engine_gist_9.py

rating_extractor.py

from math import e

class RatingExtractor:
    def __init__(self):
        print("rating initialized")

    # Version-4

    #Returns overall rating score
    #Parameters:
        #r: indicates the rating for the destination
        #rc: rating count
        #pf: positive feedback count
        #bf: negative feedback count
    @staticmethod
    def get_rating_weight_with_count_and_reviews(r, rc, pf, bf):
        if r > 10 or r < 0:
            return None
        else:
            positive_diff = (10 - r) / 2
            positive_rating = r + positive_diff

            negative_diff = r / 2
            negative_rating = r - negative_diff

            updated_rating = ((r * rc) + (pf * positive_rating) + (bf * negative_rating)) / (rc + pf + bf)

            return RatingExtractor.get_rating_weight_with_quantity(updated_rating,rc,1000000,100)

    # Version-3

    #Returns value between -q and q. for rating input between 0 and 10.
    #Parameters:
        #rating: indicates the rating for the destination
        #q: indicates the percentage of rating for general score. (default is 10.)
        #c: rating count
        #T: indicates the amount of rating as a threshold where score will be halved.
    @staticmethod
    def get_rating_weight_with_quantity(rating, c, T, q=10):
        if rating > 10 or rating < 0:
            return None
        else:
            m = (2*q) / 10 #10 because rating varies between 0 and 10
            b = -q
            val = (m*rating) + b

            M = e**((-T*0.68)/c)

            return val * M

    # Version-2

    #Returns value between -q and q. for rating input between 0 and 10.
    #Parameters:
        #rating: indicates the rating for the destination
        #q: indicates the percentage of rating for general score. (default is 10.)
    @staticmethod
    def get_rating_weight(rating, q=10):
        if rating > 10 or rating < 0:
            return None
        else:
            m = (2*q) / 10 #10 because rating varies between 0 and 10
            b = -q
            return (m*rating) + b