refactor app.py https://chatgpt.com/share/67d33ee7-7ef4-8006-a2f2-dd8055c61552
Browse files
app.py
CHANGED
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@@ -2,27 +2,16 @@ import gradio as gr
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import paho.mqtt.client as mqtt
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import json
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import time
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import threading
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import os
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import
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from PIL import Image
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import io
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import
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import logging
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import sys
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import random
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import cv2
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from PIL import ImageDraw
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import requests
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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handlers=[logging.StreamHandler(sys.stdout), logging.FileHandler("app.log")],
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)
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logger = logging.getLogger("bambu-analysis")
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BAMBU_HOST = os.environ.get("BAMBU_HOST", "default_host")
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BAMBU_PORT = int(os.environ.get("BAMBU_PORT", 1883))
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BAMBU_USERNAME = os.environ.get("BAMBU_USERNAME", "default_user")
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@@ -34,615 +23,121 @@ RPI_PORT = int(os.environ.get("RPI_PORT", 1883))
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RPI_USERNAME = os.environ.get("RPI_USERNAME", "default_user")
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RPI_PASSWORD = os.environ.get("RPI_PASSWORD", "default_pass")
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f"BAMBU MQTT Configuration: HOST={BAMBU_HOST}, PORT={BAMBU_PORT}, USERNAME={BAMBU_USERNAME}, PWD={'*'*len(BAMBU_PASSWORD)}"
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)
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logger.info(
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f"RPI MQTT Configuration: HOST={RPI_HOST}, PORT={RPI_PORT}, USERNAME={RPI_USERNAME}, PWD={'*'*len(RPI_PASSWORD)}"
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)
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latest_data = {
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"bed_temperature": "N/A",
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"nozzle_temperature": "N/A",
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"status": "N/A",
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"update_time": "Waiting for data...",
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"image_url": "N/A",
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"progress": 0,
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"message": "",
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}
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def create_client(client_type):
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global bambu_client, rpi_client
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if client_type == "bambu":
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bambu_client = mqtt.Client()
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bambu_client.username_pw_set(BAMBU_USERNAME, BAMBU_PASSWORD)
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bambu_client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS)
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bambu_client.on_connect = on_connect
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bambu_client.on_message = bambu_on_message
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bambu_client.connect(BAMBU_HOST, BAMBU_PORT)
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bambu_client.loop_start()
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elif client_type == "rpi":
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rpi_client = mqtt.Client()
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rpi_client.username_pw_set(RPI_USERNAME, RPI_PASSWORD)
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rpi_client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS)
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rpi_client.on_connect = on_connect
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rpi_client.on_message = rpi_on_message
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rpi_client.connect(RPI_HOST, RPI_PORT)
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rpi_client.loop_start()
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def on_connect(client, userdata, flags, rc):
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logger.info(f"Connected with result code {rc}")
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def bambu_on_message(client, userdata, message):
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global latest_data
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data = json.loads(message.payload)
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latest_data["bed_temperature"] = data.get("bed_temperature", "N/A")
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latest_data["nozzle_temperature"] = data.get("nozzle_temperature", "N/A")
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latest_data["status"] = data.get("status", "N/A")
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latest_data["update_time"] = time.strftime(
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"%Y-%m-%d %H:%M:%S", time.localtime()
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)
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latest_data["image_url"] = data.get("image_url", "N/A")
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except Exception as e:
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logger.error(f"Error parsing MQTT message: {e}")
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def rpi_on_message(client, userdata,
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global latest_data
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try:
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payload = msg.payload.decode("utf-8")
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logger.info(f"Received message from RPI: {payload}")
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data = json.loads(payload)
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status = data.get("status", "Unknown")
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)
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logger.error(f"Error from RPI: {data['error']}")
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if status == "Ready":
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latest_data["progress"] = 0
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latest_data["message"] = "Printer ready"
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elif status == "Processing":
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latest_data["progress"] = 25
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latest_data["message"] = "Processing G-code..."
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except Exception as e:
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logger.error(f"Error processing message from RPI: {e}")
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try:
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result = json.loads(payload)
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if "status" in result:
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status = result["status"]
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latest_data["status"] = status
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if (
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"command" in result
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and result["command"] == "capture_image"
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and result.get("auto_triggered", False)
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):
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logger.info("receive capture command")
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threading.Thread(
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target=handle_auto_capture, args=(result,), daemon=True
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).start()
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except json.JSONDecodeError:
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logger.error(f"Invalid JSON in message: {payload}")
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def get_data(serial=DEFAULT_SERIAL):
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global bambu_client, response_topic
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if bambu_client is None:
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create_client("bambu")
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request_topic = f"bambu_a1_mini/request/{serial}"
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response_topic = f"bambu_a1_mini/response/{serial}"
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logger.info(f"Subscribing to {response_topic}")
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bambu_client.subscribe(response_topic)
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logger.info(f"Publishing request to {request_topic}")
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bambu_client.publish(request_topic, json.dumps("HI"))
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global latest_data
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latest_data["bed_temperature"] = "N/A"
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timeout = 10
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while latest_data["bed_temperature"] == "N/A" and timeout > 0:
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time.sleep(1)
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timeout -= 1
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return (
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latest_data["status"],
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latest_data["bed_temperature"],
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latest_data["nozzle_temperature"],
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latest_data["update_time"],
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)
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def send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed):
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global rpi_client
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serial = DEFAULT_SERIAL
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logger.info(
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f"Sending parameters to RPi for G-code generation: nozzle={nozzle_temp}, bed={bed_temp}, "
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f"speed={print_speed}, fan={fan_speed}"
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)
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try:
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params = {
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"nozzle_temp": nozzle_temp,
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"bed_temp": bed_temp,
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"print_speed": print_speed,
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"fan_speed": fan_speed,
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}
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request_topic = f"bambu_a1_mini/request/{serial}"
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if rpi_client:
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rpi_client.publish(
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request_topic,
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json.dumps({"command": "generate_gcode", "parameters": params}),
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)
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logger.info("Parameters sent successfully to RPi for G-code generation")
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global latest_data
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latest_data["status"] = "Sent"
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latest_data["update_time"] = time.strftime(
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"%Y-%m-%d %H:%M:%S", time.localtime()
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)
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return "Parameters sent successfully to RPi. Status: Sent"
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else:
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logger.warning("MQTT not connected, parameters not sent")
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return "MQTT not connected, parameters not sent"
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except Exception as e:
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logger.error(f"Error sending parameters: {e}")
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return f"Error sending parameters: {e}"
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latest_data["status"] = "Sending"
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latest_data["progress"] = 10
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latest_data["message"] = "Sending parameters to printer..."
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def get_image_base64(image):
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if image is None:
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logger.warning("No image to encode")
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return None
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try:
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if isinstance(image, np.ndarray):
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image = Image.fromarray(image)
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buffer = io.BytesIO()
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image.save(buffer, format="PNG")
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img_str = base64.b64encode(buffer.getvalue()).decode("utf-8")
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logger.info(f"Image encoded to base64 (length: {len(img_str)})")
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return img_str
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except Exception as e:
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logger.error(f"Error encoding image: {e}")
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return None
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def handle_auto_capture(message):
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try:
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logger.info(f"receive capture command: {message}")
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print_job = message.get("print_job", "unknown_job")
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timestamp = message.get("timestamp", time.strftime("%Y-%m-%d %H:%M:%S"))
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return None, f"capture failed: {str(e)}"
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def capture_image(url=None):
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global rpi_client, latest_data
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if rpi_client is None:
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create_client("rpi")
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serial = DEFAULT_SERIAL
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request_topic = f"bambu_a1_mini/request/{serial}"
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response_topic = f"bambu_a1_mini/response/{serial}"
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logger.info(f"Subscribing to {response_topic}")
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rpi_client.subscribe(response_topic)
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rpi_client.publish(
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request_topic,
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json.dumps(
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{
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"command": "capture_image",
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}
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),
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)
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latest_data["image_url"] = "N/A"
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timeout = 45
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while latest_data["image_url"] == "N/A" and timeout > 0:
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# print("timeout", timeout)
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time.sleep(1)
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timeout -= 1
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response = requests.get(
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if response.status_code == 200:
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return Image.open(io.BytesIO(response.content))
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raise Exception("url is 'N/A'")
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def update_print_status():
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global latest_data
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return (
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latest_data["status"],
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latest_data["nozzle_temperature"],
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latest_data["bed_temperature"],
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latest_data["update_time"],
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latest_data.get("progress", 0),
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latest_data.get("message", ""),
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)
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def health_check():
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status = {
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"app": "running",
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"time": time.strftime("%Y-%m-%d %H:%M:%S"),
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"bambu_mqtt_connected": bambu_client is not None,
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"rpi_mqtt_connected": rpi_client is not None,
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"latest_update": latest_data["update_time"],
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}
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logger.info(f"Health check: {status}")
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return status
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demo = gr.Blocks(title="Bambu A1 Mini Print Control")
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with demo:
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gr.Markdown("# Bambu A1 Mini Print Control")
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with gr.Row():
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refresh_btn = gr.Button("Refresh Status")
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with gr.Row():
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current_status = gr.Textbox(
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label="Printer Status", value="N/A", interactive=False
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)
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current_bed_temp = gr.Textbox(
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label="Current Bed Temperature", value="N/A", interactive=False
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)
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current_nozzle_temp = gr.Textbox(
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label="Current Nozzle Temperature", value="N/A", interactive=False
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)
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last_update = gr.Textbox(label="Last Update", value="N/A", interactive=False)
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with gr.Row():
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# Left column for image and capture button
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with gr.Column(scale=2):
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captured_image = gr.Image(label="Current Print Image", type="pil")
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capture_btn = gr.Button("Capture Image")
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# Right column for queue status and livestream
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with gr.Column(scale=1):
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gr.Markdown("### YouTube Livestream")
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iframe_html = """
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<div style="position: relative; width: 100%; padding-top: 56.25%;">
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<iframe
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style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"
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src="https://www.youtube.com/embed/ZzYOO6y6cJU"
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title="Bambu A1mini Livestream"
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frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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referrerpolicy="strict-origin-when-cross-origin"
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allowfullscreen>
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</iframe>
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</div>
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"""
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gr.HTML(iframe_html)
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with gr.Row():
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with gr.Column():
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nozzle_temp = gr.Slider(
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minimum=180,
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maximum=250,
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step=1,
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value=200,
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label="Nozzle Temperature (°C)",
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)
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bed_temp = gr.Slider(
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minimum=40, maximum=100, step=1, value=60, label="Bed Temperature (°C)"
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)
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print_speed = gr.Slider(
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minimum=20, maximum=150, step=1, value=60, label="Print Speed (mm/s)"
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)
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fan_speed = gr.Slider(
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minimum=0, maximum=100, step=1, value=100, label="Fan Speed (%)"
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)
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-
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outputs=[current_status, current_bed_temp, current_nozzle_temp, last_update],
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)
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-
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).then(fn=capture_image, outputs=[captured_image]).then(
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| 411 |
-
fn=lambda: gr.update(interactive=True), outputs=capture_btn
|
| 412 |
-
)
|
| 413 |
|
| 414 |
-
|
| 415 |
-
|
| 416 |
-
):
|
| 417 |
-
"""API endpoint to send print parameters to the Bambu printer via RPI MQTT"""
|
| 418 |
-
global is_first_load
|
| 419 |
-
|
| 420 |
-
# if the application just started, skip the actual operation
|
| 421 |
-
if is_first_load:
|
| 422 |
-
logger.info("First load detected, skipping automatic parameter sending")
|
| 423 |
-
is_first_load = False
|
| 424 |
-
return "Ready to send parameters. Click 'Submit' to send."
|
| 425 |
-
|
| 426 |
-
# the original function, only execute when the user explicitly requests it
|
| 427 |
-
return send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed)
|
| 428 |
|
|
|
|
| 429 |
send_params_btn.click(
|
| 430 |
-
fn=
|
| 431 |
-
inputs=[
|
| 432 |
-
outputs=
|
| 433 |
-
)
|
| 434 |
-
|
| 435 |
-
def api_get_data():
|
| 436 |
-
logger.info("API call: get_data")
|
| 437 |
-
return get_data()
|
| 438 |
-
|
| 439 |
-
def api_capture_frame(url=None):
|
| 440 |
-
logger.info(f"API call: capture_frame with URL: {url}")
|
| 441 |
-
|
| 442 |
-
try:
|
| 443 |
-
img = capture_image(url)
|
| 444 |
-
if img:
|
| 445 |
-
if img.mode == "RGBA":
|
| 446 |
-
img = img.convert("RGB")
|
| 447 |
-
|
| 448 |
-
buffered = io.BytesIO()
|
| 449 |
-
img.save(buffered, format="JPEG")
|
| 450 |
-
img_str = base64.b64encode(buffered.getvalue()).decode()
|
| 451 |
-
|
| 452 |
-
return {"success": True, "image": img_str}
|
| 453 |
-
else:
|
| 454 |
-
return {"success": False, "error": "Failed to capture image"}
|
| 455 |
-
except Exception as e:
|
| 456 |
-
logger.error(f"Error in capture_frame: {e}")
|
| 457 |
-
return {"success": False, "error": str(e)}
|
| 458 |
-
|
| 459 |
-
def api_lambda(
|
| 460 |
-
img_data=None,
|
| 461 |
-
param_1=200,
|
| 462 |
-
param_2=60,
|
| 463 |
-
param_3=60,
|
| 464 |
-
param_4=100,
|
| 465 |
-
):
|
| 466 |
-
logger.info(
|
| 467 |
-
f"API call: lambda with params: {param_1}, {param_2}, {param_3}, {param_4}"
|
| 468 |
-
)
|
| 469 |
-
try:
|
| 470 |
-
img = None
|
| 471 |
-
|
| 472 |
-
if (
|
| 473 |
-
img_data
|
| 474 |
-
and isinstance(img_data, str)
|
| 475 |
-
and (img_data.startswith("http://") or img_data.startswith("https://"))
|
| 476 |
-
):
|
| 477 |
-
logger.info(f"Lambda received image URL: {img_data}")
|
| 478 |
-
img = capture_image(img_data)
|
| 479 |
-
|
| 480 |
-
elif img_data and isinstance(img_data, str):
|
| 481 |
-
try:
|
| 482 |
-
logger.info("Lambda received base64 image data")
|
| 483 |
-
img_bytes = base64.b64decode(img_data)
|
| 484 |
-
img = Image.open(io.BytesIO(img_bytes))
|
| 485 |
-
except Exception as e:
|
| 486 |
-
logger.error(f"Failed to decode base64 image: {e}")
|
| 487 |
-
|
| 488 |
-
if img:
|
| 489 |
-
img_array = np.array(img)
|
| 490 |
-
|
| 491 |
-
quality_level = "low"
|
| 492 |
-
if 190 <= param_1 <= 210 and param_3 <= 50 and param_4 >= 80:
|
| 493 |
-
quality_level = "high"
|
| 494 |
-
elif 185 <= param_1 <= 215 and param_3 <= 70 and param_4 >= 60:
|
| 495 |
-
quality_level = "medium"
|
| 496 |
-
|
| 497 |
-
if quality_level == "high":
|
| 498 |
-
missing_rate = 0.02
|
| 499 |
-
excess_rate = 0.01
|
| 500 |
-
stringing_rate = 0.01
|
| 501 |
-
elif quality_level == "medium":
|
| 502 |
-
missing_rate = 0.05
|
| 503 |
-
excess_rate = 0.03
|
| 504 |
-
stringing_rate = 0.02
|
| 505 |
-
else: # low
|
| 506 |
-
missing_rate = 0.10
|
| 507 |
-
excess_rate = 0.07
|
| 508 |
-
stringing_rate = 0.05
|
| 509 |
-
|
| 510 |
-
uniformity_score = 1.0 - (missing_rate + excess_rate + stringing_rate)
|
| 511 |
-
|
| 512 |
-
print_quality_score = 1.0 - (
|
| 513 |
-
missing_rate * 2.0 + excess_rate * 1.5 + stringing_rate * 1.0
|
| 514 |
-
)
|
| 515 |
-
print_quality_score = max(0, min(1, print_quality_score))
|
| 516 |
-
|
| 517 |
-
print_speed_score = param_3 / 150.0
|
| 518 |
-
print_speed_score = max(0, min(1, print_speed_score))
|
| 519 |
-
|
| 520 |
-
material_efficiency_score = 1.0 - excess_rate * 3.0
|
| 521 |
-
material_efficiency_score = max(0, min(1, material_efficiency_score))
|
| 522 |
-
|
| 523 |
-
total_performance_score = (
|
| 524 |
-
0.5 * print_quality_score
|
| 525 |
-
+ 0.3 * print_speed_score
|
| 526 |
-
+ 0.2 * material_efficiency_score
|
| 527 |
-
)
|
| 528 |
-
|
| 529 |
-
img_draw = img.copy()
|
| 530 |
-
draw = ImageDraw.Draw(img_draw)
|
| 531 |
-
draw.text(
|
| 532 |
-
(10, 10), f"Quality: {quality_level.upper()}", fill=(255, 0, 0)
|
| 533 |
-
)
|
| 534 |
-
draw.text((10, 30), f"Missing: {missing_rate:.2f}", fill=(255, 0, 0))
|
| 535 |
-
draw.text((10, 50), f"Excess: {excess_rate:.2f}", fill=(255, 0, 0))
|
| 536 |
-
draw.text(
|
| 537 |
-
(10, 70), f"Stringing: {stringing_rate:.2f}", fill=(255, 0, 0)
|
| 538 |
-
)
|
| 539 |
-
|
| 540 |
-
result = {
|
| 541 |
-
"success": True,
|
| 542 |
-
"missing_rate": missing_rate,
|
| 543 |
-
"excess_rate": excess_rate,
|
| 544 |
-
"stringing_rate": stringing_rate,
|
| 545 |
-
"uniformity_score": uniformity_score,
|
| 546 |
-
"print_quality_score": print_quality_score,
|
| 547 |
-
"print_speed_score": print_speed_score,
|
| 548 |
-
"material_efficiency_score": material_efficiency_score,
|
| 549 |
-
"total_performance_score": total_performance_score,
|
| 550 |
-
}
|
| 551 |
-
|
| 552 |
-
if img_draw.mode == "RGBA":
|
| 553 |
-
img_draw = img_draw.convert("RGB")
|
| 554 |
-
|
| 555 |
-
buffered = io.BytesIO()
|
| 556 |
-
img_draw.save(buffered, format="JPEG")
|
| 557 |
-
img_str = base64.b64encode(buffered.getvalue()).decode()
|
| 558 |
-
result["image"] = img_str
|
| 559 |
-
|
| 560 |
-
return result
|
| 561 |
-
else:
|
| 562 |
-
return {"success": False, "error": "Failed to get image"}
|
| 563 |
-
except Exception as e:
|
| 564 |
-
logger.error(f"Error in lambda: {e}")
|
| 565 |
-
return {"error": str(e)}
|
| 566 |
-
|
| 567 |
-
|
| 568 |
-
api_json_output = gr.JSON()
|
| 569 |
-
api_text_output = gr.Textbox()
|
| 570 |
-
|
| 571 |
-
capture_frame_api = demo.load(
|
| 572 |
-
fn=api_capture_frame,
|
| 573 |
-
inputs=[gr.Text(label="Camera URL (Optional)")],
|
| 574 |
-
outputs=[gr.Image(label="Captured Frame"), gr.JSON()],
|
| 575 |
-
api_name="capture_frame"
|
| 576 |
-
)
|
| 577 |
-
|
| 578 |
-
lambda_api = demo.load(
|
| 579 |
-
fn=api_lambda,
|
| 580 |
-
inputs=[
|
| 581 |
-
gr.Image(label="Image Data"),
|
| 582 |
-
gr.Number(label="Nozzle Temperature", value=200),
|
| 583 |
-
gr.Number(label="Bed Temperature", value=60),
|
| 584 |
-
gr.Number(label="Print Speed", value=60),
|
| 585 |
-
gr.Number(label="Fan Speed", value=100),
|
| 586 |
-
],
|
| 587 |
-
outputs=[gr.Image(label="Visualization"), gr.JSON()],
|
| 588 |
-
api_name="lambda"
|
| 589 |
-
)
|
| 590 |
-
|
| 591 |
-
get_data_api = demo.load(
|
| 592 |
-
fn=api_get_data,
|
| 593 |
-
inputs=[],
|
| 594 |
-
outputs=gr.JSON(),
|
| 595 |
-
api_name="get_data"
|
| 596 |
-
)
|
| 597 |
-
|
| 598 |
-
send_params_api = demo.load(
|
| 599 |
-
fn=api_send_print_parameters,
|
| 600 |
-
inputs=[
|
| 601 |
-
gr.Number(label="Nozzle Temperature", value=200),
|
| 602 |
-
gr.Number(label="Bed Temperature", value=60),
|
| 603 |
-
gr.Number(label="Print Speed", value=60),
|
| 604 |
-
gr.Number(label="Fan Speed", value=100),
|
| 605 |
-
],
|
| 606 |
-
outputs=api_text_output,
|
| 607 |
-
api_name="send_print_parameters"
|
| 608 |
-
)
|
| 609 |
-
|
| 610 |
-
get_status_api = demo.load(
|
| 611 |
-
fn=update_print_status,
|
| 612 |
-
inputs=[],
|
| 613 |
-
outputs=[
|
| 614 |
-
gr.Textbox(label="Status"),
|
| 615 |
-
gr.Textbox(label="Nozzle Temperature"),
|
| 616 |
-
gr.Textbox(label="Bed Temperature"),
|
| 617 |
-
gr.Textbox(label="Update Time"),
|
| 618 |
-
gr.Number(label="Progress"),
|
| 619 |
-
gr.Textbox(label="Message"),
|
| 620 |
-
],
|
| 621 |
-
api_name="get_status"
|
| 622 |
-
)
|
| 623 |
-
|
| 624 |
-
health_check_api = demo.load(
|
| 625 |
-
fn=health_check,
|
| 626 |
-
inputs=[],
|
| 627 |
-
outputs=gr.JSON(),
|
| 628 |
-
api_name="health_check"
|
| 629 |
)
|
| 630 |
|
| 631 |
if __name__ == "__main__":
|
| 632 |
-
|
| 633 |
-
|
| 634 |
-
|
| 635 |
-
logger.info("Initializing Bambu MQTT client")
|
| 636 |
-
create_client("bambu")
|
| 637 |
-
except Exception as e:
|
| 638 |
-
logger.error(f"Failed to initialize Bambu MQTT: {e}")
|
| 639 |
-
|
| 640 |
-
try:
|
| 641 |
-
logger.info("Initializing RPI MQTT client")
|
| 642 |
-
create_client("rpi")
|
| 643 |
-
except Exception as e:
|
| 644 |
-
logger.error(f"Failed to initialize RPI MQTT: {e}")
|
| 645 |
-
|
| 646 |
-
demo.queue().launch(
|
| 647 |
-
show_error=True, share=False, server_name="0.0.0.0", server_port=7860
|
| 648 |
-
)
|
|
|
|
| 2 |
import paho.mqtt.client as mqtt
|
| 3 |
import json
|
| 4 |
import time
|
|
|
|
| 5 |
import os
|
| 6 |
+
import requests
|
| 7 |
+
import traceback
|
| 8 |
from PIL import Image
|
| 9 |
import io
|
| 10 |
+
import threading
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
+
print("Starting MQTT Print Control...")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
+
# Environment variables
|
| 15 |
BAMBU_HOST = os.environ.get("BAMBU_HOST", "default_host")
|
| 16 |
BAMBU_PORT = int(os.environ.get("BAMBU_PORT", 1883))
|
| 17 |
BAMBU_USERNAME = os.environ.get("BAMBU_USERNAME", "default_user")
|
|
|
|
| 23 |
RPI_USERNAME = os.environ.get("RPI_USERNAME", "default_user")
|
| 24 |
RPI_PASSWORD = os.environ.get("RPI_PASSWORD", "default_pass")
|
| 25 |
|
| 26 |
+
latest_data = {}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
|
| 29 |
+
# Centralized MQTT client setup
|
| 30 |
+
def setup_mqtt_client(host, port, username, password, on_message):
|
| 31 |
+
client = mqtt.Client()
|
| 32 |
+
client.username_pw_set(username, password)
|
| 33 |
+
client.on_message = on_message
|
| 34 |
+
client.connect(host, port)
|
| 35 |
+
client.loop_start()
|
| 36 |
+
return client
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
|
| 39 |
+
# Single callback responsibility
|
| 40 |
def bambu_on_message(client, userdata, message):
|
| 41 |
global latest_data
|
| 42 |
+
latest_data.update(json.loads(message.payload))
|
| 43 |
+
latest_data["update_time"] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
|
| 46 |
+
def rpi_on_message(client, userdata, message):
|
| 47 |
global latest_data
|
| 48 |
+
latest_data.update(json.loads(message.payload))
|
| 49 |
+
latest_data["update_time"] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
|
| 50 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
|
| 52 |
+
# Centralized error handling
|
| 53 |
+
def main_logic():
|
| 54 |
+
global bambu_client, rpi_client
|
| 55 |
+
try:
|
| 56 |
+
bambu_client = setup_mqtt_client(
|
| 57 |
+
BAMBU_HOST, BAMBU_PORT, BAMBU_USERNAME, BAMBU_PASSWORD, bambu_on_message
|
| 58 |
)
|
| 59 |
+
rpi_client = setup_mqtt_client(
|
| 60 |
+
RPI_HOST, RPI_PORT, RPI_USERNAME, RPI_PASSWORD, rpi_on_message
|
| 61 |
+
)
|
| 62 |
+
bambu_client.subscribe(f"bambu_a1_mini/response/{DEFAULT_SERIAL}")
|
| 63 |
+
rpi_client.subscribe(f"bambu_a1_mini/response/{DEFAULT_SERIAL}")
|
| 64 |
+
except Exception:
|
| 65 |
+
print("MQTT setup failed:")
|
| 66 |
+
traceback.print_exc()
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
| 67 |
|
| 68 |
|
| 69 |
+
# Sending print parameters functionality
|
| 70 |
def send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed):
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
try:
|
| 72 |
params = {
|
| 73 |
"nozzle_temp": nozzle_temp,
|
| 74 |
"bed_temp": bed_temp,
|
| 75 |
"print_speed": print_speed,
|
| 76 |
"fan_speed": fan_speed,
|
| 77 |
+
"command": "generate_gcode",
|
| 78 |
}
|
| 79 |
+
topic = f"bambu_a1_mini/request/{DEFAULT_SERIAL}"
|
| 80 |
+
rpi_client.publish(topic, json.dumps(params))
|
| 81 |
+
return "Parameters sent successfully."
|
| 82 |
+
except Exception:
|
| 83 |
+
print("Failed to send parameters:")
|
| 84 |
+
traceback.print_exc()
|
| 85 |
+
return "Failed to send parameters."
|
| 86 |
|
|
|
|
|
|
|
|
|
|
|
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|
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| 87 |
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| 88 |
+
# Simple Gradio interface
|
| 89 |
+
def get_status():
|
| 90 |
+
return (
|
| 91 |
+
latest_data.get("status", "N/A"),
|
| 92 |
+
latest_data.get("bed_temperature", "N/A"),
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| 93 |
+
latest_data.get("nozzle_temperature", "N/A"),
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| 94 |
+
latest_data.get("update_time", "Waiting for data..."),
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| 95 |
)
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| 96 |
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| 97 |
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| 98 |
+
# Image capture functionality
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| 99 |
+
def capture_image():
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| 100 |
+
try:
|
| 101 |
+
img_url = latest_data.get("image_url", None)
|
| 102 |
+
if img_url and img_url != "N/A":
|
| 103 |
+
response = requests.get(img_url, timeout=10)
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| 104 |
if response.status_code == 200:
|
| 105 |
return Image.open(io.BytesIO(response.content))
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| 106 |
+
return None
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| 107 |
+
except Exception:
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| 108 |
+
print("Image capture failed:")
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| 109 |
+
traceback.print_exc()
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| 110 |
+
return None
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| 111 |
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| 112 |
|
| 113 |
+
with gr.Blocks(title="Simplified Printer Control") as demo:
|
| 114 |
+
status = gr.Textbox(label="Status")
|
| 115 |
+
bed_temp = gr.Textbox(label="Bed Temperature")
|
| 116 |
+
nozzle_temp = gr.Textbox(label="Nozzle Temperature")
|
| 117 |
+
update_time = gr.Textbox(label="Last Update")
|
| 118 |
+
image_display = gr.Image(label="Captured Image", type="pil")
|
| 119 |
|
| 120 |
+
nozzle_input = gr.Slider(
|
| 121 |
+
label="Nozzle Temperature", minimum=180, maximum=250, value=200
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|
| 122 |
)
|
| 123 |
+
bed_input = gr.Slider(label="Bed Temperature", minimum=40, maximum=100, value=60)
|
| 124 |
+
speed_input = gr.Slider(label="Print Speed", minimum=20, maximum=150, value=60)
|
| 125 |
+
fan_input = gr.Slider(label="Fan Speed", minimum=0, maximum=100, value=100)
|
| 126 |
|
| 127 |
+
refresh = gr.Button("Refresh")
|
| 128 |
+
refresh.click(fn=get_status, outputs=[status, bed_temp, nozzle_temp, update_time])
|
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|
| 129 |
|
| 130 |
+
capture_btn = gr.Button("Capture Image")
|
| 131 |
+
capture_btn.click(fn=capture_image, outputs=image_display)
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|
| 132 |
|
| 133 |
+
send_params_btn = gr.Button("Send Parameters")
|
| 134 |
send_params_btn.click(
|
| 135 |
+
fn=send_print_parameters,
|
| 136 |
+
inputs=[nozzle_input, bed_input, speed_input, fan_input],
|
| 137 |
+
outputs=status,
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|
| 138 |
)
|
| 139 |
|
| 140 |
if __name__ == "__main__":
|
| 141 |
+
print("App initializing...")
|
| 142 |
+
threading.Thread(target=main_logic, daemon=True).start()
|
| 143 |
+
demo.launch()
|
|
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