Open Stack

Hi Torin,

If you are using stable/pike, then it is recommended to use python-masakariclient version 3.0.1 [1] which requires openstacksdk version 0.9.17.

Are you trying to upgrade your stable/pike environment to the latest rocky-milestone1 (all services including Masakari)?

[1] : https://github.com/openstack/requirements/blob/stable/pike/upper-constraints.txt

Regards,
Tushar Patil

________________________________________
From: Torin Woltjer <torin.woltjer at granddial.com>
Sent: Wednesday, May 16, 2018 10:32:10 PM
To: fungi at yuggoth.org; openstack at lists.openstack.org
Subject: Re: [Openstack] Masakari client error

It looks like pip install actually upgraded my openstacksdk to 0.13 when I installed masakari from pip. Meanwhile the sdk in the 16.04 repository is 0.9.17. I'm wondering now if this might explain why my block storage is also having problems. What is the process for setting up a local environment for separate versions of the SDK (With different services using each?)

Torin Woltjer

Grand Dial Communications - A ZK Tech Inc. Company

616.776.1066 ext. 2006
<http://www.granddial.com>www.granddial.com<http://www.granddial.com>

________________________________
From: Jeremy Stanley <fungi at yuggoth.org>
Sent: 5/16/18 8:59 AM
To: openstack at lists.openstack.org
Subject: Re: [Openstack] Masakari client error
On 2018-05-16 12:30:47 +0000 (+0000), Torin Woltjer wrote:
[...]
> I am using Pike and not Queens so the openstacksdk version 13 is
> not available in the repository. Should openstacksdk version 0.13
> still work with Pike
[...]

OpenStackSDK strives for backwards-compatibility with even fairly
ancient OpenStack releases, and is not tied to any particular
version of OpenStack services. It should always be safe to run the
latest releases of OpenStackSDK no matter the age of the deployment
with which you intend to communicate.

Note however that the dependencies of OpenStackSDK may conflict with
dependencies of some OpenStack service, so you can't necessarily
expect to be able to co-install them on the same machine without
some means of context separation (virtualenvs, containers, pip
install --local, et cetera).
--
Jeremy Stanley
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