mirror of https://github.com/qurator-spk/neat.git
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
200 lines
6.1 KiB
Python
200 lines
6.1 KiB
Python
import re
|
|
import click
|
|
import pandas as pd
|
|
from io import StringIO
|
|
import os
|
|
import xml.etree.ElementTree as ET
|
|
import requests
|
|
import unicodedata
|
|
import json
|
|
|
|
|
|
@click.command()
|
|
@click.argument('tsv-file', type=click.Path(exists=True), required=True, nargs=1)
|
|
@click.argument('url-file', type=click.Path(exists=False), required=True, nargs=1)
|
|
def extract_document_links(tsv_file, url_file):
|
|
|
|
parts = extract_doc_links(tsv_file)
|
|
|
|
urls = [part['url'] for part in parts]
|
|
|
|
urls = pd.DataFrame(urls, columns=['url'])
|
|
|
|
urls.to_csv(url_file, sep="\t", quoting=3, index=False)
|
|
|
|
|
|
@click.command()
|
|
@click.argument('tsv-file', type=click.Path(exists=True), required=True, nargs=1)
|
|
@click.argument('annotated-tsv-file', type=click.Path(exists=False), required=True, nargs=1)
|
|
def annotate_tsv(tsv_file, annotated_tsv_file):
|
|
|
|
parts = extract_doc_links(tsv_file)
|
|
|
|
annotated_parts = []
|
|
|
|
for part in parts:
|
|
|
|
part_data = StringIO(part['header'] + part['text'])
|
|
|
|
df = pd.read_csv(part_data, sep="\t", comment='#', quoting=3)
|
|
|
|
df['url_id'] = len(annotated_parts)
|
|
|
|
annotated_parts.append(df)
|
|
|
|
df = pd.concat(annotated_parts)
|
|
|
|
df.to_csv(annotated_tsv_file, sep="\t", quoting=3, index=False)
|
|
|
|
|
|
def extract_doc_links(tsv_file):
|
|
|
|
parts = []
|
|
|
|
header = None
|
|
|
|
with open(tsv_file, 'r') as f:
|
|
|
|
text = []
|
|
url = None
|
|
|
|
for line in f:
|
|
|
|
if header is None:
|
|
header = "\t".join(line.split()) + '\n'
|
|
continue
|
|
|
|
urls = [url for url in
|
|
re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line)]
|
|
|
|
if len(urls) > 0:
|
|
if url is not None:
|
|
parts.append({"url": url, 'header': header, 'text': "".join(text)})
|
|
text = []
|
|
|
|
url = urls[-1]
|
|
else:
|
|
if url is None:
|
|
continue
|
|
|
|
line = '\t'.join(line.split())
|
|
|
|
if line.count('\t') == 2:
|
|
|
|
line = "\t" + line
|
|
|
|
if line.count('\t') >= 3:
|
|
|
|
text.append(line + '\n')
|
|
|
|
continue
|
|
|
|
if line.startswith('#'):
|
|
continue
|
|
|
|
if len(line) == 0:
|
|
continue
|
|
|
|
print('Line error: |', line, '|Number of Tabs: ', line.count('\t'))
|
|
|
|
if url is not None:
|
|
parts.append({"url": url, 'header': header, 'text': "".join(text)})
|
|
|
|
return parts
|
|
|
|
|
|
def ner(tsv, ner_rest_endpoint):
|
|
|
|
resp = requests.post(url=ner_rest_endpoint, json={'text': " ".join(tsv.TOKEN.tolist())})
|
|
|
|
def iterate_ner_results(result_sentences):
|
|
|
|
for sen in result_sentences:
|
|
|
|
for token in sen:
|
|
|
|
yield unicodedata.normalize('NFC', token['word']), token['prediction'], False
|
|
|
|
yield '', '', True
|
|
|
|
result_sequence = iterate_ner_results(json.loads(resp.content))
|
|
|
|
tsv_result = []
|
|
for idx, row in tsv.iterrows():
|
|
|
|
row_token = unicodedata.normalize('NFC', row.TOKEN.replace(' ', ''))
|
|
|
|
ner_token_concat = ''
|
|
while row_token != ner_token_concat:
|
|
|
|
ner_token, ner_tag, sentence_break = next(result_sequence)
|
|
ner_token_concat += ner_token
|
|
|
|
try:
|
|
assert len(row_token) >= len(ner_token_concat)
|
|
except AssertionError:
|
|
import ipdb;ipdb.set_trace()
|
|
|
|
if sentence_break:
|
|
tsv_result.append((0, '', 'O', 'O', '-', row.url_id, row.left, row.right, row.top, row.bottom))
|
|
else:
|
|
tsv_result.append((0, ner_token, ner_tag, 'O', '-', row.url_id, row.left, row.right, row.top, row.bottom))
|
|
|
|
return pd.DataFrame(tsv_result, columns=['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'GND-ID', 'url_id',
|
|
'left', 'right', 'top', 'bottom'])
|
|
|
|
|
|
@click.command()
|
|
@click.argument('page-xml-file', type=click.Path(exists=True), required=True, nargs=1)
|
|
@click.argument('tsv-out-file', type=click.Path(), required=True, nargs=1)
|
|
@click.option('--image-url', type=str, default='http://empty')
|
|
@click.option('--ner-rest-endpoint', type=str, default=None,
|
|
help="REST endpoint of sbb_ner service. See https://github.com/qurator-spk/sbb_ner for details.")
|
|
@click.option('--noproxy', type=bool, default=False, help='disable proxy. default: enabled.')
|
|
def page2tsv(page_xml_file, tsv_out_file, image_url, ner_rest_endpoint, noproxy):
|
|
|
|
if noproxy:
|
|
os.environ['no_proxy'] = '*'
|
|
|
|
tree = ET.parse(page_xml_file)
|
|
xmlns = tree.getroot().tag.split('}')[0].strip('{')
|
|
|
|
urls = []
|
|
if os.path.exists(tsv_out_file):
|
|
parts = extract_doc_links(tsv_out_file)
|
|
|
|
urls = [part['url'] for part in parts]
|
|
else:
|
|
pd.DataFrame([], columns=['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'GND-ID', 'url_id', 'left', 'right', 'top',
|
|
'bottom']). to_csv(tsv_out_file, sep="\t", quoting=3, index=False)
|
|
|
|
tsv = []
|
|
for words in tree.findall('.//{%s}Word' % xmlns):
|
|
for word in words.findall('.//{%s}Unicode' % xmlns):
|
|
text = word.text
|
|
for coords in words.findall('.//{%s}Coords' % xmlns):
|
|
|
|
points = [int(pos) for p in coords.attrib['points'].split(' ') for pos in p.split(',')]
|
|
|
|
x_points = [points[i] for i in range(0, len(points), 2)]
|
|
y_points = [points[i] for i in range(1, len(points), 2)]
|
|
|
|
left = min(x_points)
|
|
right = max(x_points)
|
|
top = min(y_points)
|
|
bottom = max(y_points)
|
|
|
|
tsv.append((0, text, 'O', 'O', '-', len(urls), left, right, top, bottom))
|
|
|
|
with open(tsv_out_file, 'a') as f:
|
|
|
|
f.write('# ' + image_url + '\n')
|
|
|
|
tsv = pd.DataFrame(tsv, columns=['No.', 'TOKEN', 'NE-TAG', 'NE-EMB', 'GND-ID',
|
|
'url_id', 'left', 'right', 'top', 'bottom'])
|
|
|
|
if ner_rest_endpoint is not None:
|
|
tsv = ner(tsv, ner_rest_endpoint)
|
|
|
|
tsv.to_csv(tsv_out_file, sep="\t", quoting=3, index=False, mode='a', header=False)
|