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Make things work properly using the new Arcus API

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This commit is contained in:
Arjen Hiemstra 2016-01-28 18:07:42 +01:00
parent 21f70c4123
commit e74d300fb3
3 changed files with 18 additions and 11 deletions
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16
plugins/CuraEngineBackend/ProcessSlicedObjectListJob.py
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@ -55,21 +55,27 @@ class ProcessSlicedObjectListJob(Job):
layer_data = LayerData.LayerData()
layer_count = 0
for object in self._message.objects:
layer_count += len(object.layers)
for i in range(self._message.repeatedMessageCount("objects")):
layer_count += self._message.getRepeatedMessage("objects", i).repeatedMessageCount("layers")
current_layer = 0
for object in self._message.objects:
for i in range(self._message.repeatedMessageCount("objects")):
object = self._message.getRepeatedMessage("objects", i)
try:
node = object_id_map[object.id]
except KeyError:
continue
for layer in object.layers:
for l in range(object.repeatedMessageCount("layers")):
layer = object.getRepeatedMessage("layers", i)
layer_data.addLayer(layer.id)
layer_data.setLayerHeight(layer.id, layer.height)
layer_data.setLayerThickness(layer.id, layer.thickness)
for polygon in layer.polygons:
for p in range(layer.repeatedMessageCount("polygons")):
polygon = layer.getRepeatedMessage("polygons", i)
points = numpy.fromstring(polygon.points, dtype="i8") # Convert bytearray to numpy array
points = points.reshape((-1,2)) # We get a linear list of pairs that make up the points, so make numpy interpret them correctly.
points = numpy.asarray(points, dtype=numpy.float32)