In [5]:
from Movie import *

def read_data_movies(dname):
    # Let us process data in movies.dat
    with open(dname+"/movies.dat") as f:
        lines = f.read().splitlines()
    movies = {}
    for line in lines:
        mid, title, country, year = line.split(":")
        m = Movie(mid, title, country, year)
        movies[mid] = m
    return movies
In [6]:
movies = read_data_movies("small-data")
for mid in movies:
    print(movies[mid])

[m1,Star Wars,USA,1978]
[m2,Gandhi,UK,1982]
[m3,Ran,Japan,1972]
In [7]:
from Theater import *

def read_data_theaters(dname):
    # Let us process data in theaters.dat
    with open(dname+"/theaters.dat") as f:
        lines = f.read().splitlines()
    theaters = {}
    for line in lines:
        tid, tname, city = line.split(":")
        t = Theater(tid, tname, city)
        theaters[tid] = t
    return theaters
In [8]:
theaters = read_data_theaters("small-data")
for tid in theaters:
    print(theaters[tid])

[t1,Odeon,Atlanta]
[t2,Multiplex I,Doraville]
In [9]:
from Screen import *

def read_data_screens(dname,theaters):
    # Let us process data in screens.dat
    with open(dname+"/screens.dat") as f:
        lines = f.read().splitlines()
    for line in lines:
        tid, sid, sname = line.split(":")
        t = theaters[tid]
        scr = Screen(sid,sname,t)
        scr.theater = t
        t.screens.append(scr)
In [13]:
read_data_screens("small-data",theaters)
for t in theaters:
    print(str(theaters[t]))

[t1,Odeon,Atlanta]
[t2,Multiplex I,Doraville]