local caching of versioned remote files

Hi! I want to use s3fs for accessing testing files on S3 mainly bc of these 2 neat features:

1. local caching of files to disk with checking if files change, i.e. a file gets redownloaded if the local and remote file differ
2. file version id support for versioned S3 buckets, i.e. the ability to open different versions of the same remote file based on their version id

I don't need this for high frequency use and the files don't change often. It is mainly for using unit/integration test data stored on S3, which changes only if tests and related test data get updated (versions!).

I got both of the above working separately just fine, but it seems I can't get the combination of the two working. That is, I want to be able to cache different versions of the same file locally. It seems that as soon as you use a filecache, the version id disambiguation is lost.

fs = fsspec.filesystem("filecache", target_protocol='s3', cache_storage='/tmp/aws', check_files=True, version_aware=True)
with fs.open("s3://my_bucket/my_file.txt", "r", version_id=version_id) as f:
    text = f.read()

No matter what version_id is, I always get the most recent file from S3, which is also the one that gets cached locally.

What I expect is that I always get the correct file version and the local cache either keeps separate files for each version (preferred) or just updates the local file whenever I request a version different from the cached one.

Is there a way I can achieve this with the current state of the libraries or is this currently not possible? I am using s3fs==fsspec==2022.3.0.

Reproduce the issue with the provided fsspec filecache configuration, s3fs==fsspec==2022.3.0, and multiple S3 version_id values. Trace how filecache handles the version-aware S3 requests; done means each requested version is returned correctly and cached without conflating different versions.