Datoso is a WIP Python command line tool to download and organize your Dat Roms. As today the tool supports dat-omatic, redump, and translated-english 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.
- It can download dats from different sources (dat-omatic, redump, translated-english)
- 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
Datoso requires python 3.10+.
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[fbneo]
pip install datoso[nointro]
pip install datoso[pleasuredome]
pip install datoso[redump]
pip install datoso[translatedenglish]
# Install datoso plugins after installing datoso
pip install datoso_seed_fbneo
pip install datoso_seed_nointro
pip install datoso_seed_pleasuredome
pip install datoso_seed_redump
pip install datoso_seed_translatedenglish
# 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
# 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
Check datoso_seed_base
Be careful when updating dats from datomatic, sometimes they put a captcha, and you may be banned if the captcha fails, captcha support is OTW.
- Change logo
- Change pydantic to dataclasses
- Better rules update process
- Make update rules write to database only when finished
- Tests
- More dat repositories
- Mega.nz download support (https://pypi.org/project/mega.py/)
- Zippyshare download support (https://pypi.org/project/zippyshare-downloader/)
- Zippyshare download support (https://pypi.org/project/pyOneFichierClient/)
- Configurable folder structure (instead of emulator-focused structure use dat-repositories or viceversa)
- Maybe with a builder, to avoid the need to change the code anytime
# Find folders with more than one dat file:
$ find . -type f -iname '*.dat' -printf '%h\n'|sort|uniq -cd
# Find and delete empty folders:
$ find . -type d -empty -print -delete
# Pylint
$ pylint src --errors-only
$ pylint src --disable=all --enable=missing-function-docstring
# Find duplicate names different case
$ find . | sort -f | uniq -i -d
- Dat structure for ClrMamePro or another dat manager.
- 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)
- Add [MIA] to dat roms (DONE)
- Remove MIA from dats (probably not needed as it already can mark them)
- .cue Generator
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.