FAC_guidebook 🍔(v) (vg) (gf)

An app for food and drinks recommendations around Finsbury Park!

User Stories 🤔

As a user I want to be able to:

• View existing recommendations for restaurants/cafes/pubs in the area
• Add my own recommendation for a restaurant/cafe/pub in the area
• Review/comment on existing recommendations

How to run our project 🎉

clone this repo

npm i

npm test to see tests if you're into that (this might not work actually because of authentication)

npm start to run server

open localhost:5000

party 👽

Planning Process:

What we learned: Day 1:

• How to reference primary keys and foreign keys

USERS TABLE
id SERIAL PRIMARY KEY

POSTS TABLE
user_id INTEGER REFERENCES users(id)

• When you CREATE DATABASE - it will automatically turn any upper case chars into lower case!!! So you may need to go and change that in your config.env and other places
• SQL files are grey in Github!

What we learned: Day 2:

1.With our real database and our test database, we needed to know how to switch between the two:

"test": "node src/test/test_server.js | tap-spec && NODE_ENV=test node src/test/test_db.js | tap-spec",

An environment variable!

2. How to add a new column to table. Amended the build.js file

3. You can't export your dbBuilder function if it has this:

//         console.log("connection closed");
//       });

we think??

Issues Raised: 👺

1. Usability: Should redirect back to homepage after submitting form.

   How we fixed:

   res.writeHead(302, {
          Location: "http://localhost:5000"
        });
        res.end();
   

2. Security vulnerability: script injections!

   How we fixed (maybe?):

   <input pattern="^[^<>]+$"......./>
   

3. Would be nice to display the review of the restaurant to the user?

   How we fixed: Just handled that data. Did the same for image url!

Stretch goals: ⚽

• Make a call to the Google Maps API when user selects a recommendation and show on map

• Click and be taken to website/Directly make booking to the specific restaurant/cafe/pub

• Link SQL tables - use the posts table in order to link between unique restaurants and unique users

• This would give us loads of amazing functionality - like filtering recommendations by user, or recognising users that already exist or places that have already been submitted, and not creating duplicates in our tables...