ggl-chk / app.py
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import requests, base64
from bs4 import BeautifulSoup
import re
import gradio as gr
def get_blocked_urls():
"""
Get a list of blocked URLs.
Returns:
list: A list of blocked URLs.
Raises:
None.
"""
url = 'https://colab.research.google.com/'
r = requests.get(url)
if r.status_code == 200:
result = []
soup = BeautifulSoup(r.text, 'html.parser')
# search for script that contains "external_polymer_binary" in attr
for script in soup.find_all('script'):
if "external_polymer_binary" in str(script):
r_js = requests.get(script['src'])
# print(r_js.text)
pattern = r"'(.*?)webui(.*?)'"
match = re.search(pattern, r_js.text)
raw_string = match.group(0)
# trim 1 char front and back, split the text with ';' into array
raw_string = raw_string[1:-1].split(';')
result = raw_string
for i in range(len(result)):
decodedurl = result[i]
repeats = 0
try:
for _ in range(10):
decodedurl = base64.b64decode(f"{decodedurl}========================================================").decode('utf-8') # this took 2 hours to figure out
repeats += 1
except:
pass
if decodedurl != result[i]:
result[i] = f"{result[i]} < {decodedurl} x{repeats}>[thisisb64]"
if len(result) > 0:
return (result)
else:
return (["failed :<"])
else:
return (["res code: "+r.status_code])
def handle_refresh():
"""
Generates an HTML ordered list of blocked URLs.
Returns:
str: The HTML string containing the ordered list of blocked URLs.
"""
xs = "<ol>"
for url in get_blocked_urls():
if "[thisisb64]" in url:
url = url.replace("[thisisb64]", "")
nondecoded = url.split('<')[0]
decodedurl = url.split('<')[1]
decodedurl = f"&lt;{decodedurl.replace('>', '&gt;')}"
xs += '<li><code>'+nondecoded+'</code>' + '<p style="color: #4EACEF">'+decodedurl+'</p></li>'
else:
xs += "<li><code>"+url+"</code></li>"
xs += "</ol>"
return xs
with gr.Blocks(
analytics_enabled=False, title="GGL Checks", theme="NoCrypt/miku"
) as demo:
gr.HTML("""<center><h1>GGL Checks</h1></center>""")
refresh = gr.Button("Refresh", variant="primary")
html = gr.HTML()
refresh.click(handle_refresh, outputs=[html])
demo.launch(debug=True)