#!/bin/bash
# ==============================================================================================
# =========================== Playback-Aware Lidarr Discovery ==================================
# ==============================================================================================
#
# PURPOSE
# ─────────────────────────────────────────────────────────────────────────────
# Behavior-driven music discovery scoring prototype. Consumes
# Kernel/decision_engine.sh to score artist/album candidates for acquisition
# using family-aware and playback-weighted logic.
#
# WIP — not yet connected to a live data source or scheduled. Discovery logic
# is intentionally selective: higher strictness, stronger quality bias, lower
# tolerance for trend-chasing, longer behavioral memory than TV/movies.
#
# ==============================================================================================

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(dirname "$(dirname "$SCRIPT_DIR")")"

source "$ROOT_DIR/load_config.sh"
source "$ROOT_DIR/Kernel/decision_engine.sh"

# ==============================================================================================
# ── CONFIG ────────────────────────────────────────────────────────────────────────────────────
# ==============================================================================================

DISCOVERY_THRESHOLD=70

# ==============================================================================================
# ── EXAMPLE CANDIDATE ─────────────────────────────────────────────────────────────────────────
# ==============================================================================================
#
# Real implementation would pull:
#
#   Last.fm
#   Trakt-style behavior history
#   Lidarr metadata
#   User weighting
#   Genre affinity
#   Temporal activity
#
# ==============================================================================================

ARTIST_NAME="Example Artist"

USER_SCORE=35
POPULARITY_SCORE=15
RECENCY_SCORE=10
QUALITY_SCORE=20

# ==============================================================================================
# ── SCORING ───────────────────────────────────────────────────────────────────────────────────
# ==============================================================================================

TOTAL_SCORE=$(score_candidate \
    "$USER_SCORE" \
    "$POPULARITY_SCORE" \
    "$RECENCY_SCORE" \
    "$QUALITY_SCORE"
)

# ==============================================================================================
# ── DECISION ──────────────────────────────────────────────────────────────────────────────────
# ==============================================================================================

DECISION=$(make_decision "$TOTAL_SCORE" "$DISCOVERY_THRESHOLD")

# ==============================================================================================
# ── OUTPUT ────────────────────────────────────────────────────────────────────────────────────
# ==============================================================================================

echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo "🎵 Lidarr Discovery Candidate"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo "Artist: $ARTIST_NAME"
echo "Score : $TOTAL_SCORE"
echo "Result: $DECISION"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"

# ==============================================================================================
# ── ACTION ────────────────────────────────────────────────────────────────────────────────────
# ==============================================================================================
#
# Real implementation would:
#
#   Add artist to Lidarr
#   Queue search
#   Log decision
#   Record scoring metadata
#   Update history state
#
# ==============================================================================================

if [[ "$DECISION" == "ACCEPT" ]]; then

    echo "Adding artist to Lidarr..."
    
    # future:
    # curl -X POST "$LIDARR_URL/api/v1/artist"
    
else

    echo "Candidate rejected."

fi