Skip to main content

Python command line tool to download and organize your Rom Dat files.

Project description

Ask DeepWiki PyPI version Downloads License Python Version

Datoso

Datoso

Datoso (DAT Organizer and SOrter) is a WIP Python command line tool to download and organize your Dat Roms. As today the tool supports dat-omatic, redump, and pleasuredome dats. It merges all the dats in a tree folder structure thought to use with Emulators rather than dats. The dat file format must be compatible with ROMVault.

Features

  • It can download updated dats from different sources (dat-omatic, redump, and pleasuredome)
  • It can process dats to generate a folder structure compatible with emulators
  • It can deduplicate dats
  • It can import dats from existing RomVault
  • It can mark MIA roms

Installation

Datoso requires python 3.11+.

Use pip (recommended to use a virtual environment):

# Optional (create a virtual environment)
python3 -m venv venv
source venv/bin/activate

# Install datoso base (doesn't do much without plugins)
pip install datoso

# Install datoso with all official plugins
pip install datoso[all]

# Install datoso with only one of the plugins
pip install datoso[SEED_NAME]
# e.g.
pip install datoso[fbneo]

# or install the plugins separately
# Install datoso plugins after installing datoso
pip install datoso_seed_SEED_NAME
# e.g.
pip install datoso_seed_nointro

Seeds available:

  • fbneo (Final Burn Neo)
  • nointro (No-Intro Datomatic)
  • redump (Redump)
  • pleasuredome (Pleasuredome)
  • tdc (Total DOS Collection)
  • vpinmame (Visual Pinball)
  • whdload (WHDLoad)
  • eggman (Eggman Teknoparrot, ALLs.net)
  • md_enhanced (Mega Drive Enhanced) (deprecated)
  • sfc_enhancedcolors (Super Famicom Enhanced Colors) (deprecated)
  • sfc_msu1 (Super Famicom MSU1) (deprecated)
  • sfc_speedhacks (Super Famicom Speed Hacks) (deprecated)
  • translatedenglish (Translated English) (deprecated)

Usage

# Show help
$ datoso --help

usage: datoso [-h] [-v] {config,doctor,dat,seed,import,deduper,all} ...

Update dats from different sources.

positional arguments:
  {config,doctor,dat,seed,import,deduper,base,fbneo,nointro,pleasuredome,private,redump,translatedenglish,all}
                        sub-command help
    config              Show configuration
    doctor              Doctor installed seeds
    dat                 Changes configuration in current dats
    seed                Seed admin commands
    import              Import dats from existing romvault
    deduper             Deduplicate dats, removes duplicates from input dat existing in parent dat
    all                 Update seed all

options:
  -h, --help            show this help message and exit
  -v, --version         show version



# Seed commands
$ datoso seed [list,details]

# Seed commands
$ datoso {<seed> | all} {--fetch | --process} [--filter FILTER]
#e.g.
$ datoso redump --fetch                    # Downloads all dats from redump
$ datoso redump --process --filter IBM     # Process all dats downloaded in the step before that has IBM in its name

# Dat management
$ datoso dat -d <dat_name>                 # Finds a dat by partial name (cannot set/modify properties)
$ datoso dat -d <seed>:<dat_name>          # Finds a dat by partial name in a seed (can set/modify properties)
$ datoso dat -d <dat_name> --fields <field1> <field2> ...  # Shows only the fields specified
$ datoso dat -d <seed>:<dat_name> --fields <field1> <field2> ...  # Shows only the fields specified
$ datoso dat -d <dat_name> -on             # Finds a dat by partial name in a seed and shows the full name (for setting properties)
$ datoso dat -d <seed>:<dat_name> --set <property>=<value>   # Sets a property of a dat
$ datoso dat -d <seed>:<dat_name> --unset <property>         # Unsets a property of a dat


# Doctor
$ datoso doctor [seed]        # Validates if all requirements for all seeds are OK

# Deduper
$ datoso deduper -input <input_dat> -p <parent_dat> [-o <output_dat>]   # If output dat is not especified, input dat will be overwritten.

optional arguments:
   -h, --help            show the help message and exit, feel free to append to other commands
   -v, --verbose         verbose output
   -q, --quiet           quiet output

Developing a seed

Check datoso_seed_base

Posible Issues

Be careful when updating dats from datomatic, sometimes they put a captcha, and you may be banned if the captcha fails.

TODO (without priority)

WISHLIST (without priority)

  • Support for deduplication on ClrMamePro dat structure
  • Web interface
  • Download from central repositories (an S3 or something like that to prevent overload main sites)
    • Lambda to download dats and upload to S3
    • Downloading from S3
  • Auto-Import MIA Lists (for redump)
  • .cue Generator for Non-Redump Dats

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datoso-1.1.1.tar.gz (48.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datoso-1.1.1-py3-none-any.whl (55.8 kB view details)

Uploaded Python 3

File details

Details for the file datoso-1.1.1.tar.gz.

File metadata

  • Download URL: datoso-1.1.1.tar.gz
  • Upload date:
  • Size: 48.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for datoso-1.1.1.tar.gz
Algorithm Hash digest
SHA256 35d7a131ccea8021542d72606bbd62674b7d96a8cc65243eaf84abedcd43d241
MD5 9dfb148669470a59b92f191612b6f9d5
BLAKE2b-256 fdb21362d8bedd3bd8282a6832632692264caa59adade854322d7620d65a4e76

See more details on using hashes here.

File details

Details for the file datoso-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: datoso-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 55.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for datoso-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 498f065a673c71fe51fcc8c4f5649556d120a08a095228fe9b20a2bbbe854f7f
MD5 f41d01a4439424d194b763577c4a039a
BLAKE2b-256 8740e5a16dd49c1fd71ebd9004ef3b42bb9c90a68172875656bdce8a3401f620

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page