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621 lines
24 KiB
Python
Executable File
621 lines
24 KiB
Python
Executable File
#!/usr/bin/python
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# Tiger road data to OSM conversion script
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# Creates Karlsruhe-style address ways beside the main way
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# based on the Massachusetts GIS script by christopher schmidt
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#BUGS:
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# On very tight curves, a loop may be generated in the address way.
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# It would be nice if the ends of the address ways were not pulled back from dead ends
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# Ways that include these mtfccs should not be uploaded
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# H1100 Connector
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# H3010 Stream/River
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# H3013 Braided Stream
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# H3020 Canal, Ditch or Aqueduct
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# L4130 Point-to-Point Line
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# L4140 Property/Parcel Line (Including PLSS)
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# P0001 Nonvisible Linear Legal/Statistical Boundary
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# P0002 Perennial Shoreline
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# P0003 Intermittent Shoreline
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# P0004 Other non-visible bounding Edge (e.g., Census water boundary, boundary of an areal feature)
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ignoremtfcc = [ "H1100", "H3010", "H3013", "H3020", "L4130", "L4140", "P0001", "P0002", "P0003", "P0004" ]
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# Sets the distance that the address ways should be from the main way, in feet.
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address_distance = 30
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# Sets the distance that the ends of the address ways should be pulled back from the ends of the main way, in feet
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address_pullback = 45
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import sys, os.path, json
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try:
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from osgeo import ogr
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from osgeo import osr
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except:
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import ogr
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import osr
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# https://www.census.gov/geo/reference/codes/cou.html
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# tiger_county_fips.json was generated from the following:
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# wget https://www2.census.gov/geo/docs/reference/codes/files/national_county.txt
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# cat national_county.txt | perl -F, -naE'($F[0] ne 'AS') && $F[3] =~ s/ ((city|City|County|District|Borough|City and Borough|Municipio|Municipality|Parish|Island|Census Area)(?:, |\Z))+//; say qq( "$F[1]$F[2]": "$F[3], $F[0]",)'
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json_fh = open(os.path.dirname(sys.argv[0]) + "/tiger_county_fips.json")
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county_fips_data = json.load(json_fh)
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def parse_shp_for_geom_and_tags( filename ):
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#ogr.RegisterAll()
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dr = ogr.GetDriverByName("ESRI Shapefile")
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poDS = dr.Open( filename )
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if poDS == None:
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raise "Open failed."
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poLayer = poDS.GetLayer( 0 )
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fieldNameList = []
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layerDefinition = poLayer.GetLayerDefn()
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for i in range(layerDefinition.GetFieldCount()):
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fieldNameList.append(layerDefinition.GetFieldDefn(i).GetName())
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# sys.stderr.write(",".join(fieldNameList))
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poLayer.ResetReading()
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ret = []
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poFeature = poLayer.GetNextFeature()
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while poFeature:
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tags = {}
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# WAY ID
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tags["tiger:way_id"] = int( poFeature.GetField("TLID") )
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# FEATURE IDENTIFICATION
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mtfcc = poFeature.GetField("MTFCC");
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if mtfcc != None:
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if mtfcc == "L4010": #Pipeline
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tags["man_made"] = "pipeline"
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if mtfcc == "L4020": #Powerline
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tags["power"] = "line"
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if mtfcc == "L4031": #Aerial Tramway/Ski Lift
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tags["aerialway"] = "cable_car"
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if mtfcc == "L4110": #Fence Line
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tags["barrier"] = "fence"
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if mtfcc == "L4125": #Cliff/Escarpment
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tags["natural"] = "cliff"
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if mtfcc == "L4165": #Ferry Crossing
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tags["route"] = "ferry"
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if mtfcc == "R1011": #Railroad Feature (Main, Spur, or Yard)
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tags["railway"] = "rail"
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ttyp = poFeature.GetField("TTYP")
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if ttyp != None:
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if ttyp == "S":
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tags["service"] = "spur"
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if ttyp == "Y":
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tags["service"] = "yard"
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tags["tiger:ttyp"] = ttyp
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if mtfcc == "R1051": #Carline, Streetcar Track, Monorail, Other Mass Transit Rail)
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tags["railway"] = "light_rail"
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if mtfcc == "R1052": #Cog Rail Line, Incline Rail Line, Tram
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tags["railway"] = "incline"
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if mtfcc == "S1100":
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tags["highway"] = "primary"
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if mtfcc == "S1200":
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tags["highway"] = "secondary"
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if mtfcc == "S1400":
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tags["highway"] = "residential"
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if mtfcc == "S1500":
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tags["highway"] = "track"
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if mtfcc == "S1630": #Ramp
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tags["highway"] = "motorway_link"
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if mtfcc == "S1640": #Service Drive usually along a limited access highway
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tags["highway"] = "service"
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if mtfcc == "S1710": #Walkway/Pedestrian Trail
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tags["highway"] = "path"
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if mtfcc == "S1720":
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tags["highway"] = "steps"
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if mtfcc == "S1730": #Alley
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tags["highway"] = "service"
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tags["service"] = "alley"
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if mtfcc == "S1740": #Private Road for service vehicles (logging, oil, fields, ranches, etc.)
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tags["highway"] = "service"
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tags["access"] = "private"
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if mtfcc == "S1750": #Private Driveway
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tags["highway"] = "service"
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tags["access"] = "private"
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tags["service"] = "driveway"
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if mtfcc == "S1780": #Parking Lot Road
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tags["highway"] = "service"
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tags["service"] = "parking_aisle"
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if mtfcc == "S1820": #Bike Path or Trail
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tags["highway"] = "cycleway"
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if mtfcc == "S1830": #Bridle Path
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tags["highway"] = "bridleway"
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tags["tiger:mtfcc"] = mtfcc
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# FEATURE NAME
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if poFeature.GetField("FULLNAME"):
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#capitalizes the first letter of each word
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name = poFeature.GetField( "FULLNAME" )
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tags["name"] = name
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#Attempt to guess highway grade
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if name[0:2] == "I-":
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tags["highway"] = "motorway"
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if name[0:3] == "US ":
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tags["highway"] = "primary"
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if name[0:3] == "US-":
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tags["highway"] = "primary"
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if name[0:3] == "Hwy":
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if tags["highway"] != "primary":
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tags["highway"] = "secondary"
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# TIGER 2017 no longer contains this field
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if 'DIVROAD' in fieldNameList:
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divroad = poFeature.GetField("DIVROAD")
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if divroad != None:
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if divroad == "Y" and "highway" in tags and tags["highway"] == "residential":
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tags["highway"] = "tertiary"
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tags["tiger:separated"] = divroad
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statefp = poFeature.GetField("STATEFP")
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countyfp = poFeature.GetField("COUNTYFP")
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if (statefp != None) and (countyfp != None):
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county_name = county_fips_data.get(statefp + '' + countyfp)
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if county_name:
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tags["tiger:county"] = county_name.encode("utf-8")
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# tlid = poFeature.GetField("TLID")
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# if tlid != None:
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# tags["tiger:tlid"] = tlid
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lfromadd = poFeature.GetField("LFROMADD")
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if lfromadd != None:
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tags["tiger:lfromadd"] = lfromadd
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rfromadd = poFeature.GetField("RFROMADD")
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if rfromadd != None:
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tags["tiger:rfromadd"] = rfromadd
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ltoadd = poFeature.GetField("LTOADD")
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if ltoadd != None:
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tags["tiger:ltoadd"] = ltoadd
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rtoadd = poFeature.GetField("RTOADD")
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if rtoadd != None:
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tags["tiger:rtoadd"] = rtoadd
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zipl = poFeature.GetField("ZIPL")
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if zipl != None:
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tags["tiger:zip_left"] = zipl
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zipr = poFeature.GetField("ZIPR")
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if zipr != None:
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tags["tiger:zip_right"] = zipr
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if mtfcc not in ignoremtfcc:
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# COPY DOWN THE GEOMETRY
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geom = []
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rawgeom = poFeature.GetGeometryRef()
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for i in range( rawgeom.GetPointCount() ):
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geom.append( (rawgeom.GetX(i), rawgeom.GetY(i)) )
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ret.append( (geom, tags) )
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poFeature = poLayer.GetNextFeature()
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return ret
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# ====================================
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# to do read .prj file for this data
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# Change the Projcs_wkt to match your datas prj file.
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# ====================================
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projcs_wkt = \
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"""GEOGCS["GCS_North_American_1983",
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DATUM["D_North_American_1983",
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SPHEROID["GRS_1980",6378137,298.257222101]],
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PRIMEM["Greenwich",0],
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UNIT["Degree",0.017453292519943295]]"""
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from_proj = osr.SpatialReference()
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from_proj.ImportFromWkt( projcs_wkt )
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# output to WGS84
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to_proj = osr.SpatialReference()
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to_proj.SetWellKnownGeogCS( "EPSG:4326" )
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tr = osr.CoordinateTransformation( from_proj, to_proj )
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import math
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def length(segment, nodelist):
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'''Returns the length (in feet) of a segment'''
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first = True
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distance = 0
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lat_feet = 364613 #The approximate number of feet in one degree of latitude
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for point in segment:
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pointid, (lat, lon) = nodelist[ round_point( point ) ]
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if first:
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first = False
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else:
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#The approximate number of feet in one degree of longitute
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lrad = math.radians(lat)
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lon_feet = 365527.822 * math.cos(lrad) - 306.75853 * math.cos(3 * lrad) + 0.3937 * math.cos(5 * lrad)
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distance += math.sqrt(((lat - previous[0])*lat_feet)**2 + ((lon - previous[1])*lon_feet)**2)
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previous = (lat, lon)
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return distance
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def addressways(waylist, nodelist, first_id):
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id = first_id
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lat_feet = 364613 #The approximate number of feet in one degree of latitude
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distance = float(address_distance)
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ret = []
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for waykey, segments in waylist.items():
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waykey = dict(waykey)
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rsegments = []
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lsegments = []
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for segment in segments:
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lsegment = []
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rsegment = []
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lastpoint = None
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# Don't pull back the ends of very short ways too much
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seglength = length(segment, nodelist)
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if seglength < float(address_pullback) * 3.0:
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pullback = seglength / 3.0
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else:
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pullback = float(address_pullback)
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if "tiger:lfromadd" in waykey:
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lfromadd = waykey["tiger:lfromadd"]
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else:
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lfromadd = None
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if "tiger:ltoadd" in waykey:
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ltoadd = waykey["tiger:ltoadd"]
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else:
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ltoadd = None
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if "tiger:rfromadd" in waykey:
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rfromadd = waykey["tiger:rfromadd"]
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else:
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rfromadd = None
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if "tiger:rtoadd" in waykey:
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rtoadd = waykey["tiger:rtoadd"]
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else:
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rtoadd = None
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if rfromadd != None and rtoadd != None:
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right = True
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else:
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right = False
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if lfromadd != None and ltoadd != None:
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left = True
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else:
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left = False
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if left or right:
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first = True
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firstpointid, firstpoint = nodelist[ round_point( segment[0] ) ]
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finalpointid, finalpoint = nodelist[ round_point( segment[len(segment) - 1] ) ]
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for point in segment:
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pointid, (lat, lon) = nodelist[ round_point( point ) ]
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#The approximate number of feet in one degree of longitute
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lrad = math.radians(lat)
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lon_feet = 365527.822 * math.cos(lrad) - 306.75853 * math.cos(3 * lrad) + 0.3937 * math.cos(5 * lrad)
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#Calculate the points of the offset ways
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if lastpoint != None:
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#Skip points too close to start
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if math.sqrt((lat * lat_feet - firstpoint[0] * lat_feet)**2 + (lon * lon_feet - firstpoint[1] * lon_feet)**2) < pullback:
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#Preserve very short ways (but will be rendered backwards)
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if pointid != finalpointid:
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continue
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#Skip points too close to end
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if math.sqrt((lat * lat_feet - finalpoint[0] * lat_feet)**2 + (lon * lon_feet - finalpoint[1] * lon_feet)**2) < pullback:
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#Preserve very short ways (but will be rendered backwards)
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if (pointid != firstpointid) and (pointid != finalpointid):
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continue
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X = (lon - lastpoint[1]) * lon_feet
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Y = (lat - lastpoint[0]) * lat_feet
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if Y != 0:
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theta = math.pi/2 - math.atan( X / Y)
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Xp = math.sin(theta) * distance
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Yp = math.cos(theta) * distance
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else:
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Xp = 0
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if X > 0:
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Yp = -distance
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else:
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Yp = distance
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if Y > 0:
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Xp = -Xp
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else:
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Yp = -Yp
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if first:
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first = False
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dX = - (Yp * (pullback / distance)) / lon_feet #Pull back the first point
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dY = (Xp * (pullback / distance)) / lat_feet
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if left:
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lpoint = (lastpoint[0] + (Yp / lat_feet) - dY, lastpoint[1] + (Xp / lon_feet) - dX)
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lsegment.append( (id, lpoint) )
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id += 1
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if right:
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rpoint = (lastpoint[0] - (Yp / lat_feet) - dY, lastpoint[1] - (Xp / lon_feet) - dX)
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rsegment.append( (id, rpoint) )
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id += 1
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else:
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#round the curves
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if delta[1] != 0:
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theta = abs(math.atan(delta[0] / delta[1]))
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else:
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theta = math.pi / 2
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if Xp != 0:
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theta = theta - abs(math.atan(Yp / Xp))
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else: theta = theta - math.pi / 2
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r = 1 + abs(math.tan(theta/2))
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if left:
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lpoint = (lastpoint[0] + (Yp + delta[0]) * r / (lat_feet * 2), lastpoint[1] + (Xp + delta[1]) * r / (lon_feet * 2))
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lsegment.append( (id, lpoint) )
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id += 1
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if right:
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rpoint = (lastpoint[0] - (Yp + delta[0]) * r / (lat_feet * 2), lastpoint[1] - (Xp + delta[1]) * r / (lon_feet * 2))
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rsegment.append( (id, rpoint) )
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id += 1
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delta = (Yp, Xp)
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lastpoint = (lat, lon)
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#Add in the last node
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dX = - (Yp * (pullback / distance)) / lon_feet
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dY = (Xp * (pullback / distance)) / lat_feet
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if left:
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lpoint = (lastpoint[0] + (Yp + delta[0]) / (lat_feet * 2) + dY, lastpoint[1] + (Xp + delta[1]) / (lon_feet * 2) + dX )
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lsegment.append( (id, lpoint) )
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id += 1
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if right:
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rpoint = (lastpoint[0] - Yp / lat_feet + dY, lastpoint[1] - Xp / lon_feet + dX)
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rsegment.append( (id, rpoint) )
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id += 1
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#Generate the tags for ways and nodes
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zipr = ''
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zipl = ''
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name = ''
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county = ''
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if "tiger:zip_right" in waykey:
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zipr = waykey["tiger:zip_right"]
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if "tiger:zip_left" in waykey:
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zipl = waykey["tiger:zip_left"]
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if "name" in waykey:
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name = waykey["name"]
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if "tiger:county" in waykey:
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county = waykey["tiger:county"]
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if "tiger:separated" in waykey: # No longer set in Tiger-2017
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separated = waykey["tiger:separated"]
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else:
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separated = "N"
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#Write the nodes of the offset ways
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if right:
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rlinestring = [];
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for i, point in rsegment:
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rlinestring.append( "%f %f" % (point[1], point[0]) )
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if left:
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llinestring = [];
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for i, point in lsegment:
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llinestring.append( "%f %f" % (point[1], point[0]) )
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if right:
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rsegments.append( rsegment )
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if left:
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lsegments.append( lsegment )
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rtofromint = right #Do the addresses convert to integers?
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ltofromint = left #Do the addresses convert to integers?
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if right:
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try: rfromint = int(rfromadd)
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except:
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print("Non integer address: %s" % rfromadd)
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rtofromint = False
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try: rtoint = int(rtoadd)
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except:
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print("Non integer address: %s" % rtoadd)
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rtofromint = False
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if left:
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try: lfromint = int(lfromadd)
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except:
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print("Non integer address: %s" % lfromadd)
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ltofromint = False
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try: ltoint = int(ltoadd)
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except:
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print("Non integer address: %s" % ltoadd)
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ltofromint = False
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if right:
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id += 1
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interpolationtype = "all";
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if rtofromint:
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if (rfromint % 2) == 0 and (rtoint % 2) == 0:
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if separated == "Y": #Doesn't matter if there is another side
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interpolationtype = "even";
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elif ltofromint and (lfromint % 2) == 1 and (ltoint % 2) == 1:
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interpolationtype = "even";
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elif (rfromint % 2) == 1 and (rtoint % 2) == 1:
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if separated == "Y": #Doesn't matter if there is another side
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interpolationtype = "odd";
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elif ltofromint and (lfromint % 2) == 0 and (ltoint % 2) == 0:
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interpolationtype = "odd";
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ret.append( "SELECT tiger_line_import(ST_GeomFromText('LINESTRING(%s)',4326), %s, %s, %s, %s, %s, %s);" %
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( ",".join(rlinestring), sql_quote(rfromadd), sql_quote(rtoadd), sql_quote(interpolationtype), sql_quote(name), sql_quote(county), sql_quote(zipr) ) )
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if left:
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id += 1
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|
|
interpolationtype = "all";
|
|
if ltofromint:
|
|
if (lfromint % 2) == 0 and (ltoint % 2) == 0:
|
|
if separated == "Y":
|
|
interpolationtype = "even";
|
|
elif rtofromint and (rfromint % 2) == 1 and (rtoint % 2) == 1:
|
|
interpolationtype = "even";
|
|
elif (lfromint % 2) == 1 and (ltoint % 2) == 1:
|
|
if separated == "Y":
|
|
interpolationtype = "odd";
|
|
elif rtofromint and (rfromint %2 ) == 0 and (rtoint % 2) == 0:
|
|
interpolationtype = "odd";
|
|
|
|
ret.append( "SELECT tiger_line_import(ST_GeomFromText('LINESTRING(%s)',4326), %s, %s, %s, %s, %s, %s);" %
|
|
( ",".join(llinestring), sql_quote(lfromadd), sql_quote(ltoadd), sql_quote(interpolationtype), sql_quote(name), sql_quote(county), sql_quote(zipl) ) )
|
|
|
|
return ret
|
|
|
|
def sql_quote( string ):
|
|
return "'" + string.replace("'", "''") + "'"
|
|
|
|
def unproject( point ):
|
|
pt = tr.TransformPoint( point[0], point[1] )
|
|
return (pt[1], pt[0])
|
|
|
|
def round_point( point, accuracy=8 ):
|
|
return tuple( [ round(x,accuracy) for x in point ] )
|
|
|
|
def compile_nodelist( parsed_gisdata, first_id=1 ):
|
|
nodelist = {}
|
|
|
|
i = first_id
|
|
for geom, tags in parsed_gisdata:
|
|
if len( geom )==0:
|
|
continue
|
|
|
|
for point in geom:
|
|
r_point = round_point( point )
|
|
if r_point not in nodelist:
|
|
nodelist[ r_point ] = (i, unproject( point ))
|
|
i += 1
|
|
|
|
return (i, nodelist)
|
|
|
|
def adjacent( left, right ):
|
|
left_left = round_point(left[0])
|
|
left_right = round_point(left[-1])
|
|
right_left = round_point(right[0])
|
|
right_right = round_point(right[-1])
|
|
|
|
return ( left_left == right_left or
|
|
left_left == right_right or
|
|
left_right == right_left or
|
|
left_right == right_right )
|
|
|
|
def glom( left, right ):
|
|
left = list( left )
|
|
right = list( right )
|
|
|
|
left_left = round_point(left[0])
|
|
left_right = round_point(left[-1])
|
|
right_left = round_point(right[0])
|
|
right_right = round_point(right[-1])
|
|
|
|
if left_left == right_left:
|
|
left.reverse()
|
|
return left[0:-1] + right
|
|
|
|
if left_left == right_right:
|
|
return right[0:-1] + left
|
|
|
|
if left_right == right_left:
|
|
return left[0:-1] + right
|
|
|
|
if left_right == right_right:
|
|
right.reverse()
|
|
return left[0:-1] + right
|
|
|
|
raise 'segments are not adjacent'
|
|
|
|
def glom_once( segments ):
|
|
if len(segments)==0:
|
|
return segments
|
|
|
|
unsorted = list( segments )
|
|
x = unsorted.pop(0)
|
|
|
|
while len( unsorted ) > 0:
|
|
n = len( unsorted )
|
|
|
|
for i in range(0, n):
|
|
y = unsorted[i]
|
|
if adjacent( x, y ):
|
|
y = unsorted.pop(i)
|
|
x = glom( x, y )
|
|
break
|
|
|
|
# Sorted and unsorted lists have no adjacent segments
|
|
if len( unsorted ) == n:
|
|
break
|
|
|
|
return x, unsorted
|
|
|
|
def glom_all( segments ):
|
|
unsorted = segments
|
|
chunks = []
|
|
|
|
while unsorted != []:
|
|
chunk, unsorted = glom_once( unsorted )
|
|
chunks.append( chunk )
|
|
|
|
return chunks
|
|
|
|
|
|
|
|
def compile_waylist( parsed_gisdata ):
|
|
waylist = {}
|
|
|
|
#Group by tiger:way_id
|
|
for geom, tags in parsed_gisdata:
|
|
way_key = tags.copy()
|
|
way_key = ( way_key['tiger:way_id'], tuple( [(k,v) for k,v in way_key.items()] ) )
|
|
|
|
if way_key not in waylist:
|
|
waylist[way_key] = []
|
|
|
|
waylist[way_key].append( geom )
|
|
|
|
ret = {}
|
|
for (way_id, way_key), segments in waylist.items():
|
|
ret[way_key] = glom_all( segments )
|
|
return ret
|
|
|
|
|
|
def shape_to_sql( shp_filename, sql_filename ):
|
|
|
|
print("parsing shpfile %s" % shp_filename)
|
|
parsed_features = parse_shp_for_geom_and_tags( shp_filename )
|
|
|
|
print("compiling nodelist")
|
|
i, nodelist = compile_nodelist( parsed_features )
|
|
|
|
print("compiling waylist")
|
|
waylist = compile_waylist( parsed_features )
|
|
|
|
print("preparing address ways")
|
|
sql_lines = addressways(waylist, nodelist, i)
|
|
|
|
print("writing %s" % sql_filename)
|
|
fp = open( sql_filename, "w" )
|
|
fp.write( "\n".join( sql_lines ) )
|
|
fp.close()
|
|
|
|
if __name__ == '__main__':
|
|
import sys, os.path
|
|
if len(sys.argv) < 3:
|
|
print("%s input.shp output.sql" % sys.argv[0])
|
|
sys.exit()
|
|
shp_filename = sys.argv[1]
|
|
sql_filename = sys.argv[2]
|
|
shape_to_sql(shp_filename, sql_filename)
|