369 lines
12 KiB
Python
369 lines
12 KiB
Python
from app.models.endpoint import Endpoint
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from bs4 import BeautifulSoup, NavigableString
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import copy
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import html
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import os
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import urllib.parse as urlparse
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from urllib.parse import parse_qs
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import re
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SKIP_ARGS = ['ref_src', 'utm']
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SKIP_PREFIX = ['//www.', '//mobile.', '//m.']
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GOOG_STATIC = 'www.gstatic.com'
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GOOG_IMG = '/images/branding/searchlogo/1x/googlelogo'
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LOGO_URL = GOOG_IMG + '_desk'
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BLANK_B64 = ('data:image/png;base64,'
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'iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAQAAAAnOwc2AAAAD0lEQVR42mNkw'
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'AIYh7IgAAVVAAuInjI5AAAAAElFTkSuQmCC')
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# Ad keywords
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BLACKLIST = [
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'ad', 'anuncio', 'annuncio', 'annonce', 'Anzeige', '广告', '廣告', 'Reklama',
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'Реклама', 'Anunț', '광고', 'annons', 'Annonse', 'Iklan', '広告', 'Augl.',
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'Mainos', 'Advertentie', 'إعلان', 'Գովազդ', 'विज्ञापन', 'Reklam', 'آگهی',
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'Reklāma', 'Reklaam', 'Διαφήμιση', 'מודעה', 'Hirdetés', 'Anúncio'
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]
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SITE_ALTS = {
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'twitter.com': os.getenv('WHOOGLE_ALT_TW', 'farside.link/nitter'),
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'youtube.com': os.getenv('WHOOGLE_ALT_YT', 'farside.link/invidious'),
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'instagram.com': os.getenv('WHOOGLE_ALT_IG', 'farside.link/bibliogram/u'),
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'reddit.com': os.getenv('WHOOGLE_ALT_RD', 'farside.link/libreddit'),
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**dict.fromkeys([
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'medium.com',
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'levelup.gitconnected.com'
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], os.getenv('WHOOGLE_ALT_MD', 'farside.link/scribe')),
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'imgur.com': os.getenv('WHOOGLE_ALT_IMG', 'imgin.voidnet.tech'),
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'wikipedia.com': os.getenv('WHOOGLE_ALT_WIKI', 'wikiless.org')
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}
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def bold_search_terms(response: str, query: str) -> BeautifulSoup:
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"""Wraps all search terms in bold tags (<b>). If any terms are wrapped
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in quotes, only that exact phrase will be made bold.
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Args:
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response: The initial response body for the query
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query: The original search query
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Returns:
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BeautifulSoup: modified soup object with bold items
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"""
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response = BeautifulSoup(response, 'html.parser')
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def replace_any_case(element: NavigableString, target_word: str) -> None:
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# Replace all instances of the word, but maintaining the same case in
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# the replacement
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if len(element) == len(target_word):
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return
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if not re.match('.*[a-zA-Z0-9].*', target_word) or (
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element.parent and element.parent.name == 'style'):
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return
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element.replace_with(BeautifulSoup(
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re.sub(fr'\b((?![{{}}<>-]){target_word}(?![{{}}<>-]))\b',
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r'<b>\1</b>',
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html.escape(element),
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flags=re.I), 'html.parser')
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)
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# Split all words out of query, grouping the ones wrapped in quotes
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for word in re.split(r'\s+(?=[^"]*(?:"[^"]*"[^"]*)*$)', query):
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word = re.sub(r'[^A-Za-z0-9 ]+', '', word)
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target = response.find_all(
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text=re.compile(r'' + re.escape(word), re.I))
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for nav_str in target:
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replace_any_case(nav_str, word)
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return response
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def has_ad_content(element: str) -> bool:
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"""Inspects an HTML element for ad related content
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Args:
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element: The HTML element to inspect
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Returns:
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bool: True/False for the element containing an ad
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"""
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return (element.upper() in (value.upper() for value in BLACKLIST)
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or 'ⓘ' in element)
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def get_first_link(soup: BeautifulSoup) -> str:
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"""Retrieves the first result link from the query response
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Args:
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soup: The BeautifulSoup response body
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Returns:
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str: A str link to the first result
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"""
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# Replace hrefs with only the intended destination (no "utm" type tags)
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for a in soup.find_all('a', href=True):
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# Return the first search result URL
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if 'url?q=' in a['href']:
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return filter_link_args(a['href'])
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return ''
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def get_site_alt(link: str) -> str:
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"""Returns an alternative to a particular site, if one is configured
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Args:
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link: A string result URL to check against the SITE_ALTS map
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Returns:
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str: An updated (or ignored) result link
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"""
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# Need to replace full hostname with alternative to encapsulate
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# subdomains as well
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hostname = urlparse.urlparse(link).hostname
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for site_key in SITE_ALTS.keys():
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if not hostname or site_key not in hostname:
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continue
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link = link.replace(hostname, SITE_ALTS[site_key])
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for prefix in SKIP_PREFIX:
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link = link.replace(prefix, '//')
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break
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return link
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def filter_link_args(link: str) -> str:
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"""Filters out unnecessary URL args from a result link
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Args:
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link: The string result link to check for extraneous URL params
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Returns:
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str: An updated (or ignored) result link
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"""
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parsed_link = urlparse.urlparse(link)
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link_args = parse_qs(parsed_link.query)
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safe_args = {}
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if len(link_args) == 0 and len(parsed_link) > 0:
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return link
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for arg in link_args.keys():
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if arg in SKIP_ARGS:
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continue
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safe_args[arg] = link_args[arg]
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# Remove original link query and replace with filtered args
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link = link.replace(parsed_link.query, '')
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if len(safe_args) > 0:
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link = link + urlparse.urlencode(safe_args, doseq=True)
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else:
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link = link.replace('?', '')
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return link
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def append_nojs(result: BeautifulSoup) -> None:
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"""Appends a no-Javascript alternative for a search result
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Args:
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result: The search result to append a no-JS link to
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Returns:
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None
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"""
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nojs_link = BeautifulSoup(features='html.parser').new_tag('a')
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nojs_link['href'] = f'/{Endpoint.window}?location=' + result['href']
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nojs_link.string = ' NoJS Link'
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result.append(nojs_link)
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def add_ip_card(html_soup: BeautifulSoup, ip: str) -> BeautifulSoup:
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"""Adds the client's IP address to the search results
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if query contains keywords
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Args:
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html_soup: The parsed search result containing the keywords
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ip: ip address of the client
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Returns:
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BeautifulSoup
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"""
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if (not html_soup.select_one(".EY24We")
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and html_soup.select_one(".OXXup").get_text().lower() == "all"):
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# HTML IP card tag
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ip_tag = html_soup.new_tag("div")
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ip_tag["class"] = "ZINbbc xpd O9g5cc uUPGi"
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# For IP Address html tag
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ip_address = html_soup.new_tag("div")
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ip_address["class"] = "kCrYT ip-address-div"
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ip_address.string = ip
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# Text below the IP address
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ip_text = html_soup.new_tag("div")
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ip_text.string = "Your public IP address"
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ip_text["class"] = "kCrYT ip-text-div"
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# Adding all the above html tags to the IP card
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ip_tag.append(ip_address)
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ip_tag.append(ip_text)
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# Finding the element before which the IP card would be placed
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f_link = html_soup.select_one(".BNeawe.vvjwJb.AP7Wnd")
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ref_element = f_link.find_parent(class_="ZINbbc xpd O9g5cc" +
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" uUPGi")
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# Inserting the element
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ref_element.insert_before(ip_tag)
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return html_soup
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def check_currency(response: str) -> dict:
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"""Check whether the results have currency conversion
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Args:
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response: Search query Result
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Returns:
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dict: Consists of currency names and values
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"""
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soup = BeautifulSoup(response, 'html.parser')
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currency_link = soup.find('a', {'href': 'https://g.co/gfd'})
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if currency_link:
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while 'class' not in currency_link.attrs or \
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'ZINbbc' not in currency_link.attrs['class']:
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currency_link = currency_link.parent
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currency_link = currency_link.find_all(class_='BNeawe')
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currency1 = currency_link[0].text
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currency2 = currency_link[1].text
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currency1 = currency1.rstrip('=').split(' ', 1)
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currency2 = currency2.split(' ', 1)
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if currency2[0][-3] == ',':
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currency1[0] = currency1[0].replace('.', '')
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currency1[0] = currency1[0].replace(',', '.')
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currency2[0] = currency2[0].replace('.', '')
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currency2[0] = currency2[0].replace(',', '.')
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else:
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currency1[0] = currency1[0].replace(',', '')
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currency2[0] = currency2[0].replace(',', '')
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return {'currencyValue1': float(currency1[0]),
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'currencyLabel1': currency1[1],
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'currencyValue2': float(currency2[0]),
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'currencyLabel2': currency2[1]
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}
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return {}
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def add_currency_card(soup: BeautifulSoup,
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conversion_details: dict) -> BeautifulSoup:
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"""Adds the currency conversion boxes
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to response of the search query
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Args:
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soup: Parsed search result
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conversion_details: Dictionary of currency
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related information
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Returns:
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BeautifulSoup
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"""
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# Element before which the code will be changed
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# (This is the 'disclaimer' link)
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element1 = soup.find('a', {'href': 'https://g.co/gfd'})
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while 'class' not in element1.attrs or \
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'nXE3Ob' not in element1.attrs['class']:
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element1 = element1.parent
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# Creating the conversion factor
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conversion_factor = (conversion_details['currencyValue1'] /
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conversion_details['currencyValue2'])
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# Creating a new div for the input boxes
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conversion_box = soup.new_tag('div')
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conversion_box['class'] = 'conversion_box'
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# Currency to be converted from
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input_box1 = soup.new_tag('input')
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input_box1['id'] = 'cb1'
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input_box1['type'] = 'number'
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input_box1['class'] = 'cb'
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input_box1['value'] = conversion_details['currencyValue1']
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input_box1['oninput'] = f'convert(1, 2, {1 / conversion_factor})'
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label_box1 = soup.new_tag('label')
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label_box1['for'] = 'cb1'
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label_box1['class'] = 'cb_label'
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label_box1.append(conversion_details['currencyLabel1'])
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br = soup.new_tag('br')
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# Currency to be converted to
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input_box2 = soup.new_tag('input')
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input_box2['id'] = 'cb2'
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input_box2['type'] = 'number'
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input_box2['class'] = 'cb'
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input_box2['value'] = conversion_details['currencyValue2']
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input_box2['oninput'] = f'convert(2, 1, {conversion_factor})'
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label_box2 = soup.new_tag('label')
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label_box2['for'] = 'cb2'
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label_box2['class'] = 'cb_label'
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label_box2.append(conversion_details['currencyLabel2'])
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conversion_box.append(input_box1)
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conversion_box.append(label_box1)
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conversion_box.append(br)
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conversion_box.append(input_box2)
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conversion_box.append(label_box2)
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element1.insert_before(conversion_box)
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return soup
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def get_tabs_content(tabs: dict,
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full_query: str,
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search_type: str,
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translation: dict) -> dict:
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"""Takes the default tabs content and updates it according to the query.
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Args:
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tabs: The default content for the tabs
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full_query: The original search query
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search_type: The current search_type
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translation: The translation to get the names of the tabs
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Returns:
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dict: contains the name, the href and if the tab is selected or not
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"""
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tabs = copy.deepcopy(tabs)
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for tab_id, tab_content in tabs.items():
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# update name to desired language
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if tab_id in translation:
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tab_content['name'] = translation[tab_id]
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# update href with query
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query = full_query.replace(f'&tbm={search_type}', '')
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if tab_content['tbm'] is not None:
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query = f"{query}&tbm={tab_content['tbm']}"
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tab_content['href'] = tab_content['href'].format(query=query)
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# update if selected tab (default all tab is selected)
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if tab_content['tbm'] == search_type:
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tabs['all']['selected'] = False
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tab_content['selected'] = True
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return tabs
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