scripts/generate-icat-comparison-projects.py

from PIL import Image
import os
import re
import sys
import json
import uuid
import struct
from collections import defaultdict

def get_png_dimensions(file_path):
    """
    Returns the (width, height) of a PNG image by reading the file's metadata.
    """
    with open(file_path, 'rb') as f:
        # PNG files start with an 8-byte signature
        signature = f.read(8)
        
        # Check if the file is a valid PNG by checking the signature
        if signature != b'\x89PNG\r\n\x1a\n':
            raise ValueError("Not a valid PNG file")
        
        # The IHDR chunk starts after the 8-byte signature and 4-byte length field
        f.read(4)  # Skip the length of the IHDR chunk
        
        # Ensure we're reading the IHDR chunk
        ihdr_chunk = f.read(4)
        if ihdr_chunk != b'IHDR':
            raise ValueError("Invalid PNG IHDR chunk")

        # Read width and height from the IHDR chunk (8 bytes total)
        width, height = struct.unpack('>II', f.read(8))

    return width, height

# Get the directory of the current script
script_dir = os.path.dirname(os.path.abspath(__file__))

# Construct the full path to the target directory
base_dir = os.path.join(script_dir, '..', 'result', 'flux-dev')

output_dir = os.path.join(script_dir, '..', 'output/icat_projects')

if not os.path.exists(base_dir):
    print(f"The path {base_dir} does not exist!")
    sys.exit(1)  # Exit the program with a non-zero status to indicate an error
else: 
    print(f"Searching for images in {base_dir}.")

os.makedirs(output_dir, exist_ok=True)

# Regular expression to match the five-digit number in the file names
pattern = re.compile(r'\d{5}')

# Dictionary to store file groups
file_groups = defaultdict(list)

# Walk through all subdirectories and files
for root, dirs, files in os.walk(base_dir):
    for file in files:
        # Search for the five-digit number in the file name
        match = pattern.search(file)
        if match:
            # Get the five-digit number
            number = match.group()
            # Add the file (with its full path) to the corresponding group
            file_groups[number].append(os.path.join(root, file))

# JSON structure template
json_structure = {
    "uiVisibility": {
        "antiAliasSelect": True,
        "fullscreenButton": True,
        "gridSelect": True,
        "helpButton": True,
        "layersButton": True,
        "layoutTabs": True,
        "loopButton": True,
        "mediaInfo": True,
        "pixelDataButton": False,
        "progressBar": True,
        "setSelect": False,
        "speedSelect": True,
        "startEndTime": True,
        "timeDisplay": True,
        "titleBar": True,
        "videoControls": True,
        "zoomSelect": True,
        "contentSidebar": True,
        "timeline": True,
        "controlBar": True,
        "addFilterBtn": True,
        "addLogoBtn": True,
        "inOutSlider": True,
        "timelineInOutSlider": False,
        "appSettingsBtn": True
    },
    "sets": []
}

# Fill JSON structure with grouped files
for number, group in file_groups.items():
    media_files = []
    media_order = []
    
    for file_path in group:
        file_name = os.path.basename(file_path)
        base_name = file_name.rsplit('.', 1)[0]
        hex_id = uuid.uuid4().hex  # Generate a unique hex ID for each file
        cleaned_path = os.path.abspath(file_path).replace('\\', '%5C').replace(':', '%3A')
        width, height = get_png_dimensions(file_path)
        
        # Example media entry
        media_entry = {
            "id": hex_id,
            "created": int(os.path.getctime(file_path) * 1000),
            "codec": "PNG",
            "bitrate": 0,
            "width": width,
            "height": height,
            "type": "image",
            "fps": 0,
            "duration": 0,
            "size": os.path.getsize(file_path),
            "modified": int(os.path.getmtime(file_path) * 1000),
            "hasAudio": False,
            "timestamps": [],
            "path": os.path.abspath(file_path).replace("/", "\\"),
            "name": file_name,
            "base": base_name,
            "originalBase": base_name,
            "extension": file_name.split('.')[-1],
            "format": "PNG",
            "x": 0,
            "y": 0,
            "z": 100,
            "startTime": 0,
            "thumbnails": [],
            "labelVisibility": {
                "codec": False,
                "bitrate": False,
                "dimensions": False,
                "format": False,
                "fps": False,
                "duration": False,
                "startTime": False
            },
            "muted": True,
            "visible": True,
            "shaderId": "",
            "shaderInputs": [],
            "shaderSettings": {},
            "shaderSource": "",
            "showShader": True,
            "src": f"icat://localhost/?src={cleaned_path}",
            "mediaOverlay": "",
            "frameImages": [],
            "showFrameImages": True,
            "infoTexts": [],
            "showInfoText": False
        }
        
        media_files.append(media_entry)
        media_order.append(hex_id)
    
    # Add the set entry to JSON structure
    set_id = str(uuid.uuid4().hex)
    json_structure["activeSet"] = set_id
    json_structure["sets"].append({
        "id": set_id,
        "created": 1724539610545,
        "label": f"Einstellen {len(json_structure['sets']) + 1}",
        "antiAlias": False,
        "endTime": 1e+29,
        "grid": 0,
        "layout": "split",
        "overlayOrder": [],
        "looping": True,
        "boomerang": False,
        "mediaOrder": media_order,
        "x": 2170.7728827197748,
        "y": 0,
        "z": 30.340576171875,
        "speed": 1,
        "splitposition": 0.5,
        "startTime": 0,
        "time": 0,
        "viewport": {
            "top": 93.17708587646484,
            "left": 0,
            "paneWidth": 2560,
            "paneHeight": 932.0625,
            "height": 932.0625,
            "width": 2560,
            "minZoom": 30.340576171875,
            "fitScale": 0.30340576171875,
            "fitWidth": 4096,
            "fitHeight": 3072,
            "fitPaneWidth": 4096,
            "fitPaneHeight": 3072,
            "contentWidth": 4096,
            "contentHeight": 3072
            },
        "gamma": 1,
        "exposure": 1,
        "media": media_files,
        "overlays": []
    })

    json_filename = os.path.join(output_dir, f"image_comparison_{number}.json")
    with open(json_filename, 'w') as json_file:
        json.dump(json_structure, json_file, indent=4)
    print(f"JSON-Datei für Gruppe {number} wurde geschrieben: {json_filename}")