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shape_importer.py
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shape_importer.py
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#!/usr/bin/python2.4
#
# Copyright 2007 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""A utility program to help add shapes to an existing GTFS feed.
Requires the ogr python package.
"""
__author__ = '[email protected] (Chris Harrelson)'
import csv
import glob
import ogr
import os
import shutil
import sys
import tempfile
import transitfeed
from transitfeed import shapelib
from transitfeed import util
import zipfile
class ShapeImporterError(Exception):
pass
def PrintColumns(shapefile):
"""
Print the columns of layer 0 of the shapefile to the screen.
"""
ds = ogr.Open(shapefile)
layer = ds.GetLayer(0)
if len(layer) == 0:
raise ShapeImporterError("Layer 0 has no elements!")
feature = layer.GetFeature(0)
print "%d features" % feature.GetFieldCount()
for j in range(0, feature.GetFieldCount()):
print '--' + feature.GetFieldDefnRef(j).GetName() + \
': ' + feature.GetFieldAsString(j)
def AddShapefile(shapefile, graph, key_cols):
"""
Adds shapes found in the given shape filename to the given polyline
graph object.
"""
ds = ogr.Open(shapefile)
layer = ds.GetLayer(0)
for i in range(0, len(layer)):
feature = layer.GetFeature(i)
geometry = feature.GetGeometryRef()
if key_cols:
key_list = []
for col in key_cols:
key_list.append(str(feature.GetField(col)))
shape_id = '-'.join(key_list)
else:
shape_id = '%s-%d' % (shapefile, i)
poly = shapelib.Poly(name=shape_id)
for j in range(0, geometry.GetPointCount()):
(lat, lng) = (round(geometry.GetY(j), 15), round(geometry.GetX(j), 15))
poly.AddPoint(shapelib.Point.FromLatLng(lat, lng))
graph.AddPoly(poly)
return graph
def GetMatchingShape(pattern_poly, trip, matches, max_distance, verbosity=0):
"""
Tries to find a matching shape for the given pattern Poly object,
trip, and set of possibly matching Polys from which to choose a match.
"""
if len(matches) == 0:
print ('No matching shape found within max-distance %d for trip %s '
% (max_distance, trip.trip_id))
return None
if verbosity >= 1:
for match in matches:
print "match: size %d" % match.GetNumPoints()
scores = [(pattern_poly.GreedyPolyMatchDist(match), match)
for match in matches]
scores.sort()
if scores[0][0] > max_distance:
print ('No matching shape found within max-distance %d for trip %s '
'(min score was %f)'
% (max_distance, trip.trip_id, scores[0][0]))
return None
return scores[0][1]
def AddExtraShapes(extra_shapes_txt, graph):
"""
Add extra shapes into our input set by parsing them out of a GTFS-formatted
shapes.txt file. Useful for manually adding lines to a shape file, since it's
a pain to edit .shp files.
"""
print "Adding extra shapes from %s" % extra_shapes_txt
try:
tmpdir = tempfile.mkdtemp()
shutil.copy(extra_shapes_txt, os.path.join(tmpdir, 'shapes.txt'))
loader = transitfeed.ShapeLoader(tmpdir)
schedule = loader.Load()
for shape in schedule.GetShapeList():
print "Adding extra shape: %s" % shape.shape_id
graph.AddPoly(ShapeToPoly(shape))
finally:
if tmpdir:
shutil.rmtree(tmpdir)
# Note: this method lives here to avoid cross-dependencies between
# shapelib and transitfeed.
def ShapeToPoly(shape):
poly = shapelib.Poly(name=shape.shape_id)
for lat, lng, distance in shape.points:
point = shapelib.Point.FromLatLng(round(lat, 15), round(lng, 15))
poly.AddPoint(point)
return poly
def ValidateArgs(options_parser, options, args):
if not (args and options.source_gtfs and options.dest_gtfs):
options_parser.error("You must specify a source and dest GTFS file, "
"and at least one source shapefile")
def DefineOptions():
usage = \
"""%prog [options] --source_gtfs=<input GTFS.zip> --dest_gtfs=<output GTFS.zip>\
<input.shp> [<input.shp>...]
Try to match shapes in one or more SHP files to trips in a GTFS file."""
options_parser = util.OptionParserLongError(
usage=usage, version='%prog '+transitfeed.__version__)
options_parser.add_option("--print_columns",
action="store_true",
default=False,
dest="print_columns",
help="Print column names in shapefile DBF and exit")
options_parser.add_option("--keycols",
default="",
dest="keycols",
help="Comma-separated list of the column names used"
"to index shape ids")
options_parser.add_option("--max_distance",
type="int",
default=150,
dest="max_distance",
help="Max distance from a shape to which to match")
options_parser.add_option("--source_gtfs",
default="",
dest="source_gtfs",
metavar="FILE",
help="Read input GTFS from FILE")
options_parser.add_option("--dest_gtfs",
default="",
dest="dest_gtfs",
metavar="FILE",
help="Write output GTFS with shapes to FILE")
options_parser.add_option("--extra_shapes",
default="",
dest="extra_shapes",
metavar="FILE",
help="Extra shapes.txt (CSV) formatted file")
options_parser.add_option("--verbosity",
type="int",
default=0,
dest="verbosity",
help="Verbosity level. Higher is more verbose")
return options_parser
def main(key_cols):
print 'Parsing shapefile(s)...'
graph = shapelib.PolyGraph()
for arg in args:
print ' ' + arg
AddShapefile(arg, graph, key_cols)
if options.extra_shapes:
AddExtraShapes(options.extra_shapes, graph)
print 'Loading GTFS from %s...' % options.source_gtfs
schedule = transitfeed.Loader(options.source_gtfs).Load()
shape_count = 0
pattern_count = 0
verbosity = options.verbosity
print 'Matching shapes to trips...'
for route in schedule.GetRouteList():
print 'Processing route', route.route_short_name
patterns = route.GetPatternIdTripDict()
for pattern_id, trips in patterns.iteritems():
pattern_count += 1
pattern = trips[0].GetPattern()
poly_points = [shapelib.Point.FromLatLng(p.stop_lat, p.stop_lon)
for p in pattern]
if verbosity >= 2:
print "\npattern %d, %d points:" % (pattern_id, len(poly_points))
for i, (stop, point) in enumerate(zip(pattern, poly_points)):
print "Stop %d '%s': %s" % (i + 1, stop.stop_name, point.ToLatLng())
# First, try to find polys that run all the way from
# the start of the trip to the end.
matches = graph.FindMatchingPolys(poly_points[0], poly_points[-1],
options.max_distance)
if not matches:
# Try to find a path through the graph, joining
# multiple edges to find a path that covers all the
# points in the trip. Some shape files are structured
# this way, with a polyline for each segment between
# stations instead of a polyline covering an entire line.
shortest_path = graph.FindShortestMultiPointPath(poly_points,
options.max_distance,
verbosity=verbosity)
if shortest_path:
matches = [shortest_path]
else:
matches = []
pattern_poly = shapelib.Poly(poly_points)
shape_match = GetMatchingShape(pattern_poly, trips[0],
matches, options.max_distance,
verbosity=verbosity)
if shape_match:
shape_count += 1
# Rename shape for readability.
shape_match = shapelib.Poly(points=shape_match.GetPoints(),
name="shape_%d" % shape_count)
for trip in trips:
try:
shape = schedule.GetShape(shape_match.GetName())
except KeyError:
shape = transitfeed.Shape(shape_match.GetName())
for point in shape_match.GetPoints():
(lat, lng) = point.ToLatLng()
shape.AddPoint(lat, lng)
schedule.AddShapeObject(shape)
trip.shape_id = shape.shape_id
print "Matched %d shapes out of %d patterns" % (shape_count, pattern_count)
schedule.WriteGoogleTransitFeed(options.dest_gtfs)
if __name__ == '__main__':
# Import psyco if available for better performance.
try:
import psyco
psyco.full()
except ImportError:
pass
options_parser = DefineOptions()
(options, args) = options_parser.parse_args()
ValidateArgs(options_parser, options, args)
if options.print_columns:
for arg in args:
PrintColumns(arg)
sys.exit(0)
key_cols = options.keycols.split(',')
main(key_cols)