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Welcome to the Axxelerate wiki!

Technologies we used:

For this project we will be implementing a search engine. We'll figure out how to best store the neccessary information in MariaDB, collect data from a limited number of pages, and create a simple web server and web interface for quering our database. One of the things that makes or breaks a search engine is the quality of its ranking. We'll likely start with a really simple ranking system and see how much time we have left after that.

• Scrapy to collect data and insert it in the DB
• MariaDB for our database
• Flask to implement our webserver
• Angular and Material Design for our web interface.

Running:

This file will contain info regarding the process of getting this up and running.

You will need python 2.7.x and pip.

Run pip install virtualenv --user.

In this repo, you can now run virtualenv env.

Now run source env/bin/activate.

Then run pip install -r requirements.txt to pull in the python packages that are require.

To run the webserver for the frontend, run FLASK_APP=server.py flask run.