EcoShop - React Native

Introduction

EcoShop is an ecommerce app made with react native using serverless function and realm database.

:sparkles: Main Features

• Authentication.
• Add items to your whishlist
• Search Products
• Infinite list (Pagination)
• Sort with category

Android

You can download the latest APK here.

IOS

Please clone the repo 🙃🙃🙃

:camera_flash: Screenshots

Development

# Dependencies
yarn install
or
npm install

## MongoDB Realm
Setup Realm Account
Import the ecoshop.csv file in mongo db atlas
Setup Schema and Permissions
Write the serverless functions and fetch the products

# Run IOS
yarn ios

# Run ANDROID
yarn android

Serverless functions used

addFavourite

exports = function (id, val, isFav) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('UserDB');
  if (isFav)
    return collection.updateOne(
      {_id: BSON.ObjectId(id)},
      {$pull: {favourite: val}},
    );
  else
    return collection.updateOne(
      {_id: BSON.ObjectId(id)},
      {$push: {favourite: val}},
    );
};

getAllProducts

exports = function (arg = 1) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('Flipkart');
  const data = collection
    .find({})
    .skip(arg * 20)
    .limit(20)
    .toArray();
  return {data: data, pgNo: arg + 1};
};

getCategory

exports = function (arg) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('Flipkart');
  return collection.distinct('product_category_tree');
};

getOneProduct

exports = function (arg) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('Flipkart');
  return collection.findOne({_id: BSON.ObjectId(arg)});
};

getProductsWithCategory

exports = function (arg, pgNo) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('Flipkart');
  const data = collection
    .find({product_category_tree: {$regex: arg, $options: 'i'}})
    .skip(pgNo * 20)
    .limit(20)
    .toArray();
  return {data: data, pgNo: pgNo + 1};
};

getProductsWithQuery

exports = function (arg, pgNo) {
  var collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('Flipkart');
  const data = collection
    .find({product_name: {$regex: arg, $options: 'i'}})
    .skip(pgNo * 20)
    .limit(20)
    .toArray();
  return {data: data, pgNo: pgNo + 1};
};

signInUser

exports = function (arg1, arg2) {
  const collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('UserDB');
  const data = collection.findOne({email: arg1, password: arg2});
  return data;
};

SignUpUser

exports = async function (item) {
  const collection = context.services
    .get('mongodb-atlas')
    .db('EcoShop')
    .collection('UserDB');
  return collection
    .find({$or: [{username: item.username}, {email: item.email}]})
    .toArray()
    .then(result => {
      if (result.length == 0)
        return collection.insertOne({
          username: item.username,
          password: item.password,
          email: item.email,
          favourite: [],
        });
      else return null;
    });
};