Automatically creates genre collections for your Plex media

Overview

Plex Auto Genres

Plex Auto Genres is a simple script that will add genre collection tags to your media making it much easier to search for genre specific content

  1. Requirements
  2. Optimal Setup
  3. Getting Started
  4. Automating
  5. Docker Usage
  6. Troubleshooting
Movies example (with cover art set using --set-posters flag.)

Movie Collections

Anime example

Anime Collections

Requirements

  1. Python 3 - Instructions > Windows / Mac / Linux (Not required if using Docker)
  2. TMDB Api Key (Only required for non-anime libraries)

Optimal Setup

  1. Anime / Anime Movies are in their own library on your plex server. (Anime and Anime Movies can share the same library)
  2. Standard TV Shows are in their own library on your plex server.
  3. Standard Movies are in their own library on your plex server.
  4. Proper titles for your media, this makes it easier to find the media. (see https://support.plex.tv/articles/naming-and-organizing-your-tv-show-files/)

For this to work well your plex library should be sorted. Meaning standard and non-standard media should not be in the same Plex library. Anime is an example of non-standard media.

If your anime shows and standard tv shows are in the same library, you can still use this script just choose (standard) as the type. However, doing this could cause incorrect genres added to some or all of your anime media entries.

Here is an example of my plex library setup

Plex Library Example

Getting Started

  1. Read the Optimal Setup section above
  2. Run python3 -m pip install -r requirements.txt to install the required dependencies.
  3. Rename the .env.example file to .env
  4. Rename the config/config.json.example file to config/config.json. The default settings are probably fine.
  5. Edit the .env file and set your plex username, password, and server name. If you are generating collections for standard media (non anime) you will need to also obtain an TMDB Api Key (for movies and tv shows)
    Variable Authentication method Value
    PLEX_USERNAME Username and password Your Plex Username
    PLEX_PASSWORD Username and password Your Plex Password
    PLEX_SERVER_NAME Username and password Your Plex Server Name
    PLEX_BASE_URL Token Your Plex Server base URL
    PLEX_TOKEN Token Your Plex Token
    PLEX_COLLECTION_PREFIX (Optional) Prefix for the created Plex collections. For example, with a value of "*", a collection named "Adventure", the name would instead be "*Adventure".

    Default value : ""
    TMDB_API_KEY Your TMDB api key (not required for anime library tagging)
  6. Optional, If you want to update the poster art of your collections. See posters/README.md

You are now ready to run the script

usage: plex-auto-genres.py [-h] [--library LIBRARY] [--type {anime,standard-movie,standard-tv}] [--set-posters] [--sort] [--rate-anime]
                           [--create-rating-collections] [--query QUERY [QUERY ...]] [--dry] [--no-progress] [-f] [-y]

Adds genre tags (collections) to your Plex media.

optional arguments:
  -h, --help            show this help message and exit
  --library LIBRARY     The exact name of the Plex library to generate genre collections for.
  --type {anime,standard-movie,standard-tv}
                        The type of media contained in the library
  --set-posters         uploads posters located in posters/<type> of matching collections. Supports (.PNG)
  --sort                sort collections by adding the sort prefix character to the collection sort title
  --rate-anime          update media ratings with MyAnimeList ratings
  --create-rating-collections
                        sorts media into collections based off rating
  --query QUERY [QUERY ...]
                        Looks up genre and match info for the given media title.
  --dry                 Do not modify plex collections (debugging feature)
  --no-progress         Do not display the live updating progress bar
  -f, --force           Force proccess on all media (independently of proggress recorded in logs/).
  -y, --yes

examples: 
python plex-auto-genres.py --library "Anime Movies" --type anime
python plex-auto-genres.py --library "Anime Shows" --type anime
python plex-auto-genres.py --library Movies --type standard-movie
python plex-auto-genres.py --library "TV Shows" --type standard-tv

python plex-auto-genres.py --library Movies --type standard-movie --set-posters
python plex-auto-genres.py --library Movies --type standard-movie --sort
python plex-auto-genres.py --library Movies --type standard-movie --create-rating-collections

python plex-auto-genres.py --type anime --query chihayafuru
python plex-auto-genres.py --type standard-movie --query Thor Ragnarok

Example Usage

Automating

I have conveniently included a script to help with automating the process of running plex-auto-genres when combined with any number of cron scheduling tools such as crontab, windows task scheduler, etc.

If you have experience with Docker I reccommend using my docker image which will run on a schedule.

  1. Copy .env.example to .env and update the values
  2. Copy config.json.example to config.json and update the values
  3. Each entry in the run list will be executed when you run this script
  4. Have some cron/scheduling process execute python3 automate.py, I suggest running it manually first to test that its working.

Note: The first run of this script may take a long time (minutes to hours) depending on your library sizes.

Note: Don't be alarmed if you do not see any text output. The terminal output you normally see when running plex-auto-genres.py is redirected to the log file after each executed run in your config.

Docker Usage

  1. Install Docker
  2. Install Docker Compose
  3. Clone or Download this repository
  4. Edit docker/docker-compose.yml
    1. Update the volumes: paths to point to the config,logs,posters directories in this repo.
    2. Update the environment: variables. See Getting Started.
  5. Copy config/config.json.example to config/config.json
    1. Edit the run array examples to match your needs. When the script runs, each library entry in this array will be updated on your Plex server.
  6. Run docker-compose up -d, the script will run immediately then proceed to run on a schedule every night at 1am UTC. Logs will be located at logs/plex-auto-genres-automate.log

Another Docker option of this tool can be found here.

Troubleshooting

  1. If you are not seeing any new collections close your plex client and re-open it.
  2. Delete the generated plex-*-successful.txt and plex-*-failures.txt files if you want the script to generate collections from the beginning. You may want to do this if you delete your collections and need them re-created.
  3. Having the release year in the title of a tv show or movie can cause the lookup to fail in some instances. For example Battlestar Galactica (2003) will fail, but Battlestar Galactica will not.
Owner
Shane Israel
Shane Israel
A Python library created to assist programmers with complex mathematical functions

libmaths libmaths was created not only as a learning experience for me, but as a way to make mathematical models in seconds for Python users using mat

Simple 73 Oct 02, 2022
Official Implementation of LARGE: Latent-Based Regression through GAN Semantics

LARGE: Latent-Based Regression through GAN Semantics [Project Website] [Google Colab] [Paper] LARGE: Latent-Based Regression through GAN Semantics Yot

83 Dec 06, 2022
Get started learning C# with C# notebooks powered by .NET Interactive and VS Code.

.NET Interactive Notebooks for C# Welcome to the home of .NET interactive notebooks for C#! How to Install Download the .NET Coding Pack for VS Code f

.NET Platform 425 Dec 25, 2022
EZ graph is an easy to use AI solution that allows you to make and train your neural networks without a single line of code.

EZ-Graph EZ Graph is a GUI that allows users to make and train neural networks without writing a single line of code. Requirements python 3 pandas num

1 Jul 03, 2022
Repo for parser tensorflow(.pb) and tflite(.tflite)

tfmodel_parser .pb file is the format of tensorflow model .tflite file is the format of tflite model, which usually used in mobile devices before star

1 Dec 23, 2021
Code for the paper "Can Active Learning Preemptively Mitigate Fairness Issues?" presented at RAI 2021.

Can Active Learning Preemptively Mitigate Fairness Issues? Code for the paper "Can Active Learning Preemptively Mitigate Fairness Issues?" presented a

ElementAI 7 Aug 12, 2022
[CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning

Crafting Better Contrastive Views for Siamese Representation Learning (CVPR 2022 Oral) 2022-03-29: The paper was selected as a CVPR 2022 Oral paper! 2

249 Dec 28, 2022
This is an easy python software which allows to sort images with faces by gender and after by age.

Gender-age Classifier This is an easy python software which allows to sort images with faces by gender and after by age. Usage First install Deepface

Claudio Ciccarone 6 Sep 17, 2022
A very short and easy implementation of Quantile Regression DQN

Quantile Regression DQN Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arx

Arsenii Senya Ashukha 80 Sep 17, 2022
A list of awesome PyTorch scholarship articles, guides, blogs, courses and other resources.

Awesome PyTorch Scholarship Resources A collection of awesome PyTorch and Python learning resources. Contributions are always welcome! Course Informat

Arnas Gečas 302 Dec 03, 2022
Scenic: A Jax Library for Computer Vision and Beyond

Scenic Scenic is a codebase with a focus on research around attention-based models for computer vision. Scenic has been successfully used to develop c

Google Research 1.6k Dec 27, 2022
CBKH: The Cornell Biomedical Knowledge Hub

Cornell Biomedical Knowledge Hub (CBKH) CBKG integrates data from 18 publicly available biomedical databases. The current version of CBKG contains a t

44 Dec 21, 2022
Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class

Machine Learning University: Accelerated Tabular Data Class This repository contains slides, notebooks, and datasets for the Machine Learning Universi

AWS Samples 916 Dec 23, 2022
Trafffic prediction analysis using hybrid models - Machine Learning

Hybrid Machine learning Model Clone the Repository Create a new Directory as assests and download the model from the below link Model Link To Start th

1 Feb 08, 2022
This repository contains code to run experiments in the paper "Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers."

Signal Strength and Noise Drive Feature Preference in CNN Image Classifiers This repository contains code to run experiments in the paper "Signal Stre

0 Jan 19, 2022
Google Recaptcha solver.

byerecaptcha - Google Recaptcha solver. Model and some codes takes from embium's repository -Installation- pip install byerecaptcha -How to use- from

Vladislav Zenkevich 21 Dec 19, 2022
Server files for UltimateLabeling

UltimateLabeling server files Server files for UltimateLabeling. git clone https://github.com/alexandre01/UltimateLabeling_server.git cd UltimateLabel

Alexandre Carlier 4 Oct 10, 2022
Checking fibonacci - Generating the Fibonacci sequence is a classic recursive problem

Fibonaaci Series Generating the Fibonacci sequence is a classic recursive proble

Moureen Caroline O 1 Feb 15, 2022
Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021

Learning Generative Models of Textured 3D Meshes from Real-World Images This is the reference implementation of "Learning Generative Models of Texture

Dario Pavllo 115 Jan 07, 2023
This is the official implementation code repository of Underwater Light Field Retention : Neural Rendering for Underwater Imaging (Accepted by CVPR Workshop2022 NTIRE)

Underwater Light Field Retention : Neural Rendering for Underwater Imaging (UWNR) (Accepted by CVPR Workshop2022 NTIRE) Authors: Tian Ye†, Sixiang Che

jmucsx 17 Dec 14, 2022