/[thuban]/branches/WIP-pyshapelib-bramz/Thuban/Model/classification.py
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revision 378 by jonathan, Tue Jan 28 12:13:28 2003 UTC revision 397 by jonathan, Tue Feb 11 14:23:32 2003 UTC
# Line 13  to data. This mapping can be specified i Line 13  to data. This mapping can be specified i
13  First, specific values can be associated with data.  First, specific values can be associated with data.
14  Second, ranges can be associated with data such that if  Second, ranges can be associated with data such that if
15  an input value falls with a range that data is returned.  an input value falls with a range that data is returned.
16  If no mapping can be found then a NullData data will  If no mapping can be found then default data will
17  be returned. Input values must be hashable objects  be returned. Input values must be hashable objects
18    
19  See the description of getProperties() for more information  See the description of getProperties() for more information
20  on the mapping algorithm.  on the mapping algorithm.
21  """  """
22        
23    # fix for people using python2.1
24    from __future__ import nested_scopes
25    
26    from messages import LAYER_PROJECTION_CHANGED, LAYER_LEGEND_CHANGED, \
27         LAYER_VISIBILITY_CHANGED
28    
29  from Thuban import _  from Thuban import _
30    from Thuban.Model.color import Color
31    
32    from wxPython.wx import *
33    
34  # constants  # constants
35  RANGE_MIN  = 0  RANGE_MIN  = 0
# Line 29  RANGE_DATA = 2 Line 38  RANGE_DATA = 2
38    
39  class Classification:  class Classification:
40    
41        def __init__(self, layer, field = None):
     def __init__(self, field = None):  
42          """Initialize a classification.          """Initialize a classification.
43    
44               layer -- the layer object who owns this classification
45    
46             field -- the name of the data table field that             field -- the name of the data table field that
47                      is to be used to classify layer properties                      is to be used to classify layer properties
48          """          """
49    
50            self.layer = layer
51          self.points = {}          self.points = {}
52          self.ranges = []          self.ranges = []
53          self.setField(field)          self.DefaultData = ClassData()
54          self.setNull(None)          self.field = field
55                    #self.SetField(field)
56      def setField(self, field):  
57        def SetField(self, field):
58          """Set the name of the data table field to use.          """Set the name of the data table field to use.
59                    
60             field -- if None then all values map to NullData             field -- if None then all values map to the default data
61          """          """
62    
63          self.field = field          self.field = field
64            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
65    
66      def setNull(self, data):      def GetField(self):
67            return self.field
68    
69        def SetDefaultData(self, data):
70          """Set the data to be used when a value can't be classified.          """Set the data to be used when a value can't be classified.
71    
72             data -- data that the value maps to. See class description.             data -- data that the value maps to. See class description.
73          """          """
74    
75          self.NullData = data          self.DefaultData = data
76    
77        def GetDefaultData(self):
78            return self.DefaultData
79    
80      def addRange(self, min, max, data):      def SetDefaultFill(self, fill):
81            self.DefaultData.SetFill(fill)
82            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
83            
84        def GetDefaultFill(self):
85            return self.DefaultData.GetFill()
86            
87        def SetDefaultStroke(self, stroke):
88            self.DefaultData.SetStroke(stroke)
89            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
90            
91        def GetDefaultStroke(self):
92            return self.DefaultData.GetStroke()
93            
94        def SetDefaultStrokeWidth(self, strokeWidth):
95            self.DefaultData.SetStrokeWidth(strokeWidth)
96            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
97            
98        def GetDefaultStrokeWidth(self):
99            return self.DefaultData.GetStrokeWidth()
100            
101        def AddRange(self, min, max, data):
102          """Add a new range to the classification.          """Add a new range to the classification.
103    
104             A range allows a value to be classified if it falls between             A range allows a value to be classified if it falls between
# Line 74  class Classification: Line 114  class Classification:
114          if min >= max:          if min >= max:
115              raise ValueError(_("Range minimum >= maximum!"))              raise ValueError(_("Range minimum >= maximum!"))
116          self.ranges.append([min, max, data])          self.ranges.append([min, max, data])
117            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
118    
119      def addPoint(self, value, data):      def AddPoint(self, value, data):
120          """Associate a single value with data.          """Associate a single value with data.
121    
122             When this value is to be classified data will be returned.             When this value is to be classified data will be returned.
# Line 86  class Classification: Line 127  class Classification:
127          """          """
128    
129          self.points[value] = data          self.points[value] = data
130            self.layer.changed(LAYER_LEGEND_CHANGED, self.layer)
131    
132      def getProperties(self, value):      def GetProperties(self, value):
133          """Return the associated data, or the NullData.          """Return the associated data, or the default data.
134    
135             The following search technique is used:             The following search technique is used:
136                 (1) if the field is None, return NullData                 (1) if the field is None, return the default data
137                 (2) check if the value exists as a single value                 (2) check if the value exists as a single value
138                 (3) check if the value falls within a range. Ranges                 (3) check if the value falls within a range. Ranges
139                     are checked in the order they were added to                     are checked in the order they were added to
140                     the classification.                     the classification.
141    
142             value -- the value to classify. If there is no mapping             value -- the value to classify. If there is no mapping,
143                      return the NullData (which may be None)                      or value is None, return the default data
144                        (which may be None)
145          """          """
146    
147          if self.field is not None:          if self.field is not None and value is not None:
148              #              #
149              # first check the discrete values              # first check the discrete values
150              #              #
# Line 116  class Classification: Line 159  class Classification:
159                      return p[RANGE_DATA]                      return p[RANGE_DATA]
160    
161    
162          return self.NullData          return self.DefaultData
163    
164        def TreeInfo(self):
165            items = []
166    
167            #
168            # XXX: shouldn't print anything if there are no classifications
169            #
170    
171            
172            def color_string(color):
173                if color is None:
174                    return "None"
175                return "(%.3f, %.3f, %.3f)" % (color.red, color.green, color.blue)
176    
177            def build_item(data):
178                i = []
179    
180                v = data.GetStroke()
181                i.append((_("Stroke: %s") % color_string(v), v))
182                v = data.GetStrokeWidth()
183                i.append((_("Stroke Width: %s") % v))
184                v = data.GetFill()
185                i.append((_("Fill: %s") % color_string(v), v))
186                return i
187    
188            items.append((_("'DEFAULT'"), build_item(self.DefaultData)))
189    
190            for name, data in self.points.items():
191                items.append((_("%s") % name, build_item(data)))
192    
193            for p in self.ranges:
194                data = p[RANGE_DATA]
195                items.append((_("%s-%s") % (p[RANGE_MIN], p[RANGE_MAX])),
196                             build_item(data))
197    
198            return (_("Classifications"), items)
199    
200    
201    class ClassData:
202    
203        def __init__(self):
204            self.stroke = None
205            self.stroke_width = 0
206            self.fill = None
207            self.label = ""
208        
209        def GetStroke(self):
210            return self.stroke
211    
212        def SetStroke(self, stroke):
213            self.stroke = stroke
214    
215        def GetStrokeWidth(self):
216            return self.stroke_width
217    
218        def SetStrokeWidth(self, stroke_width):
219            self.stroke_width = stroke_width
220    
221        def GetFill(self):
222            return self.fill
223    
224        def SetFill(self, fill):
225            self.fill = fill
226    
227        def GetLabel(self):
228            return self.label
229    
230        def SetLabel(self, label):
231            self.label = label
232    
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