| commit | c81d1129619fd484814e1e0bf89554219cd6eca5 | [log] [tgz] |
|---|---|---|
| author | Manojkiran Eda <manojkiran.eda@gmail.com> | Wed Feb 21 20:17:34 2024 +0530 |
| committer | ManojKiran Eda <manojkiran.eda@gmail.com> | Thu Feb 22 07:34:36 2024 +0000 |
| tree | 7aa6de753adaf0585954a7a8b0a9bb6bc8175880 | |
| parent | 819bb6f18b26e791fd88b7fa0d983e2827c641e5 [diff] |
skip creating effecter when its dbus isn't present In the current state, we attempt to create an effecter PDR even if the D-Bus object that is being modeled as an effecter is absent at the time of creation. However, this behavior may not be beneficial, as assuming that the D-Bus backend will magically appear later does not necessarily mean that we will be able to process it, we only process the JSON files during the first getPDR request. Therefore, it would be more efficient to skip creating the effecter in the absence of the D-Bus object. This commit also addresses an error trace by including the dbus object path when it is not present on the system, rather than the opaque effecter id number which does not provide contextual information and may make it harder to diagnose issues. Change-Id: I84239c75684f611b7985df027a93ba4531f783d0 Signed-off-by: Manojkiran Eda <manojkiran.eda@gmail.com>
Need meson and ninja. Alternatively, source an OpenBMC ARM/x86 SDK.
meson setup build && ninja -C build
The simplest way of running the tests is as described by the meson man page:
meson setup builddir && meson setup test -C builddir
Alternatively, tests can be run in the OpenBMC CI docker container, or with an OpenBMC x86 sdk(see below for x86 steps).
meson setup -Doe-sdk=enabled build ninja -C build test
pldm daemon accepts a command line argument --verbose or --v or -v to enable the daemon to run in verbose mode. It can be done via adding this option to the environment file that pldm service consumes.
echo 'PLDMD_ARGS="--verbose"' > /etc/default/pldmd systemctl restart pldmd
rm /etc/default/pldmd systemctl restart pldmd
At a high-level, code in this repository belongs to one of the following three components.
This library provides handlers for incoming PLDM request messages. It provides for a registration as well as a plug-in mechanism. The library is implemented in modern C++, and handles OpenBMC's platform specifics.
The handlers are of the form
Response handler(Request payload, size_t payloadLen)
Source files are named according to the PLDM Type, for eg base.[hpp/cpp], fru.[hpp/cpp], etc.
This will support OEM or vendor-specific functions and semantic information. Following directory structure has to be used:
pldm repo
|---- oem
|----<oem_name>
|----libpldmresponder
|---<oem based handler files>
<oem_name> - This folder must be created with the name of the OEM/vendor in lower case. Folders named libpldm and libpldmresponder must be created under the folder <oem_name>
Files having the oem functionality for the libpldmresponder library should be placed under the folder oem/<oem_name>/libpldmresponder. They must be adhering to the rules mentioned under the libpldmresponder section above.
Once the above is done a meson option has to be created in pldm/meson_options.txt with its mapped compiler flag to enable conditional compilation.
For consistency would recommend using "oem-<oem_name>".
The pldm/meson.build and the corresponding source file(s) will need to incorporate the logic of adding its mapped compiler flag to allow conditional compilation of the code.
pldm daemon links against the libpldm library during compilation, For more information on libpldm please refer to libpldm
For more information on pldmtool please refer to plmdtool/README.md.
This section documents important code flow paths.
a) PLDM daemon receives PLDM request message from underlying transport (MCTP).
b) PLDM daemon routes message to message handler, based on the PLDM command.
c) Message handler decodes request payload into various field(s) of the request message. It can make use of a decode_foo_req() API, and doesn't have to perform deserialization of the request payload by itself.
d) Message handler works with the request field(s) and generates response field(s).
e) Message handler prepares a response message. It can make use of an encode_foo_resp() API, and doesn't have to perform the serialization of the response field(s) by itself.
f) The PLDM daemon sends the response message prepared at step e) to the remote PLDM device.
a) A BMC PLDM requester app prepares a PLDM request message. There would be several requester apps (based on functionality/PLDM remote device). Each of them needn't bother with the serialization of request field(s), and can instead make use of an encode_foo_req() API.
b) BMC requester app requests PLDM daemon to send the request message to remote PLDM device.
c) Once the PLDM daemon receives a corresponding response message, it notifies the requester app.
d) The requester app has to work with the response field(s). It can make use of a decode_foo_resp() API to deserialize the response message.
While PLDM Platform Descriptor Records (PDRs) are mostly static information, they can vary across platforms and systems. For this reason, platform specific PDR information is encoded in platform specific JSON files. JSON files must be named based on the PDR type number. For example a state effecter PDR JSON file will be named 11.json. The JSON files may also include information to enable additional processing (apart from PDR creation) for specific PDR types, for eg mapping an effecter id to a D-Bus object.
The PLDM responder implementation finds and parses PDR JSON files to create the PDR repository. Platform specific PDR modifications would likely just result in JSON updates. New PDR type support would require JSON updates as well as PDR generation code. The PDR generator is a map of PDR Type -> C++ lambda to create PDR entries for that type based on the JSON, and to update the central PDR repo.