Ian Huston ihuston

## Flask on CF.md

      
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                ihuston
                / Flask on CF.md
            
            
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              February 11, 2023 19:16
            
              
                Simple Flask application for Cloud Foundry
              
          
    Simple Python Flask app on Cloud Foundry

This is a (very) simple Flask application that shows how the built-in Python buildpack detection on Cloud Foundry works.
To push to Cloud Foundry, log in and then use
$ cf push myapp-name

Python on Cloud Foundry


## concourse_bumpme
e

## app.py
from io import StringIO
import requests
import pandas as pd
r = requests.get("https://www.plants.usda.gov/java/downloadData?fileName=plantlst.txt&static=true").text
df = pd.read_csv(StringIO(r))
print(df)
while True:
    pass
exit(0)

## Spyre app on Cloud Foundry
## PyData stack on Cloud Foundry
The current Python buildpack uses `pip` to install dependencies. Anyone who has tried to install NumPy or SciPy using `pip` knows that the process can be lengthy and painful often requiring manual intervention to correct library paths and install Fortran compilers.

Fortunately [Continuum Analytics'](http://continuum.io/) [conda package manager](conda.pydata.org) was created to solve these problems by packaging and distributing the standard tools of the Python data stack in compiled binaries.

I wanted to build web apps on Cloud Foundry using the PyData stack so with help from [a colleague](https://github.com/nebhale) I have written a [Cloud Foundry buildpack](https://github.com/ihuston/python-conda-buildpack) which uses both conda and pip to install required packages.

You can specify packages to be installed by `conda` in the `conda_requirements.txt` file and these will be installed first, followed by packages in the `requirements.txt` which will be installed as usual by `pi
	from io import StringIO
	import requests
	import pandas as pd
	r = requests.get("https://www.plants.usda.gov/java/downloadData?fileName=plantlst.txt&static=true").text
	df = pd.read_csv(StringIO(r))
	print(df)
	while True:
	pass
	exit(0)
	## PyData stack on Cloud Foundry
	The current Python buildpack uses `pip` to install dependencies. Anyone who has tried to install NumPy or SciPy using `pip` knows that the process can be lengthy and painful often requiring manual intervention to correct library paths and install Fortran compilers.

	Fortunately [Continuum Analytics'](http://continuum.io/) [conda package manager](conda.pydata.org) was created to solve these problems by packaging and distributing the standard tools of the Python data stack in compiled binaries.

	I wanted to build web apps on Cloud Foundry using the PyData stack so with help from [a colleague](https://github.com/nebhale) I have written a [Cloud Foundry buildpack](https://github.com/ihuston/python-conda-buildpack) which uses both conda and pip to install required packages.

	You can specify packages to be installed by `conda` in the `conda_requirements.txt` file and these will be installed first, followed by packages in the `requirements.txt` which will be installed as usual by `pi