A Python library that synchronizes local files with Google Cloud Storage in a concurrency-aware manner.
Project description
bucket-locker
Concurrency-safe local copies of Google Cloud Storage (GCS) blobs in Python.
Why?
You need this library if:
- You are using a GCS bucket.
- Your system, app, or service downloads files from that bucket, works on local copies, and then uploads them back.
What it does
bucket-locker helps you:
- Avoid data races
- between accesses to the same local copy (e.g. multiple threads/tasks), and
- between different local copies of the same blob (e.g. multiple processes/instances).
- Avoid redundant I/O
- skip downloads if your local copy is already in sync,
- skip uploads if the blob hasn’t changed.
Installation
pip install bucket-locker
Usage
import asyncio
from pathlib import Path
from bucket_locker import Locker, BlobNotFound
async def main():
locker = Locker(bucket_name="my-bucket", local_dir=Path("/tmp/bucket"))
# Safe read–write access
try:
async with locker.owned_local_copy("data.json") as handle:
# work on the local file
data = handle.path.read_text()
handle.path.write_text(data + "\nextra line")
# changes will be uploaded automatically on exit
except BlobNotFound:
print("Blob not found in GCS")
# Safe read-only access: does not lock the blob
async with locker.readonly_local_copy("config.yaml") as handle:
config = handle.path.read_text()
print(config)
asyncio.run(main())
License
This project is licensed under the MIT License. See the LICENSE file for details.
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