Spaces:
Sleeping
Sleeping
Piyusharanjan Pradhan
commited on
Commit
·
31ab0c0
1
Parent(s):
dedec0d
fix 3
Browse files- startup.sh +60 -17
startup.sh
CHANGED
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@@ -10,9 +10,9 @@ if [ -z "$HF_TOKEN" ] || [ -z "$HF_DATASET" ]; then
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exit 0
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fi
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# Login to Hugging Face
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echo "Logging in to Hugging Face..."
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# Directories to persist
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CONFIG_DIR="/home/coder/.config/code-server"
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@@ -27,18 +27,35 @@ mkdir -p "$BACKUP_DIR"
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download_from_hf() {
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echo "Downloading persisted data from Hugging Face dataset: $HF_DATASET"
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# Try to download the backup archive
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}
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# Function to upload to HF dataset
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@@ -57,9 +74,35 @@ upload_to_hf() {
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.local/share/code-server \
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workspace 2>/dev/null || true
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# Upload to HF dataset
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}
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# Setup trap to save on exit
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exit 0
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fi
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# Login to Hugging Face using Python
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echo "Logging in to Hugging Face..."
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python3 -c "from huggingface_hub import login; login(token='$HF_TOKEN', add_to_git_credential=True)"
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# Directories to persist
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CONFIG_DIR="/home/coder/.config/code-server"
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download_from_hf() {
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echo "Downloading persisted data from Hugging Face dataset: $HF_DATASET"
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# Try to download the backup archive using Python
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python3 << 'PYTHON_SCRIPT'
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import os
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from huggingface_hub import hf_hub_download
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import tarfile
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try:
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backup_dir = "/tmp/hf_backup"
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os.makedirs(backup_dir, exist_ok=True)
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# Download backup file
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file_path = hf_hub_download(
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repo_id=os.environ["HF_DATASET"],
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filename="backup.tar.gz",
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repo_type="dataset",
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local_dir=backup_dir
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)
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print(f"Found existing backup at {file_path}, restoring...")
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# Extract the backup
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with tarfile.open(file_path, "r:gz") as tar:
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tar.extractall("/home/coder")
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print("Restoration complete!")
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except Exception as e:
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print(f"No existing backup found or restoration failed: {e}")
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print("Starting fresh.")
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PYTHON_SCRIPT
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}
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# Function to upload to HF dataset
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.local/share/code-server \
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workspace 2>/dev/null || true
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# Upload to HF dataset using Python
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python3 << 'PYTHON_SCRIPT'
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import os
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from huggingface_hub import HfApi
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try:
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api = HfApi()
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backup_file = "/tmp/hf_backup/backup.tar.gz"
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# Create repo if it doesn't exist and upload
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api.create_repo(
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repo_id=os.environ["HF_DATASET"],
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repo_type="dataset",
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private=True,
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exist_ok=True
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)
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api.upload_file(
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path_or_fileobj=backup_file,
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path_in_repo="backup.tar.gz",
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repo_id=os.environ["HF_DATASET"],
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repo_type="dataset"
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)
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print("Upload successful!")
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except Exception as e:
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print(f"Upload failed: {e}")
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print("Continuing anyway...")
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PYTHON_SCRIPT
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}
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# Setup trap to save on exit
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