Open bjia56 opened 11 months ago
Can confirm that this works as expected. Before this I had problem with authenticating.
Works as expected - Was not able to authenticate before
I tried to run this fix, but it throws an error - see below.
I can confirm that /usr/lib/libSystem.B.dylib
is present on my system.
I have tried to run this code from both pipenv and just a python3.10 local install.
but I get the same error each time.
only part of the traceback that stands out to me is - "built for Mac OS X 11.0"
i'm running on Mojave 10.14.6 - have not been able to test on Mac OS 11 system.
Traceback (most recent call last):
File "/Users/<user>/_Github/arlo-fix/arlo-cloudflarefix/main.py", line 4, in <module>
from arlo import Arlo
File "/Users/<user>/_Github/arlo-fix/arlo-cloudflarefix/arlo.py", line 27, in <module>
from request import Request
File "/Users/<user>/_Github/arlo-fix/arlo-cloudflarefix/request.py", line 19, in <module>
from curl_cffi import requests as curl_cffi_requests
File "/Users/<user>/.local/share/virtualenvs/arlo-cloudflarefix-ZHEWMQYK/lib/python3.10/site-packages/curl_cffi/__init__.py", line 4, in <module>
from ._wrapper import ffi, lib # type: ignore
ImportError: dlopen(/Users/<user>/.local/share/virtualenvs/arlo-cloudflarefix-ZHEWMQYK/lib/python3.10/site-packages/curl_cffi/_wrapper.abi3.so, 2): Symbol not found: ___darwin_check_fd_set_overflow
Referenced from: /Users/<user>/.local/share/virtualenvs/arlo-cloudflarefix-ZHEWMQYK/lib/python3.10/site-packages/curl_cffi/.dylibs/libcurl-impersonate-chrome.4.dylib (which was built for Mac OS X 11.0)
Expected in: /usr/lib/libSystem.B.dylib
in /Users/<user>/.local/share/virtualenvs/arlo-cloudflarefix-ZHEWMQYK/lib/python3.10/site-packages/curl_cffi/.dylibs/libcurl-impersonate-chrome.4.dylib
The published curl_cffi
package may have been built on a newer MacOS version, which unfortunately means it is not guaranteed to be backwards compatible to run on older versions
Cloudflare frequently returns a 403 on the Arlo login, which to the best of my understanding is decided on client heuristics, i.e. if a client is determined with some confidence to not be a browser, the request is blocked. One of the heuristics used is the TLS fingerprint of the client. The
curl_cffi
project aims to enable Python scripts to bypass this TLS fingerprinting check through creating TLS handshakes that are identical to a real Chrome browser. This is accomplished through the use of thecurl-impersonate
project, which compilescurl
with the exact TLS/SSL libraries used by Chrome and Firefox.We have seen reasonable success in using this option over
cloudscraper
in the Scrypted home automation project. A caveat is thatcurl_cffi
exposes arequests
-like API, but does not implement the full API; therefore,curl_cffi
is only used for the initial login, and subsequent requests fall back onrequests
sosseclient
can continue working. Arlo appears to be happy with just the token in the header, and performs no additional TLS fingerprinting checks after login succeeds.Note that this is not tested comprehensively, since I do not use this version of the arlo library.
Fixes #204