I am parsing large projects with many thousand XML files for specific Elements and Attributes. I have managed to print all the Elements and Attributes I want but I cannot write them into a CSV Table. It would be great if I could get every occurrence of every Element/Attribute under the respective headers. The Problem is that I get "NameError: name 'X' is not defined", I do not know how to restructure, everything seemed to be working fine with my variables until I moved them to a CSV.
from logging import root
import xml.etree.ElementTree as ET
import csv
import os
path = r'C:\Users\briefe\V'
f = open('jp-elements.csv', 'w', encoding="utf-8")
writer = csv.writer(f)
writer.writerow(["Note", "Supplied", "@Certainty", "@Source"])
#opening files in folder for project
for filename in os.listdir(path):
if filename.endswith(".xml"):
fullpath = os.path.join(path, filename)
#getting the root of each file as my starting point
for file in fullpath:
tree = ET.parse(fullpath)
root = tree.getroot()
try:
for note in root.findall('.//note'):
notes = note.attrib, note.text
for supplied in root.findall(".//supplied"):
print(supplied.attrib)
for suppliedChild in supplied.findall(".//*"):
supplies = suppliedChild.tag, suppliedChild.attrib
#attribute search
for responsibility in root.findall(".//*[@resp]"):
responsibilities = responsibility.tag, responsibility.attrib, responsibility.text
for certainty in root.findall(".//*[@cert]"):
certainties = certainty.tag, certainty.attrib, certainty.text
writer.writerow([notes, supplies, responsibilities, certainties])
finally:
f.close()
As was kindly advised I am trying to save results that looked like:
{http://www.tei-c.org/ns/1.0}add {'resp': '#MB', 'status': 'unremarkable'} Nach H gedruckt IV. Abt., V, Anhang Nr.
10.
{http://www.tei-c.org/ns/1.0}date {'cert': 'medium', 'when': '1805-04-09'} 9. April 1805
I am trying to save these mixtures of tuples and dictionary items as strings into csv fields. But I get "NameError: name 'notes' is not defined" for example.
XML code example:
<?xml version="1.0" encoding="UTF-8"?><TEI xmlns="http://www.tei-c.org/ns/1.0" type="letter" xml:id="V_100">
<teiHeader>
</teiHeader>
<text>
<body>
<div type="letter">
<note type="ig">Kopie</note>
<p>Erlauben Sie mir, in Ihre Ehrenpforte noch einige Zwick<lb xml:id="V_39-7" rendition="#hyphen"/>steinchen einzuschieben. Philemon und Baucis müssen —
wenn<note corresp="#V_39-8">
<listPerson type="lineReference">
<person corresp="#JP-000228">
<persName>
<name cert="high" type="reg">Baucis</name>
</persName>
</person>
<person corresp="#JP-003214" ana="†">
<persName>
<name cert="low" type="reg">Philemon</name>
</persName>
</person>
</listPerson>
<p>
<hi rendition="#aq">Der Brief ist vielleicht nicht an den Minister Hardenberg
gerichtet,<lb/>
</p>
<lb/>
</div>
</body>
</text>
</TEI>
CodePudding user response:
As posted, the XML has a default namespace at root which must be accounted for every named reference of an element such as <note>
. Therefore, consider this adjustment where notes
will be properly assigned.
nsmp = "http://www.tei-c.org/ns/1.0"
for note in root.findall(f'.//{{{nsmp}}}note'):
notes = note.attrib, note.text
The triple curly brace is to ensure the interpolated string value is enclosed in curly braces which is also the symbol used in F strings. Do note, your code will then also err for supplies
not being found.
However, given your comments, consider a dynamic solution which does not hard code any element name but parses all elements and attributes and flattens the output to CSV format. Below uses nested list/dict comprehensions to parse XML data and migrates to CSV using csv.DictWriter
which maps dictionaries to field names of a CSV. Also, below uses context manager, with()
, to write to text and requires no close()
command.
with open('Output.csv', 'w', newline='') as f:
writer = csv.DictWriter(
f, fieldnames=['element_or_attribute', 'text_or_value']
)
# MERGES DICTIONARIES OF ELEMENTS AND ATTRIBUTES
# DICT KEYS REMOVE NAMESPACES AND CHECKS FOR NoneTypes
# ATTRIBUTES ARE PREFIXED WITH PARENT ELEMENT NAME
xml_dicts = [{
**{el.tag.split('}')[1]:(
el.text.strip() if el.text is not None else el.text
)},
**{(
el.tag.split('}')[1] '_' k.split('}')[1]
if '}' in k
else el.tag.split('}')[1] '_' k):v
for k,v in el.attrib.items()}
} for i, el in enumerate(root.findall(f'.//*'), start=1)]
# COMBINES ABOVE DICTS INTO FLATTER FORMAT
csv_dicts = [
{'element_or_attribute': k, 'text_or_value':v}
for d in xml_dicts
for k, v in d.items()
]
writer.writeheader()
writer.writerows(csv_dicts)
Above should be integrated into your loop of files where this processes one XML file to one CSV.
CSV Output
element_or_attribute | text_or_value |
---|---|
teiHeader | |
text | |
body | |
div | |
div_type | letter |
note | Kopie |
note_type | ig |
p | "Erlauben Sie mir, in Ihre Ehrenpforte noch einige Zwick" |
lb | |
lb_id | V_39-7 |
lb_rendition | #hyphen |
note | |
note_corresp | #V_39-8 |
listPerson | |
listPerson_type | lineReference |
person | |
person_corresp | #JP-000228 |
persName | |
name | Baucis |
name_cert | high |
name_type | reg |
person | |
person_corresp | #JP-003214 |
person_ana | † |
persName | |
name | Philemon |
name_cert | low |
name_type | reg |
p | |
hi | "Der Brief ist vielleicht nicht an den Minister Hardenberg\n gerichtet," |
hi_rendition | #aq |
lb | |
lb |
XML Input (corrected for reproducibility)
<?xml version="1.0" encoding="UTF-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" type="letter" xml:id="V_100">
<teiHeader></teiHeader>
<text>
<body>
<div type="letter">
<note type="ig">Kopie</note>
<p>Erlauben Sie mir, in Ihre Ehrenpforte noch einige Zwick<lb xml:id="V_39-7" rendition="#hyphen"/>steinchen einzuschieben. Philemon und Baucis müssen —
wenn<note corresp="#V_39-8"/>
<listPerson type="lineReference">
<person corresp="#JP-000228">
<persName>
<name cert="high" type="reg">Baucis</name>
</persName>
</person>
<person corresp="#JP-003214" ana="†">
<persName>
<name cert="low" type="reg">Philemon</name>
</persName>
</person>
</listPerson>
</p>
<p>
<hi rendition="#aq">Der Brief ist vielleicht nicht an den Minister Hardenberg
gerichtet,<lb/></hi>
</p>
<lb/>
</div>
</body>
</text>
</TEI>