Outdated dependencies
imarinmed opened this issue · comments
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 the tensorflowpackage:
[SolverProblemError]
Because kubemq (1.1.0) depends on protobuf (3.6.1)
and no versions of kubemq match >1.1.0,<2.0.0, kubemq (>=1.1.0,<2.0.0) requires protobuf (3.6.1).
So, because <my-project> depends on both kubemq (^1.1.0) and protobuf (^3.13.0), version solving failed.
As poetry indicates, this is just a dependency problem: kubemq points to an outdated protobuf version, while the tensorflow library within my project points to the most updated one (3.13.0).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 :)
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 .