Update sync_data.sh
Browse files- sync_data.sh +21 -49
sync_data.sh
CHANGED
@@ -1,26 +1,39 @@
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#!/bin/sh
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-
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# 检查环境变量
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if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then
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echo "Starting without backup functionality - missing HF_TOKEN or DATASET_ID"
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exec node ./src/app/app.js
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exit 0
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fi
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-
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# 激活虚拟环境
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. /opt/venv/bin/activate
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#
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upload_backup() {
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file_path="$1"
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file_name="$2"
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-
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python3 -c "
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from huggingface_hub import HfApi
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import sys
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import os
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api = HfApi(token='$HF_TOKEN')
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try:
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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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@@ -28,72 +41,31 @@ try:
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repo_type='dataset'
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)
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print(f'Successfully uploaded $file_name')
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except Exception as e:
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print(f'Error uploading file: {str(e)}')
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"
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}
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# 下载最新备份
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download_latest_backup() {
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python3 -c "
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from huggingface_hub import HfApi
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import sys
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import os
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import tarfile
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import tempfile
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api = HfApi(token='$HF_TOKEN')
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try:
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files = api.list_repo_files(repo_id='$DATASET_ID', repo_type='dataset')
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backup_files = [f for f in files if f.startswith('electerm_backup_') and f.endswith('.tar.gz')]
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-
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sys.exit()
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latest_backup = sorted(backup_files)[-1]
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with tempfile.TemporaryDirectory() as temp_dir:
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filepath = api.hf_hub_download(
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repo_id='$DATASET_ID',
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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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)
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if filepath and os.path.exists(filepath):
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with tarfile.open(filepath, 'r:gz') as tar:
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tar.extractall('/app/electerm-web/data')
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print(f'Successfully restored backup from {latest_backup}')
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except Exception as e:
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print(f'Error
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"
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}
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#
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echo "Downloading latest backup from HuggingFace..."
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download_latest_backup
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# 同步函数
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sync_data() {
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while true; do
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echo "Starting sync process at $(date)"
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-
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if [ -d /app/electerm-web/data ]; then
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timestamp=$(date +%Y%m%d_%H%M%S)
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backup_file="electerm_backup_${timestamp}.tar.gz"
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-
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# 压缩数据目录
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tar -czf "/tmp/${backup_file}" -C /app/electerm-web/data .
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echo "Uploading backup to HuggingFace..."
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upload_backup "/tmp/${backup_file}" "${backup_file}"
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-
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rm -f "/tmp/${backup_file}"
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else
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echo "Data directory does not exist yet, waiting for next sync..."
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fi
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SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
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echo "Next sync in ${SYNC_INTERVAL} seconds..."
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sleep $SYNC_INTERVAL
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#!/bin/sh
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# 检查环境变量
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if [ -z "$HF_TOKEN" ] || [ -z "$DATASET_ID" ]; then
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echo "Starting without backup functionality - missing HF_TOKEN or DATASET_ID"
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exec node ./src/app/app.js
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exit 0
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fi
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# 激活虚拟环境
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. /opt/venv/bin/activate
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# 上传备份(新增备份数量管理)
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upload_backup() {
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file_path="$1"
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file_name="$2"
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python3 -c "
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from huggingface_hub import HfApi
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import sys
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import os
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def manage_backups(api, repo_id, max_files=50):
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files = api.list_repo_files(repo_id=repo_id, repo_type='dataset')
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# 注意前缀改为electerm_backup_
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backup_files = [f for f in files if f.startswith('electerm_backup_') and f.endswith('.tar.gz')]
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backup_files.sort()
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if len(backup_files) >= max_files:
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files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
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for file_to_delete in files_to_delete:
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try:
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api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id, repo_type='dataset')
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print(f'Deleted old backup: {file_to_delete}')
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except Exception as e:
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print(f'Error deleting {file_to_delete}: {str(e)}')
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api = HfApi(token='$HF_TOKEN')
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try:
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# 先上传新备份
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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_type='dataset'
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)
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print(f'Successfully uploaded $file_name')
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# 上传完成后执行备份数量管理
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manage_backups(api, '$DATASET_ID')
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except Exception as e:
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print(f'Error uploading file: {str(e)}')
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"
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}
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# [...] 后续的download_latest_backup和sync_data函数保持不变
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# 同步函数
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sync_data() {
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while true; do
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echo "Starting sync process at $(date)"
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if [ -d /app/electerm-web/data ]; then
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timestamp=$(date +%Y%m%d_%H%M%S)
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backup_file="electerm_backup_${timestamp}.tar.gz"
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# 压缩数据目录
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tar -czf "/tmp/${backup_file}" -C /app/electerm-web/data .
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echo "Uploading backup to HuggingFace..."
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upload_backup "/tmp/${backup_file}" "${backup_file}"
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rm -f "/tmp/${backup_file}"
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else
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echo "Data directory does not exist yet, waiting for next sync..."
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fi
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SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
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echo "Next sync in ${SYNC_INTERVAL} seconds..."
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sleep $SYNC_INTERVAL
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