def test_create_project_param(qtbot):
""" Create a single Project parameter.
Does not user the overarching application due to mouseClick failing
"""
assert bw.projects.current == "pytest_project"
assert ProjectParameter.select().count() == 0
project_db_tab = ParameterDefinitionTab()
qtbot.addWidget(project_db_tab)
project_db_tab.build_tables()
table = project_db_tab.project_table
signal_list = [
signals.parameters_changed, signals.parameters_changed,
signals.parameters_changed
]
with qtbot.waitSignals(signal_list, timeout=1000):
qtbot.mouseClick(project_db_tab.new_project_param, QtCore.Qt.LeftButton)
qtbot.mouseClick(project_db_tab.new_project_param, QtCore.Qt.LeftButton)
qtbot.mouseClick(project_db_tab.new_project_param, QtCore.Qt.LeftButton)
assert table.rowCount() == 3
# New parameter is named 'param_1'
assert table.model.index(0, 0).data() == "param_1"
assert ProjectParameter.select().count() == 3
assert ProjectParameter.get_or_none(name="param_1") is not None
def test_edit_project_param(qtbot, monkeypatch):
""" Edit the existing parameter to have new values.
"""
table = ProjectParameterTable()
qtbot.addWidget(table)
table.model.sync()
# Edit both the name and the amount of the first parameter.
monkeypatch.setattr(
QtWidgets.QInputDialog, "getText",
staticmethod(lambda *args, **kwargs: ("test_project", True)))
table.model.handle_parameter_rename(table.proxy_model.index(0, 0))
table.model.setData(table.model.index(0, 1), 2.5)
# Check that parameter is correctly stored in brightway.
assert ProjectParameter.get(name="test_project").amount == 2.5
# Now edit the formula directly (without delegate)
with qtbot.waitSignal(signals.parameters_changed, timeout=1000):
table.model.setData(table.model.index(0, 2), "2 + 3")
assert ProjectParameter.get(name="test_project").amount == 5
# Now edit the formula of the 3rd param to use the 2nd param
with qtbot.waitSignal(signals.parameters_changed, timeout=1000):
table.model.setData(table.model.index(2, 2), "param_2 + 3")
assert ProjectParameter.get(name="param_3").amount == 4
def resetParams(db_name):
"""Reset project and activity parameters"""
_param_registry().clear()
ProjectParameter.delete().execute()
ActivityParameter.delete().execute()
DatabaseParameter.delete().execute()
Group.delete().execute()
def test_update_alter_mean(qtbot, monkeypatch, ab_app):
param = ProjectParameter.create(name="uc2", amount=1)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
# Select the lognormal distribution and set 'loc' and 'scale' fields.
wizard.type.distribution.setCurrentIndex(LognormalUncertainty.id)
wizard.type.loc.setText("1")
wizard.type.scale.setText("0.3")
wizard.type.generate_plot()
assert wizard.type.complete
# Now, monkeypatch Qt to ensure a 'yes' is selected for updating.
monkeypatch.setattr(QMessageBox, "question",
staticmethod(lambda *args: QMessageBox.Yes))
# Now trigger a 'finish' action
with qtbot.waitSignal(signals.parameters_changed, timeout=100):
wizard.button(QWizard.FinishButton).click()
# Reload param and check that the amount is changed.
param = ProjectParameter.get(name="uc2")
assert "loc" in param.data and param.amount != 1
loc = param.data["loc"]
assert loc == 1
assert np.isclose(np.log(param.amount), loc)
def test_create_project_param(qtbot):
""" Create a single Project parameter.
Does not user the overarching application due to mouseClick failing
"""
assert bw.projects.current == "pytest_project"
assert ProjectParameter.select().count() == 0
project_db_tab = ParameterDefinitionTab()
qtbot.addWidget(project_db_tab)
project_db_tab.build_tables()
table = project_db_tab.project_table
bw.parameters.new_project_parameters([
{
"name": "param_1",
"amount": 1.0
},
{
"name": "param_2",
"amount": 1.0
},
{
"name": "param_3",
"amount": 1.0
},
])
table.model.sync()
assert table.rowCount() == 3
# New parameter is named 'param_1'
assert table.model.index(0, 0).data() == "param_1"
assert ProjectParameter.select().count() == 3
assert ProjectParameter.select().where(
ProjectParameter.name == "param_1").exists()
def test_append_package():
ProjectParameter.create(
name="p1",
amount=1,
)
ProjectParameter.create(
name="p2",
amount=1,
)
parameters.recalculate()
pbm = ParameterizedBrightwayModel("project")
pbm.load_parameter_data()
pbm.calculate_static()
for obj in pbm.data.values():
obj['amount'] = 10
_, dirpath = pbm.save_presample('project-test')
pp = PresamplesPackage(dirpath)
assert len(pp) == 1
assert pp.parameters['project__p1'] == 10
Database("db").register()
Group.create(name="D", order=[])
DatabaseParameter.create(
database="db",
name="db1",
formula="2 * p1",
amount=2,
)
DatabaseParameter.create(
database="db",
name="db2",
amount=2,
)
ActivityParameter.create(
group="D",
database="db",
code="D1",
name="d1",
formula="p1 + db1",
amount=3,
)
parameters.recalculate()
pbm = ParameterizedBrightwayModel("D")
pbm.load_existing(dirpath)
expected = {'project__p1': 10, 'project__p2': 10}
assert pbm.global_params == expected
pbm.load_parameter_data()
pbm.data = {'D__d1': pbm.data['D__d1']}
pbm.data['D__d1']['amount'] = 12
_, dp = pbm.append_presample(dirpath, 'D-test')
assert dp == dirpath
pp = PresamplesPackage(dirpath)
assert len(pp) == 2
assert pp.parameters['D__d1'] == 12
assert pp.parameters['project__p1'] == 10
def test_calculate_stochastic():
Database("db").register()
ProjectParameter.create(
name="p1",
amount=1,
)
ProjectParameter.create(
name="p2",
amount=1,
)
parameters.recalculate()
pbm = ParameterizedBrightwayModel("project")
pbm.load_parameter_data()
pbm.data['project__p1']['amount'] = np.ones(10) + 100
pbm.data['project__p2']['amount'] = np.ones(10) + 10
_, dirpath_project = pbm.save_presample('project-test')
pp = PresamplesPackage(dirpath_project)
assert len(pp) == 1
assert np.allclose(pp.parameters['project__p1'], np.ones(10) + 100)
# Create rest of parameters
Group.create(name="E", order=[])
ActivityParameter.create(
group="E",
database="db",
code="E1",
name="e1",
formula="p1 + p2 + e2",
amount=4,
)
ActivityParameter.create(group="E",
database="db",
code="E2",
name="e2",
amount=1,
data={
'uncertainty type': 4,
'minimum': 1000,
'maximum': 1100
})
parameters.recalculate()
pbm = ParameterizedBrightwayModel("E")
pbm.load_existing(dirpath_project)
pbm.load_parameter_data()
result = pbm.calculate_stochastic(10)
assert np.allclose(result['project__p1'], [101] * 10)
assert np.allclose(result['project__p2'], [11] * 10)
assert all(result['E__e2'] >= 1000)
assert all(result['E__e2'] <= 1100)
assert np.allclose(result['E__e1'], result['E__e2'] + 101 + 11)
def resetParams(db_name=None):
"""Clear parameters in live memory (registry) and on disk.
Clear either all params (project and all db params) or db params from a single database (if db_name provided)"""
_param_registry().clear(db_name)
if db_name is None:
ProjectParameter.delete().execute()
ActivityParameter.delete().execute()
DatabaseParameter.delete().execute()
else:
ActivityParameter.delete().where(
ActivityParameter.database == db_name).execute()
DatabaseParameter.delete().where(
DatabaseParameter.database == db_name).execute()
Group.delete().execute()
def test_graph_rebuild(qtbot, bw2test):
"""Test that the graph is correctly built and rebuilt, ensure
that the 'finish' button is enabled and disabled at the correct
times.
"""
param = ProjectParameter.create(name="test1", amount=3)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
# Check that the graph exists and distribution is 'unknown'
assert wizard.type.plot.isVisible()
assert wizard.type.distribution.currentIndex() == UndefinedUncertainty.id
assert wizard.button(QWizard.FinishButton).isEnabled()
# Select an uncertainty distribution, fill out numbers.
with qtbot.waitSignal(wizard.type.distribution.currentIndexChanged,
timeout=100):
wizard.type.distribution.setCurrentIndex(UniformUncertainty.id)
assert not wizard.type.complete # Missing values for valid uncertainty.
assert not wizard.button(QWizard.FinishButton).isEnabled()
# When programmatically changing values, no textEdited signal is emitted.
with qtbot.assertNotEmitted(wizard.type.minimum.textEdited):
wizard.type.minimum.setText("1")
wizard.type.generate_plot()
assert not wizard.type.complete # Still missing 'maximum'
assert not wizard.button(QWizard.FinishButton).isEnabled()
with qtbot.assertNotEmitted(wizard.type.minimum.textEdited):
wizard.type.maximum.setText("5")
wizard.type.generate_plot()
assert wizard.type.complete
assert wizard.button(QWizard.FinishButton).isEnabled()
def test_lognormal_mean_balance(qtbot, bw2test):
uncertain = {
"loc": 2,
"scale": 0.2,
"uncertainty type": 2,
}
param = ProjectParameter.create(name="uc1", amount=3, data=uncertain)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
# Compare loc with mean,
loc, mean = float(wizard.type.loc.text()), float(wizard.type.mean.text())
assert np.isclose(np.exp(loc), mean)
wizard.type.check_negative()
assert not wizard.field("negative")
# Alter mean and loc fields in turn to show balancing methods
with qtbot.assertNotEmitted(wizard.type.mean.textEdited):
wizard.type.mean.setText("")
wizard.type.balance_loc_with_mean()
wizard.type.check_negative()
assert wizard.type.loc.text() == "nan"
# Setting the mean to a negative number will still return the same loc
# value, but it will alter the 'negative' field.
with qtbot.assertNotEmitted(wizard.type.mean.textEdited):
wizard.type.mean.setText("-5")
wizard.type.balance_loc_with_mean()
wizard.type.check_negative()
assert np.isclose(np.exp(float(wizard.type.loc.text())), 5)
assert wizard.field("negative")
def get_usable_parameters(self):
""" Use the `key` set for the table to determine the database and
group of the activity, using that information to constrain the usable
parameters.
"""
project = ([k, v, "project"]
for k, v in ProjectParameter.static().items())
if self.key is None:
return project
database = ([k, v, "database"]
for k, v in DatabaseParameter.static(self.key[0]).items())
# Determine if the activity is already part of a parameter group.
query = (Group.select().join(
ActivityParameter,
on=(Group.name == ActivityParameter.group)).where(
ActivityParameter.database == self.key[0],
ActivityParameter.code == self.key[1]).distinct())
if query.exists():
group = query.get()
# First, build a list for parameters in the same group
activity = ([p.name, p.amount, "activity"]
for p in ActivityParameter.select().where(
ActivityParameter.group == group.name))
# Then extend the list with parameters from groups in the `order`
# field
additions = ([p.name, p.amount, "activity"]
for p in ActivityParameter.select().where(
ActivityParameter.group << group.order))
activity = itertools.chain(activity, additions)
else:
activity = []
return itertools.chain(project, database, activity)
def process_brightway_parameters() -> Iterable[tuple]:
""" Converts brightway parameters of all types into a simple structure
in order of possible dependency.
"""
return itertools.chain(
((p.name, "project", p.amount) for p in ProjectParameter.select()),
((p.name, p.database, p.amount) for p in DatabaseParameter.select()),
((p.name, p.group, p.amount) for p in ActivityParameter.select()))
def build_df(cls):
""" Build a dataframe using the ProjectParameters set in brightway
"""
data = [
cls.parse_parameter(p) for p in ProjectParameter.select()
]
df = pd.DataFrame(data, columns=cls.combine_columns())
return df
def __init__(self, seed: Optional[int] = None):
super().__init__()
parameters = itertools.chain(ProjectParameter.select(),
DatabaseParameter.select(),
ActivityParameter.select())
self.uncertainties = UncertaintyBase.from_dicts(
*[getattr(p, "data", {}) for p in parameters])
self.mc_generator = MCRandomNumberGenerator(self.uncertainties,
seed=seed)
def from_bw_parameters(cls) -> 'Parameters':
"""Construct a Parameters list from brightway2 parameters."""
return cls(chain(
(Parameter(p.name, "project", p.amount, "project")
for p in ProjectParameter.select()),
(Parameter(p.name, p.database, p.amount, "database")
for p in DatabaseParameter.select()),
(Parameter(p.name, p.group, p.amount, "activity")
for p in ActivityParameter.select()),
))
def test_update_uncertainty(qtbot, ab_app):
"""Using the signal/controller setup, update the uncertainty of a parameter"""
param = ProjectParameter.create(name="uc1", amount=3)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
wizard.type.distribution.setCurrentIndex(TriangularUncertainty.id)
wizard.type.minimum.setText("1")
wizard.type.maximum.setText("5")
wizard.type.generate_plot()
assert wizard.type.complete
# Now trigger a 'finish' action
with qtbot.waitSignal(signals.parameters_changed, timeout=100):
wizard.button(QWizard.FinishButton).click()
# Reload param
param = ProjectParameter.get(name="uc1")
assert "loc" in param.data and param.data["loc"] == 3
def sync(self, *args, **kwargs) -> None:
self.beginResetModel()
self.root.clear()
self.endResetModel()
self._data.update({
"project": ProjectParameter.select().iterator(),
"database": DatabaseParameter.select().iterator(),
"activity": ActivityParameter.select().iterator(),
})
self.setup_model_data()
self.updated.emit()
def recalculate_project_parameters(self) -> Optional[dict]:
new_values = self.get_altered_values("project")
data = ProjectParameter.load()
if not data:
return
for name, amount in new_values.items():
data[name]["amount"] = amount
ParameterSet(data).evaluate_and_set_amount_field()
return self._prune_result_data(data)
def add_parameter(self) -> None:
""" Build a new parameter and immediately store it.
"""
counter = (ProjectParameter.select().count() +
DatabaseParameter.select().count())
try:
bw.parameters.new_project_parameters([
{"name": "param_{}".format(counter + 1), "amount": 1.0}
], False)
signals.parameters_changed.emit()
except ValueError as e:
simple_warning_box(self, "Name already in use!", str(e))
def write_project_parameters(self, data=None, delete_existing=True):
"""Write global parameters to ``ProjectParameter`` database table.
``delete_existing`` controls whether new parameters will delete_existing existing parameters, or just update values. The ``name`` field is used to determine if a parameter exists.
``data`` should be a list of dictionaries (``self.project_parameters`` is used by default):
.. code-block:: python
[{
'name': name of variable (unique),
'amount': numeric value of variable (optional),
'formula': formula in Python as string (optional),
optional keys like uncertainty, etc. (no limitations)
}]
"""
if (data or self.project_parameters) is None:
return
if delete_existing:
ProjectParameter.delete().execute()
parameters.new_project_parameters(data or self.project_parameters)
def test_edit_project_param(qtbot):
""" Edit the existing parameter to have new values.
"""
table = ProjectParameterTable()
qtbot.addWidget(table)
table.sync(table.build_df())
# Edit both the name and the amount of the first parameter.
table.rename_parameter(table.proxy_model.index(0, 0), "test_project")
table.model.setData(table.model.index(0, 1), 2.5)
# Check that parameter is correctly stored in brightway.
assert ProjectParameter.get(name="test_project").amount == 2.5
# Now edit the formula directly (without delegate)
with qtbot.waitSignal(signals.parameters_changed, timeout=1000):
table.model.setData(table.model.index(0, 2), "2 + 3")
assert ProjectParameter.get(name="test_project").amount == 5
# Now edit the formula of the 3rd param to use the 2nd param
with qtbot.waitSignal(signals.parameters_changed, timeout=1000):
table.model.setData(table.model.index(2, 2), "param_2 + 3")
assert ProjectParameter.get(name="param_3").amount == 4
def test_pedigree(qtbot, bw2test):
"""Configure uncertainty using the pedigree page of the wizard."""
uncertain = {
"loc": 2,
"scale": 0.2,
"uncertainty type": 2,
"pedigree": {
"reliability": 1,
"completeness": 2,
"temporal correlation": 2,
"geographical correlation": 2,
"further technological correlation": 3
},
}
param = ProjectParameter.create(name="uc1", amount=3, data=uncertain)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
# Uncertainty data has pedigree in it.
assert "pedigree" in wizard.obj.uncertainty
# Go to the pedigree page
with qtbot.waitSignal(wizard.currentIdChanged, timeout=100):
wizard.type.pedigree.click()
assert wizard.using_pedigree # Uncertainty/Pedigree data is valid
loc, mean = float(wizard.pedigree.loc.text()), float(
wizard.pedigree.mean.text())
assert np.isclose(np.exp(loc), mean)
# The uncertainty should be positive
assert not wizard.field("negative")
wizard.pedigree.check_negative()
assert not wizard.field("negative")
# Alter mean and loc fields in turn to show balancing methods
with qtbot.assertNotEmitted(wizard.pedigree.mean.textEdited):
wizard.pedigree.mean.setText("")
wizard.pedigree.balance_loc_with_mean()
wizard.pedigree.check_negative()
assert wizard.pedigree.loc.text() == "nan"
# Setting the mean to a negative number will still return the same loc
# value, but it will alter the 'negative' field.
with qtbot.assertNotEmitted(wizard.pedigree.mean.textEdited):
wizard.pedigree.mean.setText("-5")
wizard.pedigree.balance_loc_with_mean()
wizard.pedigree.check_negative()
assert np.isclose(np.exp(float(wizard.pedigree.loc.text())), 5)
assert wizard.field("negative")
def add_parameter(self) -> None:
""" Add a new database parameter to the dataframe
NOTE: The new parameter uses the first database it can find.
"""
counter = (ProjectParameter.select().count() +
DatabaseParameter.select().count())
database = next(iter(bw.databases))
try:
bw.parameters.new_database_parameters([
{"name": "param_{}".format(counter + 1), "amount": 1.0}
], database, False)
signals.parameters_changed.emit()
except ValueError as e:
simple_warning_box(self, "Name already in use!", str(e))
def get_interpreter(self) -> Interpreter:
""" Use the activity key to determine which symbols are added
to the formula interpreter.
"""
interpreter = Interpreter()
act = ActivityParameter.get_or_none(database=self.key[0],
code=self.key[1])
if act:
interpreter.symtable.update(
ActivityParameter.static(act.group, full=True))
else:
print("No parameter found for {}, creating one on formula save".
format(self.key))
interpreter.symtable.update(ProjectParameter.static())
interpreter.symtable.update(DatabaseParameter.static(self.key[0]))
return interpreter
def __init__(self):
self._project_params = ProjectParameter.load()
self._db_params = {
p.database: DatabaseParameter.load(p.database)
for p in DatabaseParameter.select(DatabaseParameter.database).distinct()
}
self._act_params = {
p.group: ActivityParameter.load(p.group)
for p in ActivityParameter.select(ActivityParameter.group).distinct()
}
self._distinct_act_params = [
p for p in (ActivityParameter
.select(ActivityParameter.group, ActivityParameter.database)
.distinct())
]
self._exc_params = [p for p in ParameterizedExchange.select()]
def export_db(db_name, filename) :
"""Export Db and linked parameters"""
db = bw.Database(db_name)
db_params = DatabaseParameter.select().where(DatabaseParameter.database == db_name)
# Export Db params
db.metadata["database_parameters"] = [param_data(param) for param in db_params]
# List of all project params used in this dataset
used_project_params = list(param.name for param in _listParams(db_name) if param.dbname is None)
if len(used_project_params) > 0 :
error('Warning : this DB uses project parameters that are exported as well and might override project params at import time : ', used_project_params)
proj_params = list(ProjectParameter.get(ProjectParameter.name==name) for name in used_project_params)
db.metadata["project_parameters"] = [param_data(param) for param in proj_params]
BW2Package._write_file(filename, [BW2Package._prepare_obj(db, False)])
def test_uncertainty_wizard_simple(qtbot, bw2test, capsys):
"""Use extremely simple text to open the wizard and go to all the pages."""
param = ProjectParameter.create(name="test1", amount=3)
wizard = UncertaintyWizard(param, None)
qtbot.addWidget(wizard)
wizard.show()
assert "uncertainty type" in wizard.uncertainty_info
wizard.extract_uncertainty()
wizard.extract_lognormal_loc()
# Go to the pedigree page
with qtbot.waitSignal(wizard.currentIdChanged, timeout=100):
wizard.type.pedigree.click()
# Pedigree is empty, so complaint is issued.
captured = capsys.readouterr()
assert "Could not extract pedigree data" in captured.out
# Now go back for giggles.
with qtbot.waitSignal(wizard.currentIdChanged, timeout=100):
wizard.button(QWizard.BackButton).click()
assert not wizard.using_pedigree
def sync(self) -> None:
self.data.update({
"project": ProjectParameter.select().iterator(),
"database": DatabaseParameter.select().iterator(),
"activity": ActivityParameter.select().iterator(),
})
def get_interpreter() -> Interpreter:
interpreter = Interpreter()
interpreter.symtable.update(ProjectParameter.static())
return interpreter
def get_usable_parameters():
return ([k, v, "project"]
for k, v in ProjectParameter.static().items())