From 2c758dfa55a2f817fe846e8648106e1845e10150 Mon Sep 17 00:00:00 2001
From: Sebastian Steiner <e1029038@student.tuwien.ac.at>
Date: Thu, 8 Nov 2018 17:35:13 +0100
Subject: [PATCH] Implementation for sentiment analysis plus Dockerfile

---
 service-analysis/Dockerfile            | 14 ++++++++++-
 service-analysis/sentiment_analysis.py | 33 ++++++++++++++++++++++++++
 2 files changed, 46 insertions(+), 1 deletion(-)
 create mode 100644 service-analysis/sentiment_analysis.py

diff --git a/service-analysis/Dockerfile b/service-analysis/Dockerfile
index b09b037..976abd1 100644
--- a/service-analysis/Dockerfile
+++ b/service-analysis/Dockerfile
@@ -1 +1,13 @@
-FROM alpine:latest
+FROM	python:3
+LABEL	maintainer="Sebastian Steiner"
+
+RUN		pip install flask
+RUN		pip install flask_restful
+RUN		pip install indicoio
+
+WORKDIR	/app
+COPY	. /app/
+
+RUN		chmod a+x *.py
+
+CMD		["python3", "./sentiment_analysis.py"]
diff --git a/service-analysis/sentiment_analysis.py b/service-analysis/sentiment_analysis.py
new file mode 100644
index 0000000..d9836af
--- /dev/null
+++ b/service-analysis/sentiment_analysis.py
@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+import json
+import indicoio
+
+from flask import Flask, request
+from flask_restful import Resource, Api
+
+app = Flask(__name__)
+api = Api(app)
+
+indicoio.config.api_key = '525f16078717a430f9dac17cdc9dbaa3'
+
+class Sentiment_Analysis(Resource):
+	def get(self):
+		return "correct usage: curl -H 'content-type: application/json' -X POST http://localhost:8081 -d '$your JSON here$'"
+		
+	def post(self):
+		tweets = request.json
+		value = 0
+		for tweet in tweets:
+			#possible performance improvement: batch sentiment: indicoio.sentiment($list_of_texts$)
+			sentiment_value = indicoio.sentiment(tweet['text'])
+			value += sentiment_value
+			#returns number between 0 and 1. 
+			#it is a probability representing the likelihood that the analyzed text is positive or negative
+			#values > 0.5 indicate positive sentiment
+			#values < 0.5 indicate negative sentiment
+		return value/len(tweets)
+				
+api.add_resource(Sentiment_Analysis, '/')
+
+if __name__ == '__main__':
+	app.run(host="0.0.0.0", port=8081, debug=False)
-- 
2.43.0