#!/usr/bin/env bash
# Build the fingerprint-enabled evalstone image:
#   evalscope-complete-py312-fp:<tag>
#
# 用法：
#   bash scripts/build_fingerprint_image.sh [tag]        # 默认 tag: v1
#   TAG=v2 bash scripts/build_fingerprint_image.sh       # 指定 tag
#
# 构建完成后，新容器内无需任何环境配置：
#   docker run -it --rm \
#     -v /data1/eval/evalstone:/workspace/evalscope \
#     -v /data1/models:/opt/models \
#     evalscope-complete-py312-fp:v1
#   cd /workspace/evalscope
#   python bash/run.py --suite fingerprint --model <name> --api-url http://<host>:30000/v1
set -euo pipefail

PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
TAG="${1:-${TAG:-v1}}"
CTX="$PROJECT_ROOT/docker/fingerprint_context"

# 1) 刷新 build 上下文（工具仓库 + 裁剪后的模型缓存）
bash "$PROJECT_ROOT/scripts/stage_fingerprint_context.sh"

# 2) 构建
docker build -f "$PROJECT_ROOT/docker/Dockerfile.fingerprint" \
             -t "evalscope-complete-py312-fp:$TAG" "$CTX"

echo
echo "[build] done: evalscope-complete-py312-fp:$TAG"
docker images | grep evalscope-complete-py312-fp || true