def test_constructor(self):
"""Runs class constructor checks."""
# name and set of parameters are mandatory, even if they're invalid
self.assertRaises(Exception, DsgToolsProcessingModel)
self.assertRaises(Exception, DsgToolsProcessingModel, parameters={})
self.assertRaises(Exception, DsgToolsProcessingModel, name="")
model = DsgToolsProcessingModel({}, "Invalid model")
self.assertFalse(model.isValid())
self.assertEquals(model.name(), "Invalid model")
def hasInvalidModel(self):
"""
Checks if any of the nested models is invalid.
:return: (bool) if there are invalid models.
"""
models = dict()
for modelName, modelParam in self._param["models"].items():
model = DsgToolsProcessingModel(modelParam, modelName)
if not model.isValid():
return True
return False
def invalidModels(self):
"""
Returns all valid models from workflow parameters.
:return: (dict) models maps invalid models to their invalidation reason.
"""
models = dict()
self._multiStepFeedback = QgsProcessingMultiStepFeedback(
len(self._param["models"]), self.feedback)
self._multiStepFeedback.setCurrentStep(0)
for modelName, modelParam in self._param["models"].items():
model = DsgToolsProcessingModel(modelParam,
modelName,
feedback=self._multiStepFeedback)
if not model.isValid():
models[modelName] = model.validateParameters(modelParam)
return models
def validModels(self):
"""
Returns all valid models from workflow parameters.
:return: (dict) models maps to valid and invalid models.
"""
models = dict()
self._multiStepFeedback = QgsProcessingMultiStepFeedback(
len(self._param["models"]), self.feedback)
self._multiStepFeedback.setCurrentStep(0)
for idx, (modelName,
modelParam) in enumerate(self._param["models"].items()):
model = DsgToolsProcessingModel(modelParam,
modelName,
feedback=self._multiStepFeedback)
if model.isValid():
models[modelName] = model
self._modelOrderMap[modelName] = idx
return models
def models(self):
"""
Model parameters defined to run in this workflow.
:return: (dict) models maps to valid and invalid models.
"""
models = {"valid": dict(), "invalid": dict()}
self._multiStepFeedback = QgsProcessingMultiStepFeedback(
len(self._param["models"]), self.feedback)
self._multiStepFeedback.setCurrentStep(0)
for modelName, modelParam in self._param["models"].items():
model = DsgToolsProcessingModel(modelParam,
modelName,
feedback=self._multiStepFeedback)
if not model.isValid():
models["invalid"][modelName] = model.validateParameters(
modelParam)
else:
models["valid"][modelName] = model
return models
def validateParameters(self, parameters):
"""
Validates a set of parameters for a valid Workflow.
:param parameters: (dict) map of workflow attributes to be validated.
:return: (str) invalidation reason.
"""
if "displayName" not in parameters or not parameters["displayName"]:
# this is not a mandatory item, but it defaults to a value
parameters["displayName"] = self.tr("DSGTools Validation Workflow")
if "models" not in parameters or not parameters["models"]:
return self.tr("Workflow seems to have no models associated with it.")
for modelName, modelParam in parameters["models"].items():
model=DsgToolsProcessingModel(modelParam, modelName)
if not model.isValid():
return self.tr("Model {model} is invalid: '{reason}'.").format(
model=modelName, reason=model.validateParameters(modelParam)
)
# if "flagLayer" not in parameters or not parameters["flagLayer"]:
# self.tr("No flag layer was provided.")
# if "historyLayer" not in parameters or not parameters["historyLayer"]:
# self.tr("No history layer was provided.")
return ""
def importWorkflow(self, filepath):
"""
Sets workflow contents from an imported DSGTools Workflow dump file.
:param filepath: (str) workflow file to be imported.
"""
with open(filepath, "r", encoding="utf-8") as f:
xml = json.load(f)
workflow = QualityAssuranceWorkflow(xml)
self.clear()
self.setWorkflowAuthor(workflow.author())
self.setWorkflowVersion(workflow.version())
self.setWorkflowName(workflow.displayName())
for row, modelParam in enumerate(xml["models"].values()):
self.setModelToRow(row, DsgToolsProcessingModel(modelParam, ""))
