#!/usr/bin/env python

import sys, json
sys.path.append('/home/sentiment-analyser/')

from threading import Thread

from src.utils.jsonLogger import setup_logging, log
import analyser.sentimentAnalyser as sentimentAnalyser

from flask import Flask, request

from probes.probes import runFlaskProbes

app = Flask(__name__)
analyser = sentimentAnalyser.get_sentiment()

@app.route('/sentiment', methods=['GET'])
def tweetPredict():
    tweet = request.args.get('tweet')

    log("Receiving Tweet to classify {}".format(tweet), 'INFO')

    result = analyser.get_vader_sentiment(tweet)

    log("Returning classification result of {}".format(result), 'INFO')

    return json.dumps({'result': result, 'tweet': tweet}), 200, {'ContentType':'application/json'}

def callSentimentAnalyser():
    analyser.set_newSentiment()

    app.run(port=9090, host="0.0.0.0")

def callProbes():
    runFlaskProbes()

if __name__ == '__main__':
    setup_logging()

    log("Starting Spam Filter...", 'INFO')
    sys.stdout.flush()

    Thread(target=callProbes).start()

    Thread(target=callSentimentAnalyser).start()
    # Thread(target=callNewsFilter).start()