CODEWITHSUNDEEP
pythonamazon-web-servicesflaskscipyamazon-elastic-beanstalk
greenPlant
greenPlant

Reputation: 492

Unable to import scipy library using Flask & Elastic Beanstalk

I am trying to set up a Flask web app using Elastic Beanstalk on AWS. I have followed the tutorial here and that works fine. I am now looking to expand the Flask webapp, and this works fine, until I import scipy.spatial as spatial, when this is part of my import statements, running eb open just times out. I receive 

>>>> HTTP ERROR 504

running the webapp locally works absolutely fine even with the scipy import, it is only when I try and deploy to beanstalk that it doesn't want to work. Below is my code

import os
import requests
from bs4 import BeautifulSoup
import pandas as pd
import scipy.spatial as spatial  ##### Removing this and everything works!

from flask import Flask
from flask_cors import CORS
from flask_restful import Resource, Api
from flask_jsonpify import jsonify

# print a nice greeting.
def say_hello(username = "World"):
    df = pd.DataFrame({"a":[1,2,3]})
    return '<p>Hello %s!</p>\n' % username

# some bits of text for the page.
header_text = '''
    <html>\n<head> <title>EB Flask Test</title> </head>\n<body>'''
instructions = '''
    <p><em>Hint</em>: This is a RESTful web service! Append a username
    to the URL (for example: <code>/Thelonious</code>) to say hello to
    someone specific.</p>\n'''
home_link = '<p><a href="/">Back</a></p>\n'
footer_text = '</body>\n</html>'

# EB looks for an 'application' callable by default.
application = Flask(__name__)

# add a rule for the index page.
application.add_url_rule('/', 'index', (lambda: header_text +
    say_hello() + instructions + footer_text))

# add a rule when the page is accessed with a name appended to the site
# URL.
application.add_url_rule('/<username>', 'hello', (lambda username:
    header_text + say_hello(username) + home_link + footer_text))

# run the app.
if __name__ == "__main__":
    # Setting debug to True enables debug output. This line should be
    # removed before deploying a production app.
    application.debug = True
    application.run()

I have tried increasing the command timeout for the environment from 600 to 900, although the timeout error occurs well before 600 seconds has elapsed.

Upvotes: 1

Views: 59

Answers (1)

greenPlant
greenPlant

Reputation: 492

Right, I am not sure why this is the case but I updated the version of scipy in my requirements.txt and the app is working as expected!

Originally I had

scipy==1.4.1

Now I have

scipy==1.2.3

I have no idea why this has fixed the deployment issue, especially given 1.4.1 works perfectly locally. If anyone has an idea, or if this a bug I should be reporting it would be good to know!

Upvotes: 1

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