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__version__ = "$Revision$" |
__version__ = "$Revision$" |
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from math import log, ceil |
import os |
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import warnings |
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from Thuban import _ |
from Thuban import _ |
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import shapelib, shptree |
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import gdal |
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from gdalconst import GA_ReadOnly |
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from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \ |
from messages import LAYER_PROJECTION_CHANGED, LAYER_VISIBILITY_CHANGED, \ |
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LAYER_CHANGED |
LAYER_CHANGED, LAYER_SHAPESTORE_REPLACED, CLASS_CHANGED |
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from color import Color |
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import classification |
import classification |
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from color import Transparent, Black |
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from base import TitledObject, Modifiable |
from base import TitledObject, Modifiable |
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from data import SHAPETYPE_POLYGON, SHAPETYPE_ARC, SHAPETYPE_POINT |
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import resource |
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class Shape: |
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"""Represent one shape""" |
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def __init__(self, points): |
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self.points = points |
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#self.compute_bbox() |
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self.bbox = None |
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def compute_bbox(self): |
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if self.bbox is not None: |
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return self.bbox |
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xs = [] |
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ys = [] |
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for x, y in self.points: |
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xs.append(x) |
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ys.append(y) |
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self.llx = min(xs) |
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self.lly = min(ys) |
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self.urx = max(xs) |
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self.ury = max(ys) |
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self.bbox = (self.llx, self.lly, self.urx, self.ury) |
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return self.bbox |
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def Points(self): |
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return self.points |
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# Shape type constants |
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SHAPETYPE_POLYGON = "polygon" |
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SHAPETYPE_ARC = "arc" |
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SHAPETYPE_POINT = "point" |
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# mapping from shapelib shapetype constants to our constants |
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shapelib_shapetypes = {shapelib.SHPT_POLYGON: SHAPETYPE_POLYGON, |
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shapelib.SHPT_ARC: SHAPETYPE_ARC, |
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shapelib.SHPT_POINT: SHAPETYPE_POINT} |
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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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"""Determine if this layer support classifications.""" |
"""Determine if this layer support classifications.""" |
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return False |
return False |
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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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def GetProjection(self): |
def GetProjection(self): |
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"""Return the layer's projection.""" |
"""Return the layer's projection.""" |
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return self.projection |
return self.projection |
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All children of the layer have the same type. |
All children of the layer have the same type. |
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A layer has fill and stroke colors. Colors should be instances of |
A layer has fill and stroke colors. Colors should be instances of |
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Color. They can also be None, indicating no fill or no stroke. |
Color. They can also be Transparent, indicating no fill or no stroke. |
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The layer objects send the following events, all of which have the |
The layer objects send the following events, all of which have the |
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layer object as parameter: |
layer object as parameter: |
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""" |
""" |
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def __init__(self, title, data, projection = None, |
def __init__(self, title, data, projection = None, |
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fill = Color.Transparent, |
fill = Transparent, |
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stroke = Color.Black, |
stroke = Black, |
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lineWidth = 1, |
lineWidth = 1, |
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visible = True): |
visible = True): |
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"""Initialize the layer. |
"""Initialize the layer. |
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projection -- the projection object. Its Inverse method is |
projection -- the projection object. Its Inverse method is |
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assumed to map the layer's coordinates to lat/long |
assumed to map the layer's coordinates to lat/long |
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coordinates |
coordinates |
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fill -- the fill color or Color.Transparent if the shapes are |
fill -- the fill color or Transparent if the shapes are |
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not filled |
not filled |
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stroke -- the stroke color or Color.Transparent if the shapes |
stroke -- the stroke color or Transparent if the shapes |
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are not stroked |
are not stroked |
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visible -- boolean. If true the layer is visible. |
visible -- boolean. If true the layer is visible. |
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visible = visible, |
visible = visible, |
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projection = projection) |
projection = projection) |
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# |
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# this is really important so that when the classification class |
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# tries to set its parent layer the variable will exist |
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# |
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self.__classification = None |
self.__classification = None |
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self.__setClassLock = False |
self.store = None |
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self.SetShapeStore(data) |
self.SetShapeStore(data) |
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self.classification_column = None |
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self.SetClassificationColumn(None) |
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self.SetClassification(None) |
self.SetClassification(None) |
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self.__classification.SetDefaultLineColor(stroke) |
self.__classification.SetDefaultLineColor(stroke) |
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self.__classification.SetDefaultLineWidth(lineWidth) |
self.__classification.SetDefaultLineWidth(lineWidth) |
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self.__classification.SetDefaultFill(fill) |
self.__classification.SetDefaultFill(fill) |
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self.__classification.SetLayer(self) |
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self.UnsetModified() |
self.UnsetModified() |
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def SetShapeStore(self, store): |
def SetShapeStore(self, store): |
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self.store = store |
# Set the classification to None if there is a classification |
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self.shapefile = self.store.Shapefile() |
# and the new shapestore doesn't have a table with a suitable |
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self.shapetable = self.store.Table() |
# column, i.e one with the same name and type as before |
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self.filename = self.store.filename |
# FIXME: Maybe we should keep it the same if the type is |
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self.table = self.shapetable |
# compatible enough such as FIELDTYPE_DOUBLE and FIELDTYPE_INT |
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numshapes, shapetype, mins, maxs = self.shapefile.info() |
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self.numshapes = numshapes |
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self.shapetype = shapelib_shapetypes[shapetype] |
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# if there are shapes, set the bbox accordingly. Otherwise |
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# set it to None. |
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if self.numshapes: |
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self.bbox = mins[:2] + maxs[:2] |
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else: |
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self.bbox = None |
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# estimate a good depth for the quad tree. Each depth |
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# multiplies the number of nodes by four, therefore we |
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# basically take the base 4 logarithm of the number of |
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# shapes. |
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if self.numshapes < 4: |
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maxdepth = 1 |
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else: |
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maxdepth = int(ceil(log(self.numshapes / 4.0) / log(4))) |
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self.shapetree = shptree.SHPTree(self.shapefile.cobject(), 2, |
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maxdepth) |
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if self.__classification is not None: |
if self.__classification is not None: |
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fieldname = self.__classification.GetField() |
columnname = self.classification_column |
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if fieldname is not None and \ |
columntype = self.GetFieldType(columnname) |
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not self.store.Table().HasColumn(fieldname): |
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) |
self.SetClassification(None) |
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self.changed(LAYER_CHANGED, self) |
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self.store = store |
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self.changed(LAYER_SHAPESTORE_REPLACED, self) |
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def ShapeStore(self): |
def ShapeStore(self): |
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return self.store |
return self.store |
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def Destroy(self): |
def Destroy(self): |
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BaseLayer.Destroy(self) |
BaseLayer.Destroy(self) |
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self.SetClassification(None) |
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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def BoundingBox(self): |
def BoundingBox(self): |
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"""Return the layer's bounding box in the intrinsic coordinate system. |
"""Return the layer's bounding box in the intrinsic coordinate system. |
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If the layer has no shapes, return None. |
If the layer has no shapes, return None. |
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""" |
""" |
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return self.bbox |
return self.store.BoundingBox() |
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def LatLongBoundingBox(self): |
def LatLongBoundingBox(self): |
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"""Return the layer's bounding box in lat/long coordinates. |
"""Return the layer's bounding box in lat/long coordinates. |
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return (min(llx), min(lly), max(urx), max(ury)) |
return (min(llx), min(lly), max(urx), max(ury)) |
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def GetFieldType(self, fieldName): |
def GetFieldType(self, fieldName): |
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if self.table.HasColumn(fieldName): |
if self.store: |
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return self.table.Column(fieldName).type |
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 |
return None |
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def HasShapes(self): |
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return True |
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def NumShapes(self): |
def NumShapes(self): |
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"""Return the number of shapes in the layer""" |
"""Return the number of shapes in the layer""" |
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return self.numshapes |
return self.store.NumShapes() |
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def ShapeType(self): |
def ShapeType(self): |
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"""Return the type of the shapes in the layer. |
"""Return the type of the shapes in the layer. |
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This is either SHAPETYPE_POINT, SHAPETYPE_ARC or SHAPETYPE_POLYGON. |
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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.shapetype |
return self.store.ShapeType() |
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def Shape(self, index): |
def Shape(self, index): |
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"""Return the shape with index index""" |
"""Return the shape with index index""" |
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shape = self.shapefile.read_object(index) |
return self.store.Shape(index) |
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if self.shapetype == SHAPETYPE_POINT: |
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points = shape.vertices() |
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else: |
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#for poly in shape.vertices(): |
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poly = shape.vertices()[0] |
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points = [] |
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for x, y in poly: |
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points.append((x, y)) |
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return Shape(points) |
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def ShapesInRegion(self, box): |
def ShapesInRegion(self, bbox): |
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"""Return the ids of the shapes that overlap the box. |
"""Return an iterable over the shapes that overlap the bounding box. |
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Box is a tuple (left, bottom, right, top) in unprojected coordinates. |
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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left, bottom, right, top = box |
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if self.projection is not None: |
if self.projection is not None: |
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left, bottom = self.projection.Forward(left, bottom) |
left, bottom, right, top = bbox |
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right, top = self.projection.Forward(right, top) |
xs = []; ys = [] |
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for x, y in [(left, bottom), (left, top), (right, top), |
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return self.shapetree.find_shapes((left, bottom), (right, top)) |
(right, bottom)]: |
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x, y = self.projection.Forward(x, y) |
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xs.append(x) |
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ys.append(y) |
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bbox = (min(xs), min(ys), max(xs), max(ys)) |
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return self.store.ShapesInRegion(bbox) |
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def GetClassificationColumn(self): |
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return self.classification_column |
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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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def HasClassification(self): |
def HasClassification(self): |
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return True |
return True |
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return self.__classification |
return self.__classification |
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def SetClassification(self, clazz): |
def SetClassification(self, clazz): |
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"""Set the classification to 'clazz' |
"""Set the classification used by this layer to 'clazz' |
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If 'clazz' is None a default classification is created |
If 'clazz' is None a default classification is created. |
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""" |
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# prevent infinite recursion when calling SetLayer() |
This issues a LAYER_CHANGED event. |
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if self.__setClassLock: return |
""" |
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self.__setClassLock = True |
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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if clazz is None: |
if clazz is None: |
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if self.__classification is not None: |
clazz = classification.Classification() |
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self.__classification.SetLayer(None) |
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self.__classification = classification.Classification() |
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else: |
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self.__classification = clazz |
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try: |
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self.__classification.SetLayer(self) |
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except ValueError: |
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self.__setClassLock = False |
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raise ValueError |
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self.changed(LAYER_CHANGED, self) |
self.__classification = clazz |
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self.__classification.Subscribe(CLASS_CHANGED, |
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self._classification_changed) |
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self.__setClassLock = False |
self._classification_changed() |
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def ClassChanged(self): |
def _classification_changed(self): |
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"""Called from the classification object when it has changed.""" |
"""Called from the classification object when it has changed.""" |
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self.changed(LAYER_CHANGED, self) |
self.changed(LAYER_CHANGED, self) |
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def TreeInfo(self): |
def TreeInfo(self): |
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items = [] |
items = [] |
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items.append(_("Filename: %s") % self.ShapeStore().FileName()) |
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if self.Visible(): |
if self.Visible(): |
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items.append(_("Shown")) |
items.append(_("Shown")) |
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else: |
else: |
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return (_("Layer '%s'") % self.Title(), items) |
return (_("Layer '%s'") % self.Title(), items) |
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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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class RasterLayer(BaseLayer): |
class RasterLayer(BaseLayer): |
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def __init__(self, title, filename, projection = None, visible = True): |
def __init__(self, title, filename, projection = None, visible = True): |
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the source image is in. |
the source image is in. |
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visible -- True is the layer should initially be visible. |
visible -- True is the layer should initially be visible. |
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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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BaseLayer.__init__(self, title, visible = visible) |
BaseLayer.__init__(self, title, visible = visible) |
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self.projection = projection |
self.projection = projection |
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self.filename = filename |
self.filename = os.path.abspath(filename) |
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self.bbox = -1 |
self.bbox = -1 |
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self.UnsetModified() |
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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if dataset is None: |
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raise IOError() |
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self.UnsetModified() |
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def BoundingBox(self): |
def BoundingBox(self): |
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"""Return the layer's bounding box in the intrinsic coordinate system. |
"""Return the layer's bounding box in the intrinsic coordinate system. |
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If the layer has no shapes, return None. |
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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if self.bbox == -1: |
if self.bbox == -1: |
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dataset = gdal.Open(self.filename, GA_ReadOnly) |
dataset = gdal.Open(self.filename, GA_ReadOnly) |
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if dataset is None: |
if dataset is None: |
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self.bbox = None |
self.bbox = None |
381 |
else: |
else: |
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left, bottom = self.__CalcCorner(dataset, |
geotransform = dataset.GetGeoTransform() |
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0, dataset.RasterYSize) |
if geotransform is None: |
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right, top = self.__CalcCorner(dataset, |
return None |
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dataset.RasterXSize, 0) |
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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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bottom = geotransform[3] + \ |
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geotransform[4] * x + \ |
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geotransform[5] * y |
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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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top = geotransform[3] + \ |
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geotransform[4] * x + \ |
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geotransform[5] * y |
405 |
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self.bbox = (left, bottom, right, top) |
self.bbox = (left, bottom, right, top) |
407 |
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return self.bbox |
return self.bbox |
409 |
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def __CalcCorner(self, dataset, x, y): |
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geotransform = dataset.GetGeoTransform() |
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return geotransform[0] + geotransform[1] * x + geotransform[2] * y, \ |
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geotransform[3] + geotransform[4] * x + geotransform[5] * y |
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410 |
def LatLongBoundingBox(self): |
def LatLongBoundingBox(self): |
411 |
bbox = self.BoundingBox() |
bbox = self.BoundingBox() |
412 |
if bbox is not None: |
if bbox is None: |
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llx, lly, urx, ury = bbox |
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if self.projection is not None: |
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llx, lly = self.projection.Inverse(llx, lly) |
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urx, ury = self.projection.Inverse(urx, ury) |
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return llx, lly, urx, ury |
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else: |
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413 |
return None |
return None |
414 |
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415 |
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llx, lly, urx, ury = bbox |
416 |
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if self.projection is not None: |
417 |
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llx, lly = self.projection.Inverse(llx, lly) |
418 |
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urx, ury = self.projection.Inverse(urx, ury) |
419 |
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return llx, lly, urx, ury |
421 |
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422 |
def GetImageFilename(self): |
def GetImageFilename(self): |
423 |
return self.filename |
return self.filename |
424 |
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425 |
def TreeInfo(self): |
def TreeInfo(self): |
426 |
items = [] |
items = [] |
427 |
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428 |
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items.append(_("Filename: %s") % self.GetImageFilename()) |
429 |
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430 |
if self.Visible(): |
if self.Visible(): |
431 |
items.append(_("Shown")) |
items.append(_("Shown")) |
432 |
else: |
else: |
433 |
items.append(_("Hidden")) |
items.append(_("Hidden")) |
|
items.append(_("Shapes: %d") % self.NumShapes()) |
|
434 |
|
|
435 |
bbox = self.LatLongBoundingBox() |
bbox = self.LatLongBoundingBox() |
436 |
if bbox is not None: |
if bbox is not None: |