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dagster

Hey there! I'm having a hard time trying to connect an upstream `dbt` asset. I've created a simple asset (file on disk) and I want to make `dbt` understand that's an upstream requirements. I'm trying to do it without messing with PandasIO Manager. Is there something I might be missing?

This is the asset definition: <https://github.com/davidgasquez/open-source-data-stack/blob/dagster/dag/dagster_hits.py>

This is the dbt asset loading: <https://github.com/davidgasquez/open-source-data-stack/blob/dagster/dag/__init__.py>

hi <@U04KY9ZN7C0>! the big thing here is just to make sure that the AssetKey of your upstream asset aligns with the key that's generated for the source in your dbt project. By default, we generated a key of `AssetKey(["main", "hits"])` for the source in your dbt project (i.e., the `main / hits` that you see in that screenshot), so you'll want to make sure your python asset matches up with that name. One way to do that would be to change your asset decorator to
```@asset(key_prefix="main")
def hits():
    ...```

Thanks! Let me try that :slightly_smiling_face:

If I may ask another probably silly question. Is there a way I could easily run a docker container locally as an op locally? I've tried with the docker executor but I'm struggling to find examples

hm I'm not the best person to ask on that front -- I'd recommend posting a new question in this channel (just so it doesn't get lost)