🎥 GemFlix

A Python-powered movie collection management system designed to organize, analyze, and discover movies effortlessly. With seamless Couchbase integration, GemFlix efficiently manages data for 1000+ movies and personal user collections. Users can rate, review, and create custom collections, while tailored filters and suggestions, powered by Gemini, enhance movie discovery. Additionally, built-in analysis tools provide deeper insights into viewing habits and collection trends.

🚀 Features

1. User Management:

   • Sign up new users with personalized collections.

2. Movie Management:

   • Add and manage movies in your collection.
   • Delete movies or collections.

3. Search Functionality:

   • Search movies by keywords (e.g. father daughter story)
   • Filter movies by custom filters (e.g. title, genre, director, or actor)

4. Recommendation System:

   • Get personalized movie recommendations based on user preferences.

5. Data Analysis:

   • Analyze user moive data such as:
     • basic descriptive statistics.
     • Top directors in the collection.
     • Most popular genres.

6. Visualization:

   • Visualize data trends, including:
     • Summary reports.
     • Top directors with details.
     • Annual or Monthly genre trends.
   • Display an interactive dashboard for easy access to insights.

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📜 Function Details

Below are the key functions in GemFlix and how they work:

sign_up

Creates a user account

Parameters:

• user_id (str): The user ID

Example:

collection.user_id(user_id="julia")

create_collection

Adds a new colection to the user's document

Parameters:

• collection_name (str): The name of the collection.

Example:

collection.create_collection(collection_name="sci-fi")

display_collection

Displays all collections or movies within a specified collection.

Parameters:

• collection_name (str): The name of the collection. (optional)

Example:

collection.display_collection(collection_name="sci-fi")

add_log

Adds a movie to a collection by its title, including details like rating, watched date, and notes.

Parameters:

• collection_name (str): The name of the collection.
• movie_title (str): The title of the movie to add.
• rate (int): The user's rating for the movie.
• watched_date (str): The date the movie was watched (optional).
• notes (str): Additional notes about the movie (optional).

Example:

collection.add_log(collection_name = "sci-fi", 
                   movie_title = "Interstellar",
                   rate = 10, 
                   watched_data = "2024-11-28",
                   notes =  "touching")

keyword_search

Perform a keyword search using Couchbase, and generate an HTML page displaying movie results based on the search text.

Parameters:

• search_text (str): The search query used for fetching the movie results.

Example:

keyword_search("christmas family movies")

filter_results

Filter documents with dynamic conditions passed by the user.

Parameters:

• filters (str): A list of custom filter conditions. Each filter is a dictionary with the following keys:
  • field (str) : The field to filter
  • condition (str) : The condition to apply
  • values (list) : The values to match against the condition.
• limit (int) : The maximum number of movies to return.
• sort_by (tuple) : The sorting criteria, specified as (field, order)

Example:

filters = [
    {"field": "Released_Year", "condition": "BETWEEN", "values": [1960, 1980]},
    {"field": "Genre", "condition": "LIKE", "values": ["Romance"]},
]
sort_by = ("IMDB_Rating", "DESC")
filter_results(filters, 5, sort_by)

recommend

Generates top 'k' movie recommendations based on a collection of movies.

Parameters:

• collection (MovieCollection) : MovieCollection object to retrieve data.
• collection_name (str): The name of the collection base recommendations on (optional).
• k (int): The number of top recommendations to return.

Example:

recommend(collection, 7)

display_dashboard

Combine all visualizations into a single HTML dashboard and display it in the browser.

Parameters:

• user_collection (MovieCollection): The user's collection.
• collection_name (str): The name of the collection.
• period (str) : The period criterion ('month' or 'year').
• year (int) : The specific year to filter the data (optional).

Example:

display_dashboard(collection, None, "Year")

Prerequisites

• Python 3.11 or higher
• Couchbase Server
• Couchbase Python SDK
• poetry

Contact

For questions or feedback, please contact:

Jane

Email: janexshen@gmail.com

Jenny

Email: je.chung301@gmail.com