenario_models([{
'name': 'bla_length',
'spatial_resolution': 'LSOA',
'temporal_resolution': 'annual',
'units': 'm'
}], data, [2015])
assert msg in str(ex.value)
def get_sos_model_with_summed_dependency(setup_region_data):
builder = SosModelBuilder()
builder.load_scenario_models(
[{
'name': 'raininess',
'temporal_resolution': 'annual',
'spatial_resolution': 'LSOA',
'units': 'ml'
}], {
"raininess": [{
'year': 2010,
'value': 3,
'region': 'oxford',
'interval': 1
}]
}, [2010, 2011, 2012])
sos_model = builder.finish()
region_register = sos_model.regions
interval_register = sos_model.intervals
raininess_model = sos_model.models['raininess']
ws = WaterSupplySectorModel('water_supply')
ws.add_input('raininess', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'ml')
ws.add_output('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
ws.add_dependency(raininess_model, 'raininess', 'raininess')
sos_model.add_model(ws)
ws2 = WaterSupplySectorModel('water_supply_2')
ws2.add_input('raininess', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'ml')
ws2.add_output('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
ws2.add_dependency(raininess_model, 'raininess', 'raininess')
sos_model.add_model(ws2)
ws3 = WaterSupplySectorModel('water_supply_3')
ws3.add_input('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
# TODO implement summed dependency
# ws3.add_dependency(ws, 'water', 'water')
ws3.add_dependency(ws2, 'water', 'water')
sos_model.add_model(ws3)
return sos_model
def test_scenarios(self, get_sos_model_config):
"""Test constructing from single dict config
"""
config = get_sos_model_config
builder = SosModelBuilder()
builder.construct(config, [2010, 2011, 2012])
sos_model = builder.finish()
assert isinstance(sos_model, SosModel)
assert sos_model.sector_models == ['water_supply']
assert isinstance(sos_model.models['water_supply'], SectorModel)
assert isinstance(sos_model.models['raininess'], ScenarioModel)
actual = sos_model.models['raininess']._data
np.testing.assert_equal(
actual, np.array([[[3.]], [[5.]], [[1.]]], dtype=float))
def test_scenario_data_missing_year(
self,
setup_region_data,
):
data = {"length": [{'value': 3.14}]}
builder = SosModelBuilder()
msg = "Scenario data item missing year"
with raises(ValueError) as ex:
builder.load_scenario_models([{
'name': 'length',
'spatial_resolution': 'LSOA',
'temporal_resolution': 'annual',
'units': 'm'
}], data, [2015])
assert msg in str(ex.value)
def test_scenario_data_defaults(self, setup_region_data):
data = {
"length": [{
'year': 2015,
'interval': 1,
'value': 3.14,
'region': 'oxford'
}]
}
expected = np.array([[[3.14]]])
builder = SosModelBuilder()
builder.load_scenario_models([{
'name': 'length',
'spatial_resolution': 'LSOA',
'temporal_resolution': 'annual',
'units': 'm'
}], data, [2015])
assert builder.sos_model.models['length']._data == expected
def test_simple_dependency(self, get_sos_model_config_with_dep):
config_data = get_sos_model_config_with_dep
builder = SosModelBuilder()
builder.construct(config_data, config_data['timesteps'])
sos_model = builder.finish()
sos_model.check_dependencies()
graph = sos_model.dependency_graph
scenario = sos_model.models['raininess']
assert 'water_supply' in sos_model.models
assert sos_model.models['water_supply'] in graph.nodes()
deps = sos_model.models['water_supply'].deps
assert 'raininess' in deps.keys()
expected = Dependency(scenario, scenario.model_outputs['raininess'])
assert deps['raininess'] == expected
assert 'raininess' in sos_model.models
assert sos_model.models['raininess'] in graph.nodes()
def get_sos_model_with_summed_dependency(oxford_region):
scenario_model = get_scenario_model_object
builder = SosModelBuilder()
builder.load_scenario_models([scenario_model])
sos_model = builder.finish()
region_register = sos_model.regions
interval_register = sos_model.intervals
raininess_model = sos_model.models['raininess']
ws = WaterSupplySectorModel('water_supply')
ws.add_input('raininess', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'ml')
ws.add_output('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
ws.add_dependency(raininess_model, 'raininess', 'raininess')
sos_model.add_model(ws)
ws2 = WaterSupplySectorModel('water_supply_2')
ws2.add_input('raininess', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'ml')
ws2.add_output('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
ws2.add_dependency(raininess_model, 'raininess', 'raininess')
sos_model.add_model(ws2)
ws3 = WaterSupplySectorModel('water_supply_3')
ws3.add_input('water', region_register.get_entry('LSOA'),
interval_register.get_entry('annual'), 'Ml')
# TODO implement summed dependency
# ws3.add_dependency(ws, 'water', 'water')
ws3.add_dependency(ws2, 'water', 'water')
sos_model.add_model(ws3)
return sos_model
def test_missing_planning_asset(self, get_sos_model_config):
config = get_sos_model_config
config["planning"] = [{
"name": "test_intervention",
"build_date": 2012
}]
builder = SosModelBuilder()
builder.construct(config, [2010, 2011, 2012])
with raises(AssertionError) as ex:
builder.finish()
assert "Intervention 'test_intervention' in planning file not found" in str(
ex.value)
def test_scenario_dependency(self, get_sos_model_config,
setup_region_data):
"""Expect successful build with dependency on scenario data
Should raise error if no spatial or temporal sets are defined
"""
config = get_sos_model_config
config["sector_model_data"][0]["inputs"] = [{
'name': 'raininess',
'spatial_resolution': 'blobby',
'temporal_resolution': 'annual',
'units': 'ml'
}]
builder = SosModelBuilder()
with raises(ValueError):
builder.construct(config, [2010, 2011, 2012])
builder.region_register.register(
RegionSet('blobby', setup_region_data['features']))
interval_data = [{'id': 'ultra', 'start': 'P0Y', 'end': 'P1Y'}]
builder.interval_register.register(IntervalSet('mega', interval_data))
builder.construct(config, [2010, 2011, 2012])
def test_nest_scenario_data(self, setup_country_data):
data = {
"mass": [{
'year': 2015,
'region': 'GB',
'interval': 'wet_season',
'value': 3
}, {
'year': 2015,
'region': 'GB',
'interval': 'dry_season',
'value': 5
}, {
'year': 2015,
'region': 'NI',
'interval': 'wet_season',
'value': 1
}, {
'year': 2015,
'region': 'NI',
'interval': 'dry_season',
'value': 2
}, {
'year': 2016,
'region': 'GB',
'interval': 'wet_season',
'value': 4
}, {
'year': 2016,
'region': 'GB',
'interval': 'dry_season',
'value': 6
}, {
'year': 2016,
'region': 'NI',
'interval': 'wet_season',
'value': 1
}, {
'year': 2016,
'region': 'NI',
'interval': 'dry_season',
'value': 2.5
}]
}
expected = np.array(
[
# 2015
[
# GB
[3, 5],
# NI
[1, 2]
],
# 2016
[
# GB
[4, 6],
# NI
[1, 2.5]
]
],
dtype=float)
builder = SosModelBuilder()
interval_data = [
{
'id': 'wet_season',
'start': 'P0M',
'end': 'P5M'
},
{
'id': 'dry_season',
'start': 'P5M',
'end': 'P10M'
},
{
'id': 'wet_season',
'start': 'P10M',
'end': 'P1Y'
},
]
builder.interval_register.register(
IntervalSet('seasonal', interval_data))
builder.region_register.register(
RegionSet('country', setup_country_data['features']))
builder.load_scenario_models([{
'name': 'mass',
'spatial_resolution': 'country',
'temporal_resolution': 'seasonal',
'units': 'kg'
}], data, [2015, 2016])
actual = builder.sos_model.models['mass']._data
print(actual)
print(expected)
assert np.allclose(actual, expected)
def get_model_run_definition(args):
"""Builds the model run
Returns
-------
dict
The complete sos_model_run configuration dictionary with contained
ScenarioModel, SosModel and SectorModel objects
"""
handler = DatafileInterface(args.directory)
load_region_sets(handler)
load_interval_sets(handler)
load_units(handler)
try:
model_run_config = handler.read_sos_model_run(args.modelrun)
except DataNotFoundError:
LOGGER.error("Model run %s not found. Run 'smif list' to see available model runs.",
args.modelrun)
exit(-1)
LOGGER.info("Running %s", model_run_config['name'])
LOGGER.debug("Model Run: %s", model_run_config)
sos_model_config = handler.read_sos_model(model_run_config['sos_model'])
sector_model_objects = []
for sector_model in sos_model_config['sector_models']:
sector_model_config = handler.read_sector_model(sector_model)
absolute_path = os.path.join(args.directory,
sector_model_config['path'])
sector_model_config['path'] = absolute_path
intervention_files = sector_model_config['interventions']
intervention_list = []
for intervention_file in intervention_files:
interventions = handler.read_interventions(intervention_file)
intervention_list.extend(interventions)
sector_model_config['interventions'] = intervention_list
initial_condition_files = sector_model_config['initial_conditions']
initial_condition_list = []
for initial_condition_file in initial_condition_files:
initial_conditions = handler.read_initial_conditions(initial_condition_file)
initial_condition_list.extend(initial_conditions)
sector_model_config['initial_conditions'] = initial_condition_list
sector_model_builder = SectorModelBuilder(sector_model_config['name'])
LOGGER.debug("Sector model config: %s", sector_model_config)
sector_model_builder.construct(sector_model_config,
model_run_config['timesteps'])
sector_model_object = sector_model_builder.finish()
sector_model_objects.append(sector_model_object)
LOGGER.debug("Model inputs: %s", sector_model_object.inputs.names)
LOGGER.debug("Sector models: %s", sector_model_objects)
sos_model_config['sector_models'] = sector_model_objects
scenario_objects = []
for scenario_set, scenario_name in model_run_config['scenarios'].items():
scenario_definition = handler.read_scenario_definition(scenario_name)
LOGGER.debug("Scenario definition: %s", scenario_definition)
scenario_model_builder = ScenarioModelBuilder(scenario_set)
scenario_model_builder.construct(scenario_definition)
scenario_objects.append(scenario_model_builder.finish())
LOGGER.debug("Scenario models: %s", [model.name for model in scenario_objects])
sos_model_config['scenario_sets'] = scenario_objects
sos_model_builder = SosModelBuilder()
sos_model_builder.construct(sos_model_config)
sos_model_object = sos_model_builder.finish()
LOGGER.debug("Model list: %s", list(sos_model_object.models.keys()))
model_run_config['sos_model'] = sos_model_object
narrative_objects = get_narratives(handler,
model_run_config['narratives'])
model_run_config['narratives'] = narrative_objects
return model_run_config
def _add_sos_model(self, config_data):
"""
"""
builder = SosModelBuilder()
builder.construct(config_data, self.model_run.model_horizon)
self.model_run.sos_model = builder.finish()
