* Support new platform SN2201 and RJ45 port
Signed-off-by: Kebo Liu <kebol@nvidia.com>
* remove unused import and redundant function
Signed-off-by: Kebo Liu <kebol@nvidia.com>
* fix error introduced by rebase
Signed-off-by: Kebo Liu <kebol@nvidia.com>
* Revert the special handling of RJ45 ports (#56)
* Revert the special handling of RJ45 ports
sfp.py
sfp_event.py
chassis.py
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Remove deadcode
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Support CPLD update for SN2201
A new class is introduced, deriving from ComponentCPLD and overloading _install_firmware
Change _install_firmware from private (starting with __) to protected, making it overloadable
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Initialize component BIOS/CPLD
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Remove swb_amb which doesn't on DVT board any more
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Remove the unexisted sensor - switch board ambient - from platform.json
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Do not report error on receiving unknown status on RJ45 ports
Translate it to disconnect for RJ45 ports
Report error for xSFP ports
Signed-off-by: Stephen Sun <stephens@nvidia.com>
* Add reinit for RJ45 to avoid exception
Signed-off-by: Stephen Sun <stephens@nvidia.com>
Co-authored-by: Stephen Sun <5379172+stephenxs@users.noreply.github.com>
Co-authored-by: Stephen Sun <stephens@nvidia.com>
- Why I did it
Implement read_eeprom/write_eeprom API for Credo Y-cable for Dual ToR Active-Standby
- How I did it
Use mlxreg utility for API implementation
Signed-off-by: Andriy Yurkiv <ayurkiv@nvidia.com>
- Why I did it
Refactor SFP code to remove code duplication and to be able to use the latest features available in new APIs.
- How I did it
Refactor SFP code to remove code duplication and to be able to use the latest features available in new APIs.
- How to verify it
Run sonic-mgmt/platform_tests/sfp tests
- Why I did it
* To support systems with dynamic port configuration
* Apply lazy initialization to faster the speed of loading platform API
- How I did it
* Add module.py to implement dynamic port configuration (aka line card model)
* Adjust chassis.py, platform.py, thermal.py, sfp.py to support dynamic port configuration
* Optimize existing code
- How to verify it
Platform regression on MSN4700, MSN3800 and MSN2700, 100% pass
Unit test covers all new changes.
- Why I did it
Add NVIDIA Copyright header to "mellanox" files
- How I did it
Add NVIDIA Copyright header as a comment for Mellanox files
- How to verify it
Sanity tests and PR checkers.
#### Why I did it
Currently, SONiC use a single value to represent SFP error, however, multiple SFP errors could exist at the same time. This PR is aimed to support it
#### How I did it
Return bitmap instead of single value when a SFP event occurs
Signed-off-by: Stephen Sun <stephens@nvidia.com>
Originally, SFP modules were always accessed from platform daemons, and arbitrary SFP modules can be accessed in the daemon. So all SFP modules were initialized in one shot once one of the following chassis APIs called
- get_all_sfps
- get_sfp_numbers
- get_sfp
Recently, we noticed that SFP modules can also be accessed from CLI, eg. the latest refactor of `sfputil`.
In this case, only one SFP module is accessed in the chassis object's life cycle.
To initialize all SFP modules in one shot is waste of time and causes the CLI to take much more time to finish.
So we would like to optimize the initialization flow by introducing a two-phase initialization approach:
- Partial initialization, which means the `chassis._sfp_list` has been initialized with proper length and all elements being `None`
- Full initialization, which means all elements in `chassis._sfp_list` are created
If the relevant function is called,
- `get_sfp`, only partial initialization will be done, and then the specific SFP module is initialized.
- `get_all_sfps` or `get_num_sfps`, full initialization will be done, which means all SFP modules are initialized.
Signed-off-by: Stephen Sun <stephens@nvidia.com>
