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# Copyright (c) 2001, 2002, 2003, 2004 by Intevation GmbH |
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# Authors: |
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# Bernhard Herzog <[email protected]> |
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# Jonathan Coles <[email protected]> |
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# Silke Reimer <[email protected]> |
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# |
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# This program is free software under the GPL (>=v2) |
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# Read the file COPYING coming with Thuban for details. |
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|
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__version__ = "$Revision$" |
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|
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import os |
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import warnings |
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|
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from Thuban import _ |
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|
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from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \ |
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LAYER_CHANGED, LAYER_SHAPESTORE_REPLACED, CLASS_CHANGED |
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|
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import classification |
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|
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from color import Transparent, Black |
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from base import TitledObject, Modifiable |
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from data import SHAPETYPE_POLYGON, SHAPETYPE_ARC, SHAPETYPE_POINT |
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|
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import resource |
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|
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|
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shapetype_names = {SHAPETYPE_POINT: "Point", |
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SHAPETYPE_ARC: "Arc", |
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SHAPETYPE_POLYGON: "Polygon"} |
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|
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class BaseLayer(TitledObject, Modifiable): |
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|
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"""Base class for the layers.""" |
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|
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def __init__(self, title, visible = True, projection = None): |
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"""Initialize the layer. |
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|
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title -- the title |
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visible -- boolean. If true the layer is visible. |
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""" |
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TitledObject.__init__(self, title) |
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Modifiable.__init__(self) |
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self.visible = visible |
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self.projection = projection |
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|
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def Visible(self): |
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"""Return true if layer is visible""" |
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return self.visible |
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|
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def SetVisible(self, visible): |
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"""Set the layer's visibility.""" |
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self.visible = visible |
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self.issue(LAYER_VISIBILITY_CHANGED, self) |
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|
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def HasClassification(self): |
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"""Determine if this layer supports classifications.""" |
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return False |
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|
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def HasShapes(self): |
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"""Determine if this layer supports shapes.""" |
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return False |
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|
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def GetProjection(self): |
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"""Return the layer's projection.""" |
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return self.projection |
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|
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def SetProjection(self, projection): |
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"""Set the layer's projection.""" |
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self.projection = projection |
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self.changed(LAYER_PROJECTION_CHANGED, self) |
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|
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class Layer(BaseLayer): |
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|
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"""Represent the information of one geodata file (currently a shapefile) |
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|
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All children of the layer have the same type. |
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|
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A layer has fill and stroke colors. Colors should be instances of |
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Color. They can also be Transparent, indicating no fill or no stroke. |
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|
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The layer objects send the following events, all of which have the |
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layer object as parameter: |
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|
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TITLE_CHANGED -- The title has changed. |
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LAYER_PROJECTION_CHANGED -- the projection has changed. |
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""" |
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|
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def __init__(self, title, data, projection = None, |
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fill = Transparent, |
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stroke = Black, |
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lineWidth = 1, |
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visible = True): |
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"""Initialize the layer. |
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|
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title -- the title |
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data -- datastore object for the shape data shown by the layer |
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projection -- the projection object. Its Inverse method is |
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assumed to map the layer's coordinates to lat/long |
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coordinates |
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fill -- the fill color or Transparent if the shapes are |
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not filled |
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stroke -- the stroke color or Transparent if the shapes |
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are not stroked |
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visible -- boolean. If true the layer is visible. |
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|
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colors are expected to be instances of Color class |
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""" |
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BaseLayer.__init__(self, title, |
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visible = visible, |
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projection = projection) |
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|
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self.__classification = None |
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self.store = None |
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|
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self.SetShapeStore(data) |
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|
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self.classification_column = None |
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self.SetClassificationColumn(None) |
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self.SetClassification(None) |
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|
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self.__classification.SetDefaultLineColor(stroke) |
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self.__classification.SetDefaultLineWidth(lineWidth) |
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self.__classification.SetDefaultFill(fill) |
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|
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self.UnsetModified() |
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|
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def SetShapeStore(self, store): |
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# Set the classification to None if there is a classification |
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# and the new shapestore doesn't have a table with a suitable |
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# column, i.e one with the same name and type as before |
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# FIXME: Maybe we should keep it the same if the type is |
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# compatible enough such as FIELDTYPE_DOUBLE and FIELDTYPE_INT |
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if self.__classification is not None: |
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columnname = self.classification_column |
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columntype = self.GetFieldType(columnname) |
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table = store.Table() |
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if (columnname is not None |
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and (not table.HasColumn(columnname) |
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or table.Column(columnname).type != columntype)): |
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self.SetClassification(None) |
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|
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self.store = store |
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|
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self.changed(LAYER_SHAPESTORE_REPLACED, self) |
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|
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def ShapeStore(self): |
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return self.store |
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|
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def Destroy(self): |
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BaseLayer.Destroy(self) |
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if self.__classification is not None: |
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self.__classification.Unsubscribe(CLASS_CHANGED, |
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self._classification_changed) |
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|
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def BoundingBox(self): |
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"""Return the layer's bounding box in the intrinsic coordinate system. |
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|
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If the layer has no shapes, return None. |
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""" |
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return self.store.BoundingBox() |
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|
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def LatLongBoundingBox(self): |
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"""Return the layer's bounding box in lat/long coordinates. |
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|
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Return None, if the layer doesn't contain any shapes. |
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""" |
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bbox = self.BoundingBox() |
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if bbox is not None and self.projection is not None: |
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bbox = self.projection.InverseBBox(bbox) |
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return bbox |
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|
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def ShapesBoundingBox(self, shapes): |
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"""Return a bounding box in lat/long coordinates for the given |
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list of shape ids. |
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|
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If shapes is None or empty, return None. |
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""" |
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|
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if shapes is None or len(shapes) == 0: return None |
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|
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xs = [] |
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ys = [] |
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|
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for id in shapes: |
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bbox = self.Shape(id).compute_bbox() |
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if self.projection is not None: |
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bbox = self.projection.InverseBBox(bbox) |
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left, bottom, right, top = bbox |
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xs.append(left); xs.append(right) |
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ys.append(bottom); ys.append(top) |
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|
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return (min(xs), min(ys), max(xs), max(ys)) |
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|
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|
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def GetFieldType(self, fieldName): |
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if self.store: |
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table = self.store.Table() |
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if table.HasColumn(fieldName): |
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return table.Column(fieldName).type |
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return None |
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|
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def HasShapes(self): |
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return True |
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|
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def NumShapes(self): |
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"""Return the number of shapes in the layer""" |
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return self.store.NumShapes() |
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|
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def ShapeType(self): |
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"""Return the type of the shapes in the layer. |
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|
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The return value is one of the SHAPETYPE_* constants defined in |
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Thuban.Model.data. |
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""" |
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return self.store.ShapeType() |
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|
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def Shape(self, index): |
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"""Return the shape with index index""" |
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return self.store.Shape(index) |
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|
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def ShapesInRegion(self, bbox): |
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"""Return an iterable over the shapes that overlap the bounding box. |
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|
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The bbox parameter should be the bounding box as a tuple in the |
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form (minx, miny, maxx, maxy) in unprojected coordinates. |
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""" |
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if self.projection is not None: |
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# Ensure that region lies within the layer's bounding box |
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# Otherwise projection of the region would lead to incorrect |
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# values. |
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clipbbox = self.ClipBoundingBox(bbox) |
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bbox = self.projection.ForwardBBox(clipbbox) |
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return self.store.ShapesInRegion(bbox) |
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|
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def GetClassificationColumn(self): |
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return self.classification_column |
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|
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def SetClassificationColumn(self, column): |
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"""Set the column to classifiy on, or None. If column is not None |
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and the column does not exist in the table, raise a ValueError. |
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""" |
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if column: |
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columnType = self.GetFieldType(column) |
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if columnType is None: |
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raise ValueError() |
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changed = self.classification_column != column |
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self.classification_column = column |
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if changed: |
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self.changed(LAYER_CHANGED, self) |
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|
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def HasClassification(self): |
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return True |
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|
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def GetClassification(self): |
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return self.__classification |
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|
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def SetClassification(self, clazz): |
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"""Set the classification used by this layer to 'clazz' |
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|
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If 'clazz' is None a default classification is created. |
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|
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This issues a LAYER_CHANGED event. |
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""" |
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|
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if self.__classification is not None: |
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self.__classification.Unsubscribe(CLASS_CHANGED, |
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self._classification_changed) |
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|
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if clazz is None: |
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clazz = classification.Classification() |
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|
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self.__classification = clazz |
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self.__classification.Subscribe(CLASS_CHANGED, |
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self._classification_changed) |
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|
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self._classification_changed() |
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|
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def _classification_changed(self): |
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"""Called from the classification object when it has changed.""" |
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self.changed(LAYER_CHANGED, self) |
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|
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def TreeInfo(self): |
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items = [] |
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|
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items.append(_("Filename: %s") % self.ShapeStore().FileName()) |
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|
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if self.Visible(): |
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items.append(_("Shown")) |
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else: |
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items.append(_("Hidden")) |
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items.append(_("Shapes: %d") % self.NumShapes()) |
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|
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bbox = self.LatLongBoundingBox() |
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if bbox is not None: |
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items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % tuple(bbox)) |
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else: |
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items.append(_("Extent (lat-lon):")) |
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items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()]) |
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|
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if self.projection and len(self.projection.params) > 0: |
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items.append((_("Projection"), |
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[str(param) for param in self.projection.params])) |
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|
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items.append(self.__classification) |
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|
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return (_("Layer '%s'") % self.Title(), items) |
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|
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def ClipBoundingBox(self, bbox): |
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""" Clip bbox to layer's bounding box. |
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|
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Returns that part of bbox that lies within the layers bounding box. |
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If bbox is completely outside of the layers bounding box, bbox is |
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returned. It is assumed that bbox has sensible values, i.e. bminx |
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< bmaxx and bminy < bmaxy. |
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""" |
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bminx, bminy, bmaxx, bmaxy = bbox |
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lminx, lminy, lmaxx, lmaxy = self.LatLongBoundingBox() |
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if bminx > lmaxx or bmaxx < lminx: |
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left, right = bminx, bmaxx |
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else: |
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left = max(lminx, bminx) |
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right = min(lmaxx, bmaxx) |
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if bminy > lmaxy or bmaxy < lminy: |
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bottom, top = bminy, bmaxy |
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else: |
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bottom = max(lminy, bminy) |
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top = min(lmaxy, bmaxy) |
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|
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return (left, bottom, right, top) |
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|
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|
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if resource.has_gdal_support(): |
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import gdal |
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from gdalconst import GA_ReadOnly |
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|
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class RasterLayer(BaseLayer): |
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|
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def __init__(self, title, filename, projection = None, visible = True): |
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"""Initialize the Raster Layer. |
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|
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title -- title for the layer. |
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|
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filename -- file name of the source image. |
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|
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projection -- Projection object describing the projection which |
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the source image is in. |
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|
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visible -- True is the layer should initially be visible. |
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|
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Throws IOError if the filename is invalid or points to a file that |
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is not in a format GDAL can use. |
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""" |
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|
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BaseLayer.__init__(self, title, visible = visible) |
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|
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self.projection = projection |
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self.filename = os.path.abspath(filename) |
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|
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self.bbox = -1 |
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|
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if resource.has_gdal_support(): |
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# |
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# temporarily open the file so that GDAL can test if it's valid. |
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# |
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dataset = gdal.Open(self.filename, GA_ReadOnly) |
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|
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if dataset is None: |
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raise IOError() |
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|
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self.UnsetModified() |
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|
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def BoundingBox(self): |
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"""Return the layer's bounding box in the intrinsic coordinate system. |
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|
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If the there is no support for images, or the file cannot |
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be read, or there is no geographics information available, return None. |
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""" |
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if not resource.has_gdal_support(): |
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return None |
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|
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if self.bbox == -1: |
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dataset = gdal.Open(self.filename, GA_ReadOnly) |
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if dataset is None: |
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self.bbox = None |
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else: |
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geotransform = dataset.GetGeoTransform() |
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if geotransform is None: |
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return None |
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|
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x = 0 |
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y = dataset.RasterYSize |
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left = geotransform[0] + \ |
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geotransform[1] * x + \ |
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geotransform[2] * y |
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|
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bottom = geotransform[3] + \ |
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geotransform[4] * x + \ |
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geotransform[5] * y |
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|
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x = dataset.RasterXSize |
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y = 0 |
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right = geotransform[0] + \ |
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geotransform[1] * x + \ |
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geotransform[2] * y |
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|
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top = geotransform[3] + \ |
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geotransform[4] * x + \ |
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geotransform[5] * y |
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|
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self.bbox = (left, bottom, right, top) |
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|
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return self.bbox |
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|
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def LatLongBoundingBox(self): |
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bbox = self.BoundingBox() |
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if bbox is None: |
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return None |
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|
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if self.projection is not None: |
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bbox = self.projection.InverseBBox(bbox) |
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|
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return bbox |
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|
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def GetImageFilename(self): |
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return self.filename |
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|
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def TreeInfo(self): |
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items = [] |
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|
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items.append(_("Filename: %s") % self.GetImageFilename()) |
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|
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if self.Visible(): |
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items.append(_("Shown")) |
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else: |
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items.append(_("Hidden")) |
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|
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bbox = self.LatLongBoundingBox() |
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if bbox is not None: |
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items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox) |
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else: |
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items.append(_("Extent (lat-lon):")) |
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|
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if self.projection and len(self.projection.params) > 0: |
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items.append((_("Projection"), |
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[str(param) for param in self.projection.params])) |
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|
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return (_("Layer '%s'") % self.Title(), items) |
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|
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