File size: 3,659 Bytes
91d7d48 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 |
#!/bin/bash
# 检查环境变量
if [[ -z "$HF_TOKEN" ]] || [[ -z "$DATASET_ID" ]]; then
echo "Starting without backup functionality - missing HF_TOKEN or DATASET_ID"
exec java ${JVM_OPTS} -jar /opt/halo/halo.jar
exit 0
fi
# 激活虚拟环境
source /opt/venv/bin/activate
# Python 函数: 上传备份
upload_backup() {
file_path="$1"
file_name="$2"
token="$HF_TOKEN"
repo_id="$DATASET_ID"
python3 -c "
from huggingface_hub import HfApi
import sys
import os
def manage_backups(api, repo_id, max_files=50):
files = api.list_repo_files(repo_id=repo_id, repo_type='dataset')
backup_files = [f for f in files if f.startswith('halo_backup_') and f.endswith('.tar.gz')]
backup_files.sort()
if len(backup_files) >= max_files:
files_to_delete = backup_files[:(len(backup_files) - max_files + 1)]
for file_to_delete in files_to_delete:
try:
api.delete_file(path_in_repo=file_to_delete, repo_id=repo_id, repo_type='dataset')
print(f'Deleted old backup: {file_to_delete}')
except Exception as e:
print(f'Error deleting {file_to_delete}: {str(e)}')
api = HfApi(token='$token')
try:
api.upload_file(
path_or_fileobj='$file_path',
path_in_repo='$file_name',
repo_id='$repo_id',
repo_type='dataset'
)
print(f'Successfully uploaded $file_name')
manage_backups(api, '$repo_id')
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"
python3 -c "
from huggingface_hub import HfApi
import sys
import os
import tarfile
import tempfile
api = HfApi(token='$token')
try:
files = api.list_repo_files(repo_id='$repo_id', repo_type='dataset')
backup_files = [f for f in files if f.startswith('halo_backup_') and f.endswith('.tar.gz')]
if not backup_files:
print('No backup files found')
sys.exit()
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(os.path.expanduser('~/.halo2'))
print(f'Successfully restored backup from {latest_backup}')
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() {
while true; do
echo "Starting sync process at $(date)"
if [ -d ~/.halo2 ]; then
timestamp=$(date +%Y%m%d_%H%M%S)
backup_file="halo_backup_${timestamp}.tar.gz"
# 压缩数据目录
tar -czf "/tmp/${backup_file}" -C ~/.halo2 .
echo "Uploading backup to HuggingFace..."
upload_backup "/tmp/${backup_file}" "${backup_file}"
rm -f "/tmp/${backup_file}"
else
echo "Data directory does not exist yet, waiting for next sync..."
fi
SYNC_INTERVAL=${SYNC_INTERVAL:-7200}
echo "Next sync in ${SYNC_INTERVAL} seconds..."
sleep $SYNC_INTERVAL
done
}
# 后台启动同步进程
sync_data &
# 启动 Halo
exec java ${JVM_OPTS} -jar /opt/halo/halo.jar |