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The Scaleway resource is a thin wrapper over the S3 resource. 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.

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Config

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.

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Example

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 for the complete command reference, range reads, streaming, and the index cache fast path.
  • For credential setup, see Scaleway Setup.