#!/usr/bin/env python3 # # Orca Slicer as of v18beta2 remove headers before jpg and convert PNG to JPG. # # This script has been developed for E3S1PROFORKBYTT by Thomas Toka. # # ------------------------------------------------------------------------------ import sys import math import base64 from PIL import Image from io import BytesIO import re def main(source_file): # Read the entire G-code file into memory with open(source_file, "r", encoding='utf-8') as f: lines = f.readlines() # Extract additional information filament_used_m, filament_used_g, filament_diameter, filament_density, layer_height, layers = "0", "0", "0", "0", "0", "0" for line in lines: if line.startswith("; filament used [mm] ="): filament_used_mm_values = [float(value.strip()) for value in line.split("=")[1].strip().split(',')] filament_used_m = round(sum(filament_used_mm_values) / 1000, 2) # Convert mm to meters if filament_used_m > 0: filament_used_m = math.ceil(filament_used_m) else: filament_used_m = 0 elif line.startswith("; filament used [g] ="): filament_used_g_values = [float(value.strip()) for value in line.split("=")[1].strip().split(',')] filament_used_g = round(sum(filament_used_g_values), 2) if filament_used_g > 0: filament_used_g = math.ceil(filament_used_g) else: filament_used_g = 0 elif line.startswith("; filament_diameter ="): filament_diameter_values = [float(value.strip()) for value in line.split("=")[1].strip().split(',')] filament_diameter = round(sum(filament_diameter_values) / len(filament_diameter_values), 2) filament_diameter = "{:.2f}".format(filament_diameter) elif line.startswith("; filament_density ="): filament_density_values = [float(value.strip()) for value in line.split("=")[1].strip().split(',')] filament_density = round(sum(filament_density_values) / len(filament_density_values), 2) # Calculate the median filament_density = "{:.2f}".format(filament_density) elif line.startswith("; layer_height ="): layer_height_values = [float(value.strip()) for value in line.split("=")[1].strip().split(',')] layer_height = round(sum(layer_height_values) / len(layer_height_values), 2) # Calculate the median layer_height = "{:.2f}".format(layer_height) elif line.startswith("; total layers count ="): layers = line.split("=")[1].strip() layers = int(layers) filament_used_m_per_layer = filament_used_m / max(layers, 1) # Avoid division by zero remaining_filament_m = filament_used_m filament_used_g_per_layer = filament_used_g / max(layers, 1) # Avoid division by zero remaining_filament_g = filament_used_g m117_added = 0 # Counter for added M117 commands # Convert the thumbnail from PNG to JPEG thumbnail_start = None for i, line in enumerate(lines): if '; thumbnail begin' in line: thumbnail_start = i break if thumbnail_start is not None: # Find the thumbnail end line thumbnail_end = next((i for i, line in enumerate(lines[thumbnail_start:], start=thumbnail_start) if '; thumbnail end' in line), None) if thumbnail_end is not None: # Extract and decode the PNG data original_png_data = "".join(lines[thumbnail_start + 1:thumbnail_end]).replace("; ", "") png_data_bytes = base64.b64decode(original_png_data) image = Image.open(BytesIO(png_data_bytes)) image = image.convert("RGB") # Encode the image as JPEG buffer = BytesIO() image.save(buffer, format="JPEG") image_jpg_data = buffer.getvalue() # Base64 encode the JPEG data image_jpg_base64 = base64.b64encode(image_jpg_data).decode('utf-8') # Split the base64 string into formatted lines max_line_length = 79 - len("; ") injected_jpg_data = ["; " + image_jpg_base64[i:i + max_line_length] for i in range(0, len(image_jpg_base64), max_line_length)] # Remove everything before the '; thumbnail_JPG begin' line lines = lines[thumbnail_start:] # Replace the old PNG lines with the new JPEG lines lines[1:thumbnail_end - thumbnail_start] = [line + "\n" for line in injected_jpg_data] # Update start and end line numbers start_line_number = 1 # The line immediately after '; thumbnail_JPG begin' end_line_number = start_line_number + len(injected_jpg_data) + 1 # Update the '; thumbnail_JPG begin' line lines[0] = f'; thumbnail_JPG begin 250x250 {len(image_jpg_data)} {start_line_number} {end_line_number} {filament_used_m} {filament_used_g} {layer_height} {filament_diameter} {filament_density} {layers}\n' # Find the ';LAYER_CHANGE' line and add 'M117' after the next 'G1 Z' line with the corresponding 'Z' value layer_number = 0 layer_change_found = False for i in range(len(lines)): if lines[i].strip() == ";LAYER_CHANGE": layer_number += 1 layer_change_found = True elif layer_change_found: match = re.search(r";Z:([\d.]+)", lines[i]) if match: z_value = match.group(1) # Extract the Z value next_g1_z_index = i + 1 while next_g1_z_index < len(lines): if float(z_value) >= 1: g1_z_regex = fr"G1 Z{z_value}(?=\s|$)" else: # Adjust regex for Z values less than 1 simplified_z_value = z_value.lstrip('0').rstrip('0').rstrip('.') if '.' in z_value and not simplified_z_value.startswith('.'): simplified_z_value = '.' + simplified_z_value g1_z_regex = fr"G1 Z{simplified_z_value}(?=\s|$)" if re.search(g1_z_regex, lines[next_g1_z_index]): if layer_number == 1: m117_line = "M117 L1 M{} G{} Z{} Q{}".format(math.ceil(remaining_filament_m), math.ceil(remaining_filament_g), layers, layer_height) else: m117_line = "M117 L{} M{} G{}".format(layer_number, math.ceil(remaining_filament_m), math.ceil(remaining_filament_g)) lines.insert(next_g1_z_index + 1, m117_line + '\n') remaining_filament_m -= filament_used_m_per_layer remaining_filament_g -= filament_used_g_per_layer m117_added += 1 break next_g1_z_index += 1 # Add M117 for the very first layer if m117_added == 0: m117_line = "M117 L1 M{} G{} Z{} Q{}".format(math.ceil(remaining_filament_m), math.ceil(remaining_filament_g), layers, layer_height) lines.insert(0, m117_line + '\n') # Write the modified content back to the original file with open(source_file, "w", encoding='utf-8') as f: f.writelines(lines) print(f"Added {m117_added + 1} M117 commands.") if __name__ == "__main__": if len(sys.argv) < 2: print("Usage: python3 script.py ") sys.exit(1)