feat: search loop scoring integration & tiered cooldowns#79
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menottim wants to merge 3 commits intofeat/search-scoringfrom
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feat: search loop scoring integration & tiered cooldowns#79menottim wants to merge 3 commits intofeat/search-scoringfrom
menottim wants to merge 3 commits intofeat/search-scoringfrom
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Implement cooldown.py with adaptive and flat cooldown modes for search items. Adaptive mode uses content age to determine base cooldown (6h for <24h old, up to 7d for >1yr old) with exponential backoff on consecutive failures, capped at 14 days. Flat mode uses a fixed configurable period. Includes 29 unit tests covering all tiers, backoff, cap, and edge cases. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Refactor _search_paginated_records to use intelligent search ordering: 1. Fetch ALL pages into a flat list via new _fetch_all_records helper 2. Batch-load LibraryItem data from DB via _load_library_items 3. Score each item using compute_score() from the scoring engine 4. Sort by score descending (highest priority items first) 5. Filter out excluded and cooldown items 6. Truncate to queue.max_items_per_run 7. Search remaining items, updating LibraryItem.search_attempts Replace in-memory cooldown dict with DB-backed tiered cooldowns from the cooldown service. Search log entries now include score, score_reason, item_id, and series_id for better observability. Update existing tests to work with the new flow (ExclusionService mock, library item loading, queue config attributes). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
items_evaluated = total records from API (before filtering) items_searched = items that passed scoring/filtering and were searched Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
New files
src/splintarr/services/cooldown.py— tiered cooldown enginetests/unit/test_cooldown.py— 29 testsTest plan
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