Salome HOME
Copyright update 2022
[modules/shaper.git] / src / PythonAPI / model / tests / tests.py
index 0a99e7c48cd65b9b897f94dd3abc75f82178712e..79ac48d13ebedfa9aa899c33c5dcabcff3ffcf5f 100644 (file)
@@ -1,4 +1,4 @@
-# Copyright (C) 2014-2019  CEA/DEN, EDF R&D
+# Copyright (C) 2014-2022  CEA/DEN, EDF R&D
 #
 # This library is free software; you can redistribute it and/or
 # modify it under the terms of the GNU Lesser General Public
@@ -20,7 +20,8 @@
 from GeomAlgoAPI import *
 from GeomAPI import *
 from GeomDataAPI import *
-from ModelAPI import ModelAPI_Feature
+from ModelAPI import ModelAPI_Feature, ModelAPI_Session
+from ModelHighAPI import *
 import math
 from salome.shaper.model import sketcher
 
@@ -71,6 +72,13 @@ def generateTests(theFeature, theFeatureName, theTestsList = []):
       aResultsVolumes.append(GeomAlgoAPI_ShapeTools_volume(theFeature.results()[anIndex].resultSubShapePair()[0].shape()))
     print("model.testResultsVolumes({}, [{}])".format(theFeatureName, ", ".join("{:0.27f}".format(i) for i in aResultsVolumes)))
 
+  if "testResultsAreas" in theTestsList or len(theTestsList) == 0:
+    aNbResults = len(theFeature.results())
+    aResultsAreas = []
+    for anIndex in range(0, aNbResults):
+      aResultsAreas.append(GeomAlgoAPI_ShapeTools_area(theFeature.results()[anIndex].resultSubShapePair()[0].shape()))
+    print("model.testResultsAreas({}, [{}])".format(theFeatureName, ", ".join("{:0.27f}".format(i) for i in aResultsAreas)))
+
 
 def testNbResults(theFeature, theExpectedNbResults):
   """ Tests number of feature results.
@@ -129,7 +137,25 @@ def testResultsVolumes(theFeature, theExpectedResultsVolumes, theNbSignificantDi
     aResultVolumeStr = "{:0.27f}".format(aResultVolume).lstrip("0").lstrip(".").lstrip("0")
     anExpectedResultVolume = theExpectedResultsVolumes[anIndex]
     anExpectedResultVolumeStr = "{:0.27f}".format(anExpectedResultVolume).lstrip("0").lstrip(".").lstrip("0")
-    assert math.fabs(aResultVolume - anExpectedResultVolume) < aTolerance * math.fabs(anExpectedResultVolume), "Volume of result[{}]: {:0.27f}. Expected: {:0.27f}. The first {} significant digits not equal.".format(anIndex, aResultVolume, anExpectedResultVolume, theNbSignificantDigits)
+    assert math.fabs(aResultVolume - anExpectedResultVolume) <= aTolerance * math.fabs(anExpectedResultVolume), "Volume of result[{}]: {:0.27f}. Expected: {:0.27f}. The first {} significant digits not equal.".format(anIndex, aResultVolume, anExpectedResultVolume, theNbSignificantDigits)
+
+
+def testResultsAreas(theFeature, theExpectedResultsVolumes, theNbSignificantDigits = 7):
+  """ Tests results areas.
+  :param theFeature: feature to test.
+  :param theExpectedResultsAreas: list of results areas. Size of list should be equal to len(theFeature.results()).
+  """
+  aTolerance = 10**(-theNbSignificantDigits)
+  aNbResults = len(theFeature.results())
+  aListSize = len(theExpectedResultsVolumes)
+  assert (aNbResults == aListSize), "Number of results: {} not equal to list size: {}.".format(aNbResults, aListSize)
+  for anIndex in range(0, aNbResults):
+    aResultVolume = GeomAlgoAPI_ShapeTools_area(theFeature.results()[anIndex].resultSubShapePair()[0].shape())
+    aResultVolumeStr = "{:0.27f}".format(aResultVolume).lstrip("0").lstrip(".").lstrip("0")
+    anExpectedResultVolume = theExpectedResultsVolumes[anIndex]
+    anExpectedResultVolumeStr = "{:0.27f}".format(anExpectedResultVolume).lstrip("0").lstrip(".").lstrip("0")
+    assert math.fabs(aResultVolume - anExpectedResultVolume) <= aTolerance * math.fabs(anExpectedResultVolume), "Area of result[{}]: {:0.27f}. Expected: {:0.27f}. The first {} significant digits not equal.".format(anIndex, aResultVolume, anExpectedResultVolume, theNbSignificantDigits)
+
 
 def testHaveNamingFaces(theFeature, theModel, thePartDoc) :
   """ Tests if all faces of result have a name
@@ -321,3 +347,42 @@ def checkGroup(theGroup, theShapeType):
     assert(name != ""), "String empty"
     presented_names.add(name)
   assert(len(presented_names) == groupSelectionList.size()), "Some names are not unique"
+
+def createSubShape(thePartDoc, theModel, theSelection):
+  """ Create feature according to the type of the given subshape
+  """
+  if theSelection.shapeType() == "VERTEX":
+    return theModel.addVertex(thePartDoc, [theSelection])
+  elif theSelection.shapeType() == "EDGE":
+    return theModel.addEdge(thePartDoc, [theSelection])
+  elif theSelection.shapeType() == "FACE":
+    return theModel.addFace(thePartDoc, [theSelection])
+
+def checkFilter(thePartDoc, theModel, theFilter, theShapesList):
+  """ Check filter's work on specified shape.
+      Shapes given as a dictionary of selection and expected result.
+  """
+  aFiltersFactory = ModelAPI_Session.get().filters()
+  for sel, res in theShapesList.items():
+    needUndo = False
+    shapeName = ""
+    shapeType = "UNKNOWN"
+    if sel.variantType() == ModelHighAPI_Selection.VT_ResultSubShapePair:
+      parent = sel.resultSubShapePair()[0]
+      shape = sel.resultSubShapePair()[1]
+      if shape.isNull():
+        shape = sel.resultSubShapePair()[0].shape()
+      shapeName = sel.name()
+      shapeType = shape.shapeTypeStr()
+    else:
+      needUndo = True
+      theModel.begin()
+      subShapeFeature = createSubShape(thePartDoc, theModel, sel)
+      theModel.end()
+      parent = subShapeFeature.results()[0].resultSubShapePair()[0]
+      shape = subShapeFeature.results()[0].resultSubShapePair()[0].shape()
+      shapeType = sel.typeSubShapeNamePair()[0]
+      shapeName = sel.typeSubShapeNamePair()[1]
+    assert aFiltersFactory.isValid(theFilter.feature(), parent, shape) == res, "Filter result for {} \"{}\" incorrect. Expected {}.".format(shapeType, shapeName, res)
+    if needUndo:
+      theModel.undo()