Python - Basic Movie Database: Add, Edit, Delete, and View Movies
Basic Movie Database: Create a simple movie database with features like adding, editing, and deleting movies.
Input values:
Add a Movie:
Movie title
Director
Year of release
Genre.
Edit a Movie:
Movie ID or title (to identify the movie to be edited)
New title, director, year of release, and/or genre (fields to be updated)
Delete a Movie:
Movie ID or title (to identify the movie to be deleted)
View Movies:
Option to view all movies or search by title, director, year, or genre
Output Values:
Confirmation message after adding, editing, or deleting a movie.
List of movies when viewing or searching.
Error messages if any operations fail (e.g., movie not found, invalid input).
Examples:
Example 1: Adding a Movie Input: Title: "Inception" Director: "Christopher Nolan" Year of Release: 2010 Genre: "Science Fiction" Output: "Movie 'Inception' added successfully." Example 2: Editing a Movie Input: Movie ID: 1 New Title: "Inception: The Dream" New Director: (leave blank to keep the same) New Year of Release: (leave blank to keep the same) New Genre: (leave blank to keep the same) Output: "Movie with ID 1 updated successfully." Example 3: Deleting a Movie Input: Movie ID: 1 Output: "Movie with ID 1 deleted successfully." Example 4: Viewing Movies Input: Option: View all movies Output: List of all movies in the database: 1. Inception, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 2. The Matrix, directed by Lana Wachowski and Lilly Wachowski, released in 1999, Genre: Science Fiction Example 5: Searching for a Movie Input: Search by Title: "Inception" Output: List of movies matching the search: 1. Inception, directed by Christopher Nolan, released in 2010, Genre: Science Fiction
Solution 1: Using a Python List of Dictionaries for the Movie Database
This solution uses a simple Python list of dictionaries to represent the movie database. Each dictionary contains information about a movie, such as its title, director, year of release, and genre.
Code:
# Solution 1: Using a list of dictionaries to manage the movie database
# Initialize an empty list to store movies
movies = []
# Function to add a movie
def add_movie(title, director, year, genre):
# Each movie is represented as a dictionary
movie = {
"id": len(movies) + 1, # Unique ID for the movie
"title": title,
"director": director,
"year": year,
"genre": genre
}
movies.append(movie) # Add the movie to the list
print(f"Movie '{title}' added successfully.")
# Function to edit a movie
def edit_movie(movie_id, new_title=None, new_director=None, new_year=None, new_genre=None):
# Find the movie by its ID
for movie in movies:
if movie["id"] == movie_id:
# Update fields only if new values are provided
if new_title:
movie["title"] = new_title
if new_director:
movie["director"] = new_director
if new_year:
movie["year"] = new_year
if new_genre:
movie["genre"] = new_genre
print(f"Movie with ID {movie_id} updated successfully.")
return
print(f"Movie with ID {movie_id} not found.")
# Function to delete a movie
def delete_movie(movie_id):
global movies
# Create a new list without the movie to be deleted
movies = [movie for movie in movies if movie["id"] != movie_id]
print(f"Movie with ID {movie_id} deleted successfully.")
# Function to view all movies
def view_movies():
if movies:
for movie in movies:
print(f"{movie['id']}. {movie['title']}, directed by {movie['director']}, "
f"released in {movie['year']}, Genre: {movie['genre']}")
else:
print("No movies in the database.")
# Function to search for movies by title
def search_movie_by_title(title):
found_movies = [movie for movie in movies if title.lower() in movie["title"].lower()]
if found_movies:
for movie in found_movies:
print(f"{movie['id']}. {movie['title']}, directed by {movie['director']}, "
f"released in {movie['year']}, Genre: {movie['genre']}")
else:
print(f"No movies found with title '{title}'.")
# Example usage:
add_movie("Inception", "Christopher Nolan", 2010, "Science Fiction")
add_movie("The Matrix", "Wachowski Sisters", 1999, "Science Fiction")
view_movies()
edit_movie(1, new_title="Inception: The Dream")
delete_movie(2)
view_movies()
search_movie_by_title("Inception")
Output:
Movie 'Inception' added successfully. Movie 'The Matrix' added successfully. 1. Inception, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 2. The Matrix, directed by Wachowski Sisters, released in 1999, Genre: Science Fiction Movie with ID 1 updated successfully. Movie with ID 2 deleted successfully. 1. Inception: The Dream, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 1. Inception: The Dream, directed by Christopher Nolan, released in 2010, Genre: Science Fiction
Explanation:
- Movies are stored in a list as dictionaries with fields like title, director, year, and genre.
- Functions allow adding, editing, deleting, viewing, and searching movies.
- Easy-to-understand structure but data is not persistent (only stored in memory).
Solution 2: Using SQLite Database for Persistent Storage
This solution uses SQLite, a lightweight relational database, to store movie data. This approach allows the data to be persistent across program executions.
Code:
# Solution 2: Using SQLite for persistent movie database storage
import sqlite3
# Connect to (or create) a database
conn = sqlite3.connect("movies.db")
cursor = conn.cursor()
# Create a table for movies
cursor.execute('''
CREATE TABLE IF NOT EXISTS movies (
id INTEGER PRIMARY KEY,
title TEXT,
director TEXT,
year INTEGER,
genre TEXT
)
''')
# Function to add a movie
def add_movie(title, director, year, genre):
cursor.execute("INSERT INTO movies (title, director, year, genre) VALUES (?, ?, ?, ?)",
(title, director, year, genre))
conn.commit()
print(f"Movie '{title}' added successfully.")
# Function to edit a movie
def edit_movie(movie_id, new_title=None, new_director=None, new_year=None, new_genre=None):
movie = cursor.execute("SELECT * FROM movies WHERE id=?", (movie_id,)).fetchone()
if movie:
cursor.execute('''
UPDATE movies SET title=?, director=?, year=?, genre=?
WHERE id=?
''', (new_title or movie[1], new_director or movie[2], new_year or movie[3], new_genre or movie[4], movie_id))
conn.commit()
print(f"Movie with ID {movie_id} updated successfully.")
else:
print(f"Movie with ID {movie_id} not found.")
# Function to delete a movie
def delete_movie(movie_id):
cursor.execute("DELETE FROM movies WHERE id=?", (movie_id,))
conn.commit()
print(f"Movie with ID {movie_id} deleted successfully.")
# Function to view all movies
def view_movies():
cursor.execute("SELECT * FROM movies")
movies = cursor.fetchall()
if movies:
for movie in movies:
print(f"{movie[0]}. {movie[1]}, directed by {movie[2]}, released in {movie[3]}, Genre: {movie[4]}")
else:
print("No movies in the database.")
# Function to search for movies by title
def search_movie_by_title(title):
cursor.execute("SELECT * FROM movies WHERE title LIKE ?", ('%' + title + '%',))
movies = cursor.fetchall()
if movies:
for movie in movies:
print(f"{movie[0]}. {movie[1]}, directed by {movie[2]}, released in {movie[3]}, Genre: {movie[4]}")
else:
print(f"No movies found with title '{title}'.")
# Example usage:
add_movie("Inception", "Christopher Nolan", 2010, "Science Fiction")
add_movie("The Matrix", "Wachowski Sisters", 1999, "Science Fiction")
view_movies()
edit_movie(1, new_title="Inception: The Dream")
delete_movie(2)
view_movies()
search_movie_by_title("Inception")
# Close the connection when done
conn.close()
Output:
Movie 'Inception' added successfully. Movie 'The Matrix' added successfully. 1. Inception: The Dream, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 2. Inception, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 3. The Matrix, directed by Wachowski Sisters, released in 1999, Genre: Science Fiction Movie with ID 1 updated successfully. Movie with ID 2 deleted successfully. 1. Inception: The Dream, directed by Christopher Nolan, released in 2010, Genre: Science Fiction 3. The Matrix, directed by Wachowski Sisters, released in 1999, Genre: Science Fiction 1. Inception: The Dream, directed by Christopher Nolan, released in 2010, Genre: Science Fiction.
Explanation:
- A SQLite database is used to store movies persistently.
- The database has a table called movies with columns like title, director, year, and genre.
- SQL queries handle adding, editing, deleting, and searching movies.
- Data is stored on disk and can be retrieved even after restarting the program.
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