/[thuban]/trunk/thuban/Thuban/Model/layer.py
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revision 839 by bh, Tue May 6 15:54:18 2003 UTC revision 2587 by jonathan, Wed Mar 23 15:30:27 2005 UTC
# Line 1  Line 1 
1  # Copyright (c) 2001, 2002, 2003 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.
9    
10  __version__ = "$Revision$"  __version__ = "$Revision$"
11    
12  from math import log, ceil  import os
13    import warnings
14    
15  from Thuban import _  from Thuban import _
16    
 import shapelib, shptree  
   
17  from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \  from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \
18       LAYER_CHANGED       LAYER_CHANGED, LAYER_SHAPESTORE_REPLACED, CLASS_CHANGED
   
 from color import Color  
19    
20  import classification  import classification
21    
22    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    import resource
27    
28  class Shape:  from color import Color
   
     """Represent one shape"""  
   
     def __init__(self, points):  
         self.points = points  
         #self.compute_bbox()  
         self.bbox = None  
   
     def compute_bbox(self):  
         if self.bbox is not None:  
             return self.bbox  
   
         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)  
   
         self.bbox = (self.llx, self.lly, self.urx, self.ury)  
   
         return self.bbox  
   
     def Points(self):  
         return self.points  
   
   
   
 # 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 74  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 = True):      def __init__(self, title, visible = True, projection = None):
39          """Initialize the layer.          """Initialize the layer.
40    
41          title -- the title          title -- the title
# Line 83  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 93  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 101  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:
# Line 111  class Layer(BaseLayer): Line 92  class Layer(BaseLayer):
92      """      """
93    
94      def __init__(self, title, data, projection = None,      def __init__(self, title, data, projection = None,
95                   fill = Color.Transparent,                   fill = Transparent,
96                   stroke = Color.Black,                   stroke = Black,
97                   lineWidth = 1,                   lineWidth = 1,
98                   visible = True):                   visible = True):
99          """Initialize the layer.          """Initialize the layer.
# Line 122  class Layer(BaseLayer): Line 103  class Layer(BaseLayer):
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 Color.Transparent if the shapes are          fill -- the fill color or Transparent if the shapes are
107                  not filled                  not filled
108          stroke -- the stroke color or Color.Transparent if the shapes          stroke -- the stroke color or Transparent if the shapes
109                  are not stroked                  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    
         self.projection = projection  
   
         #  
         # this is really important so that when the classification class  
         # tries to set its parent layer the variable will exist  
         #  
118          self.__classification = None          self.__classification = None
119          self.__setClassLock = False          self.store = None
120    
121          self.SetShapeStore(data)          self.SetShapeStore(data)
122    
123            self.classification_column = None
124            self.SetClassificationColumn(None)
125          self.SetClassification(None)          self.SetClassification(None)
126    
127          self.__classification.SetDefaultLineColor(stroke)          self.__classification.SetDefaultLineColor(stroke)
128          self.__classification.SetDefaultLineWidth(lineWidth)          self.__classification.SetDefaultLineWidth(lineWidth)
129          self.__classification.SetDefaultFill(fill)          self.__classification.SetDefaultFill(fill)
         self.__classification.SetLayer(self)  
130    
131          self.UnsetModified()          self.UnsetModified()
132    
   
133      def SetShapeStore(self, store):      def SetShapeStore(self, store):
134          self.store = store          # Set the classification to None if there is a classification
135          self.shapefile = self.store.Shapefile()          # and the new shapestore doesn't have a table with a suitable
136          self.shapetable = self.store.Table()          # column, i.e one with the same name and type as before
137          self.filename = self.store.filename          # FIXME: Maybe we should keep it the same if the type is
138          self.table = self.shapetable          # compatible enough such as FIELDTYPE_DOUBLE and FIELDTYPE_INT
   
         numshapes, shapetype, mins, maxs = self.shapefile.info()  
         self.numshapes = numshapes  
         self.shapetype = shapelib_shapetypes[shapetype]  
   
         # if there are shapes, set the bbox accordingly. Otherwise  
         # set it to None.  
         if self.numshapes:  
             self.bbox = mins[:2] + maxs[:2]  
         else:  
             self.bbox = None  
   
         # estimate a good depth for the quad tree. Each depth  
         # multiplies the number of nodes by four, therefore we  
         # basically take the base 4 logarithm of the number of  
         # shapes.  
         if self.numshapes < 4:  
             maxdepth = 1  
         else:  
             maxdepth = int(ceil(log(self.numshapes / 4.0) / log(4)))  
   
         self.shapetree = shptree.SHPTree(self.shapefile.cobject(), 2,  
                                          maxdepth)  
139          if self.__classification is not None:          if self.__classification is not None:
140              fieldname = self.__classification.GetField()              columnname = self.classification_column
141              if fieldname is not None and \              columntype = self.GetFieldType(columnname)
142                 not self.store.Table().HasColumn(fieldname):              table = store.Table()
143                if (columnname is not None
144                    and (not table.HasColumn(columnname)
145                         or table.Column(columnname).type != columntype)):
146                  self.SetClassification(None)                  self.SetClassification(None)
147          self.changed(LAYER_CHANGED, self)  
148            self.store = store
149    
150            self.changed(LAYER_SHAPESTORE_REPLACED, self)
151    
152      def ShapeStore(self):      def ShapeStore(self):
153          return self.store          return self.store
154    
155      def Destroy(self):      def Destroy(self):
156          BaseLayer.Destroy(self)          BaseLayer.Destroy(self)
157          self.SetClassification(None)          if self.__classification is not None:
158                self.__classification.Unsubscribe(CLASS_CHANGED,
159                                                  self._classification_changed)
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          return self.bbox          return self.store.BoundingBox()
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 209  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              if self.projection is not None:          return bbox
177                  llx, lly = self.projection.Inverse(llx, lly)  
178                  urx, ury = self.projection.Inverse(urx, ury)      def Type(self):
179              return llx, lly, urx, ury          return self.ShapeType();
         else:  
             return None  
180    
181      def ShapesBoundingBox(self, shapes):      def ShapesBoundingBox(self, shapes):
182          """Return a bounding box in lat/long coordinates for the given          """Return a bounding box in lat/long coordinates for the given
# Line 227  class Layer(BaseLayer): Line 187  class Layer(BaseLayer):
187    
188          if shapes is None or len(shapes) == 0: return None          if shapes is None or len(shapes) == 0: return None
189    
190          llx = []          xs = []
191          lly = []          ys = []
         urx = []  
         ury = []  
   
         if self.projection is not None:  
             inverse = lambda x, y: self.projection.Inverse(x, y)  
         else:  
             inverse = lambda x, y: (x, y)  
192    
193          for id in shapes:          for id in shapes:
194              left, bottom, right, top = self.Shape(id).compute_bbox()              bbox = self.Shape(id).compute_bbox()
195                if self.projection is not None:
196              left, bottom = inverse(left, bottom)                  bbox = self.projection.InverseBBox(bbox)
197              right, top   = inverse(right, top)              left, bottom, right, top = bbox
198                xs.append(left); xs.append(right)
199                ys.append(bottom); ys.append(top)
200    
201              llx.append(left)          return (min(xs), min(ys), max(xs), max(ys))
             lly.append(bottom)  
             urx.append(right)  
             ury.append(top)  
202    
         return (min(llx), min(lly), max(urx), max(ury))  
203    
204      def GetFieldType(self, fieldName):      def GetFieldType(self, fieldName):
205          if self.table.HasColumn(fieldName):          if self.store:
206              return self.table.Column(fieldName).type              table = self.store.Table()
207                if table.HasColumn(fieldName):
208                    return table.Column(fieldName).type
209          return None          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          return self.numshapes          return self.store.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          return self.shapetype          return self.store.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          shape = self.shapefile.read_object(index)          return self.store.Shape(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))  
229    
230          return Shape(points)      def ShapesInRegion(self, bbox):
231            """Return an iterable over the shapes that overlap the bounding box.
232    
233      def ShapesInRegion(self, box):          The bbox parameter should be the bounding box as a tuple in the
234          """Return the ids of the shapes that overlap the box.          form (minx, miny, maxx, maxy) in unprojected coordinates.
   
         Box is a tuple (left, bottom, right, top) in unprojected coordinates.  
235          """          """
         left, bottom, right, top = box  
   
236          if self.projection is not None:          if self.projection is not None:
237              left,  bottom = self.projection.Forward(left, bottom)              # Ensure that region lies within the layer's bounding box
238              right, top    = self.projection.Forward(right, top)              # Otherwise projection of the region would lead to incorrect
239                # values.
240          return self.shapetree.find_shapes((left, bottom), (right, top))              clipbbox = self.ClipBoundingBox(bbox)
241                bbox = self.projection.ForwardBBox(clipbbox)
242      def GetProjection(self):          return self.store.ShapesInRegion(bbox)
243          return self.projection  
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            if column:
252                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 to 'clazz'          """Set the classification used by this layer to 'clazz'
268    
269          If 'clazz' is None a default classification is created          If 'clazz' is None a default classification is created.
         """  
270    
271          # prevent infinite recursion when calling SetLayer()          This issues a LAYER_CHANGED event.
272          if self.__setClassLock: return          """
273    
274          self.__setClassLock = True          if self.__classification is not None:
275                self.__classification.Unsubscribe(CLASS_CHANGED,
276                                                  self._classification_changed)
277    
278          if clazz is None:          if clazz is None:
279              if self.__classification is not None:              clazz = classification.Classification()
                 self.__classification.SetLayer(None)  
             self.__classification = classification.Classification()  
         else:  
             self.__classification = clazz  
             try:  
                 self.__classification.SetLayer(self)  
             except ValueError:  
                 self.__setClassLock = False  
                 raise ValueError  
280    
281          self.changed(LAYER_CHANGED, self)          self.__classification = clazz
282            self.__classification.Subscribe(CLASS_CHANGED,
283                                            self._classification_changed)
284    
285          self.__setClassLock = False          self._classification_changed()
286    
287      def ClassChanged(self):      def _classification_changed(self):
288          """Called from the classification object when it has changed."""          """Called from the classification object when it has changed."""
289          self.changed(LAYER_CHANGED, self)          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 346  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()])
# Line 359  class Layer(BaseLayer): Line 314  class Layer(BaseLayer):
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        MASK_NONE  = 0
348        MASK_BIT   = 1
349        MASK_ALPHA = 2
350    
351        def __init__(self, title, filename, projection = None, visible = True):
352            """Initialize the Raster Layer.
353    
354            title -- title for the layer.
355    
356            filename -- file name of the source image.
357    
358            projection -- Projection object describing the projection which
359                          the source image is in.
360    
361            visible -- True is the layer should initially be visible.
362    
363            Throws IOError if the filename is invalid or points to a file that
364            is not in a format GDAL can use.
365            """
366    
367            BaseLayer.__init__(self, title, visible = visible)
368    
369            self.projection = projection
370            self.filename = os.path.abspath(filename)
371    
372            self.bbox = -1
373    
374            self.mask_type = self.MASK_BIT
375            self.opacity = 1
376    
377            self.image_info = None
378    
379            if resource.has_gdal_support():
380                #
381                # temporarily open the file so that GDAL can test if it's valid.
382                #
383                dataset = gdal.Open(self.filename, GA_ReadOnly)
384    
385                if dataset is None:
386                    raise IOError()
387    
388                #
389                # while we have the file, extract some basic information
390                # that we can display later
391                #
392                self.image_info = {}
393    
394                self.image_info["nBands"] = dataset.RasterCount
395                self.image_info["Size"] = (dataset.RasterXSize, dataset.RasterYSize)
396                self.image_info["Driver"] = dataset.GetDriver().ShortName
397    
398                # store some information about the individual bands
399                # [min_value, max_value]
400                a = self.image_info["BandData"] = []
401    
402                for i in range(1, dataset.RasterCount+1):
403                    band = dataset.GetRasterBand(i)
404                    a.append(band.ComputeRasterMinMax())
405    
406            self.UnsetModified()
407    
408        def BoundingBox(self):
409            """Return the layer's bounding box in the intrinsic coordinate system.
410    
411            If the there is no support for images, or the file cannot
412            be read, or there is no geographics information available, return None.
413            """
414            if not resource.has_gdal_support():
415                return None
416    
417            if self.bbox == -1:
418                dataset = gdal.Open(self.filename, GA_ReadOnly)
419                if dataset is None:
420                    self.bbox = None
421                else:
422                    geotransform = dataset.GetGeoTransform()
423                    if geotransform is None:
424                        return None
425    
426                    x = 0
427                    y = dataset.RasterYSize
428                    left = geotransform[0] +        \
429                           geotransform[1] * x +    \
430                           geotransform[2] * y
431    
432                    bottom = geotransform[3] +      \
433                             geotransform[4] * x +  \
434                             geotransform[5] * y
435    
436                    x = dataset.RasterXSize
437                    y = 0
438                    right = geotransform[0] +       \
439                            geotransform[1] * x +   \
440                            geotransform[2] * y
441    
442                    top = geotransform[3] +         \
443                          geotransform[4] * x +     \
444                          geotransform[5] * y
445    
446                    self.bbox = (left, bottom, right, top)
447    
448            return self.bbox
449    
450        def LatLongBoundingBox(self):
451            bbox = self.BoundingBox()
452            if bbox is None:
453                return None
454    
455            if self.projection is not None:
456                bbox = self.projection.InverseBBox(bbox)
457    
458            return bbox
459    
460        def Type(self):
461            return "Image"
462    
463        def GetImageFilename(self):
464            return self.filename
465    
466        def MaskType(self):
467            """Return True if the mask should be used when rendering the layer."""
468            return self.mask_type
469    
470        def SetMaskType(self, type):
471            """Set the type of mask to use.
472    
473            type can be one of MASK_NONE, MASK_BIT, MASK_ALPHA
474    
475            If the state changes, a LAYER_CHANGED message is sent.
476            """
477            if type not in (self.MASK_NONE, self.MASK_BIT, self.MASK_ALPHA):
478                raise ValueError("type is invalid")
479    
480            if type != self.mask_type:
481                self.mask_type = type
482                self.changed(LAYER_CHANGED, self)
483    
484        def Opacity(self):
485            """Return the level of opacity used in alpha blending.
486            """
487            return self.opacity
488    
489        def SetOpacity(self, op):
490            """Set the level of alpha opacity.
491    
492            0 <= op <= 1.
493    
494            The layer is fully opaque when op = 1.
495            """
496            if not (0 <= op <= 1):
497                raise ValueError("op out of range")
498    
499            if op != self.opacity:
500                self.opacity = op
501                self.changed(LAYER_CHANGED, self)
502    
503        def ImageInfo(self):
504            return self.image_info
505    
506        def TreeInfo(self):
507            items = []
508    
509            items.append(_("Filename: %s") % self.GetImageFilename())
510    
511            if self.Visible():
512                items.append(_("Shown"))
513            else:
514                items.append(_("Hidden"))
515    
516            bbox = self.LatLongBoundingBox()
517            if bbox is not None:
518                items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox)
519            else:
520                items.append(_("Extent (lat-lon):"))
521    
522            if self.projection and len(self.projection.params) > 0:
523                items.append((_("Projection"),
524                            [str(param) for param in self.projection.params]))
525    
526            return (_("Layer '%s'") % self.Title(), items)
527    
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