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You can create rich, powerful abstractions for your team, or rely on a marketplace of components built by Dagster and our partners for the same quality of integrations you've come to expect, but with a simplified implementation. A built-in documentation feature allows you to easily document, browse, and understand components and their attributes to make developing easier.
```testing backticks```
type: dagster_dbt.DbtProjectComponent
attributes:
project: "{{project_root}}//dbt/birddbt"
translation:
key: "{{node.name}}"
testing more copy
You can create rich, powerful abstractions for your team, or rely on a marketplace of components built by Dagster and our partners for the same quality of integrations you've come to expect, but with a simplified implementation. A built-in documentation feature allows you to easily document, browse, and understand components and their attributes to make developing easier.
@dg.asset(kinds=["python"], group_name="raw_data")
def checklist_2020(context: dg.AssetExecutionContext):
extracted_names, elapsed_times = download_and_extract_data(
context, constants.CHECKLIST_2020
)
return dg.MaterializeResult(
metadata={
"names": extracted_names,
"num_files": len(extracted_names),
"elapsed_time": elapsed_times,
},
)
@dg.asset(kinds=["python"], group_name="raw_data")
def checklist_2023(context: dg.AssetExecutionContext):
extracted_names, elapsed_times = download_and_extract_data(
context, constants.CHECKLIST_2023
)
return dg.MaterializeResult(
metadata={
"names": extracted_names,
"num_files": len(extracted_names),
"elapsed_time": elapsed_times,
},
)
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