113 lines
5.1 KiB
Bash
113 lines
5.1 KiB
Bash
#!/bin/bash
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# ==============================================================================================
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# =============================== LIDARR DISCOVERY =============================================
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# ==============================================================================================
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# Lidarr discovery orchestrator.
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#
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# Consumes:
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# Kernel/decision_engine.sh
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#
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# Purpose:
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# Discover high-quality artists/albums for acquisition using
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# family-aware and behavior-driven scoring logic.
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#
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# This script is intentionally selective.
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#
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# Music discovery is treated differently than TV/movies:
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#
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# Higher strictness
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# Stronger quality bias
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# Lower tolerance for trend chasing
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# Longer behavioral memory
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#
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# ==============================================================================================
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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ROOT_DIR="$(dirname "$(dirname "$SCRIPT_DIR")")"
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source "$ROOT_DIR/load_config.sh"
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source "$ROOT_DIR/Kernel/decision_engine.sh"
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# ==============================================================================================
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# ── CONFIG ────────────────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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DISCOVERY_THRESHOLD=70
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# ==============================================================================================
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# ── EXAMPLE CANDIDATE ─────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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#
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# Real implementation would pull:
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#
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# Last.fm
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# Trakt-style behavior history
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# Lidarr metadata
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# User weighting
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# Genre affinity
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# Temporal activity
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#
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# ==============================================================================================
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ARTIST_NAME="Example Artist"
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USER_SCORE=35
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POPULARITY_SCORE=15
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RECENCY_SCORE=10
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QUALITY_SCORE=20
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# ==============================================================================================
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# ── SCORING ───────────────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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TOTAL_SCORE=$(score_candidate \
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"$USER_SCORE" \
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"$POPULARITY_SCORE" \
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"$RECENCY_SCORE" \
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"$QUALITY_SCORE"
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)
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# ==============================================================================================
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# ── DECISION ──────────────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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DECISION=$(make_decision "$TOTAL_SCORE" "$DISCOVERY_THRESHOLD")
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# ==============================================================================================
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# ── OUTPUT ────────────────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "🎵 Lidarr Discovery Candidate"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "Artist: $ARTIST_NAME"
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echo "Score : $TOTAL_SCORE"
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echo "Result: $DECISION"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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# ==============================================================================================
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# ── ACTION ────────────────────────────────────────────────────────────────────────────────────
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# ==============================================================================================
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#
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# Real implementation would:
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#
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# Add artist to Lidarr
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# Queue search
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# Log decision
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# Record scoring metadata
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# Update history state
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#
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# ==============================================================================================
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if [[ "$DECISION" == "ACCEPT" ]]; then
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echo "Adding artist to Lidarr..."
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# future:
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# curl -X POST "$LIDARR_URL/api/v1/artist"
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else
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echo "Candidate rejected."
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fi |