santiagosayshey 6ca6db355e feat: Repacks (#23)
create(format): Repack CFs
- Uses trash guides regexes as a baseline: https://trash-guides.info/Sonarr/sonarr-collection-of-custom-formats/#repackproper
- Combines regexes into single patterns for performance
- Explains different in p2p / scene naming standards

tweak(profile): Add Repack CFs to quality profiles
- Upgrade lone releases with repack / proper
- Disregards freeleech by starting scores with +5
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Dictionary Database Repository

This repository hosts Dictionary's database containing:

  • Regex Patterns
  • Custom Formats
  • Quality Profiles

The database serves two main purposes:

  1. Powers our website and wiki documentation
  2. Provides import files for the Profilarr application

Branches

Stable

Contains thoroughly tested and verified database entries ready for production use. All entries have gone through our quality assurance process.

Dev

Contains the latest updates and additions that are pending formal verification. May include experimental patterns and profiles that require further testing.

Scripts

The repository includes utility scripts to help maintain and generate database entries.

Tier Creator

A Python script that generates Custom Formats and Regex Patterns from tier data files.

Location: /scripts/tierCreator.py

Usage:

python tierCreator.py <json_file> --resolution <resolution> --type <type> [--dry-run]

Arguments:

  • json_file: Path to a JSON file in /tiers containing release group tier data
  • --resolution: One of: SD, 720p, 1080p, 2160p
  • --type: One of: Quality, Balanced
  • --dry-run: Optional flag to preview changes without writing files

Example:

python tierCreator.py ../tiers/2160p_quality.json --resolution 2160p --type Quality

The script will:

  1. Read the tier data from the specified JSON file
  2. Create regex patterns in /regex_patterns for any release groups that don't have one
  3. Generate custom formats in /custom_formats for each tier
Description
Database configurations for Dictionarry
Readme 6.4 MiB
Languages
Python 100%