dwreeves opened a new issue, #56508:
URL: https://github.com/apache/airflow/issues/56508
### Description
I'm not sure how big this is, but I imagine this is small enough to not
require an AIP.
Example of what this could look like:
```python
from airflow.plugins_manager import AirflowPlugin
from airflow.cli.cli_config import (
ActionCommand,
GroupCommand,
)
def function():
print("Hello, world!")
class ExamplePlugin(AirflowPlugin):
name = "example"
cli_commands = [
GroupCommand(
name="example",
help="Example command from plugin",
description=(
"This runs all example commands"
),
subcommands=[
ActionCommand(
name="subcommand",
help="Run a subcommand",
func=function,
)
],
),
]
```
### Use case/motivation
The main motivation that comes to mind is Cosmos:
https://github.com/astronomer/astronomer-cosmos Cosmos is a library that runs
dbt in Airflow. dbt is a command-line tool that orchestrates, manages, and runs
SQL queries. It would be a big quality-of-life upgrade if Cosmos were able to
execute `dbt` commands with something like: `airflow cosmos --project foo dbt
run --select bar`.
Right now many users struggle to execute dbt via the command line when it's
configured for Airflow. I personally use a weird setup to execute one-off runs
of dbt models that I expect many users would not know how to do themselves.
Some advantages for Cosmos, and more generally:
- Would hook easily into config configured in the user's Airflow instance.
- Could be used to execute one-off commands. This is a popular use case for
dbt; many more savvy users already have an unscheduled parameterized DAG
devoted to executing manual dbt commands. There are, however, many other
commands that users might want to run directly from the CLI. E.g. imagine if
something like the [maintenance
DAGs](https://github.com/teamclairvoyant/airflow-maintenance-dags) repo had a
CLI.
### Related issues
_No response_
### Are you willing to submit a PR?
- [x] Yes I am willing to submit a PR!
### Code of Conduct
- [x] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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