This patch changes the handling of NodeFeatureRules so that one feature
name (say "cpu.cpuid") can hold different types of features (flags,
attributes and/or instances). Requiring features to choose one single
type has not been a limitation of the API itself (and there has been no
validation on this) but an implementation decision.
The new evalutation logic of match expressions is such that "flags" and
"attributes" are basically evaluated as an union - they are both maps
but "flags" just don't have any value associated with the key. However,
"instances" are handled separately as that is basically an array of
maps and needs to be evaluated in a different way (loop over the array
of instances and evaluate expressions against the attributes of each).
Because of this difference care must be taken if mixing "instance"
features with "flag" and/or "attribute" features.
Note that the API types or their validation is not changed - just the
implementation of how the NodeFeatureRules are evaluated.
The NodeFeatureGroup is an NFD-specific custom resource that is designed for
grouping nodes based on their features. NFD-Master watches for NodeFeatureGroup
objects in the cluster and updates the status of the NodeFeatureGroup object
with the list of nodes that match the feature group rules. The NodeFeatureGroup
rules follow the same syntax as the NodeFeatureRule rules.
Signed-off-by: Carlos Eduardo Arango Gutierrez <eduardoa@nvidia.com>
Don't require that the annotation value must conform to the (strict)
requirements of label values. In the Kubernetes API annotation values do
not have other restrictions than that the total size (keys and values)
of _all_ annotations combined of an object must not exceed 256kB.
This patch sets a maximum size limit of 1kB for the value of a single
feature annotation created by NFD. This limit is rather arbitrary but
should be enough for the NFD usage scenarios (until proven wrong).
