Delete bourbon_clean_up.py

main
Jean-Damien Genero 4 years ago
parent 12fea204ec
commit c4249c8032

@ -1,141 +0,0 @@
#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
Authors : Jean-Damien Généro, Bertrand Dumenieu
Affiliation : French National Center for Scientific Research (CNRS), École des hautes études en sciences sociales (EHESS)
Assigned at the Centre de recherches historiques (CRH, UMR 8558)
Date : 2021-12-31
Update : 2022-01-04
"""
import csv
import os
import re
from bs4 import BeautifulSoup
def beautiful_clean_up(path):
with open(path, 'r', encoding='utf-8') as opened:
reading = opened.read()
# acts
separator = r'<p rend=".+">\n +<seg rend="Aucun"><hi rend="sub">-\*<\/hi>-<\/seg>\n +<\/p>'
reading = re.sub(separator, '</div><div>', reading)
reading = reading.replace('<figure>', '<div>')
reading = reading.replace('</figure>', '</div>')
soup = BeautifulSoup(reading, 'xml')
# titre
titleStmt = soup.titleStmt
title = soup.new_tag('title')
author = soup.new_tag('author')
title.string = 'Actes d\'Agnès de Bourgogne'
author.string = 'Jean-Damien Généro'
titleStmt.append(title)
titleStmt.append(author)
# publicationStmt
publicationStmt = soup.publicationStmt
date = soup.new_tag('date')
date['when'] = '2022'
date.string = '2022'
publisher = soup.new_tag('publisher')
publisher.string = 'Laboratoire de Médiévistique occidentale de Paris (UMR 8589), Centres de recherches historiques (UMR 8558)'
availability = soup.new_tag('availability')
licence = soup.new_tag('licence')
licence['source'] = 'https://github.com/etalab/licence-ouverte/blob/master/open-licence.md'
licence.string = 'Distributed under an Open License 2.0'
availability.append(licence)
publicationStmt.append(publisher)
publicationStmt.append(date)
publicationStmt.append(availability)
# sourceDesc
sourceDesc = soup.sourceDesc
sourceDesc_p = soup.new_tag('p')
sourceDesc_p.string = 'Les actes ci-dessous sont issus de plusieurs dépôts d\'archives.'
sourceDesc.append(sourceDesc_p)
# removing all empty tags
for empty_tag in soup.find_all():
if len(empty_tag.get_text(strip=True)) == 0:
empty_tag.extract()
# number
for match in soup.find_all('div'):
match['xml:id'] = 'agnes-' + match.p.string
match['n'] = match.p.string
# witness
for match in soup.findAll('seg'):
match.replaceWithChildren()
for match in soup.findAll('emph'):
match.replaceWithChildren()
for match in soup.findAll('name'):
match.replaceWithChildren()
for tag in soup.find_all('p'):
try:
tag['rend']
except KeyError:
continue
if tag['rend'] == 'Corps':
del tag['rend']
# for match in soup.find_all('p'):
# if re.search(r'([A-Z])\. [OC]', match.text):
# witness = soup.new_tag('witness')
# witness.contents = match.contents
# witness['n'] = re.search(r'([A-Z])\. +[OC]', match.text).group(1)
# match.replaceWith(witness)
result = str(soup)
result = result.replace('p rend="Corps ', 'p rend="')
result = result.replace(' ', ' ')
result = result.replace('\n', '')
with open("/home/genero/Bureau/Bourbon/agnes_actes-2.xml", 'w', encoding='utf-8') as writting:
writting.write(result)
newsoup = BeautifulSoup(result, 'xml')
body = newsoup.body
for div in body.find_all('div'):
#print("\n\n" + div['xml:id'])
filename = 'agnes_' + div['n'] + '.xml'
with open(os.path.join("./agnes_actes", filename), 'r', encoding='utf-8') as opening:
soup_act = BeautifulSoup(opening, 'xml')
soup_act.body.append(div)
with open(os.path.join("./agnes_actes", filename), 'w', encoding='utf-8') as writting:
writting.write(soup_act.prettify())
def teiheader_making(file, tei_canvas):
soup = BeautifulSoup(tei_canvas, 'xml')
p_sourceDesc = soup.new_tag('p')
with open(file, 'r', encoding='utf-8') as opening:
csvfile = csv.reader(opening, delimiter=";")
for line in csvfile:
filename = 'agnes_' + line[0] + ".xml"
soup.title.string = 'Acte {} d\'Agnès de Bourgogne ({})'.format(line[0], line[4])
p_sourceDesc.string = f"""Ce fichier contient l'acte n°{line[0]} d'Agnès de Bourgogne, {line[9]} ({line[2]}, {line[1]}) daté du {line[4]} à {line[5]}."""
soup.sourceDesc.append(p_sourceDesc)
with open(os.path.join("./agnes_actes", filename), 'w', encoding="utf-8") as writting:
writting.write(str(soup))
canvas = f"""<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0">
<teiHeader>
<fileDesc>
<titleStmt>
<title></title>
<author></author>
</titleStmt>
<publicationStmt>
<publisher>Laboratoire de Médiévistique occidentale de Paris (UMR 8589), Centre de recherches historiques (UMR 8558)</publisher>
<date when="2022">2022</date>
<availability><licence source="https://github.com/etalab/licence-ouverte/blob/master/open-licence.md">Distributed under an Open License 2.0</licence></availability>
</publicationStmt>
<sourceDesc>
</sourceDesc>
</fileDesc>
</teiHeader>
<text>
<body>
</body>
</text>
</TEI>"""
teiheader_making("./actes-ducs-bourbon/base-donnees-m2/agnes_actes.csv", canvas)
beautiful_clean_up("/home/genero/Bureau/Bourbon/agnes_actes-1.xml")
Loading…
Cancel
Save