parseTweets

Tweet parser built on Celery, RabbitMQ with a Flask API as frontend. Developed for the Applied Cloud Computing fall 2015 class at Uppsala University.

Program flow

When running the main.py a parse_tweets task started to run asynchronously on the celery worker.

Start a RabbitMQ server by runnig rabbitmq-server. If rabbitmq is not installed, go ahead and install it

$ rabbitmq-server

Start a celery worker that can run the celeryapp. If celery is not installed, go ahead and install it

$ celery -A celeryapp.celeryapp worker --loglevel=info

Run the main.py script. Open the browser at localhost:5000 and amaze over the out put

$ python main.py

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
templates		templates
worker_vm		worker_vm
.gitignore		.gitignore
README.md		README.md
flaskapp.py		flaskapp.py
main.py		main.py
tasks.py		tasks.py
twitterparser.py		twitterparser.py