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publish to v0.0.1-alpha #7
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setup.py
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from distutils.core import setup |
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why do we need setup.py/cfg? Isn't everything in the pyproject.toml?
GETTING_STARTED.md
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* **flow_kwargs**: A dictionary of Prefect flow arguments. | ||
Here's a basic example of how to use dbt_flow(): | ||
```python | ||
my_flow = dbtFlow.dbt_flow( |
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this code is not correct
GETTING_STARTED.md
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from prefect_dbt_flow import dbt_flow | ||
``` | ||
2. **Define the Prefect Flow:** | ||
Create a Prefect flow by initializing a `dbtFlow.dbt_flow` object. You can configure it with your dbt project, profile, and additional options: |
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just dbt_flow
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run the following comand to seed the csv files: | ||
```bash | ||
dbt seed |
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after we implement the seed command we need to remember to change this.
README.md
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## Inspiration | ||
Prefect-dbt-flow draws inspiration from various projects in the data engineering and workflow orchestration space, including: | ||
- cosmos by astronomer |
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README.md
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<a href="https://pepy.tech/project/prefect-dbt-flow"><img alt="Downloads" src="https://pepy.tech/badge/prefect-dbt-flow" /></a> | ||
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg" /></a> | ||
<a href="http://mypy-lang.org/"><img alt="Mypy checked" src="https://img.shields.io/badge/mypy-checked-1f5082.svg" /></a> | ||
<!-- <a href="https://pepy.tech/project/prefect-dbt-flow"><img alt="Codecov" src="https://codecov.io/github/datarootsio/databooks/main/graph/badge.svg" /></a> |
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remove this
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