Difference between revisions of "IC Python API:Saving JSON"

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== Necessary Modules ==
 
== Necessary Modules ==
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Besides the fundamental Reallusion Python module, we'll also need '''Pyside2''' to build the user interface, '''os''' to read/write to file, and '''json''' to interpret/convert JSON data.
  
 
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<syntaxhighlight lang="Python">

Revision as of 21:16, 8 March 2020

Main article: RL Python Samples.
Related article: Loading JSON.

This article will go over the handling of JSON formatted data for iClone. This is done by saving transformational data for all the props in the current iClone scene to an external .json file.

Necessary Modules

Besides the fundamental Reallusion Python module, we'll also need Pyside2 to build the user interface, os to read/write to file, and json to interpret/convert JSON data. 

import RLPy
import os
import json

Global Variables

data = {"props": []}  # Empty array to store object data
time = RLPy.RTime(0)
decimal_places = 3  # How accurately do we want to store the transform data?
exclusions = ["Shadow Catcher "]  # Create a list objects to ignore when saving
all_props = RLPy.RScene.FindObjects(RLPy.EObjectType_Prop)

Recording Transform Data

for prop in all_props:
    if prop.GetName() in exclusions:
        continue
    control = prop.GetControl("Transform")
    data_block = control.GetDataBlock()
    data["props"].append(
        {"Name": prop.GetName(),
         "Position": {
            "x": round(data_block.GetData("Position/PositionX", time).ToFloat(), decimal_places),
            "y": round(data_block.GetData("Position/PositionY", time).ToFloat(), decimal_places),
            "z": round(data_block.GetData("Position/PositionZ", time).ToFloat(), decimal_places)
        },
            "Rotation": {
            "x": round(data_block.GetData("Rotation/RotationX", time).ToFloat(), decimal_places),
            "y": round(data_block.GetData("Rotation/RotationY", time).ToFloat(), decimal_places),
            "z": round(data_block.GetData("Rotation/RotationZ", time).ToFloat(), decimal_places)
        },
            "Scale": {
            "x": round(data_block.GetData("Scale/ScaleX", time).ToFloat(), decimal_places),
            "y": round(data_block.GetData("Scale/ScaleY", time).ToFloat(), decimal_places),
            "z": round(data_block.GetData("Scale/ScaleZ", time).ToFloat(), decimal_places)
        }
        }
    )

Saving the JSON File

# Prepare the filepath and save the json file
file_name = "all_prop_transformations.json"

local_path = os.path.dirname(os.path.realpath(__file__))
json_file_path = os.path.join(local_path, file_name)

with open(json_file_path, "w") as json_file:
    json.dump(data, json_file)

Reading Back the JSON File

# Read back the data and pretty print it in the console
with open(json_file_path, "r") as json_file:
    data_in = json.load(json_file)
    print(json.dumps(data_in, indent=4, sort_keys=True))
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