/[thuban]/trunk/thuban/Thuban/Model/layer.py
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revision 389 by jonathan, Mon Feb 10 15:25:30 2003 UTC revision 1088 by bh, Wed May 28 12:42:23 2003 UTC
# Line 1  Line 1 
1  # Copyright (c) 2001, 2002 by Intevation GmbH  # Copyright (c) 2001, 2002, 2003 by Intevation GmbH
2  # Authors:  # Authors:
3  # Bernhard Herzog <[email protected]>  # Bernhard Herzog <[email protected]>
4    # Jonathan Coles <[email protected]>
5  #  #
6  # This program is free software under the GPL (>=v2)  # This program is free software under the GPL (>=v2)
7  # Read the file COPYING coming with Thuban for details.  # Read the file COPYING coming with Thuban for details.
8    
9  __version__ = "$Revision$"  __version__ = "$Revision$"
10    
 import os  
11  from math import log, ceil  from math import log, ceil
12    
13  from Thuban import _  from Thuban import _
14    
15  import shapelib, shptree  import shapelib, shptree
16    
17  from messages import LAYER_PROJECTION_CHANGED, LAYER_LEGEND_CHANGED, \  import gdal
18       LAYER_VISIBILITY_CHANGED  from gdalconst import GA_ReadOnly
19    
20  from color import Color  from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \
21  # Some predefined colors for internal use       LAYER_CHANGED
 _black = Color(0, 0, 0)  
22    
23  from classification import Classification  from color import Color
24    
25  from table import Table  import classification
26    
27  from base import TitledObject, Modifiable  from base import TitledObject, Modifiable
28    
29    
30  class Shape:  class Shape:
31    
32      """Represent one shape"""      """Represent one shape"""
# Line 34  class Shape: Line 34  class Shape:
34      def __init__(self, points):      def __init__(self, points):
35          self.points = points          self.points = points
36          #self.compute_bbox()          #self.compute_bbox()
37            self.bbox = None
38    
39      def compute_bbox(self):      def compute_bbox(self):
40            if self.bbox is not None:
41                return self.bbox
42    
43          xs = []          xs = []
44          ys = []          ys = []
45          for x, y in self.points:          for x, y in self.points:
# Line 46  class Shape: Line 50  class Shape:
50          self.urx = max(xs)          self.urx = max(xs)
51          self.ury = max(ys)          self.ury = max(ys)
52    
53            self.bbox = (self.llx, self.lly, self.urx, self.ury)
54    
55            return self.bbox
56    
57      def Points(self):      def Points(self):
58          return self.points          return self.points
59    
# Line 69  class BaseLayer(TitledObject, Modifiable Line 77  class BaseLayer(TitledObject, Modifiable
77    
78      """Base class for the layers."""      """Base class for the layers."""
79    
80      def __init__(self, title, visible = 1):      def __init__(self, title, visible = True, projection = None):
81          """Initialize the layer.          """Initialize the layer.
82    
83          title -- the title          title -- the title
# Line 78  class BaseLayer(TitledObject, Modifiable Line 86  class BaseLayer(TitledObject, Modifiable
86          TitledObject.__init__(self, title)          TitledObject.__init__(self, title)
87          Modifiable.__init__(self)          Modifiable.__init__(self)
88          self.visible = visible          self.visible = visible
89            self.projection = projection
90    
91      def Visible(self):      def Visible(self):
92          """Return true if layer is visible"""          """Return true if layer is visible"""
# Line 88  class BaseLayer(TitledObject, Modifiable Line 97  class BaseLayer(TitledObject, Modifiable
97          self.visible = visible          self.visible = visible
98          self.issue(LAYER_VISIBILITY_CHANGED, self)          self.issue(LAYER_VISIBILITY_CHANGED, self)
99    
100        def HasClassification(self):
101            """Determine if this layer support classifications."""
102            return False
103    
104        def GetProjection(self):
105            """Return the layer's projection."""
106            return self.projection
107    
108        def SetProjection(self, projection):
109            """Set the layer's projection"""
110            self.projection = projection
111            self.changed(LAYER_PROJECTION_CHANGED, self)
112    
113  class Layer(BaseLayer):  class Layer(BaseLayer):
114    
# Line 103  class Layer(BaseLayer): Line 124  class Layer(BaseLayer):
124    
125          TITLE_CHANGED -- The title has changed.          TITLE_CHANGED -- The title has changed.
126          LAYER_PROJECTION_CHANGED -- the projection has changed.          LAYER_PROJECTION_CHANGED -- the projection has changed.
         LAYER_LEGEND_CHANGED -- the fill or stroke attributes have changed  
   
127      """      """
128    
129      def __init__(self, title, filename, projection = None,      def __init__(self, title, data, projection = None,
130                   fill = None, stroke = _black, stroke_width = 1, visible = 1):                   fill = Color.Transparent,
131                     stroke = Color.Black,
132                     lineWidth = 1,
133                     visible = True):
134          """Initialize the layer.          """Initialize the layer.
135    
136          title -- the title          title -- the title
137          filename -- the name of the shapefile          data -- datastore object for the shape data shown by the layer
138          projection -- the projection object. Its Inverse method is          projection -- the projection object. Its Inverse method is
139                 assumed to map the layer's coordinates to lat/long                 assumed to map the layer's coordinates to lat/long
140                 coordinates                 coordinates
141          fill -- the fill color or None if the shapes are not filled          fill -- the fill color or Color.Transparent if the shapes are
142          stroke -- the stroke color or None if the shapes are not stroked                  not filled
143            stroke -- the stroke color or Color.Transparent if the shapes
144                    are not stroked
145          visible -- boolean. If true the layer is visible.          visible -- boolean. If true the layer is visible.
146    
147          colors are expected to be instances of Color class          colors are expected to be instances of Color class
148          """          """
149          BaseLayer.__init__(self, title, visible = visible)          BaseLayer.__init__(self, title,
150                                     visible = visible,
151                                     projection = projection)
152    
153            #
154            # this is really important so that when the classification class
155            # tries to set its parent layer the variable will exist
156            #
157            self.__classification = None
158            self.__setClassLock = False
159    
160            self.SetShapeStore(data)
161    
162            self.SetClassification(None)
163    
164            self.__classification.SetDefaultLineColor(stroke)
165            self.__classification.SetDefaultLineWidth(lineWidth)
166            self.__classification.SetDefaultFill(fill)
167            self.__classification.SetLayer(self)
168    
169          # Make the filename absolute. The filename will be          self.UnsetModified()
         # interpreted relative to that anyway, but when saving a  
         # session we need to compare absolute paths and it's usually  
         # safer to always work with absolute paths.  
         self.filename = os.path.abspath(filename)  
170    
         self.projection = projection  
         self.fill = fill  
         self.stroke = stroke  
         self.stroke_width = stroke_width  
         self.shapefile = None  
         self.shapetree = None  
         self.open_shapefile()  
         # shapetable is the table associated with the shapefile, while  
         # table is the default table used to look up attributes for  
         # display  
         self.shapetable = Table(filename)  
         self.table = self.shapetable  
171    
172          self.classification = Classification(self)      def SetShapeStore(self, store):
173          self.classification.SetDefaultStroke(stroke)          self.store = store
174          self.classification.SetDefaultStrokeWidth(stroke_width)          self.shapefile = self.store.Shapefile()
175          self.classification.SetDefaultFill(fill)          self.shapetable = self.store.Table()
176            if hasattr(self.store, "FileName"):
177                self.filename = self.store.FileName()
178            self.table = self.shapetable
179    
180          self.UnsetModified()          numshapes, shapetype, mins, maxs = self.shapefile.info()
181            self.numshapes = numshapes
182            self.shapetype = shapelib_shapetypes[shapetype]
183    
184            # if there are shapes, set the bbox accordingly. Otherwise
185            # set it to None.
186            if self.numshapes:
187                self.bbox = mins[:2] + maxs[:2]
188            else:
189                self.bbox = None
190    
191      def open_shapefile(self):          # estimate a good depth for the quad tree. Each depth
192          if self.shapefile is None:          # multiplies the number of nodes by four, therefore we
193              self.shapefile = shapelib.ShapeFile(self.filename)          # basically take the base 4 logarithm of the number of
194              numshapes, shapetype, mins, maxs = self.shapefile.info()          # shapes.
195              self.numshapes = numshapes          if self.numshapes < 4:
196              self.shapetype = shapelib_shapetypes[shapetype]              maxdepth = 1
197            else:
198              # if there are shapes, set the bbox accordinly. Otherwise              maxdepth = int(ceil(log(self.numshapes / 4.0) / log(4)))
             # set it to None.  
             if self.numshapes:  
                 self.bbox = mins[:2] + maxs[:2]  
             else:  
                 self.bbox = None  
199    
200              # estimate a good depth for the quad tree. Each depth          self.shapetree = shptree.SHPTree(self.shapefile.cobject(), 2,
201              # multiplies the number of nodes by four, therefore we                                           maxdepth)
202              # basically take the base 4 logarithm of the number of          # Set the classification to None if there is a classification
203              # shapes.          # and the new shapestore doesn't have a table with a suitable
204              if self.numshapes < 4:          # column, i.e one with the same name and type as before
205                  maxdepth = 1          # FIXME: Maybe we should keep it the same if the type is
206              else:          # compatible enough such as FIELDTYPE_DOUBLE and FIELDTYPE_INT
207                  maxdepth = int(ceil(log(self.numshapes / 4.0) / log(4)))          if self.__classification is not None:
208                fieldname = self.__classification.GetField()
209                fieldtype = self.__classification.GetFieldType()
210                table = self.store.Table()
211                if (fieldname is not None
212                    and (not table.HasColumn(fieldname)
213                         or table.Column(fieldname).type != fieldtype)):
214                    self.SetClassification(None)
215            self.changed(LAYER_CHANGED, self)
216    
217              self.shapetree = shptree.SHPTree(self.shapefile.cobject(), 2,      def ShapeStore(self):
218                                               maxdepth)          return self.store
219    
220      def Destroy(self):      def Destroy(self):
221          BaseLayer.Destroy(self)          BaseLayer.Destroy(self)
222          if self.shapefile is not None:          self.SetClassification(None)
             self.shapefile.close()  
             self.shapefile = None  
             self.shapetree = None  
         self.table.Destroy()  
223    
224      def BoundingBox(self):      def BoundingBox(self):
225          """Return the layer's bounding box in the intrinsic coordinate system.          """Return the layer's bounding box in the intrinsic coordinate system.
226    
227          If the layer has no shapes, return None.          If the layer has no shapes, return None.
228          """          """
         # The bbox will be set by open_shapefile just as we need it  
         # here.  
         self.open_shapefile()  
229          return self.bbox          return self.bbox
230    
231      def LatLongBoundingBox(self):      def LatLongBoundingBox(self):
# Line 209  class Layer(BaseLayer): Line 243  class Layer(BaseLayer):
243          else:          else:
244              return None              return None
245    
246        def ShapesBoundingBox(self, shapes):
247            """Return a bounding box in lat/long coordinates for the given
248            list of shape ids.
249    
250            If shapes is None or empty, return None.
251            """
252    
253            if shapes is None or len(shapes) == 0: return None
254    
255            llx = []
256            lly = []
257            urx = []
258            ury = []
259    
260            if self.projection is not None:
261                inverse = lambda x, y: self.projection.Inverse(x, y)
262            else:
263                inverse = lambda x, y: (x, y)
264    
265            for id in shapes:
266                left, bottom, right, top = self.Shape(id).compute_bbox()
267    
268                left, bottom = inverse(left, bottom)
269                right, top   = inverse(right, top)
270    
271                llx.append(left)
272                lly.append(bottom)
273                urx.append(right)
274                ury.append(top)
275    
276            return (min(llx), min(lly), max(urx), max(ury))
277    
278        def GetFieldType(self, fieldName):
279            if self.table.HasColumn(fieldName):
280                return self.table.Column(fieldName).type
281            return None
282    
283      def NumShapes(self):      def NumShapes(self):
284          """Return the number of shapes in the layer"""          """Return the number of shapes in the layer"""
         self.open_shapefile()  
285          return self.numshapes          return self.numshapes
286    
287      def ShapeType(self):      def ShapeType(self):
288          """Return the type of the shapes in the layer.          """Return the type of the shapes in the layer.
289          This is either SHAPETYPE_POINT, SHAPETYPE_ARC or SHAPETYPE_POLYGON.          This is either SHAPETYPE_POINT, SHAPETYPE_ARC or SHAPETYPE_POLYGON.
290          """          """
         self.open_shapefile()  
291          return self.shapetype          return self.shapetype
292    
293      def Shape(self, index):      def Shape(self, index):
294          """Return the shape with index index"""          """Return the shape with index index"""
         self.open_shapefile()  
295          shape = self.shapefile.read_object(index)          shape = self.shapefile.read_object(index)
296    
297          if self.shapetype == SHAPETYPE_POINT:          if self.shapetype == SHAPETYPE_POINT:
# Line 240  class Layer(BaseLayer): Line 308  class Layer(BaseLayer):
308      def ShapesInRegion(self, box):      def ShapesInRegion(self, box):
309          """Return the ids of the shapes that overlap the box.          """Return the ids of the shapes that overlap the box.
310    
311          Box is a tuple (left, bottom, right, top) in the coordinate          Box is a tuple (left, bottom, right, top) in unprojected coordinates.
         system used by the layer's shapefile.  
312          """          """
313          left, bottom, right, top = box          left, bottom, right, top = box
314    
315            if self.projection is not None:
316                left,  bottom = self.projection.Forward(left, bottom)
317                right, top    = self.projection.Forward(right, top)
318    
319          return self.shapetree.find_shapes((left, bottom), (right, top))          return self.shapetree.find_shapes((left, bottom), (right, top))
320    
321      def SetProjection(self, projection):      def HasClassification(self):
322          """Set the layer's projection"""          return True
         self.projection = projection  
         self.changed(LAYER_PROJECTION_CHANGED, self)  
323    
324        def GetClassification(self):
325            return self.__classification
326    
327        def SetClassification(self, clazz):
328            """Set the classification to 'clazz'
329    
330            If 'clazz' is None a default classification is created
331            """
332    
333            # prevent infinite recursion when calling SetLayer()
334            if self.__setClassLock: return
335    
336            self.__setClassLock = True
337    
338            if clazz is None:
339                if self.__classification is not None:
340                    self.__classification.SetLayer(None)
341                self.__classification = classification.Classification()
342            else:
343                self.__classification = clazz
344                try:
345                    self.__classification.SetLayer(self)
346                except ValueError:
347                    self.__setClassLock = False
348                    raise ValueError
349    
350            self.changed(LAYER_CHANGED, self)
351    
352            self.__setClassLock = False
353    
354        def ClassChanged(self):
355            """Called from the classification object when it has changed."""
356            self.changed(LAYER_CHANGED, self)
357    
358      def TreeInfo(self):      def TreeInfo(self):
359          items = []          items = []
360    
361            if hasattr(self, 'filename'):
362                items.append(_("Filename: %s") % self.filename)
363    
364          if self.Visible():          if self.Visible():
365              items.append(_("Shown"))              items.append(_("Shown"))
366          else:          else:
# Line 267  class Layer(BaseLayer): Line 374  class Layer(BaseLayer):
374              items.append(_("Extent (lat-lon):"))              items.append(_("Extent (lat-lon):"))
375          items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()])          items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()])
376    
377          def color_string(color):          if self.projection and len(self.projection.params) > 0:
378              if color is None:              items.append((_("Projection"),
379                  return "None"                          [str(param) for param in self.projection.params]))
             return "(%.3f, %.3f, %.3f)" % (color.red, color.green, color.blue)  
380    
381          # layers will always have a classification with at least a NULL data set          items.append(self.__classification)
382    
383          #items.append((_("Fill: %s") % color_string(self.fill), self.fill))          return (_("Layer '%s'") % self.Title(), items)
384          #items.append((_("Outline: %s") % color_string(self.stroke), self.stroke))  
385    
386    class RasterLayer(BaseLayer):
387    
388        def __init__(self, title, filename, projection = None, visible = True):
389            """Initialize the Raster Layer.
390    
391            title -- title for the layer.
392    
393            filename -- file name of the source image.
394    
395            projection -- Projection object describing the projection which
396                          the source image is in.
397    
398            visible -- True is the layer should initially be visible.
399    
400            Throws IOError if the filename is invalid or points to a file that
401            is not in a format GDAL can use.
402            """
403    
404            BaseLayer.__init__(self, title, visible = visible)
405    
406            self.projection = projection
407            self.filename = filename
408    
409            self.bbox = -1
410    
411            #
412            # temporarily open the file so that GDAL can test if it's valid.
413            #
414            dataset = gdal.Open(self.filename, GA_ReadOnly)
415    
416            if dataset is None:
417                raise IOError()
418    
419            self.UnsetModified()
420    
421        def BoundingBox(self):
422            """Return the layer's bounding box in the intrinsic coordinate system.
423    
424            If the layer has no shapes, return None.
425            """
426            if self.bbox == -1:
427                dataset = gdal.Open(self.filename, GA_ReadOnly)
428                if dataset is None:
429                    self.bbox = None
430                else:
431                    geotransform = dataset.GetGeoTransform()
432                    if geotransform is None:
433                        return None
434    
435                    x = 0
436                    y = dataset.RasterYSize
437                    left = geotransform[0] +        \
438                           geotransform[1] * x +    \
439                           geotransform[2] * y
440    
441                    bottom = geotransform[3] +      \
442                             geotransform[4] * x +  \
443                             geotransform[5] * y
444    
445                    x = dataset.RasterXSize
446                    y = 0
447                    right = geotransform[0] +       \
448                            geotransform[1] * x +   \
449                            geotransform[2] * y
450    
451                    top = geotransform[3] +         \
452                          geotransform[4] * x +     \
453                          geotransform[5] * y
454    
455                    self.bbox = (left, bottom, right, top)
456    
457            return self.bbox
458    
459        def LatLongBoundingBox(self):
460            bbox = self.BoundingBox()
461            if bbox is None:
462                return None
463    
464            llx, lly, urx, ury = bbox
465            if self.projection is not None:
466                llx, lly = self.projection.Inverse(llx, lly)
467                urx, ury = self.projection.Inverse(urx, ury)
468    
469            return llx, lly, urx, ury
470    
471        def GetImageFilename(self):
472            return self.filename
473    
474        def TreeInfo(self):
475            items = []
476    
477            if self.Visible():
478                items.append(_("Shown"))
479            else:
480                items.append(_("Hidden"))
481            items.append(_("Shapes: %d") % self.NumShapes())
482    
483            bbox = self.LatLongBoundingBox()
484            if bbox is not None:
485                items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox)
486            else:
487                items.append(_("Extent (lat-lon):"))
488    
489          items.append(self.classification)          if self.projection and len(self.projection.params) > 0:
490                items.append((_("Projection"),
491                            [str(param) for param in self.projection.params]))
492    
493          return (_("Layer '%s'") % self.Title(), items)          return (_("Layer '%s'") % self.Title(), items)
494    
Legend:
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