idea.txt

hide price, and take out profanity, no referencing competitors

-> amazon, walmart,staples, thesource, ncix, 

chat bot

i'm going to ask which product the user wants to know user reviews on

then im going to use bestbuy api to give me the product id

then i'll use that product id to query the the user review msgs

then i'll compare these msgs with my luis models 






right now

a user types something, and depending on what they say, it links to a function that does something

i want to compare the msgs in the reviews, and save which ever keywords generate more matches.


i need to send in the reviews as my own msgs and compare them to luis.


dialog.matches('analyze-keywords', (session, result) => {
	if(result.entities && result.entities[0]) {
		var product = result.entities[0].entity;
		superagent
            .get('https://msi.bbycastatic.ca/mobile-si/si/v3/products/search')
            .query({query: product})
            .end((err, res) => {
                var products = res.body.searchApi.documents.slice(0, 3);
                var msg = new builder.Message(session).text("Here are a few things you might like...");
                products.map(p => msg.addAttachment(createHeroCard(session, p)));
                session.send(msg);
            });
		var haveProduct = use bestbuy api to grab productId
		if(haveProduct){
			var reviews = use bestbuy api to grab product reviews
			var i;
			for(i = 0; i < reviews.length; i++){
				iterate through all the reviews and send each review to text analysis API and return top keywords
				var keywordsOfReview = reviews[0]...

			}	
		} else {
			session.send('This product does not exist in our database!');
		}
	} else {
		session.send('Please specify a product');
	}

});



// pre


dialog.matches('analyze-keywords', (session, result) => {
	if(result.entities && result.entities[0]) {
		var product = result.entities[0].entity;
		superagent
            .get('https://msi.bbycastatic.ca/mobile-si/si/v3/products/search')
            .query({query: product})
            .end((err, res) => {
                var products = res.body.searchApi.documents.slice(0, 3);
                var msg = new builder.Message(session).text("Here are a few things you might like...");
                products.map(p => msg.addAttachment(createHeroCard(session, p)));
                session.send(msg);
                session.userData.product = products[0];
            });
            var sku;


			var reviews = use bestbuy api to grab product reviews
			superagent
            .get('https://msi.bbycastatic.ca/mobile-si/si/v4/pdp/overview/{productID}')
            .query({query: product})
            .end((err, res) => {
                var products = res.body.searchApi.documents.slice(0, 3);
                var msg = new builder.Message(session).text("Here are a few things you might like...");
                products.map(p => msg.addAttachment(createHeroCard(session, p)));
                session.send(msg);
            });

			var i;
			for(i = 0; i < reviews.length; i++){
				iterate through all the reviews and send each review to text analysis API and return top keywords
				var keywordsOfReview = reviews[0]...

	} else {
		session.send('Please specify a product');
	}
	}
});