def parseMetadataCSV(job, metadataCSVFilePath):
"""
Parses the metadata.csv into a dict with entries for each file.
Each file's entry is an OrderedDict containing the column header and a list of values for each column.
Example CSV:
Filename,dc.title,dc.type,dc.type,Other metadata
objects/foo.jpg,Foo,Photograph,Still Image,Taken on a sunny day
objects/bar/,Bar,Photograph,Still Image,All taken on a rainy day
Produces:
{
'objects/foo.jpg': OrderedDict(dc.title=[Foo], dc.type=[Photograph, Still Image], Other metadata=[Taken on a sunny day])
'objects/bar': OrderedDict(dc.title=[Bar], dc.date=[Photograph, Still Image], Other metadata=[All taken on a rainy day])
}
:param metadataCSVFilePath: Path to the metadata CSV to parse
:return: {<filename>: OrderedDict(<metadata name>: [<metadata value>]) }
"""
metadata = {}
# use universal newline mode to support unusual newlines, like \r
with open(metadataCSVFilePath, "rbU") as f:
reader = csv.reader(f)
# Parse first row as header
header = next(reader)
# Strip filename column, strip whitespace from header values
header = [h.strip() for h in header[1:]]
# Parse data
for row in reader:
if not row:
continue
entry_name = row[0]
if entry_name.endswith("/"):
entry_name = entry_name[:-1]
# Strip file/dir name from values
row = row[1:]
values = archivematicaFunctions.OrderedListsDict(zip(header, row))
if entry_name in metadata and metadata[entry_name] != values:
job.pyprint(
"Metadata for",
entry_name,
"being overwritten. Old:",
metadata[entry_name],
"New:",
values,
file=sys.stderr,
)
metadata[entry_name] = values
return collections.OrderedDict(metadata) # Return a normal OrderedDict
def parseDmdSec(dmdSec, label='[Placeholder title]'):
"""
Parses a dmdSec into a dict with child tag names and their values
:param dmdSec: dmdSec elements
:param label: Default title if not provided. Required by CONTENTdm
:returns: Dict of {<child element tag>: [<value>, ...]
"""
# If the dmdSec object is empty (i.e, no DC metadata has been assigned
# in the dashboard, and there was no metadata.csv or other metadata file
# in the transfer), return a placeholder title.
if dmdSec is None:
return collections.OrderedDict([('title', [label])])
elementsDict = archivematicaFunctions.OrderedListsDict()
# If we are dealing with a DOM object representing the Dublin Core metadata,
# check to see if there is a title (required by CONTENTdm). If not, assign a
# placeholder title.
mdType = dmdSec.xpath('mets:mdWrap/@MDTYPE', namespaces=ns.NSMAP)
if mdType == 'DC':
dcTitlesDom = dmdSec.findall('.//dcterms:title', namespaces=ns.NSMAP)
if not dcTitlesDom:
elementsDict['title'] = label
# Iterate over all descendants and put in the return dict
# Key is the element's tag name, value is a list of the element's text
xmldata = dmdSec.find('.//mets:xmlData', namespaces=ns.NSMAP)
for element in xmldata.iterdescendants():
tagname = element.tag
# Strip namespace prefix
# TODO can tag names be unicode?
tagname = re.sub(r'{\S+}', '', tagname) # \S = non whitespace
if tagname in ('dublincore', ):
continue
elementsDict[
tagname] = element.text or '' # OrderedListsDict appends to lists as needed
return collections.OrderedDict(elementsDict)
