import argparse import json import logging import os import pickle import shutil import time import conllu import classla import copy from lxml import etree from src.annotate.annotate import annotate from src.create_tei import construct_sentence_from_list, \ construct_paragraph_from_list, TeiDocument, build_tei_etrees, build_links, build_complete_tei, convert_bibl from src.read.read_and_merge import tokenize from src.write.write import write_tei logging.basicConfig(level=logging.INFO) def add_edges(source_id, target_id, svala_data, edges, source_token_id, target_token_id): edge_id = "e-" + source_id + "-" + target_id labels = svala_data['edges'][edge_id]['labels'] edges.append({'source_ids': [source_token_id], 'target_ids': [target_token_id], 'labels': labels}) def add_token(svala_i, source_i, target_i, el, source, target, edges, svala_data, sentence_string_id): source_id = "s" + svala_i target_id = "t" + svala_i edge_id = "e-" + source_id + "-" + target_id labels = svala_data['edges'][edge_id]['labels'] sentence_string_id_split = sentence_string_id.split('.') source_token_id = f'{sentence_string_id_split[0]}s.{".".join(sentence_string_id_split[1:])}.{source_i}' target_token_id = f'{sentence_string_id_split[0]}t.{".".join(sentence_string_id_split[1:])}.{target_i}' token_tag = 'w' if el.tag.startswith('w') else 'pc' lemma = el.attrib['lemma'] if token_tag == 'w' else el.text source.append({'token': el.text, 'tag': token_tag, 'ana': el.attrib['ana'], 'lemma': lemma, 'id': source_token_id, 'space_after': False, 'svala_id': source_id}) target.append({'token': el.text, 'tag': token_tag, 'ana': el.attrib['ana'], 'lemma': lemma, 'id': target_token_id, 'space_after': False, 'svala_id': target_id}) edges.append({'source_ids': [source_token_id], 'target_ids': [target_token_id], 'labels': labels}) def add_errors(i, error, source, target, edges): source_edge_ids = [] target_edge_ids = [] podtip = error.attrib['podtip'] if 'podtip' in error.attrib else '' label = error.attrib['tip'] + '/' + podtip + '/' + error.attrib['kat'] labels = [label] word_combination_L1 = '' word_combination_L2 = None word_combination_L3 = None word_combination_L4 = None word_combination_L5 = None label_L2 = '' label_L3 = '' label_L4 = '' label_L5 = '' has_error = False # solar5.7 for el in error: if el.tag.startswith('w') or el.tag.startswith('pc'): ind = str(i) source_id = "s" + ind source.append({"id": source_id, "text": el.text + " "}) source_edge_ids.append(source_id) i += 1 elif el.tag.startswith('p'): for p_el in el: if p_el.tag.startswith('w') or p_el.tag.startswith('pc'): ind = str(i) target_id = "t" + ind target.append({"id": target_id, "text": p_el.text + " "}) target_edge_ids.append(target_id) word_combination_L1 += p_el.text + " " i += 1 elif el.tag.startswith('u2'): word_combination_L2 = '' podtip = el.attrib['podtip'] if 'podtip' in el.attrib else '' label_L2 = el.attrib['tip'] + '/' + podtip + '/' + el.attrib['kat'] for el_l2 in el: if el_l2.tag.startswith('w') or el_l2.tag.startswith('pc'): ind = str(i) source_id = "s" + ind source.append({"id": source_id, "text": el_l2.text + " "}) source_edge_ids.append(source_id) i += 1 elif el_l2.tag.startswith('p'): for p_el_l2 in el_l2: if p_el_l2.tag.startswith('w') or p_el_l2.tag.startswith('pc'): word_combination_L2 += p_el_l2.text + " " elif el_l2.tag.startswith('u3'): word_combination_L3 = '' podtip = el_l2.attrib['podtip'] if 'podtip' in el_l2.attrib else '' label_L3 = el_l2.attrib['tip'] + '/' + podtip + '/' + el_l2.attrib['kat'] for el_l3 in el_l2: if el_l3.tag.startswith('w') or el_l3.tag.startswith('pc'): ind = str(i) source_id = "s" + ind source.append({"id": source_id, "text": el_l3.text + " "}) source_edge_ids.append(source_id) i += 1 elif el_l3.tag.startswith('p'): for p_el_l3 in el_l3: if p_el_l3.tag.startswith('w') or p_el_l3.tag.startswith('pc'): word_combination_L3 += p_el_l3.text + " " elif el_l3.tag.startswith('u4'): word_combination_L4 = '' podtip = el_l3.attrib['podtip'] if 'podtip' in el_l3.attrib else '' label_L4 = el_l3.attrib['tip'] + '/' + podtip + '/' + el_l3.attrib['kat'] for el_l4 in el_l3: if el_l4.tag.startswith('w') or el_l4.tag.startswith('pc'): ind = str(i) source_id = "s" + ind source.append({"id": source_id, "text": el_l4.text + " "}) source_edge_ids.append(source_id) i += 1 elif el_l4.tag.startswith('p'): for p_el_l4 in el_l4: if p_el_l4.tag.startswith('w') or p_el_l4.tag.startswith('pc'): word_combination_L4 += p_el_l4.text + " " elif el_l4.tag.startswith('u5'): word_combination_L5 = '' podtip = el_l4.attrib['podtip'] if 'podtip' in el_l4.attrib else '' label_L5 = el_l4.attrib['tip'] + '/' + podtip + '/' + el_l4.attrib['kat'] for el_l5 in el_l4: if el_l5.tag.startswith('w') or el_l5.tag.startswith('pc'): ind = str(i) source_id = "s" + ind source.append({"id": source_id, "text": el_l5.text + " "}) source_edge_ids.append(source_id) i += 1 elif el_l5.tag.startswith('p'): for p_el_l5 in el_l5: if p_el_l5.tag.startswith('w') or p_el_l5.tag.startswith('pc'): word_combination_L5 += p_el_l5.text + " " # TODO NOT SURE IF THIS SHOULD BE COMMENTED! IF IT IS NOT THERE ARE ERRORS ON 2ND lvl of errors, where some words are duplicated # for p_el in el: # if p_el.tag.startswith('w') or p_el.tag.startswith('pc'): # ind = str(i) # # target_id = "t" + ind # target.append({"id": target_id, "text": p_el.text + " "}) # target_edge_ids.append(target_id) # i += 1 if word_combination_L1 == word_combination_L2 and word_combination_L2 is not None: if label_L2 not in labels: labels.append(label_L2) else: print(f"REPEATING LABEL - {label_L2} in {error.attrib['{http://www.w3.org/XML/1998/namespace}id']} - ID {i}") if word_combination_L1 == word_combination_L3 and word_combination_L3 is not None: if label_L3 not in labels: labels.append(label_L3) else: print(f"REPEATING LABEL - {label_L3} in {error.attrib['{http://www.w3.org/XML/1998/namespace}id']} - ID {i}") if word_combination_L1 == word_combination_L4 and word_combination_L4 is not None: if label_L4 not in labels: labels.append(label_L4) else: print(f"REPEATING LABEL - {label_L4} in {error.attrib['{http://www.w3.org/XML/1998/namespace}id']} - ID {i}") if word_combination_L1 == word_combination_L5 and word_combination_L5 is not None: if label_L5 not in labels: labels.append(label_L5) else: print(f"REPEATING LABEL - {label_L5} in {error.attrib['{http://www.w3.org/XML/1998/namespace}id']} - ID {i}") elif word_combination_L5 is not None: has_error = True elif word_combination_L4 is not None: has_error = True elif word_combination_L3 is not None: has_error = True elif word_combination_L2 is not None: has_error = True edge_ids = sorted(source_edge_ids) + sorted(target_edge_ids) edge_id = "e-" + "-".join(edge_ids) edges[edge_id] = {"id": edge_id, "ids": edge_ids, "labels": labels, "manual": True} return i, has_error def map_svala_solar2(svala_data_part, solar2_paragraph): svala_data_i = 0 for sentence in solar2_paragraph: sentence_id = 0 for tok in sentence: # if svala_data_part[svala_data_i]['text'].strip() != tok['token']: # if tok['text'] == '§' and svala_data_part[svala_data_i]['token'].strip() == '§§§': # wierd_sign_count += 1 # if wierd_sign_count < 3: # continue # else: # tok['text'] = '§§§' # wierd_sign_count = 0 # else: # raise 'Word mismatch!' assert svala_data_part[svala_data_i]['text'].strip() == tok['token'] sentence_id += 1 tok['svala_id'] = svala_data_part[svala_data_i]['id'] svala_data_i += 1 def process_file(args): if os.path.exists(args.results_folder): shutil.rmtree(args.results_folder) os.mkdir(args.results_folder) # READ AND MERGE svala tokenization, solar2 tokenization and obeliks tokenization tokenized_source_divs, tokenized_target_divs, document_edges = tokenize(args) # ANNOTATE WITH CLASSLA annotated_source_divs, annotated_target_divs = annotate(tokenized_source_divs, tokenized_target_divs, args) # GENERATE TEI AND WRITE OUTPUT write_tei(annotated_source_divs, annotated_target_divs, document_edges, args) def main(args): process_file(args) if __name__ == '__main__': parser = argparse.ArgumentParser( description='Read already processed xmls, erase entries without examples and limit gigafida examples to 1 per entry.') parser.add_argument('--svala_folder', default='data/KOST/svala', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--results_folder', default='data/results/solar3.0', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--raw_text', default='data/KOST/raw', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--tokenization_interprocessing', default='data/processing.tokenization', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--overwrite_tokenization', action='store_true', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--annotation_interprocessing', default='data/processing.annotation', help='input file in (gz or xml currently). If none, then just database is loaded') parser.add_argument('--overwrite_annotation', action='store_true', help='input file in (gz or xml currently). If none, then just database is loaded') args = parser.parse_args() start = time.time() main(args) logging.info("TIME: {}".format(time.time() - start))