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
MG-GCN: Scalable Multi-GPU GCN Training Framework

MG-GCN MG-GCN: multi-GPU GCN training framework. For more information, please read our paper. After cloning our repository, run git submodule update -

Translational Data Analytics (TDA) Lab @GaTech 6 Oct 24, 2022
TUPÃ was developed to analyze electric field properties in molecular simulations

TUPÃ: Electric field analyses for molecular simulations What is TUPÃ? TUPÃ (pronounced as tu-pan) is a python algorithm that employs MDAnalysis engine

Marcelo D. Polêto 10 Jul 17, 2022
Self-Regulated Learning for Egocentric Video Activity Anticipation

Self-Regulated Learning for Egocentric Video Activity Anticipation Introduction This is a Pytorch implementation of the model described in our paper:

qzhb 13 Sep 23, 2022
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

ASGNet The code is for the paper "Adaptive Prototype Learning and Allocation for Few-Shot Segmentation" (accepted to CVPR 2021) [arxiv] Overview data/

Gen Li 91 Dec 23, 2022
Detectron2-FC a fast construction platform of neural network algorithm based on detectron2

What is Detectron2-FC Detectron2-FC a fast construction platform of neural network algorithm based on detectron2. We have been working hard in two dir

董晋宗 9 Jun 06, 2022
PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)

mlp-mixer-pytorch PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021) Usage import torch from mlp_mixer

isaac 27 Jul 09, 2022
Code for "Modeling Indirect Illumination for Inverse Rendering", CVPR 2022

Modeling Indirect Illumination for Inverse Rendering Project Page | Paper | Data Preparation Set up the python environment conda create -n invrender p

ZJU3DV 116 Jan 03, 2023
An open framework for Federated Learning.

Welcome to Intel® Open Federated Learning Federated learning is a distributed machine learning approach that enables organizations to collaborate on m

Intel Corporation 397 Dec 27, 2022
Source code for "Roto-translated Local Coordinate Framesfor Interacting Dynamical Systems"

Roto-translated Local Coordinate Frames for Interacting Dynamical Systems Source code for Roto-translated Local Coordinate Frames for Interacting Dyna

Miltiadis Kofinas 19 Nov 27, 2022
🥈78th place in Riiid Answer Correctness Prediction competition

Riiid Answer Correctness Prediction Introduction This repository is the code that placed 78th in Riiid Answer Correctness Prediction competition. Requ

Jungwoo Park 10 Jul 14, 2022
Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

Knowledge Distillation for BERT Unsupervised Domain Adaptation Official PyTorch implementation | Paper Abstract A pre-trained language model, BERT, ha

Minho Ryu 29 Nov 30, 2022
Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment (ICCV2021)

Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment This is a pytorch project for the paper Seeing Dynamic Scene i

DV Lab 21 Nov 28, 2022
《Fst Lerning of Temporl Action Proposl vi Dense Boundry Genertor》(AAAI 2020)

Update 2020.03.13: Release tensorflow-version and pytorch-version DBG complete code. 2019.11.12: Release tensorflow-version DBG inference code. 2019.1

Tencent 338 Dec 16, 2022
Unsupervised Representation Learning via Neural Activation Coding

Neural Activation Coding This repository contains the code for the paper "Unsupervised Representation Learning via Neural Activation Coding" published

yookoon park 5 May 26, 2022
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment

FaceQgen FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment This repository is based on the paper: "FaceQgen: Semi-Supervised D

Javier Hernandez-Ortega 3 Aug 04, 2022
Collaborative forensic timeline analysis

Timesketch Table of Contents About Timesketch Getting started Community Contributing About Timesketch Timesketch is an open-source tool for collaborat

Google 2.1k Dec 28, 2022
PyTorch implementation for "Mining Latent Structures with Contrastive Modality Fusion for Multimedia Recommendation"

MIRCO PyTorch implementation for paper: Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation Dependencies Python 3.

Big Data and Multi-modal Computing Group, CRIPAC 9 Dec 08, 2022
Artificial Neural network regression model to predict the energy output in a combined cycle power plant.

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

1 Feb 11, 2022
Codes and scripts for "Explainable Semantic Space by Grounding Languageto Vision with Cross-Modal Contrastive Learning"

Visually Grounded Bert Language Model This repository is the official implementation of Explainable Semantic Space by Grounding Language to Vision wit

17 Dec 17, 2022
Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

Train longer, generalize better - Big batch training This is a code repository used to generate the results appearing in "Train longer, generalize bet

Elad Hoffer 145 Sep 16, 2022