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
Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)

Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)

Dominik Klein 189 Dec 21, 2022
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li

DV Lab 137 Dec 14, 2022
Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks

pix2vox [Demonstration video] Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks. Generated samples Single-category generation M

Takumi Moriya 232 Nov 14, 2022
A repository for storing njxzc final exam review material

文档地址,请戳我 👈 👈 👈 ☀️ 1.Reason 大三上期末复习软件工程的时候,发现其他高校在GitHub上开源了他们学校的期末试题,我很受触动。期末

GuJiakai 2 Jan 18, 2022
A sketch extractor for anime/illustration.

Anime2Sketch Anime2Sketch: A sketch extractor for illustration, anime art, manga By Xiaoyu Xiang Updates 2021.5.2: Upload more example results of anim

Xiaoyu Xiang 1.6k Jan 01, 2023
Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.

Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.

Ibai Gorordo 35 Sep 07, 2022
Code for Multinomial Diffusion

Code for Multinomial Diffusion Abstract Generative flows and diffusion models have been predominantly trained on ordinal data, for example natural ima

104 Jan 04, 2023
Methods to get the probability of a changepoint in a time series.

Bayesian Changepoint Detection Methods to get the probability of a changepoint in a time series. Both online and offline methods are available. Read t

Johannes Kulick 554 Dec 30, 2022
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training

30 Nov 14, 2022
Emotion classification of online comments based on RNN

emotion_classification Emotion classification of online comments based on RNN, the accuracy of the model in the test set reaches 99% data: Large Movie

1 Nov 23, 2021
Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

Dangers of Bayesian Model Averaging under Covariate Shift This repository contains the code to reproduce the experiments in the paper Dangers of Bayes

Pavel Izmailov 25 Sep 21, 2022
Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis (CVPR2022)

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis Multi-View Consistent Generative Adversarial Networks for 3D-aware

Xuanmeng Zhang 78 Dec 10, 2022
GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

MTV-TSA: Adaptable GAN Encoders for Image Reconstruction via Multi-type Latent Vectors with Two-scale Attentions. This is the official code release fo

owl 37 Dec 24, 2022
Recognize numbers from an (28 x 28) image using neural networks

Number recognition Recognize numbers from a 28 x 28 image using neural networks Usage This is an example of a simple usage of number-recognition NOTE:

Mauro Baladés 2 Dec 29, 2021
Robocop is your personal mini voice assistant made using Python.

Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand

Sohil Khanduja 3 Feb 26, 2022
No Code AI/ML platform

NoCodeAIML No Code AI/ML platform - Community Edition Video credits: Uday Kiran Typical No Code AI/ML Platform will have features like drag and drop,

Bhagvan Kommadi 5 Jan 28, 2022
Fast, flexible and easy to use probabilistic modelling in Python.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

Jacob Schreiber 3k Dec 29, 2022
Fast convergence of detr with spatially modulated co-attention

Fast convergence of detr with spatially modulated co-attention Usage There are no extra compiled components in SMCA DETR and package dependencies are

peng gao 135 Dec 07, 2022
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

NeoDTI NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (Bioinformatics).

62 Nov 26, 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations

Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch

8 Oct 06, 2022