#!/bin/bash

# 检查 Hugging Face Token 和 Dataset ID 环境变量
if [[ -z "$HF_TOKEN" ]] || [[ -z "$DATASET_ID" ]]; then
    echo "Starting without backup functionality - missing HF_TOKEN or DATASET_ID"
    exec /opt/cloudreve/cloudreve -c /opt/cloudreve/config.ini
    exit 0
fi

# 激活虚拟环境
source /opt/venv/bin/activate

# 定义 Cloudreve 主程序目录
CLOUDREVE_DIR="/opt/cloudreve"
BACKUP_PREFIX="cloudreve_backup"

# Python 函数: 上传备份
upload_backup() {
    file_path="$1"
    file_name="$2"
    token="$HF_TOKEN"
    repo_id="$DATASET_ID"

    echo "Preparing to upload backup file: $file_path as $file_name to Dataset: $repo_id"

    python3 -c "
from huggingface_hub import HfApi
import sys
import os
print(f'HF_TOKEN is set: {os.environ.get(\"HF_TOKEN\") is not None}')
print(f'DATASET_ID is set: {os.environ.get(\"DATASET_ID\") is not None}')
def manage_backups(api, repo_id_val, max_files=5):
    print('Managing old backups...')
    files = api.list_repo_files(repo_id=repo_id_val, repo_type='dataset')
    backup_files = [f for f in files if f.startswith('$BACKUP_PREFIX') and f.endswith('.tar.gz')]
    backup_files.sort()
    if len(backup_files) >= max_files:
        print(f'Found {len(backup_files)} backup files, maximum allowed is {max_files}.')
        files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
        for file_to_delete in files_to_delete:
            try:
                print(f'Deleting old backup: {file_to_delete}')
                api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id_val, repo_type='dataset')
                print(f'Successfully deleted: {file_to_delete}')
            except Exception as e:
                print(f'Error deleting {file_to_delete}: {str(e)}')
    else:
        print('Number of backup files is within the limit.')
api = HfApi(token='$token')
try:
    repo_id_val = os.environ.get('DATASET_ID') # 从环境变量中获取 repo_id
    print(f'Uploading file: $file_path to {repo_id_val} as $file_name')
    api.upload_file(
        path_or_fileobj='$file_path',
        path_in_repo='$file_name',
        repo_id=repo_id_val,
        repo_type='dataset'
    )
    print(f'Successfully uploaded $file_name')
    manage_backups(api, repo_id_val)
except Exception as e:
    print(f'Error uploading file: {str(e)}')
"
}

# Python 函数: 下载最新备份
download_latest_backup() {
  token="$HF_TOKEN"
  repo_id="$DATASET_ID"

  echo "Preparing to download the latest backup from Dataset: $repo_id"

  python3 -c "
from huggingface_hub import HfApi
import sys
import os
import tarfile
import tempfile
print(f'HF_TOKEN is set: {os.environ.get(\"HF_TOKEN\") is not None}')
print(f'DATASET_ID is set: {os.environ.get(\"DATASET_ID\") is not None}')
api = HfApi(token='$token')
try:
    repo_id_val = os.environ.get('DATASET_ID') # 从环境变量中获取 repo_id
    print(f'Listing files in Dataset: {repo_id_val}')
    files = api.list_repo_files(repo_id=repo_id_val, repo_type='dataset')
    backup_files = [f for f in files if f.startswith('$BACKUP_PREFIX') and f.endswith('.tar.gz')]
    if not backup_files:
        print('No backup files found in the Dataset.')
        sys.exit()
    latest_backup = sorted(backup_files)[-1]
    print(f'Latest backup file found: {latest_backup}')
    with tempfile.TemporaryDirectory() as temp_dir:
        filepath = api.hf_hub_download(
            repo_id=repo_id_val,
            filename=latest_backup,
            repo_type='dataset',
            local_dir=temp_dir
        )
        if filepath and os.path.exists(filepath):
            print(f'Successfully downloaded backup to temporary directory: {filepath}')
            print(\"Before restoring backup:\")
            import subprocess
            subprocess.run(['ls', '-l', \"$CLOUDREVE_DIR\"], shell=True, check=False)
            # 删除现有的 Cloudreve 目录和配置文件
            import shutil
            cloudreve_path = os.path.join(\"$CLOUDREVE_DIR\", \"cloudreve\")
            cloudreve_db_path = os.path.join(\"$CLOUDREVE_DIR\", \"cloudreve.db\")
            config_ini_path = os.path.join(\"$CLOUDREVE_DIR\", \"config.ini\")
            if os.path.exists(cloudreve_path):
                print(f'Deleting: {cloudreve_path}')
                shutil.rmtree(cloudreve_path, ignore_errors=True)
            if os.path.exists(cloudreve_db_path):
                print(f'Deleting: {cloudreve_db_path}')
                os.remove(cloudreve_db_path)
            if os.path.exists(config_ini_path):
                print(f'Deleting: {config_ini_path}')
                os.remove(config_ini_path)
            print(\"Deletion complete.\")
            print(f'Extracting backup archive: {filepath} to $CLOUDREVE_DIR')
            import tarfile
            with tarfile.open(filepath, 'r:gz') as tar:
                tar.extractall(\"$CLOUDREVE_DIR\")
            print(f'Successfully restored backup from {latest_backup}')
            print(\"After restoring backup:\")
            subprocess.run(['ls', '-l', \"$CLOUDREVE_DIR\"], shell=True, check=False)
        else:
            print('Error during file download.')
except Exception as e:
    print(f'Error downloading backup: {str(e)}')
"
}

# 首次启动时下载最新备份
echo "Downloading latest backup from HuggingFace..."
download_latest_backup

# 同步函数
sync_data() {
    echo "SYNC_DATA FUNCTION IS RUNNING" # 添加了这一行
    while true; do
        echo "Starting sync process at $(date)"

        if [ -d "$CLOUDREVE_DIR" ]; then
            echo "Before compression:"
            ls -l \"$CLOUDREVE_DIR\"

            timestamp=$(date +%Y%m%d_%H%M%S)
            backup_file="${BACKUP_PREFIX}_${timestamp}.tar.gz"
            backup_path="/tmp/${backup_file}"

            echo "Compressing Cloudreve directory (including database and config) to: $backup_path"
            tar -czf "$backup_path" -C "$CLOUDREVE_DIR" cloudreve cloudreve.db config.ini
            echo "Compression complete."

            echo "After compression:"
            ls -l "$backup_path"

            echo "Uploading backup to HuggingFace..."
            upload_backup "$backup_path" "${backup_file}"

            rm -f "$backup_path"
        else
            echo "Cloudreve directory does not exist yet, waiting for next sync..."
        fi

        SYNC_INTERVAL=${SYNC_INTERVAL:-60} # 默认同步间隔改为 60 秒
        echo "Next sync in ${SYNC_INTERVAL} seconds..."
        sleep $SYNC_INTERVAL
    done
}

# 延迟启动同步脚本，给 Cloudreve 一些启动时间
sleep 10

# 后台启动同步进程
sync_data &

# 启动 Halo (这里需要启动 Cloudreve)
echo "Starting Cloudreve..."
exec /opt/cloudreve/cloudreve -c /opt/cloudreve/config.ini