The easiest way, assuming you want a single KV per container is to do the following:

import pydaos

cont = pydaos.cont(‘<pool_uuid>’, ‘<container_uuid>’)

kv = cont.root_kv()

kv[‘key’] = value

If you want multiple kvs per container then you have to do something like daos_named_kv and store the name ó object_id translation in the root kv, or you can call cont.newkv() to create a new key-value store, and save kv.oid.lo and kv.oid.hi out-of-band, reopening the kv later on with kv = cont.kv(pydaos.OjbID(lo, hi).

The issues with the socket come from non-default install paths, but this is OK, you need to set DAOS_AGENT_DRPC_DIR to the directory that your agent was started with, as documented here https://daos-stack.github.io/admin/deployment/  I assume you have the agent and server already running?

Ashley.

Ok, regarding KVObj, my naive attempt was:

import pydaos

pydaos.KVObj()

And that obviously fails due to missing positional arguments. I didn't realize on the factory-like mechanisms through the daos_named_kv class. But I don't follow your steps, should I use daos_named_kv or I should not? I don't really see which parameter values should I use --I am trying to follow the single-server installation instructions as closely as possible, trying to remain in the default-land.

Even if I get the KV interface to work, wouldn't I have the same issues with the broken socket which I am already having while trying pydaos.raw? Or are there some key differences between both of them? Should I configure the /var/run/daos_agent path somewhere? Why can I do things like pool creation through CLI but the Python pydaos.raw break?

On the "what I am trying to achieve": I want to "validate" (for lack of a better word) that the installation of DAOS I have in our development machine is correct and is using properly its OptaneDC PMM --that is the only deviation from the single-server defaults I have consciously introduced in my installation so far. For now, I have been able to build DAOS in the machine and start all the DAOS services, but I haven't managed to use it from application space yet. And PyDAOS seemed a good way to proceed, is it?