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import resource |
import resource |
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from color import Color |
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shapetype_names = {SHAPETYPE_POINT: "Point", |
shapetype_names = {SHAPETYPE_POINT: "Point", |
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SHAPETYPE_ARC: "Arc", |
SHAPETYPE_ARC: "Arc", |
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self.issue(LAYER_VISIBILITY_CHANGED, self) |
self.issue(LAYER_VISIBILITY_CHANGED, self) |
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def HasClassification(self): |
def HasClassification(self): |
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"""Determine if this layer support classifications.""" |
"""Determine if this layer supports classifications.""" |
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return False |
return False |
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def HasShapes(self): |
def HasShapes(self): |
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return self.projection |
return self.projection |
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def SetProjection(self, projection): |
def SetProjection(self, projection): |
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"""Set the layer's projection""" |
"""Set the layer's projection.""" |
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self.projection = projection |
self.projection = projection |
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self.changed(LAYER_PROJECTION_CHANGED, self) |
self.changed(LAYER_PROJECTION_CHANGED, self) |
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def Type(self): |
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return "Unknown" |
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class Layer(BaseLayer): |
class Layer(BaseLayer): |
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"""Represent the information of one geodata file (currently a shapefile) |
"""Represent the information of one geodata file (currently a shapefile) |
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bbox = self.projection.InverseBBox(bbox) |
bbox = self.projection.InverseBBox(bbox) |
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return bbox |
return bbox |
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def Type(self): |
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return self.ShapeType(); |
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def ShapesBoundingBox(self, shapes): |
def ShapesBoundingBox(self, shapes): |
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"""Return a bounding box in lat/long coordinates for the given |
"""Return a bounding box in lat/long coordinates for the given |
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list of shape ids. |
list of shape ids. |
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368 |
self.bbox = -1 |
self.bbox = -1 |
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self.use_mask = True |
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self.image_info = None |
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if resource.has_gdal_support(): |
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. |
# temporarily open the file so that GDAL can test if it's valid. |
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if dataset is None: |
if dataset is None: |
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raise IOError() |
raise IOError() |
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# |
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# while we have the file, extract some basic information |
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# that we can display later |
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# |
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self.image_info = {} |
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self.image_info["nBands"] = dataset.RasterCount |
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self.image_info["Size"] = (dataset.RasterXSize, dataset.RasterYSize) |
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self.image_info["Driver"] = dataset.GetDriver().ShortName |
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# store some information about the individual bands |
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# [min_value, max_value] |
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a = self.image_info["BandData"] = [] |
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for i in range(1, dataset.RasterCount+1): |
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band = dataset.GetRasterBand(i) |
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a.append(band.ComputeRasterMinMax()) |
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self.UnsetModified() |
self.UnsetModified() |
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def BoundingBox(self): |
def BoundingBox(self): |
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return bbox |
return bbox |
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def Type(self): |
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return "Image" |
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def GetImageFilename(self): |
def GetImageFilename(self): |
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return self.filename |
return self.filename |
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def UseMask(self): |
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"""Return True if the mask should be used when rendering the layer.""" |
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return self.use_mask |
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def SetUseMask(self, use): |
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"""Set whether to use a mask when render the image. |
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If the state changes, a LAYER_CHANGED message is sent. |
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""" |
470 |
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if use != self.use_mask: |
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self.use_mask = use |
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self.changed(LAYER_CHANGED, self) |
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def ImageInfo(self): |
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return self.image_info |
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def TreeInfo(self): |
def TreeInfo(self): |
478 |
items = [] |
items = [] |
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