/[thuban]/branches/WIP-pyshapelib-bramz/Thuban/Model/layer.py
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revision 437 by jonathan, Thu Feb 27 15:53:21 2003 UTC revision 2551 by jonathan, Thu Jan 27 14:19:41 2005 UTC
# Line 1  Line 1 
1  # Copyright (c) 2001, 2002 by Intevation GmbH  # Copyright (c) 2001, 2002, 2003, 2004 by Intevation GmbH
2  # Authors:  # Authors:
3  # Bernhard Herzog <[email protected]>  # Bernhard Herzog <[email protected]>
4  # Jonathan Coles <[email protected]>  # Jonathan Coles <[email protected]>
5    # Silke Reimer <[email protected]>
6  #  #
7  # This program is free software under the GPL (>=v2)  # This program is free software under the GPL (>=v2)
8  # Read the file COPYING coming with Thuban for details.  # Read the file COPYING coming with Thuban for details.
# Line 9  Line 10 
10  __version__ = "$Revision$"  __version__ = "$Revision$"
11    
12  import os  import os
13  from math import log, ceil  import warnings
14    
15  from Thuban import _  from Thuban import _
16    
17  import shapelib, shptree  from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \
18         LAYER_CHANGED, LAYER_SHAPESTORE_REPLACED, CLASS_CHANGED
 from messages import LAYER_PROJECTION_CHANGED, LAYER_LEGEND_CHANGED, \  
      LAYER_VISIBILITY_CHANGED  
   
 from color import Color  
19    
20  import classification  import classification
21    
22  from table import Table  from color import Transparent, Black
   
23  from base import TitledObject, Modifiable  from base import TitledObject, Modifiable
24    from data import SHAPETYPE_POLYGON, SHAPETYPE_ARC, SHAPETYPE_POINT
25    
26  class Shape:  import resource
   
     """Represent one shape"""  
   
     def __init__(self, points):  
         self.points = points  
         #self.compute_bbox()  
   
     def compute_bbox(self):  
         xs = []  
         ys = []  
         for x, y in self.points:  
             xs.append(x)  
             ys.append(y)  
         self.llx = min(xs)  
         self.lly = min(ys)  
         self.urx = max(xs)  
         self.ury = max(ys)  
   
     def Points(self):  
         return self.points  
   
27    
28    from color import Color
 # Shape type constants  
 SHAPETYPE_POLYGON = "polygon"  
 SHAPETYPE_ARC = "arc"  
 SHAPETYPE_POINT = "point"  
   
 # mapping from shapelib shapetype constants to our constants  
 shapelib_shapetypes = {shapelib.SHPT_POLYGON: SHAPETYPE_POLYGON,  
                        shapelib.SHPT_ARC: SHAPETYPE_ARC,  
                        shapelib.SHPT_POINT: SHAPETYPE_POINT}  
29    
30  shapetype_names = {SHAPETYPE_POINT: "Point",  shapetype_names = {SHAPETYPE_POINT: "Point",
31                     SHAPETYPE_ARC: "Arc",                     SHAPETYPE_ARC: "Arc",
# Line 68  class BaseLayer(TitledObject, Modifiable Line 35  class BaseLayer(TitledObject, Modifiable
35    
36      """Base class for the layers."""      """Base class for the layers."""
37    
38      def __init__(self, title, visible = 1):      def __init__(self, title, visible = True, projection = None):
39          """Initialize the layer.          """Initialize the layer.
40    
41          title -- the title          title -- the title
# Line 77  class BaseLayer(TitledObject, Modifiable Line 44  class BaseLayer(TitledObject, Modifiable
44          TitledObject.__init__(self, title)          TitledObject.__init__(self, title)
45          Modifiable.__init__(self)          Modifiable.__init__(self)
46          self.visible = visible          self.visible = visible
47            self.projection = projection
48    
49      def Visible(self):      def Visible(self):
50          """Return true if layer is visible"""          """Return true if layer is visible"""
# Line 87  class BaseLayer(TitledObject, Modifiable Line 55  class BaseLayer(TitledObject, Modifiable
55          self.visible = visible          self.visible = visible
56          self.issue(LAYER_VISIBILITY_CHANGED, self)          self.issue(LAYER_VISIBILITY_CHANGED, self)
57    
58        def HasClassification(self):
59            """Determine if this layer supports classifications."""
60            return False
61    
62        def HasShapes(self):
63            """Determine if this layer supports shapes."""
64            return False
65    
66        def GetProjection(self):
67            """Return the layer's projection."""
68            return self.projection
69    
70        def SetProjection(self, projection):
71            """Set the layer's projection."""
72            self.projection = projection
73            self.changed(LAYER_PROJECTION_CHANGED, self)
74    
75        def Type(self):
76            return "Unknown"
77    
78  class Layer(BaseLayer):  class Layer(BaseLayer):
79    
# Line 95  class Layer(BaseLayer): Line 82  class Layer(BaseLayer):
82      All children of the layer have the same type.      All children of the layer have the same type.
83    
84      A layer has fill and stroke colors. Colors should be instances of      A layer has fill and stroke colors. Colors should be instances of
85      Color. They can also be None, indicating no fill or no stroke.      Color. They can also be Transparent, indicating no fill or no stroke.
86    
87      The layer objects send the following events, all of which have the      The layer objects send the following events, all of which have the
88      layer object as parameter:      layer object as parameter:
89    
90          TITLE_CHANGED -- The title has changed.          TITLE_CHANGED -- The title has changed.
91          LAYER_PROJECTION_CHANGED -- the projection has changed.          LAYER_PROJECTION_CHANGED -- the projection has changed.
         LAYER_LEGEND_CHANGED -- the fill or stroke attributes have changed  
   
92      """      """
93    
94      def __init__(self, title, filename, projection = None,      def __init__(self, title, data, projection = None,
95                   fill = Color.None,                   fill = Transparent,
96                   stroke = Color.Black,                   stroke = Black,
97                   stroke_width = 1,                   lineWidth = 1,
98                   visible = 1):                   visible = True):
99          """Initialize the layer.          """Initialize the layer.
100    
101          title -- the title          title -- the title
102          filename -- the name of the shapefile          data -- datastore object for the shape data shown by the layer
103          projection -- the projection object. Its Inverse method is          projection -- the projection object. Its Inverse method is
104                 assumed to map the layer's coordinates to lat/long                 assumed to map the layer's coordinates to lat/long
105                 coordinates                 coordinates
106          fill -- the fill color or None if the shapes are not filled          fill -- the fill color or Transparent if the shapes are
107          stroke -- the stroke color or None if the shapes are not stroked                  not filled
108            stroke -- the stroke color or Transparent if the shapes
109                    are not stroked
110          visible -- boolean. If true the layer is visible.          visible -- boolean. If true the layer is visible.
111    
112          colors are expected to be instances of Color class          colors are expected to be instances of Color class
113          """          """
114          BaseLayer.__init__(self, title, visible = visible)          BaseLayer.__init__(self, title,
115                                     visible = visible,
116                                     projection = projection)
117    
118          # Make the filename absolute. The filename will be          self.__classification = None
119          # interpreted relative to that anyway, but when saving a          self.store = None
         # session we need to compare absolute paths and it's usually  
         # safer to always work with absolute paths.  
         self.filename = os.path.abspath(filename)  
120    
121          self.projection = projection          self.SetShapeStore(data)
122          self.shapefile = None  
123          self.shapetree = None          self.classification_column = None
124          self.open_shapefile()          self.SetClassificationColumn(None)
125          # shapetable is the table associated with the shapefile, while          self.SetClassification(None)
126          # table is the default table used to look up attributes for  
127          # display          self.__classification.SetDefaultLineColor(stroke)
128          self.shapetable = Table(filename)          self.__classification.SetDefaultLineWidth(lineWidth)
         self.table = self.shapetable  
   
         self.__classification = classification.Classification(self)  
         self.__classification.SetDefaultStroke(stroke)  
         self.__classification.SetDefaultStrokeWidth(stroke_width)  
129          self.__classification.SetDefaultFill(fill)          self.__classification.SetDefaultFill(fill)
130    
131          self.UnsetModified()          self.UnsetModified()
132    
133      def open_shapefile(self):      def SetShapeStore(self, store):
134          if self.shapefile is None:          # Set the classification to None if there is a classification
135              self.shapefile = shapelib.ShapeFile(self.filename)          # and the new shapestore doesn't have a table with a suitable
136              numshapes, shapetype, mins, maxs = self.shapefile.info()          # column, i.e one with the same name and type as before
137              self.numshapes = numshapes          # FIXME: Maybe we should keep it the same if the type is
138              self.shapetype = shapelib_shapetypes[shapetype]          # compatible enough such as FIELDTYPE_DOUBLE and FIELDTYPE_INT
139            if self.__classification is not None:
140              # if there are shapes, set the bbox accordinly. Otherwise              columnname = self.classification_column
141              # set it to None.              columntype = self.GetFieldType(columnname)
142              if self.numshapes:              table = store.Table()
143                  self.bbox = mins[:2] + maxs[:2]              if (columnname is not None
144              else:                  and (not table.HasColumn(columnname)
145                  self.bbox = None                       or table.Column(columnname).type != columntype)):
146                    self.SetClassification(None)
147    
148              # estimate a good depth for the quad tree. Each depth          self.store = store
149              # multiplies the number of nodes by four, therefore we  
150              # basically take the base 4 logarithm of the number of          self.changed(LAYER_SHAPESTORE_REPLACED, self)
             # shapes.  
             if self.numshapes < 4:  
                 maxdepth = 1  
             else:  
                 maxdepth = int(ceil(log(self.numshapes / 4.0) / log(4)))  
151    
152              self.shapetree = shptree.SHPTree(self.shapefile.cobject(), 2,      def ShapeStore(self):
153                                               maxdepth)          return self.store
154    
155      def Destroy(self):      def Destroy(self):
156          BaseLayer.Destroy(self)          BaseLayer.Destroy(self)
157          if self.shapefile is not None:          if self.__classification is not None:
158              self.shapefile.close()              self.__classification.Unsubscribe(CLASS_CHANGED,
159              self.shapefile = None                                                self._classification_changed)
             self.shapetree = None  
         self.table.Destroy()  
160    
161      def BoundingBox(self):      def BoundingBox(self):
162          """Return the layer's bounding box in the intrinsic coordinate system.          """Return the layer's bounding box in the intrinsic coordinate system.
163    
164          If the layer has no shapes, return None.          If the layer has no shapes, return None.
165          """          """
166          # The bbox will be set by open_shapefile just as we need it          return self.store.BoundingBox()
         # here.  
         self.open_shapefile()  
         return self.bbox  
167    
168      def LatLongBoundingBox(self):      def LatLongBoundingBox(self):
169          """Return the layer's bounding box in lat/long coordinates.          """Return the layer's bounding box in lat/long coordinates.
# Line 199  class Layer(BaseLayer): Line 171  class Layer(BaseLayer):
171          Return None, if the layer doesn't contain any shapes.          Return None, if the layer doesn't contain any shapes.
172          """          """
173          bbox = self.BoundingBox()          bbox = self.BoundingBox()
174          if bbox is not None:          if bbox is not None and self.projection is not None:
175              llx, lly, urx, ury = bbox              bbox = self.projection.InverseBBox(bbox)
176            return bbox
177    
178        def Type(self):
179            return self.ShapeType();
180    
181        def ShapesBoundingBox(self, shapes):
182            """Return a bounding box in lat/long coordinates for the given
183            list of shape ids.
184    
185            If shapes is None or empty, return None.
186            """
187    
188            if shapes is None or len(shapes) == 0: return None
189    
190            xs = []
191            ys = []
192    
193            for id in shapes:
194                bbox = self.Shape(id).compute_bbox()
195              if self.projection is not None:              if self.projection is not None:
196                  llx, lly = self.projection.Inverse(llx, lly)                  bbox = self.projection.InverseBBox(bbox)
197                  urx, ury = self.projection.Inverse(urx, ury)              left, bottom, right, top = bbox
198              return llx, lly, urx, ury              xs.append(left); xs.append(right)
199          else:              ys.append(bottom); ys.append(top)
200              return None  
201            return (min(xs), min(ys), max(xs), max(ys))
202    
203    
204        def GetFieldType(self, fieldName):
205            if self.store:
206                table = self.store.Table()
207                if table.HasColumn(fieldName):
208                    return table.Column(fieldName).type
209            return None
210    
211        def HasShapes(self):
212            return True
213    
214      def NumShapes(self):      def NumShapes(self):
215          """Return the number of shapes in the layer"""          """Return the number of shapes in the layer"""
216          self.open_shapefile()          return self.store.NumShapes()
         return self.numshapes  
217    
218      def ShapeType(self):      def ShapeType(self):
219          """Return the type of the shapes in the layer.          """Return the type of the shapes in the layer.
220          This is either SHAPETYPE_POINT, SHAPETYPE_ARC or SHAPETYPE_POLYGON.  
221            The return value is one of the SHAPETYPE_* constants defined in
222            Thuban.Model.data.
223          """          """
224          self.open_shapefile()          return self.store.ShapeType()
         return self.shapetype  
225    
226      def Shape(self, index):      def Shape(self, index):
227          """Return the shape with index index"""          """Return the shape with index index"""
228          self.open_shapefile()          return self.store.Shape(index)
         shape = self.shapefile.read_object(index)  
   
         if self.shapetype == SHAPETYPE_POINT:  
             points = shape.vertices()  
         else:  
             #for poly in shape.vertices():  
             poly = shape.vertices()[0]  
             points = []  
             for x, y in poly:  
                 points.append((x, y))  
   
         return Shape(points)  
229    
230      def ShapesInRegion(self, box):      def ShapesInRegion(self, bbox):
231          """Return the ids of the shapes that overlap the box.          """Return an iterable over the shapes that overlap the bounding box.
232    
233          Box is a tuple (left, bottom, right, top) in the coordinate          The bbox parameter should be the bounding box as a tuple in the
234          system used by the layer's shapefile.          form (minx, miny, maxx, maxy) in unprojected coordinates.
235            """
236            if self.projection is not None:
237                # Ensure that region lies within the layer's bounding box
238                # Otherwise projection of the region would lead to incorrect
239                # values.
240                clipbbox = self.ClipBoundingBox(bbox)
241                bbox = self.projection.ForwardBBox(clipbbox)
242            return self.store.ShapesInRegion(bbox)
243    
244        def GetClassificationColumn(self):
245            return self.classification_column
246    
247        def SetClassificationColumn(self, column):
248            """Set the column to classifiy on, or None. If column is not None
249            and the column does not exist in the table, raise a ValueError.
250          """          """
251          left, bottom, right, top = box          if column:
252          return self.shapetree.find_shapes((left, bottom), (right, top))              columnType = self.GetFieldType(column)
253                if columnType is None:
254                    raise ValueError()
255            changed = self.classification_column != column
256            self.classification_column = column
257            if changed:
258                self.changed(LAYER_CHANGED, self)
259    
260      def SetProjection(self, projection):      def HasClassification(self):
261          """Set the layer's projection"""          return True
         self.projection = projection  
         self.changed(LAYER_PROJECTION_CHANGED, self)  
262    
263      def GetClassification(self):      def GetClassification(self):
264          return self.__classification          return self.__classification
265    
266      def SetClassification(self, clazz):      def SetClassification(self, clazz):
267            """Set the classification used by this layer to 'clazz'
268    
269            If 'clazz' is None a default classification is created.
270    
271            This issues a LAYER_CHANGED event.
272            """
273    
274            if self.__classification is not None:
275                self.__classification.Unsubscribe(CLASS_CHANGED,
276                                                  self._classification_changed)
277    
278            if clazz is None:
279                clazz = classification.Classification()
280    
281          self.__classification = clazz          self.__classification = clazz
282          self.changed(LAYER_LEGEND_CHANGED, self)          self.__classification.Subscribe(CLASS_CHANGED,
283                                            self._classification_changed)
284    
285            self._classification_changed()
286    
287        def _classification_changed(self):
288            """Called from the classification object when it has changed."""
289            self.changed(LAYER_CHANGED, self)
290    
291      def TreeInfo(self):      def TreeInfo(self):
292          items = []          items = []
293    
294            items.append(_("Filename: %s") % self.ShapeStore().FileName())
295    
296          if self.Visible():          if self.Visible():
297              items.append(_("Shown"))              items.append(_("Shown"))
298          else:          else:
# Line 268  class Layer(BaseLayer): Line 301  class Layer(BaseLayer):
301    
302          bbox = self.LatLongBoundingBox()          bbox = self.LatLongBoundingBox()
303          if bbox is not None:          if bbox is not None:
304              items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox)              items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % tuple(bbox))
305          else:          else:
306              items.append(_("Extent (lat-lon):"))              items.append(_("Extent (lat-lon):"))
307          items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()])          items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()])
308    
309            if self.projection and len(self.projection.params) > 0:
310                items.append((_("Projection"),
311                            [str(param) for param in self.projection.params]))
312    
313          items.append(self.__classification)          items.append(self.__classification)
314    
315          return (_("Layer '%s'") % self.Title(), items)          return (_("Layer '%s'") % self.Title(), items)
316    
317        def ClipBoundingBox(self, bbox):
318            """ Clip bbox to layer's bounding box.
319    
320            Returns that part of bbox that lies within the layers bounding box.
321            If bbox is completely outside of the layers bounding box, bbox is
322            returned.  It is assumed that bbox has sensible values, i.e. bminx
323            < bmaxx and bminy < bmaxy.
324            """
325            bminx, bminy, bmaxx, bmaxy = bbox
326            lminx, lminy, lmaxx, lmaxy = self.LatLongBoundingBox()
327            if bminx > lmaxx or bmaxx < lminx:
328                left, right = bminx, bmaxx
329            else:
330                left = max(lminx, bminx)
331                right = min(lmaxx, bmaxx)
332            if bminy > lmaxy or bmaxy < lminy:
333                bottom, top = bminy, bmaxy
334            else:
335                bottom = max(lminy, bminy)
336                top = min(lmaxy, bmaxy)
337            
338            return (left, bottom, right, top)
339    
340    
341    if resource.has_gdal_support():
342        import gdal
343        from gdalconst import GA_ReadOnly
344    
345    class RasterLayer(BaseLayer):
346    
347        def __init__(self, title, filename, projection = None, visible = True):
348            """Initialize the Raster Layer.
349    
350            title -- title for the layer.
351    
352            filename -- file name of the source image.
353    
354            projection -- Projection object describing the projection which
355                          the source image is in.
356    
357            visible -- True is the layer should initially be visible.
358    
359            Throws IOError if the filename is invalid or points to a file that
360            is not in a format GDAL can use.
361            """
362    
363            BaseLayer.__init__(self, title, visible = visible)
364    
365            self.projection = projection
366            self.filename = os.path.abspath(filename)
367    
368            self.bbox = -1
369    
370            self.use_mask = False
371    
372            self.image_info = None
373    
374            if resource.has_gdal_support():
375                #
376                # temporarily open the file so that GDAL can test if it's valid.
377                #
378                dataset = gdal.Open(self.filename, GA_ReadOnly)
379    
380                if dataset is None:
381                    raise IOError()
382    
383                #
384                # while we have the file, extract some basic information
385                # that we can display later
386                #
387                self.image_info = {}
388    
389                self.image_info["nBands"] = dataset.RasterCount
390                self.image_info["Size"] = (dataset.RasterXSize, dataset.RasterYSize)
391                self.image_info["Driver"] = dataset.GetDriver().ShortName
392    
393                # store some information about the individual bands
394                # [min_value, max_value]
395                a = self.image_info["BandData"] = []
396    
397                for i in range(1, dataset.RasterCount+1):
398                    band = dataset.GetRasterBand(i)
399                    a.append(band.ComputeRasterMinMax())
400    
401            self.UnsetModified()
402    
403        def BoundingBox(self):
404            """Return the layer's bounding box in the intrinsic coordinate system.
405    
406            If the there is no support for images, or the file cannot
407            be read, or there is no geographics information available, return None.
408            """
409            if not resource.has_gdal_support():
410                return None
411    
412            if self.bbox == -1:
413                dataset = gdal.Open(self.filename, GA_ReadOnly)
414                if dataset is None:
415                    self.bbox = None
416                else:
417                    geotransform = dataset.GetGeoTransform()
418                    if geotransform is None:
419                        return None
420    
421                    x = 0
422                    y = dataset.RasterYSize
423                    left = geotransform[0] +        \
424                           geotransform[1] * x +    \
425                           geotransform[2] * y
426    
427                    bottom = geotransform[3] +      \
428                             geotransform[4] * x +  \
429                             geotransform[5] * y
430    
431                    x = dataset.RasterXSize
432                    y = 0
433                    right = geotransform[0] +       \
434                            geotransform[1] * x +   \
435                            geotransform[2] * y
436    
437                    top = geotransform[3] +         \
438                          geotransform[4] * x +     \
439                          geotransform[5] * y
440    
441                    self.bbox = (left, bottom, right, top)
442    
443            return self.bbox
444    
445        def LatLongBoundingBox(self):
446            bbox = self.BoundingBox()
447            if bbox is None:
448                return None
449    
450            if self.projection is not None:
451                bbox = self.projection.InverseBBox(bbox)
452    
453            return bbox
454    
455        def Type(self):
456            return "Image"
457    
458        def GetImageFilename(self):
459            return self.filename
460    
461        def UseMask(self):
462            """Return True if the mask should be used when rendering the layer."""
463            return self.use_mask
464    
465        def SetUseMask(self, use):
466            """Set whether to use a mask when render the image.
467    
468            If the state changes, a LAYER_CHANGED message is sent.
469            """
470            if use != self.use_mask:
471                self.use_mask = use
472                self.changed(LAYER_CHANGED, self)
473    
474        def ImageInfo(self):
475            return self.image_info
476    
477        def TreeInfo(self):
478            items = []
479    
480            items.append(_("Filename: %s") % self.GetImageFilename())
481    
482            if self.Visible():
483                items.append(_("Shown"))
484            else:
485                items.append(_("Hidden"))
486    
487            bbox = self.LatLongBoundingBox()
488            if bbox is not None:
489                items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox)
490            else:
491                items.append(_("Extent (lat-lon):"))
492    
493            if self.projection and len(self.projection.params) > 0:
494                items.append((_("Projection"),
495                            [str(param) for param in self.projection.params]))
496    
497            return (_("Layer '%s'") % self.Title(), items)
498    

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