122 lines
3.0 KiB
Python
122 lines
3.0 KiB
Python
import random
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from PIL import Image, ImageDraw
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import time
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import sys
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import numpy as np
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from stl import mesh
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import json
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time.sleep(3)
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# arg format is like this: args ['test1.py', '{"kiste":{"value":"321"},"labelformat":{"value":"123123"},"print_machine_selection":{"data":{"displayName":"Brother Workplace","ip":"127.0.0.1"},"value":"Brother Workplace"}}', '--undo'] undo is optional
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json_object = json.loads(sys.argv[1])
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labelformat = json_object["labelformat"]
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kiste = json_object["kiste"]
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print("args", sys.argv)
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if len(sys.argv) >= 5:
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undo = sys.argv[4]
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if undo == "--undo":
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print("finish undo")
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sys.exit(0)
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print("hello this is test1")
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if labelformat is None or kiste is None:
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sys.exit(100)
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print("hello friend", labelformat, kiste)
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fp = open("customers.txt", "w")
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fp.write("first line hey customer")
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fp.close()
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# Bildgröße und Pixelgröße festlegen
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width = 100
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height = 100
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line_thickness = 5
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max_lines = 5
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# Das Bildgröße anpassen
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image_width = width * line_thickness
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image_height = height * line_thickness
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# Hintergrundfarbe festlegen
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background_color = (255, 255, 255) # Weiß
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for i in range(10):
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# Ein neues Bild erstellen
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image = Image.new("RGB", (image_width, image_height), background_color)
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# Eine Zeichenfläche für das Bild erstellen
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draw = ImageDraw.Draw(image)
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# Zufällige Linien zeichnen
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for _ in range(max_lines):
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start_x = random.randint(0, image_width)
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start_y = random.randint(0, image_height)
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end_x = random.randint(0, image_width)
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end_y = random.randint(0, image_height)
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color = (random.randint(0, 255), random.randint(
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0, 255), random.randint(0, 255))
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draw.line([(start_x, start_y), (end_x, end_y)],
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fill=color, width=line_thickness)
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# Bild als Datei speichern
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image.save("generiertes_bild"+str(i)+".jpg")
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# Abmessungen des rechteckigen Modells
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width = 196
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height = 196
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depth = 26
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# Eckpunkte des Modells erstellen
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vertices = np.array([
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[0, 0, 0],
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[width, 0, 0],
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[width, height, 0],
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[0, height, 0],
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[0, 0, depth],
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[width, 0, depth],
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[width, height, depth],
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[0, height, depth]
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])
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# Flächen des Modells definieren
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faces = np.array([
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[0, 1, 2],
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[0, 2, 3],
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[0, 1, 5],
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[0, 4, 5],
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[0, 3, 7],
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[0, 4, 7],
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[1, 2, 6],
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[1, 5, 6],
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[2, 3, 7],
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[2, 6, 7],
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[4, 5, 6],
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[4, 6, 7]
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])
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# Erstellen des Modells mit den Eckpunkten und Flächen
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rectangular_mesh = mesh.Mesh(np.zeros(faces.shape[0], dtype=mesh.Mesh.dtype))
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for i, face in enumerate(faces):
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for j, vertex_id in enumerate(face):
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rectangular_mesh.vectors[i][j] = vertices[vertex_id]
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# Exportieren des Modells als .stl-Datei
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rectangular_mesh.save('rectangular_model.stl')
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print("Das 3D-Modell wurde erfolgreich als 'rectangular_model.stl' exportiert.")
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"""
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try:
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x = 5 / 0 # Hier wird ein Fehler ausgelöst
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except ZeroDivisionError:
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print("Ein Fehler ist aufgetreten: Division durch Null.")
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raise SystemExit(140) """
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