Kyle Banks KyleBanks

## including_external_package_in_dataflow.md

      
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              February 2, 2024 11:40
            
              
                Adding an extra package to a Python Dataflow project to run on GCP
              
          
    The Problem

The documentation for how to deploy a pipeline with extra, non-PyPi, pure Python packages on GCP is missing some detail. This gist shows how to package and deploy an external pure-Python, non-PyPi dependency to a managed dataflow pipeline on GCP.
TL;DR: You external package needs to be a python (source/binary) distro properly packaged and shipped alongside your pipeline. It is not enough to only specify a tar file with a setup.py.
Preparing the External Package

Your external package must have a proper setup.py. What follow is an example setup.py for our ETL package. This is used to package version 1.1.1 of the etl library. The library requires 3 native PyPi packages to run. These are specified in the install_requires field. This package also ships with custom external JSON data, declared in the package_data section. Last, the setuptools.find_packages function searches for all available packages and returns that

  
## README
put card.xml in your drawables directory, put colors.xml in your values directory or add the colors to your colors.xml file.


set the background of a view to card,
as you can see in card.xml the drawable handles the card margin, so you don't have to add a margin to your view


 ``` xml
<View
  android:layout_width="fill_parent"
	put card.xml in your drawables directory, put colors.xml in your values directory or add the colors to your colors.xml file.


	set the background of a view to card,
	as you can see in card.xml the drawable handles the card margin, so you don't have to add a margin to your view


	``` xml
	<View
	android:layout_width="fill_parent"