Feat: Added gRPC based Cellular Parser#160
Merged
mridul2004 merged 14 commits intomainfrom Jan 21, 2026
Merged
Conversation
Removed SG_ MPPTPCACTIVE signal from brightside.dbc.
EvanO12
requested changes
Jan 20, 2026
EvanO12
left a comment
There was a problem hiding this comment.
Mostly looks good. Please write a short section in the readme on how to use the gRPC parser OR at least link to the other readme in sunlite.
scripts/DATA.csv
Outdated
There was a problem hiding this comment.
Please remove DATA.csv. .CSV should probably get added to the .gitignore.
Added detailed instructions for the cellular parser setup.
EvanO12
approved these changes
Jan 21, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Sunlink Pull Request Description
Adds the bay computer cellular_parser service for the gRPC cellular telemetry pipeline. The parser runs a gRPC server (UploadFrames) to receive streamed FrameBatches from the Raspberry Pi, decodes raw CAN frames using the DBC, converts decoded signals into InfluxDB points with appropriate tags/fields/timestamps, writes to InfluxDB with batching/compression/retries, and returns an acknowledgment with the number of frames ingested. The instructions for the set-up are on sunlite readme.
Monday Link
[]
Effected Components
Testing
Sanity check
Sources