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releaser's Introduction

Releaser

What is it?

Releaser -- I'm not really pleased with the name... -- is a tool which crawls a folder recursively for movie releases and collecting information from various apis. I started this project, because I have to learn Java for my job, so please don't blame me for the code. I'm' trying my best =)

Why?

Some people own a very large movie collection on their harddrives. Imagine following situation: "I want to watch a horror movie". Have fun & good luck searching your collection for horror movies. This tool will help you filter your collection as you need it.

Current Features

Currently this is a very early alpha version. You can pre-order it right now and get instant access... just kidding ;P

  • Searching recursive for release folder names
  • Collecting information for each release from xrel.to and omdapi.com
  • Displaying all the shit

Planned Features

  • Show detailed information for each release
  • Filter movies for genres, actors, names etc.
  • Detect unnecessary double releases
  • Start playing a movie in release folder
  • Add support for non release conform folders (common movie names)
  • Add multithreading support while collecting information from apis
  • Add scheduler for collecting information from apis (because some apis have a request limit)
  • Add support for more apis (could cause huge software architecture changes...)
  • ...

Filter Concept

  • Syntax:

      category:search-term, category:search-term, [...]
    
  • Example:

      genre:horror, actor:Anthony Perkins
    

Categories

  • genre
  • actor
  • title
  • director
  • writer
  • imdb-id
  • country
  • release-group

Special Categories

released

  • Syntax:

      released:<operator><year>
    
  • Example:

      released:=2015
    
  • Example:

      released:<1990
    

imdb

  • Syntax:

      imdb:<operator><number>
    
  • Example:

      imdb:<7
    
  • Example:

      imdb:>5.5
    

metascore

  • Syntax:

      metascore:<operator><number>
    
  • Example:

      metascore:>=67
    
  • Example:

      metascore:<78
    

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