github menottim/splintarr v0.3.0
v0.3.0 — Search Intelligence

latest releases: v1.3.2, v1.3.1, v1.3.0...
one month ago

What's New: Search Intelligence

The core differentiator — making searches smarter, not just scheduled.

Adaptive Search Prioritization (PR #78)

  • Scoring engine: items scored 0-100 based on recency, search history, and time since last search
  • Strategy-aware weights: Missing favors recently aired content; Cutoff Unmet spreads searches over time
  • Per-queue batch limits: max_items_per_run (default 50) ensures only highest-priority items are searched
  • Transparent: score and reason visible in search logs

Search Cooldown Intelligence (PR #79)

  • Tiered cooldowns: 6h for <24h old content, 12h for <7d, 24h for <30d, 72h for <1y, 7d for >1y
  • Exponential backoff: each search with no grab doubles the cooldown (capped at 14 days)
  • Persistent: cooldowns stored in DB, survive restarts (replaces volatile in-memory dict)
  • Per-queue configurable: adaptive (default) or flat mode with custom hours

Search Result Feedback Loop (PR #80)

  • Grab detection: polls command statuses 15 minutes after search to detect successful downloads
  • Learning: feed grab data back into scoring and cooldown calculations
  • Dashboard metric: grab rate (successful grabs / searches triggered)

Search Intelligence UI (PR #81)

  • Score + reason in search log entries on queue detail page
  • Search stats on library detail page (attempts, grabs, last searched)
  • Cooldown mode and max items config in Create Queue modal
  • Grab rate metric on dashboard

Stats

  • 99 new tests (19 library scoring + 41 scoring engine + 29 cooldown + 10 feedback)
  • 4 PRs, stacked and merged in order
  • 5 new service modules: scoring.py, cooldown.py, feedback.py

Full Changelog

v0.2.1...v0.3.0

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