Update sync_data.sh
Browse files- sync_data.sh +47 -213
sync_data.sh
CHANGED
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@@ -1,19 +1,30 @@
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#!/bin/bash
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# 检查 Hugging Face Token 和 Dataset ID 环境变量
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if [[ -z "$HF_TOKEN" ]] || [[ -z "$DATASET_ID" ]]; then
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echo "Starting Cloudreve without backup/restore functionality - missing HF_TOKEN or DATASET_ID"
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# 直接启动 Cloudreve 作为主进程
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echo "Starting Cloudreve directly..."
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exec /opt/cloudreve/cloudreve -c /opt/cloudreve/config.ini
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exit 0
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fi
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# 激活 Python 虚拟环境
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echo "Activating Python venv..."
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source /opt/venv/bin/activate
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# 定义 Cloudreve 主程序目录 和 备份文件前缀
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CLOUDREVE_DIR="/opt/cloudreve"
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BACKUP_PREFIX="cloudreve_backup"
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CONFIG_FILE_PATH="/opt/cloudreve/config.ini"
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@@ -21,218 +32,36 @@ DB_FILE_PATH="/opt/cloudreve/cloudreve.db"
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EXECUTABLE_PATH="/opt/cloudreve/cloudreve"
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# --- Python 函数定义 ---
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# (Python 函数 upload_backup 和 download_latest_backup
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#
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#
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upload_backup() {
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file_path="$1"
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file_name="$2"
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token="$HF_TOKEN"
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repo_id="$DATASET_ID"
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echo "Preparing to upload backup file: $file_path as $file_name to Dataset: $repo_id"
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python3 -c "
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from huggingface_hub import HfApi
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import sys
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import os
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print(f'HF_TOKEN is set: {os.environ.get(\"HF_TOKEN\") is not None}')
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print(f'DATASET_ID is set: {os.environ.get(\"DATASET_ID\") is not None}')
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def manage_backups(api, repo_id_val, max_files=5):
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print('Managing old backups...')
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files = api.list_repo_files(repo_id=repo_id_val, repo_type='dataset')
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backup_files = [f for f in files if f.startswith('$BACKUP_PREFIX') and f.endswith('.tar.gz')]
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backup_files.sort()
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if len(backup_files) >= max_files:
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print(f'Found {len(backup_files)} backup files, maximum allowed is {max_files}.')
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files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
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for file_to_delete in files_to_delete:
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try:
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print(f'Deleting old backup: {file_to_delete}')
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api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id_val, repo_type='dataset')
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print(f'Successfully deleted: {file_to_delete}')
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except Exception as e:
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print(f'Error deleting {file_to_delete}: {str(e)}')
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else:
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print('Number of backup files is within the limit.')
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api = HfApi(token='$token')
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try:
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repo_id_val = os.environ.get('DATASET_ID') # 从环境变量中获取 repo_id
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if not repo_id_val:
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raise ValueError('DATASET_ID environment variable is not set.')
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print(f'Uploading file: $file_path to {repo_id_val} as $file_name')
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api.upload_file(
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path_or_fileobj='$file_path',
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path_in_repo='$file_name',
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repo_id=repo_id_val,
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repo_type='dataset'
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)
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print(f'Successfully uploaded $file_name')
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manage_backups(api, repo_id_val)
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except Exception as e:
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print(f'Error uploading file: {str(e)}')
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sys.exit(1) # Exit if upload fails
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"
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}
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# Python 函数: 下载最新备份
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download_latest_backup() {
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token="$HF_TOKEN"
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repo_id="$DATASET_ID"
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echo "Preparing to download the latest backup from Dataset: $repo_id"
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python3 -c "
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from huggingface_hub import HfApi, hf_hub_download
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import sys
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import os
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import tarfile
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import tempfile
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import shutil
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import subprocess
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print(f'HF_TOKEN is set: {os.environ.get(\"HF_TOKEN\") is not None}')
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print(f'DATASET_ID is set: {os.environ.get(\"DATASET_ID\") is not None}')
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api = HfApi(token='$token')
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try:
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repo_id_val = os.environ.get('DATASET_ID') # 从环境变量中获取 repo_id
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if not repo_id_val:
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raise ValueError('DATASET_ID environment variable is not set.')
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print(f'Listing files in Dataset: {repo_id_val}')
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files = api.list_repo_files(repo_id=repo_id_val, repo_type='dataset')
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backup_files = [f for f in files if f.startswith('$BACKUP_PREFIX') and f.endswith('.tar.gz')]
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if not backup_files:
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print('No backup files found in the Dataset. Skipping restore.')
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sys.exit(0) # Exit successfully if no backups to restore
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latest_backup = sorted(backup_files)[-1]
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print(f'Latest backup file found: {latest_backup}')
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with tempfile.TemporaryDirectory() as temp_dir:
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print(f'Downloading {latest_backup} to temporary directory {temp_dir}...')
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try:
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filepath = hf_hub_download(
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repo_id=repo_id_val,
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filename=latest_backup,
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repo_type='dataset',
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local_dir=temp_dir,
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token=os.environ.get('HF_TOKEN') # Pass token explicitly if needed
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)
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except Exception as download_error:
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print(f'Error during hf_hub_download: {download_error}')
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# Attempt to list files again for debugging
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try:
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print('Attempting to list repo files again for debugging...')
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files_debug = api.list_repo_files(repo_id=repo_id_val, repo_type='dataset')
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print(f'Files found (debug): {files_debug}')
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except Exception as list_error:
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print(f'Error listing files during debug: {list_error}')
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sys.exit(1)
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if filepath and os.path.exists(filepath):
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print(f'Successfully downloaded backup to temporary directory: {filepath}')
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# Files/Dirs to restore (relative paths within CLOUDREVE_DIR)
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items_to_restore = ['cloudreve', 'cloudreve.db', 'config.ini']
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# Ensure target directory exists
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os.makedirs(\"$CLOUDREVE_DIR\", exist_ok=True)
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print('Listing contents before restore:')
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subprocess.run(['ls', '-lA', \"$CLOUDREVE_DIR\"], check=False) # Use -A to show hidden files
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# --- Safer Restore Logic ---
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# 1. Extract backup to a temporary location first
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extract_temp_dir = os.path.join(temp_dir, 'extracted_backup')
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os.makedirs(extract_temp_dir, exist_ok=True)
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print(f'Extracting backup archive: {filepath} to {extract_temp_dir}')
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try:
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with tarfile.open(filepath, 'r:gz') as tar:
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tar.extractall(extract_temp_dir)
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print('Extraction complete.')
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except tarfile.ReadError as tar_err:
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print(f'Error reading tar file: {tar_err}')
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sys.exit(1)
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except Exception as extract_err:
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print(f'Error during extraction: {extract_err}')
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sys.exit(1)
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# 2. Check if essential files exist in the extracted backup
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essential_files_present = True
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for item in items_to_restore:
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extracted_item_path = os.path.join(extract_temp_dir, item)
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if not os.path.exists(extracted_item_path):
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print(f'Error: Essential item "{item}" not found in extracted backup at {extracted_item_path}. Aborting restore.')
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essential_files_present = False
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break # Stop checking
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if not essential_files_present:
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sys.exit(1) # Abort if essential files are missing
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# 3. Delete existing items in the target directory
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print(f'Deleting existing items in $CLOUDREVE_DIR before restoring...')
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for item in items_to_restore:
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target_path = os.path.join(\"$CLOUDREVE_DIR\", item)
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if os.path.exists(target_path):
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try:
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if os.path.isdir(target_path) and not os.path.islink(target_path):
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print(f'Deleting directory: {target_path}')
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shutil.rmtree(target_path)
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else:
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print(f'Deleting file/link: {target_path}')
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os.remove(target_path)
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except OSError as e:
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print(f'Error deleting {target_path}: {e}. Continuing...')
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# 4. Move extracted items to the target directory
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print(f'Moving extracted items from {extract_temp_dir} to $CLOUDREVE_DIR...')
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for item in items_to_restore:
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source_path = os.path.join(extract_temp_dir, item)
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target_path = os.path.join(\"$CLOUDREVE_DIR\", item)
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try:
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print(f'Moving {source_path} to {target_path}')
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shutil.move(source_path, target_path)
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except Exception as move_err:
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print(f'Error moving {item}: {move_err}')
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# Decide if this is critical, maybe exit? For now, print and continue.
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print(f'Successfully restored backup from {latest_backup}')
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print('Listing contents after restore:')
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subprocess.run(['ls', '-lA', \"$CLOUDREVE_DIR\"], check=False) # Use -A
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else:
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print(f'Error: Downloaded file path "{filepath}" does not exist or download failed.')
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sys.exit(1) # Exit if download path invalid
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except ValueError as ve:
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print(f'Configuration Error: {ve}')
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sys.exit(1)
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except Exception as e:
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print(f'Error during backup download/restore: {str(e)}')
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# Print traceback for more details
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import traceback
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traceback.print_exc()
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sys.exit(1) # Exit on error
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"
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}
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# --- Sync Function ---
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sync_data() {
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while true; do
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#
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#
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sleep 15
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echo "Starting sync cycle at $(date)"
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@@ -267,7 +96,8 @@ sync_data() {
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fi
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# Define sync interval (use environment variable or default to 3600 seconds = 1 hour)
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echo "Next sync in ${SYNC_INTERVAL} seconds..."
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sleep $SYNC_INTERVAL
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done
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@@ -290,21 +120,25 @@ echo "Backup restore process finished."
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# 2. Check if config file exists after potential restore. If not, Cloudreve needs to run once to create it.
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if [ ! -f "$CONFIG_FILE_PATH" ]; then
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echo "Config file ($CONFIG_FILE_PATH) not found. Running Cloudreve once to generate initial config."
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/opt/cloudreve/cloudreve -c "$CONFIG_FILE_PATH"
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# Cloudreve
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# Need to check if it actually created the config...
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if [ ! -f "$CONFIG_FILE_PATH" ]; then
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echo "CRITICAL: Cloudreve failed to create initial config file. Exiting."
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exit 1
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else
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echo "Initial config file created. Please check logs for admin credentials if needed."
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#
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fi
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fi
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# 3. Start the background sync process
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sync_data & # Run sync_data function in the background
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sync_pid=$! # Get PID of background sync process
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#!/bin/bash
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# 检查 Hugging Face Token 和 Dataset ID 环境变量
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# ... (这部分不变) ...
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if [[ -z "$HF_TOKEN" ]] || [[ -z "$DATASET_ID" ]]; then
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echo "Starting Cloudreve without backup/restore functionality - missing HF_TOKEN or DATASET_ID"
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# 直接启动 Cloudreve 作为主进程
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echo "Starting Cloudreve directly..."
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# --- 确保这里直接启动 Cloudreve ---
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# 如果不需要 Aria2,也要确保启动了 Aria2 或注释掉下面的 Aria2 启动逻辑
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# 假设无备份时仍需 Aria2:
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# aria2c [OPTIONS] & # 根据需要添加 Aria2 参数
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# exec /opt/cloudreve/cloudreve -c /opt/cloudreve/config.ini
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# 如果无备份时也不需要 Aria2:
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exec /opt/cloudreve/cloudreve -c /opt/cloudreve/config.ini
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exit 0
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fi
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# 激活 Python 虚拟环境
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# ... (这部分不变) ...
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echo "Activating Python venv..."
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source /opt/venv/bin/activate
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# 定义 Cloudreve 主程序目录 和 备份文件前缀
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# ... (这部分不变) ...
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CLOUDREVE_DIR="/opt/cloudreve"
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BACKUP_PREFIX="cloudreve_backup"
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CONFIG_FILE_PATH="/opt/cloudreve/config.ini"
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EXECUTABLE_PATH="/opt/cloudreve/cloudreve"
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# --- Python 函数定义 ---
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# (Python 函数 upload_backup 和 download_latest_backup 保持不变)
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# ... upload_backup() 函数 ...
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# ... download_latest_backup() 函数 ...
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| 38 |
|
| 39 |
|
| 40 |
# --- Sync Function ---
|
| 41 |
sync_data() {
|
| 42 |
+
# **新增:等待 Cloudreve 启动完成**
|
| 43 |
+
echo "Background Sync Process: Initializing..."
|
| 44 |
+
echo "Waiting for Cloudreve service to become available on port 5212..."
|
| 45 |
+
# 循环检查端口 5212 是否在监听,nc -z 返回 0 表示成功
|
| 46 |
+
while ! nc -z 127.0.0.1 5212; do
|
| 47 |
+
echo "Cloudreve not ready yet (port 5212 not open), sleeping for 5 seconds..."
|
| 48 |
+
sleep 5
|
| 49 |
+
done
|
| 50 |
+
echo "Cloudreve service detected on port 5212. Starting main sync loop."
|
| 51 |
+
# **等待逻辑结束**
|
| 52 |
+
|
| 53 |
+
# --- 原有的 sync_data 循环逻辑开始 ---
|
| 54 |
+
echo "Background Sync Process Started" # 可以保留或移除此行
|
| 55 |
while true; do
|
| 56 |
+
# **移除内部的文件检查循环**,因为 Cloudreve 已运行,文件应存在
|
| 57 |
+
# while [ ! -f "$CONFIG_FILE_PATH" ] || ... (这部分删除) ...
|
| 58 |
+
|
| 59 |
+
# 确保基本文件存在(作为额外的保险,但理论上此时应该存在)
|
| 60 |
+
if [ ! -f "$CONFIG_FILE_PATH" ] || [ ! -f "$DB_FILE_PATH" ] || [ ! -f "$EXECUTABLE_PATH" ]; then
|
| 61 |
+
echo "WARN: Essential Cloudreve files missing even after port check. Waiting..."
|
| 62 |
sleep 15
|
| 63 |
+
continue # 跳过本次循环
|
| 64 |
+
fi
|
| 65 |
|
| 66 |
echo "Starting sync cycle at $(date)"
|
| 67 |
|
|
|
|
| 96 |
fi
|
| 97 |
|
| 98 |
# Define sync interval (use environment variable or default to 3600 seconds = 1 hour)
|
| 99 |
+
# **重要:确保这里的间隔设置合理,避免过于频繁导致资源超限**
|
| 100 |
+
SYNC_INTERVAL=${SYNC_INTERVAL:-3600} # 默认改为 1 小时
|
| 101 |
echo "Next sync in ${SYNC_INTERVAL} seconds..."
|
| 102 |
sleep $SYNC_INTERVAL
|
| 103 |
done
|
|
|
|
| 120 |
# 2. Check if config file exists after potential restore. If not, Cloudreve needs to run once to create it.
|
| 121 |
if [ ! -f "$CONFIG_FILE_PATH" ]; then
|
| 122 |
echo "Config file ($CONFIG_FILE_PATH) not found. Running Cloudreve once to generate initial config."
|
| 123 |
+
# 首次运行时,不需要后台运行,让它生成配置就退出
|
| 124 |
/opt/cloudreve/cloudreve -c "$CONFIG_FILE_PATH"
|
| 125 |
+
# Cloudreve 在没有数据库时会初始化并打印密码然后退出
|
|
|
|
| 126 |
if [ ! -f "$CONFIG_FILE_PATH" ]; then
|
| 127 |
echo "CRITICAL: Cloudreve failed to create initial config file. Exiting."
|
| 128 |
exit 1
|
| 129 |
else
|
| 130 |
+
echo "Initial config file created by first run. Please check logs for admin credentials if needed."
|
| 131 |
+
# 确保数据库文件也可能已创建(即使是空的)
|
| 132 |
+
if [ ! -f "$DB_FILE_PATH" ]; then
|
| 133 |
+
echo "WARN: Database file might not have been created on first run, proceeding anyway."
|
| 134 |
+
fi
|
| 135 |
fi
|
| 136 |
fi
|
| 137 |
|
| 138 |
|
| 139 |
# 3. Start the background sync process
|
| 140 |
+
# **注意:这一步仍然在 exec Cloudreve 之前**
|
| 141 |
+
echo "Starting background data sync process (will wait for Cloudreve service internally)..."
|
| 142 |
sync_data & # Run sync_data function in the background
|
| 143 |
sync_pid=$! # Get PID of background sync process
|
| 144 |
|