cinemagoer library problem

[lunacy90]

I am trying to make an application that in part prints out the last 10 films released based on actor which means i want to exclude announced films if they haven/t been released yet

def get_data_actor_name(id):
    global movie_name,cg
    search = cg.get_person(id)
    filmography=cg.get_person_filmography(id)
    last_ten_films=filmography['data']['filmography']['actor']


    for movie in last_ten_films:
        if bool(movie['year']):
            movie_name.append(movie['title'], movie['year'])

    messagebox.showinfo(title=f"{search}'s latest film information", message=f"{movie_name}")
    movie_name.clear()

the code above returns a KeyError (year) as you can see below

Error:
Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Users\giorg\AppData\Local\Programs\Python\Python39\lib\tkinter\__init__.py", line 1892, in __call__
    return self.func(*args)
  File "C:\Users\giorg\PycharmProjects\pythonProject2\IMDB\main.py", line 65, in search_for_info
    check_answer(search)
  File "C:\Users\giorg\PycharmProjects\pythonProject2\IMDB\main.py", line 38, in check_answer
    get_data_actor_name(id)
  File "C:\Users\giorg\PycharmProjects\pythonProject2\IMDB\main.py", line 21, in get_data_actor_name
    if bool(movie['year']):
  File "C:\Users\giorg\AppData\Local\Programs\Python\Python39\lib\site-packages\imdb\utils.py", line 1503, in __getitem__
    rawData = self.data[key]
KeyError: 'year'

[menator01]

Where is the data coming from? Is it coming from a database? I don't really understand why using the global.
Need a little more information please.

[deanhystad]

The data comes from Cinemagoer, an IMDB scraper package. Lunacy probably should have posted this question in the original thread instead of starting a new one and losing all the context.

https://python-forum.io/thread-40667.html

'year' must not be a key in movie. You should print out all the keys in movie to find out what they are.

There is no need for the global declaration. You only need to declare a variable name as global if you assign a value to the name. In get_data_actor_name() there are no assignments made to cg, and movie_name is obviously a local variable because it is cleared at the end of the function.

Posted code should be runable. This means including imports and any setup code.

[lunacy90]

The data comes from Cinemagoer, an IMDB scraper package. Lunacy probably should have posted this question in the original thread instead of starting a new one and losing all the context.

https://python-forum.io/thread-40667.html

'year' must not be a key in movie. You should print out all the keys in movie to find out what they are.

There is no need for the global declaration. You only need to declare a variable name as global if you assign a value to the name. In get_data_actor_name() there are no assignments made to cg, and movie_name is obviously a local variable because it is cleared at the end of the function.

Posted code should be runable. This means including imports and any setup code.

and how can i print all of the keys in "movie"? cause when i tried printing i can only see the name of the feature and no other information

[deanhystad]

Maybe that is all there is. Or maybe there is the name of the move and an ID, and you need to look up the move to get the movie information. I always felt it was called web scraping because that is what you have to do. Scrape away layer after layer of information to finally find what you are looking for.

[menator01]

One way to do it

from imdb import Cinemagoer
from pandas import DataFrame as df
from tabulate import tabulate

class Model:
    def __init__(self):
        self.ia = Cinemagoer()

    def search_person(self, name):
        data = []
        people = self.ia.search_person(name.strip())
        person = people[0]
        id = person.personID
        films = self.ia.get_person_biography(id)
        for film in films['titlesRefs'].values():
            try:
                year = film['year']
            except KeyError:
                year = 'No date available'

            data.append((film['title'], year, film.movieID))
        return data
    
    def search_movie(self, title):
        data = []
        movies = self.ia.search_movie(title.strip())
        for movie in movies:
            data.append((movie['title'], movie['year'], movie.movieID))
        return data
  


m = Model()
data = m.search_person('angelina jolie')
data.sort(key=lambda a: a[1])

headers = ['Movie', 'Year', 'Movie ID']

print('All Movies')
print(tabulate(df(data), showindex=False, headers=headers))

print()


# Search < date
alist = []
for movie, year, id in data:
       if isinstance(year, int) and year <= 1998:
            alist.append((movie, year, id))

print('Movies less than or equal to 1998')
print(tabulate(df(alist), showindex=False, headers=headers))

print()
data.reverse()
print('Last five movies')
print(tabulate(df(data[:5]), showindex=False, headers=headers))

output

Output:
All Movies
Movie                              Year    Movie ID
-------------------------------  ------  ----------
One Flew Over the Cuckoo's Nest    1975     0073486
Hackers                            1995     0113243
Foxfire                            1996     0116353
True Women                         1997     0118499
George Wallace                     1997     0119189
Gia                                1998     0123865
Girl, Interrupted                  1999     0172493
The Bone Collector                 1999     0145681
Pushing Tin                        1999     0120797
The Matrix                         1999     0133093
Lara Croft: Tomb Raider            2001     0146316
Beyond Borders                     2003     0294357
Mr. & Mrs. Smith                   2005     0356910
Wanted                             2008     0493464
Salt                               2010     0944835
Maleficent                         2014     1587310
Unbroken                           2014     1809398
By the Sea                         2015     3707106
Eternals                           2021     9032400

Movies less than or equal to 1998
Movie                              Year    Movie ID
-------------------------------  ------  ----------
One Flew Over the Cuckoo's Nest    1975     0073486
Hackers                            1995     0113243
Foxfire                            1996     0116353
True Women                         1997     0118499
George Wallace                     1997     0119189
Gia                                1998     0123865

Last five movies
Movie         Year    Movie ID
----------  ------  ----------
Eternals      2021     9032400
By the Sea    2015     3707106
Unbroken      2014     1809398
Maleficent    2014     1587310
Salt          2010     0944835

[deanhystad]

This does not agree with IMDB. Tough being cast in a move filmed before you are born. Missing the Kung Fu Pandas movies, one of the Lara Croft movies. Maybe get_person_biography is not the way to get this info?

[menator01]

Could use filmography but, returns a lot of stuff that I don't know if it even involves jolie
I think it's the database. I used harrison ford and got movies that he was not in. The years were 1962 and 1967.
Samething with Jason Statham. The database has input year errors.

Here is the ouput for Statham

Output:
Jason Statham 0005458
+---------------------------------------+------+---------+
| Title                                 | Year | ID      |
+---------------------------------------+------+---------+
| The Italian Job                       | 1969 | 0064505 |
| Lock, Stock and Two Smoking Barrels   | 1998 | 0120735 |
| The Bank Job                          | 2008 | 0200465 |
| Snatch                                | 2000 | 0208092 |
| Turn It Up                            | 2000 | 0216772 |
| Ghosts of Mars                        | 2001 | 0228333 |
| The One                               | 2001 | 0267804 |
| Mean Machine                          | 2001 | 0291341 |
| The Transporter                       | 2002 | 0293662 |
| The Italian Job                       | 2003 | 0317740 |
| Death Race                            | 2008 | 0452608 |
| Crank                                 | 2006 | 0479884 |
| War                                   | 2007 | 0499556 |
| Crank: High Voltage                   | 2009 | 1121931 |
| The Expendables                       | 2010 | 1320253 |
| Fast & Furious 6                      | 2013 | 1905041 |
| Homefront                             | 2013 | 2312718 |
| Furious 7                             | 2015 | 2820852 |
| Spy                                   | 2015 | 3079380 |
| The Fate of the Furious               | 2017 | 4630562 |
| Fast & Furious Presents: Hobbs & Shaw | 2019 | 6806448 |
+---------------------------------------+------+---------+

[lunacy90]

Could use filmography but, returns a lot of stuff that I don't know if it even involves jolie
I think it's the database. I used harrison ford and got movies that he was not in. The years were 1962 and 1967.
Samething with Jason Statham. The database has input year errors.

Here is the ouput for Statham

Output:
Jason Statham 0005458
+---------------------------------------+------+---------+
| Title                                 | Year | ID      |
+---------------------------------------+------+---------+
| The Italian Job                       | 1969 | 0064505 |
| Lock, Stock and Two Smoking Barrels   | 1998 | 0120735 |
| The Bank Job                          | 2008 | 0200465 |
| Snatch                                | 2000 | 0208092 |
| Turn It Up                            | 2000 | 0216772 |
| Ghosts of Mars                        | 2001 | 0228333 |
| The One                               | 2001 | 0267804 |
| Mean Machine                          | 2001 | 0291341 |
| The Transporter                       | 2002 | 0293662 |
| The Italian Job                       | 2003 | 0317740 |
| Death Race                            | 2008 | 0452608 |
| Crank                                 | 2006 | 0479884 |
| War                                   | 2007 | 0499556 |
| Crank: High Voltage                   | 2009 | 1121931 |
| The Expendables                       | 2010 | 1320253 |
| Fast & Furious 6                      | 2013 | 1905041 |
| Homefront                             | 2013 | 2312718 |
| Furious 7                             | 2015 | 2820852 |
| Spy                                   | 2015 | 3079380 |
| The Fate of the Furious               | 2017 | 4630562 |
| Fast & Furious Presents: Hobbs & Shaw | 2019 | 6806448 |
+---------------------------------------+------+---------+

thanks a lot for your help guys. Ill add your usernames in my github page as collaborators

[lunacy90]

Could use filmography but, returns a lot of stuff that I don't know if it even involves jolie
I think it's the database. I used harrison ford and got movies that he was not in. The years were 1962 and 1967.
Samething with Jason Statham. The database has input year errors.

Here is the ouput for Statham

Output:
Jason Statham 0005458
+---------------------------------------+------+---------+
| Title                                 | Year | ID      |
+---------------------------------------+------+---------+
| The Italian Job                       | 1969 | 0064505 |
| Lock, Stock and Two Smoking Barrels   | 1998 | 0120735 |
| The Bank Job                          | 2008 | 0200465 |
| Snatch                                | 2000 | 0208092 |
| Turn It Up                            | 2000 | 0216772 |
| Ghosts of Mars                        | 2001 | 0228333 |
| The One                               | 2001 | 0267804 |
| Mean Machine                          | 2001 | 0291341 |
| The Transporter                       | 2002 | 0293662 |
| The Italian Job                       | 2003 | 0317740 |
| Death Race                            | 2008 | 0452608 |
| Crank                                 | 2006 | 0479884 |
| War                                   | 2007 | 0499556 |
| Crank: High Voltage                   | 2009 | 1121931 |
| The Expendables                       | 2010 | 1320253 |
| Fast & Furious 6                      | 2013 | 1905041 |
| Homefront                             | 2013 | 2312718 |
| Furious 7                             | 2015 | 2820852 |
| Spy                                   | 2015 | 3079380 |
| The Fate of the Furious               | 2017 | 4630562 |
| Fast & Furious Presents: Hobbs & Shaw | 2019 | 6806448 |
+---------------------------------------+------+---------+

one more question, hopefully it will be the last. I try to search via company name with the search_company function. I then pass the definitive name to the get_company function which requests an ID for the parameter. How can i get the ID of the company straight from the search_company function? I tried printing it but i only get the name of the company printed. ive tried a generic movie_id or movieId or id option but i get a KeyError

my code follows

this is the function that gets all the results based by the name to find the correct company name which the user is looking for.

        for i in range(len(search)):
            if messagebox.askokcancel(title=f"Company Name",message=f"Is {search[i]}  the company you are looking for?"):
                id=search[i]
                print(id)
                get_data_company(id)

the above function loads another function that will follow below

def get_data_company(id):
    print(id)
company=cg.get_company(str(id))
    print(company["name"])

the elements i have yet to add to this function are the name retrievals from the films and i want to create a new list of the 10 most recent films made by the company that the user is looking for


EDIT: i set up the search by actor name function. It works ok but there is a small problem. I splice the actors filmography to get the first 10 films sorted by release year but it doesnt actually contain the newest ones. For example i searched for Keanu Reeves and his newest film in the list was Matrix Revolutions not John Wick Chapter 4 as it is in real life. My code follows below

def get_data_actor_name(id):
    data=[]
    global cg
    search = cg.search_person(id)
    person=search[0]
    filmography=cg.get_person_biography(id)
    for film in filmography["titlesRefs"].values():
        try:
            year=film["year"]
        except KeyError:
            year="No date available"
        data.append((film["title"],year))
    data.sort(key=lambda a: a[1])
    data.reverse()
    headers=["Movie","Year"]
    filmography=data[:10]
    messagebox.showinfo(title=f"{search}'s latest film information", message=f"{headers}\n"
                                                                            f"{filmography[0]}\n"
                                                                             f"{filmography[1]}\n"
                                                                             f"{filmography[2]}\n"
                                                                             f"{filmography[3]}\n"
                                                                             f"{filmography[4]}\n"
                                                                             f"{filmography[5]}\n"
                                                                             f"{filmography[6]}\n"
                                                                             f"{filmography[7]}\n"
                                                                             f"{filmography[8]}\n"
                                                                             f"{filmography[9]}\n"
                                                                             f"")