Skip to content

Move stats/timeline bucketing and incident correlation counts to SQL aggregation#109

Closed
Copilot wants to merge 3 commits into
mainfrom
copilot/fix-stats-timeseries-log-loading
Closed

Move stats/timeline bucketing and incident correlation counts to SQL aggregation#109
Copilot wants to merge 3 commits into
mainfrom
copilot/fix-stats-timeseries-log-loading

Conversation

Copy link
Copy Markdown
Contributor

Copilot AI commented May 12, 2026 •
edited
Loading

  • Inspect recent GitHub Actions workflow runs for this branch and identify failing jobs
  • Retrieve failing job logs and determine root cause
  • Implement minimal fix (if code-related) and run targeted validation locally
  • Re-run relevant local checks to confirm CI parity
  • Commit/push fix and reply on the PR comment with the commit hash

Copilot AI linked an issue May 12, 2026 that may be closed by this pull request
[MEDIUM] Stats/timeseries and incident detail load all logs into memory (no SQL aggregation) #63
Closed
Copilot AI changed the title [WIP] Fix stats/timeseries and incident detail log loading method Move stats/timeline bucketing and incident correlation counts to SQL aggregation May 12, 2026
Copilot AI requested a review from Divkix May 12, 2026 04:31
Copilot finished work on behalf of Divkix May 12, 2026 04:31
@Divkix
Copy link
Copy Markdown
Owner

Divkix commented May 12, 2026

@copilot ci failed

@Divkix
Changes before error encountered
33dca4c 
Agent-Logs-Url: https://github.com/Divkix/Logwell/sessions/6bb31517-d6f8-4143-95d6-58f0ddd0bb20

Co-authored-by: Divkix <23524935+Divkix@users.noreply.github.com>
@Divkix Divkix closed this May 14, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@Divkix Divkix Awaiting requested review from Divkix

Assignees

@Divkix Divkix

Copilot code review Copilot

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

[MEDIUM] Stats/timeseries and incident detail load all logs into memory (no SQL aggregation)

2 participants

@Divkix