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August 29, 2015 14:24
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Insert normalized dates from an OpenRefine exported CSV into EADs
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# import what we need | |
import csv | |
from lxml import etree | |
from os.path import join | |
path = 'path/to/eads' # Enter the path to your EAD directory here | |
normalized_file = 'path/to/exported_csv.csv' # Enter the path to the exported CSV here | |
with open(normalized_file, 'rb') as csvfile: | |
reader = csv.reader(csvfile) | |
next(reader, None) # Skip the header row | |
for row in reader: # Loop through the rows in the csv | |
filename = row[0] | |
date_path = row[1] | |
# uncomment the line below if you also cleaned up the date expression | |
#expression = row[3] | |
normalized = row[4] | |
ead = open(join(path, filename)) # Open the EAD | |
tree = etree.parse(ead) | |
date = tree.xpath(date_path) | |
# uncomment the line below if you also cleaned up the date expression | |
#date[0].text = expression | |
date[0].attrib['normal'] = normalized # Add a normal attribute with the normalized date | |
outfile = open(join(path, filename), 'w') | |
outfile.write(etree.tostring(tree, encoding="utf-8", xml_declaration=True)) # Rewrite the EAD to save the normalization | |
outfile.close() | |
print "Normalization complete" # Woo! |
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