Odpowiedzi:
Oto skrypt Pythona dla ArcGIS 10, który zasadniczo robi to, co chcesz, z wyjątkiem tego, że dane wyjściowe to plik CSV, a nie tabela geobazy. Modyfikuj i używaj, jak chcesz. Pamiętaj, że nie jest dobrze przetestowany i nie jest obsługiwany, więc używaj na własne ryzyko.
"""
This script looks through the specified geodatabase and reports the
names of all data elements, their schema owners and their feature
dataset (if applicable). Certain metadata elements such as abstract,
purpose and search keys are also reported.
The output is a CSV file that can be read by Excel, ArcGIS, etc.
Only geodatabases are supported, not folder workspaces.
Note: If run from outside of ArcToolbox, you will need to add
the metadata tool assemblies to the Global Assembly Cache.
See: http://forums.arcgis.com/threads/74468-Python-Errors-in-IDLE-when-processing-metadata
Parameters:
0 - Input workspace (file geodatabase, personal geodatabase,
or SDE connection file)
1 - Output CSV file
Date updated: 2/11/2013
"""
import arcpy
import os
import csv
import tempfile
import codecs
import cStringIO
from xml.etree.ElementTree import ElementTree
def ListWorkspaceContentsAndMetadata(workspace):
"""Generator function that lists the contents of the geodatabase including those within feature datasets.
Certain metadata elements are also listed. Only geodatabases are supported, not folder workspaces."""
if not arcpy.Exists(workspace):
raise ValueError("Workspace %s does not exist!" % workspace)
desc = arcpy.Describe(workspace)
if not desc.dataType in ['Workspace', 'FeatureDataset']:
if not hasattr(desc, "workspaceType") or not desc.workspaceType in ["LocalDatabase", "RemoteDatabase"]:
raise ValueError("Workspace %s is not a geodatabase!" % workspace)
children = desc.children
if desc.dataType == 'FeatureDataset':
validationWorkspace = os.path.dirname(workspace)
fdsName = arcpy.ParseTableName(desc.name, validationWorkspace).split(",")[2].strip() # Get the short name of the feature dataset (sans database/owner name)
else:
validationWorkspace = workspace
fdsName = ""
for child in children:
# Parse the full table name into database, owner, table name
database, owner, tableName = [i.strip() if i.strip() != "(null)" else "" for i in arcpy.ParseTableName(child.name, validationWorkspace).split(",")]
datasetType = child.datasetType if hasattr(child, "datasetType") else ""
alias = child.aliasName if hasattr(child, "aliasName") else ""
outrow = [owner, tableName, alias, fdsName, datasetType]
try:
outrow.extend(GetMetadataItems(child.catalogPath))
except:
pass
print ",".join(outrow)
yield outrow
# Recurse to get the contents of feature datasets
if datasetType == 'FeatureDataset':
for outrow in ListWorkspaceContentsAndMetadata(child.catalogPath):
yield outrow
def WriteCSVFile(csvfile, rows, header=None):
"""Creates a CSV file from the input header and row sequences"""
with open(csvfile, 'wb') as f:
f.write(codecs.BOM_UTF8) # Write Byte Order Mark character so Excel knows this is a UTF-8 file
w = UnicodeWriter(f, dialect='excel', encoding='utf-8')
if header:
w.writerow(header)
w.writerows(rows)
def CreateHeaderRow():
"""Specifies the column names (header row) for the CSV file"""
return ("OWNER", "TABLE_NAME", "ALIAS", "FEATURE_DATASET", "DATASET_TYPE", "ORIGINATOR", "CONTACT_ORG", "ABSTRACT", "PURPOSE", "SEARCH_KEYS", "THEME_KEYS")
def CreateDummyXMLFile():
"""Creates an XML file with the required root element 'metadata' in
the user's temporary files directory. Returns the path to the file.
The calling code is responsible for deleting the temporary file."""
tempdir = tempfile.gettempdir()
fd, filepath = tempfile.mkstemp(".xml", text=True)
with os.fdopen(fd, "w") as f:
f.write("<metadata />")
f.close()
return filepath
def GetMetadataElementTree(dataset):
"""Creates and returns an ElementTree object from the specified
dataset's metadata"""
xmlfile = CreateDummyXMLFile()
arcpy.MetadataImporter_conversion(dataset, xmlfile)
tree = ElementTree()
tree.parse(xmlfile)
os.remove(xmlfile)
return tree
def GetElementText(tree, elementPath):
"""Returns the specified element's text if it exists or an empty
string if not."""
element = tree.find(elementPath)
return element.text if element != None else ""
def GetFirstElementText(tree, elementPaths):
"""Returns the first found element matching one of the specified
element paths"""
result = ""
for elementPath in elementPaths:
element = tree.find(elementPath)
if element != None:
result = element.text
break
return result
def ListElementsText(tree, elementPath):
"""Returns a comma+space-separated list of the text values of all
instances of the specified element, or an empty string if none are
found."""
elements = tree.findall(elementPath)
if elements:
return ", ".join([element.text for element in elements])
else:
return ""
def GetMetadataItems(dataset):
"""Retrieves certain metadata text elements from the specified dataset"""
tree = GetMetadataElementTree(dataset)
originator = GetElementText(tree, "idinfo/citation/citeinfo/origin") # Originator
pocorg = GetFirstElementText(tree, ("idinfo/ptcontac/cntinfo/cntperp/cntorg", # Point of contact organization (person primary contact)
"idinfo/ptcontac/cntinfo/cntorgp/cntorg")) # Point of contact organization (organization primary contact)
abstract = GetElementText(tree, "idinfo/descript/abstract") # Abstract
purpose = GetElementText(tree, "idinfo/descript/purpose") # Purpose
searchkeys = ListElementsText(tree, "dataIdInfo/searchKeys/keyword") # Search keywords
themekeys = ListElementsText(tree, "idinfo/keywords/theme/themekey") # Theme keywords
del tree
metadataItems = (originator, pocorg, abstract, purpose, searchkeys, themekeys)
return metadataItems
class UnicodeWriter:
"""
A CSV writer which will write rows to CSV file "f",
which is encoded in the given encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
# Redirect output to a queue
self.queue = cStringIO.StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = codecs.getincrementalencoder(encoding)()
def writerow(self, row):
self.writer.writerow([s.encode("utf-8") for s in row])
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.decode("utf-8")
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data)
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)
if __name__ == '__main__':
workspace = arcpy.GetParameterAsText(0)
csvFile = arcpy.GetParameterAsText(1)
headerRow = CreateHeaderRow()
print headerRow
datasetRows = ListWorkspaceContentsAndMetadata(workspace)
WriteCSVFile(csvFile, datasetRows, headerRow)
GetMetadataItemsi CreateHeaderRow).