sync_data.sh

#!/bin/sh

# 检查环境变量
if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then
    echo "未检测到 HF_TOKEN 或 DATASET_ID，备份功能不可用"
    exit 1
fi

# 激活虚拟环境
. ${APP_HOME}/venv/bin/activate

# 生成同步脚本
cat > hf_sync.py << 'EOL'
# HuggingFace 同步脚本
from huggingface_hub import HfApi
import sys
import os
import tarfile
import tempfile

# 管理备份文件数量，超出最大数量则自动删除最旧的备份
def manage_backups(api, repo_id, max_files=50):
    files = api.list_repo_files(repo_id=repo_id, repo_type="dataset")
    backup_files = [f for f in files if f.startswith('backup_') and f.endswith('.tar.gz')]
    backup_files.sort()
    if len(backup_files) >= max_files:
        files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
        for file_to_delete in files_to_delete:
            try:
                api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id, repo_type="dataset")
                print(f'已删除旧备份: {file_to_delete}')
            except Exception as e:
                print(f'删除 {file_to_delete} 时出错: {str(e)}')

# 上传备份文件到 HuggingFace
def upload_backup(file_path, file_name, token, repo_id):
    api = HfApi(token=token)
    try:
        api.upload_file(
            path_or_fileobj=file_path,
            path_in_repo=file_name,
            repo_id=repo_id,
            repo_type="dataset"
        )
        print(f"成功上传 {file_name}")
        manage_backups(api, repo_id)
    except Exception as e:
        print(f"上传文件出错: {str(e)}")


# 下载最新备份
def download_latest_backup(token, repo_id, extract_path):
    try:
        api = HfApi(token=token)
        files = api.list_repo_files(repo_id=repo_id, repo_type="dataset")
        backup_files = [f for f in files if f.startswith('backup_') and f.endswith('.tar.gz')]
        if not backup_files:
            print("未找到任何备份文件")
            return
        latest_backup = sorted(backup_files)[-1]
        with tempfile.TemporaryDirectory() as temp_dir:
            filepath = api.hf_hub_download(
                repo_id=repo_id,
                filename=latest_backup,
                repo_type="dataset",
                local_dir=temp_dir
            )
            if filepath and os.path.exists(filepath):
                with tarfile.open(filepath, 'r:gz') as tar:
                    tar.extractall(extract_path)
                print(f"已成功恢复备份: {latest_backup}")
    except Exception as e:
        print(f"下载备份出错: {str(e)}")

# 合并历史提交
def super_squash_history(token, repo_id):
    try:
        api = HfApi(token=token)
        api.super_squash_history(repo_id=repo_id, repo_type="dataset")
        print("历史合并完成。")
    except Exception as e:
        print(f"合并历史出错: {str(e)}")

# 主函数
if __name__ == "__main__":
    action = sys.argv[1]
    token = sys.argv[2]
    repo_id = sys.argv[3]
    if action == "upload":
        file_path = sys.argv[4]
        file_name = sys.argv[5]
        upload_backup(file_path, file_name, token, repo_id)
    elif action == "download":
        extract_path = sys.argv[4] if len(sys.argv) > 4 else '.'
        download_latest_backup(token, repo_id, extract_path)
    elif action == "super_squash":
        super_squash_history(token, repo_id)
EOL
# 首次启动时从 HuggingFace 下载最新备份（解压到应用目录）
echo "正在从 HuggingFace 下载最新备份..."
python hf_sync.py download "${HF_TOKEN}" "${DATASET_ID}" "./"  

# 同步函数
sync_data() {
    while true; do
        echo "同步进程启动于 $(date)"
        
        # 确保数据目录存在（请根据实际路径修改）
        STORAGE_PATH="/home/suwayomi/.local/share/Tachidesk"
        if [ -d "${STORAGE_PATH}" ]; then
            # 创建备份
            timestamp=$(date +%Y%m%d_%H%M%S)
            backup_file="backup_${timestamp}.tar.gz"
            
            # 压缩目录（使用-C避免包含父路径）
            tar -czf "/tmp/${backup_file}" -C "$(dirname "${STORAGE_PATH}")" "$(basename "${STORAGE_PATH}")"
            
            # 上传到 HuggingFace
            echo "正在上传备份到 HuggingFace..."
            python hf_sync.py upload "${HF_TOKEN}" "${DATASET_ID}" "/tmp/${backup_file}" "${backup_file}"
            
            # 合并历史提交
        SQUASH_FLAG_FILE="/tmp/last_squash_time"
        NOW=$(date +%s)
        SEVEN_DAYS=$((7*24*60*60))
        if [ ! -f "$SQUASH_FLAG_FILE" ]; then
            echo $NOW > "$SQUASH_FLAG_FILE"
            echo "首次合并历史提交..."
            python hf_sync.py super_squash "${HF_TOKEN}" "${DATASET_ID}"
        else
            LAST=$(cat "$SQUASH_FLAG_FILE")
            DIFF=$((NOW - LAST))
            if [ $DIFF -ge $SEVEN_DAYS ]; then
                echo $NOW > "$SQUASH_FLAG_FILE"
                echo "距离上次合并已超过7天，正在合并历史提交..."
                python hf_sync.py super_squash "${HF_TOKEN}" "${DATASET_ID}"
            else
                echo "距离上次合并未满7天，本次跳过合并历史提交。"
            fi
        fi

            # 清理临时文件
            rm -f "/tmp/${backup_file}"
        else
            echo "存储目录 ${STORAGE_PATH} 不存在，等待中..."
        fi
        
        # 同步间隔
        SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
        echo "下次同步将在 ${SYNC_INTERVAL} 秒后进行..."
        sleep $SYNC_INTERVAL
    done
}

# 启动同步进程
sync_data &