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whoogle-search/app/utils/results.py

226 lines
6.8 KiB
Python

from app.models.endpoint import Endpoint
from bs4 import BeautifulSoup, NavigableString
import html
import os
import urllib.parse as urlparse
from urllib.parse import parse_qs
import re
SKIP_ARGS = ['ref_src', 'utm']
SKIP_PREFIX = ['//www.', '//mobile.', '//m.']
GOOG_STATIC = 'www.gstatic.com'
GOOG_IMG = '/images/branding/searchlogo/1x/googlelogo'
LOGO_URL = GOOG_IMG + '_desk'
BLANK_B64 = ('data:image/png;base64,'
'iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAQAAAAnOwc2AAAAD0lEQVR42mNkw'
'AIYh7IgAAVVAAuInjI5AAAAAElFTkSuQmCC')
# Ad keywords
BLACKLIST = [
'ad', 'anuncio', 'annuncio', 'annonce', 'Anzeige', '广告', '廣告', 'Reklama',
'Реклама', 'Anunț', '광고', 'annons', 'Annonse', 'Iklan', '広告', 'Augl.',
'Mainos', 'Advertentie', 'إعلان', 'Գովազդ', 'विज्ञापन', 'Reklam', 'آگهی',
'Reklāma', 'Reklaam', 'Διαφήμιση', 'מודעה', 'Hirdetés', 'Anúncio'
]
SITE_ALTS = {
'twitter.com': os.getenv('WHOOGLE_ALT_TW', 'nitter.net'),
'youtube.com': os.getenv('WHOOGLE_ALT_YT', 'invidious.snopyta.org'),
'instagram.com': os.getenv('WHOOGLE_ALT_IG', 'bibliogram.art/u'),
'reddit.com': os.getenv('WHOOGLE_ALT_RD', 'libredd.it'),
**dict.fromkeys([
'medium.com',
'levelup.gitconnected.com'
], os.getenv('WHOOGLE_ALT_MD', 'scribe.rip'))
}
def bold_search_terms(response: str, query: str) -> BeautifulSoup:
"""Wraps all search terms in bold tags (<b>). If any terms are wrapped
in quotes, only that exact phrase will be made bold.
Args:
response: The initial response body for the query
query: The original search query
Returns:
BeautifulSoup: modified soup object with bold items
"""
response = BeautifulSoup(response, 'html.parser')
def replace_any_case(element: NavigableString, target_word: str) -> None:
# Replace all instances of the word, but maintaining the same case in
# the replacement
if len(element) == len(target_word):
return
if not re.match('.*[a-zA-Z0-9].*', target_word) or (
element.parent and element.parent.name == 'style'):
return
element.replace_with(BeautifulSoup(
re.sub(fr'\b((?![{{}}<>-]){target_word}(?![{{}}<>-]))\b',
r'<b>\1</b>',
html.escape(element),
flags=re.I), 'html.parser')
)
# Split all words out of query, grouping the ones wrapped in quotes
for word in re.split(r'\s+(?=[^"]*(?:"[^"]*"[^"]*)*$)', query):
word = re.sub(r'[^A-Za-z0-9 ]+', '', word)
target = response.find_all(
text=re.compile(r'' + re.escape(word), re.I))
for nav_str in target:
replace_any_case(nav_str, word)
return response
def has_ad_content(element: str) -> bool:
"""Inspects an HTML element for ad related content
Args:
element: The HTML element to inspect
Returns:
bool: True/False for the element containing an ad
"""
return (element.upper() in (value.upper() for value in BLACKLIST)
or '' in element)
def get_first_link(soup: BeautifulSoup) -> str:
"""Retrieves the first result link from the query response
Args:
soup: The BeautifulSoup response body
Returns:
str: A str link to the first result
"""
# Replace hrefs with only the intended destination (no "utm" type tags)
for a in soup.find_all('a', href=True):
# Return the first search result URL
if 'url?q=' in a['href']:
return filter_link_args(a['href'])
return ''
def get_site_alt(link: str) -> str:
"""Returns an alternative to a particular site, if one is configured
Args:
link: A string result URL to check against the SITE_ALTS map
Returns:
str: An updated (or ignored) result link
"""
# Need to replace full hostname with alternative to encapsulate
# subdomains as well
hostname = urlparse.urlparse(link).hostname
for site_key in SITE_ALTS.keys():
if not hostname or site_key not in hostname:
continue
link = link.replace(hostname, SITE_ALTS[site_key])
for prefix in SKIP_PREFIX:
link = link.replace(prefix, '//')
break
return link
def filter_link_args(link: str) -> str:
"""Filters out unnecessary URL args from a result link
Args:
link: The string result link to check for extraneous URL params
Returns:
str: An updated (or ignored) result link
"""
parsed_link = urlparse.urlparse(link)
link_args = parse_qs(parsed_link.query)
safe_args = {}
if len(link_args) == 0 and len(parsed_link) > 0:
return link
for arg in link_args.keys():
if arg in SKIP_ARGS:
continue
safe_args[arg] = link_args[arg]
# Remove original link query and replace with filtered args
link = link.replace(parsed_link.query, '')
if len(safe_args) > 0:
link = link + urlparse.urlencode(safe_args, doseq=True)
else:
link = link.replace('?', '')
return link
def append_nojs(result: BeautifulSoup) -> None:
"""Appends a no-Javascript alternative for a search result
Args:
result: The search result to append a no-JS link to
Returns:
None
"""
nojs_link = BeautifulSoup(features='html.parser').new_tag('a')
nojs_link['href'] = f'/{Endpoint.window}?location=' + result['href']
nojs_link.string = ' NoJS Link'
result.append(nojs_link)
def add_ip_card(html_soup: BeautifulSoup, ip: str) -> BeautifulSoup:
"""Adds the client's IP address to the search results
if query contains keywords
Args:
html_soup: The parsed search result containing the keywords
ip: ip address of the client
Returns:
BeautifulSoup
"""
if (not html_soup.select_one(".EY24We")
and html_soup.select_one(".OXXup").get_text().lower() == "all"):
# HTML IP card tag
ip_tag = html_soup.new_tag("div")
ip_tag["class"] = "ZINbbc xpd O9g5cc uUPGi"
# For IP Address html tag
ip_address = html_soup.new_tag("div")
ip_address["class"] = "kCrYT ip-address-div"
ip_address.string = ip
# Text below the IP address
ip_text = html_soup.new_tag("div")
ip_text.string = "Your public IP address"
ip_text["class"] = "kCrYT ip-text-div"
# Adding all the above html tags to the IP card
ip_tag.append(ip_address)
ip_tag.append(ip_text)
# Finding the element before which the IP card would be placed
f_link = html_soup.select_one(".BNeawe.vvjwJb.AP7Wnd")
ref_element = f_link.find_parent(class_="ZINbbc xpd O9g5cc" +
" uUPGi")
# Inserting the element
ref_element.insert_before(ip_tag)
return html_soup