> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mirage.strukto.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Scaleway

> Mount a Scaleway Object Storage bucket via its S3-compatible API.

The Scaleway resource is a thin wrapper over the [S3 resource](/python/resource/s3).
It maps a `ScalewayConfig` to an `S3Config` and reuses the exact same backend,
commands, and behavior as S3, it just derives the right endpoint from `region`.
Uses aioboto3 against Scaleway Object Storage's S3-compatible API.

The endpoint is computed from `region` as `s3.<region>.scw.cloud`
(e.g. `s3.fr-par.scw.cloud`). Pass `endpoint_url` to override.

## Config

```python theme={null}
import os

from mirage import MountMode, Workspace
from mirage.resource.scaleway import ScalewayConfig, ScalewayResource

config = ScalewayConfig(
    bucket=os.environ["SCW_BUCKET"],
    region=os.environ.get("SCW_REGION", "fr-par"),
    access_key_id=os.environ["SCW_ACCESS_KEY"],
    secret_access_key=os.environ["SCW_SECRET_KEY"],
    # Optional:
    # endpoint_url="https://s3.fr-par.scw.cloud",
    # timeout=30,
    # proxy="http://proxy:8080",
)
resource = ScalewayResource(config)
ws = Workspace({"/data": resource}, mode=MountMode.READ)
```

Both `READ` and `WRITE` modes are supported.

## Example

```python theme={null}
import asyncio
import os

from dotenv import load_dotenv

from mirage import MountMode, Workspace
from mirage.resource.scaleway import ScalewayConfig, ScalewayResource

load_dotenv(".env.development")

config = ScalewayConfig(
    bucket=os.environ["SCW_BUCKET"],
    region=os.environ.get("SCW_REGION", "fr-par"),
    access_key_id=os.environ["SCW_ACCESS_KEY"],
    secret_access_key=os.environ["SCW_SECRET_KEY"],
)
resource = ScalewayResource(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

* Scaleway 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 [Scaleway Setup](/home/setup/scaleway).