KoikatuCharaLoader

A simple deserializer and serializer for character and scene data from Koikatu, EmotionCreators, Honeycome, SummerVacationScramble and Aicomi.

日本語マニュアルがここにあります

Installation

You can install the module from PyPI.

$ pip install kkloader

If this doesn't work, try the following command (this is typically needed for Windows users).

$ python -m pip install kkloader

If you just want to quickly try out this module, you can click the "Open In Colab" button above to run it directly on Colab.

Basic Usage

$ python
>>> from kkloader import KoikatuCharaData # Import the module.
>>> kc = KoikatuCharaData.load("./data/kk_chara.png") # Load character data.
>>> kc["Parameter"]["nickname"] # Print the character's nickname.
'かずのん'
>>> kc["Parameter"]["nickname"] = "chikarin" # Change the nickname.
>>> kc.save("./kk_chara_modified.png") # Save to `kk_chara_modified.png`.

That's it! :)

List of Classes

• Supports saving and loading:
  • KoikatuCharaData
  • KoikatuSceneData
  • EmocreCharaData
  • HoneycomeCharaData
  • SummerVacationCharaData
  • SummerVacationSaveData
  • AicomiCharaData
  • HoneycomeSceneData (also compatible with DigitalCraft)
• Supports loading only:
  • KoikatuSaveData
  • EmocreMapData
  • EmocreSceneData

Any class can be imported with from kkloader import KoikatuCharaData and data can be loaded using the .load(filename) method.

How Block Data Works

Koikatu character data consists of several block data sections. Each block data contains various character parameters. A typical Koikatu character data includes the following block data:

name of blockdata	description
Custom	Values for the character's face, body, and hairstyle.
Coordinate	Values for clothes and accessories worn by characters.
Parameter	Values for character's name, birthday, preferences, etc.
Status	Values for clothed states, etc. (Usage in the game is unclear)
About	userID & dataID (added from Koikatu Sunshine)
KKEx	Data used by mods

You can check which block data is present in blockdata from the KoikatuCharaData object:

>>> kc.blockdata
['Custom', 'Coordinate', 'Parameter', 'Status']

If there is block data in an unknown format, it can be found using unknown_blockdata.

Accessing Block Data

The block data can be accessed either as a member variable of the KoikatuCharaData class or as a dictionary.

>>> kc.Custom
<kkloader.KoikatuCharaData.Custom object at 0x7f406bf18460>
>>> kc["Custom"]
<kkloader.KoikatuCharaData.Custom object at 0x7f406bf18460>

As shown, both lines access the same kc.Custom.

Find Variables

You can try out the character information display from this program in your browser on this site. If you are looking to identify which variables to modify, this interface can serve as a useful starting point for narrowing down potential candidates.

By using the prettify method, the contents of the variables within the data block will be displayed in a more readable format. This is useful for identifying which variables exist.

>>> kc["Custom"].prettify()
{
  "face": {
    "version": "0.0.2",
    "shapeValueFace": [
      ...
    ],
    "headId": 0,
    "skinId": 0,
    "detailId": 0,
    "detailPower": 0.41674190759658813,
    ...

KKEx MessagePack Handling

The KKEx in blockdata sometimes contains fields encoded as raw bytes that are themselves MessagePack payloads.
kkloader automatically deserializes and reserializes such fields for known plugins listed in KKEx.NESTED_KEYS.

Export to JSON file

from kkloader import KoikatuCharaData

k = KoikatuCharaData.load("./data/kk_chara.png")
k.save_json("data.json") 

data.json

{
  "product_no": 100,
  "header": "\u3010KoiKatuChara\u3011",
  "version": "0.0.0",
  "Custom": {
    "face": {
      "version": "0.0.2",
      "shapeValueFace": [
        0.5403226017951965,
        1.0,
        0.2016129046678543,
        0.0,
        0.22580644488334656,
        0.0,
        0.0,
        0.1794193685054779,
        0.0,
...

If you add include_image=True to the save_json function's arguments, base64-encoded images will be included in the JSON output.

Recipes

Change Character Name

from kkloader import KoikatuCharaData

k = KoikatuCharaData.load("./data/kk_chara.png")
k["Parameter"]["lastname"] = "春野"
k["Parameter"]["firstname"] = "千佳"
k["Parameter"]["nickname"] = "ちかりん"
k.save("./data/kk_chara_modified")

Set Character Height to 50

from kkloader import KoikatuCharaData

k = KoikatuCharaData.load("./data/kk_chara.png")
k["Custom"]["body"]["shapeValueBody"][0] = 0.5
k.save("./data/kk_chara_modified.png")  

Convert Character Cards from EmotionCreators to Koikatu

ec_to_kk.py in the sample directory might be helpful.

Using this web app, you can easily perform the conversion directly from your browser.

Load Scene Data

The walk() method recursively traverses all objects including nested children (e.g., items attached to characters, objects inside folders).

from kkloader import KoikatuSceneData

scene = KoikatuSceneData.load("./data/kk_scene.png")

# Simple iteration over all objects
for key, obj in scene.walk():
    obj_type = obj["type"]
    print(f"Key: {key}, Type: {obj_type}")

# With depth information (useful for visualizing hierarchy)
for key, obj, depth in scene.walk(include_depth=True):
    indent = "  " * depth
    obj_type = obj["type"]
    print(f"{indent}[depth={depth}] Key: {key}, Type: {obj_type}")

Object types: 0=Character, 1=Item, 2=Light, 3=Folder, 4=Route, 5=Camera, 7=Text

Extract Character Data from Scene

You can easily extract character data using the walk() method above.

import copy

from kkloader import KoikatuSceneData

# Load scene data
scene = KoikatuSceneData.load("./data/kk_scene.png")

# Iterate over all objects in the scene
for _, obj_info in scene.walk():
    # Type 0 represents character data
    if obj_info["type"] == 0:
        chara = obj_info["data"]["character"]

        # Use face thumbnail as the character card image
        chara.image = copy.deepcopy(chara.face_image)

        # Save the character data
        chara.save("./data/{}.png".format(name))

Others

Various examples using this module can be found in this repository, and you can also use it on this site.

Contributing

You'll need Python 3.11 and poetry command (you can install with pip install poetry).

1. Fork the repository and pull the latest changes.
2. Run make install to install the dependencies.
3. Create a new branch and make changes to the code.
4. Run make format and make check
5. Once make check passes, push the code and open a pull request on the repository.

Acknowledgements

• martinwu42/pykoikatu

Contact

@tropical_362827