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cmd_searchAreas_DEM.pyt
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cmd_searchAreas_DEM.pyt
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619
##This program was written to help remove issues in lidar DEMs caused
##by poor performance of interpolation algorithms in specific lcocations
##It is part of a series of DEM processing algorithms designed to improve
##flow of water across an elevaiton surface.
##
##Primarily written by Brian Gelder, [email protected]
##Substantial help/advice from David James
##
##Separate code section created on 2019 February 26.
##for Python 2.7 and ArcGIS 10.3.1
# changed mergedMdnsFC to mergedMdnsHuc8FC - 2021.02.02 bkgelder
# fixed copying error when no mergedMdns were found
## 2022.06.09 - fixed some railroad processing outputs so they saved correctly to gdb using os.path.join(), previously concatenating string - bkgelder
# 2024.02.19 - moved code to Python 3
# Import system modules
import arcpy
import sys
import os
import traceback
import time
import platform
from math import sqrt, atan2, pi
from arcpy.sa import *
sys.path.append("C:\\DEP\\Scripts\\basics")
import dem_functions as df
from os.path import join as opj
import winsound
class Toolbox(object):
def __init__(self):
"""Define the toolbox (the name of the toolbox is the name of the
.pyt file)."""
self.label = "Toolbox"
self.alias = "toolbox"
# List of tool classes associated with this toolbox
self.tools = [Tool]
class Tool(object):
def __init__(self):
"""Define the tool (tool name is the name of the class)."""
self.label = "Hole_Puncher"
self.description = "Punches holes in a DEM and fills remaining to remove depressions shallower than a criteria"
self.canRunInBackground = False
def getParameterInfo(self):
"""Define parameter definitions"""
param0 = arcpy.Parameter(
displayName="Input Elevation Model",
datatype="DERasterDataset",
parameterType='Required',
direction="Input")
param1 = arcpy.Parameter(
displayName="Output Punched Elevation Model",
datatype="DERasterDataset",
parameterType='Required',
direction="Output")
param2 = arcpy.Parameter(
displayName="Punched DEM metadata template",
datatype="GPDataFile",
parameterType='Required',
direction="Input")
param3 = arcpy.Parameter(
name="depressions_fc",
displayName="Punched depressions feature class",
datatype="DEFeatureClass",
parameterType='Required',
direction="Output")
param4 = arcpy.Parameter(
displayName="Depression Punch Depth Threshold",
datatype="GPString",
parameterType='Required',
direction="Input")
param5 = arcpy.Parameter(
displayName="Depression Punch Area Threshold",
datatype="GPString",
parameterType='Optional',
direction="Input")
param6 = arcpy.Parameter(
displayName="Depression Punch Area Threshold",
datatype="GPString",
parameterType='Optional',
direction="Input")
param7 = arcpy.Parameter(
name = "procDir",
displayName="Local Processing Directory",
datatype="DEFolder",
parameterType='Optional',
direction="Input")
parameters = [param0, param1, param2, param3, param4, param5, param6, param7]
return parameters
def isLicensed(self):
"""Set whether tool is licensed to execute."""
return True
def updateParameters(self, parameters):
"""Modify the values and properties of parameters before internal
validation is performed. This method is called whenever a parameter
has been changed."""
return
def updateMessages(self, parameters):
"""Modify the messages created by internal validation for each tool
parameter. This method is called after internal validation."""
return
def execute(self, parameters, messages):
"""The source code of the tool."""
cleanup = False
params = parameters
doSearcher(params[0].valueAsText, params[1].valueAsText, params[2].valueAsText, params[3].valueAsText, params[4].valueAsText, params[5].valueAsText, params[6].valueAsText, params[7].valueAsText, cleanup, messages)
return
def postExecute(self, parameters):
"""This method takes place after outputs are processed and
added to the display."""
return
# def doSearcher(input_dem, huc8fc, roadsFC, rrsFC, apFC, mergedMdnsHuc8FC, huc8RoadsFC, procDir, cleanup, messages):
class msgStub:
def addMessage(self,text):
arcpy.AddMessage(text)
def addErrorMessage(self,text):
arcpy.AddErrorMessage(text)
def addWarningMessage(self,text):
arcpy.AddWarningMessage(text)
if __name__ == "__main__":
##if True:
if len(sys.argv) == 1:
arcpy.AddMessage("Whoo, hoo! Running from Python Window!")
cleanup = False
parameters = ["C:/Program Files/ArcGIS/Pro/bin/Python/envs/arcgispro-py3/pythonw.exe",
"C:/DEP/Scripts/basics/cmd_searchAreas_DEM.pyt",
"C:/DEP/LiDAR_Current/elev_FLib_mean18/07080105/ef3m070801050901.tif",
"C:/DEP/Basedata_Summaries/Basedata_26915.gdb/MW_HUC8_v2022",
"C:/DEP/Basedata_Summaries/Basedata_26915.gdb/roads_merge",
"C:/DEP/Basedata_Summaries/Basedata_26915.gdb/railways_merge",
"C:/DEP/Basedata_Summaries/Basedata_26915.gdb/runways",
"C:/DEP_bkg_search_newtest/LiDAR_Current/huc8_26915/huc_07080105.gdb/rd_rr_rd_rw_mrg_07080105",
"C:/DEP_bkg_search_newtest/LiDAR_Current/huc8_26915/huc_07080105.gdb/roads_07080105",
"C:/DEP_Proc_bkg_search_newtest/Median_Proc/Medians_26915_07080105"]
for i in parameters[2:]:
sys.argv.append(i)
else:
arcpy.AddMessage("Whoo, hoo! Command-line enabled!")
# clean up the folder after done processing
cleanup = True
messages = msgStub()
# inputs
input_dem = sys.argv[1]
huc8fc = sys.argv[2]
roadsFC = sys.argv[3]
rrsFC = sys.argv[4]
apFC = sys.argv[5]
# outputs
mergedMdnsHuc8FC = sys.argv[6]
huc8RoadsFC = sys.argv[7]
# local processing directory
procDir = sys.argv[8]
# doSearcher(input_dem, huc8fc, roadsFC, rrsFC, apFC, mergedMdnsHuc8FC, huc8RoadsFC, procDir, cleanup, messages)
# arcpy.AddMessage("Back from doing!")
try:
arguments = [input_dem, huc8fc, roadsFC, rrsFC, apFC, mergedMdnsHuc8FC, huc8RoadsFC, procDir, cleanup]
for a in arguments:
if a == arguments[0]:
arg_str = str(a) + '\n'
else:
arg_str += str(a) + '\n'
messages.addMessage("Tool: Executing with parameters:\n" + arg_str)
huc12, huc8, ProcSize = df.figureItOut(input_dem)
if cleanup:
# log to file only
log, nowYmd, logName, startTime = df.setupLoggingNoCh(platform.node(), sys.argv[0], huc12)
verbose = False
arcpy.SetLogHistory = False
else:
# log to file and console
log, nowYmd, logName, startTime = df.setupLoggingNew(platform.node(), sys.argv[0], huc12)
verbose = True
arcpy.SetLogHistory = True
startTime = time.time()
log.info("Beginning execution: " + time.asctime())
messages.addMessage("Log file at " + logName)
log.info("Tool: Executing with parameters:\n" + arg_str)
log.info('log file is ' + logName)
arcpy.CheckOutExtension("Spatial")
arcpy.env.overwriteOutput = True
arcpy.env.snapRaster = input_dem
arcpy.env.cellSize = input_dem
ProcSize = int(arcpy.Raster(input_dem).meanCellHeight)
####------------------------------------------------------------------------------
if not os.path.isdir(procDir):
os.makedirs(procDir)
arcpy.env.scratchWorkspace = procDir
## Set the environments
## ## If you set a scratch workspace first you can control where the scratchGDB or scratchFolder are created
## ## otherwise it defaults to a user's temp folder
## ## if you don't set anything it will go to 'in_memory'
##
## sfldr = arcpy.env.scratchFolder
gdb = arcpy.env.scratchGDB
arcpy.env.scratchWorkspace = gdb
arcpy.env.workspace = gdb
inm = 'in_memory'
huc8gdb = os.path.dirname(huc8RoadsFC)
if not arcpy.Exists(huc8gdb):
if not os.path.isdir(os.path.dirname(huc8gdb)):
os.makedirs(os.path.dirname(huc8gdb))
huc8gdbResult = arcpy.CreateFileGDB_management(os.path.dirname(huc8gdb), os.path.basename(huc8gdb))
####------------------------------------------------------------------------------
#### ## Create a layer of WBD boundary to buffer and clip datasets with
huc8Lyr = arcpy.MakeFeatureLayer_management(huc8fc, 'HUC12FCLayer', '"HUC8" = \'' + huc8 + "'")
# bnd = arcpy.CopyFeatures_management(huc8Lyr, opj(gdb, "bnd_" + huc8))
bndBuffer = arcpy.Buffer_analysis(huc8Lyr, opj(gdb, 'buf_' + huc8 + '_1km'), '1000 METER')
log.debug("Processing road clip and buffer distance at " + time.asctime())
try:
mergedMdnList = []
## Calculate additional search distance needed to cross roads, railroads, runways
hucRoadsIncService = arcpy.Clip_analysis(roadsFC, bndBuffer, opj(inm, "roads_all"))
if 'fclass' in df.getfields(hucRoadsIncService):
hucRoadsWhole = arcpy.Select_analysis(hucRoadsIncService, opj(inm, 'roads'), 'fclass <> \'service\' AND fclass <> \'path\'AND fclass <> \'cycleway\'AND fclass <> \'footway\'')
else:
hucRoadsWhole = arcpy.Select_analysis(hucRoadsIncService, opj(inm, 'roads'), 'type <> \'service\' AND type <> \'path\'')
hucRoads = arcpy.FeatureToLine_management(hucRoadsWhole, opj(inm, 'roads_broken'))
hucRoadsCopy = arcpy.CopyFeatures_management(hucRoads, huc8RoadsFC)
if 'fclass' in df.getfields(hucRoads):
# mwRoadsOld = arcpy.Select_analysis(hucRoads, opj(gdb, 'huc_roads_old'), 'oneway = \'F\' AND fclass NOT LIKE \'%_link\'')#<> \'motorway_link\'')
mwRoads = arcpy.Select_analysis(hucRoads, opj(gdb, 'huc_roads_mw'), 'oneway <> \'B\' AND (fclass = \'motorway\' OR fclass = \'primary\' OR fclass = \'trunk\')')
else:
mwRoads = arcpy.Select_analysis(hucRoads, opj(gdb, 'huc_roads_mw'), '"oneway" = 1 AND "TYPE" NOT LIKE \'%_link\'')
descMwRoads = arcpy.Describe(mwRoads)
mwRoadsGNT = arcpy.GenerateNearTable_analysis(mwRoads, mwRoads, 'mw_roads_gnt', '50 METERS', closest = 'ALL', closest_count = 10, location = 'LOCATION', angle = 'ANGLE')
mwRoadsExtraSearch = arcpy.TableSelect_analysis(mwRoadsGNT, 'mw_roads_xtra_search', '"NEAR_DIST" > 1')
arcpy.JoinField_management(mwRoads, descMwRoads.OIDFieldName, mwRoadsExtraSearch, 'IN_FID', ['NEAR_DIST', 'FROM_X', 'FROM_Y', 'NEAR_X', 'NEAR_Y'])#osm_id')
mwRoadsMdn = arcpy.Select_analysis(mwRoads, opj(inm, 'mw_roads_mdn'), 'NEAR_DIST > 0')
if int(arcpy.GetCount_management(mwRoadsMdn).getOutput(0)) > 0:
rdMedianNearLine = arcpy.XYToLine_management(mwRoadsMdn, opj(inm, 'mdn_roads_near_lines'), 'FROM_X', 'FROM_Y', 'NEAR_X', 'NEAR_Y', spatial_reference = mwRoads)
rdMedianNearLineCentroid = arcpy.CreateFeatureclass_management(inm, 'rd_mdn_poly_centroid', 'POINT', spatial_reference = mwRoads)
df.tryAddField(rdMedianNearLineCentroid, 'NEAR_DIST', 'DOUBLE')
iCurCentroid = arcpy.da.InsertCursor(rdMedianNearLineCentroid, ['SHAPE@', 'NEAR_DIST'])
with arcpy.da.SearchCursor(rdMedianNearLine, ['SHAPE@XY', 'SHAPE@LENGTH']) as sCurCentroid:
for sRowCentroid in sCurCentroid:
if sRowCentroid[0] != None:
iCurCentroid.insertRow([arcpy.Point(sRowCentroid[0][0],sRowCentroid[0][1]), sRowCentroid[1]])
del iCurCentroid
ftpRoadsBuf = arcpy.FeatureToPolygon_management([hucRoads, bndBuffer], opj(inm, 'rd_buf_ftp'))
ftpRoadsBufLayer = arcpy.MakeFeatureLayer_management(ftpRoadsBuf, 'ftp_rd_buf_layer')
rdParallelNear = arcpy.SelectLayerByLocation_management(ftpRoadsBufLayer, 'CONTAINS_CLEMENTINI', rdMedianNearLineCentroid)
rdMdnPrelim = arcpy.CopyFeatures_management(ftpRoadsBufLayer, opj(inm, 'rd_mdn_polys_prelim'))
log.info(f"Road Median Prelim count is: " + arcpy.GetCount_management(rdMdnPrelim).getOutput(0))
## ## filter out the polygons not really close to the raods with medians
df.tryAddField(rdMdnPrelim, 'ID_RD_MDN', 'LONG')
with arcpy.da.UpdateCursor(rdMdnPrelim, ['ID_RD_MDN', 'OID@']) as ucur:
for urow in ucur:
urow[0] = urow[1]
ucur.updateRow(urow)
mwRoadsBuffer = arcpy.Buffer_analysis(mwRoads, buffer_distance_or_field = '50 METERS')
rdMdnClip = arcpy.Clip_analysis(rdMdnPrelim, mwRoadsBuffer)
valueDict = {r[0]:(r[1:]) for r in arcpy.da.SearchCursor(rdMdnClip, ['ID_RD_MDN', 'SHAPE@AREA'])}
df.tryAddField(rdMdnPrelim, 'AREA_CLIP', 'DOUBLE')
df.tryAddField(rdMdnPrelim, 'AREA_TRUE', 'DOUBLE')
fields_to_join = ['AREA_CLIP']#'ID_RD_MDN',
with arcpy.da.UpdateCursor(rdMdnPrelim, ['ID_RD_MDN'] + fields_to_join + ['AREA_TRUE', 'SHAPE@AREA']) as ucur:
for urow in ucur:
# store the Join value of the row being updated in a keyValue variable
keyValue = urow[0]
# verify that the keyValue is in the Dictionary
if keyValue in valueDict:
for i, field in enumerate(fields_to_join):
urow[i+1] = valueDict[keyValue][i]
urow[-2] = urow[-1]
ucur.updateRow(urow)
del valueDict
rdMdn = arcpy.Select_analysis(rdMdnPrelim, where_clause = 'AREA_CLIP/AREA_TRUE > 0.99')
log.info(f"Road Medians count is: " + arcpy.GetCount_management(rdMdn).getOutput(0))
mergedMdnList.append(rdMdn)
## ---------------------------------------------------------------------
## Find parallel road/railroad sections
## Find railroads that are near and parallel to roads and define area between as a median
## Buffer the railroads so they become a polygon that we can intersect with road and RR search buffers and determine if points cross one of these features
hucRailroadsPrelim = arcpy.Clip_analysis(rrsFC, bndBuffer, opj(inm, "rrs_prelim"))
## Start railroad processing
if df.testForZero(hucRailroadsPrelim):
types = ['abandoned', 'light_rail', 'rail', 'preserved', 'yard']
if 'fclass' in df.getfields(hucRailroadsPrelim):
sel = df.buildStringSelection(types, 'fclass')
else:# assume 'type' field in OSM data
sel = df.buildStringSelection(types, 'type')
hucRailroads = arcpy.Select_analysis(hucRailroadsPrelim, opj(inm, 'rrs'), sel)
df.copyfc(verbose, hucRailroads, gdb)
if df.testForZero(hucRailroads):
ftpRoadsRRsBuf = arcpy.FeatureToPolygon_management([hucRoads, hucRailroads, bndBuffer], opj(gdb, 'rd_rr_buf_ftp'))
## Slice railroads into short features so we can compare railroad and road bearings
hucRailDissolve = arcpy.CreateFeatureclass_management(gdb, 'hucRail10', template = hucRailroads, spatial_reference = hucRailroads)
initFields = df.getfields(hucRailDissolve)[2:-1]
descRRLong = arcpy.Describe(hucRailDissolve)
iCur = arcpy.da.InsertCursor(hucRailDissolve, [u'Shape@'] + initFields)
splitEvery = 250 #METERS
with arcpy.da.SearchCursor(hucRailroads, [u'Shape@'] + initFields) as lines:
for line in lines:
if line[0].length > splitEvery:
out_count = int(line[0].length/splitEvery)
for i in range(0, out_count):
part = line[0].segmentAlongLine(i/float(out_count), ((i+1)/float(out_count)), True)
partList = [part]
for j in line[1:]:
partList.append(j)
iCur.insertRow(partList)
else:
iCur.insertRow(line)
del iCur, line, lines
df.tryAddField(hucRailDissolve, "HUC_FID", "LONG")
arcpy.CalculateField_management(hucRailDissolve, "HUC_FID", '!OBJECTID!', "PYTHON")
df.tryAddField(hucRailDissolve, 'BEARING', 'DOUBLE')
with arcpy.da.UpdateCursor(hucRailDissolve, ['OID@', 'SHAPE@', 'BEARING']) as ucur:
for urow in ucur:
## Calculate the distance (hypotenuse) and angle between previous and current point
initPnt = urow[1].firstPoint
endPnt = urow[1].lastPoint
pnt_dx = endPnt.X - initPnt.X
pnt_dy = endPnt.Y - initPnt.Y
bearingAngle = atan2(pnt_dx, pnt_dy)*(360.0/(2*pi))
urow[2] = bearingAngle
ucur.updateRow(urow)
## First find roads that are in this buffer area
rrRdBufferDist = '40 METERS'
hucRRsBuffer = arcpy.Buffer_analysis(hucRailDissolve, opj(inm, 'rrs_bfr'), rrRdBufferDist, line_end_type = 'FLAT')
roadsInRRsBuffer = arcpy.Clip_analysis(hucRoads, hucRRsBuffer, opj(inm, 'rds_in_rr_bfr'))
df.copyfc(verbose, roadsInRRsBuffer, gdb)
df.tryAddField(roadsInRRsBuffer, "HUC_RD_ID", "LONG")
arcpy.CalculateField_management(roadsInRRsBuffer, "HUC_RD_ID", '!OBJECTID!', "PYTHON")
## Calculate bearing of road section
df.tryAddField(roadsInRRsBuffer, 'BEARING', 'DOUBLE')
with arcpy.da.UpdateCursor(roadsInRRsBuffer, ['OID@', 'SHAPE@', 'BEARING']) as ucur:
for urow in ucur:
## Calculate the distance (hypotenuse) and angle between previous and current point
initPnt = urow[1].firstPoint
endPnt = urow[1].lastPoint
pnt_dx = endPnt.X - initPnt.X
pnt_dy = endPnt.Y - initPnt.Y
bearingAngle = atan2(pnt_dx, pnt_dy)*(360.0/(2*pi))
urow[2] = bearingAngle
ucur.updateRow(urow)
df.copyfc(verbose, roadsInRRsBuffer, gdb)
rdsRRsGNT = arcpy.GenerateNearTable_analysis(hucRailDissolve, roadsInRRsBuffer, opj(inm, 'rds_in_rrs_gnt'), rrRdBufferDist, location = 'LOCATION', angle = "ANGLE", closest = "ALL")
df.addCalcJoin(rdsRRsGNT, 'IN_FID', hucRailDissolve, 'HUC_FID', ['RR_BEARING', 'DOUBLE'], '!BEARING!')
df.addCalcJoin(rdsRRsGNT, 'NEAR_FID', roadsInRRsBuffer, 'HUC_RD_ID', ['RD_BEARING', 'DOUBLE'], '!BEARING!')
df.tryAddField(rdsRRsGNT, 'BEAR_DIF', 'DOUBLE')
with arcpy.da.UpdateCursor(rdsRRsGNT, ['BEAR_DIF', 'RR_BEARING', 'RD_BEARING']) as ucur:
for urow in ucur:
if urow[1] != None and urow[2] != None:
urow[0] = df.angleDif(urow[1], urow[2])
ucur.updateRow(urow)
angleCrit = 20 #Degrees
rdsRRsPrll = arcpy.TableSelect_analysis(rdsRRsGNT, opj(gdb, 'rds_rrs_gnt_prll'), '((BEAR_DIF > '+str(0-angleCrit)+' AND BEAR_DIF < ' + str(0+angleCrit)+') OR BEAR_DIF > '+str(180-angleCrit)+ ' OR BEAR_DIF < '+str(-180+angleCrit)+ ')')# AND NEAR_DIST > 0')
rdsRRsPrllStats = arcpy.Statistics_analysis(rdsRRsPrll, opj(gdb, 'rds_rrs_prll_stats'), [['BEAR_DIF', 'RANGE']], 'IN_FID')
arcpy.JoinField_management(hucRailDissolve, 'OBJECTID', rdsRRsPrllStats, 'IN_FID', 'RANGE_BEAR_DIF')
# prllRdsOnBothSidesRrs = arcpy.Select_analysis(hucRailDissolve, opj(gdb, 'prll_rds_both_sides_rrs'), 'RANGE_BEAR_DIF > '+str(180-2*angleCrit))
## Now get just the roads that parallel the railroads and do the intersection again
arcpy.JoinField_management(roadsInRRsBuffer, 'OBJECTID', rdsRRsPrll, 'NEAR_FID', 'BEAR_DIF')
prllIntRoads = arcpy.Select_analysis(roadsInRRsBuffer, opj(gdb, 'rd_int_rr_prll'), 'BEAR_DIF IS NOT NULL')
if int(arcpy.GetCount_management(prllIntRoads).getOutput(0)) > 0:
prllroadsInRRsBuffer = arcpy.Intersect_analysis([prllIntRoads, hucRRsBuffer], opj(gdb, 'rds_prll_int_rrs'))
## Now create some points that are at centroid of nearest line between road and rr
rrNearLine = arcpy.XYToLine_management(rdsRRsPrll, opj(gdb, 'rr_near_rd_lines'), 'FROM_X', 'FROM_Y', 'NEAR_X', 'NEAR_Y', spatial_reference = mwRoads)
arcpy.JoinField_management(roadsInRRsBuffer, 'OBJECTID', rdsRRsPrll, 'NEAR_FID', 'FROM_X')
rrRdNearLineCentroid = arcpy.CreateFeatureclass_management(gdb, 'rr_rd_line_centroid', 'POINT', spatial_reference = mwRoads)
df.tryAddField(rrRdNearLineCentroid, 'NEAR_DIST', 'DOUBLE')
iCurCentroid = arcpy.da.InsertCursor(rrRdNearLineCentroid, ['SHAPE@', 'NEAR_DIST'])
with arcpy.da.SearchCursor(rrNearLine, ['SHAPE@XY', 'SHAPE@LENGTH']) as sCurCentroid:
for sRowCentroid in sCurCentroid:
if sRowCentroid[0] != None:
iCurCentroid.insertRow([arcpy.Point(sRowCentroid[0][0],sRowCentroid[0][1]), sRowCentroid[1]])
del iCurCentroid
## Now use clip to whittle everything down to just the area we want to use
# something around here is creating a 'scratch.shp' file in the MedianProc folder
rrMdnClip = arcpy.Clip_analysis(ftpRoadsRRsBuf, hucRRsBuffer, opj(gdb, 'rr_mdn_clip'))#rrNearLineCentroidBuffer
hucRoadsBuffer = arcpy.Buffer_analysis(prllroadsInRRsBuffer, opj(inm, 'rd_line_bfr'), rrRdBufferDist)
rdRrMdnClip = arcpy.Clip_analysis(rrMdnClip, hucRoadsBuffer, opj(gdb, 'rd_rr_mdn_clip'))
rdRrMdnSngl = arcpy.MultipartToSinglepart_management(rdRrMdnClip, opj(gdb, 'rd_rr_mdn_sngl'))
ftpLayer2 = arcpy.MakeFeatureLayer_management(rdRrMdnSngl, 'ftp_layer2')#ftpRoadsRRsBuf, 'ftp_layer')
# rrParallelNear = arcpy.SelectLayerByLocation_management(ftpLayer2, 'CONTAINS_CLEMENTINI', rrRdNearLineCentroid)
rdRrMdnBig = arcpy.CopyFeatures_management(ftpLayer2, opj(gdb, 'rr_mdn_polys'))
## Clip by railroad buffer then road buffer to limit median buffer area
try:
hucRoadsBufferFlat = arcpy.Buffer_analysis(prllIntRoads, opj(inm, 'rd_line_bfr'), rrRdBufferDist, line_end_type = 'FLAT')
except:
hucRoadsBufferFlat = arcpy.Buffer_analysis(prllIntRoads, opj(inm, 'rd_line_bfr2'), rrRdBufferDist)#, line_end_type = 'FLAT')
## log.warning('WARNING:flat buffer failure on ' + huc12)
rdRrMdnJoinClip = arcpy.Clip_analysis(rdRrMdnBig, hucRoadsBufferFlat, opj(gdb, 'rd_rr_mdn_join_clip'))
rdRrMJCftp = arcpy.FeatureToPolygon_management([rdRrMdnJoinClip, prllIntRoads], opj(gdb, 'rd_rr_ftp'))
ftpLayer3 = arcpy.MakeFeatureLayer_management(rdRrMJCftp, 'ftp_layer3')#ftpRoadsRRsBuf, 'ftp_layer')
ftpSel = arcpy.SelectLayerByLocation_management(ftpLayer3, 'INTERSECT', hucRailDissolve)#prllIntRoads))
ftpSel2 = arcpy.SelectLayerByLocation_management(ftpSel, 'INTERSECT', prllIntRoads, selection_type = 'SUBSET_SELECTION')
rdRrMdnFinal = arcpy.CopyFeatures_management(ftpSel2, opj(gdb, 'rr_mdn_polys3'))
log.info(f"Road Railroad Medians count is: " + arcpy.GetCount_management(rdRrMdnFinal).getOutput(0))
mergedMdnList.append(rdRrMdnFinal)#MdnSeparate)
## ------------------------------------------------------------------------------
## Find railyards and other double tracks
if df.testForZero(hucRailroads):#int(arcpy.GetCount_management(hucRailroadsPrelim).getOutput(0)) > 0:
rrSearchDist = 100 #METERS
slPts, slLines, slLinesL, slLinesR, slLinesSin, slPtsStart = df.stationLines10(gdb, hucRailDissolve, 'rr_sl_pts', 'rr_sl_lines', rrSearchDist/2.0, rrSearchDist, hucRailroads, 'rr_sl_pts_start')
rrSlInt = arcpy.Intersect_analysis([slLines, hucRailDissolve], opj(inm, 'rr_sl_int'), output_type = "POINT")
df.addCalcJoin(rrSlInt, 'arcid', hucRailDissolve, 'HUC_FID', ['sl_BEARING', 'DOUBLE'], '!BEARING!')
df.tryAddField(rrSlInt, 'BEAR_DIF', 'DOUBLE')
with arcpy.da.UpdateCursor(rrSlInt, ['BEAR_DIF', 'BEARING', 'sl_BEARING']) as ucur:
for urow in ucur:
if urow[1] != None and urow[2] != None:
urow[0] = df.angleDif(urow[1], urow[2])
ucur.updateRow(urow)
rrSelf = arcpy.Select_analysis(rrSlInt, opj(inm, 'rr_self'), 'HUC_FID = arcid')
rrNonSelf = arcpy.Select_analysis(rrSlInt, opj(inm, 'rr_non_self_prll'), 'HUC_FID <> arcid AND (BEAR_DIF < -170 OR (BEAR_DIF > -10 AND BEAR_DIF < 10) OR BEAR_DIF > 170)')
df.tryAddField(rrNonSelf, 'NEAR_DIST', 'DOUBLE')
with arcpy.da.SearchCursor(rrSelf, ['SHAPE@XY', 'HUC_FID', 'arcid', 'cs_id'], 'HUC_FID = arcid') as scur:
for srow in scur:
with arcpy.da.UpdateCursor(rrNonSelf, ['SHAPE@XY', 'HUC_FID', 'arcid', 'cs_id', 'NEAR_DIST'], 'cs_id = ' + str(srow[3])) as ucur:
for urow in ucur:
urow[4] = sqrt(pow(srow[0][0]-urow[0][0], 2) + pow(srow[0][1]-urow[0][1], 2))
ucur.updateRow(urow)
df.tryAddField(rrNonSelf, 'NEAR_GAP', 'DOUBLE')
prev_in_fid = -1
with arcpy.da.UpdateCursor(rrNonSelf, ['cs_id', 'NEAR_DIST', 'NEAR_GAP'], sql_clause = (None, 'ORDER BY cs_id, NEAR_DIST')) as ucur:
for urow in ucur:
if prev_in_fid == urow[0]:
urow[2] = urow[1] - prev_near_dist
ucur.updateRow(urow)
prev_in_fid = urow[0]
prev_near_dist = urow[1]
rrSlStats = arcpy.Statistics_analysis(rrNonSelf, opj(inm, 'rr_sl_stats'), [['NEAR_DIST', 'MIN'], ['NEAR_DIST', 'MEAN'], ['NEAR_DIST', 'MAX'], ['NEAR_DIST', 'COUNT'], ['NEAR_GAP', 'MEAN'], ['NEAR_GAP', 'MAX']], 'cs_id')
parallelRRs = arcpy.TableSelect_analysis(rrSlStats, opj(inm, 'rr_gnt_parallel'), 'COUNT_NEAR_DIST > 4 AND MEAN_NEAR_GAP < 30')
arcpy.JoinField_management(parallelRRs, 'cs_id', slLines, 'cs_id', 'arcid')
parallelRRsSummary = arcpy.Statistics_analysis(parallelRRs, opj(inm, 'rr_prll_smry'), [['MAX_NEAR_DIST', 'MAX']], 'arcid')
arcpy.AlterField_management(parallelRRsSummary, 'MAX_MAX_NEAR_DIST', 'MAX_NEAR_DIST')
arcpy.JoinField_management(hucRailDissolve, 'HUC_FID', parallelRRsSummary, 'arcid', 'MAX_NEAR_DIST')
hucRRsParallelNear = arcpy.Select_analysis(hucRailDissolve, opj(inm, 'rrs_prll_near'), 'MAX_NEAR_DIST > 0')
if df.testForZero(hucRRsParallelNear) > 0:
rrParallelNearBuffer = arcpy.Buffer_analysis(hucRRsParallelNear, opj(inm, 'rr_prll_bfr'), str(rrSearchDist/2.0) + ' METERS')
rrPrllNearBufferRaster = arcpy.PolygonToRaster_conversion(rrParallelNearBuffer, 'BUFF_DIST', opj(gdb, 'rr_prl_bfr'), cellsize = ProcSize)
rrPrllRG = RegionGroup(Int(rrPrllNearBufferRaster))
rrPrllRgPoly = arcpy.RasterToPolygon_conversion(rrPrllRG, opj(gdb, 'rr_prll_rg_poly'), raster_field = 'VALUE')
rrPrllInt = arcpy.Intersect_analysis([rrPrllRgPoly, hucRRsParallelNear], opj(inm, 'rr_prll_rg_int'))
gridfield = 'gridcode'
gridfield2 = 'grid_code'
rrPrllBg = arcpy.MinimumBoundingGeometry_management(rrPrllInt, opj(inm, 'rr_prll_bg'), 'CONVEX_HULL', group_option = 'LIST', group_field = gridfield)
log.info(f"Railroad Parallel Roads count is: " + arcpy.GetCount_management(rrPrllBg).getOutput(0))
mergedMdnList.append(rrPrllBg)
## ------------------------------------------------------------------------------
## Buffer the runways so they become a polygon that we can intersect with road and RR search buffers and determine if points cross one of these features
hucRunways = arcpy.Clip_analysis(apFC, bndBuffer, opj(inm, "runway_so"))
if int(arcpy.GetCount_management(hucRunways).getOutput(0)) > 0:
apSrchExp = '2*!Width!/3.28'
apBfrFld = 'rw_bfr_dist'#bfrFldList[2]
df.tryAddField(hucRunways, apBfrFld, "SHORT")
arcpy.CalculateField_management(hucRunways, apBfrFld, apSrchExp, "PYTHON")
rwsBfr = arcpy.Buffer_analysis(hucRunways, opj(gdb, "rw_srch_bfr"), apBfrFld, "FULL", "ROUND", "LIST", apBfrFld)
log.info(f"Runways Buffer count is: " + arcpy.GetCount_management(rwsBfr).getOutput(0))
mergedMdnList.append(rwsBfr)
## ------------------------------------------------------------------------------
## Merge all the transportation buffers together
if len(mergedMdnList) > 0:
mergedMdns = arcpy.Merge_management(mergedMdnList, opj(inm, 'rd_rr_rd_rw_mrg'))
if df.testForZero(mergedMdns):
## mergedMdns = arcpy.Merge_management([rdMdnSeparate, rrRdMergedMdnZoned, rrMdnFinal, rwsBfr], gdb + 'rd_rr_rd_rw_mrg')
df.tryAddField(mergedMdns, 'T', 'SHORT')
arcpy.CalculateField_management(mergedMdns, 'T', '1', 'PYTHON')
mergedMdnsRasterT = Raster(arcpy.PolygonToRaster_conversion(mergedMdns, 'T', opj(gdb, 'mrgd_mdn'), cellsize = ProcSize))
mergedMdnsRaster = Raster(arcpy.PolygonToRaster_conversion(mergedMdns, arcpy.Describe(mergedMdns).OIDFieldName, opj(gdb, 'mrgd_mdns'), cellsize = ProcSize))
# in Pro must use non-zero values for cost, 0.0001 was previously 0
mergedMdnsCost = Con(IsNull(mergedMdnsRasterT) == 1, 0.0001, 1)
mergedMdnsCostDist = CostDistance(Con(IsNull(mergedMdnsRasterT) == 1, 1), mergedMdnsCost)
log.info(f"merged Medians Cost Distance maximum is: {mergedMdnsCostDist.maximum}")
#### mergedMdnsCost.save(cp + 'mdn_cost')
mergedMdnsCostZst = ZonalStatisticsAsTable(mergedMdnsRaster, 'VALUE', mergedMdnsCostDist, opj(inm, 'mrgd_mdn_zst'))
## populate new search distance field - 2x because cost distance maxes at center, ##1.5x to cut at 60 degree angle,
df.addCalcJoin(mergedMdns, arcpy.Describe(mergedMdns).OIDFieldName, mergedMdnsCostZst, 'VALUE', ['bfr_dist', 'DOUBLE'], '2*!MAX!')
mergedMdnsCopy = arcpy.CopyFeatures_management(mergedMdns, mergedMdnsHuc8FC)
else:
mergedMdns = None
## mergedMdnsCost = None
else:
mergedMdns = None
## mergedMdnsCost = None
log.debug("Transport processing copying done at " + time.asctime())
except Exception as e:
## log.debug(e.message)
arcpy.AddError(e.message)
# Get the traceback object
tb = sys.exc_info()[2]
tbinfo = traceback.format_tb(tb)[0]
# Concatenate information together concerning the error into a message string
pymsg = "PYTHON ERRORS:\nTraceback info:\n" + tbinfo + "\nError Info:\n" + str(sys.exc_info()[1])
print(pymsg)
except:
winsound.Beep(500, 1000)
winsound.Beep(1000, 1000)
# Get the traceback object
tb = sys.exc_info()[2]
tbinfo = traceback.format_tb(tb)[0]
# Concatenate information together concerning the error into a message string
pymsg = "PYTHON ERRORS:\nTraceback info:\n" + tbinfo + "\nError Info:\n" + str(sys.exc_info()[1])
# Return python error messages for use in script tool or Python Window
arcpy.AddError(pymsg)
# Print Python error messages for use in Python / Python Window
print(pymsg + "\n")
if arcpy.GetMessages(2) not in pymsg:
msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"
arcpy.AddError(msgs)
print(msgs)
sys.exit(1)
finally:
if 'logName' in locals():
log.info("Ending script execution at " + time.asctime())
log.info("Script execution lasted " + str(time.time()-startTime) + " seconds or " + str((time.time()-startTime)/60) + " minutes\n")