mwmbl/extract_process.py
2021-12-05 22:25:37 +00:00

137 lines
No EOL
4.6 KiB
Python

from io import BytesIO
import boto3
from justext import get_stoplist
from justext.core import LENGTH_LOW_DEFAULT, LENGTH_HIGH_DEFAULT, STOPWORDS_LOW_DEFAULT, STOPWORDS_HIGH_DEFAULT, \
MAX_LINK_DENSITY_DEFAULT, MAX_HEADING_DISTANCE_DEFAULT, NO_HEADINGS_DEFAULT, DEFAULT_ENCODING, DEFAULT_ENC_ERRORS, \
preprocessor, html_to_dom, ParagraphMaker, classify_paragraphs, revise_paragraph_classification
from langdetect import detect
from lxml.etree import ParserError
from warcio import ArchiveIterator
MAX_URI_LENGTH = 150
NUM_CHARS_TO_ANALYSE = 1000
NUM_TITLE_CHARS = 65
NUM_EXTRACT_CHARS = 155
def fetch_process_warc_records(rows):
"""Fetch all WARC records defined by filenames and offsets in rows,
parse the records and the contained HTML, split the text into words
and emit pairs <word, 1>"""
s3client = boto3.client('s3')
for row in rows:
warc_path = row['warc_filename']
offset = int(row['warc_record_offset'])
length = int(row['warc_record_length'])
rangereq = 'bytes={}-{}'.format(offset, (offset+length-1))
response = s3client.get_object(Bucket='commoncrawl',
Key=warc_path,
Range=rangereq)
record_stream = BytesIO(response["Body"].read())
for record in ArchiveIterator(record_stream):
for result in process_record(record):
yield result
def is_html(record):
"""Return true if (detected) MIME type of a record is HTML"""
html_types = ['text/html', 'application/xhtml+xml']
if (('WARC-Identified-Payload-Type' in record.rec_headers) and
(record.rec_headers['WARC-Identified-Payload-Type'] in
html_types)):
return True
content_type = record.http_headers.get_header('content-type', None)
if content_type:
for html_type in html_types:
if html_type in content_type:
return True
return False
def justext(html_text, stoplist, length_low=LENGTH_LOW_DEFAULT,
length_high=LENGTH_HIGH_DEFAULT, stopwords_low=STOPWORDS_LOW_DEFAULT,
stopwords_high=STOPWORDS_HIGH_DEFAULT, max_link_density=MAX_LINK_DENSITY_DEFAULT,
max_heading_distance=MAX_HEADING_DISTANCE_DEFAULT, no_headings=NO_HEADINGS_DEFAULT,
encoding=None, default_encoding=DEFAULT_ENCODING,
enc_errors=DEFAULT_ENC_ERRORS, preprocessor=preprocessor):
"""
Converts an HTML page into a list of classified paragraphs. Each paragraph
is represented as instance of class ˙˙justext.paragraph.Paragraph˙˙.
"""
dom = html_to_dom(html_text, default_encoding, encoding, enc_errors)
print("Parsed HTML")
try:
title = dom.find(".//title").text
except AttributeError:
title = None
preprocessed_dom = preprocessor(dom)
paragraphs = ParagraphMaker.make_paragraphs(preprocessed_dom)
print("Got paragraphs")
classify_paragraphs(paragraphs, stoplist, length_low, length_high,
stopwords_low, stopwords_high, max_link_density, no_headings)
revise_paragraph_classification(paragraphs, max_heading_distance)
return paragraphs, title
def process_record(record):
# print("Record", record.format, record.rec_type, record.rec_headers, record.raw_stream,
# record.http_headers, record.content_type, record.length)
if record.rec_type != 'response':
# skip over WARC request or metadata records
return
if not is_html(record):
return
uri = record.rec_headers.get_header('WARC-Target-URI')
if len(uri) > MAX_URI_LENGTH:
print("URI too long", len(uri))
return
# rating = get_domain_rating(uri)
# print("Rating", rating)
# if rating is None:
# return
content = record.content_stream().read().strip()
# print("Content", uri, content[:100])
if not content:
return
try:
all_paragraphs, full_title = justext(content, get_stoplist('English'))
except UnicodeDecodeError:
print("Unable to decode unicode")
return
except ParserError:
print("Unable to parse")
return
if full_title is None:
print("Missing title")
return
title = full_title[:NUM_TITLE_CHARS] + '' \
if len(full_title) > NUM_TITLE_CHARS else full_title
text = '\n'.join([p.text for p in all_paragraphs
if not p.is_boilerplate])[:NUM_CHARS_TO_ANALYSE]
print("Paragraphs", text)
if len(text) < NUM_EXTRACT_CHARS:
return
language = detect(text)
print("Got language", language)
if language != 'en':
return
extract = text[:NUM_EXTRACT_CHARS]
yield uri, title, extract