def deleteLayers(self):
'''
@param: self
@brief: Elimina las capas de los dataframes
:return: None
'''
[
mapping.RemoveLayer(df, l) for df in self.dataframes
for l in mapping.ListLayers(self.mxd, '', df)
]
# update and insert layer
main_df = mp.ListDataFrames(mxd)[1]
main_lyrs = mp.ListLayers(mxd, "", main_df)
for lyr in main_lyrs:
lyr_name = lyr.name
if "Sea" in lyr_name:
lyr.transparency = 0
elif "Contours" in lyr_name:
print "Updating %s" % lyr_name
mp.UpdateLayer(main_df, lyr, ref_lyr)
elif "Bathymetry" in lyr_name:
print "Removing %s" % lyr_name
mp.RemoveLayer(main_df, lyr)
else:
pass
#print 'no'
#save mapdoc
mxd.save()
#export map
map_name = os.path.join(out_dir, mdoc_name)
print "Exporting %s" % mapdoc
mp.ExportToPNG(mxd, map_name, resolution=250)
print '\n'
del mxd, lyr
count += 1
FeatureClassToFeatureClass_conversion(r"Database Connections\CANP.sde\NM3.NM_NLT_CRND_CRND_SDO", STAGEDB, "CRND" )
TableToTable_conversion(r'Database Connections\CANP.sde\KDOT.MV_MAP_EXTRACT', STAGEDB, "Map_Extract")
TableToTable_conversion(r'Database Connections\CANP.sde\NM3.NM_ELEMENTS_ALL', STAGEDB, "ELEMENTS_ALL")
TableToTable_conversion(r'Database Connections\CANP.sde\NM3.NM_MEMBERS_ALL', STAGEDB, "MEMBERS_ALL") #Members takes a long time to copy
#To copy the SECT layer it must be joined to preserve RSE_HE_ID
MakeFeatureLayer_management(r"Database Connections\CANP.sde\NM3.NM3_NET_MAP_SECT_TABLE", "NM_SECT" )
MakeTableView_management(STAGEDB+r"\Elements_ALL", "ELEMENTS")
AddJoin_management("NM_SECT", "RSE_HE_ID", "ELEMENTS", "NE_ID", "KEEP_COMMON")
FeatureClassToFeatureClass_conversion("NM_SECT", STAGEDB, "SECT" )
#Remove the CANP Prod layers
for df in mapping.ListDataFrames(mxd):
for lyr in mapping.ListLayers(mxd, "", df):
mapping.RemoveLayer(df, lyr)
RefreshActiveView()
#Start the processing to rebuild layers
MakeFeatureLayer_management(STAGEDB+r"\SRND", "SRND")
SRNDelem = "NE_NT_TYPE = 'SRND' AND NE_VERSION_NO in ('EB', 'NB')"
MakeTableView_management(STAGEDB+r"\ELEMENTS_ALL", "SRND_ELEM", SRNDelem)
AddJoin_management("SRND", "NE_ID", "SRND_ELEM", "NE_ID", "KEEP_COMMON")
#Create the vertices for calibration points
FeatureVerticesToPoints_management("SRND", STAGEDB+"/Calibration_Points_SRND","ALL")
AddXY_management("GIS_CANSYS.DBO.Calibration_Points_SRND")
'''
LocateFeaturesAlongRoutes_lr(ws+"\\"+tempgdb+"/Calibration_Points",ws+"\\"+tempgdb+"/SRND","NE_UNIQUE","0.001 Feet",ws+"\\"+tempgdb+"/CP_SRND","STATE_MILE POINT SR_MEAS","ALL","DISTANCE","ZERO","FIELDS","M_DIRECTON")
AddJoin_management("SECT","RSE_HE_ID","Elements","NE_ID","KEEP_COMMON")
styleItem,
show_feature_count=True)
## if item.name == str(Cfc):
## legend.removeItem(item)
## if item.name == str(Officialfc) or item.name == str(RMSHDfc):
## legend.updateItem(item, show_feature_count = True)
#Refresh TOC and ActiveView
arcpy.RefreshActiveView()
arcpy.RefreshTOC()
map.ExportToPDF(
mxd, r"C:/gc_work/evl/Outputs/" + floodmodel +
"_" + name + ".pdf")
map.RemoveLayer(df, InputBuildingLayer_temp)
map.RemoveLayer(df, InputRMSHDFishnetLayer_temp)
map.RemoveLayer(df, InputOfficialFishnetLayer_temp)
map.RemoveLayer(df, InputCityLayer_temp)
map.RemoveLayer(df, BuildingLayer)
map.RemoveLayer(df, RMSHDFishnetLayer)
map.RemoveLayer(df, OfficialFishnetLayer)
map.RemoveLayer(df, CityLayer)
## mxd.save()
del InputBuildingLayer_temp, InputRMSHDFishnetLayer_temp, InputOfficialFishnetLayer_temp, InputCityLayer_temp
del BuildingLayer, RMSHDFishnetLayer, OfficialFishnetLayer, CityLayer
del Cfc
del RMSHDfc
del Officialfc
rasDir2 = "F:\\NFIE_SI_2016\\groupProject\\postprocessOutput\\rasters\\composites\\"
outlyrDir = "F:\\NFIE_SI_2016\\groupProject\\postprocessOutput\\rasters\\layers\\"
# Source layers that will be used for symbology reference
fldext_srcLyr = mp.Layer(outlyrDir + "fldext_source_stretch.lyr")
wd_srcLyr = mp.Layer(outlyrDir + "wd_source_stretch.lyr")
fv_srcLyr = mp.Layer(outlyrDir + "fv_source_stretch.lyr")
crit_srcLyr = mp.Layer(outlyrDir + "crit_source_stretch.lyr")
spatialRef = arcpy.SpatialReference(
3857) # 3857 is code for WGS_1984_Web_Mecator (auxiliary sphere)
# Remove all current possible layers in the MXD
for df in mp.ListDataFrames(mxd):
for lyr in mp.ListLayers(mxd, "*", df):
mp.RemoveLayer(df, lyr)
# Set up raster list
dirList2 = os.listdir(rasDir2)
# List the files found in dirList with their full pathname
rasList2 = [
rasDir2 + filename for filename in dirList2 if filename.endswith(".tif")
]
# Set up loop for adding raster layers to MXD
for ras in rasList2:
rasName2 = os.path.basename(ras[:-4])
if "Per" in rasName2:
outLyr = outlyrDir + rasName2 + ".lyr"
tmpLyr = outlyrDir + rasName2
show_feature_count=True)
BuildingLayer.name = "Open Street map building"
FishnetLayer.name = "Number of flooded buildings"
InputBuildingLayer_temp.name = "Open Street map building"
InputFishnetLayer_temp.name = "Number of flooded buildings"
#Refresh TOC and ActiveView
arcpy.RefreshActiveView()
arcpy.RefreshTOC()
map.ExportToPDF(
mxd, r"C:/gc_work/evl/Outputs/" + floodmodel +
"_" + name + ".pdf")
map.RemoveLayer(df, InputBuildingLayer_temp)
map.RemoveLayer(df, InputFishnetLayer_temp)
map.RemoveLayer(df, InputCityLayer_temp)
map.RemoveLayer(df, BuildingLayer)
map.RemoveLayer(df, FishnetLayer)
map.RemoveLayer(df, CityLayer)
#mxd.save()
del InputBuildingLayer_temp, InputFishnetLayer_temp, BuildingLayer, FishnetLayer, CityLayer, InputCityLayer_temp
del Cfc
del Ffc
del Bfc
del mxd
else:
print("GDB Does not exists")
arcpy.AddMessage("GDB Does not exists")
