#!/bin/bash # ============================================================================================== # ================================= Decision Engine ============================================ # ============================================================================================== # # PURPOSE # ───────────────────────────────────────────────────────────────────────────── # Behavior-driven scoring kernel for media automation. Sourced by consumer # scripts — not run directly. Evaluates candidates, applies weighted scoring, # temporal decay, and deduplication, then returns a verdict. # # Does NOT download media, search indexers, or manage applications. Has no # side effects — no file writes, no API calls, no deletions. # # Currently paired with: Media/playback_aware_lidarr_discovery.sh # # ============================================================================================== # DESIGN PRINCIPLES # ============================================================================================== # # Domain-Agnostic Core # The engine itself has no knowledge of music vs TV vs movies. Consumers # define thresholds, weights, and strictness profiles — the engine just # scores and decides. This prevents cross-domain bias pollution: music # strictness cannot contaminate TV intake logic. # # Lidarr consumers → highly selective, quality-first discovery # Sonarr consumers → balanced, family-aware episodic intake # Radarr consumers → broader flexibility with intelligent filtering # # Temporal Decay # Old behavioral signals lose influence over time (one decay unit per 30 # days). Prevents permanent genre lock-in, historical bias accumulation, # and dead-user score dominance. # # Consumer Owns the Decision # The engine returns ACCEPT/REJECT/SCORE. What happens next is entirely # the consumer's concern — the engine never acts on its own verdict. # # ============================================================================================== # FUNCTIONS # ============================================================================================== # # score_candidate user_score popularity_score recency_score quality_score # Returns TOTAL_SCORE (integer sum). Consumer defines actual weight values. # # evaluate_threshold score minimum # Returns 0 (pass) or 1 (fail). Used as: if evaluate_threshold ... # # apply_temporal_decay score age_days # Returns adjusted score. Subtracts (age_days / 30), floor at 0. # # is_duplicate_candidate candidate history_file # Returns 0 (duplicate found in history_file) or 1 (not found). # # make_decision score threshold # Returns "ACCEPT" or "REJECT". Calls evaluate_threshold internally. # # ============================================================================================== # ── score_candidate ─────────────────────────────────────────────────────────── score_candidate() { local user_score="${1:-0}" local popularity_score="${2:-0}" local recency_score="${3:-0}" local quality_score="${4:-0}" TOTAL_SCORE=$(( \ user_score + \ popularity_score + \ recency_score + \ quality_score \ )) echo "$TOTAL_SCORE" } # ── evaluate_threshold ─────────────────────────────────────────────────────── evaluate_threshold() { local score="$1" local minimum="$2" if (( score >= minimum )); then return 0 fi return 1 } # ── apply_temporal_decay ───────────────────────────────────────────────────── apply_temporal_decay() { local score="$1" local age_days="$2" local decay=$(( age_days / 30 )) local adjusted=$(( score - decay )) (( adjusted < 0 )) && adjusted=0 echo "$adjusted" } # ── is_duplicate_candidate ─────────────────────────────────────────────────── is_duplicate_candidate() { local candidate="$1" local history_file="$2" grep -qi "^${candidate}$" "$history_file" 2>/dev/null } # ── make_decision ───────────────────────────────────────────────────────────── make_decision() { local score="$1" local threshold="$2" if evaluate_threshold "$score" "$threshold"; then echo "ACCEPT" else echo "REJECT" fi }