def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
fp_layer = self.inputs[2].value
# merge with zone to get assignment
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,[zone_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
fields = {
0 : QgsField(self._lon_field, QVariant.Double),
1 : QgsField(self._lat_field, QVariant.Double),
2 : QgsField(zone_field, QVariant.String),
}
zone_idx = layer_field_index(tmp_join_layer, zone_field)
fp_layername = 'fpc_%s' % get_unique_filename()
fp_file = '%s%s.shp' % (self._tmp_dir, fp_layername)
try:
writer = QgsVectorFileWriter(fp_file, "utf-8", fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
centroid = _f.geometry().centroid().asPoint()
lon = centroid.x()
lat = centroid.y()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(err, logAPICall.ERROR)
remove_shapefile(fp_file)
raise OperatorError("error creating joined grid: %s" % err, self.__class__)
# load shapefile as layer
fp_layer = load_shapefile(fp_file, fp_layername)
if not fp_layer:
raise OperatorError('Error loading footprint centroid file' % (fp_file), self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = fp_layer
self.outputs[1].value = fp_file
def test_AddAttribute(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
myCount = len(feat.attributeMap())
myExpectedCount = 1
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedCount, myCount)
assert myCount == myExpectedCount, myMessage
def _write_grid_shapefile(self, path, x_min, y_min, x_max, y_max, x_off,
y_off):
x_off = self._x_off
y_off = self._y_off
x_min = floor(x_min / x_off) * x_off
x_max = ceil(x_max / x_off) * x_off
y_min = floor(y_min / y_off) * y_off
y_max = ceil(y_max / y_off) * y_off
xtotal = int((x_max - x_min) / x_off)
ytotal = int((y_max - y_min) / y_off)
logAPICall.log(
'x_min %f x_max %f y_min %f y_max %f x_off %f y_off %f xtotal %d, ytotal %d'
% (x_min, x_max, y_min, y_max, x_off, y_off, xtotal, ytotal),
logAPICall.DEBUG_L2)
writer = QgsVectorFileWriter(path, "utf-8", self._fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for x in range(xtotal):
for y in range(ytotal):
lon = x_min + (x * x_off) + (x_off / 2.0)
lat = y_min + (y * y_off) + (y_off / 2.0)
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
def test_AddAttribute(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
myCount = len(feat.attributeMap())
myExpectedCount = 1
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedCount, myCount)
assert myCount == myExpectedCount, myMessage
def saveIntersectionResult(self, report, intersectedPoint):
# save the intersection result (point) and its report
# check first
while True:
if not self.settings.value("advancedIntersectionWritePoint"):
break # if we do not place any point, skip
layerid = self.settings.value("advancedIntersectionLayer")
message = QCoreApplication.translate("IntersectIt",
"To place the intersection solution,"
" you must select a layer in the settings.")
status, intLayer = self.checkLayerExists(layerid, message)
if status == 2:
continue
if status == 3:
return
if self.settings.value("advancedIntersectionWriteReport"):
reportField = self.settings.value("reportField")
message = QCoreApplication.translate("IntersectIt",
"To save the intersection report, please select a field for it.")
status = self.checkFieldExists(intLayer, reportField, message)
if status == 2:
continue
if status == 3:
return
break
# save the intersection results
if self.settings.value("advancedIntersectionWritePoint"):
f = QgsFeature()
f.setGeometry(QgsGeometry().fromPoint(intersectedPoint))
if self.settings.value("advancedIntersectionWriteReport"):
irep = intLayer.dataProvider().fieldNameIndex(reportField)
f.addAttribute(irep, report)
intLayer.dataProvider().addFeatures([f])
intLayer.updateExtents()
self.mapCanvas.refresh()
def _create_grid(self, grid_name, grid_file, x_min, y_min, x_max, y_max, x_off, y_off):
x_off2, y_off2 = x_off / 2.0, y_off / 2.0
x_min = floor(x_min / x_off) * x_off
x_max = ceil(x_max / x_off) * x_off
y_min = floor(y_min / y_off) * y_off
y_max = ceil(y_max / y_off) * y_off
xtotal = int((x_max - x_min) / x_off) + 1
ytotal = int((y_max - y_min) / y_off) + 1
logAPICall.log(
"x_min %f x_max %f y_min %f y_max %f x_off %f y_off %f xtotal %d, ytotal %d"
% (x_min, x_max, y_min, y_max, x_off, y_off, xtotal, ytotal),
logAPICall.DEBUG_L2,
)
fields = {0: QgsField("GRID_GID", QVariant.String)}
writer = QgsVectorFileWriter(grid_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for x in range(xtotal):
for y in range(ytotal):
lon = x_min + (x * x_off) + (x_off2)
lat = y_min + (y * y_off) + (y_off2)
# out_geom = QgsGeometry.fromRect(QgsRectangle(lon-x_off2, lat-y_off2,
# lon+x_off2, lat+y_off2))
f.setGeometry(self._outputGeometryFromLatLon(lat, lon))
f.addAttribute(0, QVariant(latlon_to_grid(lat, lon)))
writer.addFeature(f)
del writer
return load_shapefile(grid_file, grid_name)
def _write_grid_shapefile(self, path, x_min, y_min, x_max, y_max, x_off, y_off):
x_off = self._x_off
y_off = self._y_off
x_min = floor(x_min / x_off) * x_off
x_max = ceil(x_max / x_off) * x_off
y_min = floor(y_min / y_off) * y_off
y_max = ceil(y_max / y_off) * y_off
xtotal = int((x_max - x_min) / x_off)
ytotal = int((y_max - y_min) / y_off)
logAPICall.log('x_min %f x_max %f y_min %f y_max %f x_off %f y_off %f xtotal %d, ytotal %d'
% (x_min, x_max, y_min, y_max, x_off, y_off, xtotal, ytotal),
logAPICall.DEBUG_L2)
writer = QgsVectorFileWriter(path, "utf-8", self._fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
for x in range(xtotal):
for y in range(ytotal):
lon = x_min + (x * x_off) + (x_off/2.0)
lat = y_min + (y * y_off) + (y_off/2.0)
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
def _create_grid(self, grid_name, grid_file, x_min, y_min, x_max, y_max, x_off, y_off):
x_off2, y_off2 = x_off / 2.0, y_off / 2.0
x_min = floor(x_min / x_off) * x_off
x_max = ceil(x_max / x_off) * x_off
y_min = floor(y_min / y_off) * y_off
y_max = ceil(y_max / y_off) * y_off
xtotal = int((x_max - x_min) / x_off)+1
ytotal = int((y_max - y_min) / y_off)+1
logAPICall.log('x_min %f x_max %f y_min %f y_max %f x_off %f y_off %f xtotal %d, ytotal %d'
% (x_min, x_max, y_min, y_max, x_off, y_off, xtotal, ytotal),
logAPICall.DEBUG_L2)
fields = {
0 : QgsField('GRID_GID', QVariant.String),
}
writer = QgsVectorFileWriter(grid_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for x in range(xtotal):
for y in range(ytotal):
lon = x_min + (x * x_off) + (x_off2)
lat = y_min + (y * y_off) + (y_off2)
#out_geom = QgsGeometry.fromRect(QgsRectangle(lon-x_off2, lat-y_off2,
# lon+x_off2, lat+y_off2))
f.setGeometry(self._outputGeometryFromLatLon(lat, lon))
f.addAttribute(0, QVariant(latlon_to_grid(lat, lon)))
writer.addFeature(f)
del writer
return load_shapefile(grid_file, grid_name)
def test_CreateFeature(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
feat.setGeometry(QgsGeometry.fromPoint(QgsPoint(123,456)))
myId = feat.id()
myExpectedId = 0
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedId, myId)
assert myId == myExpectedId, myMessage
def test_CreateFeature(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
feat.setGeometry(QgsGeometry.fromPoint(QgsPoint(123, 456)))
myId = feat.id()
myExpectedId = 0
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedId, myId)
assert myId == myExpectedId, myMessage
def test_ChangeAttribute(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
feat.changeAttribute(1, "changed")
myChangedAttribute = feat.attributeMap()[1].toString()
myExpectedAttribute = "changed"
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedAttribute,
myChangedAttribute)
assert myChangedAttribute == myExpectedAttribute, myMessage
def test_ChangeAttribute(self):
feat = QgsFeature()
feat.addAttribute(1, "text")
feat.changeAttribute(1, "changed")
myChangedAttribute = feat.attributeMap()[1].toString()
myExpectedAttribute = "changed"
myMessage = '\nExpected: %s\nGot: %s' % (myExpectedAttribute,
myChangedAttribute)
assert myChangedAttribute == myExpectedAttribute, myMessage
def do_operation(self):
""" perform export operation """
# input/output data checking already done during property set
input_file = self.inputs[0].value
output_file = self.inputs[1].value
output_dbf = '%s_attr.dbf' % output_file[:-3]
try:
exp_layer = load_shapefile(input_file, 'exposure_%s' % get_unique_filename())
# store id of distinct features
total_features = exp_layer.dataProvider().featureCount()
if total_features > MAX_FEATURES_IN_MEMORY:
# use bsddb to store id in case number of features is too large
tmp_db_file = '%sdb_%s.db' % (self._tmp_dir, get_unique_filename())
db = bsddb.btopen(tmp_db_file, 'c')
use_db = True
else:
# in memory dictionary, should be much faster, but could fail
# if memory is limited
db = {}
use_db = False
# get field index for GID
gid_idx = layer_field_index(exp_layer, GID_FIELD_NAME)
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
exp_layer.dataProvider().geometryType(),
exp_layer.crs(), "ESRI Shapefile")
out_feature = QgsFeature()
for feature in layer_features(exp_layer):
gid = str(feature.attributeMap()[gid_idx].toString())
# only write out once
if not db.has_key(gid):
db[gid]= '1' # bsddb only accepts string
out_feature.addAttribute(0, gid)
out_feature.setGeometry(feature.geometry())
writer.addFeature(out_feature)
# clean up
del writer
if use_db:
db.close()
os.remove(tmp_db_file)
# copy associated attribute file
copy_shapefile(input_file, output_dbf, extensions=['.dbf'])
except Exception as err:
raise OperatorError("error creating shapefile: %s" % err, self.__class__)
def addGeomToMemoryLayer(self, the_geom, origin=0, delete_when_done=False):
"""TO DO: Add doc string"""
foi_type = self.foi_type.lower()
print "got foi_type"
if self.mem_layer_obj.featureCount() > 0:
if origin == 1: # is added by identify operation
pass
else:
print self.mem_layer_obj.featureCount()
print "there exists a feature, kill it!"
self.mem_layer_obj.select()
print "Feature count selcted for deletion:"
print self.mem_layer_obj.selectedFeatureCount()
self.mem_layer_obj.deleteSelectedFeatures()
#self.mem_layer_obj.deleteFeature(0)
self.mem_layer_obj.commitChanges()
self.mem_layer_obj.triggerRepaint()
ml_dp = self.mem_layer_obj.dataProvider()
print "got DP"
uuid_gid = QtCore.QUuid().createUuid().toString()
print "got uuid"
fet = QgsFeature()
print "got feature with id"
fet.setGeometry(the_geom)
print "set geometry"
fet.addAttribute(0, uuid_gid)
print "set attr "
ml_dp.addFeatures([fet])
self.mem_layer_obj.commitChanges()
print "added layers"
#self.mem_layer_obj.updateFeatureAttributes(fet)
#self.mem_layer_obj.updateFeatureGeometry(fet)
self.mem_layer_obj.updateExtents()
print "updated extents"
#self.mem_layer_obj.drawFeature(fet)
self.mem_layer_obj.triggerRepaint()
print "trp"
return fet.id()
def saveIntersectionResult(self, report, intersectedPoint):
# save the intersection result (point) and its report
# check first
while True:
if not self.settings.value("advancedIntersectionWritePoint"):
break # if we do not place any point, skip
layerid = self.settings.value("advancedIntersectionLayer")
message = QCoreApplication.translate(
"IntersectIt", "To place the intersection solution,"
" you must select a layer in the settings.")
status, intLayer = self.checkLayerExists(layerid, message)
if status == 2:
continue
if status == 3:
return
if self.settings.value("advancedIntersectionWriteReport"):
reportField = self.settings.value("reportField")
message = QCoreApplication.translate(
"IntersectIt",
"To save the intersection report, please select a field for it."
)
status = self.checkFieldExists(intLayer, reportField, message)
if status == 2:
continue
if status == 3:
return
break
# save the intersection results
if self.settings.value("advancedIntersectionWritePoint"):
f = QgsFeature()
f.setGeometry(QgsGeometry().fromPoint(intersectedPoint))
if self.settings.value("advancedIntersectionWriteReport"):
irep = intLayer.dataProvider().fieldNameIndex(reportField)
f.addAttribute(irep, report)
intLayer.dataProvider().addFeatures([f])
intLayer.updateExtents()
self.mapCanvas.refresh()
def createFeature(self, geom):
# pydevd.settrace()
layer = self.canvas.currentLayer()
provider = layer.dataProvider()
f = QgsFeature()
# if (geom.validateGeometry()):
if (geom.isGeosValid()):
f.setGeometry(geom)
else:
reply = QMessageBox.question(self.iface.mainWindow(), 'Feature not valid',
"The geometry of the feature you just added isn't valid. Do you want to use it anyway?",
QMessageBox.Yes, QMessageBox.No)
if reply == QMessageBox.Yes:
f.setGeometry(geom)
else:
return False
## Add attributefields to feature.
fields = layer.pendingFields()
try: # API-Break 1.8 vs. 2.0 handling
attr = f.initAttributes(len(fields))
for i in range(len(fields)):
f.setAttribute(i, provider.defaultValue(i))
except AttributeError: # <=1.8
## Add attributefields to feature.
for i in fields:
f.addAttribute(i, provider.defaultValue(i))
layer.beginEditCommand("Feature added")
layer.addFeature(f)
layer.endEditCommand()
self.canvas.refresh()
def insertShapeFileValues(layer, attributes, values, coords):
# get the geometry type
# todo: not working yet. attribute ids must match those from table.
# use createShapeFileFullLayer instead
res = False
if layer:
geom_type = layer.geometryType()
provider = layer.dataProvider()
caps = provider.capabilities()
if caps & QgsVectorDataProvider.AddFeatures:
# add features by iterating the values
features = []
for val in values:
feat = QgsFeature()
# add geometry
try:
if geom_type in (0, 3):
feat.setGeometry(
QgsGeometry.fromPoint([QgsPoint(float(val[coords[0]]), float(val[coords[1]]))]))
elif geom_type in (1, 4):
feat.setGeometry(
QgsGeometry.fromPolyline([QgsPoint(float(val[coords[0]]), float(val[coords[1]])),
QgsPoint(float(val[coords[2]]), float(val[coords[3]]))]))
except:
pass
# add attributes
for i, x in enumerate(val):
feat.addAttribute(i, x)
features.append(feat)
res, outFeats = provider.addFeatures(features)
layer.updateFields()
else:
res = False
else:
res = False
return res
def _loadSurvey(self, csvpath, shapefilepath):
# load data
data = csv.reader(open(csvpath, "r"), delimiter=",", quotechar='"')
# skip header, there is probably a better way to accomplish this
data.next()
writer = QgsVectorFileWriter(shapefilepath, "utf-8", self._fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
gid = 0
for row in data:
lon = float(row[0])
lat = float(row[1])
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
gid += 1
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(row[2]))
writer.addFeature(f)
del writer, f
def _loadSurvey(self, csvpath, shapefilepath):
# load data
data = csv.reader(open(csvpath, 'r'), delimiter=',', quotechar='"')
# skip header, there is probably a better way to accomplish this
data.next()
writer = QgsVectorFileWriter(shapefilepath, "utf-8", self._fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
gid = 0
for row in data:
lon = float(row[0])
lat = float(row[1])
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
gid += 1
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(row[2]))
writer.addFeature(f)
del writer, f
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
zone_count_field = self.inputs[2].value
fp_layer = self.inputs[3].value
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
stats = {}
for _feature in layer_features(tmp_join_layer):
gid = _feature.attributeMap()[gid_idx].toString()
if ht_idx > 0:
ht = _feature.attributeMap()[ht_idx].toDouble()[0]
else:
ht = 0
# if height is not defined, it is set to 0
# this will cause the system to ignore area generate without having to
# remove the field
area = _feature.attributeMap()[area_idx].toDouble()[0] * ht #
if not stats.has_key(gid):
stats[gid] = (1, area)
else:
stat = stats[gid]
stats[gid] = (stat[0] + 1, stat[1] + area)
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Int),
3: QgsField(AREA_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPolygon, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
stat = stats[gid]
bldg_count = stat[0]
area = stat[1]
except:
bldg_count, area = 0, 0
f.addAttribute(2, QVariant(bldg_count))
f.addAttribute(3, QVariant(area))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err,
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mappin """
# validate inputs
popgrid_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(popgrid_layer)
self._test_layer_field_exists(popgrid_layer, CNT_FIELD_NAME)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# local variables
analyzer = QgsOverlayAnalyzer()
# intersect grids and zones to obtain polygons with
# - population and zone_id
# - apply ratio to population to obtain building count
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# generate grid with building counts
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
pop_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
for _f in layer_features(tmp_join_layer):
pop_count = _f.attributeMap()[pop_idx].toDouble()[0]
zone = _f.attributeMap()[zone_idx].toString()
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
grid_gid = latlon_to_grid(centroid.y(), centroid.x())
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone)
f.addAttribute(2, pop_count / pop_to_bldg)
writer.addFeature(f)
del writer
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
# validate inputs
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
area_field = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
self._test_layer_field_exists(zone_layer, count_field)
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
#cnt_idx = ToGrid.STAT_COUNT_IDX
# 1. find building count and total area for each zone
zone_names, zone_stat= {}, {}
try:
self._create_zone_statistics(zone_layer, zone_field, count_field,
zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(tmp_grid1, tmp_grid1_file, \
x_min, y_min, x_max, y_max, \
DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
bldg_area_idx = layer_field_index(tmp_join_layer, area_field)
mercator_transform = QgsCoordinateTransform(tmp_join_layer.crs(),
self.mercator_crs)
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
3 : QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
# get area of polygon
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * (area/stat[area_idx])
if bldg_area_idx> 0:
bldg_area = _f.attributeMap()[bldg_area_idx].toDouble()[0] * (area/stat[area_idx])
else:
bldg_area = 0
# create output record
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, bldg_cnt)
f.addAttribute(3, bldg_area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform create mappin """
# validate inputs
popgrid_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(popgrid_layer)
self._test_layer_field_exists(popgrid_layer, CNT_FIELD_NAME)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# local variables
analyzer = QgsOverlayAnalyzer()
# intersect grids and zones to obtain polygons with
# - population and zone_id
# - apply ratio to population to obtain building count
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# generate grid with building counts
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
pop_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
zone_idx = layer_field_index(tmp_join_layer, zone_field)
for _f in layer_features(tmp_join_layer):
pop_count = _f.attributeMap()[pop_idx].toDouble()[0]
zone = _f.attributeMap()[zone_idx].toString()
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
grid_gid = latlon_to_grid(centroid.y(), centroid.x())
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone)
f.addAttribute(2, pop_count / pop_to_bldg)
writer.addFeature(f)
del writer
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
# validate inputs
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
area_field = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
self._test_layer_field_exists(zone_layer, count_field)
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
# cnt_idx = ToGrid.STAT_COUNT_IDX
# 1. find building count and total area for each zone
zone_names, zone_stat = {}, {}
try:
self._create_zone_statistics(zone_layer, zone_field, count_field, zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = "grid_" + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + ".shp"
try:
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(
tmp_grid1, tmp_grid1_file, x_min, y_min, x_max, y_max, DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE
)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
bldg_area_idx = layer_field_index(tmp_join_layer, area_field)
mercator_transform = QgsCoordinateTransform(tmp_join_layer.crs(), self.mercator_crs)
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
3: QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
# get area of polygon
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * (area / stat[area_idx])
if bldg_area_idx > 0:
bldg_area = _f.attributeMap()[bldg_area_idx].toDouble()[0] * (area / stat[area_idx])
else:
bldg_area = 0
# create output record
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, bldg_cnt)
f.addAttribute(3, bldg_area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
# load and verify
infile = self.inputs[0].value
tmp_fp_layername = 'fp_%s' % get_unique_filename()
tmp_fp_layer = load_shapefile(infile, tmp_fp_layername)
if not tmp_fp_layer:
raise OperatorError('Error loading footprint file' % (infile),
self.__class__)
if self._fp_ht_field is not None:
ht_idx = layer_field_index(tmp_fp_layer, self._fp_ht_field)
else:
ht_idx = -1
logAPICall.log(
'tmp_fp_layer.crs().epsg() %s ' % tmp_fp_layer.crs().epsg(),
logAPICall.DEBUG)
if tmp_fp_layer.crs().epsg() != self._crs.epsg():
transform = QgsCoordinateTransform(tmp_fp_layer.crs(), self._crs)
transform_required = True
else:
transform_required = False
mercator_crs = QgsCoordinateReferenceSystem()
#mercator_crs.createFromProj4("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs")
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(tmp_fp_layer.crs(),
mercator_crs)
# output grid
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(LON_FIELD_NAME, QVariant.Double),
2: QgsField(LAT_FIELD_NAME, QVariant.Double),
3: QgsField(AREA_FIELD_NAME, QVariant.Double),
4: QgsField(HT_FIELD_NAME, QVariant.Int),
}
output_file = '%sfpc_%s.shp' % (self._tmp_dir, get_unique_filename())
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
gid = 0
for _f in layer_features(tmp_fp_layer):
# NOTE: geom.transform does projection in place to underlying
# C object, for some reason, multiple projection does not
# work correctly. following is a work-around
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
if transform_required:
t_centroid = transform.transform(centroid)
else:
t_centroid = centroid
# 3. project into mercator and get area in m2
geom.transform(mercator_transform)
area = geom.area()
# write to file
gid += 1
f.setGeometry(QgsGeometry.fromPoint(t_centroid))
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, QVariant(t_centroid.x()))
f.addAttribute(2, QVariant(t_centroid.y()))
f.addAttribute(3, QVariant(area))
if ht_idx != -1:
f.addAttribute(4, _f.attributeMap()[ht_idx])
else:
f.addAttribute(4, QVariant(0))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating footprint centroids: %s" % err,
self.__class__)
fp_layer = load_shapefile(output_file, tmp_fp_layername)
if not fp_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
# clean up
del tmp_fp_layer
# store data in output
self.outputs[0].value = fp_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform apply mapping scheme operation """
# input/output data checking already done during property set
src_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
ms = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(src_layer)
self._test_layer_field_exists(src_layer, zone_field)
self._test_layer_field_exists(src_layer, count_field)
# loop through all zones and assign mapping scheme
# outputs
exposure_layername = 'exp_%s' % get_unique_filename()
exposure_file = '%sexp_%s.shp' % (self._tmp_dir, exposure_layername)
# loop through all input features
provider = src_layer.dataProvider()
if provider is None:
raise OperatorError("input layer not correctly loaded",
self.__class__)
zone_idx = layer_field_index(src_layer, zone_field)
if zone_idx == -1:
raise OperatorError(
"field %s not found in input layer" % zone_field,
self.__class__)
count_idx = layer_field_index(src_layer, count_field)
if count_idx == -1:
raise OperatorError(
"field %s not found in input layer" % count_field,
self.__class__)
gid_idx = layer_field_index(src_layer, GID_FIELD_NAME)
if gid_idx == -1:
raise OperatorError(
"field %s not found in input layer" % GID_FIELD_NAME,
self.__class__)
area_idx = layer_field_index(src_layer, AREA_FIELD_NAME)
provider.select(provider.attributeIndexes(), provider.extent())
provider.rewind()
try:
writer = QgsVectorFileWriter(exposure_file, "utf-8", self._fields,
provider.geometryType(), self._crs,
"ESRI Shapefile")
out_feature = QgsFeature()
gid = 0
for in_feature in layer_features(src_layer):
geom = in_feature.geometry()
centroid = geom.centroid().asPoint()
gid = in_feature.attributeMap()[gid_idx]
zone_str = str(in_feature.attributeMap()[zone_idx].toString())
count = in_feature.attributeMap()[count_idx].toDouble()[0]
if area_idx > 0:
area = in_feature.attributeMap()[area_idx].toDouble()[0]
else:
area = 0
count = int(count + 0.5)
if count == 0:
continue
stats = ms.get_assignment_by_name(zone_str)
# use default stats if missing
if stats is None:
raise Exception("no mapping scheme found for zone %s" %
zone_str)
for _sample in stats.get_samples(count,
self._extrapolationOption):
# write out if there are structures assigned
_type = _sample[0]
_cnt = _sample[1]
if area > 0:
# use area provided by footprint/zone if defined
_size = area * (float(_sample[1]) / count)
if _sample[3] > 0 and _sample[2] > 0:
_cost = (_sample[3] / _sample[2]) * area
else:
_cost = 0
else:
# use mapping scheme generic area otherwise
_size = _sample[2]
_cost = _sample[3]
if _cnt > 0:
out_feature.setGeometry(geom)
#out_feature.addAttribute(0, QVariant(gid))
out_feature.addAttribute(0, gid)
out_feature.addAttribute(1, QVariant(centroid.x()))
out_feature.addAttribute(2, QVariant(centroid.y()))
out_feature.addAttribute(3, QVariant(_type))
out_feature.addAttribute(4, QVariant(zone_str))
out_feature.addAttribute(5, QVariant(_cnt))
out_feature.addAttribute(6, QVariant(_size))
out_feature.addAttribute(7, QVariant(_cost))
writer.addFeature(out_feature)
del writer, out_feature
except Exception as err:
remove_shapefile(exposure_file)
raise OperatorError("error creating exposure file: %s" % err,
self.__class__)
del src_layer
# load shapefile as layer
exposure_layer = load_shapefile(exposure_file, exposure_layername)
if not exposure_layer:
raise OperatorError(
'Error loading exposure file' % (exposure_file),
self.__class__)
# store data in output
self.outputs[0].value = exposure_layer
self.outputs[1].value = exposure_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
svy_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(svy_layer)
total_features = svy_layer.dataProvider().featureCount()
if total_features > MAX_FEATURES_IN_MEMORY:
# use bsddb to store temporary lat/lon
tmp_db_file = '%sdb_%s.db' % (self._tmp_dir, get_unique_filename())
db = bsddb.btopen(tmp_db_file, 'c')
else:
db = {}
# tally statistics for each grid_id/building type combination
tax_idx = layer_field_index(svy_layer, TAX_FIELD_NAME)
for f in layer_features(svy_layer):
geom = f.geometry()
centroid = geom.centroid().asPoint()
grid_id = latlon_to_grid(centroid.y(), centroid.x())
tax_str = str(f.attributeMap()[tax_idx].toString())
key = '%s %s' % (tax_str, grid_id)
if db.has_key(key):
db[key] = str(int(db[key]) +
1) # value as string required by bsddb
else:
db[key] = '1' # value as string required by bsddb
# loop through all zones and assign mapping scheme
# outputs
exposure_layername = 'exp_%s' % get_unique_filename()
exposure_file = '%s%s.shp' % (self._tmp_dir, exposure_layername)
try:
writer = QgsVectorFileWriter(exposure_file, "utf-8", self._fields,
self._outputGeometryType(), self._crs,
"ESRI Shapefile")
f = QgsFeature()
gid = 0
for key, val in db.iteritems():
(tax_str, grid_id) = key.split(' ')
lon, lat = grid_to_latlon(int(grid_id))
f.setGeometry(self._outputGeometryFromGridId(grid_id))
f.addAttribute(0, QVariant(grid_id))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(tax_str))
f.addAttribute(4, QVariant(''))
f.addAttribute(5, QVariant(val))
writer.addFeature(f)
gid += 1
del writer, f
except Exception as err:
remove_shapefile(exposure_file)
raise OperatorError("error creating exposure file: %s" % err,
self.__class__)
# load shapefile as layer
exposure_layer = load_shapefile(exposure_file, exposure_layername)
if not exposure_layer:
raise OperatorError(
'Error loading exposure file %s' % (exposure_file),
self.__class__)
# store data in output
self.outputs[0].value = exposure_layer
self.outputs[1].value = exposure_file
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
# load and verify
infile = self.inputs[0].value
tmp_fp_layername = 'fp_%s' % get_unique_filename()
tmp_fp_layer = load_shapefile(infile, tmp_fp_layername)
if not tmp_fp_layer:
raise OperatorError('Error loading footprint file' % (infile), self.__class__)
if self._fp_ht_field is not None:
ht_idx = layer_field_index(tmp_fp_layer, self._fp_ht_field)
else:
ht_idx = -1
logAPICall.log('tmp_fp_layer.crs().epsg() %s ' % tmp_fp_layer.crs().epsg(),
logAPICall.DEBUG)
if tmp_fp_layer.crs().epsg() != self._crs.epsg():
transform = QgsCoordinateTransform(tmp_fp_layer.crs(), self._crs)
transform_required = True
else:
transform_required = False
mercator_crs = QgsCoordinateReferenceSystem()
#mercator_crs.createFromProj4("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs")
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(tmp_fp_layer.crs(), mercator_crs)
# output grid
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(LON_FIELD_NAME, QVariant.Double),
2 : QgsField(LAT_FIELD_NAME, QVariant.Double),
3 : QgsField(AREA_FIELD_NAME, QVariant.Double),
4 : QgsField(HT_FIELD_NAME, QVariant.Int),
}
output_file = '%sfpc_%s.shp' % (self._tmp_dir, get_unique_filename())
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
gid = 0
for _f in layer_features(tmp_fp_layer):
# NOTE: geom.transform does projection in place to underlying
# C object, for some reason, multiple projection does not
# work correctly. following is a work-around
# 1. get geometry
geom = _f.geometry()
# 2. get original centroid point and project is required
centroid = geom.centroid().asPoint()
if transform_required:
t_centroid = transform.transform(centroid)
else:
t_centroid = centroid
# 3. project into mercator and get area in m2
geom.transform(mercator_transform)
area = geom.area()
# write to file
gid += 1
f.setGeometry(QgsGeometry.fromPoint(t_centroid))
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, QVariant(t_centroid.x()))
f.addAttribute(2, QVariant(t_centroid.y()))
f.addAttribute(3, QVariant(area))
if ht_idx != -1:
f.addAttribute(4, _f.attributeMap()[ht_idx])
else:
f.addAttribute(4, QVariant(0))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating footprint centroids: %s" % err, self.__class__)
fp_layer = load_shapefile(output_file, tmp_fp_layername)
if not fp_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
# clean up
del tmp_fp_layer
# store data in output
self.outputs[0].value = fp_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
popgrid_layer = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
stats = {}
_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
_cnt_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
# retrieve count from statistic
_gid = _f.attributeMap()[_gid_idx].toString()
_count = _f.attributeMap()[_cnt_idx].toString()
if stats.has_key(_gid):
stats[_gid] += float(_count) / pop_to_bldg
else:
stats[_gid] = float(_count) / pop_to_bldg
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPolygon, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
bldg_count = stats[gid]
except:
bldg_count = 0
f.addAttribute(2, QVariant(bldg_count))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err,
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
popgrid_layer = self.inputs[2].value
pop_to_bldg = float(self.inputs[3].value)
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(popgrid_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
stats = {}
_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
_cnt_idx = layer_field_index(tmp_join_layer, CNT_FIELD_NAME)
for _f in layer_features(tmp_join_layer):
# retrieve count from statistic
_gid = _f.attributeMap()[_gid_idx].toString()
_count = _f.attributeMap()[_cnt_idx].toString()
if stats.has_key(_gid):
stats[_gid]+=float(_count) / pop_to_bldg
else:
stats[_gid]=float(_count) / pop_to_bldg
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
fields ={
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
bldg_count = stats[gid]
except:
bldg_count = 0
f.addAttribute(2, QVariant(bldg_count))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err, self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
def _buildSurveyLayer(self, data, shapefilepath):
writer = QgsVectorFileWriter(shapefilepath, "utf-8", self._fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for row in data:
obj_uid = str(row[0])
lon = self._tofloat(row[1])
lat = self._tofloat(row[2])
sample_grp = str(row[3])
plan_area = self._tofloat(row[4])
rep_cost = self._tofloat(row[5])
tax_string = self._make_gem_taxstring(row[6:])
ht = self._get_height(row[6:])
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(obj_uid))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(tax_string))
f.addAttribute(4, QVariant(sample_grp))
f.addAttribute(5, QVariant(plan_area))
f.addAttribute(6, QVariant(ht))
f.addAttribute(7, QVariant(rep_cost))
writer.addFeature(f)
del writer, f
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
# load and verify
popgrid_file = self.inputs[0].value
pop_field = self.inputs[1].value
popgrid_layername = 'zone_%s' % get_unique_filename()
try:
tmp_popgrid_layer = load_shapefile_verify(popgrid_file, popgrid_layername,
[pop_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
logAPICall.log('tmp_fp_layer.crs().epsg() %s ' % tmp_popgrid_layer.crs().epsg(),
logAPICall.DEBUG)
if tmp_popgrid_layer.crs().epsg() != self._crs.epsg():
transform = QgsCoordinateTransform(tmp_popgrid_layer.crs(), self._crs)
transform_required = True
else:
transform_required = False
# output grid
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(CNT_FIELD_NAME, QVariant.Double),
}
pop_idx = layer_field_index(tmp_popgrid_layer, pop_field)
output_file = '%spop_grid_%s.shp' % (self._tmp_dir, get_unique_filename())
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
gid = 0
for _f in layer_features(tmp_popgrid_layer):
# NOTE: geom.transform does projection in place to underlying C object
# 1. get geometry
geom = _f.geometry()
# 2. change project if required
if transform_required:
geom = transform.transform(geom)
# 3. write to file
gid += 1
f.setGeometry(geom)
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, _f.attributeMap()[pop_idx])
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating footprint centroids: %s" % err, self.__class__)
popgrid_layername = 'popgrid_%s' % get_unique_filename()
popgrid_layer = load_shapefile(output_file, popgrid_layername)
if not popgrid_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
# clean up
del tmp_popgrid_layer
# store data in output
self.outputs[0].value = popgrid_layer
self.outputs[1].value = output_file
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
zone_count_field = self.inputs[2].value
fp_layer = self.inputs[3].value
# merge with zone
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# count footprint in each zone
gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME + "_")
area_idx = layer_field_index(tmp_join_layer, AREA_FIELD_NAME)
ht_idx = layer_field_index(tmp_join_layer, HT_FIELD_NAME)
stats = {}
for _feature in layer_features(tmp_join_layer):
gid = _feature.attributeMap()[gid_idx].toString()
if ht_idx > 0:
ht = _feature.attributeMap()[ht_idx].toDouble()[0]
else:
ht = 0
# if height is not defined, it is set to 0
# this will cause the system to ignore area generate without having to
# remove the field
area = _feature.attributeMap()[area_idx].toDouble()[0] * ht #
if not stats.has_key(gid):
stats[gid] = (1, area)
else:
stat = stats[gid]
stats[gid] = (stat[0]+1, stat[1]+area)
output_layername = 'zone_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
logAPICall.log('create outputfile %s ... ' % output_file, logAPICall.DEBUG)
try:
fields ={
0 : QgsField(GID_FIELD_NAME, QVariant.Int),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Int),
3 : QgsField(AREA_FIELD_NAME, QVariant.Int),
}
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(zone_layer):
# write to file
f.setGeometry(_f.geometry())
f.addAttribute(0, _f.attributeMap()[0])
f.addAttribute(1, _f.attributeMap()[1])
# retrieve count from statistic
try:
gid = _f.attributeMap()[0].toString()
stat = stats[gid]
bldg_count = stat[0]
area = stat[1]
except:
bldg_count, area = 0, 0
f.addAttribute(2, QVariant(bldg_count))
f.addAttribute(3, QVariant(area))
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating zone: %s" % err, self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
# store data in output
output_layer = load_shapefile(output_file, output_layername)
if not output_layer:
raise OperatorError('Error loading footprint centroid file' % (output_file), self.__class__)
self.outputs[0].value = output_layer
self.outputs[1].value = output_file
@logAPICall
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
svy_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(svy_layer)
total_features = svy_layer.dataProvider().featureCount()
if total_features > MAX_FEATURES_IN_MEMORY:
# use bsddb to store temporary lat/lon
tmp_db_file = '%sdb_%s.db' % (self._tmp_dir, get_unique_filename())
db = bsddb.btopen(tmp_db_file, 'c')
else:
db = {}
# tally statistics for each grid_id/building type combination
tax_idx = layer_field_index(svy_layer, TAX_FIELD_NAME)
for f in layer_features(svy_layer):
geom = f.geometry()
centroid = geom.centroid().asPoint()
grid_id = latlon_to_grid(centroid.y(), centroid.x())
tax_str = str(f.attributeMap()[tax_idx].toString())
key = '%s %s' % (tax_str, grid_id)
if db.has_key(key):
db[key] = str(int(db[key]) + 1) # value as string required by bsddb
else:
db[key] = '1' # value as string required by bsddb
# loop through all zones and assign mapping scheme
# outputs
exposure_layername = 'exp_%s' % get_unique_filename()
exposure_file = '%s%s.shp' % (self._tmp_dir, exposure_layername)
try:
writer = QgsVectorFileWriter(exposure_file, "utf-8",
self._fields, self._outputGeometryType(), self._crs,
"ESRI Shapefile")
f = QgsFeature()
gid = 0
for key, val in db.iteritems():
(tax_str, grid_id) = key.split(' ')
lon, lat = grid_to_latlon(int(grid_id))
f.setGeometry(self._outputGeometryFromGridId(grid_id))
f.addAttribute(0, QVariant(grid_id))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(tax_str))
f.addAttribute(4, QVariant(''))
f.addAttribute(5, QVariant(val))
writer.addFeature(f)
gid += 1
del writer, f
except Exception as err:
remove_shapefile(exposure_file)
raise OperatorError("error creating exposure file: %s" % err, self.__class__)
# load shapefile as layer
exposure_layer = load_shapefile(exposure_file, exposure_layername)
if not exposure_layer:
raise OperatorError('Error loading exposure file %s' % (exposure_file), self.__class__)
# store data in output
self.outputs[0].value = exposure_layer
def do_operation(self):
""" perform create mapping scheme operation """
# validate inputs
fp_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
count_field = self.inputs[3].value
area_field = self.inputs[4].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(fp_layer)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# area_field is not required
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
cnt_idx = ToGrid.STAT_COUNT_IDX
zone_names, zone_stat, zone_stat2, zone_totals = {}, {}, {}, {}
# 1. find building count and total area for each zone
# project geometry into mercator and get area in m2
mercator_crs = QgsCoordinateReferenceSystem()
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(zone_layer.crs(), mercator_crs)
try:
# use zone geometry area
self._create_zone_statistics(zone_layer, zone_field, count_field, zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = "grid_" + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + ".shp"
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(
tmp_grid1, tmp_grid1_file, x_min, y_min, x_max, y_max, DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE
)
# tally total building area if there is defined
bldg_area_idx = layer_field_index(zone_layer, area_field)
zone_area = {}
zone_has_area = False
if bldg_area_idx > 0:
zone_has_area = True
zone_gid_idx = layer_field_index(zone_layer, GID_FIELD_NAME)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[zone_gid_idx].toString()
area = _f.attributeMap()[bldg_area_idx].toDouble()[0]
if zone_area.has_key(gid):
zone_area[gid] = str(float(zone_area[gid])) + area
else:
zone_area[gid] = area
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = "joined_%s" % get_unique_filename()
tmp_join_file = "%s%s.shp" % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
for _f in layer_features(tmp_join_layer):
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
area_ratio = area / stat[area_idx]
if bldg_cnt_idx > 0:
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * area_ratio
else:
bldg_cnt = 0
if zone_has_area:
area = zone_area[zone_gid] * area_ratio
else:
area = stat[area_idx] * area_ratio
self._update_stat(zone_stat2, "%s|%s" % (grid_gid, zone_gid), bldg_cnt, area)
# 4. find total buildings in each zone based on footprint
# - simply join the files and tally count and total area
tmp_join1 = "joined_%s" % get_unique_filename()
tmp_join1_file = "%s%s.shp" % (self._tmp_dir, tmp_join1)
try:
# do intersection
analyzer.intersection(fp_layer, tmp_join_layer, tmp_join1_file)
tmp_join1_layer = load_shapefile(tmp_join1_file, tmp_join1)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_fp_stat = {}
zone_gid_idx = layer_field_index(tmp_join1_layer, "%s_" % GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join1_layer, "GRID_GID")
fp_area_idx = layer_field_index(tmp_join1_layer, AREA_FIELD_NAME)
fp_ht_idx = layer_field_index(tmp_join1_layer, HT_FIELD_NAME)
fp_has_height = False
for _f in layer_features(tmp_join1_layer):
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
area = _f.attributeMap()[fp_area_idx].toDouble()[0] # area comes from geometry, always exists
ht = _f.attributeMap()[fp_ht_idx].toDouble()[0]
if ht > 0:
fp_has_height = True
area *= ht # this is actual area to be aggregated at the end
self._update_stat(zone_fp_stat, "%s|%s" % (grid_gid, zone_gid), 1, area)
self._update_stat(zone_totals, zone_gid, 1, area)
# 5. generate grid with adjusted building counts
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.String),
1: QgsField(zone_field, QVariant.String),
2: QgsField(CNT_FIELD_NAME, QVariant.Double),
3: QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = "grid_%s" % get_unique_filename()
output_file = "%s%s.shp" % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for key in zone_stat2.keys():
(grid_gid, zone_gid) = str(key).split("|")
s_zone = zone_stat[QString(zone_gid)] # overall statistics for the zone from zone file (always exists)
s_zone_grid = zone_stat2[key] # grid specific statistic from from zone file (always exists)
if zone_totals.has_key(QString(zone_gid)): # overall statistics for the zone from footprints
s_total = zone_totals[QString(zone_gid)]
else:
s_total = [0, 0] # set to zero if missing
if zone_fp_stat.has_key(key): # grid specific statistic from from footprint
s_fp = zone_fp_stat[key]
else:
s_fp = [0, 0] # set to zero if missing
zone_leftover_count = s_zone[cnt_idx] - s_total[cnt_idx]
if zone_has_area:
zone_leftover_area = zone_area[QString(zone_gid)] - s_total[area_idx]
else:
zone_leftover_area = s_zone[area_idx] - s_total[area_idx]
if zone_leftover_count > 0:
# there are still building not accounted for
# distribute to grid based on ratio of grid leftover area over zone leftover area
# (leftover area is area of zone after subtracting footprint areas
grid_leftover_count = zone_leftover_count * (
(s_zone_grid[area_idx] - s_fp[area_idx]) / zone_leftover_area
)
grid_count = s_fp[cnt_idx] + grid_leftover_count
else:
grid_count = s_fp[cnt_idx]
if fp_has_height:
# area can be actual area based on footprint area * height
area = s_fp[area_idx]
elif zone_has_area:
area = s_zone_grid[area_idx]
else:
# no area defined
area = 0 # max(s_zone_grid[area_idx], s_fp[area_idx])
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, grid_count)
f.addAttribute(3, area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
del tmp_join1_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
remove_shapefile(tmp_join1_file)
# store data in output
self._load_output(output_file, output_layername)
@logAPICall
def do_operation(self):
""" perform apply mapping scheme operation """
# input/output data checking already done during property set
src_layer = self.inputs[0].value
zone_field = self.inputs[1].value
count_field = self.inputs[2].value
ms = self.inputs[3].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(src_layer)
self._test_layer_field_exists(src_layer, zone_field)
self._test_layer_field_exists(src_layer, count_field)
# loop through all zones and assign mapping scheme
# outputs
exposure_layername = 'exp_%s' % get_unique_filename()
exposure_file = '%sexp_%s.shp' % (self._tmp_dir, exposure_layername)
# loop through all input features
provider = src_layer.dataProvider()
if provider is None:
raise OperatorError("input layer not correctly loaded", self.__class__)
zone_idx = layer_field_index(src_layer, zone_field)
if zone_idx == -1:
raise OperatorError("field %s not found in input layer" % zone_field, self.__class__)
count_idx = layer_field_index(src_layer, count_field)
if count_idx == -1:
raise OperatorError("field %s not found in input layer" % count_field, self.__class__)
gid_idx = layer_field_index(src_layer, GID_FIELD_NAME)
if gid_idx == -1:
raise OperatorError("field %s not found in input layer" % GID_FIELD_NAME, self.__class__)
area_idx = layer_field_index(src_layer, AREA_FIELD_NAME)
provider.select(provider.attributeIndexes(), provider.extent())
provider.rewind()
try:
writer = QgsVectorFileWriter(exposure_file, "utf-8", self._fields, provider.geometryType(), self._crs, "ESRI Shapefile")
out_feature = QgsFeature()
gid = 0
for in_feature in layer_features(src_layer):
geom = in_feature.geometry()
centroid = geom.centroid().asPoint ()
gid = in_feature.attributeMap()[gid_idx]
zone_str = str(in_feature.attributeMap()[zone_idx].toString())
count = in_feature.attributeMap()[count_idx].toDouble()[0]
if area_idx > 0:
area = in_feature.attributeMap()[area_idx].toDouble()[0]
else:
area = 0
count = int(count+0.5)
if count == 0:
continue
stats = ms.get_assignment_by_name(zone_str)
# use default stats if missing
if stats is None:
raise Exception("no mapping scheme found for zone %s" % zone_str)
for _sample in stats.get_samples(count, self._extrapolationOption):
# write out if there are structures assigned
_type = _sample[0]
_cnt = _sample[1]
if area > 0:
# use area provided by footprint/zone if defined
_size = area * ( float(_sample[1]) / count )
if _sample[3] > 0 and _sample[2] > 0:
_cost = (_sample[3] / _sample[2]) * area
else:
_cost = 0
else:
# use mapping scheme generic area otherwise
_size = _sample[2]
_cost = _sample[3]
if _cnt > 0:
out_feature.setGeometry(geom)
#out_feature.addAttribute(0, QVariant(gid))
out_feature.addAttribute(0, gid)
out_feature.addAttribute(1, QVariant(centroid.x()))
out_feature.addAttribute(2, QVariant(centroid.y()))
out_feature.addAttribute(3, QVariant(_type))
out_feature.addAttribute(4, QVariant(zone_str))
out_feature.addAttribute(5, QVariant(_cnt))
out_feature.addAttribute(6, QVariant(_size))
out_feature.addAttribute(7, QVariant(_cost))
writer.addFeature(out_feature)
del writer, out_feature
except Exception as err:
remove_shapefile(exposure_file)
raise OperatorError("error creating exposure file: %s" % err, self.__class__)
del src_layer
# load shapefile as layer
exposure_layer = load_shapefile(exposure_file, exposure_layername)
if not exposure_layer:
raise OperatorError('Error loading exposure file' % (exposure_file), self.__class__)
# store data in output
self.outputs[0].value = exposure_layer
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
fp_layer = self.inputs[0].value
zone_field = self.inputs[1].value
# aggregate footprint into grids
logAPICall.log('aggregate statistic for grid ...', logAPICall.DEBUG)
total_features = fp_layer.dataProvider().featureCount()
if total_features > MAX_FEATURES_IN_MEMORY:
# use bsddb to store temporary lat/lon
tmp_db_file = '%sdb_%s.db' % (self._tmp_dir, get_unique_filename())
db = bsddb.btopen(tmp_db_file, 'c')
use_db = True
else:
db = {}
use_db = False
zone_idx = layer_field_index(fp_layer, zone_field)
for f in layer_features(fp_layer):
geom = f.geometry()
zone_str = str(f.attributeMap()[zone_idx].toString())
centroid = geom.centroid().asPoint()
# use floor, this truncates all points within grid to grid's
# bottom-left corner
x = math.floor(centroid.x() / DEFAULT_GRID_SIZE)
y = math.floor(centroid.y() / DEFAULT_GRID_SIZE)
key = '%s %d %d' % (zone_str, x,y)
if db.has_key(key):
db[key] = str(int(db[key]) + 1)
else:
db[key] = '1'
# output grid
logAPICall.log('create grid ...', logAPICall.DEBUG)
fields = {
0 : QgsField(self._lon_field, QVariant.Double),
1 : QgsField(self._lat_field, QVariant.Double),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
3 : QgsField(zone_field, QVariant.String),
}
grid_layername = 'grid_%s' % get_unique_filename()
grid_file = '%s%s.shp' % (self._tmp_dir, grid_layername)
try:
writer = QgsVectorFileWriter(grid_file, "utf-8", fields, QGis.WKBPoint , self._crs, "ESRI Shapefile")
f = QgsFeature()
for key, val in db.iteritems():
(zone_str, x, y) = key.split(' ')
# point were aggregated to grid's bottom-left corner
# add half grid size to place point at center of grid
point = QgsPoint(int(x)*DEFAULT_GRID_SIZE+(DEFAULT_GRID_SIZE/2.0),
int(y)*DEFAULT_GRID_SIZE+(DEFAULT_GRID_SIZE/2.0))
f.setGeometry(QgsGeometry.fromPoint(point))
f.addAttribute(0, QVariant(point.x()))
f.addAttribute(1, QVariant(point.y()))
f.addAttribute(2, QVariant(val))
f.addAttribute(3, QVariant(zone_str))
writer.addFeature(f)
del writer
except Exception as err:
remove_shapefile(grid_file)
raise OperatorError("error creating joined grid: " % err, self.__class__)
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading created grid file' % (grid_file), self.__class__)
# clean up
if use_db:
db.close()
os.remove(tmp_db_file)
# done
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def createFeature(self, geom):
# layer = self.canvas.currentLayer()
layer = self.iface.activeLayer()
provider = layer.dataProvider()
f = QgsFeature()
if (geom.isGeosValid()):
f.setGeometry(geom)
else:
reply = QMessageBox.question(self.iface.mainWindow(), 'Feature not valid',
"The geometry of the feature you just added isn't valid. Do you want to use it anyway?",
QMessageBox.Yes, QMessageBox.No)
if reply == QMessageBox.Yes:
f.setGeometry(geom)
else:
return False
# Add attribute fields to feature.
fields = layer.pendingFields()
try: #API-Break 1.8 vs. 2.0 handling
attr = f.initAttributes(len(fields)) #@UnusedVariable
for i in range(len(fields)):
f.setAttribute(i, provider.defaultValue(i))
except AttributeError: #<=1.8
# Add attributefields to feature.
for i in fields:
f.addAttribute(i, provider.defaultValue(i))
idx = layer.fieldNameIndex('epa_type')
f[idx] = self.elem_type_type
# Upload changes
layer.startEditing()
layer.addFeature(f)
# Control PostgreSQL exceptions
boolOk = layer.commitChanges()
# Update canvas
self.canvas.refresh()
# Capture edit exception
if boolOk:
# Spatial query to retrieve last added line, start searchingcandidates
cands = layer.getFeatures(QgsFeatureRequest().setFilterRect(f.geometry().boundingBox()))
# Iterate on candidates
for line_feature in cands:
if line_feature.geometry().equals(f.geometry()):
# Highlight
layer.setSelectedFeatures([line_feature.id()])
# Open form
self.iface.openFeatureForm(layer, line_feature)
break
else:
# Delete
layer.rollBack()
# User error
msg = "Error adding PIPE: Typically this occurs if\n the first point is not located in a existing\n node or feature is out of the defined sectors."
QMessageBox.information(None, "PostgreSQL error:", msg)
def do_operation(self):
""" perform create mapping scheme operation """
# validate inputs
fp_layer = self.inputs[0].value
zone_layer = self.inputs[1].value
zone_field = self.inputs[2].value
count_field = self.inputs[3].value
area_field = self.inputs[4].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(fp_layer)
self._test_layer_loaded(zone_layer)
self._test_layer_field_exists(zone_layer, GID_FIELD_NAME)
self._test_layer_field_exists(zone_layer, zone_field)
# count_field is not required
# if count field is not defined, then generate building count from footprints
# area_field is not required
# local variables
analyzer = QgsOverlayAnalyzer()
area_idx = ToGrid.STAT_AREA_IDX
cnt_idx = ToGrid.STAT_COUNT_IDX
zone_names, zone_stat, zone_stat2, zone_totals = {}, {}, {}, {}
# 1. find building count and total area for each zone
# project geometry into mercator and get area in m2
mercator_crs = QgsCoordinateReferenceSystem()
mercator_crs.createFromEpsg(3395)
mercator_transform = QgsCoordinateTransform(zone_layer.crs(), mercator_crs)
try:
# use zone geometry area
self._create_zone_statistics(zone_layer, zone_field, count_field,
zone_stat, zone_names)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# 2. create grids around extent of zone
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
tmp_grid_lyr1 = self._create_grid(tmp_grid1, tmp_grid1_file, \
x_min, y_min, x_max, y_max, \
DEFAULT_GRID_SIZE, DEFAULT_GRID_SIZE)
# tally total building area if there is defined
bldg_area_idx = layer_field_index(zone_layer, area_field)
zone_area = {}
zone_has_area = False
if bldg_area_idx > 0:
zone_has_area = True
zone_gid_idx = layer_field_index(zone_layer, GID_FIELD_NAME)
for _f in layer_features(zone_layer):
gid = _f.attributeMap()[zone_gid_idx].toString()
area = _f.attributeMap()[bldg_area_idx].toDouble()[0]
if zone_area.has_key(gid):
zone_area[gid] = str(float(zone_area[gid]))+area
else:
zone_area[gid] = area
# 3. intersect grids and zones to obtain polygons with
# - grid_id and zone_id
# - ratio of grid covered by zone (polygon area / zone area)
# apply ratio to zone building count to obtain count assigned to polygon
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
try:
# do intersection
analyzer.intersection(tmp_grid_lyr1, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile(tmp_join_file, tmp_join)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_gid_idx = layer_field_index(tmp_join_layer, GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join_layer, "GRID_GID")
bldg_cnt_idx = layer_field_index(tmp_join_layer, count_field)
for _f in layer_features(tmp_join_layer):
geom = _f.geometry()
geom.transform(mercator_transform)
area = geom.area()
# generate all stats of interest
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
stat = zone_stat[zone_gid]
# calculate count/area as proportion of total zone area
area_ratio = (area/stat[area_idx])
if bldg_cnt_idx > 0:
bldg_cnt = _f.attributeMap()[bldg_cnt_idx].toDouble()[0] * area_ratio
else:
bldg_cnt = 0
if zone_has_area:
area = zone_area[zone_gid] * area_ratio
else:
area = stat[area_idx] * area_ratio
self._update_stat(zone_stat2, '%s|%s'%(grid_gid, zone_gid), bldg_cnt, area)
# 4. find total buildings in each zone based on footprint
# - simply join the files and tally count and total area
tmp_join1 = 'joined_%s' % get_unique_filename()
tmp_join1_file = '%s%s.shp' % (self._tmp_dir, tmp_join1)
try:
# do intersection
analyzer.intersection(fp_layer, tmp_join_layer, tmp_join1_file)
tmp_join1_layer = load_shapefile(tmp_join1_file, tmp_join1)
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
# do tally
zone_fp_stat = {}
zone_gid_idx = layer_field_index(tmp_join1_layer, '%s_'% GID_FIELD_NAME)
grid_gid_idx = layer_field_index(tmp_join1_layer, "GRID_GID")
fp_area_idx = layer_field_index(tmp_join1_layer, AREA_FIELD_NAME)
fp_ht_idx = layer_field_index(tmp_join1_layer, HT_FIELD_NAME)
fp_has_height = False
for _f in layer_features(tmp_join1_layer):
zone_gid = _f.attributeMap()[zone_gid_idx].toString()
grid_gid = _f.attributeMap()[grid_gid_idx].toString()
area = _f.attributeMap()[fp_area_idx].toDouble()[0] # area comes from geometry, always exists
ht = _f.attributeMap()[fp_ht_idx].toDouble()[0]
if ht > 0:
fp_has_height = True
area *= ht # this is actual area to be aggregated at the end
self._update_stat(zone_fp_stat, '%s|%s'%(grid_gid, zone_gid), 1, area)
self._update_stat(zone_totals, zone_gid, 1, area)
# 5. generate grid with adjusted building counts
fields = {
0 : QgsField(GID_FIELD_NAME, QVariant.String),
1 : QgsField(zone_field, QVariant.String),
2 : QgsField(CNT_FIELD_NAME, QVariant.Double),
3 : QgsField(AREA_FIELD_NAME, QVariant.Double),
}
output_layername = 'grid_%s' % get_unique_filename()
output_file = '%s%s.shp' % (self._tmp_dir, output_layername)
writer = QgsVectorFileWriter(output_file, "utf-8", fields, QGis.WKBPolygon, self._crs, "ESRI Shapefile")
f = QgsFeature()
for key in zone_stat2.keys():
(grid_gid, zone_gid) = str(key).split("|")
s_zone = zone_stat[QString(zone_gid)] # overall statistics for the zone from zone file (always exists)
s_zone_grid = zone_stat2[key] # grid specific statistic from from zone file (always exists)
if zone_totals.has_key(QString(zone_gid)): # overall statistics for the zone from footprints
s_total = zone_totals[QString(zone_gid)]
else:
s_total = [0,0] # set to zero if missing
if zone_fp_stat.has_key(key): # grid specific statistic from from footprint
s_fp = zone_fp_stat[key]
else:
s_fp = [0, 0] # set to zero if missing
zone_leftover_count = s_zone[cnt_idx] - s_total[cnt_idx]
if zone_has_area:
zone_leftover_area = zone_area[QString(zone_gid)] - s_total[area_idx]
else:
zone_leftover_area = s_zone[area_idx] - s_total[area_idx]
if zone_leftover_count > 0:
# there are still building not accounted for
# distribute to grid based on ratio of grid leftover area over zone leftover area
# (leftover area is area of zone after subtracting footprint areas
grid_leftover_count = zone_leftover_count * ((s_zone_grid[area_idx]-s_fp[area_idx])/zone_leftover_area)
grid_count = s_fp[cnt_idx] + grid_leftover_count
else:
grid_count = s_fp[cnt_idx]
if fp_has_height:
# area can be actual area based on footprint area * height
area = s_fp[area_idx]
elif zone_has_area:
area = s_zone_grid[area_idx]
else:
# no area defined
area = 0 # max(s_zone_grid[area_idx], s_fp[area_idx])
f.setGeometry(self._outputGeometryFromGridId(grid_gid))
f.addAttribute(0, grid_gid)
f.addAttribute(1, zone_names[QString(zone_gid)])
f.addAttribute(2, grid_count)
f.addAttribute(3, area)
writer.addFeature(f)
del writer
# clean up
del tmp_grid_lyr1
del tmp_join_layer
del tmp_join1_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_join_file)
remove_shapefile(tmp_join1_file)
# store data in output
self._load_output(output_file, output_layername)
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
zone_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
x_off = self._x_off
y_off = self._y_off
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [
extent.xMinimum(),
extent.yMinimum(),
extent.xMaximum(),
extent.yMaximum()
]
# create grid based on extent of given region
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
self._write_grid_shapefile(tmp_grid1_file, x_min, y_min, x_max,
y_max, x_off, y_off)
except:
remove_shapefile(tmp_grid1_file)
raise OperatorError('error creating temporary grid',
self.__class__)
tmp_grid1_layer = load_shapefile(tmp_grid1_file, tmp_grid1)
# temporary grid for joined shape with all grid points not within region removed
tmp_grid2 = 'grid_' + get_unique_filename()
tmp_grid2_file = self._tmp_dir + tmp_grid2 + '.shp'
tmp_grid2_layer = None
try:
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(tmp_grid1_layer, zone_layer, tmp_grid2_file)
tmp_grid2_layer = load_shapefile(tmp_grid2_file, tmp_grid2)
except:
raise OperatorError('error creating grid', self.__class__)
# create result layer
grid_layername = 'grid_%s' % get_unique_filename()
grid_file = self._tmp_dir + grid_layername + '.shp'
try:
writer = QgsVectorFileWriter(grid_file, "utf-8", self._fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
lon_idx = layer_field_index(tmp_grid2_layer, self._lon_field)
lat_idx = layer_field_index(tmp_grid2_layer, self._lat_field)
for _f in layer_features(tmp_grid2_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(str(err), logAPICall.ERROR)
raise OperatorError('error writing out grid', self.__class__)
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading result grid file' % (grid_file),
self.__class__)
# clean up
del analyzer, tmp_grid1_layer, tmp_grid2_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_grid2_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def _buildSurveyLayer(self, data, shapefilepath):
writer = QgsVectorFileWriter(shapefilepath, "utf-8", self._fields, QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
for row in data:
obj_uid = str(row[0])
lon = self._tofloat(row[1])
lat = self._tofloat(row[2])
sample_grp = str(row[3])
plan_area = self._tofloat(row[4])
rep_cost = self._tofloat(row[5])
tax_string = self._make_gem_taxstring(row[6:])
ht = self._get_height(row[6:])
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(obj_uid))
f.addAttribute(1, QVariant(lon))
f.addAttribute(2, QVariant(lat))
f.addAttribute(3, QVariant(tax_string))
f.addAttribute(4, QVariant(sample_grp))
f.addAttribute(5, QVariant(plan_area))
f.addAttribute(6, QVariant(ht))
f.addAttribute(7, QVariant(rep_cost))
writer.addFeature(f)
del writer, f
def do_operation(self):
""" perform create mapping scheme operation """
# input/output verification already performed during set input/ouput
zone_layer = self.inputs[0].value
zone_field = self.inputs[1].value
fp_layer = self.inputs[2].value
# merge with zone to get assignment
tmp_join = 'joined_%s' % get_unique_filename()
tmp_join_file = '%s%s.shp' % (self._tmp_dir, tmp_join)
analyzer = QgsOverlayAnalyzer()
try:
analyzer.intersection(fp_layer, zone_layer, tmp_join_file)
tmp_join_layer = load_shapefile_verify(tmp_join_file, tmp_join,
[zone_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
except Exception as err:
raise OperatorError(str(err), self.__class__)
fields = {
0: QgsField(self._lon_field, QVariant.Double),
1: QgsField(self._lat_field, QVariant.Double),
2: QgsField(zone_field, QVariant.String),
}
zone_idx = layer_field_index(tmp_join_layer, zone_field)
fp_layername = 'fpc_%s' % get_unique_filename()
fp_file = '%s%s.shp' % (self._tmp_dir, fp_layername)
try:
writer = QgsVectorFileWriter(fp_file, "utf-8", fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
for _f in layer_features(tmp_join_layer):
centroid = _f.geometry().centroid().asPoint()
lon = centroid.x()
lat = centroid.y()
zone_str = str(_f.attributeMap()[zone_idx].toString()).upper()
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
f.addAttribute(2, QVariant(zone_str))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(err, logAPICall.ERROR)
remove_shapefile(fp_file)
raise OperatorError("error creating joined grid: %s" % err,
self.__class__)
# load shapefile as layer
fp_layer = load_shapefile(fp_file, fp_layername)
if not fp_layer:
raise OperatorError(
'Error loading footprint centroid file' % (fp_file),
self.__class__)
# clean up
del tmp_join_layer
remove_shapefile(tmp_join_file)
self.outputs[0].value = fp_layer
self.outputs[1].value = fp_file
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
zone_layer = self.inputs[0].value
# make sure input is correct
# NOTE: these checks cannot be performed at set input time
# because the data layer maybe is not loaded yet
self._test_layer_loaded(zone_layer)
x_off = self._x_off
y_off = self._y_off
extent = zone_layer.extent()
[x_min, y_min, x_max, y_max] = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
# create grid based on extent of given region
tmp_grid1 = 'grid_' + get_unique_filename()
tmp_grid1_file = self._tmp_dir + tmp_grid1 + '.shp'
try:
self._write_grid_shapefile(tmp_grid1_file,
x_min, y_min, x_max, y_max,
x_off, y_off)
except:
remove_shapefile(tmp_grid1_file)
raise OperatorError('error creating temporary grid', self.__class__)
tmp_grid1_layer = load_shapefile(tmp_grid1_file, tmp_grid1)
# temporary grid for joined shape with all grid points not within region removed
tmp_grid2 = 'grid_' + get_unique_filename()
tmp_grid2_file = self._tmp_dir + tmp_grid2 + '.shp'
tmp_grid2_layer = None
try:
analyzer = QgsOverlayAnalyzer()
analyzer.intersection(tmp_grid1_layer, zone_layer, tmp_grid2_file)
tmp_grid2_layer = load_shapefile(tmp_grid2_file, tmp_grid2)
except:
raise OperatorError('error creating grid', self.__class__)
# create result layer
grid_layername = 'grid_%s' % get_unique_filename()
grid_file = self._tmp_dir + grid_layername + '.shp'
try:
writer = QgsVectorFileWriter(grid_file, "utf-8", self._fields,
QGis.WKBPoint, self._crs, "ESRI Shapefile")
f = QgsFeature()
lon_idx = layer_field_index(tmp_grid2_layer, self._lon_field)
lat_idx = layer_field_index(tmp_grid2_layer, self._lat_field)
for _f in layer_features(tmp_grid2_layer):
lon = _f.attributeMap()[lon_idx].toDouble()[0]
lat = _f.attributeMap()[lat_idx].toDouble()[0]
f.setGeometry(QgsGeometry.fromPoint(QgsPoint(lon, lat)))
f.addAttribute(0, QVariant(lon))
f.addAttribute(1, QVariant(lat))
writer.addFeature(f)
del writer
except Exception as err:
logAPICall.log(str(err), logAPICall.ERROR)
raise OperatorError('error writing out grid', self.__class__)
grid_layer = load_shapefile(grid_file, grid_layername)
if not grid_layer:
raise OperatorError('Error loading result grid file' % (grid_file), self.__class__)
# clean up
del analyzer, tmp_grid1_layer, tmp_grid2_layer
remove_shapefile(tmp_grid1_file)
remove_shapefile(tmp_grid2_file)
self.outputs[0].value = grid_layer
self.outputs[1].value = grid_file
def do_operation(self):
""" perform footprint load operation """
# input/output data checking already done during property set
# load and verify
popgrid_file = self.inputs[0].value
pop_field = self.inputs[1].value
popgrid_layername = 'zone_%s' % get_unique_filename()
try:
tmp_popgrid_layer = load_shapefile_verify(popgrid_file,
popgrid_layername,
[pop_field])
except AssertionError as err:
raise OperatorError(str(err), self.__class__)
logAPICall.log(
'tmp_fp_layer.crs().epsg() %s ' % tmp_popgrid_layer.crs().epsg(),
logAPICall.DEBUG)
if tmp_popgrid_layer.crs().epsg() != self._crs.epsg():
transform = QgsCoordinateTransform(tmp_popgrid_layer.crs(),
self._crs)
transform_required = True
else:
transform_required = False
# output grid
fields = {
0: QgsField(GID_FIELD_NAME, QVariant.Int),
1: QgsField(CNT_FIELD_NAME, QVariant.Double),
}
pop_idx = layer_field_index(tmp_popgrid_layer, pop_field)
output_file = '%spop_grid_%s.shp' % (self._tmp_dir,
get_unique_filename())
logAPICall.log('create outputfile %s ... ' % output_file,
logAPICall.DEBUG)
try:
writer = QgsVectorFileWriter(output_file, "utf-8", fields,
QGis.WKBPoint, self._crs,
"ESRI Shapefile")
f = QgsFeature()
gid = 0
for _f in layer_features(tmp_popgrid_layer):
# NOTE: geom.transform does projection in place to underlying C object
# 1. get geometry
geom = _f.geometry()
# 2. change project if required
if transform_required:
geom = transform.transform(geom)
# 3. write to file
gid += 1
f.setGeometry(geom)
f.addAttribute(0, QVariant(gid))
f.addAttribute(1, _f.attributeMap()[pop_idx])
writer.addFeature(f)
del writer, f
except Exception as err:
remove_shapefile(output_file)
raise OperatorError("error creating footprint centroids: %s" % err,
self.__class__)
popgrid_layername = 'popgrid_%s' % get_unique_filename()
popgrid_layer = load_shapefile(output_file, popgrid_layername)
if not popgrid_layer:
raise OperatorError(
'Error loading footprint centroid file' % (output_file),
self.__class__)
# clean up
del tmp_popgrid_layer
# store data in output
self.outputs[0].value = popgrid_layer
self.outputs[1].value = output_file
