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cmd_cutter_DEM.pyt
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cmd_cutter_DEM.pyt
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# 2024.02.19 bkgelder - converted to Python 3.9
# Import system modules
import arcpy
import pickle
import sys
import string
from os.path import join as opj
import traceback
import time
import platform
from arcpy.sa import *
##from dem_functions import *
import dem_functions as df
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 = "EPT_WESM_download"
self.description = "Creates a feature class to enable EPT downloads"
self.canRunInBackground = False
def getParameterInfo(self):
"""Define parameter definitions"""
param0 = arcpy.Parameter(
name="buffered_field_boundaries",
displayName="Buffered ACPF Field Boundaries",
datatype="DEFeatureClass",
parameterType='Required',
direction="Input")
param1 = arcpy.Parameter(
name="fill_tif",
displayName="Pit Filled DEM",
datatype="DERasterDataset",
parameterType='Required',
direction="Input")
param2 = arcpy.Parameter(
name="punch_tif",
displayName="Punched DEM",
datatype="DERasterDataset",
parameterType='Required',
direction="Input")
param3 = arcpy.Parameter(
name="void_tif",
displayName="Void Filled DEM",
datatype="DERasterDataset",
parameterType='Optional',
direction="Input")
param4 = arcpy.Parameter(
name="merged_medians",
displayName="Merged Medians Feature Class",
datatype="DEFeatureClass",
parameterType='Required',
direction="Input")
param5 = arcpy.Parameter(
displayName="Local Processing Directory",
datatype="DEFolder",
parameterType='Required',
direction="Input")
param6 = arcpy.Parameter(
name="pickle_distance_file",
displayName="Pickle Distance Output File",
datatype="DEFile",
parameterType='Required',
direction="Output")
param7 = arcpy.Parameter(
displayName="Depression Punch Area Threshold",
datatype="GPString",
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
doCutter(parameters[0].valueAsText, parameters[1].valueAsText, parameters[2].valueAsText, parameters[3].valueAsText, parameters[4].valueAsText, parameters[5].valueAsText, parameters[6].valueAsText, parameters[7].valueAsText, parameters[8].valueAsText, parameters[9].valueAsText, cleanup, messages)
return
def postExecute(self, parameters):
"""This method takes place after outputs are processed and
added to the display."""
return
def doCutter(input_dem, huc_roads, search_distance_file, output_dem, clib_metadata, good_cuts_fc, best_cuts_fc, depressions2cut_fc, proc_dir, match_depth, cleanup, messages):
try:
arguments = [input_dem, huc_roads, search_distance_file, output_dem, clib_metadata, good_cuts_fc, best_cuts_fc, depressions2cut_fc, proc_dir, match_depth, 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('log file is ' + logName)
log.info("Tool: Executing with parameters:\n" + arg_str)
# Create output directories
## Set the environments
# control where scratchFolder and GDB are created
## Make sure output locations exist
arcpy.env.scratchWorkspace = proc_dir
sgdb = arcpy.env.scratchGDB
arcpy.env.scratchWorkspace = sgdb
arcpy.env.workspace = sgdb
arcpy.env.snapRaster = input_dem
arcpy.env.cellSize = input_dem
arcpy.env.extent = input_dem.extent
inm = 'in_memory'
arcpy.CheckOutExtension("Spatial")
arcpy.env.overwriteOutput = True
# set up output raster names
## Fill region curvature and slope criteria for selecting FRs to enforce, cut lines to keep
frSlpCrit = 7.5
frCrvCrit = 0.25
ofElList = ["FR_OF_EL", "LONG"]
ofElFld = ofElList[0]
frFld = 'FILL_RGN'
lcpMeanCrvFld = 'LCP_FR_MEAN_CRV'
lcpMaxSlpFld = 'LCP_FR_MAX_SLP'
lcpMaxElFld = 'LCP_FR_MAX_EL'
minElFld = 'FR_MIN_EL'
cutElFld = 'FR_CUT_EL'
filOfElFld = 'MIN_AFT_CUT'
maxFillFld = 'MAX_FILL'
minFrDistList = ['MIN_WS_DST', 'DOUBLE']
minFrDistList3 = ['MIN_WS_DST3', 'DOUBLE']
minFrDistFld = minFrDistList3[0]
ofPassFld = 'fp_pass'
frPctDropList = ['MAX_PCT_DROP', 'DOUBLE']
frPctDropFld = frPctDropList[0]
frAllCrvFrac = ['ALL_FR_CRV_FRAC', 'DOUBLE']
frAllCrvFracFld = frAllCrvFrac[0]
frThknsFld = 'FR_THKNS'
minElDifFld = 'MIN_EL_DIF'
minElDif = [minElDifFld, 'long']
maxElDifFld = 'MAX_EL_DIF'
maxElDif = [maxElDifFld, 'long']
gridfield = 'gridcode'
gridfield2 = 'grid_code'
goodCutsList = []
searchPickleFileObject = open(search_distance_file, 'rb')
maxSearchDistList = pickle.load(searchPickleFileObject)
searchPickleFileObject.close()
hucRoadsRaster = arcpy.PolylineToRaster_conversion(huc_roads, 'oneway', opj(proc_dir, 'roads_rast'), cellsize = ProcSize)
meterDEM = 0.01 * input_dem
# slopePct = Slope(meterDEM, 'PERCENT_RISE')
slopePct = Raster(opj(proc_dir, 'slope_pct'))
## Calculate curvature to find areas where curvature is positive (channels)
crv = Curvature(meterDEM, '', opj(proc_dir, "pro_crv"), opj(proc_dir, "pln_crv"))
proCrv = Raster(opj(proc_dir, 'pro_crv'))
inmDfs2Cut = arcpy.CopyFeatures_management(opj(sgdb, 'dfs2cut_' + huc12), opj(inm, 'dfs_2_cut_' + huc12))
## inmDfs2Cut = arcpy.CopyFeatures_management(opj(sgdb, 'dfs2cut_' + huc12), opj(inm, 'dfs_2_cut_' + huc12))
goodDslvAll = arcpy.CopyFeatures_management(opj(sgdb, 'good_int_dslv_all'), opj(inm, 'good_int_dslv_all'))
goodDnDslvAll = arcpy.CopyFeatures_management(opj(sgdb, 'good_dn_pts_all'), opj(inm, 'good_dn_pts_all'))
goodUpDslvAll = arcpy.CopyFeatures_management(opj(sgdb, 'good_up_pts_all'), opj(inm, 'good_up_pts_all'))
sfx = ''
ofSfx = ''
## Initially the cut DEM is the punched DEM
DEMpreviousCuts = input_dem
arcpy.JoinField_management(goodDslvAll, frFld, inmDfs2Cut, frFld, [cutElFld, frThknsFld, minElFld, ofElFld, frAllCrvFracFld])#, compactFld
cutItrtr = df.intersectingFeaturesUniqueIteration4(goodDslvAll, str(ProcSize*3.0) + ' METERS', opj(inm, 'gnt_fp'), ofPassFld, frFld, minElFld)
arcpy.JoinField_management(inmDfs2Cut, frFld, goodDslvAll, frFld, ofPassFld)
gdbSSdfs = df.copyfc(verbose, inmDfs2Cut, sgdb)
arcpy.JoinField_management(goodUpDslvAll, frFld, goodDslvAll, frFld, ofPassFld)
arcpy.JoinField_management(goodDnDslvAll, frFld, goodDslvAll, frFld, ofPassFld)
# max of 18 iterations, just cause it might stop this one from crashing
cutItrtrMax = min([cutItrtr, 9])
for ofPass in range(0, cutItrtrMax):
sfx = '_' + str(ofPass)
log.debug('beginning sfx ' + sfx + ' and ofPass ' + ofSfx + ' at ' + time.asctime())
goodDslvAllLayer = arcpy.MakeFeatureLayer_management(goodDslvAll, "rgn_Lyr" + sfx + ofSfx, '"' + ofPassFld + '" = ' + str(ofPass), sgdb)
if df.testForZero(goodDslvAllLayer):#int(arcpy.GetCount_management(goodDslvAllLayer).getOutput(0)) > 0:
goodDslvAllLyrFc = arcpy.CopyFeatures_management(goodDslvAllLayer, inm + "dp_cls_bfr2_lyr" + sfx + ofSfx)
df.copyfc(verbose, goodDslvAllLyrFc, sgdb)
goodDnLayer = arcpy.MakeFeatureLayer_management(goodDnDslvAll, "dn_Lyr" + sfx + ofSfx, '"' + ofPassFld + '" = ' + str(ofPass), sgdb)
goodDnLyrFc = arcpy.CopyFeatures_management(goodDnLayer, inm + "dn_lyr" + sfx + ofSfx)
df.copyfc(verbose, goodDnLyrFc, sgdb)
goodUpLayer = arcpy.MakeFeatureLayer_management(goodUpDslvAll, "up_Lyr_prlm" + sfx + ofSfx, '"' + ofPassFld + '" = ' + str(ofPass), sgdb)
goodUpLyrFc = arcpy.CopyFeatures_management(goodUpLayer, inm + "up_lyr" + sfx + ofSfx)
df.copyfc(verbose, goodUpLyrFc, sgdb)
log.debug('set up layers for sfx ' + sfx + ' at ' + time.asctime())
upCellsIter = arcpy.PointToRaster_conversion(goodUpLayer, frFld, 'up_prlm' + sfx)
# maxCostDist = max(maxSearchDistList) * 100
# distToUp = CostDistance(upCellsIter, Con(input_dem, 1))#, maxCostDist)
deepCloseBfr2Fr = arcpy.PolygonToRaster_conversion(goodDslvAllLayer, frFld, opj(proc_dir, 'cut_fr' + sfx + ofSfx), '', '', ProcSize)
psblNewEl3 = arcpy.PolygonToRaster_conversion(goodDslvAllLayer, minElFld, opj(proc_dir, 'cut_el3' + sfx + ofSfx), '', '', ProcSize)
cells2CutTo = arcpy.PointToRaster_conversion(goodDnLayer, frFld, 'dn_cells' + sfx)
if df.testForZero(cells2CutTo):
goodSlope = Con(cells2CutTo, cells2CutTo)#upSlope <= slopeMean, cells2CutTo)
goodSlope.save('gd_slp' + sfx)
## try:
minElOutside = ZonalStatistics(cells2CutTo, 'value', input_dem, 'minimum')
minElOverall = ZonalStatistics(deepCloseBfr2Fr, 'value', minElOutside, 'minimum')
if minElOverall.maximum is not None:
meanCutDif = DEMpreviousCuts - (psblNewEl3 + minElOverall)/2.0
cutCost = Con(meanCutDif >= 0, meanCutDif, 0)#cutElDif >= 0, cutElDif, 0)
back_link = opj(proc_dir, 'bklink' + sfx + ofSfx)
cutCostDist = CostDistance(goodSlope, cutCost, '', back_link)#maxCostDist
lcp3 = CostPath(upCellsIter, cutCostDist, back_link, path_type = 'each_zone')
## lcp3.save(cp + 'lcp3' + sfx + ofSfx)
log.debug('did lcp3 for sfx ' + sfx + ' at ' + time.asctime())
log.debug('lcp3.max for sfx ' + sfx + ' is ' + str(lcp3.maximum))
log.debug('deepCloseBfr2Fr count for sfx ' + sfx + ' is ' + arcpy.GetCount_management(deepCloseBfr2Fr).getOutput(0))
lcpFr = Con(lcp3, deepCloseBfr2Fr)
log.debug('lcpFr.max for sfx ' + sfx + ' is ' + str(lcpFr.maximum))
# needed for subsequent line in some rasters to avoid error
arcpy.BuildRasterAttributeTable_management(lcpFr)
log.debug('lcpFr count for sfx ' + sfx + ' is ' + arcpy.GetCount_management(lcpFr).getOutput(0))
log.debug('lcpFr name for sfx ' + sfx + ' is ' + str(lcpFr))
## lcpFr.save(cp + 'lcp_fr' + sfx + ofSfx)
lcpFrPoly = arcpy.RasterToPolyline_conversion(lcpFr, opj(inm, 'lcp3_cuts' + sfx + ofSfx), simplify = 'NO_SIMPLIFY')
log.debug('did lcp3 FrPoly for sfx ' + sfx + ' at ' + time.asctime())
zstSrchLcpFrSlp = ZonalStatisticsAsTable(lcpFr, 'value', slopePct, opj(inm, 'zst_srch_lcp_fr_slp1' + sfx))
df.addCalcJoin(lcpFrPoly, gridfield2, zstSrchLcpFrSlp, 'value', ['LCP_FR_MAX_SLP', 'DOUBLE'], '!MAX!')
log.debug('did lcp3 stats 1 for sfx ' + sfx + ' at ' + time.asctime())
zstSrchLcpFrCrv = ZonalStatisticsAsTable(lcpFr, 'value', proCrv, opj(inm, 'zst_srch_lcp_fr_crv1' + sfx))
df.addCalcJoin(lcpFrPoly, gridfield2, zstSrchLcpFrCrv, 'value', ['LCP_FR_MEAN_CRV', 'DOUBLE'], '!MEAN!')
log.debug('did lcp3 stats 2 for sfx ' + sfx + ' at ' + time.asctime())
zstSrchLcpFrEl = ZonalStatisticsAsTable(lcpFr, 'value', input_dem, opj(inm, 'zst_srch_lcp_fr_el1' + sfx))
df.addCalcJoin(lcpFrPoly, gridfield2, zstSrchLcpFrEl, 'value', [lcpMaxElFld, 'DOUBLE'], '!MAX!')
df.copyfc(verbose, lcpFrPoly, sgdb)
log.debug('did lcp3 stats 3 for sfx ' + sfx + ' at ' + time.asctime())
## Figure out if not crossing a road is an option
noRoadsCutCost = Con(IsNull(hucRoadsRaster), cutCost)
near_back_link = opj(proc_dir, 'nr_bkl' + sfx)
noRoadsCutCostDist = CostDistance(cells2CutTo, noRoadsCutCost, '', near_back_link)#maxCostDist
try:
lcpNr = CostPath(upCellsIter, noRoadsCutCostDist, near_back_link, path_type = 'each_zone')
log.debug('did lcpNr for sfx ' + sfx + ' at ' + time.asctime())
lcpNrFr = Con(lcpNr, deepCloseBfr2Fr)
## lcpFr.save(cp + 'lcp_fr' + sfx + ofSfx)
lcpNrFrPoly = arcpy.RasterToPolyline_conversion(lcpNrFr, opj(inm, 'lcp5_cuts' + sfx + ofSfx), simplify = 'NO_SIMPLIFY')
zstSrchLcpNrFrSlp = ZonalStatisticsAsTable(lcpNrFr, 'value', slopePct, opj(inm, 'zst_srch_lcp_fr_slp3' + sfx))
df.addCalcJoin(lcpNrFrPoly, gridfield2, zstSrchLcpNrFrSlp, 'value', ['LCP_FR_MAX_SLP', 'DOUBLE'], '!MAX!')
log.debug('did lcpNr stats 1 for sfx ' + sfx + ' at ' + time.asctime())
zstSrchLcpNrFrCrv = ZonalStatisticsAsTable(lcpNrFr, 'value', proCrv, opj(inm, 'zst_srch_lcp_fr_crv3' + sfx))
df.addCalcJoin(lcpNrFrPoly, gridfield2, zstSrchLcpNrFrCrv, 'value', ['LCP_FR_MEAN_CRV', 'DOUBLE'], '!MEAN!')
log.debug('did lcpNr stats 2 for sfx ' + sfx + ' at ' + time.asctime())
zstSrchLcpNrFrEl = ZonalStatisticsAsTable(lcpNrFr, 'value', input_dem, opj(inm, 'zst_srch_lcp_fr_el3' + sfx))
df.addCalcJoin(lcpNrFrPoly, gridfield2, zstSrchLcpNrFrEl, 'value', [lcpMaxElFld, 'DOUBLE'], '!MAX!')
log.debug('did lcpNr stats 3 for sfx ' + sfx + ' at ' + time.asctime())
df.copyfc(verbose, lcpNrFrPoly, sgdb)
## If road cross is only option (no results otherwise), medianXFld = 1, or if dfs is non-linear use initial lcp
lcpNrStats = arcpy.Statistics_analysis(lcpNrFrPoly, opj(inm, 'lcpNr_stats' + sfx), [[gridfield2, 'COUNT']], gridfield2)
df.copytbl(verbose, lcpNrStats, sgdb)
df.addCalcJoin(goodDslvAllLyrFc, frFld, lcpNrStats, gridfield2, ['CNT_LCP_NR', 'LONG'], '!COUNT_' + gridfield2 + '!')
lcpStats = arcpy.Statistics_analysis(lcpFrPoly, opj(inm, 'lcp_stats' + sfx), [[gridfield2, 'COUNT']], gridfield2)
df.copytbl(verbose, lcpStats, sgdb)
df.addCalcJoin(goodDslvAllLyrFc, frFld, lcpStats, gridfield2, ['CNT_LCP', 'LONG'], '!COUNT_' + gridfield2 + '!')
df.copyfc(verbose, goodDslvAllLyrFc, sgdb)
goodLCP3CutsList = df.getFrsAsList(goodDslvAllLyrFc, frFld, '(CNT_LCP >= 0 AND CNT_LCP_NR IS NULL AND ((' + ofElFld + ' - ' + minElFld + ' > ' + str(3*float(match_depth)) + ') OR ' + frThknsFld + ' > ' + str(ProcSize * 2) + '))')
goodLCP3CutsSel = df.buildSelection(goodLCP3CutsList, gridfield2)
goodLCP3Cuts = arcpy.Select_analysis(lcpFrPoly, opj(inm, 'good_lcp3_cuts' + sfx + ofSfx), goodLCP3CutsSel)
df.copyfc(verbose, goodLCP3Cuts, sgdb)
goodLCP12CutsList = df.getFrsAsList(goodDslvAllLyrFc, frFld, '(CNT_LCP >= 0 AND CNT_LCP_NR >=0)')
goodLCP12CutsSel = df.buildSelection(goodLCP12CutsList, gridfield2)
goodLCP12Cuts = arcpy.Select_analysis(lcpNrFrPoly, opj(inm, 'good_lcp5_cuts' + sfx + ofSfx), goodLCP12CutsSel)
df.copyfc(verbose, goodLCP12Cuts, sgdb)
log.debug('finished goodLCP12Cuts')
goodCuts4LvlPrlm = arcpy.Merge_management([goodLCP3Cuts, goodLCP12Cuts], opj(inm, 'good_prlm_lcp_cuts' + sfx))
log.debug('finished goodCuts4LvlPrlm')
except arcpy.ExecuteError:#ExecuteError:
msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"
arcpy.AddError(msgs)
log.info('Trying to handle COSTPATH FROM cells is 0 error for sfx ' + sfx)
log.info(msgs)
# intercept COSTPATH error, 'ERROR 010045: COSTPATH: The number of FROM cells is 0.'
if '010045' in msgs:
lcpStats = arcpy.Statistics_analysis(lcpFrPoly, opj(inm, 'lcp_stats' + sfx), [[gridfield2, 'COUNT']], gridfield2)
df.copytbl(verbose, lcpStats, sgdb)
df.addCalcJoin(goodDslvAllLyrFc, frFld, lcpStats, gridfield2, ['CNT_LCP', 'LONG'], '!COUNT_' + gridfield2 + '!')
goodLCP3CutsList = df.getFrsAsList(goodDslvAllLyrFc, frFld, '(CNT_LCP >= 0 AND ((' + ofElFld + ' - ' + minElFld + ' > ' + str(3*float(match_depth)) + ') OR ' + frThknsFld + ' > ' + str(ProcSize * 2) + '))')
goodLCP3CutsSel = df.buildSelection(goodLCP3CutsList, gridfield2)
goodLCP3Cuts = arcpy.Select_analysis(lcpFrPoly, opj(inm, 'good_lcp3_cuts' + sfx + ofSfx), goodLCP3CutsSel)
df.copyfc(verbose, goodLCP3Cuts, sgdb)
goodCuts4LvlPrlm = arcpy.CopyFeatures_management(goodLCP3Cuts, opj(inm, 'good_prlm_lcp_cuts' + sfx))
log.debug('No no-road cuts for sfx ' + sfx)
else:
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
log.warn(pymsg + "\n")
sys.exit(1)
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
log.warn(pymsg + "\n")
if arcpy.GetMessages(2) not in pymsg:
msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"
arcpy.AddError(msgs)
log.warn(msgs)
sys.exit(1)
## except:
else:
log.warning('minElOverall.maximum is None, no valid cells/points to cut for sfx: ' + sfx)
log.warning('Typical error follows')
error = '''WARNING - PYTHON ERRORS:
Traceback info:
File "O:\DEP\Scripts\basics\cmd_cutter.py", line 316, in <module>
cutCostDist = CostDistance(goodSlope, cutCost, '', cp + 'bklink' + sfx + ofSfx)#maxCostDist
Error Info:
ERROR 999999: Error executing function.
Class not registered
ERROR 010004: All cells in Raster D:\DEP_Proc\CutProc\Cut_070101061007\ifthe_ras7 have the NODATA value. Stop execution.
ERROR 010067: Error in executing grid expression.
Failed to execute (CostDistance).'''
log.warning(error)
#### 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
#### log.warn(pymsg + "\n")
####
#### if arcpy.GetMessages(2) not in pymsg:
#### msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"
#### arcpy.AddError(msgs)
#### log.warn(msgs)
####
######## sys.exit(1)
validCrossArea = lcpMaxSlpFld + ' >= ' + str(0.667*frSlpCrit) + ' OR ' + lcpMeanCrvFld + ' > ' + str(frCrvCrit)
goodCuts4Lvl = arcpy.Select_analysis(goodCuts4LvlPrlm, opj(inm, 'good_lcp_cuts' + sfx), validCrossArea)
goodCutsList.append(goodCuts4Lvl)
arcpy.JoinField_management(goodCuts4Lvl, gridfield2, inmDfs2Cut, frFld, cutElFld)
DEMwGoodCutsLvl, cutRaster = df.createCLDEM(DEMpreviousCuts, sgdb, goodCuts4Lvl, 'cl_lvl_dem', sfx, cutElFld, ProcSize)
DEMpreviousCuts = DEMwGoodCutsLvl
arcpy.env.workspace = proc_dir
goodCutsAll = df.condenseDataLvls(goodCutsList, opj(inm, 'good_cuts_all'))
arcpy.JoinField_management(goodCutsAll, gridfield2, inmDfs2Cut, frFld, cutElFld)
DEMwGoodCutsAll, cutRaster = df.createCLDEM(input_dem, sgdb, goodCutsAll, 'cl_dem', sfx, cutElFld, ProcSize)
fillAfterGoodCuts = Fill(DEMwGoodCutsAll)
fr0 = Raster('fr0_0')
frList = arcpy.ListRasters(fr0.name.split('_')[0] + '_*')
for rast in frList:
if rast[3] not in string.digits:
frList.remove(rast)
maxFr = CellStatistics(frList, 'MAXIMUM')
frList.sort()
for index, frl in enumerate(frList):
sfx = '_' + str(index)
zstFillAftGoodCuts = ZonalStatisticsAsTable(frl, 'value', fillAfterGoodCuts, opj(inm, 'zst_fil_aft_gd' + sfx))
zstFillAftGoodCutsAll = df.condenseTableLvls(zstFillAftGoodCuts, inm, opj(inm, 'fil_aft_gd_all'))
df.addCalcJoin(inmDfs2Cut, frFld, zstFillAftGoodCutsAll, 'VALUE', [filOfElFld, 'LONG'], '!MIN!')
#### df.addCalcJoin(inmDfs2Cut, frFld, drainZST, 'VALUE', [filOfElFld, 'LONG'], '!MIN!')
arcpy.JoinField_management(goodCutsAll, gridfield2, zstFillAftGoodCutsAll, 'VALUE', filOfElFld)
arcpy.JoinField_management(goodCutsAll, gridfield2, inmDfs2Cut, frFld, [ofElFld, minElFld, maxFillFld])
df.copytbl(verbose, zstFillAftGoodCutsAll, sgdb)
## df.copyfc(verbose, goodCutsAll, sgdb)
goodcutsCopy = arcpy.CopyFeatures_management(goodCutsAll, good_cuts_fc)
notBetterCutFrs = df.getFrsAsList(goodCutsAll, gridfield2, filOfElFld + ' > 0.65*(' + ofElFld + ' - ' + minElFld + ') + ' + minElFld + ' AND ' + filOfElFld + ' > 0.65*(' + maxFillFld + ' - ' + minElFld + ') + ' + minElFld)
if len(notBetterCutFrs) > 0:
betterCutsAll = arcpy.Select_analysis(goodCutsAll, opj(inm, 'better_cuts_all'), df.buildAntiSelection(notBetterCutFrs, gridfield2))
df.copyfc(verbose, betterCutsAll, sgdb)
else:
betterCutsAll = arcpy.CopyFeatures_management(goodCutsAll, opj(inm, 'better_cuts_all'))
df.copyfc(verbose, betterCutsAll, sgdb)
bestCutsAll = arcpy.CopyFeatures_management(betterCutsAll, best_cuts_fc)#inm + 'best_cuts_all')
df.addCalcJoin(inmDfs2Cut, frFld, bestCutsAll, gridfield2, ['cut_length', 'DOUBLE'], '!Shape.Length!')
depressions2cutCopy = arcpy.CopyFeatures_management(inmDfs2Cut, depressions2cut_fc)#inm + 'best_cuts_all')
sfx = '_0'
DEMwBestCuts, bestCutRaster = df.createCLDEM(input_dem, sgdb, bestCutsAll, 'cl_dem_fnl', sfx, cutElFld, ProcSize)
## check to see if 'right' size compared to pitfill before save, use 0.95 instead of 0.97 due to voids at holes
pfArea = ZonalGeometry(Con(IsNull(input_dem) == 0, 1), 'VALUE', 'AREA')
cutArea = ZonalGeometry(Con(IsNull(DEMwBestCuts) == 0, 1), 'VALUE', 'AREA')
areaRatio = cutArea.maximum / pfArea.maximum
try:
assert(areaRatio >= 0.9),'VoidFixed DEM failed area data check'
DEMwBestCuts.save(output_dem)
log.info("COMPLETION! Succesful save of cut DEM at " + time.asctime())
except AssertionError:
log.error('VoidFixed DEM failed area data check', exc_info = True)
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
log.warn(pymsg + "\n")
if arcpy.GetMessages(2) not in pymsg:
msgs = "ArcPy ERRORS:\n" + arcpy.GetMessages(2) + "\n"
arcpy.AddError(msgs)
log.warn(msgs)
sys.exit(1)
finally:
if 'logName' in locals():
log.warn("Ending script execution at " + time.asctime())
log.warn("Script execution lasted " + str(time.time()-startTime) + " seconds or " + str((time.time()-startTime)/60) + " minutes\n")
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",
"D:/DEP/Basedata_Summaries/elev_PLib_mean18/07080105/ep3m070801050901.tif",
"D:/DEP/Basedata_Summaries/elev_PLib_mean18/07080105/ep3m070801050901.tif",
"D:/DEP/Basedata_Summaries/elev_PLib_mean18/07080105/ep3m070801050901.tif",
"C:/DEP/Man_Data_ACPF/dep_ACPF2022/07080105/idepACPF070801050901.gdb/dprsns_mean18_dem2013_3m_070801050901",
"5.0",
"500",
"C:/DEP_Proc/DEMProc/Cut_dem2013_3m_070801050901"]
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]
huc_roads = sys.argv[2]
search_distance_file = sys.argv[3]
# outputs
output_dem = sys.argv[4]
clib_metadata = sys.argv[5]
good_cuts_fc = sys.argv[6]
best_cuts_fc = sys.argv[7]
depressions2cut_fc = sys.argv[8]
# local processing directory
proc_dir = sys.argv[9]
match_depth = sys.argv[10]
doCutter(input_dem, huc_roads, search_distance_file, output_dem, clib_metadata, good_cuts_fc, best_cuts_fc, depressions2cut_fc, proc_dir, match_depth, cleanup, messages)
arcpy.AddMessage("Back from doing!")