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210 lines
9.4 KiB
210 lines
9.4 KiB
import copy
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import csv
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import json
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import os
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from lxml import etree
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import conllu
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from src.create_tei import construct_sentence_from_list, \
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construct_paragraph_from_list, TeiDocument, build_tei_etrees, build_links, build_complete_tei, convert_bibl
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def form_paragraphs(annotated_source_divs, metadata):
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etree_source_divs = []
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for div_i, div_tuple in enumerate(annotated_source_divs):
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div_name, div = div_tuple
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if div_name[:-1] not in metadata:
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print(div_name[:-1])
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continue
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div_metadata = metadata[div_name[:-1]]
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etree_source_paragraphs = []
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for par_i, paragraph_tuple in enumerate(div):
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par_name, paragraph = paragraph_tuple
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etree_source_sentences = []
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for sentence_id, sentence in enumerate(paragraph):
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if len(sentence) > 0:
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conllu_parsed = conllu.parse(sentence)[0]
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etree_source_sentences.append(
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construct_sentence_from_list(str(sentence_id + 1), conllu_parsed, True))
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etree_source_paragraphs.append(construct_paragraph_from_list(div_name, par_name, etree_source_sentences))
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etree_source_divs.append((etree_source_paragraphs, div_name, div_metadata))
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return etree_source_divs, div_name
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def read_metadata(args):
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texts_metadata = []
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with open(args.texts_metadata, 'r') as file:
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csvreader = csv.reader(file, delimiter='|', quotechar='"')
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column_names = []
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for i, row in enumerate(csvreader):
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if i == 0:
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column_names = row
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continue
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else:
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row_dict = {}
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for j, content in enumerate(row):
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row_dict[column_names[j]] = content.strip()
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texts_metadata.append(row_dict)
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# handle teachers
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teachers_metadata = {}
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with open(args.teachers_metadata, 'r') as file:
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csvreader = csv.reader(file, delimiter='\t', quotechar='"')
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column_names = []
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for i, row in enumerate(csvreader):
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if i == 0:
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column_names = row
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continue
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else:
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row_dict = {}
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for j, content in enumerate(row):
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row_dict[column_names[j]] = content
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row_dict['Ime in priimek'] = row_dict['Ime in priimek'].strip()
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teachers_metadata[row_dict['Ime in priimek']] = row_dict
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# handle authors
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authors_metadata = {}
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with open(args.authors_metadata, 'r') as file:
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csvreader = csv.reader(file, delimiter='|', quotechar='"')
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column_names = []
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for i, row in enumerate(csvreader):
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if i == 0:
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column_names = row
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continue
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elif i == 1:
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active_column_name = ''
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for j, sub_name in enumerate(row):
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if column_names[j]:
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active_column_name = column_names[j]
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if sub_name:
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column_names[j] = f'{active_column_name} - {sub_name}'
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continue
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elif i == 2:
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continue
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else:
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row_dict = {}
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for j, content in enumerate(row):
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row_dict[column_names[j]] = content.strip()
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row_dict['Ime in priimek'] = row_dict['Ime in priimek'].strip()
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authors_metadata[row_dict['Ime in priimek']] = row_dict
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translations = {}
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with open(args.translations, 'r') as file:
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csvreader = csv.reader(file, delimiter='\t', quotechar='"')
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for row in csvreader:
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translations[row[0]] = row[1]
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return texts_metadata, authors_metadata, teachers_metadata, translations
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def process_metadata(args):
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texts_metadata, authors_metadata, teachers_metadata, translations = read_metadata(args)
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metadata = {}
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for document_metadata in texts_metadata:
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document_metadata['Tvorec'] = document_metadata['Tvorec'].strip()
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if document_metadata['Tvorec'] not in authors_metadata:
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if document_metadata['Tvorec']:
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print(document_metadata['Tvorec'])
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continue
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author_metadata = authors_metadata[document_metadata['Tvorec']]
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metadata_el = {}
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for attribute_name_sl, attribute_name_en in translations.items():
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if attribute_name_sl in document_metadata:
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if attribute_name_sl == 'Ocena':
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grade = f'{document_metadata[attribute_name_sl]} od {document_metadata["Najvišja možna ocena"]}' if document_metadata[attribute_name_sl] and document_metadata["Najvišja možna ocena"] else ''
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metadata_el[attribute_name_en] = grade
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elif attribute_name_sl == 'Tvorec':
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metadata_el[attribute_name_en] = author_metadata['Koda tvorca']
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elif attribute_name_sl == 'Učitelj':
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metadata_el[attribute_name_en] = teachers_metadata[document_metadata['Učitelj']]['Koda'] if document_metadata['Učitelj'] in teachers_metadata else None
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else:
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metadata_el[attribute_name_en] = document_metadata[attribute_name_sl]
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elif attribute_name_sl in author_metadata:
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metadata_el[attribute_name_en] = author_metadata[attribute_name_sl]
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elif attribute_name_sl == 'Ime šole, Fakulteta':
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curr_school = []
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if author_metadata["Trenutno šolanje - Ime šole"]:
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curr_school.append(author_metadata["Trenutno šolanje - Ime šole"])
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if author_metadata["Trenutno šolanje - Fakulteta"]:
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curr_school.append(author_metadata["Trenutno šolanje - Fakulteta"])
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metadata_el['Current school'] = ', '.join(curr_school)
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elif attribute_name_sl == 'Stopnja študija':
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metadata_el[attribute_name_en] = author_metadata['Trenutno šolanje - Stopnja študija']
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elif attribute_name_sl == 'Leto študija':
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metadata_el[attribute_name_en] = author_metadata['Trenutno šolanje - Leto študija']
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elif attribute_name_sl == 'Ostali jeziki':
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metadata_el[attribute_name_en] = ','.join([k[16:] for k, v in author_metadata.items() if k[:13] == 'Ostali jeziki' and v == 'ja'])
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elif attribute_name_sl == 'Kje učenje':
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metadata_el[attribute_name_en] = author_metadata['Življenje v Sloveniji pred tem programom - Kje?']
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elif attribute_name_sl == 'Koliko časa učenje?':
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metadata_el[attribute_name_en] = author_metadata['Življenje v Sloveniji pred tem programom - Koliko časa?']
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elif attribute_name_sl == 'Učbeniki':
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metadata_el[attribute_name_en] = author_metadata['Učenje slovenščine pred tem programom - Učbeniki']
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elif attribute_name_sl == 'Kje?':
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metadata_el[attribute_name_en] = author_metadata['Učenje slovenščine pred L+ - Kje?']
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elif attribute_name_sl == 'Koliko časa?':
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metadata_el[attribute_name_en] = author_metadata['Učenje slovenščine pred L+ - Koliko čas?']
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else:
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raise Exception(f'{attribute_name_sl} not found!')
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metadata[metadata_el['Text ID']] = metadata_el
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return metadata
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def write_tei(annotated_source_divs, annotated_target_divs, document_edges, args):
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print('BUILDING LINKS...')
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etree_links = build_links(document_edges)
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with open(os.path.join(args.results_folder, f"links.xml"), 'w') as tf:
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tf.write(etree.tostring(etree_links, pretty_print=True, encoding='utf-8').decode())
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with open(os.path.join(args.results_folder, f"links.json"), 'w') as jf:
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json.dump(document_edges, jf, ensure_ascii=False, indent=" ")
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print('WRITTING TEI...')
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etree_source_documents = []
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etree_target_documents = []
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print('PREPARING METADATA FOR BIBL...')
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metadata = process_metadata(args)
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print('WRITING SOURCE FILES...')
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etree_source_divs, source_div_name = form_paragraphs(annotated_source_divs, metadata)
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print('WRITING TARGET FILES...')
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etree_target_divs, target_div_name = form_paragraphs(annotated_target_divs, metadata)
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print('APPENDING DOCUMENT...')
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etree_source_documents.append(
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TeiDocument(source_div_name,
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etree_source_divs, etree_target_divs))
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etree_target_documents.append(
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TeiDocument(target_div_name,
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etree_target_divs, etree_source_divs))
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print('BUILDING TEI DOCUMENTS...')
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etree_source = build_tei_etrees(etree_source_documents)
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etree_target = build_tei_etrees(etree_target_documents)
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# print('Writting all but complete')
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# with open(os.path.join(args.results_folder, f"source.xml"), 'w') as sf:
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# sf.write(etree.tostring(etree_source[0], pretty_print=True, encoding='utf-8').decode())
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#
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# with open(os.path.join(args.results_folder, f"target.xml"), 'w') as tf:
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# tf.write(etree.tostring(etree_target[0], pretty_print=True, encoding='utf-8').decode())
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print('COMPLETE TREE CREATION...')
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# complete_etree = build_complete_tei(copy.deepcopy(etree_source), copy.deepcopy(etree_target), etree_links)
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complete_etree = build_complete_tei(etree_source, etree_target, etree_links)
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print('WRITING COMPLETE TREE')
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with open(os.path.join(args.results_folder, f"complete.xml"), 'w') as tf:
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tf.write(etree.tostring(complete_etree, pretty_print=True, encoding='utf-8').decode())
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