My experiment on a lightweight and high-performance file/object storage service...
Highlights:
- User storage limit and access control.
- Pagination and sorted file listing for vast number of files.
- High performance: high concurrency, near-native speed on stress tests.
- Support range requests, so you can stream large files / resume download.
It stores small files and metadata in sqlite, large files in the filesystem.
Tested on 2 million files, and it is still fast.
Usage:
pip install lfss
lfss-user add <username> <password>
lfss-serve
By default, the data will be stored in .storage_data
.
You can change storage directory using the LFSS_DATA
environment variable.
I provide a simple client to interact with the service:
lfss-panel --open
Or, you can start a web server at /frontend
and open index.html
in your browser.
The API usage is simple, just GET
, PUT
, DELETE
to the /<username>/file/url
path.
Authentication via Authorization
header with the value Bearer <token>
, or through the token
query parameter.
You can refer to frontend
as an application example, lfss/api/connector.py
for more APIs.
By default, the service exposes all files to the public for GET
requests,
but file-listing is restricted to the user's own files.
Please refer to docs/Permission.md for more details on the permission system.