metacall
Bug: PyYAML Installation Fails Due to cython_sources AttributeError
Description
I encountered an error while installing the dependencies using pip3 install -r requirements.txt on a Kali Linux system. The installation process fails while trying to build PyYAML, throwing an AttributeError: cython_sources. This issue seems related to a setuptools/distutils incompatibility as discussed here
Expected Behavior
The dependencies should install successfully without requiring manual intervention.
Steps to Reproduce
-
Clone the repository.
-
Run:
metacall pip3 install -r requirements.txt -
The installation fails with the following error: log.file
Environment
- OS: Kali Linux
- Python Version: 3.10
- Pip Version: 22.2.2
Update on the issue :-
After fixing the problem for PyYaml it seems like there are conflict with versions of some dependencies as some depend on their versions
What I Am getting right now
ERROR: Cannot install -r requirements.txt (line 15) and tinysegmenter==0.4 because these package versions have conflicting dependencies.
The conflict is caused by:
newspaper3k 0.2.8 depends on tinysegmenter==0.3
ERROR: Cannot install -r requirements.txt (line 24) and urllib3==2.3.0 because these package versions have conflicting dependencies.
The conflict is caused by:
requests 2.24.0 depends on urllib3!=1.25.0, !=1.25.1,<1.26,>=1.21.1
getting same error for more dependencies unsuitability
Solution :-
Update the necessary dependencies to the latest versions
now on metacall app.js it asks for link
`
──(kali㉿kali)-[~/ml-news-article-scraper-example]
└─$ metacall app.js
Enter the News URL: https://www.nytimes.com/2021/03/23/business/teslas-autopilot-safety-investigations.html `
After Fixing the above stated issue with this PR
When running the metacall app.js , the program ask for link of the article
as stated in the above comment but
then I am getting this error
It seems like the ml model on new dependencies need to be re-trained (as the old ones are deprecated which was preventing the requirement to get installed) as it is unable to load the pac.pkl model with old dependencies in requirements.txt
