def stats(self):
query_directors = select(['persons.id', func.count('roles.person_id').label('count')],
from_obj=['persons', 'roles'],
whereclause="roles.person_id = persons.id AND roles.role_type = 'director'",
group_by=['persons.id'], order_by='count desc', limit=10)
query_actors = select(['persons.id', func.count('roles.person_id').label('count')],
from_obj=['persons', 'roles'],
whereclause="roles.person_id = persons.id AND roles.role_type = 'cast'",
group_by=['persons.id'], order_by='count desc', limit=10)
top_directors = DBSession.query(Person, 'count').from_statement(query_directors).all()
top_actors = DBSession.query(Person, 'count').from_statement(query_actors).all()
ia = IMDb()
top250_ids = [x.movieID for x in ia.get_top250_movies()]
bottom100_ids = [x.movieID for x in ia.get_bottom100_movies()]
top250_count = DBSession.query(Movie).filter(Movie.id.in_(top250_ids)).count()
bottom100_count = DBSession.query(Movie).filter(Movie.id.in_(bottom100_ids)).count()
total_count = DBSession.query(Movie).count()
total_runtime = 1
return {'top250_count': top250_count,
'bottom100_count': bottom100_count,
'total_count': total_count,
'total_runtime' : total_runtime,
'top_directors': top_directors,
'top_actors': top_actors}
class ImdbApi():
def __init__(self):
self.ia = IMDb()
def get_top_movies(self):
return self.ia.get_top250_movies()
def get_bottom_movies(self):
return self.ia.get_bottom100_movies()
def get_movies_id(self, movies):
return [i.getID() for i in movies]
def list_of_filtered_movie_information(self, movies_id):
l = []
for i in movies_id[:10]:
di = {}
film = self.ia.get_movie_main(i)
di['rating'] = [i[1] for i in film['data'].items() if i[0] == 'rating']
di['year'] = [i[1] for i in film['data'].items() if i[0] == 'year']
di['name'] = [i[1] for i in film['data'].items() if i[0] == 'title']
di['director'] = [i[1] for i in film['data'].items() if i[0] == 'director'][0][0]
di['index'] = random.randint(0, 9)
l.append(di)
return l
def get_bottom_movies(args):
connection = IMDb()
items = connection.get_bottom100_movies()
if args.first:
connection.update(items[0])
print(items[0].summary())
else:
list_ranking(items, n=args.n)
def get_bottom_movies(args):
connection = IMDb()
items = connection.get_bottom100_movies()
if args.first:
connection.update(items[0])
print(items[0].summary())
else:
list_ranking(items, n=args.n)
person = db.get_person(actor_id)
bio = db.get_person_biography(actor_id)
name = person['name']
bdate = person['birth date']
height = person['height']
trivia = person['trivia']
titleRefs = bio['titlesRefs']
print(f'name: {name}')
print(f'birth date: {bdate}')
print(f'height: {height}')
print(f'trivia: {trivia[0]}')
titleRefs = ', '.join(map(str, titleRefs))
print(f'bio title refs: {titleRefs}')
print('---------------------------------------')
# 4) Fetch top/bottom 10 movies
top = db.get_top250_movies()
bottom = db.get_bottom100_movies()
print('Top 10 movies are:')
for movie in top[0:9]:
print(movie)
print()
print('Bottom 10 movies are:')
for movie in bottom[0:9]:
print(movie)
for searches in search_return:
if re.search(
movie_title, searches
): # from the api's searched movie list, find the one that matches our title exactly
movie_and_ids.append(searches)
movie_ids = []
movie_names = []
for info in movie_and_ids: # from our matched result, we only need the title and id number
movie_names.append(re.sub("_", "", (re.search(r"_.*_", info)).group()))
movie_ids.append(re.search("\d{7}", info).group())
# getting imdb's own movies lists
top_250 = ia.get_top250_movies()
bottom_100 = ia.get_bottom100_movies()
# adding the titles and ids from imdb's list to our scraped list above
for x in top_250:
if x.movieID not in movie_ids:
movie_ids.append(x.movieID)
movie_names.append(x['title'])
for x in bottom_100:
if x.movieID not in movie_ids:
movie_ids.append(x.movieID)
movie_names.append(x['title'])
#creating a dictionary of our database
data_base = dict(zip(movie_names, movie_ids))
import googleapiclient.errors
from src.common.Database import Database
from src.model.Movie import Movie
from src.model.User import User
import requests
from bs4 import BeautifulSoup
from werkzeug.utils import redirect
import random
from flask_share import Share
movielist = []
moviesDB = IMDb()
search = moviesDB.get_top250_movies()
search1 = moviesDB.get_top250_indian_movies()
search2 = moviesDB.get_popular100_tv()
search3 = moviesDB.get_bottom100_movies()
for m in search1:
movielist.append(m.getID())
for i in movielist:
movieurl = "https://www.imdb.com/title/tt" + i + "/"
r = requests.get(url=movieurl)
soup = BeautifulSoup(r.text, 'html.parser')
try:
title = soup.find('title')
ratingValue = soup.find("span", {"itemprop": "ratingValue"})
image = soup.find("div", {"class": "poster"}).find("img")["src"]
link = soup.find("div", {"class": "slate"}).find("a")["href"]
genre = soup.find("div", {"class": "subtext"}).find("a")
if link != None and image != None and title != None and ratingValue != None:
dm = Movie(title.string, "bollywood", genre.text,
