In my homelab, I have different FTDI serial converters connected to
several utility meters. They all have identical vendor/device, but
different serials.
In order to detect a specific FTDI unit (eg. the one connected to my
electricity meter), I'd like feature labels triggered by a specific USB
serial.
Signed-off-by: Jorik Jonker <jorik@kippendief.biz>
There are cases when the only available metadata for discovering
features is the node's name. The "nodename" rule extends the custom
source and matches when the node's name matches one of the given
nodename regexp patterns.
It is also possible now to set an optional "value" on custom rules,
which overrides the default "true" label value in case the rule matches.
In order to allow more dynamic configurations without having to modify
the complete worker configuration, custom rules are additionally read
from a "custom.d" directory now. Typically that directory will be filled
by mounting one or more ConfigMaps.
Signed-off-by: Marc Sluiter <msluiter@redhat.com>
This builds on the PCI support to enable the discovery of USB devices.
This is primarily intended to be used for the discovery of Edge-based
heterogeneous accelerators that are connected via USB, such as the Coral
USB Accelerator and the Intel NCS2 - our main motivation for adding this
capability to NFD, and as part of our work in the SODALITE H2020
project.
USB devices may define their base class at either the device or
interface levels. In the case where no device class is set, the
per-device interfaces are enumerated instead. USB devices may
furthermore have multiple interfaces, which may or may not use the
identical class across each interface. We therefore report device
existence for each unique class definition to enable more fine-grained
labelling and node selection.
The default labelling format includes the class, vendor and device
(product) IDs, as follows:
feature.node.kubernetes.io/usb-fe_1a6e_089a.present=true
As with PCI, a subset of device classes are whitelisted for matching.
By default, there are only a subset of device classes under which
accelerators tend to be mapped, which is used as the basis for
the whitelist. These are:
- Video
- Miscellaneous
- Application Specific
- Vendor Specific
For those interested in matching other classes, this may be extended
by using the UsbId rule provided through the custom source. A full
list of class codes is provided by the USB-IF at:
https://www.usb.org/defined-class-codes
For the moment, owing to a lack of a demonstrable use case, neither
the subclass nor the protocol information are exposed. If this
becomes necessary, support for these attributes can be trivially
added.
Signed-off-by: Paul Mundt <paul.mundt@adaptant.io>
- Implement the 'custom' feature source utilizing the
match rules implemented in previous commit.
- Add a static custom feature list for:
1. rdma.capable - marks a node where devices that support
RDMA are present.
2. rdma.enabled - marks a node where rdma modules have
been loaded.
A user may extend these features with additional match rules via
NFD configuration file.
- Add a Rule interface to help describe the contract
between a match rule and the Custom source that uses it.
- Add PciIdRule - a rule that matches on the PCI attributes:
class, vendor, device. Each is provided as a list of elements(strings).
Match operation: OR will be performed per element and AND will be
performed per attribute.
An empty attribute will not be included in the matching process.
Example:
{
"class": ["0200"]
"vendor": ["15b3"]
"device": ["1014", "1016"]
}
- Add LoadedKmodRule - a rule that matches a list of kernel
modules with the kernel modules currently loaded in the node.
Example:
{
["rdma_cm", "ib_core"]
}
