Python-GVAS-JSON-Converter (SavConverter) is a library designed to convert Unreal Engine's Game Variable and Attribute System (GVAS) files between .sav
and .json
formats. It provides a way to read and interpret the binary structure of .sav
files and translate them into human-readable JSON format, as well as convert JSON back to the original .sav
format.
- Convert from .sav to .json: Supports converting Unreal Engine's
.sav
files into.json
format. - Convert from .json to .sav: Includes the ability to convert
.json
files back to the original.sav
format. - JSON Editing Functions: Offers a range of functions to navigate, manipulate, and modify the specific JSON structure with ease.
- Tested Games: The conversion has been tested with the following games (and may work for others):
Crab Champions
Deep Rock Galactic
High On Life
Hogwarts Legacy
Stray
- Actively Developed: This project is actively being developed, with new features and improvements being added.
- Untested .sav Files: Some classes in SavProperties.py may not function correctly with untested
.sav
files, and certain SavReader.py code segments may be broken for untested datatypes. While the library has been designed with flexibility in mind, full compatibility with all.sav
files cannot be guaranteed at this stage. Efforts will continue to progressively test other games'.sav
files and refine the code accordingly.
To install SavConverter, you can use pip. Open your terminal and run the following command:
pip install SavConverter
This will install the latest version of SavConverter.
The conversion functions provide an easy way to translate between Unreal Engine's .sav
and .json
formats.
- Read .sav: Use
read_sav(file_path)
to get the property instances from the.sav
file. - Convert to JSON: Use
sav_to_json(props, string=True)
to convert properties to JSON. Use thestring
parameter to return a JSON string or object. - Write to File: Write the JSON string output to a
.json
file.
- Load JSON: Use
load_json(file_path)
to read a JSON file. - Convert to Binary: Use
json_to_sav(json_string)
to convert JSON to binary data. - Write to File: Write the binary data to a
.sav
file.
The JSON editing functions allow users to navigate and manipulate the JSON structure using paths, providing functions like:
get_object_by_path(data, path)
: Locate objects in JSON by specifying the path. Returns the object found at the specified path orNone
if the path is not found.
insert_object_by_path(data, path, new_object, position='after')
: Add a new object at the specified location. Use theposition
parameter to insert before or after the targeted object.
replace_object_by_path(data, path, new_object)
: Replace an object at the specified path with a new object.
update_property_by_path(data, path, new_value)
: Modify specific keys within an object at the given full path to the property.
load_json(file_path)
: Load a JSON file from the specified file path.
obj_to_json(obj)
: Convert an object into a JSON string with proper indentation.
print_json(data)
: Print a JSON object with indentation for better readability.
path
: A list that describes the path to the object you're looking for. Each element in the list can be:- A dictionary, to match a specific key-value pair.
- A string, to reference a key.
- An integer, to reference an index in a list.
Example path:
path_to_find = [{"name": "RankedWeapons"}, "value", 0, {'name': 'Rank'}, 'value']
Let's break down the example path:
{"name": "RankedWeapons"}
: Look for an object with a key"name"
and a value"RankedWeapons"
."value"
: Inside the found object, look for the key"value"
.0
: Inside the value, look for the first element in the list (index0
).{'name':'Rank'}
: Look for an object within that element with a key"name"
and a value"Rank"
."value"
: Inside the found object, look for the key"value"
.
This path leads you directly to a specific part of the JSON structure
A comprehensive usage example for all the available functions is provided in the Example.py file. This example was developed using the Crab Champions
.sav
and .json
files, which you can find in the ExampleSavFiles directory.