strukto-ai--mirage/docs/python/resource/wasabi.mdx

---
title: Wasabi
icon: /images/wasabi-logo.svg
description: Mount a Wasabi cloud storage bucket as a virtual filesystem.
---
The Wasabi resource is a thin wrapper over the [S3 resource](/python/resource/s3).
It maps a `WasabiConfig` to an `S3Config` and reuses the exact same backend,
commands, and behavior as S3, it just derives the right Wasabi endpoint from
`region`. Uses aioboto3 against Wasabi's S3-compatible API.

The endpoint is computed from `region` as `s3.<region>.wasabisys.com`
(`s3.wasabisys.com` for `us-east-1`). Pass `endpoint_url` to override.

## Config

```python
import os

from mirage import MountMode, Workspace
from mirage.resource.wasabi import WasabiConfig, WasabiResource

config = WasabiConfig(
    bucket=os.environ["WASABI_BUCKET"],
    region=os.environ.get("WASABI_REGION", "us-east-2"),
    access_key_id=os.environ["WASABI_ACCESS_KEY_ID"],
    secret_access_key=os.environ["WASABI_SECRET_ACCESS_KEY"],
    # Optional:
    # endpoint_url="https://s3.us-east-2.wasabisys.com",
    # timeout=30,
    # proxy="http://proxy:8080",
)
resource = WasabiResource(config)
ws = Workspace({"/data": resource}, mode=MountMode.READ)
```

`region` defaults to `us-east-1`. Both `READ` and `WRITE` modes are supported.

## Example

```python
import asyncio
import os

from dotenv import load_dotenv

from mirage import MountMode, Workspace
from mirage.resource.wasabi import WasabiConfig, WasabiResource

load_dotenv(".env.development")

config = WasabiConfig(
    bucket=os.environ["WASABI_BUCKET"],
    region=os.environ.get("WASABI_REGION", "us-east-2"),
    access_key_id=os.environ["WASABI_ACCESS_KEY_ID"],
    secret_access_key=os.environ["WASABI_SECRET_ACCESS_KEY"],
)
resource = WasabiResource(config)


async def main() -> None:
    ws = Workspace({"/data/": resource}, mode=MountMode.READ)

    r = await ws.execute("ls /data/")
    print(await r.stdout_str())

    r = await ws.execute("tree /data/")
    print(await r.stdout_str())


if __name__ == "__main__":
    asyncio.run(main())
```

## Notes

- Wasabi reports `ResourceName.S3` and routes through the same `core/s3`
  implementation, so the full S3 shell-command set applies. See the
  [S3 resource](/python/resource/s3) for the complete command reference,
  range reads, streaming, and the index cache fast path.
- For credential setup, see [Wasabi Setup](/home/setup/wasabi).