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app.py
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app.py
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import requests
import json
import sys
import numpy as np
import time
if __name__ == '__main__':
if len(sys.argv) > 1:
ticker = sys.argv[1]
else:
ticker = "SNAP"
r = requests.get("http://localhost:5000/news?ticker=%s" %ticker)
listOfLinks = r.json()
emotions = dict()
pricing = requests.get("http://localhost:5003/stock/%s" % ticker)
pricing = pricing.json()
print "============ %s =============" %time.strftime("%c")
print pricing['symbol'], pricing["price"], pricing["name"]
print "======= Running analysis on %d links =======" %len(listOfLinks)
for link in listOfLinks:
q = requests.get("http://localhost:5001/scrape?url=%s" %link)
content = q.content.decode('unicode_escape').encode('ascii','ignore')
payload = {"text": content}
headers = {'Content-Type': 'application/json'}
z = requests.post("http://localhost:5002/analyze", json=json.dumps(payload), headers=headers)
jsoninfo = z.json()
if 'document_tone' in jsoninfo:
for tonesuper in jsoninfo['document_tone']['tone_categories']:
for tonecat in tonesuper['tones']:
if (emotions.get(tonecat['tone_name']) is None):
emotions[tonecat['tone_name']] = []
emotions.get(tonecat['tone_name']).append(float(tonecat['score']))
emotions["Normal"] = np.random.normal(0.5, 0.341, len(listOfLinks))
# print "%s %s (%s)" %pricing["price"], pricing["name"], pricing["symbol"]
print "%sMean\tVar\t\tStd\t\t\t(%s samples)" %('{0: <20}'.format('Emotion'),len(emotions.get("Anger")))
for key,value in emotions.iteritems():
u = np.mean(value)
var = np.var(value)
std = np.std(value)
print "%s%.4f\t%.4f\t%.4f" %('{0: <20}'.format(key), u, var, std)