scripts/generate-icat-comparison-projects.py

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

def get_jpeg_dimensions(file_path):
    """
    Returns the (width, height) of a JPG image by reading the file's metadata.
    """
    with open(file_path, 'rb') as f:
        f.seek(0)
        data = f.read(24)
        
        # Check if file is JPEG
        if data[0:2] == b'\xff\xd8':  # JPEG files start with 0xFFD8
            while True:
                f.seek(2, 1)  # Skip marker
                marker = f.read(2)
                if marker[0] == 0xFF and marker[1] == 0xC0:  # Start of Frame marker
                    f.seek(3, 1)  # Skip precision byte
                    height = int.from_bytes(f.read(2), 'big')
                    width = int.from_bytes(f.read(2), 'big')
                    return width, height
                else:
                    size = int.from_bytes(f.read(2), 'big')
                    f.seek(size - 2, 1)  # Skip to the next block
        else:
            raise ValueError("Not a JPEG file")
        
def get_image_dimensions(file_path):
    extension = os.path.splitext(file_path)[-1].lower()
    
    if extension == '.jpg' or extension == '.jpeg':
        return get_jpeg_dimensions(file_path)
    elif extension == '.png':
        return get_png_dimensions(file_path)
    else:
        raise ValueError("Unsupported file format")



# 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_dirs = [os.path.join(script_dir, '..', 'source'), os.path.join(script_dir, '..', 'result')]

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

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


print(f"Searching for images in {base_dirs}.")

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 dir in base_dirs:
    for root, dirs, files in os.walk(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))

# Fill JSON structure with grouped files
for number, group in file_groups.items():
    media_files = []
    media_order = []

    # 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": []
    }
    
    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_image_dimensions(file_path)
        fileExt = file_name.split('.')[-1]

        if "source" in file_path.lower():
            zoomFactor = 400
        else:
            zoomFactor = 100
        
        # Example media entry
        media_entry = {
            "id": hex_id,
            "created": int(os.path.getctime(file_path) * 1000),
            "codec": fileExt.upper(),
            "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": fileExt,
            "format": fileExt.upper(),
            "x": 0,
            "y": 0,
            "z": zoomFactor,
            "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}")