#!/bin/bash
# ============================================================================
# ASR 评估脚本 —— RL 合并模型（无 LoRA，无检索）
#
# 用法：
#   bash run_eval_rl_model.sh
#
# 常用环境变量：
#   ASR_BASE_MODEL          待评估的合并模型路径（默认: asr_rl_merged_step561）
#   ASR_TEST_FILE           测试集路径
#   ASR_DEVICE              cuda / cpu / auto（默认: cuda）
#   ASR_CUDA_VISIBLE_DEVICES
#   ASR_CONDA_ENV           conda 环境名（默认: verl）
#   ASR_MAX_SAMPLES         限制评估样本数（调试用）
#   ASR_SAVE_ROOT           输出根目录
# ============================================================================

set -eo pipefail
set -x

echo "=========================================="
echo "ASR 评估（RL 合并模型，无 LoRA，无检索）"
echo "=========================================="

SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
BASE_DIR="${ASR_BASE_DIR:-${SCRIPT_DIR}}"

if [ ! -f "${BASE_DIR}/evaluate_model.py" ]; then
    echo "ERROR: evaluate_model.py not found under ${BASE_DIR}"
    exit 1
fi

# conda 激活
CONDA_ENV="${ASR_CONDA_ENV:-verl}"
if [ "${CONDA_ENV}" != "none" ]; then
    CONDA_SH=""
    for c in \
        "/root/miniconda3/etc/profile.d/conda.sh" \
        "${HOME}/miniconda3/etc/profile.d/conda.sh" \
        "/opt/conda/etc/profile.d/conda.sh"; do
        if [ -f "${c}" ]; then
            CONDA_SH="${c}"
            break
        fi
    done

    if [ -n "${CONDA_SH}" ]; then
        source "${CONDA_SH}"
        conda activate "${CONDA_ENV}" || { echo "ERROR: conda activate ${CONDA_ENV} failed"; exit 1; }
    else
        echo "WARNING: conda.sh not found, skip conda activation."
    fi
fi

PYTHON_BIN="${ASR_PYTHON:-python}"
DEVICE="${ASR_DEVICE:-cuda}"
SAVE_ROOT="${ASR_SAVE_ROOT:-./asr/check}"

# 默认评估最新的 RL 合并模型
BASE_MODEL="${ASR_BASE_MODEL:-${SAVE_ROOT}/asr_rl_merged_step561}"

# 测试集
if [ -n "${ASR_TEST_FILE:-}" ]; then
    TEST_FILE="${ASR_TEST_FILE}"
elif [ -f "${BASE_DIR}/train_data_v4/test_real_asr.jsonl" ]; then
    TEST_FILE="${BASE_DIR}/train_data_v4/test_real_asr.jsonl"
else
    TEST_FILE="${BASE_DIR}/train_data_v3/test_real_asr.jsonl"
fi

if [ -n "${ASR_CUDA_VISIBLE_DEVICES:-}" ]; then
    export CUDA_VISIBLE_DEVICES="${ASR_CUDA_VISIBLE_DEVICES}"
fi

TIMESTAMP="$(date +%Y%m%d_%H%M%S)"
OUTPUT_ROOT="${ASR_OUTPUT_ROOT:-${SAVE_ROOT}}"
LOG_DIR="${ASR_LOG_DIR:-${OUTPUT_ROOT}/logs}"
OUTPUT_DIR="${OUTPUT_ROOT}/asr_rl_eval_${TIMESTAMP}"
OUTPUT_FILE="${OUTPUT_DIR}/evaluation_results.jsonl"
LOG_FILE="${LOG_DIR}/eval_rl_${TIMESTAMP}.log"

mkdir -p "${OUTPUT_DIR}" "${LOG_DIR}"

# 检查路径
if [ ! -d "${BASE_MODEL}" ]; then
    echo "ERROR: model not found: ${BASE_MODEL}"
    echo "  先运行合并命令："
    echo "  source activate verl && cd /mnt/shared-storage-user/xukunpeng1/verl"
    echo "  python -m verl.model_merger merge --backend fsdp \\"
    echo "    --local_dir <checkpoint>/actor \\"
    echo "    --target_dir ${BASE_MODEL}"
    exit 1
fi

if [ ! -f "${TEST_FILE}" ]; then
    echo "ERROR: test file not found: ${TEST_FILE}"
    exit 1
fi

echo "Model:       ${BASE_MODEL}"
echo "Device:      ${DEVICE}"
echo "Test file:   ${TEST_FILE}"
echo "Output file: ${OUTPUT_FILE}"
echo "Log file:    ${LOG_FILE}"

if command -v nvidia-smi >/dev/null 2>&1; then
    nvidia-smi --query-gpu=name,memory.total --format=csv,noheader || true
fi

CMD=(
    "${PYTHON_BIN}" "${BASE_DIR}/evaluate_model.py"
    --base_model "${BASE_MODEL}"
    --lora_path ""
    --test_file "${TEST_FILE}"
    --output_file "${OUTPUT_FILE}"
    --device "${DEVICE}"
)

if [ -n "${ASR_MAX_SAMPLES:-}" ]; then
    CMD+=(--max_samples "${ASR_MAX_SAMPLES}")
fi

# 支持追加额外参数
if [ "$#" -gt 0 ]; then
    CMD+=("$@")
fi

set +e
"${CMD[@]}" 2>&1 | tee "${LOG_FILE}"
EXIT_CODE=${PIPESTATUS[0]}
set -e

echo ""
echo "=========================================="
echo "评估完成"
echo "Exit code:   ${EXIT_CODE}"
echo "Result file: ${OUTPUT_FILE}"
echo "Log file:    ${LOG_FILE}"
echo "=========================================="

exit "${EXIT_CODE}"