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Setup on AWS - C9

touch mongodb-org-3.6.repo

Open mongodb-org-3.6.repo and save below code

[mongodb-org-3.6]
name=MongoDB Repository
baseurl=https://repo.mongodb.org/yum/amazon/2013.03/mongodb-org/3.6/x86_64/
gpgcheck=1
enabled=1
gpgkey=https://www.mongodb.org/static/pgp/server-3.6.asc

sudo mv mongodb-org-3.6.repo /etc/yum.repos.d
sudo yum install -y mongodb-org

mkdir datda
echo 'mongod --dbpath=data --nojournal' > mongod
chmod a+x mongod

Run ./mongod

Understanding the Basic Structure and Flow of Program

Flow List

1. User logs into the app
2. Login fires a GET request to the server with customer_id (either hosted locally or online)
3. Server routes requests accordingly (server setup with (NodeJS) and (ExpressJS)
   • one goes to TD_Davinci_API_Closest_Branch.py where a GET request is made to TD's Davinci API to retrieve customer's and customer's nearest branch location in geographical coordinates

      customer_details = requests.get(
         'https://api.td-davinci.com/api/customers/'+customer_id,
         headers = { 'Authorization': API_KEY }
      )

   • the other is processed within the server to query matching customer data from the database(mongoDB) which holds a demo data that was generated using K-mean algorithms from (scikit-learn)
4. Retrieved data is then presented to the app's UI to display appropriate bank account/credit card information catered to each user along with a map that displays the location of a TD branch that is nearest to the user's home address (GOOGLE MAPS API)