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<NumericInput
                                  value={4}
                                  onChange={value =>{ 
                                    let { quantityInput } = this.state;
                                    quantityInput[index] = {
                                      quantity: value,
                                      element_id: item.id
                                    };
                                    
                                    this.setState({

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list of recommended books

bookISBN
bookTitle
bookGenre
bookDescription
bookAvgRating
bookPublisedDate
bookImg

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def similar_recommendation(model, interaction_matrix, user_id, user_dikt, 
                               item_dikt,threshold = 0,number_rec_items = 15):

    #Function to produce user recommendations

    n_users, n_items = interaction_matrix.shape
    user_x = user_dikt[user_id]
    scores = pd.Series(model.predict(user_x,np.arange(n_items)))
    scores.index = interaction_matrix.columns

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details.html


{% extends "example/base.html" %}

{% load static %}

{% block body %}
   
    <div class="container">

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user_id = request.user.id + 278858
                book_id = isbn
                new_rating = rating
                
                x=mycol.find({"user_id":user_id,"activity.book_id":book_id},{"activity.$.activity":1,"_id":0})
                if x.count()==0:
                    y=mycol.find({"user_id":user_id},{"activity.$.activity":1,"_id":0})
                    if(y.count()==0):
                        mycol.insert({"user_id":user_id,"isFifteen":0,"activity":[{"book_id":book_id,"activity":{"rating":new_rating,"net_rating":new_rating,"date_modified":datetime.datetime.now()}}]})
                    else:

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# get isFifteen (True or False)
x=mycol.find({"user_id":123,"isFifteen":1})
 isFifteen=x.count()

    
    if isFifteen == True:
      send 15 books recommendation
      You may have to edit the query a bit as if it is being used for try now.
    else:
        send random books

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x=mycol.aggregate([{"$match":{"average_rating":{"$gt":4}}},{"$sort":{"average_rating":-1}},{"$limit":50},{"$sample":{"size":15}}])
top_rated_books=list(x)
top_rated =mycol.aggregate([{"$match":{"ISBN":{"$in":top_rated_books}}},
                    {"$project":{'_id':0, 'ISBN':'$ISBN', 'genres': '$genres', 'bookTitle': '$Book-Title', 'bookAuthor': '$Book-Author', 'publicationYear': '$Year-Of-Publication', 'publisher': '$Publisher', 'imageURL': '$Image-URL', 'averageRating': '$average_rating', 'description': '$description', 'publicationYear':'$publication_year'} }])
   
print(top_rated)

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[
    {
        '_id': ObjectId('5d0afbe54e32454bf7bdc184'), 
        'genres': "{'young-adult': 1}", 
        'ISBN': '057004460X', 
        'Book-Title': "Women Through the Bible: Devotions for Women's Groups", 
        'Book-Author': 'Marlys, Taege', 'Year-Of-Publication': 1987, 
        'Publisher': 'Concordia Publishing House', 
        'Image-URL': 'http://images.amazon.com/images/P/057004460X.01.LZZZZZZZ.jpg', 
        'average_rating': 5.0, 'book_id': 3622636, 

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# -----------This works!-------------------------------

book_search_variable= searchString
y=mydb['bookDataset'].find({"Book-Title":{"$regex":book_search_variable}}).limit(5)
bookSearched=list(y)
print(bookSearched)

#----------------trying to change Book-Author to bookAuthor-----------------------------
#----------------didn't work---------------------------
#-----------book_search_data = [] always------------------------

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# date is hardcoded. Please fix that

x=mydb['bookDataset'].aggregate([{"$match":{"date_added":{"$gt":datetime.datetime(2019, 6, 21, 8, 25,50)}}},{"$project":{"_id":0,"ISBN":1}}])
data=list(x)
print(data)
for i in data:
    interaction_matrix_pickle[i['ISBN']]=0