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from src.read.read import read_raw_text, map_svala_tokenized
from conllu import TokenList
def create_edges_list(target_ids, links_ids_mapper):
target_edges = []
target_edges_set = []
for target_sentence in target_ids:
target_sentence_edges = []
for target_id in target_sentence:
target_sentence_edges.extend(links_ids_mapper[target_id])
target_edges.append(target_sentence_edges)
target_edges_set.append(set(target_sentence_edges))
return target_edges, target_edges_set
SKIP_IDS = ['solar2284s.1.1.1']
def create_edges(raw_edges, source_par, target_par):
source_mapper = {el['svala_id']: el['id'] for source in source_par for el in source}
target_mapper = {el['svala_id']: el['id'] for target in target_par for el in target}
# actually add edges
edges = []
for _, edge in raw_edges.items():
labels = edge['labels']
source_ids = [source_mapper[el] for el in edge['ids'] if el in source_mapper]
target_ids = [target_mapper[el] for el in edge['ids'] if el in target_mapper]
edges.append({'source_ids': source_ids, 'target_ids': target_ids, 'labels': labels})
return edges
def update_ids(pretag, in_list):
for el in in_list:
el['id'] = f'{pretag}.{el["id"]}'
def create_conllu(interest_list, sentence_string_id):
conllu_result = TokenList([{"id": token_i + 1, "form": token['token'], "lemma": None, "upos": None, "xpos": None, "feats": None,
"head": None, "deprel": None, "deps": None, "misc": "SpaceAfter=No"} if not token['space_after']
else {"id": token_i + 1, "form": token['token'], "lemma": None, "upos": None, "xpos": None,
"feats": None, "head": None, "deprel": None, "deps": None, "misc": None} for token_i, token in
enumerate(interest_list)])
# Delete last SpaceAfter
misc = conllu_result[len(conllu_result) - 1]['misc'] if len(conllu_result) > 0 else None
if misc is not None:
misc_split = misc.split('|')
if misc is not None and misc == 'SpaceAfter=No':
conllu_result[len(conllu_result) - 1]['misc'] = None
elif misc is not None and 'SpaceAfter=No' in misc_split:
conllu_result[len(conllu_result) - 1]['misc'] = '|'.join([el for el in misc_split if el != 'SpaceAfter=No'])
conllu_result.metadata = {"sent_id": sentence_string_id}
return conllu_result.serialize()
def add_error_token_source_target_only(el, out_list, sentence_string_id, out_list_i, is_source, s_t_id):
sentence_string_id_split = sentence_string_id.split('.')
source_token_id = f'{sentence_string_id_split[0]}s.{".".join(sentence_string_id_split[1:])}.{out_list_i}' if is_source \
else f'{sentence_string_id_split[0]}t.{".".join(sentence_string_id_split[1:])}.{out_list_i}'
token_tag = 'w' if el.tag.startswith('w') else 'pc'
out_list.append({'token': el.text, 'tag': token_tag, 'ana': el.attrib['ana'], 'id': source_token_id, 'space_after': False, 'svala_id': s_t_id})
def add_errors_source_target_only(svala_i, source_i, target_i, error, source, target, svala_data, sentence_string_id):
# solar5.7
for el in error:
if el.tag.startswith('w') or el.tag.startswith('pc'):
ind = str(svala_i)
source_id = "s" + ind
add_error_token_source_target_only(el, source, sentence_string_id, source_i, True, source_id)
source_i += 1
svala_i += 1
elif el.tag.startswith('c') and len(source) > 0:
source[-1]['space_after'] = True
elif el.tag.startswith('p'):
for p_el in el:
if p_el.tag.startswith('w') or p_el.tag.startswith('pc'):
ind = str(svala_i)
target_id = "t" + ind
add_error_token_source_target_only(p_el, target, sentence_string_id, target_i, False, target_id)
target_i += 1
svala_i += 1
elif p_el.tag.startswith('c') and len(target) > 0:
target[-1]['space_after'] = True
elif el.tag.startswith('u2'):
for el_l2 in el:
if el_l2.tag.startswith('w') or el_l2.tag.startswith('pc'):
ind = str(svala_i)
source_id = "s" + ind
add_error_token_source_target_only(el_l2, source, sentence_string_id, source_i, True, source_id)
source_i += 1
svala_i += 1
elif el_l2.tag.startswith('c') and len(source) > 0:
source[-1]['space_after'] = True
elif el_l2.tag.startswith('u3'):
for el_l3 in el_l2:
if el_l3.tag.startswith('w') or el_l3.tag.startswith('pc'):
ind = str(svala_i)
source_id = "s" + ind
add_error_token_source_target_only(el_l3, source, sentence_string_id, source_i, True, source_id)
source_i += 1
svala_i += 1
elif el_l3.tag.startswith('c') and len(source) > 0:
source[-1]['space_after'] = True
elif el_l3.tag.startswith('u4'):
for el_l4 in el_l3:
if el_l4.tag.startswith('w') or el_l4.tag.startswith('pc'):
ind = str(svala_i)
source_id = "s" + ind
add_error_token_source_target_only(el_l4, source, sentence_string_id, source_i, True, source_id)
source_i += 1
svala_i += 1
elif el_l4.tag.startswith('c') and len(source) > 0:
source[-1]['space_after'] = True
elif el_l4.tag.startswith('u5'):
for el_l5 in el_l4:
if el_l5.tag.startswith('w') or el_l5.tag.startswith('pc'):
ind = str(svala_i)
source_id = "s" + ind
add_error_token_source_target_only(el_l5, source, sentence_string_id, source_i, True, source_id)
source_i += 1
svala_i += 1
elif el_l5.tag.startswith('c') and len(source) > 0:
source[-1]['space_after'] = True
for p_el in el:
if p_el.tag.startswith('w') or p_el.tag.startswith('pc'):
ind = str(svala_i)
target_id = "t" + ind
add_error_token_source_target_only(p_el, target, sentence_string_id, target_i, False, target_id)
target_i += 1
svala_i += 1
elif p_el.tag.startswith('c') and len(target) > 0:
target[-1]['space_after'] = True
return svala_i, source_i, target_i
def add_source(svala_i, source_i, sentence_string_id_split, source, el):
source_id = "s" + svala_i
source_token_id = f'{sentence_string_id_split[0]}s.{".".join(sentence_string_id_split[1:])}.{source_i}'
token_tag = 'w' if el.tag.startswith('w') else 'pc'
source.append({'token': el.text, 'tag': token_tag, 'ana': el.attrib['ana'], 'id': source_token_id,
'space_after': False, 'svala_id': source_id})
def add_target(svala_i, target_i, sentence_string_id_split, target, el):
target_id = "t" + svala_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'
target.append({'token': el.text, 'tag': token_tag, 'ana': el.attrib['ana'], 'id': target_token_id,
'space_after': False, 'svala_id': target_id})
def merge(sentences, paragraph, svala_i, svala_data, add_errors_func, source_raw_text, target_raw_text, nlp_tokenize):
if source_raw_text is not None:
text = read_raw_text(source_raw_text)
raw_text, source_tokenized, metadocument = nlp_tokenize.processors['tokenize']._tokenizer.tokenize(text) if text else ([], [], [])
source_res = map_svala_tokenized(svala_data['source'], source_tokenized)
if target_raw_text is not None:
text = read_raw_text(target_raw_text)
raw_text, target_tokenized, metadocument = nlp_tokenize.processors['tokenize']._tokenizer.tokenize(text) if text else ([], [], [])
target_res = map_svala_tokenized(svala_data['target'], target_tokenized)
par_source = []
par_target = []
sentences_len = len(sentences)
source_conllus = []
target_conllus = []
if source_raw_text is not None:
sentences_len = max(sentences_len, len(source_res))
if target_raw_text is not None:
sentences_len = max(sentences_len, len(target_res))
for sentence_id in range(sentences_len):
source = []
target = []
sentence_id += 1
source_i = 1
target_i = 1
sentence_string_id = paragraph.attrib['{http://www.w3.org/XML/1998/namespace}id'] + f'.{sentence_id}'
sentence_string_id_split = sentence_string_id.split('.')
if sentence_id - 1 < len(sentences):
sentence = sentences[sentence_id - 1]
for el in sentence:
if el.tag.startswith('w'):
if source_raw_text is None:
add_source(str(svala_i), source_i, sentence_string_id_split, source, el)
if target_raw_text is None:
add_target(str(svala_i), target_i, sentence_string_id_split, target, el)
svala_i += 1
source_i += 1
target_i += 1
elif el.tag.startswith('pc'):
if source_raw_text is None:
add_source(str(svala_i), source_i, sentence_string_id_split, source, el)
if target_raw_text is None:
add_target(str(svala_i), target_i, sentence_string_id_split, target, el)
svala_i += 1
source_i += 1
target_i += 1
elif el.tag.startswith('u'):
if source_raw_text is None or target_raw_text is None:
svala_i, source_i, target_i = add_errors_source_target_only(svala_i, source_i, target_i, el, source, target, svala_data, sentence_string_id)
else:
svala_i, source_i, target_i = add_errors_func(svala_i, source_i, target_i, el, source, target,
svala_data, sentence_string_id)
elif el.tag.startswith('c'):
if len(source) > 0:
source[-1]['space_after'] = True
if len(target) > 0:
target[-1]['space_after'] = True
if source_raw_text is not None and sentence_id - 1 < len(source_res):
source = source_res[sentence_id - 1]
update_ids(f'{sentence_string_id_split[0]}s.{".".join(sentence_string_id_split[1:])}', source)
par_source.append(source)
source_conllu = ''
if len(source) > 0:
source_conllu = create_conllu(source, sentence_string_id)
if target_raw_text is not None and sentence_id - 1 < len(target_res):
target = target_res[sentence_id - 1]
update_ids(f'{sentence_string_id_split[0]}t.{".".join(sentence_string_id_split[1:])}', target)
par_target.append(target)
if source_raw_text is None:
par_source.append(source)
if target_raw_text is None:
par_target.append(target)
target_conllu = ''
if len(target) > 0:
target_conllu = create_conllu(target, sentence_string_id)
if source_raw_text is None or len(source_conllus) < len(par_source):
source_conllus.append(source_conllu)
if target_raw_text is None or len(target_conllus) < len(par_target):
target_conllus.append(target_conllu)
sentence_edges = create_edges(svala_data, par_source, par_target)
return sentence_edges, source_conllus, target_conllus