Skip to content

Reuse already serialized data in TrainBuffer - #370

Closed
ernstleierzopf wants to merge 6 commits into
mainfrom
fix/train-buffer
Closed

ernstleierzopf wants to merge 6 commits into
mainfrom
fix/train-buffer

Conversation

@ernstleierzopf

@ernstleierzopf ernstleierzopf commented Oct 17, 2026 •

Copy link
Copy Markdown
Contributor

Task

Fixes #47

Description

How Has This Been Tested?

Checklist

  • This Pull-Request goes to the development branch.
  • I have successfully run prek locally.
  • I have added tests to cover my changes.
  • I have linked the issue-id to the task-description.
  • I have performed a self-review of my own code.

View with [code]smith Autofix with [code]smith
Need help on this PR? Tag @codesmith-bot with what you need.

viktorbeck98 and others added 6 commits October 12, 2026 23:36
EventID -> eventID, logFormatVariables -> headerVariables, alertsObtain -> alertDetails, extractedTimestamps -> logTimestamps, detectionTimestamp -> detectedTimestamp, outputTimestamp -> aggregatedTimestamp, __version__ -> schemaVersion. Field numbers and types are unchanged, so the binary wire format stays. Breaking: no aliases for the old names.

Refs #127

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Reverts the __version__ -> schemaVersion part of the rename. The schema version value stays at 2.0.0 for the other six renames.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Apply the field rename to code that came in with development
(alert aggregation templates, alerts.json fixture, basic_concat).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
@ernstleierzopf
ernstleierzopf marked this pull request as draft October 17, 2026 16:20
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

Add a smart storage logic to enable configuration and training to use the same data

2 participants