#!/usr/bin/env bash
# Full SIFQ evaluation pipeline — verify SOTA claim
#
# What this script does:
#   Step 1: Run SIFQ inference → Q scores for all test images
#   Step 2: Compute Track 1 (ERC), Track 2 (Sensor invariance), Track 4 (Concept grounding)
#   Step 3: Print summary table + save plots to eval_results/
#
# SOTA claim requires:
#   Track 1: AUC_ERC(SIFQ) < AUC_ERC(NFIQ2)           → better matcher utility
#   Track 2: mean_KS(SIFQ) < mean_KS(NFIQ2)             → sensor-invariant
#            cross_sensor_pearson(SIFQ) > pearson(NFIQ2) → consistent cross-sensor
#
# Usage:
#   bash scripts/run_eval.sh --checkpoint checkpoints_full/last.pt
#   bash scripts/run_eval.sh --checkpoint checkpoints_full/last.pt --nfiq2-scores /tmp/nfiq2.jsonl
#   bash scripts/run_eval.sh ... --skip-track1   # fast eval (no MDGT inference)
set -euo pipefail

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT="$(cd "$SCRIPT_DIR/.." && pwd)"
VENV="$ROOT/../.venv"
[[ -f "$VENV/bin/activate" ]] && source "$VENV/bin/activate"

# ── Defaults ──────────────────────────────────────────────────────────────────
CHECKPOINT="${CHECKPOINT:-$ROOT/checkpoints_full/last.pt}"
MDGT_CKPT="${MDGT_CKPT:-/home/aiserver/works/fingerprint/pad/TRAM-downstream/checkpoint/checkpoints_dinov2_tram/best_eer.pt}"
ROOT_302B="${ROOT_302B:-/home/aiserver/works/fingerprint/dataset/302b/images/baseline}"
ROOT_302D="${ROOT_302D:-/home/aiserver/works/fingerprint/dataset/nist_302d/images/auxiliary}"
SCORES_FILE="${SCORES_FILE:-$ROOT/eval_results/sifq_scores.jsonl}"
OUT_DIR="${OUT_DIR:-$ROOT/eval_results}"
NFIQ2_SCORES="${NFIQ2_SCORES:-}"
MAX_SAMPLES="${MAX_SAMPLES:--1}"   # -1 = all images
MAX_PAIRS="${MAX_PAIRS:-5000}"
SKIP_TRACK1=0
SKIP_TRACK4=0

# ── Parse extra args ──────────────────────────────────────────────────────────
while [[ $# -gt 0 ]]; do
  case "$1" in
    --checkpoint)   CHECKPOINT="$2"; shift 2 ;;
    --nfiq2-scores) NFIQ2_SCORES="$2"; shift 2 ;;
    --out-dir)      OUT_DIR="$2"; shift 2 ;;
    --max-samples)  MAX_SAMPLES="$2"; shift 2 ;;
    --skip-track1)  SKIP_TRACK1=1; shift ;;
    --skip-track4)  SKIP_TRACK4=1; shift ;;
    *) echo "Unknown arg: $1"; exit 1 ;;
  esac
done

mkdir -p "$OUT_DIR"
SCORES_FILE="$OUT_DIR/sifq_scores.jsonl"

echo "============================================================"
echo "SIFQ Evaluation Pipeline"
echo "  Checkpoint : $CHECKPOINT"
echo "  MDGT       : $MDGT_CKPT"
echo "  Output dir : $OUT_DIR"
echo "============================================================"

# ── Step 1: Inference ─────────────────────────────────────────────────────────
echo ""
echo "[Step 1/2] Running SIFQ inference..."
python "$SCRIPT_DIR/run_infer.py" \
  --checkpoint   "$CHECKPOINT" \
  --root-302b    "$ROOT_302B" \
  --root-302d    "$ROOT_302D" \
  --output       "$SCORES_FILE" \
  --max-samples  "$MAX_SAMPLES" \
  --num-workers  2

echo ""
echo "[Step 2/2] Running evaluation (Track 1, 2, 4)..."

EXTRA_ARGS=""
[[ $SKIP_TRACK1 -eq 1 ]] && EXTRA_ARGS="$EXTRA_ARGS --skip-track1"
[[ $SKIP_TRACK4 -eq 1 ]] && EXTRA_ARGS="$EXTRA_ARGS --skip-track4"
[[ -n "$NFIQ2_SCORES" ]] && EXTRA_ARGS="$EXTRA_ARGS --nfiq2-scores $NFIQ2_SCORES"

python "$SCRIPT_DIR/run_eval.py" \
  --sifq-scores     "$SCORES_FILE" \
  --checkpoint      "$CHECKPOINT" \
  --mdgt-checkpoint "$MDGT_CKPT" \
  --out-dir         "$OUT_DIR" \
  --max-pairs       "$MAX_PAIRS" \
  $EXTRA_ARGS

echo ""
echo "Done. Results in: $OUT_DIR"
echo "  eval_summary.json   — numbers for all tracks"
echo "  plot_erc.png        — Track 1 ERC curve"
echo "  plot_sensor_hist.png — Track 2 quality distribution per sensor"
echo "  plot_sensor_scatter.png — Track 2 cross-sensor scatter"
echo "  plot_crosstalk.png  — Track 4 concept grounding heatmap"