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chore: Version v3.0.0 bump
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README.md

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@@ -21,7 +21,7 @@ Before using *airflow-dbt-python*, ensure you meet the following requirements:
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* If using any managed service, like AWS MWAA or GCP Cloud Composer 2/3, ensure your environment is created with a supported version of Airflow.
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* If self-hosting, Airflow installation instructions can be found in their [official documentation](https://airflow.apache.org/docs/apache-airflow/stable/installation/index.html).
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* Running Python 3.8 or later in your Airflow environment.
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* Running Python 3.9 or later in your Airflow environment.
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> **Warning**
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>

airflow_dbt_python/__version__.py

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__author__ = "Tomás Farías Santana"
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__copyright__ = "Copyright 2021 Tomás Farías Santana"
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__title__ = "airflow-dbt-python"
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__version__ = "2.2.0"
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__version__ = "3.0.0"

docs/getting_started.rst

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------------
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Before using *airflow-dbt-python*, ensure you meet the following requirements:
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* A *dbt* project using `dbt-core <https://pypi.org/project/dbt-core/>`_ version 1.0.0 or later.
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* An Airflow environment using version 2.2 or later.
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* A *dbt* project using `dbt-core <https://pypi.org/project/dbt-core/>`_ version 1.8 or later.
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* An Airflow environment using version 2.8 or later.
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* If using any managed service, like AWS MWAA, ensure your environment is created with a supported version of Airflow.
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* If using any managed service, like AWS MWAA or GCP Cloud Composer 2/3, ensure your environment is created with a supported version of Airflow.
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* If self-hosting, Airflow installation instructions can be found in their `official documentation <https://airflow.apache.org/docs/apache-airflow/stable/installation/index.html>`_.
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* Running Python 3.7 or later in your Airflow environment.
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* Running Python 3.9 or later in your Airflow environment.
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.. warning::
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Even though we don't impose any upper limits on versions of Airflow and *dbt*, it's possible that new versions are not supported immediately after release, particularly for *dbt*. We recommend testing the latest versions before upgrading and `reporting any issues <https://github.com/tomasfarias/airflow-dbt-python/issues/new/choose>`_.
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.. note::
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Older versions of Airflow and *dbt* may work with *airflow-dbt-python*, although we cannot guarantee this. Our testing pipeline runs the latest *dbt-core* with the latest Airflow release, and the latest version supported by `AWS MWAA <https://aws.amazon.com/managed-workflows-for-apache-airflow/>`_.
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Older versions of Airflow and *dbt* may work with *airflow-dbt-python*, although we cannot guarantee this. Our testing pipeline runs the latest *dbt-core* with the latest Airflow release, and the latest version supported by `AWS MWAA <https://aws.amazon.com/managed-workflows-for-apache-airflow/>`_ and `GCP Cloud Composer 2/3 <https://aws.amazon.com/managed-workflows-for-apache-airflow/>`_.
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Installation
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------------
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.. code-block:: shell
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:caption: requirements.txt
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/usr/local/airflow/plugins/airflow_dbt_python-1.0.0-py3-none-any.whl
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/usr/local/airflow/plugins/airflow_dbt_python-3.0.0-py3-none-any.whl
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Accessing a *dbt* project
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-------------------------

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