#!/usr/bin/env bash
# 预下载 Faster-Whisper 模型（HF 镜像，内网服务器离线可用）
# 用法: bash scripts/download_whisper_models.sh [tiny|base|small|medium|large-v3]
set -euo pipefail

ROOT="$(cd "$(dirname "$0")/.." && pwd)"
SIZE="${1:-small}"
VENV_PY="${ROOT}/venv/bin/python"
MODEL_DIR="${WHISPER_MODEL_DIR:-${ROOT}/models/whisper}/${SIZE}"

export HF_ENDPOINT="${HF_ENDPOINT:-https://hf-mirror.com}"
export HF_HUB_DOWNLOAD_TIMEOUT="${HF_HUB_DOWNLOAD_TIMEOUT:-600}"
export HF_HOME="${HF_HOME:-${ROOT}/models/hf_cache}"
export MODEL_DIR
export WHISPER_SIZE="${SIZE}"

echo "[INFO] Whisper 模型: ${SIZE}"
echo "[INFO] 保存目录: ${MODEL_DIR}"
echo "[INFO] HF 镜像: ${HF_ENDPOINT}"

if [[ ! -x "${VENV_PY}" ]]; then
  echo "[ERROR] 未找到 venv，请先 bash deploy.sh deps"
  exit 1
fi

"${VENV_PY}" -m pip install -q huggingface_hub

"${VENV_PY}" << 'PY'
import os
from pathlib import Path
from huggingface_hub import snapshot_download

size = os.environ["WHISPER_SIZE"]
repos = {
    "tiny": "Systran/faster-whisper-tiny",
    "base": "Systran/faster-whisper-base",
    "small": "Systran/faster-whisper-small",
    "medium": "Systran/faster-whisper-medium",
    "large-v2": "Systran/faster-whisper-large-v2",
    "large-v3": "Systran/faster-whisper-large-v3",
}
repo = repos.get(size)
if not repo:
    raise SystemExit(f"未知模型尺寸: {size}, 可选: {list(repos)}")

target = Path(os.environ["MODEL_DIR"])
target.mkdir(parents=True, exist_ok=True)

print(f"[INFO] 正在下载 {repo} ...")
snapshot_download(repo_id=repo, local_dir=str(target), local_dir_use_symlinks=False)

if not (target / "model.bin").is_file():
    raise SystemExit(f"[ERROR] 下载不完整，未找到 model.bin: {target}")

print(f"[OK] Whisper 模型就绪: {target}")
PY

echo ""
echo "[OK] 请执行: pm2 restart trading_studio"