Yusuf Suleman 63123c187c
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fix: scroll mark-as-read — delta filter and threshold tuned from logs
EVIDENCE (from xcode.txt):
- down=false ALWAYS: per-entry deltas are ~1-2pt per callback,
  but filter required >2pt. Every delta was rejected.
- cumDown stuck at 129: threshold was max(100, 956*0.2) = 191.
  With most deltas rejected, cumulative barely grew.

FIXES:
1. Delta filter: >2pt → >0.5pt for direction detection.
   Cumulative accumulation accepts any delta >0 (no filter).
   Per-entry callbacks deliver small deltas — filtering at 2pt
   discarded virtually all genuine scroll events.

2. Threshold: removed 20% viewport scaling, fixed at 100pt.
   The scaling made sense for a global offset tracker (large
   deltas), not per-entry tracking (small deltas).

Removed debug logging.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-04 00:14:31 -05:00

Gitea CI Workflows

security.yml

Runs on push/PR to master. Three jobs:

  1. dependency-auditnpm audit --audit-level=high for budget and frontend
  2. secret-scanning — checks for tracked .env/.db files and hardcoded secret patterns
  3. dockerfile-lint — verifies all Dockerfiles have USER (non-root) and HEALTHCHECK

Runner Setup

The runner is configured in the Gitea docker-compose at /media/yusiboyz/Media/Scripts/gitea/docker-compose.yml.

What was done:

  1. Added [actions] ENABLED = true to Gitea's app.ini
  2. Added runner service (gitea/act_runner) to Gitea's docker-compose
  3. Generated runner token via docker exec -u git gitea gitea actions generate-runner-token
  4. Token stored in /media/yusiboyz/Media/Scripts/gitea/.env as RUNNER_TOKEN
  5. Runner registered as platform-runner with labels: ubuntu-latest, ubuntu-24.04, ubuntu-22.04

To regenerate token (if needed):

cd /media/yusiboyz/Media/Scripts/gitea
docker exec -u git gitea gitea actions generate-runner-token
# Update .env with new RUNNER_TOKEN value
docker compose up -d runner

To check runner status:

docker logs gitea-runner
Description
Second Brain Platform - Dashboard, Fitness, Budget, Inventory, Trips, Reader, Media
Readme 31 MiB
Languages
Svelte 51.2%
Python 24.2%
Swift 13.5%
JavaScript 5.4%
TypeScript 3.3%
Other 2.4%