> ## 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.

# Backblaze B2

> Mount a Backblaze B2 bucket via its S3-compatible API as a virtual filesystem.

The Backblaze resource is a thin wrapper over the [S3 resource](/python/resource/s3).
It maps a `BackblazeConfig` to an `S3Config` and reuses the exact same backend,
commands, and behavior as S3, it just derives the right B2 endpoint from
`region`. Uses aioboto3 against Backblaze B2's S3-compatible API.

The endpoint is computed from `region` as `s3.<region>.backblazeb2.com`. Pass
`endpoint_url` to override.

## Config

```python theme={null}
import os

from mirage import MountMode, Workspace
from mirage.resource.backblaze import BackblazeConfig, BackblazeResource

config = BackblazeConfig(
    bucket=os.environ["B2_BUCKET"],
    region=os.environ["B2_REGION"],          # e.g. us-west-004
    access_key_id=os.environ["B2_ACCESS_KEY_ID"],   # B2 application keyID
    secret_access_key=os.environ["B2_SECRET_ACCESS_KEY"],
    # Optional:
    # endpoint_url="https://s3.us-west-004.backblazeb2.com",
    # timeout=30,
    # proxy="http://proxy:8080",
)
resource = BackblazeResource(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.backblaze import BackblazeConfig, BackblazeResource

load_dotenv(".env.development")

config = BackblazeConfig(
    bucket=os.environ["B2_BUCKET"],
    region=os.environ["B2_REGION"],
    access_key_id=os.environ["B2_ACCESS_KEY_ID"],
    secret_access_key=os.environ["B2_SECRET_ACCESS_KEY"],
)
resource = BackblazeResource(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("find /data/ -name '*.csv'")
    print(await r.stdout_str())


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

## Notes

* Backblaze 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 [Backblaze B2 Setup](/home/setup/backblaze).