Web Diary

A personal diary web application with sentiment analysis.

Structure

backend/ - Handles getting and sending data to the MongoDB database. Also sends data to the models to preform sentiment analysis.

frontend/ - Provides AAA using Auth0. Allows user to view, add, and update diary entries.

models/ - Does sentiment analysis.

proxy/ - Does a reverse proxy and provides tls using NGINX.

Start Up Guide

1. Setup MongoDB:

   1. Create a MongoDB account here: https://www.mongodb.com/.
   2. Create a collection called diary_entries and a database called: diary_entries_db.

2. Setup Auth0:

   1. Create an Auth0 account here: https://auth0.com/.
   2. Create a new Single Page Web Application.

3. Set config files:

   1. Create backend/config.json:

   {
       "mongodb": {
           "username": "USERNAME",
           "password": "PASSWORD",
           "collection": "diary_entries",
           "url": "MONGO_ENDPOINT.mongodb.net"
       }
   }

   2. Create frontend/src/assets/config.json:

   {
       "auth0": {
           "domain": "AUTH0_ENDPOINT.auth0.com",
           "client_id": "CLIENT_ID" 
       }
   }

   3. Create models/config.json

   {
       "mongodb": {
           "username": "USERNAME",
           "password": "PASSWORD",
           "collection": "diary_entries",
           "url": "MONGO_ENDPOINT.mongodb.net"
       }
   }

4. Create a certificate authority:

   1. CA with OpenSSL, add this to your browser or OS.
   2. openssl req -now -nodes -out DOMAIN_NAME.csr -newkey rsa:4096 -keyout DOMAIN_NAME.key -subj 'CN=COMMON_NAME/C=COUNTRY/ST=STATE/L=LOCATION/O=ORGANIZATION'
   3. openssl x509 -req -in DOMAIN_NAME.csr -CA /PATH/TO/CA/ca.pem -CAkey /PATH/TO/CA/ca.key -CAcreateserial -out DOMAIN_NAME.crt -days 1095 -sha256 -extfile DOMAIN_NAME.ext

5. Add the frontend, backend, and models path into your /etc/hosts. Format should follow: 127.0.0.1\tyour_subject_alt.your_fake_domain.com

6. Create a wildcard certificate that will be used for the frontend, backend, and models. Save this in proxy/tls.

7. Build with docker-compose build

8. Launch with docker-compose up