#!/bin/bash
# 自动标注运行脚本
# 使用方法: bash scripts/run_autolabel.sh

set -e

# 项目根目录
PROJECT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
cd "$PROJECT_DIR"

# 激活虚拟环境
if [ -f "venv/bin/activate" ]; then
    source venv/bin/activate
else
    echo "错误: 虚拟环境不存在，请先运行 setup_wsl.sh"
    exit 1
fi

# 默认参数
CSV_FILE="${CSV_FILE:-data/structured_data/invoices.csv}"
PDF_DIR="${PDF_DIR:-data/raw_pdfs}"
OUTPUT_DIR="${OUTPUT_DIR:-data/dataset}"
REPORT_FILE="${REPORT_FILE:-reports/autolabel_report.jsonl}"
DPI="${DPI:-300}"
MIN_CONFIDENCE="${MIN_CONFIDENCE:-0.7}"

# 显示配置
echo "=========================================="
echo "自动标注配置"
echo "=========================================="
echo "CSV 文件:    $CSV_FILE"
echo "PDF 目录:    $PDF_DIR"
echo "输出目录:    $OUTPUT_DIR"
echo "报告文件:    $REPORT_FILE"
echo "DPI:         $DPI"
echo "最小置信度:  $MIN_CONFIDENCE"
echo "=========================================="
echo ""

# 创建必要目录
mkdir -p "$(dirname "$REPORT_FILE")"
mkdir -p "$OUTPUT_DIR"

# 运行自动标注
python -m src.cli.autolabel \
    --csv "$CSV_FILE" \
    --pdf-dir "$PDF_DIR" \
    --output "$OUTPUT_DIR" \
    --report "$REPORT_FILE" \
    --dpi "$DPI" \
    --min-confidence "$MIN_CONFIDENCE" \
    --verbose

echo ""
echo "完成! 数据集已生成到: $OUTPUT_DIR"