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# Copyright (c) 2001, 2002, 2003 by Intevation GmbH |
# Copyright (c) 2001, 2002, 2003, 2004 by Intevation GmbH |
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# Authors: |
# Authors: |
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# Bernhard Herzog <[email protected]> |
# Bernhard Herzog <[email protected]> |
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# Jonathan Coles <[email protected]> |
# 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) |
# This program is free software under the GPL (>=v2) |
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# Read the file COPYING coming with Thuban for details. |
# Read the file COPYING coming with Thuban for details. |
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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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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: |
from color import Color |
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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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def compute_bbox(self): |
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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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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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"""Base class for the layers.""" |
"""Base class for the layers.""" |
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def __init__(self, title, visible = True): |
def __init__(self, title, visible = True, projection = None): |
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"""Initialize the layer. |
"""Initialize the layer. |
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title -- the title |
title -- the title |
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TitledObject.__init__(self, title) |
TitledObject.__init__(self, title) |
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Modifiable.__init__(self) |
Modifiable.__init__(self) |
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self.visible = visible |
self.visible = visible |
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self.projection = projection |
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def Visible(self): |
def Visible(self): |
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"""Return true if layer is visible""" |
"""Return true if layer is visible""" |
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self.visible = visible |
self.visible = visible |
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self.issue(LAYER_VISIBILITY_CHANGED, self) |
self.issue(LAYER_VISIBILITY_CHANGED, self) |
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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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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): |
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"""Return the layer's projection.""" |
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return self.projection |
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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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def Type(self): |
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return "Unknown" |
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class Layer(BaseLayer): |
class Layer(BaseLayer): |
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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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colors are expected to be instances of Color class |
colors are expected to be instances of Color class |
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""" |
""" |
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BaseLayer.__init__(self, title, visible = visible) |
BaseLayer.__init__(self, title, |
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visible = visible, |
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self.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().field_info_by_name(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 None, if the layer doesn't contain any shapes. |
Return None, if the layer doesn't contain any shapes. |
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""" |
""" |
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bbox = self.BoundingBox() |
bbox = self.BoundingBox() |
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if bbox is not None: |
if bbox is not None and self.projection is not None: |
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llx, lly, urx, ury = bbox |
bbox = self.projection.InverseBBox(bbox) |
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return bbox |
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def Type(self): |
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return self.ShapeType(); |
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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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If shapes is None or empty, return None. |
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""" |
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if shapes is None or len(shapes) == 0: return None |
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xs = [] |
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ys = [] |
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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: |
if self.projection is not None: |
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llx, lly = self.projection.Inverse(llx, lly) |
bbox = self.projection.InverseBBox(bbox) |
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urx, ury = self.projection.Inverse(urx, ury) |
left, bottom, right, top = bbox |
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return llx, lly, urx, ury |
xs.append(left); xs.append(right) |
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else: |
ys.append(bottom); ys.append(top) |
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return None |
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return (min(xs), min(ys), max(xs), max(ys)) |
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def GetFieldType(self, fieldName): |
def GetFieldType(self, fieldName): |
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info = self.table.field_info_by_name(fieldName) |
if self.store: |
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if info is not None: |
table = self.store.Table() |
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return info[0] |
if table.HasColumn(fieldName): |
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else: |
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) |
def ShapesInRegion(self, bbox): |
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"""Return an iterable over the shapes that overlap the bounding box. |
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def ShapesInRegion(self, box): |
The bbox parameter should be the bounding box as a tuple in the |
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"""Return the ids of the shapes that overlap the box. |
form (minx, miny, maxx, maxy) in unprojected coordinates. |
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Box is a tuple (left, bottom, right, top) 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) |
# Ensure that region lies within the layer's bounding box |
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right, top = self.projection.Forward(right, top) |
# Otherwise projection of the region would lead to incorrect |
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# values. |
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return self.shapetree.find_shapes((left, bottom), (right, top)) |
clipbbox = self.ClipBoundingBox(bbox) |
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bbox = self.projection.ForwardBBox(clipbbox) |
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def GetProjection(self): |
return self.store.ShapesInRegion(bbox) |
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return self.projection |
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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 SetProjection(self, projection): |
def HasClassification(self): |
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"""Set the layer's projection""" |
return True |
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self.projection = projection |
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self.changed(LAYER_PROJECTION_CHANGED, self) |
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def GetClassification(self): |
def GetClassification(self): |
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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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bbox = self.LatLongBoundingBox() |
bbox = self.LatLongBoundingBox() |
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if bbox is not None: |
if bbox is not None: |
304 |
items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox) |
items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % tuple(bbox)) |
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else: |
else: |
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items.append(_("Extent (lat-lon):")) |
items.append(_("Extent (lat-lon):")) |
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items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()]) |
items.append(_("Shapetype: %s") % shapetype_names[self.ShapeType()]) |
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return (_("Layer '%s'") % self.Title(), items) |
return (_("Layer '%s'") % self.Title(), items) |
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def ClipBoundingBox(self, bbox): |
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""" Clip bbox to layer's bounding box. |
319 |
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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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return (left, bottom, right, top) |
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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): |
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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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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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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) |
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self.projection = projection |
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self.filename = os.path.abspath(filename) |
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self.bbox = -1 |
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self.use_mask = False |
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self.image_info = None |
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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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# |
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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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|
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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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|
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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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|
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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()) |
400 |
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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) |
414 |
|
if dataset is None: |
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self.bbox = None |
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else: |
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geotransform = dataset.GetGeoTransform() |
418 |
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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] + \ |
424 |
|
geotransform[1] * x + \ |
425 |
|
geotransform[2] * y |
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|
|
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|
bottom = geotransform[3] + \ |
428 |
|
geotransform[4] * x + \ |
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|
geotransform[5] * y |
430 |
|
|
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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 + \ |
435 |
|
geotransform[2] * y |
436 |
|
|
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|
top = geotransform[3] + \ |
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|
geotransform[4] * x + \ |
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|
geotransform[5] * y |
440 |
|
|
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|
self.bbox = (left, bottom, right, top) |
442 |
|
|
443 |
|
return self.bbox |
444 |
|
|
445 |
|
def LatLongBoundingBox(self): |
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|
bbox = self.BoundingBox() |
447 |
|
if bbox is None: |
448 |
|
return None |
449 |
|
|
450 |
|
if self.projection is not None: |
451 |
|
bbox = self.projection.InverseBBox(bbox) |
452 |
|
|
453 |
|
return bbox |
454 |
|
|
455 |
|
def Type(self): |
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|
return "Image" |
457 |
|
|
458 |
|
def GetImageFilename(self): |
459 |
|
return self.filename |
460 |
|
|
461 |
|
def UseMask(self): |
462 |
|
"""Return True if the mask should be used when rendering the layer.""" |
463 |
|
return self.use_mask |
464 |
|
|
465 |
|
def SetUseMask(self, use): |
466 |
|
"""Set whether to use a mask when render the image. |
467 |
|
|
468 |
|
If the state changes, a LAYER_CHANGED message is sent. |
469 |
|
""" |
470 |
|
if use != self.use_mask: |
471 |
|
self.use_mask = use |
472 |
|
self.changed(LAYER_CHANGED, self) |
473 |
|
|
474 |
|
def ImageInfo(self): |
475 |
|
return self.image_info |
476 |
|
|
477 |
|
def TreeInfo(self): |
478 |
|
items = [] |
479 |
|
|
480 |
|
items.append(_("Filename: %s") % self.GetImageFilename()) |
481 |
|
|
482 |
|
if self.Visible(): |
483 |
|
items.append(_("Shown")) |
484 |
|
else: |
485 |
|
items.append(_("Hidden")) |
486 |
|
|
487 |
|
bbox = self.LatLongBoundingBox() |
488 |
|
if bbox is not None: |
489 |
|
items.append(_("Extent (lat-lon): (%g, %g, %g, %g)") % bbox) |
490 |
|
else: |
491 |
|
items.append(_("Extent (lat-lon):")) |
492 |
|
|
493 |
|
if self.projection and len(self.projection.params) > 0: |
494 |
|
items.append((_("Projection"), |
495 |
|
[str(param) for param in self.projection.params])) |
496 |
|
|
497 |
|
return (_("Layer '%s'") % self.Title(), items) |
498 |
|
|