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