karthi-keyan-n commented on PR #45066:
URL: https://github.com/apache/airflow/pull/45066#issuecomment-2644747627

   > checkout airflow repo
   install breeze: uv pip install -e ./dev/breeze
   breeze release-management prepare-provider-packages databricks 
--version-suffix-for-pypi dev0
   Install resulting package that will be placed in dist.
   
   Hey @potiuk I followed your steps to install and validate. But got stuck 
post that. 
   
   
   1. I executed the commands which you shared and it generate .whl file in 
dist directory. 
`dist/apache_airflow_providers_databricks-7.0.0.dev0-py3-none-any.whl`
   2. I googled and found the command `pip install 
dist/apache_airflow_providers_databricks-7.0.0.dev0-py3-none-any.whl` to 
install the wheel packages.
   3. I executed the command in the same directory (airflow source code) and I 
guess it install airflow there. (This is my assumption)
   
   Other things which I tried was,
   
   1. Build a docker container from my dev machine and tried to substitute it 
with the apache/airflow docker image in my custom airflow code to bring up the 
airflow env. Post this, I triggered the DAG and I saw only notebook params 
field in `rendered template` section.
   <img width="672" alt="image" 
src="https://github.com/user-attachments/assets/20897eb5-8abd-4eea-a8cd-b0ec5b42982e";
 />
   2. I did some digging and went through the docker file and found `ARG 
AIRFLOW_VERSION="2.10.4"` in docker file. 
   3. I also went through the `INSTALL` doc within the airflow source code repo 
to bring up the test env.
   
   If you don't mind, would you able to point me to the right direction from 
where I can setup in my local and validate? It would be great if you can share 
the doc for substituting the official airflow image with the custom build image 
from source code which will make the task earlier to quickly validate
   


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