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readability.py
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#!/usr/bin/env python
import logging
import re
import sys
import urllib.request
import urllib.parse
import urllib.error
from lxml.etree import tostring
from lxml.etree import tounicode
from lxml.etree import _ElementTree
from lxml.html import document_fromstring
from lxml.html import fragment_fromstring
from lxml.html import HtmlElement
from .cleaners import clean_attributes
from .cleaners import html_cleaner
from .htmls import build_doc
from .htmls import get_body
from .htmls import get_title
from .htmls import get_author
from .htmls import shorten_title
from .debug import describe, text_content
log = logging.getLogger("readability.readability")
REGEXES = {
"unlikelyCandidatesRe": re.compile(
r"combx|comment|community|disqus|extra|foot|header|menu|remark|rss|shoutbox|sidebar|sponsor|ad-break|agegate|pagination|pager|popup|tweet|twitter",
re.I,
),
"okMaybeItsACandidateRe": re.compile(r"and|article|body|column|main|shadow", re.I),
"positiveRe": re.compile(
r"article|body|content|entry|hentry|main|page|pagination|post|text|blog|story",
re.I,
),
"negativeRe": re.compile(
r"combx|comment|com-|contact|foot|footer|footnote|masthead|media|meta|outbrain|promo|related|scroll|shoutbox|sidebar|sponsor|shopping|tags|tool|widget",
re.I,
),
"divToPElementsRe": re.compile(
r"<(a|blockquote|dl|div|img|ol|p|pre|table|ul)", re.I
),
#'replaceBrsRe': re.compile(r'(<br[^>]*>[ \n\r\t]*){2,}',re.I),
#'replaceFontsRe': re.compile(r'<(\/?)font[^>]*>',re.I),
#'trimRe': re.compile(r'^\s+|\s+$/'),
#'normalizeRe': re.compile(r'\s{2,}/'),
#'killBreaksRe': re.compile(r'(<br\s*\/?>(\s| ?)*){1,}/'),
"videoRe": re.compile(r"https?:\/\/(www\.)?(youtube|vimeo)\.com", re.I),
# skipFootnoteLink: /^\s*(\[?[a-z0-9]{1,2}\]?|^|edit|citation needed)\s*$/i,
}
class Unparseable(ValueError):
pass
def to_int(x):
if not x:
return None
x = x.strip()
if x.endswith("px"):
return int(x[:-2])
if x.endswith("em"):
return int(x[:-2]) * 12
return int(x)
def clean(text):
# Many spaces make the following regexes run forever
text = re.sub(r"\s{255,}", " " * 255, text)
text = re.sub(r"\s*\n\s*", "\n", text)
text = re.sub(r"\t|[ \t]{2,}", " ", text)
return text.strip()
def text_length(i):
return len(clean(i.text_content() or ""))
def compile_pattern(elements):
if not elements:
return None
elif isinstance(elements, re.Pattern):
return elements
elif isinstance(elements, (str, bytes)):
if isinstance(elements, bytes):
elements = str(elements, "utf-8")
elements = elements.split(",")
if isinstance(elements, (list, tuple)):
return re.compile("|".join([re.escape(x.strip()) for x in elements]), re.U)
else:
raise Exception(f"Unknown type for the pattern: {type(elements)}")
# assume string or string like object
class Document:
"""Class to build a etree document out of html."""
def __init__(
self,
input,
positive_keywords=None,
negative_keywords=None,
url=None,
min_text_length=25,
retry_length=250,
xpath=False,
handle_failures="discard",
):
"""Generate the document
:param input: string of the html content.
:param positive_keywords: regex, list or comma-separated string of patterns in classes and ids
:param negative_keywords: regex, list or comma-separated string in classes and ids
:param min_text_length: Tunable. Set to a higher value for more precise detection of longer texts.
:param retry_length: Tunable. Set to a lower value for better detection of very small texts.
:param xpath: If set to True, adds x="..." attribute to each HTML node,
containing xpath path pointing to original document path (allows to
reconstruct selected summary in original document).
:param handle_failures: Parameter passed to `lxml` for handling failure during exception.
Support options = ["discard", "ignore", None]
Examples:
positive_keywords=["news-item", "block"]
positive_keywords=["news-item, block"]
positive_keywords=re.compile("news|block")
negative_keywords=["mysidebar", "related", "ads"]
The Document class is not re-enterable.
It is designed to create a new Document() for each HTML file to process it.
API methods:
.title() -- full title
.short_title() -- cleaned up title
.content() -- full content
.summary() -- cleaned up content
"""
self.input = input
self.html = None
self.encoding = None
self.positive_keywords = compile_pattern(positive_keywords)
self.negative_keywords = compile_pattern(negative_keywords)
self.url = url
self.min_text_length = min_text_length
self.retry_length = retry_length
self.xpath = xpath
self.handle_failures = handle_failures
def _html(self, force=False):
if force or self.html is None:
self.html = self._parse(self.input)
if self.xpath:
root = self.html.getroottree()
for i in self.html.getiterator():
# print root.getpath(i)
i.attrib["x"] = root.getpath(i)
return self.html
def _parse(self, input):
if isinstance(input, (_ElementTree, HtmlElement)):
doc = input
self.encoding = 'utf-8'
else:
doc, self.encoding = build_doc(input)
doc = html_cleaner.clean_html(doc)
base_href = self.url
if base_href:
# trying to guard against bad links like <a href="http://[http://...">
try:
# such support is added in lxml 3.3.0
doc.make_links_absolute(
base_href,
resolve_base_href=True,
handle_failures=self.handle_failures,
)
except TypeError: # make_links_absolute() got an unexpected keyword argument 'handle_failures'
# then we have lxml < 3.3.0
# please upgrade to lxml >= 3.3.0 if you're failing here!
doc.make_links_absolute(
base_href,
resolve_base_href=True,
handle_failures=self.handle_failures,
)
else:
doc.resolve_base_href(handle_failures=self.handle_failures)
return doc
def content(self):
"""Returns document body"""
return get_body(self._html(True))
def title(self):
"""Returns document title"""
return get_title(self._html(True))
def author(self):
"""Returns document author"""
return get_author(self._html(True))
def short_title(self):
"""Returns cleaned up document title"""
return shorten_title(self._html(True))
def get_clean_html(self):
"""
An internal method, which can be overridden in subclasses, for example,
to disable or to improve DOM-to-text conversion in .summary() method
"""
return clean_attributes(tounicode(self.html, method="html"))
def summary(self, html_partial=False, keep_all_images=False):
"""
Given a HTML file, extracts the text of the article.
:param html_partial: return only the div of the document, don't wrap
in html and body tags.
:param keep_all_images: Keep all images in summary.
Warning: It mutates internal DOM representation of the HTML document,
so it is better to call other API methods before this one.
"""
try:
ruthless = True
while True:
self._html(True)
for i in self.tags(self.html, "script", "style"):
i.drop_tree()
for i in self.tags(self.html, "body"):
i.set("id", "readabilityBody")
if ruthless:
self.remove_unlikely_candidates()
self.transform_misused_divs_into_paragraphs()
candidates = self.score_paragraphs()
best_candidate = self.select_best_candidate(candidates)
if best_candidate:
article = self.get_article(
candidates, best_candidate, html_partial=html_partial
)
else:
if ruthless:
log.info("ruthless removal did not work. ")
ruthless = False
log.debug(
"ended up stripping too much - "
"going for a safer _parse"
)
# try again
continue
else:
log.debug(
"Ruthless and lenient parsing did not work. "
"Returning raw html"
)
article = self.html.find("body")
if article is None:
article = self.html
cleaned_article = self.sanitize(article, candidates, keep_all_images)
article_length = len(cleaned_article or "")
retry_length = self.retry_length
of_acceptable_length = article_length >= retry_length
if ruthless and not of_acceptable_length:
ruthless = False
# Loop through and try again.
continue
else:
return cleaned_article
except Exception as e:
log.exception("error getting summary: ")
raise Unparseable(str(e)).with_traceback(sys.exc_info()[2])
def get_article(self, candidates, best_candidate, html_partial=False):
# Now that we have the top candidate, look through its siblings for
# content that might also be related.
# Things like preambles, content split by ads that we removed, etc.
sibling_score_threshold = max([10, best_candidate["content_score"] * 0.2])
# create a new html document with a html->body->div
if html_partial:
output = fragment_fromstring("<div/>")
else:
output = document_fromstring("<div/>")
best_elem = best_candidate["elem"]
parent = best_elem.getparent()
siblings = parent.getchildren() if parent is not None else [best_elem]
for sibling in siblings:
# in lxml there no concept of simple text
# if isinstance(sibling, NavigableString): continue
append = False
if sibling is best_elem:
append = True
sibling_key = sibling # HashableElement(sibling)
if (
sibling_key in candidates
and candidates[sibling_key]["content_score"] >= sibling_score_threshold
):
append = True
if sibling.tag == "p":
link_density = self.get_link_density(sibling)
node_content = sibling.text or ""
node_length = len(node_content)
if node_length > 80 and link_density < 0.25:
append = True
elif (
node_length <= 80
and link_density == 0
and re.search(r"\.( |$)", node_content)
):
append = True
if append:
# We don't want to append directly to output, but the div
# in html->body->div
if html_partial:
output.append(sibling)
else:
output.getchildren()[0].getchildren()[0].append(sibling)
# if output is not None:
# output.append(best_elem)
return output
def select_best_candidate(self, candidates):
if not candidates:
return None
sorted_candidates = sorted(
candidates.values(), key=lambda x: x["content_score"], reverse=True
)
for candidate in sorted_candidates[:5]:
elem = candidate["elem"]
log.debug("Top 5 : {:6.3f} {}".format(candidate["content_score"], describe(elem)))
best_candidate = sorted_candidates[0]
return best_candidate
def get_link_density(self, elem):
link_length = 0
for i in elem.findall(".//a"):
link_length += text_length(i)
# if len(elem.findall(".//div") or elem.findall(".//p")):
# link_length = link_length
total_length = text_length(elem)
return float(link_length) / max(total_length, 1)
def score_paragraphs(self):
MIN_LEN = self.min_text_length
candidates = {}
ordered = []
for elem in self.tags(self._html(), "p", "pre", "td"):
parent_node = elem.getparent()
if parent_node is None:
continue
grand_parent_node = parent_node.getparent()
inner_text = clean(elem.text_content() or "")
inner_text_len = len(inner_text)
# If this paragraph is less than 25 characters
# don't even count it.
if inner_text_len < MIN_LEN:
continue
if parent_node not in candidates:
candidates[parent_node] = self.score_node(parent_node)
ordered.append(parent_node)
if grand_parent_node is not None and grand_parent_node not in candidates:
candidates[grand_parent_node] = self.score_node(grand_parent_node)
ordered.append(grand_parent_node)
content_score = 1
content_score += len(inner_text.split(","))
content_score += min((inner_text_len / 100), 3)
# if elem not in candidates:
# candidates[elem] = self.score_node(elem)
# WTF? candidates[elem]['content_score'] += content_score
candidates[parent_node]["content_score"] += content_score
if grand_parent_node is not None:
candidates[grand_parent_node]["content_score"] += content_score / 2.0
# Scale the final candidates score based on link density. Good content
# should have a relatively small link density (5% or less) and be
# mostly unaffected by this operation.
for elem in ordered:
candidate = candidates[elem]
ld = self.get_link_density(elem)
score = candidate["content_score"]
log.debug(
"Branch %6.3f %s link density %.3f -> %6.3f"
% (score, describe(elem), ld, score * (1 - ld))
)
candidate["content_score"] *= 1 - ld
return candidates
def class_weight(self, e):
weight = 0
for feature in [e.get("class", None), e.get("id", None)]:
if feature:
if REGEXES["negativeRe"].search(feature):
weight -= 25
if REGEXES["positiveRe"].search(feature):
weight += 25
if self.positive_keywords and self.positive_keywords.search(feature):
weight += 25
if self.negative_keywords and self.negative_keywords.search(feature):
weight -= 25
if self.positive_keywords and self.positive_keywords.match("tag-" + e.tag):
weight += 25
if self.negative_keywords and self.negative_keywords.match("tag-" + e.tag):
weight -= 25
return weight
def score_node(self, elem):
content_score = self.class_weight(elem)
name = elem.tag.lower()
if name in ["div", "article"]:
content_score += 5
elif name in ["pre", "td", "blockquote"]:
content_score += 3
elif name in ["address", "ol", "ul", "dl", "dd", "dt", "li", "form", "aside"]:
content_score -= 3
elif name in [
"h1",
"h2",
"h3",
"h4",
"h5",
"h6",
"th",
"header",
"footer",
"nav",
]:
content_score -= 5
return {"content_score": content_score, "elem": elem}
def remove_unlikely_candidates(self):
for elem in self.html.findall(".//*"):
s = "{} {}".format(elem.get("class", ""), elem.get("id", ""))
if len(s) < 2:
continue
if (
REGEXES["unlikelyCandidatesRe"].search(s)
and (not REGEXES["okMaybeItsACandidateRe"].search(s))
and elem.tag not in ["html", "body"]
):
log.debug("Removing unlikely candidate - %s" % describe(elem))
elem.drop_tree()
def transform_misused_divs_into_paragraphs(self):
for elem in self.tags(self.html, "div"):
# transform <div>s that do not contain other block elements into
# <p>s
# FIXME: The current implementation ignores all descendants that
# are not direct children of elem
# This results in incorrect results in case there is an <img>
# buried within an <a> for example
if not REGEXES["divToPElementsRe"].search(
str(b"".join(tostring(s, encoding='utf-8') for s in elem))
# str(b"".join(map(tostring_, list(elem))))
):
# log.debug("Altering %s to p" % (describe(elem)))
elem.tag = "p"
# print "Fixed element "+describe(elem)
for elem in self.tags(self.html, "div"):
if elem.text and elem.text.strip():
p = fragment_fromstring("<p/>")
p.text = elem.text
elem.text = None
elem.insert(0, p)
# print "Appended "+tounicode(p)+" to "+describe(elem)
for pos, child in reversed(list(enumerate(elem))):
if child.tail and child.tail.strip():
p = fragment_fromstring("<p/>")
p.text = child.tail
child.tail = None
elem.insert(pos + 1, p)
# print "Inserted "+tounicode(p)+" to "+describe(elem)
if child.tag == "br":
# print 'Dropped <br> at '+describe(elem)
child.drop_tree()
def tags(self, node, *tag_names):
for tag_name in tag_names:
yield from node.findall(".//%s" % tag_name)
def reverse_tags(self, node, *tag_names):
for tag_name in tag_names:
yield from reversed(node.findall(".//%s" % tag_name))
def sanitize(self, node, candidates, keep_all_images=False):
MIN_LEN = self.min_text_length
for header in self.tags(node, "h1", "h2", "h3", "h4", "h5", "h6"):
if self.class_weight(header) < 0 or self.get_link_density(header) > 0.33:
header.drop_tree()
for elem in self.tags(node, "form", "textarea"):
elem.drop_tree()
for elem in self.tags(node, "iframe"):
if "src" in elem.attrib and REGEXES["videoRe"].search(elem.attrib["src"]):
elem.text = "VIDEO" # ADD content to iframe text node to force <iframe></iframe> proper output
else:
elem.drop_tree()
allowed = {}
# Conditionally clean <table>s, <ul>s, and <div>s
for el in self.reverse_tags(
node, "table", "ul", "div", "aside", "header", "footer", "section"
):
if el in allowed:
continue
weight = self.class_weight(el)
if el in candidates:
content_score = candidates[el]["content_score"]
# print '!',el, '-> %6.3f' % content_score
else:
content_score = 0
tag = el.tag
if weight + content_score < 0:
log.debug(
"Removed %s with score %6.3f and weight %-3s"
% (describe(el), content_score, weight,)
)
el.drop_tree()
elif el.text_content().count(",") < 10:
counts = {}
for kind in ["p", "img", "li", "a", "embed", "input"]:
counts[kind] = len(el.findall(".//%s" % kind))
counts["li"] -= 100
counts["input"] -= len(el.findall('.//input[@type="hidden"]'))
# Count the text length excluding any surrounding whitespace
content_length = text_length(el)
link_density = self.get_link_density(el)
parent_node = el.getparent()
if parent_node is not None:
if parent_node in candidates:
content_score = candidates[parent_node]["content_score"]
else:
content_score = 0
# if parent_node is not None:
# pweight = self.class_weight(parent_node) + content_score
# pname = describe(parent_node)
# else:
# pweight = 0
# pname = "no parent"
to_remove = False
reason = ""
if keep_all_images and el.tag == 'div' and counts["img"] >= 1:
continue
if counts["p"] and counts["img"] > 1 + counts["p"] * 1.3:
reason = "too many images (%s)" % counts["img"]
to_remove = True
elif counts["li"] > counts["p"] and tag not in ("ol", "ul"):
reason = "more <li>s than <p>s"
to_remove = True
elif counts["input"] > (counts["p"] / 3):
reason = "less than 3x <p>s than <input>s"
to_remove = True
elif content_length < MIN_LEN and counts["img"] == 0:
reason = (
"too short content length %s without a single image"
% content_length
)
to_remove = True
elif content_length < MIN_LEN and counts["img"] > 2:
reason = (
"too short content length %s and too many images"
% content_length
)
to_remove = True
elif weight < 25 and link_density > 0.2:
reason = "too many links {:.3f} for its weight {}".format(
link_density,
weight,
)
to_remove = True
elif weight >= 25 and link_density > 0.5:
reason = "too many links {:.3f} for its weight {}".format(
link_density,
weight,
)
to_remove = True
elif (counts["embed"] == 1 and content_length < 75) or counts[
"embed"
] > 1:
reason = (
"<embed>s with too short content length, or too many <embed>s"
)
to_remove = True
elif not content_length:
reason = "no content"
to_remove = True
# if el.tag == 'div' and counts['img'] >= 1 and to_remove:
# imgs = el.findall('.//img')
# valid_img = False
# log.debug(tounicode(el))
# for img in imgs:
#
# height = img.get('height')
# text_length = img.get('text_length')
# log.debug ("height %s text_length %s" %(repr(height), repr(text_length)))
# if to_int(height) >= 100 or to_int(text_length) >= 100:
# valid_img = True
# log.debug("valid image" + tounicode(img))
# break
# if valid_img:
# to_remove = False
# log.debug("Allowing %s" %el.text_content())
# for desnode in self.tags(el, "table", "ul", "div"):
# allowed[desnode] = True
# find x non empty preceding and succeeding siblings
i, j = 0, 0
x = 1
siblings = []
for sib in el.itersiblings():
# log.debug(sib.text_content())
sib_content_length = text_length(sib)
if sib_content_length:
i = +1
siblings.append(sib_content_length)
if i == x:
break
for sib in el.itersiblings(preceding=True):
# log.debug(sib.text_content())
sib_content_length = text_length(sib)
if sib_content_length:
j = +1
siblings.append(sib_content_length)
if j == x:
break
# log.debug(str_(siblings))
if siblings and sum(siblings) > 1000:
to_remove = False
log.debug("Allowing %s" % describe(el))
for desnode in self.tags(el, "table", "ul", "div", "section"):
allowed[desnode] = True
if to_remove:
log.debug(
"Removed %6.3f %s with weight %s cause it has %s."
% (content_score, describe(el), weight, reason)
)
# print tounicode(el)
# log.debug("pname %s pweight %.3f" %(pname, pweight))
el.drop_tree()
else:
log.debug(
"Not removing %s of length %s: %s"
% (describe(el), content_length, text_content(el))
)
self.html = node
return self.get_clean_html()
def main():
VERBOSITY = {1: logging.WARNING, 2: logging.INFO, 3: logging.DEBUG}
from optparse import OptionParser
parser = OptionParser(usage="%prog: [options] [file]")
parser.add_option("-v", "--verbose", action="count", default=0)
parser.add_option(
"-b", "--browser", default=None, action="store_true", help="open in browser"
)
parser.add_option(
"-l", "--log", default=None, help="save logs into file (appended)"
)
parser.add_option(
"-u", "--url", default=None, help="use URL instead of a local file"
)
parser.add_option("-x", "--xpath", default=None, help="add original xpath")
parser.add_option(
"-p",
"--positive-keywords",
default=None,
help="positive keywords (comma-separated)",
action="store",
)
parser.add_option(
"-n",
"--negative-keywords",
default=None,
help="negative keywords (comma-separated)",
action="store",
)
(options, args) = parser.parse_args()
if options.verbose:
logging.basicConfig(
level=VERBOSITY[options.verbose],
filename=options.log,
format="%(asctime)s: %(levelname)s: %(message)s (at %(filename)s: %(lineno)d)",
)
if not (len(args) == 1 or options.url):
parser.print_help()
sys.exit(1)
file = None
if options.url:
headers = {"User-Agent": "Mozilla/5.0"}
request = urllib.request.Request(options.url, None, headers)
file = urllib.request.urlopen(request)
else:
file = open(args[0])
try:
doc = Document(
file.read(),
url=options.url,
positive_keywords=options.positive_keywords,
negative_keywords=options.negative_keywords,
)
if options.browser:
from .browser import open_in_browser
result = "<h2>" + doc.short_title() + "</h2><br/>" + doc.summary()
open_in_browser(result)
else:
result = "Title:" + doc.short_title() + "\n" + doc.summary()
print(result)
finally:
file.close()
if __name__ == "__main__":
main()