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SSURGO_Convert_to_GeodatabaseF.py
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# SSURGO_Convert_to_GeodatabaseF.py
# Alternative processing method. Import tabular data one table at a time.
#
# ArcGIS 10.1 (10.2 mostly works except for automtically updating metadata)
#
# Steve Peaslee, National Soil Survey Center, Lincoln, Nebraska
#
# Purpose: allow batch appending of SSURGO soil shapefiles and soil attribute tables into a single file geodatabase (10.0).
# Requires input dataset structure to follow the NRCS standard for Geospatial data (eg. soil_ne109\spatial and soil_ne109/tabular)
#
# Merge order is based upon sorted extent coordinates
# For the attribute data, we use an XML workspace document to define FGDB schema and read the tables from the SSURGO template database.
# These xml files should reside in the same folder as this script. See the GetML function for more info.
#
# Things yet to do:
#
# 1. Update metadata for each XML workspace document
# 2. Test implementation of ITRF00 datum transformation
# 11-15-2013 Added 'bailout' if one of the input template database tables is not found
# 11-22-2013
# 12-09-2013 Added option for automatically inserting featureclass alias for ArcGIS 10.1 and above
#
# 12-13-2013 Changed datum transformation method to always use ITRF00
#
# 01-04-2014 Added tabular metadata and automated the inclusion of state name and soil survey areas to metadata.
# 01-08-2014 Still need to automate metadata dates and gSSURGO process steps
# 01-09-2014 Removed hard-coded path to XML metadata translator file to make it 10.2 compatible
# 2014-09-27
# 2014-10-31 Added text file import to this script. Need to clean this up and make
# it an option to the normal Access database import.
#
# In 2014, the folders within the WSS-SSURGO Download zipfiles were renamed to AREASYMBOL (uppercase)
# instead of soil_[AREASYMBOL]
# 2015-10-21 Modified tabular import to truncate string values to match field length
#
# 2015-11-13 Added import for metadata files so that up-to-date information will be used. These
# tables have information about tables, columns, relationships and domain values.
#
# 2015-12-08 Added check for SSURGO version number (schema version). Hardcoded as 2 for gSSURGO.
#
# 2015-12-15 Incorporated primary key unique value constraint on sdv* tables as is done for the Access databases.
#
# 2016-03-15 Tabular import now uses CP1252 so that csv import of ESIS data won't error.
#
# 2017-06-28 Problem with metadata import.
# arcpy.ExportMetadata_conversion (target, mdTranslator, mdExport)
# <class 'arcgisscripting.ExecuteError'>: Failed to execute. Parameters are not valid.
# ERROR 000584: Implementation of this Tool's Validate is invalid
#
# 2017-08-16 Added attribute index on rulekey, mrulekey for cointerp table.
# Need to remove DVD option from Transfer in XML Workspace document and
# replace with hard drive option.
# Offline media: External Drive
# Recording format: NTFS 3.0
# 2018-11-27. Fixed recent problem with relationshipclasses. Origin and destination tables were switched resulting in key-null errors if
# an attempt was made to delete any records.
# 2019-09-24. Remove the following columns from cointerp table and modified the .csv import:
#
# interpll
# interpllc
# interplr
# interplrc
# interphh
# interphhc
# 2020-03-30. Removed the above columns from the ImportTables function as well.
# 2021-11-30. Modified gSSURGO function to handle multiple SSURGO download naming conventions. - AD
# 2022-7-27. Updated the alias parameter passed from the gSSURGO function to the CreateSSURGO_DB
# function. Specifically, added the state and YYYYMM that the gSSURGO DB was created.
## ===================================================================================
class MyError(Exception):
pass
## ===================================================================================
def errorMsg():
try:
excInfo = sys.exc_info()
tb = excInfo[2]
tbinfo = traceback.format_tb(tb)[0]
theMsg = tbinfo + " \n" + str(sys.exc_type)+ ": " + str(sys.exc_value) + " \n"
PrintMsg(theMsg, 2)
except:
PrintMsg("Unhandled error in errorMsg method", 2)
pass
## ===================================================================================
def PrintMsg(msg, severity=0):
# Adds tool message to the geoprocessor
#
#Split the message on \n first, so that if it's multiple lines, a GPMessage will be added for each line
try:
for string in msg.split('\n'):
#Add a geoprocessing message (in case this is run as a tool)
if severity == 0:
arcpy.AddMessage(string)
elif severity == 1:
arcpy.AddWarning(string)
elif severity == 2:
arcpy.AddError(" \n" + string)
except:
pass
## ===================================================================================
def Number_Format(num, places=0, bCommas=True):
try:
# Format a number according to locality and given places
locale.setlocale(locale.LC_ALL, "")
if bCommas:
theNumber = locale.format("%.*f", (places, num), True)
else:
theNumber = locale.format("%.*f", (places, num), False)
return theNumber
except:
errorMsg()
#PrintMsg("Unhandled exception in Number_Format function (" + str(num) + ")", 2)
return "???"
## ===================================================================================
def AddNewFields(outputShp, columnNames, columnInfo):
# TEMPORARY CODE
#
# Create the empty output table that will contain the data from Soil Data Access
#
# ColumnNames and columnInfo come from the Attribute query JSON string
# MUKEY would normally be included in the list, but it should already exist in the output featureclass
#
# Problem using temporary, IN_MEMORY table and JoinField with shapefiles to add new columns. Really slow performance.
try:
# Dictionary: SQL Server to FGDB
#PrintMsg(" \nAddNewFields function begins", 1)
dType = dict()
dType["int"] = "long"
dType["smallint"] = "short"
dType["bit"] = "short"
dType["varbinary"] = "blob"
dType["nvarchar"] = "text"
dType["varchar"] = "text"
dType["char"] = "text"
dType["datetime"] = "date"
dType["datetime2"] = "date"
dType["smalldatetime"] = "date"
dType["decimal"] = "double"
dType["numeric"] = "double"
dType["float"] ="double"
# numeric type conversion depends upon the precision and scale
dType["numeric"] = "float" # 4 bytes
dType["real"] = "double" # 8 bytes
# Iterate through list of field names and add them to the output table
i = 0
# ColumnInfo contains:
# ColumnOrdinal, ColumnSize, NumericPrecision, NumericScale, ProviderType, IsLong, ProviderSpecificDataType, DataTypeName
#PrintMsg(" \nFieldName, Length, Precision, Scale, Type", 1)
joinedFields = list() # new fields that need to be added to the output table
dataFields = list() # fields that need to be updated in the AttributeRequest function
outputTbl = os.path.join("IN_MEMORY", "Template")
#arcpy.CreateTable_management(os.path.dirname(outputTbl), os.path.basename(outputTbl))
# Get a list of fields that already exist in outputShp
outFields = arcpy.Describe(outputShp).fields
existingFields = [fld.name.lower() for fld in outFields]
# Using JoinField to add the NATMUSYM column to the outputTbl (but not the data)
#
for i, fldName in enumerate(columnNames):
# Get new field definition from columnInfo dictionary
vals = columnInfo[i].split(",")
length = int(vals[1].split("=")[1])
precision = int(vals[2].split("=")[1])
scale = int(vals[3].split("=")[1])
dataType = dType[vals[4].lower().split("=")[1]]
#if not fldName.lower() == "mukey":
# joinedFields.append(fldName)
if not fldName.lower() in existingFields:
# This is a new data field that needs to be added to the output table.
#arcpy.AddField_management(outputTbl, fldName, dataType, precision, scale, length) # add to IN_MEMORY table
arcpy.AddField_management(outputShp, fldName, dataType, precision, scale, length) # add direct to featureclass
joinedFields.append(fldName)
dataFields.append(fldName)
elif fldName.lower() in existingFields and fldName.lower() != "mukey":
# This is an existing data field in the output table.
dataFields.append(fldName)
elif fldName.lower() == "mukey":
#arcpy.AddField_management(outputTbl, fldName, dataType, precision, scale, length)
pass
if arcpy.Exists(outputTbl) and len(joinedFields) > 0:
#PrintMsg(" \nAdded these new fields to " + os.path.basename(outputShp) + ": " + ", ".join(joinedFields), 1)
#arcpy.JoinField_management(outputShp, "mukey", outputTbl, "mukey", joinedFields) # instead add directly to output featureclass
arcpy.Delete_management(outputTbl)
return dataFields
else:
#PrintMsg(" \nThese fields already exist in the output table: " + ", ".join(dataFields), 1)
arcpy.Delete_management(outputTbl)
return dataFields
except:
errorMsg()
return ["Error"]
## ===================================================================================
def GetSDMInfo(theURL, tblName):
# TEMPORARY CODE
#
# POST REST which uses urllib and JSON
#
# Send query to SDM Tabular Service, returning data in JSON format
try:
if theURL == "":
theURL = "https://sdmdataaccess.sc.egov.usda.gov"
sQuery = """SELECT TOP 1 * FROM """ + tblName
#PrintMsg(" \nRequesting tabular data for " + Number_Format(len(keyList), 0, True) + " soil survey areas...")
arcpy.SetProgressorLabel("Sending tabular request for " + tblName + " to Soil Data Access...")
# Tabular service to append to SDA URL
url = theURL + "/Tabular/SDMTabularService/post.rest"
dRequest = dict()
dRequest["format"] = "JSON+COLUMNNAME+METADATA"
dRequest["query"] = sQuery
#PrintMsg(" \nURL: " + url)
#PrintMsg("FORMAT: " + dRequest["FORMAT"])
#PrintMsg("QUERY: " + sQuery)
# Create SDM connection to service using HTTP
jData = json.dumps(dRequest)
# Send request to SDA Tabular service
req = urllib2.Request(url, jData)
resp = urllib2.urlopen(req)
#PrintMsg(" \nImporting attribute data...", 0)
#PrintMsg(" \nGot back requested data...", 0)
# Read the response from SDA into a string
jsonString = resp.read()
#PrintMsg(" \njsonString: " + str(jsonString), 1)
data = json.loads(jsonString)
del jsonString, resp, req
if not "Table" in data:
raise MyError, "Query failed to select anything: \n " + sQuery
dataList = data["Table"] # Data as a list of lists. Service returns everything as string.
arcpy.SetProgressorLabel("Adding new fields to output table...")
PrintMsg(" \nRequested data consists of " + Number_Format(len(dataList), 0, True) + " records", 0)
# Get column metadata from first two records
columnNames = dataList.pop(0)
columnInfo = dataList.pop(0)
if len(noMatch) > 0:
PrintMsg(" \nNo attribute data for mukeys: " + str(noMatch), 1)
arcpy.SetProgressorLabel("Finished importing attribute data")
PrintMsg(" \nImport complete... \n ", 0)
return True
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return False
except urllib2.HTTPError:
errorMsg()
PrintMsg(" \n" + sQuery, 1)
return False
except:
errorMsg()
return False
## ===================================================================================
def SetScratch():
# try to set scratchWorkspace and scratchGDB if null
# SYSTEMDRIVE
# APPDATA C:\Users\adolfo.diaz\AppData\Roaming
# USERPROFILE C:\Users\adolfo.diaz
try:
envVariables = os.environ
for var, val in envVariables.items():
PrintMsg("\tSystem: " + str(var) + ": " + str(val), 1)
environments = arcpy.ListEnvironments()
# Sort the environment names
environments.sort()
for ev in environments:
# Format and print each environment and its current setting.
# (The environments are accessed by key from arcpy.env.)
#PrintMsg("{0:<30}: {1}".format(environment, arcpy.env[environment]), 1)
PrintMsg("\tGP: " + ev + "\t" + str(env[ev]), 1)
if env.scratchWorkspace is None:
#PrintMsg("\tWarning. Scratchworkspace has not been set for the geoprocessing environment", 1)
env.scratchWorkspace = env.scratchFolder
PrintMsg("\nThe scratch geodatabase has been set to: " + str(env.scratchGDB), 1)
elif str(env.scratchWorkspace).lower().endswith("default.gdb"):
PrintMsg("\tChanging scratch geodatabase from Default.gdb", 1)
env.scratchWorkspace = env.scratchFolder
PrintMsg("\tTo: " + str(env.scratchGDB), 1)
#else:
# PrintMsg(" \nOriginal Scratch Geodatabase is OK: " + env.scratchGDB, 1)
if env.scratchGDB:
return True
else:
return False
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e) + " \n ", 2)
return False
except:
errorMsg()
return False
## ===================================================================================
def SetOutputCoordinateSystem(inLayer, AOI):
#
# Not being used any more!
#
# The GetXML function is now used to set the XML workspace
# document and a single NAD1983 to WGS1984 datum transformation (ITRF00) is now being used.
#
# Below is a description of the 2013 settings
# Set a hard-coded output coordinate system (Geographic WGS 1984)
# Set an ESRI datum transformation method for NAD1983 to WGS1984
# Based upon ESRI 10.1 documentation and the methods that were used to
# project SDM featureclasses during the transition from ArcSDE to SQL Server spatial
#
# CONUS - NAD_1983_To_WGS_1984_5
# Hawaii and American Samoa- NAD_1983_To_WGS_1984_3
# Alaska - NAD_1983_To_WGS_1984_5
# Puerto Rico and U.S. Virgin Islands - NAD_1983_To_WGS_1984_5
# Other - NAD_1983_To_WGS_1984_1 (shouldn't run into this case)
try:
outputSR = arcpy.SpatialReference(4326) # GCS WGS 1984
# Get the desired output geographic coordinate system name
outputGCS = outputSR.GCS.name
# Describe the input layer and get the input layer's spatial reference, other properties
desc = arcpy.Describe(inLayer)
dType = desc.dataType
sr = desc.spatialReference
srType = sr.type.upper()
inputGCS = sr.GCS.name
# Print name of input layer and dataype
if dType.upper() == "FEATURELAYER":
#PrintMsg(" \nInput " + dType + ": " + desc.nameString, 0)
inputName = desc.nameString
elif dType.upper() == "FEATURECLASS":
#PrintMsg(" \nInput " + dType + ": " + desc.baseName, 0)
inputName = desc.baseName
else:
#PrintMsg(" \nInput " + dType + ": " + desc.name, 0)
inputName = desc.name
if outputGCS == inputGCS:
# input and output geographic coordinate systems are the same
# no datum transformation required
#PrintMsg(" \nNo datum transformation required", 0)
tm = ""
else:
# Different input and output geographic coordinate systems, set
# environment to unproject to WGS 1984, matching Soil Data Mart
tm = "WGS_1984_(ITRF00)_To_NAD_1983"
# These next two lines set the output coordinate system environment
arcpy.env.outputCoordinateSystem = outputSR
arcpy.env.geographicTransformations = tm
return True
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e) + " \n", 2)
return False
except:
errorMsg()
return False
## ===================================================================================
def CreateSSURGO_DB(outputWS, inputXML, areasymbolList, aliasName):
# Create new 10.0 File Geodatabase using XML workspace document
#
try:
if not arcpy.Exists(inputXML):
PrintMsg(" \nMissing input file: " + inputXML, 2)
return False
outputFolder = os.path.dirname(outputWS)
gdbName = os.path.basename(outputWS)
if arcpy.Exists(os.path.join(outputFolder, gdbName)):
arcpy.Delete_management(os.path.join(outputFolder, gdbName))
PrintMsg(" \nCreating new geodatabase (" + gdbName + ") in " + outputFolder, 0)
env.XYResolution = "0.001 Meters"
env.XYTolerance = "0.01 Meters"
arcpy.CreateFileGDB_management(outputFolder, gdbName)
# The following command will fail when the user only has a Basic license
arcpy.ImportXMLWorkspaceDocument_management(os.path.join(outputFolder, gdbName), inputXML, "SCHEMA_ONLY")
# Create indexes for cointerp here.
# If it works OK, incorporate these indexes into the xml workspace document
try:
pass
except:
PrintMsg(" \nUnable to index the cointerp table", 1)
if not arcpy.Exists(os.path.join(outputFolder, gdbName)):
raise MyError, "Failed to create new geodatabase"
env.workspace = os.path.join(outputFolder, gdbName)
tblList = arcpy.ListTables()
if len(tblList) < 50:
raise MyError, "Output geodatabase has only " + str(len(tblList)) + " tables"
# Alter aliases for featureclasses
if aliasName != "":
try:
arcpy.AlterAliasName("MUPOLYGON", "Map Unit Polygons - " + aliasName)
arcpy.AlterAliasName("MUPOINT", "Map Unit Points - " + aliasName)
arcpy.AlterAliasName("MULINE", "Map Unit Lines - " + aliasName)
arcpy.AlterAliasName("FEATPOINT", "Special Feature Points - " + aliasName)
arcpy.AlterAliasName("FEATLINE", "Special Feature Lines - " + aliasName)
arcpy.AlterAliasName("SAPOLYGON", "Survey Boundaries - " + aliasName)
except:
pass
arcpy.RefreshCatalog(outputFolder)
return True
except MyError, e:
PrintMsg(str(e), 2)
return False
except:
errorMsg()
return False
## ===================================================================================
def GetTableList(outputWS):
# Query mdstattabs table to get list of input text files (tabular) and output tables
# This function assumes that the MDSTATTABS table is already present and populated
# in the output geodatabase per XML Workspace Document.
#
# Skip all 'MDSTAT' tables. They are static.
#
try:
tblList = list()
mdTbl = os.path.join(outputWS, "mdstattabs")
if not arcpy.Exists(outputWS):
raise MyError, "Missing output geodatabase: " + outputWS
if not arcpy.Exists(mdTbl):
raise MyError, "Missing mdstattabs table in output geodatabase"
else:
# got the mdstattabs table, create list
#mdFields = ('tabphyname','iefilename')
mdFields = ('tabphyname')
with arcpy.da.SearchCursor(mdTbl, mdFields) as srcCursor:
for rec in srcCursor:
tblName = rec[0]
if not tblName.startswith('mdstat') and not tblName in ('mupolygon', 'muline', 'mupoint', 'featline', 'featpoint', 'sapolygon'):
tblList.append(rec[0])
#PrintMsg(" \nTables to import: " + ", ".join(tblList), 0)
return tblList
except MyError, e:
PrintMsg(str(e), 2)
return []
except:
errorMsg()
return []
## ===================================================================================
def GetLastDate(inputDB):
# Get the most recent date 'YYYYMMDD' from SACATALOG.SAVEREST and use it to populate metadata
#
try:
tbl = os.path.join(inputDB, "SACATALOG")
today = ""
sqlClause = [None, "ORDER BY SAVEREST DESC"]
with arcpy.da.SearchCursor(tbl, ['SAVEREST'], sql_clause=sqlClause ) as cur:
for rec in cur:
lastDate = rec[0].strftime('%Y%m%d')
break
return lastDate
except MyError, e:
# Example: raise MyError("this is an error message")
PrintMsg(str(e) + " \n", 2)
return ""
except:
errorMsg()
return ""
## ===================================================================================
def GetTemplateDate(newDB, areaSym):
# Get SAVEREST date from previously existing Template database
# Use it to compare with the date from the WSS dataset
# If the existing database is same or newer, it will be kept and the WSS version skipped.
# This function is also used to test the output geodatabase to make sure that
# the tabular import process was successful.
#
try:
if not arcpy.Exists(newDB):
return 0
saCatalog = os.path.join(newDB, "SACATALOG")
dbDate = 0
whereClause = "UPPER(AREASYMBOL) = '" + areaSym.upper() + "'"
#PrintMsg(" \nWhereClause for sacatalog: " + areaSym, 1)
if arcpy.Exists(saCatalog):
with arcpy.da.SearchCursor(saCatalog, ("SAVEREST"), where_clause=whereClause) as srcCursor:
for rec in srcCursor:
dbDate = str(rec[0]).split(" ")[0]
del saCatalog
del newDB
return dbDate
else:
# unable to open SACATALOG table in existing dataset
return 0
except:
errorMsg()
return 0
## ===================================================================================
def SSURGOVersionTxt(tabularFolder):
# For future use. Should really create a new table for gSSURGO in order to implement properly.
#
# Get SSURGO version from the Template database "SYSTEM Template Database Information" table
# or from the tabular/version.txt file, depending upon which is being imported.
# Compare the version number (first digit) to a hardcoded version number which should
# be theoretically tied to the XML workspace document that accompanies the scripts.
try:
# Get SSURGOversion number from version.txt
versionTxt = os.path.join(tabularFolder, "version.txt")
if arcpy.Exists(versionTxt):
# read just the first line of the version.txt file
fh = open(versionTxt, "r")
txtVersion = int(fh.readline().split(".")[0])
fh.close()
return txtVersion
else:
# Unable to compare vesions. Warn user but continue
PrintMsg("Unable to find tabular file: version.txt", 1)
return 0
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return 0
except:
errorMsg()
return 0
## ===================================================================================
def SSURGOVersionDB(templateDB):
# For future use. Should really create a new table for gSSURGO in order to implement properly.
#
# Get SSURGO version from the Template database "SYSTEM Template Database Information" table
try:
if not arcpy.Exists(templateDB):
raise MyError, "Missing input database (" + newDB + ")"
systemInfo = os.path.join(templateDB, "SYSTEM - Template Database Information")
if arcpy.Exists(systemInfo):
# Get SSURGO Version from template database
dbVersion = 0
with arcpy.da.SearchCursor(systemInfo, "*", "") as srcCursor:
for rec in srcCursor:
if rec[0] == "SSURGO Version":
dbVersion = int(str(rec[2]).split(".")[0])
#PrintMsg("\tSSURGO Version from DB: " + dbVersion, 1)
del systemInfo
del templateDB
return dbVersion
else:
# Unable to open SYSTEM table in existing dataset
# Warn user but continue
raise MyError, "Unable to open 'SYSTEM - Template Database Information'"
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return 0
except:
errorMsg()
return 0
## ===============================================================================================================
def GetTableInfo(newDB):
# Retrieve physical and alias names from MDSTATTABS table and assigns them to a blank dictionary.
# Stores physical names (key) and aliases (value) in a Python dictionary i.e. {chasshto:'Horizon AASHTO,chaashto'}
# Fieldnames are Physical Name = AliasName,IEfilename
try:
tblInfo = dict()
# Open mdstattabs table containing information for other SSURGO tables
theMDTable = "mdstattabs"
env.workspace = newDB
# Establishes a cursor for searching through field rows. A search cursor can be used to retrieve rows.
# This method will return an enumeration object that will, in turn, hand out row objects
if arcpy.Exists(os.path.join(newDB, theMDTable)):
fldNames = ["tabphyname","tablabel","iefilename"]
with arcpy.da.SearchCursor(os.path.join(newDB, theMDTable), fldNames) as rows:
for row in rows:
# read each table record and assign 'tabphyname' and 'tablabel' to 2 variables
physicalName = row[0]
aliasName = row[1]
importFileName = row[2]
if not importFileName in tblInfo:
#PrintMsg("\t" + importFileName + ": " + physicalName, 1)
tblInfo[importFileName] = physicalName, aliasName
del theMDTable
return tblInfo
else:
# The mdstattabs table was not found
raise MyError, "Missing mdstattabs table"
return tblInfo
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return False
except:
errorMsg()
return dict()
## ===================================================================================
def ImportMDTables(newDB, dbList):
# Import as single set of metadata tables from first survey area's Access database
# These tables contain table information, relationship classes and domain values
# They have to be populated before any of the other tables
#
# mdstatdomdet
# mdstatdommas
# mdstatidxdet
# mdstatidxmas
# mdstatrshipdet
# mdstatrshipmas
# mdstattabcols
# mdstattabs
try:
#PrintMsg(" \nImporting metadata tables from " + tabularFolder, 1)
# Create list of tables to be imported
tables = ['mdstatdommas', 'mdstatidxdet', 'mdstatidxmas', 'mdstatrshipdet', 'mdstatrshipmas', 'mdstattabcols', 'mdstattabs', 'mdstatdomdet']
accessDB = dbList[0] # source database for metadata table data
# Process list of text files
#
for table in tables:
arcpy.SetProgressorLabel("Importing " + table + "...")
inTbl = os.path.join(accessDB, table)
outTbl = os.path.join(newDB, table)
if arcpy.Exists(inTbl) and arcpy.Exists(outTbl):
# Create cursor for all fields to populate the current table
#
# For a geodatabase, I need to remove OBJECTID from the fields list
fldList = arcpy.Describe(outTbl).fields
fldNames = list()
fldLengths = list()
for fld in fldList:
if fld.type != "OID":
fldNames.append(fld.name.lower())
if fld.type.lower() == "string":
fldLengths.append(fld.length)
else:
fldLengths.append(0)
if len(fldNames) == 0:
raise MyError, "Failed to get field names for " + tbl
with arcpy.da.InsertCursor(outTbl, fldNames) as outcur:
incur = arcpy.da.SearchCursor(inTbl, fldNames)
# counter for current record number
iRows = 0
#try:
# Use csv reader to read each line in the text file
for row in incur:
# replace all blank values with 'None' so that the values are properly inserted
# into integer values otherwise insertRow fails
# truncate all string values that will not fit in the target field
newRow = list()
fldNo = 0
for val in row: # mdstatdomdet was having problems with this 'for' loop. No idea why.
fldLen = fldLengths[fldNo]
if fldLen > 0 and not val is None:
val = val[0:fldLen]
newRow.append(val)
fldNo += 1
try:
outcur.insertRow(newRow)
except:
raise MyError, "Error handling line " + Number_Format(iRows, 0, True) + " of " + txtPath
iRows += 1
if iRows < 63:
# the smallest table (msrmas.txt) currently has 63 records.
raise MyError, tbl + " has only " + str(iRows) + " records"
else:
raise MyError, "Required table '" + tbl + "' not found in " + newDB
return True
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return False
except:
errorMsg()
return False
## ===================================================================================
def ImportMDTabular(newDB, tabularFolder, codePage):
# Import a single set of metadata text files from first survey area's tabular
# These files contain table information, relationship classes and domain values
# They have tobe populated before any of the other tables
#
# mdstatdomdet
# mdstatdommas
# mdstatidxdet
# mdstatidxmas
# mdstatrshipdet
# mdstatrshipmas
# mdstattabcols
# mdstattabs
#codePage = 'cp1252'
try:
PrintMsg(" \nImporting metadata tables from " + tabularFolder, 0)
# Create list of text files to be imported
txtFiles = ['mstabcol', 'msrsdet', 'mstab', 'msrsmas', 'msdommas', 'msidxmas', 'msidxdet', 'msdomdet']
# Create dictionary containing text filename as key, table physical name as value
tblInfo = {'mstabcol': 'mdstattabcols', 'msrsdet': 'mdstatrshipdet', 'mstab': 'mdstattabs', 'msrsmas': 'mdstatrshipmas', 'msdommas': 'mdstatdommas', 'msidxmas': 'mdstatidxmas', 'msidxdet': 'mdstatidxdet', 'msdomdet': 'mdstatdomdet'}
csv.field_size_limit(128000)
# Process list of text files
for txtFile in txtFiles:
# Get table name and alias from dictionary
if txtFile in tblInfo:
tbl = tblInfo[txtFile]
else:
raise MyError, "Required input textfile '" + txtFile + "' not found in " + tabularFolder
arcpy.SetProgressorLabel("Importing " + tbl + "...")
# Full path to SSURGO text file
txtPath = os.path.join(tabularFolder, txtFile + ".txt")
# continue import process only if the target table exists
if arcpy.Exists(tbl):
# Create cursor for all fields to populate the current table
#
# For a geodatabase, I need to remove OBJECTID from the fields list
fldList = arcpy.Describe(os.path.join(newDB, tbl)).fields
fldNames = list()
fldLengths = list()
for fld in fldList:
if fld.type != "OID":
fldNames.append(fld.name)
if fld.type.lower() == "string":
fldLengths.append(fld.length)
else:
fldLengths.append(0)
if len(fldNames) == 0:
raise MyError, "Failed to get field names for " + tbl
with arcpy.da.InsertCursor(os.path.join(newDB, tbl), fldNames) as cursor:
# counter for current record number
iRows = 1 # input textfile line number
if os.path.isfile(txtPath):
# Use csv reader to read each line in the text file
for rowInFile in csv.reader(open(txtPath, 'rb'), delimiter='|'):
# , quotechar="'"
# replace all blank values with 'None' so that the values are properly inserted
# into integer values otherwise insertRow fails
# truncate all string values that will not fit in the target field
newRow = list()
fldNo = 0
fixedRow = [x.decode(codePage) for x in rowInFile] # handle non-utf8 characters
#.decode('iso-8859-1').encode('utf8')
#fixedRow = [x.decode('iso-8859-1').encode('utf8') for x in rowInFile]
#fixedRow = [x.decode('iso-8859-1') for x in rowInFile]
for val in fixedRow: # mdstatdomdet was having problems with this 'for' loop. No idea why.
fldLen = fldLengths[fldNo]
if val == '':
val = None
elif fldLen > 0:
val = val[0:fldLen]
newRow.append(val)
fldNo += 1
try:
cursor.insertRow(newRow)
except:
raise MyError, "Error handling line " + Number_Format(iRows, 0, True) + " of " + txtPath
iRows += 1
if iRows < 63:
# msrmas.txt has the least number of records
raise MyError, tbl + " has only " + str(iRows) + " records. Check 'md*.txt' files in tabular folder"
else:
raise MyError, "Missing tabular data file (" + txtPath + ")"
else:
raise MyError, "Required table '" + tbl + "' not found in " + newDB
return True
except MyError, e:
# Example: raise MyError, "This is an error message"
PrintMsg(str(e), 2)
return False
except:
errorMsg()
return False
## ===================================================================================
def ImportTables(outputWS, dbList, dbVersion):
#
# Import tables from an Access Template database. Does not require text files, but
# the Access database must be populated and it must reside in the tabular folder and
# it must be named 'soil_d_<AREASYMBOL>.mdb'
# Origin: SSURGO_Convert_to_Geodatabase.py
# Change: 4 columns exist in the .mdb cointerp table but have been removed from the gSSURGO template databases.
try:
tblList = GetTableList(outputWS)
# Something is slowing up the CONUS gSSURGO database creation at the end of this function. Could it be the
# relationshipclasses triggering new indexes?
arcpy.SetProgressorLabel("\tAdding additional relationships for sdv* tables...")
#arcpy.CreateRelationshipClass_management("sdvattribute", "sdvfolderattribute", "xSdvattribute_Sdvfolderattribute", "SIMPLE", "> SDV Folder Attribute Table", "< SDV Attribute Table", "NONE", "ONE_TO_MANY", "NONE", "attributekey", "attributekey", "","")
#PrintMsg(" --> zSdvfolder_Sdvfolderattribute", 1)
#arcpy.CreateRelationshipClass_management("sdvfolder", "sdvfolderattribute", "xSdvfolder_Sdvfolderattribute", "SIMPLE", "> SDV Folder Attribute Table", "< SDV Folder Table", "NONE", "ONE_TO_MANY", "NONE", "folderkey", "folderkey", "","")
if len(tblList) == 0:
raise MyError, "No tables found in " + outputWS
# Set up enforcement of unique keys for SDV tables
#
dIndex = dict() # dictionary storing field index for primary key of each SDV table
dKeys = dict() # dictionary containing a list of key values for each SDV table
dFields = dict() # dictionary containing list of fields for eacha SDV table
keyIndx = dict() # dictionary containing key field index number for each SDV table
keyFields = dict() # dictionary containing a list of key field names for each SDV table
keyFields['sdvfolderattribute'] = "attributekey"
keyFields['sdvattribute'] = "attributekey"
keyFields['sdvfolder'] = "folderkey"
keyFields['sdvalgorithm'] = "algorithmsequence"
sdvTables = ['sdvfolderattribute', 'sdvattribute', 'sdvfolder', 'sdvalgorithm']
for sdvTbl in sdvTables:
keyField = keyFields[sdvTbl]
fldList = arcpy.Describe(os.path.join(outputWS, sdvTbl)).fields
fldNames = list()
for fld in fldList:
if fld.type != "OID":
fldNames.append(fld.name.lower())
#dFields[sdvTbl] = fldNames # store list of fields for this SDV table
dIndex[sdvTbl] = fldNames.index(keyField) # store field index for primary key in this SDV table
dKeys[sdvTbl] = [] # initialize key values list for this SDV table