OMDB _and_TasteDive_Mashup.py

import requests_with_caching
import json
def get_movies_from_tastedive(movie):
    baseurl = "https://tastedive.com/api/similar"
    params_diction = {}
    params_diction['q'] = movie
    params_diction['type'] = 'movies'
    params_diction['limit'] = 5
    resp = requests_with_caching.get(baseurl, params=params_diction)
    #word_d=json.loads(resp.text)
    #w=word_d['Similar']
    #print(w.keys())
    #print(resp.url)
    return json.loads(resp.text)

def extract_movie_titles(dic):
    
    return ([i['Name'] for i in dic['Similar']['Results']])

#############################
def get_related_titles(movie_list):
    li = []
    for movie in movie_list:
        li.extend(extract_movie_titles(get_movies_from_tastedive(movie)))
        print(li)
    return list(set(li))

def get_movie_data(title):
    endpoint = 'http://www.omdbapi.com/'
    param = {}
    param['t'] = title
    param['r'] = 'json'
    this_page_cache = requests_with_caching.get(endpoint, params=param)
    print(this_page_cache.url)
    return json.loads(this_page_cache.text)

#print(get_movie_data("Black Panther")['Ratings'][1])
def get_movie_rating(dic):
    ranking = dic['Ratings']
    for dic_item in ranking:
        if dic_item['Source'] == 'Rotten Tomatoes':
            return int(dic_item['Value'][:-1])
    return 0
###################
def get_sorted_recommendations(list):
    new_list = get_related_titles(list)
    new_dict = {}
    for i in new_list:
        rating = get_movie_rating(get_movie_data(i))
        new_dict[i] = rating
    print(new_dict)
    print(sorted(new_dict, reverse=True))
    return [i[0] for i in sorted(new_dict.items(), key=lambda item: (item[1], item[0]), reverse=True)]