README.md

Mongo facets

These are the specific steps to build this demo of faceted search navigation implemented with the stack: VueJS, Flask, MongoDB.

Installing stuff

Everything assumes a MacOSX environment with brew, python, pip and virtualenvwrapper

Install mongo

$ brew install mongo

check if it works

$ mongo
MongoDB shell version v3.4.4
connecting to: mongodb://127.0.0.1:27017
MongoDB server version: 3.4.4
...
> show databases
> exit

Load sample data (restaurants.json)

This is a sample collection of 25K restaurants of NYC from mongo documentation.

1. Download the dataset:

$ curl -O https://raw.githubusercontent.com/mongodb/docs-assets/primer-dataset/primer-dataset.json

2. Import the dataset in 'test' database:

$ mongoimport --db test --collection restaurants --drop --file primer-dataset.json

3. Check if it was imported well:

$ mongo
MongoDB shell version v3.4.4
connecting to: mongodb://127.0.0.1:27017
MongoDB server version: 3.4.4
...
> use test
> db.restaurants.findOne()
{
	"_id" : ObjectId("596286ff0b13d7ec5826380f"),
	"address" : {
		"building" : "1007",
...
> db.restaurants.find().count()
25359
> db.restaurants.find({borough: 'Bronx'}).count()
2338

4. Create index:

> db.restaurants.createIndex( { cuisine: -1, borough: -1, zipcode: -1 } )
> db.restaurants.createIndex( { name: "text" } )
> exit

5. Remove downloaded dataset:

$ rm primer-dataset.json

Setup Python project

Clone this repository and inside the folder:

1. Make a virtualenv:

$ mkvirtualenv mongo-facets

2. Install Python dependencies (Flask and PyMongo):

$ pip install -r requirements.txt

Run the Flask server

$ python server.py

And enjoy playing in the frontend at http://127.0.0.1:5000/ ! :D