def POST(self):
form = web.input(search_term="Donald Trump")
searchTerm = form.search_term
numberTweets = form.num
filename = searchTerm.replace(" ","")+".csv"
#save tweets to csv file
saveData(searchTerm, filename, numberTweets)
#read the saved file
arr = readCSV(filename)
#Use Alchemy API to get sentiment and save as csv
writeResult(arr, "out"+filename, searchTerm)
arr, info = readData("out"+filename)
#Save Graph
keyword = ["Positive","Negative","Neutral"]
plt.clf()
ax = plt.subplot(111)
y = np.arange(len(keyword))
ax.bar(y[0], info[0], color='g', align='center')
ax.bar(y[1], info[1], color='r', align='center')
ax.bar(y[2], info[2], color='b', align='center')
#plt.bar(y, info, align='center')
fig = plt.gcf()
plt.xticks(y, keyword)
imagePath = "static/"+filename.replace(".csv",".png")
fig.savefig(imagePath)
return render.index(arr = arr, imagePath=imagePath)
def POST(self):
form = web.input(search_term="Donald Trump")
searchTerm = form.search_term
numberTweets = form.num
filename = searchTerm.replace(" ", "") + ".csv"
#save tweets to csv file
saveData(searchTerm, filename, numberTweets)
#read the saved file
arr = readCSV(filename)
#Use Alchemy API to get sentiment and save as csv
writeResult(arr, "out" + filename, searchTerm)
arr, info = readData("out" + filename)
#Save Graph
keyword = ["Positive", "Negative", "Neutral"]
plt.clf()
ax = plt.subplot(111)
y = np.arange(len(keyword))
ax.bar(y[0], info[0], color='g', align='center')
ax.bar(y[1], info[1], color='r', align='center')
ax.bar(y[2], info[2], color='b', align='center')
#plt.bar(y, info, align='center')
fig = plt.gcf()
plt.xticks(y, keyword)
imagePath = "static/" + filename.replace(".csv", ".png")
fig.savefig(imagePath)
return render.index(arr=arr, imagePath=imagePath)
def index():
if request.method == 'POST':
#form = web.input(search_term="Donald Trump")
searchTerm = request.form['search_term']
numberTweets = request.form['num']
filename = searchTerm.replace(" ","")+".csv"
#save tweets to csv file
arr = saveData(searchTerm, filename, numberTweets)
#Use Alchemy API to get sentiment and save as csv
print "Entering writeresult"
alchemyResult = threadCaller(arr, "out"+filename, searchTerm)
#alchemyResult = writeResult(arr, "out"+filename, searchTerm)
arr, info = getReadings(alchemyResult)
print "after write result"
# arr, info = readData("out"+filename)
#Save Graph
keyword = ["Positive","Negative","Neutral"]
plt.clf()
ax = plt.subplot(111)
y = np.arange(len(keyword))
ax.bar(y[0], info[0], color='g', align='center')
ax.bar(y[1], info[1], color='r', align='center')
ax.bar(y[2], info[2], color='b', align='center')
#plt.bar(y, info, align='center')
fig = plt.gcf()
plt.xticks(y, keyword)
imagePath = "static/"+filename.replace(".csv",".png")
fig.savefig(imagePath)
return render_template("index.html",arr = arr, imagePath=imagePath, info=info)
else:
return render_template("form.html")
def get_tasks():
print "hahah"
if 'name' in request.args:
searchTerm = request.args['name']
numberTweets = 100
filename = searchTerm.replace(" ","")+".csv"
arr = saveData(searchTerm, filename, numberTweets)
print "Entering writeresult"
alchemyResult = threadCaller(arr, "out"+filename, searchTerm)
arr, info = getReadings(alchemyResult)
print searchTerm
return jsonify({'Analysis':{'Positive':info[0],'Negative':info[1],'Neutral':info[2]},'Tweets':arr})
else:
return jsonify({"test":tasks})
