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__version__ = "$Revision$" |
__version__ = "$Revision$" |
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from math import log, ceil |
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import warnings |
import warnings |
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from Thuban import _ |
from Thuban import _ |
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import shapelib, shptree |
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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_SHAPESTORE_REPLACED, CLASS_CHANGED |
LAYER_CHANGED, LAYER_SHAPESTORE_REPLACED, CLASS_CHANGED |
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from color import Transparent, Black |
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, Shape |
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import resource |
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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SHAPETYPE_POLYGON: "Polygon"} |
SHAPETYPE_POLYGON: "Polygon"} |
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self.SetClassification(None) |
self.SetClassification(None) |
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self.store = store |
self.store = store |
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shapefile = self.store.Shapefile() |
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numshapes, shapetype, mins, maxs = 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(shapefile.cobject(), 2, |
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maxdepth) |
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self.changed(LAYER_SHAPESTORE_REPLACED, self) |
self.changed(LAYER_SHAPESTORE_REPLACED, self) |
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def ShapeStore(self): |
def ShapeStore(self): |
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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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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.store.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, box): |
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"""Return the ids of the shapes that overlap the box. |
"""Return the ids of the shapes that overlap the box. |
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left, bottom = self.projection.Forward(left, bottom) |
left, bottom = self.projection.Forward(left, bottom) |
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right, top = self.projection.Forward(right, top) |
right, top = self.projection.Forward(right, top) |
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return self.shapetree.find_shapes((left, bottom), (right, top)) |
return self.store.ShapesInRegion((left, bottom, right, top)) |
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def GetClassificationColumn(self): |
def GetClassificationColumn(self): |
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return self.classification_column |
return self.classification_column |