Internal Server Error!

Hi all!

Back again here with a flask question. I am a beginner and learn some awesome things from reddit (how to legit code).

Here is my code that I have grabbed certain information from an API that I am now trying to host locally through flask.

from flask import Flask, render_template
import httplib
import json

app = Flask(__name__)


@app.route('/')
def index():
connection = httplib.HTTPConnection('api.football-data.org')
headers = {'X-Auth-Token': 'this is my api token here', 'X-Response-Control': 'minified'}
connection.request('GET', '/v1/competitions/426/leagueTable', None, headers)
response = json.loads(connection.getresponse().read().decode())
return response


if __name__ == '__main__':
app.run()



When I run 127.0.0.1:5000 I get:

Internal Server Error

The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.


Here is what my server is telling me!

MacBooks-MBP:Football macbookpro13$ python Footy_Web.py
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
[2016-12-20 13:58:17,493] ERROR in app: Exception on / [GET]
Traceback (most recent call last):
File "/Library/Python/2.7/site-packages/flask/app.py", line 1988, in wsgi_app
response = self.full_dispatch_request()
File "/Library/Python/2.7/site-packages/flask/app.py", line 1642, in full_dispatch_request
response = self.make_response(rv)
File "/Library/Python/2.7/site-packages/flask/app.py", line 1746, in make_response
rv = self.response_class.force_type(rv, request.environ)
File "/Library/Python/2.7/site-packages/werkzeug/wrappers.py", line 847, in force_type
response = BaseResponse(*_run_wsgi_app(response, environ))
File "/Library/Python/2.7/site-packages/werkzeug/wrappers.py", line 57, in _run_wsgi_app
return _run_wsgi_app(*args)
File "/Library/Python/2.7/site-packages/werkzeug/test.py", line 871, in run_wsgi_app
app_rv = app(environ, start_response)
TypeError: 'dict' object is not callable
127.0.0.1 - - [20/Dec/2016 13:58:17] "GET / HTTP/1.1" 500 -




I should mention this code works outside of the flask framework!





EDIT:

I HAVE SOLVED THIS THANKS TO STACKOVERFLOW:

I NEEDED TO print(jsonify(response))

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* Criterion is always half of d prime.

The goal is to find the probability of 'no error' data: zero counts for Miss and FA.
As I simulate use d prime from 0 to 40 in step size of 0.5, I found a probability shape like [graph](https://github.com/adowaconan/simulation/blob/master/lab%202.ipynb) in **Q3A**.
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Say give a data set that is 'no error':
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serving static files help error

So I have a flask app that takes a csv then display the graph of the csv my problem is that the graph it displays does not update when I change the csv to something else even though I have route defined and it is called


@app.route("/static/<figName>",methods=['post','get'])
def renderFigure(figName):
fileLocation = os.getcwd()+"\\static\\"
print("rendering image",figName)
return send_from_directory(fileLocation, figName)

heres the html

<img src="{{ url_for('static', filename=figName) }}"} alt="..." class="img-thumbnail">

It always displays the same graph the first one I dont know why even though in the actual directory the file is updated any help is greatly appreciated.
Sorry the error is that it my other route does not call this one so my question is how to call it

@app.route("/fileAnalysis",methods=['post','get'])
def fileAnalysis():
if request.method=="POST":
option = request.form['graphSelection']
f =request.files['fileUpload']
currentDir = os.getcwd()

if not f:
print("not file entered")
elif option!="Average likes for top commentators":
file_contents = f.stream.read().decode("latin-1")
print("before writing to the file")
newFile= open("statsFile.csv","w+",encoding='latin-1')
newFile.write(file_contents)
newFile.close()
print("wrote to file ")
print(type(file_contents))
if option=="Comments by hour of the day":
print("in top comments of hour of the day")
groupByHour.saveHourGraph("statsFile.csv")
return render_template("graph.html",figName=("commentsByHour.png"),title="Comments per hour of the day")
elif option=="Top Commentators":
topComments.makeTopCommentsGraph("statsFile.csv")
return render_template("graph.html",figName=("topCommentators.png"),title="top 100 commentators and the number of comments over a period of time")
elif option=="General Statistics":
dfComments = pd.read_csv("statsFile.csv", parse_dates=['comment_published'],encoding="latin-1")
print("hello world statistics")
return render_template("generalStats.html",dFrame=dfComments.describe(percentiles=[0.25,0.5,0.75,0.85,0.9,0.95,0.97,0.98,0.99]).to_html(classes="table table-striped"),title="General statistics on the file including mean ,standard deviation and percentiles of count of comment")
elif option=="Average likes for top commentators":
print("in average likes for top commentators need 2 files")
postsFile = request.files['fileUploadLikes']
if not f or not postsFile:
print("need to enter both files")
else:
file_contents = f.stream.read().decode("latin-1")
filePostsContents= postsFile.stream.read().decode("latin-1")
print("before writing to the file")
newFile= open("statsFile.csv","w+",encoding='latin-1')
newFile.write(file_contents)
newFile.close()
newFile= open("postsFile.csv","w+",encoding='utf-8')
newFile.write(filePostsContents)
newFile.close()

print("wrote to both files")
averageComments.getAverageLikes("statsFile.csv","postsFile.csv")
return render_template("graph.html",figName=("averageComments.png"),title="Average Comments for top 500 users")


print(option)
print("posted file ")
return render_template("fileAnalysis.html")

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