/[thuban]/trunk/thuban/Thuban/Model/layer.py

Diff of /trunk/thuban/Thuban/Model/layer.py

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-revision 2228 by bh,
Thu Jun  3 15:17:54 2004 UTC
+revision 2552 by jonathan,
Fri Jan 28 15:54:00 2005 UTC
 Line 2
  # Authors:
  # Bernhard Herzog <[email protected]>
  # Jonathan Coles <[email protected]>
+ # Silke Reimer <[email protected]>
  #
  # This program is free software under the GPL (>=v2)
  # Read the file COPYING coming with Thuban for details.
-Line 24 
 from data import SHAPETYPE_POLYGON, SHAP
+Line 25 
 from data import SHAPETYPE_POLYGON, SHAP
  import resource
+ from color import Color
  shapetype_names = {SHAPETYPE_POINT: "Point",
                     SHAPETYPE_ARC: "Arc",
-Line 54 
 class BaseLayer(TitledObject, Modifiable
+Line 56 
 class BaseLayer(TitledObject, Modifiable
          self.issue(LAYER_VISIBILITY_CHANGED, self)
      def HasClassification(self):
-         """Determine if this layer support classifications."""
+         """Determine if this layer supports classifications."""
          return False
      def HasShapes(self):
-Line 66 
 class BaseLayer(TitledObject, Modifiable
+Line 68 
 class BaseLayer(TitledObject, Modifiable
          return self.projection
      def SetProjection(self, projection):
-         """Set the layer's projection"""
+         """Set the layer's projection."""
          self.projection = projection
          self.changed(LAYER_PROJECTION_CHANGED, self)
+     def Type(self):
+         return "Unknown"
  class Layer(BaseLayer):
      """Represent the information of one geodata file (currently a shapefile)
-Line 170 
 class Layer(BaseLayer):
+Line 175 
 class Layer(BaseLayer):
              bbox = self.projection.InverseBBox(bbox)
          return bbox
+     def Type(self):
+         return self.ShapeType();
      def ShapesBoundingBox(self, shapes):
          """Return a bounding box in lat/long coordinates for the given
          list of shape ids.
-Line 226 
 class Layer(BaseLayer):
+Line 234 
 class Layer(BaseLayer):
          form (minx, miny, maxx, maxy) in unprojected coordinates.
          """
          if self.projection is not None:
-             bbox = self.projection.ForwardBBox(bbox)
+             # Ensure that region lies within the layer's bounding box
+             # Otherwise projection of the region would lead to incorrect
+             # values.
+             clipbbox = self.ClipBoundingBox(bbox)
+             bbox = self.projection.ForwardBBox(clipbbox)
          return self.store.ShapesInRegion(bbox)
      def GetClassificationColumn(self):
-Line 302 
 class Layer(BaseLayer):
+Line 314 
 class Layer(BaseLayer):
          return (_("Layer '%s'") % self.Title(), items)
+     def ClipBoundingBox(self, bbox):
+         """ Clip bbox to layer's bounding box.
+         Returns that part of bbox that lies within the layers bounding box.
+         If bbox is completely outside of the layers bounding box, bbox is
+         returned.  It is assumed that bbox has sensible values, i.e. bminx
+         < bmaxx and bminy < bmaxy.
+         """
+         bminx, bminy, bmaxx, bmaxy = bbox
+         lminx, lminy, lmaxx, lmaxy = self.LatLongBoundingBox()
+         if bminx > lmaxx or bmaxx < lminx:
+             left, right = bminx, bmaxx
+         else:
+             left = max(lminx, bminx)
+             right = min(lmaxx, bmaxx)
+         if bminy > lmaxy or bmaxy < lminy:
+             bottom, top = bminy, bmaxy
+         else:
+             bottom = max(lminy, bminy)
+             top = min(lmaxy, bmaxy)
+         return (left, bottom, right, top)
  if resource.has_gdal_support():
      import gdal
-Line 332 
 class RasterLayer(BaseLayer):
+Line 367 
 class RasterLayer(BaseLayer):
          self.bbox = -1
+         self.use_mask = True
+         self.image_info = None
          if resource.has_gdal_support():
              #
              # temporarily open the file so that GDAL can test if it's valid.
-Line 341 
 class RasterLayer(BaseLayer):
+Line 380 
 class RasterLayer(BaseLayer):
              if dataset is None:
                  raise IOError()
+             #
+             # while we have the file, extract some basic information
+             # that we can display later
+             #
+             self.image_info = {}
+             self.image_info["nBands"] = dataset.RasterCount
+             self.image_info["Size"] = (dataset.RasterXSize, dataset.RasterYSize)
+             self.image_info["Driver"] = dataset.GetDriver().ShortName
+             # store some information about the individual bands
+             # [min_value, max_value]
+             a = self.image_info["BandData"] = []
+             for i in range(1, dataset.RasterCount+1):
+                 band = dataset.GetRasterBand(i)
+                 a.append(band.ComputeRasterMinMax())
          self.UnsetModified()
      def BoundingBox(self):
-Line 395 
 class RasterLayer(BaseLayer):
+Line 452 
 class RasterLayer(BaseLayer):
          return bbox
+     def Type(self):
+         return "Image"
      def GetImageFilename(self):
          return self.filename
+     def UseMask(self):
+         """Return True if the mask should be used when rendering the layer."""
+         return self.use_mask
+     def SetUseMask(self, use):
+         """Set whether to use a mask when render the image.
+         If the state changes, a LAYER_CHANGED message is sent.
+         """
+         if use != self.use_mask:
+             self.use_mask = use
+             self.changed(LAYER_CHANGED, self)
+     def ImageInfo(self):
+         return self.image_info
      def TreeInfo(self):
          items = []

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