Closed imarinmed closed 4 years ago
Hi @imarinmed , Thanks for the notice, we will look into it and update you.
Hi @imarinmed This issue was addressed in the latest release
Hi, @eitam-ring, thank you so much! We'll now re-implement it right away (to go around this problem for short-term, we made an internal fork and made specific changes to address it).
Also, would you consider external contributions to this project from us?
Hi, @imarinmed No problem, Regarding the external contributions, Yes, we do consider and accept, Just create a fork, and arrange a pull request, once it been approved we will marge it to the master.
Closing since the issue has been resolved, If needed feel free to open a new issue @imarinmed .
In my current project, I am using
kubemq
as part of a networking internal library which is used by several services, including one for machine learning purposes. However, when trying to tie everything together,kubemq
is unable to play proper with thetensorflow
package:As poetry indicates, this is just a dependency problem: kubemq points to an outdated protobuf version, while the tensorflow library within my project points to the most updated one (3.13.0).
Proposal: how to fix
This issue seems simple enough :) Just updating the dependencies should fix the problem. It is also interesting to mention that protobuf is reaching 4.0.0 in its next version, so maybe kubemq-python could start using poetry to better track and manage these issues in the future :)