#!/usr/bin/env bash
# Foreground EasyCom F1 plus F5/F6 screening experiments.
# Usage: bash run_easycom_person_fusion_screening.sh [all|f1|f5-screen|f6-screen] [seed ...]
set -euo pipefail
cd "$(dirname "$0")"

FEATURE_ROOT=${FEATURE_ROOT:-/data1/yfzx/wangx/Datasets/easycom/omni_features/open_stream_2fps_8s_last4_stack}
TARGET_ROOT=${TARGET_ROOT:-/data1/yfzx/wangx/Datasets/easycom/easycom_target_frame}
LOCAL_ROOT=${LOCAL_ROOT:-/data1/yfzx/wangx/Datasets/easycom/omni_features/local_qwen_1s_encoded_tf4576}
CHECKPOINT_ROOT=${CHECKPOINT_ROOT:-checkpoints/easycom_person_fusion_screening}
RESULT_ROOT=${RESULT_ROOT:-results/easycom_person_fusion_screening}
EPOCHS=${EPOCHS:-4}
WARMUP_EPOCHS=${WARMUP_EPOCHS:-1.6}
LOCAL_PROJECTION_DIM=${LOCAL_PROJECTION_DIM:-256}
PERSON_ATTENTION_DIM=${PERSON_ATTENTION_DIM:-256}
PERSON_ATTENTION_HEADS=${PERSON_ATTENTION_HEADS:-4}
SUMMARIZE=${SUMMARIZE:-1}
export OMP_NUM_THREADS=${OMP_NUM_THREADS:-4}
export MKL_NUM_THREADS=${MKL_NUM_THREADS:-4}
export OPENBLAS_NUM_THREADS=${OPENBLAS_NUM_THREADS:-4}

variant=${1:-all}
if (( $# )); then shift; fi
if (( $# )); then seeds=("$@"); else seeds=(0 1 2); fi
case "$variant" in
  all) variants=(f1 f5-screen f6-screen) ;;
  f1|f5-screen|f6-screen) variants=("$variant") ;;
  *) echo "Expected all, f1, f5-screen, or f6-screen" >&2; exit 2 ;;
esac

mkdir -p "$CHECKPOINT_ROOT" "$RESULT_ROOT"

for variant in "${variants[@]}"; do
  case "$variant" in
    f1) fusion=frame-set-attention ;;
    f5-screen) fusion=audio-person-frame-set ;;
    f6-screen) fusion=gated-person-state-adapter ;;
  esac
  for seed in "${seeds[@]}"; do
    checkpoint="$CHECKPOINT_ROOT/${variant}_seed${seed}.pth"
    result="$RESULT_ROOT/${variant}_seed${seed}"
    if [[ -e "$checkpoint" || -e "$result/metrics.json" ]]; then
      echo "Refusing to overwrite $checkpoint or $result; select new output roots." >&2
      exit 1
    fi
    echo "Training ${variant} (${fusion}), seed=${seed}"
    python train_turn_head.py \
      --feature-root "$FEATURE_ROOT" \
      --target-root "$TARGET_ROOT" \
      --local-feature-root "$LOCAL_ROOT" \
      --local-modalities av \
      --local-fusion "$fusion" \
      --local-projection-dim "$LOCAL_PROJECTION_DIM" \
      --person-attention-dim "$PERSON_ATTENTION_DIM" \
      --person-attention-heads "$PERSON_ATTENTION_HEADS" \
      --output "$checkpoint" \
      --sessions 4 5 6 7 8 9 10 11 12 \
      --dev-sessions 12 \
      --epochs "$EPOCHS" \
      --batch-size 512 \
      --learning-rate 7e-5 \
      --weight-decay 5e-5 \
      --warmup-epochs "$WARMUP_EPOCHS" \
      --warmup-factor 0.3 \
      --dropout 0.2 \
      --loss lstr-mce \
      --transition-objective none \
      --layer-fusion concat-mlp \
      --expected-mode open-stream-replay \
      --seed "$seed" \
      --device cuda:0

    echo "Inferring ${variant}, seed=${seed}"
    python infer_turn_head.py \
      --feature-root "$FEATURE_ROOT" \
      --target-root "$TARGET_ROOT" \
      --local-feature-root "$LOCAL_ROOT" \
      --checkpoint "$checkpoint" \
      --output-dir "$result" \
      --sessions 3 2 1 \
      --expected-mode open-stream-replay \
      --device cuda:0
  done
done

if [[ "$SUMMARIZE" == 1 ]]; then
  python summarize_local_baselines.py \
    --root "$RESULT_ROOT" \
    --dataset easycom \
    --protocol causal_valid_only
fi