Skip to main content

Python library for GTA V asset workflows including YMAP, YTYP, RPF, YTD and GameFileCache utilities.

Project description

FiveFury

FiveFury is a Python library for GTA V asset workflows.

It provides practical support for:

  • YMAP read/write
  • YTYP read/write
  • RPF7 OPEN archives and nested .rpf
  • ZIP -> RPF and RPF -> ZIP
  • fast asset indexing with GameFileCache
  • texture extraction from YTD, GTXD parent chains and embedded dictionaries in YDR, YDD, YFT and YPT

Installation

pip install fivefury

For local development from a checkout:

pip install -e .

Python 3.11+ is required.

Quick Start

Create a YMAP

from fivefury import Entity, Ymap

ymap = Ymap(name="example_map")
ymap.add_entity(
    Entity(
        archetype_name="prop_tree_pine_01",
        guid=1,
        position=(0.0, 0.0, 0.0),
        rotation=(0.0, 0.0, 0.0, 1.0),
        lod_dist=150.0,
    )
)
ymap.recalculate_extents()
ymap.recalculate_flags()
ymap.save("example_map.ymap")

If you want an internal resource path, set ymap.resource_name before saving.

Load a YMAP

from pathlib import Path

from fivefury import Ymap

ymap = Ymap.from_bytes(Path("example_map.ymap").read_bytes())

print(len(ymap.entities))
print(ymap.flags, ymap.content_flags)

Create a YTYP

from fivefury import Archetype, ParticleEffectExtension, Ytyp

ytyp = Ytyp(name="example_types")

archetype = Archetype(
    name="prop_tree_pine_01",
    lod_dist=150.0,
    asset_type=0,
    bb_min=(-1.5, -1.5, -0.5),
    bb_max=(1.5, 1.5, 8.0),
    bs_centre=(0.0, 0.0, 3.5),
    bs_radius=5.0,
)
archetype.add_extension(
    ParticleEffectExtension(
        name="fx_tree",
        fx_name="scr_wheel_burnout",
        fx_type=2,
        scale=0.8,
    )
)

ytyp.add_archetype(archetype)
ytyp.save("example_types.ytyp")

Pack Assets into an RPF

from fivefury import Entity, Ymap, create_rpf

ymap = Ymap(name="packed_map")
ymap.add_entity(Entity(archetype_name="prop_tree_pine_01", position=(0.0, 0.0, 0.0), lod_dist=120.0))
ymap.recalculate_extents()
ymap.recalculate_flags()

archive = create_rpf("mods.rpf")
archive.add("stream/packed_map.ymap", ymap)
archive.add("docs/readme.txt", b"hello from fivefury")
archive.save("mods.rpf")

Convert between ZIP and RPF

from fivefury import rpf_to_zip, zip_to_rpf

zip_to_rpf("unpacked_mod_folder", "packed_mod.rpf")
rpf_to_zip("packed_mod.rpf", "packed_mod.zip")

Directories ending in .rpf are packed as nested archives.

GameFileCache

Scan a Game Installation

from fivefury import GameFileCache

cache = GameFileCache(
    r"C:\Program Files (x86)\Steam\steamapps\common\Grand Theft Auto V",
    scan_workers=8,
    max_loaded_files=16,
)
cache.scan_game(use_index_cache=True)

print(cache.asset_count)
print(cache.stats_by_kind())

GameFileCache indexes loose files and archive contents, then loads supported formats lazily.

Control DLC and Scan Scope

from fivefury import GameFileCache

cache = GameFileCache(
    r"C:\Program Files (x86)\Steam\steamapps\common\Grand Theft Auto V",
    dlc_level="mpbattle",
    exclude_folders="mods;scratch",
    load_audio=False,
    load_vehicles=True,
    load_peds=True,
)
cache.scan_game(use_index_cache=True)

Useful scan options:

  • dlc_level: limit active DLCs
  • exclude_folders: ignore folders by prefix
  • load_audio: skip audio-related assets during scan
  • load_vehicles: skip vehicle-related assets during scan
  • load_peds: skip ped-related assets during scan
  • use_index_cache: reuse the persisted scan index for faster startup

Look Up Assets by Name and Type

asset = cache.get_asset("prop_tree_pine_01", kind=".ydr")
print(asset.path)
print(asset.short_name_hash)

You can iterate the cache directly:

for asset in cache:
    print(asset.path, asset.kind)

Or iterate a specific kind:

for ydr in cache.iter_kind(".ydr"):
    print(ydr.path)

Read and Extract Assets

from pathlib import Path

asset = cache.get_asset("prop_tree_pine_01", kind=".ydr")
data = cache.read_bytes(asset, logical=True)
out_path = cache.extract_asset(asset, Path("prop_tree_pine_01.ydr"))

print(len(data))
print(out_path)

Common access patterns:

  • get_asset(...): resolve one asset by path, name or hash
  • read_bytes(...): get bytes directly
  • get_file(...): build a lazy GameFile wrapper
  • extract_asset(...): write the asset to disk

Extraction defaults to standalone file output. For resource assets such as YDR, YDD, YFT, YTD, YMAP and YTYP, this produces a valid standalone RSC7 file.

If you want the logical payload instead:

cache.extract_asset("prop_tree_pine_01", "prop_tree_pine_01_payload.ydr", logical=True)

Extract Textures for an Asset

GameFileCache can resolve textures from:

  • direct YTD files
  • texture_dictionary references from YTYP archetypes
  • parent relationships from gtxd.meta
  • embedded texture dictionaries inside YDR, YDD, YFT and YPT
from pathlib import Path

paths = cache.extract_asset_textures(
    "stt_prop_stunt_bowling_pin.yft",
    Path("bowling_pin_textures"),
)

for path in paths:
    print(path)

You can inspect the texture refs first:

for ref in cache.list_asset_textures("uppr_001_u.ydd"):
    print(ref.origin, ref.container_name, ref.texture.name)

Type Dictionaries

GameFileCache exposes lazy type dictionaries keyed by shortNameHash.

from fivefury import jenk_hash

ydr = cache.YdrDict[jenk_hash("prop_tree_pine_01")]
ytd = cache.YtdDict[jenk_hash("vehshare")]
ybn = cache.YbnDict[jenk_hash("v_carshowroom")]

Available dictionaries include YdrDict, YddDict, YtdDict, YmapDict, YtypDict, YftDict, YbnDict, YcdDict, YptDict, YndDict, YnvDict, YedDict, YwrDict, YvrDict, RelDict and Gxt2Dict.

Archetype Lookup

GameFileCache also builds a lazy global archetype lookup from indexed YTYP files.

archetype = cache.get_archetype("prop_tree_pine_01")
print(archetype.name)

for archetype in cache.iter_archetypes():
    print(archetype.name)

Global Hash Resolver

from fivefury import register_name, register_names_file, resolve_hash, jenk_hash

register_name("prop_tree_pine_01")
register_names_file("common_names.txt")

print(resolve_hash(jenk_hash("prop_tree_pine_01")))

The resolver is shared and optional. It is useful for display, lookups and tooling.

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

fivefury-0.1.3.tar.gz (429.5 kB view details)

Uploaded Source

Built Distribution

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

fivefury-0.1.3-cp311-abi3-win_amd64.whl (477.3 kB view details)

Uploaded CPython 3.11+Windows x86-64

File details

Details for the file fivefury-0.1.3.tar.gz.

File metadata

  • Download URL: fivefury-0.1.3.tar.gz
  • Upload date:
  • Size: 429.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for fivefury-0.1.3.tar.gz
Algorithm Hash digest
SHA256 ec40d835c24916c9a8bf58c90f0b785e415e251285f85555e8b2396dab2b37a8
MD5 5136b5919ee9d9b6dcf730b88f762e16
BLAKE2b-256 25eced4c68ffacd5f9d5bf61baf6c657c66eae985a2be6d71adde40b1d283c91

See more details on using hashes here.

File details

Details for the file fivefury-0.1.3-cp311-abi3-win_amd64.whl.

File metadata

  • Download URL: fivefury-0.1.3-cp311-abi3-win_amd64.whl
  • Upload date:
  • Size: 477.3 kB
  • Tags: CPython 3.11+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for fivefury-0.1.3-cp311-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 cc6d7ce8fba252feefe8cc21373676d061f66c8514277f9a89ec3d0e486b0c54
MD5 f170e3d192447bb92e6eeb0ce69066a0
BLAKE2b-256 90a7419eda668e50dea2439fd8fdef919032f069800303aa60181fcba2d46593

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