camera-image-capture
#2
by
j-woo
- opened
app.py
CHANGED
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@@ -18,57 +18,64 @@ import requests
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logging.basicConfig(
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level=logging.INFO,
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format=
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handlers=[
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logging.StreamHandler(sys.stdout),
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logging.FileHandler('app.log')
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]
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)
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logger = logging.getLogger("bambu-analysis")
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DEFAULT_SERIAL = os.environ.get("DEFAULT_SERIAL", "default_serial")
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if os.environ.get("port"):
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PORT = int(os.environ.get("port"))
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if os.environ.get("username"):
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USERNAME = os.environ.get("username")
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if os.environ.get("password"):
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PASSWORD = os.environ.get("password")
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logger.info(
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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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}
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response_topic = None # Will be set dynamically
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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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global latest_data
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logger.info("Received message")
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try:
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@@ -76,57 +83,76 @@ def on_message(client, userdata, message):
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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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except Exception as e:
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logger.error(f"Error parsing MQTT message: {e}")
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def get_data(serial=DEFAULT_SERIAL):
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global
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if
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create_client(
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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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logger.info(f"Publishing request to {request_topic}")
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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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serial = DEFAULT_SERIAL
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logger.info(
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try:
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params = {
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}
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request_topic = f"bambu_a1_mini/request/{serial}"
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if
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logger.info("Parameters sent successfully")
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return "Parameters sent successfully"
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else:
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@@ -136,55 +162,87 @@ def send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed):
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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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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(
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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 get_test_image(image_name=None):
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import os
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import random
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test_dir = os.path.join(os.path.dirname(__file__), "test_images")
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if not os.path.exists(test_dir):
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logger.error(f"Test images directory not found: {test_dir}")
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return None
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image_files = [
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if not image_files:
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logger.error("No test images found")
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return None
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if image_name and image_name in image_files:
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image_path = os.path.join(test_dir, image_name)
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else:
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image_path = os.path.join(test_dir, random.choice(image_files))
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logger.info(f"Using test image: {image_path}")
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try:
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return Image.open(image_path)
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except Exception as e:
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logger.error(f"Failed to open test image: {e}")
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return None
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def capture_image(url=None, use_test_image=False, test_image_name=None):
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if use_test_image:
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logger.info("Using test image instead of URL")
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@@ -193,9 +251,8 @@ def capture_image(url=None, use_test_image=False, test_image_name=None):
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return test_img
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else:
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logger.warning("Failed to get specified test image, trying URL")
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if url:
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try:
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logger.info(f"Capturing image from URL: {url}")
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response = requests.get(url, timeout=10)
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@@ -205,32 +262,41 @@ def capture_image(url=None, use_test_image=False, test_image_name=None):
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logger.error(f"Failed to get image from URL: {response.status_code}")
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except Exception as e:
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logger.error(f"Error capturing image from URL: {e}")
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logger.info("URL capture failed or not provided, using random test image")
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return get_test_image()
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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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"
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"
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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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last_update = gr.Textbox(label="Last Update", value="N/A", interactive=False)
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with gr.Row():
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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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allowfullscreen>
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</iframe>
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</div>
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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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send_params_btn = gr.Button("Send Print Parameters")
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refresh_btn.click(
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fn=get_data,
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outputs=[current_status, current_bed_temp, current_nozzle_temp, last_update]
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)
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capture_btn.click(
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fn=
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)
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send_params_btn.click(
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fn=send_print_parameters,
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inputs=[nozzle_temp, bed_temp, print_speed, fan_speed],
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outputs=[current_status]
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)
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def api_get_data():
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logger.info("API call: get_data")
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return get_data()
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def api_capture_frame(url=None, use_test_image=False, test_image_name=None):
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logger.info(
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try:
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img = capture_image(url, use_test_image, test_image_name)
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if img:
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if img.mode ==
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img = img.convert(
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buffered = io.BytesIO()
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img.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue()).decode()
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return {
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"success": True,
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"image": img_str
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}
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else:
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return {
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"success": False,
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"error": "Failed to capture image"
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}
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except Exception as e:
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logger.error(f"Error in capture_frame: {e}")
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return {
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try:
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img = None
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if use_test_image:
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logger.info(f"Lambda using test image: {test_image_name}")
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img = get_test_image(test_image_name)
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elif
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logger.info(f"Lambda received image URL: {img_data}")
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img = capture_image(img_data)
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elif img_data and isinstance(img_data, str):
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try:
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logger.info("Lambda received base64 image data")
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img = Image.open(io.BytesIO(img_bytes))
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except Exception as e:
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logger.error(f"Failed to decode base64 image: {e}")
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if img is None:
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logger.info("No valid image data received, using default test image")
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img = get_test_image()
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if img:
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img_array = np.array(img)
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quality_level =
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if 190 <= param_1 <= 210 and param_3 <= 50 and param_4 >= 80:
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quality_level =
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elif 185 <= param_1 <= 215 and param_3 <= 70 and param_4 >= 60:
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quality_level =
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if quality_level ==
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missing_rate = 0.02
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excess_rate = 0.01
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stringing_rate = 0.01
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elif quality_level ==
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missing_rate = 0.05
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excess_rate = 0.03
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stringing_rate = 0.02
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missing_rate = 0.10
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excess_rate = 0.07
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stringing_rate = 0.05
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uniformity_score = 1.0 - (missing_rate + excess_rate + stringing_rate)
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print_quality_score = 1.0 - (
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print_quality_score = max(0, min(1, print_quality_score))
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print_speed_score = param_3 / 150.0
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print_speed_score = max(0, min(1, print_speed_score))
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material_efficiency_score = 1.0 - excess_rate * 3.0
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material_efficiency_score = max(0, min(1, material_efficiency_score))
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total_performance_score = (
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0.5 * print_quality_score
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0.3 * print_speed_score
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0.2 * material_efficiency_score
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)
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img_draw = img.copy()
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draw = ImageDraw.Draw(img_draw)
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draw.text(
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draw.text((10, 30), f"Missing: {missing_rate:.2f}", fill=(255, 0, 0))
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draw.text((10, 50), f"Excess: {excess_rate:.2f}", fill=(255, 0, 0))
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draw.text(
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result = {
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"success": True,
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"missing_rate": missing_rate,
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"print_quality_score": print_quality_score,
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"print_speed_score": print_speed_score,
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"material_efficiency_score": material_efficiency_score,
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"total_performance_score": total_performance_score
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}
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if img_draw.mode ==
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img_draw = img_draw.convert(
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buffered = io.BytesIO()
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img_draw.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue()).decode()
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result["image"] = img_str
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return result
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else:
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return {
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"success": False,
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"error": "Failed to get image"
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}
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except Exception as e:
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logger.error(f"Error in lambda: {e}")
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return {
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logger.info(
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return send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed)
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api_json_output = gr.JSON()
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api_text_output = gr.Textbox()
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capture_frame_api = demo.load(
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fn=api_capture_frame,
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inputs=[
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gr.Textbox(label="Image URL"),
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gr.Checkbox(label="Use Test Image", value=False),
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gr.Textbox(label="Test Image Name", value="")
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],
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outputs=api_json_output,
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api_name="capture_frame"
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)
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|
| 441 |
lambda_api = demo.load(
|
| 442 |
fn=api_lambda,
|
| 443 |
inputs=[
|
|
@@ -447,43 +536,38 @@ with demo:
|
|
| 447 |
gr.Number(label="Print Speed", value=60),
|
| 448 |
gr.Number(label="Fan Speed", value=100),
|
| 449 |
gr.Checkbox(label="Use Test Image", value=False),
|
| 450 |
-
gr.Textbox(label="Test Image Name", value="")
|
| 451 |
],
|
| 452 |
-
outputs=api_json_output,
|
| 453 |
-
api_name="lambda"
|
| 454 |
)
|
| 455 |
-
|
| 456 |
get_data_api = demo.load(
|
| 457 |
-
fn=api_get_data,
|
| 458 |
-
inputs=None,
|
| 459 |
-
outputs=api_json_output,
|
| 460 |
-
api_name="get_data"
|
| 461 |
)
|
| 462 |
-
|
| 463 |
send_params_api = demo.load(
|
| 464 |
fn=api_send_print_parameters,
|
| 465 |
inputs=[
|
| 466 |
gr.Number(label="Nozzle Temperature", value=200),
|
| 467 |
gr.Number(label="Bed Temperature", value=60),
|
| 468 |
gr.Number(label="Print Speed", value=60),
|
| 469 |
-
gr.Number(label="Fan Speed", value=100)
|
| 470 |
],
|
| 471 |
-
outputs=api_text_output,
|
| 472 |
-
api_name="send_print_parameters"
|
| 473 |
)
|
| 474 |
|
| 475 |
if __name__ == "__main__":
|
| 476 |
logger.info("Starting Bambu A1 Mini Print Control application")
|
| 477 |
-
|
| 478 |
try:
|
| 479 |
logger.info("Initializing MQTT client")
|
| 480 |
-
create_client(
|
|
|
|
| 481 |
except Exception as e:
|
| 482 |
logger.error(f"Failed to initialize MQTT: {e}")
|
| 483 |
-
|
| 484 |
demo.queue().launch(
|
| 485 |
-
show_error=True,
|
| 486 |
-
share=False,
|
| 487 |
-
server_name="0.0.0.0",
|
| 488 |
-
server_port=7860
|
| 489 |
)
|
|
|
|
| 18 |
|
| 19 |
logging.basicConfig(
|
| 20 |
level=logging.INFO,
|
| 21 |
+
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
|
| 22 |
+
handlers=[logging.StreamHandler(sys.stdout), logging.FileHandler("app.log")],
|
|
|
|
|
|
|
|
|
|
| 23 |
)
|
| 24 |
logger = logging.getLogger("bambu-analysis")
|
| 25 |
|
| 26 |
+
BAMBU_HOST = os.environ.get("BAMBU_HOST", "default_host")
|
| 27 |
+
BAMBU_PORT = int(os.environ.get("BAMBU_PORT", 1883))
|
| 28 |
+
BAMBU_USERNAME = os.environ.get("BAMBU_USERNAME", "default_user")
|
| 29 |
+
BAMBU_PASSWORD = os.environ.get("BAMBU_PASSWORD", "default_pass")
|
| 30 |
DEFAULT_SERIAL = os.environ.get("DEFAULT_SERIAL", "default_serial")
|
| 31 |
|
| 32 |
+
RPI_HOST = os.environ.get("RPI_HOST", "default_host")
|
| 33 |
+
RPI_PORT = int(os.environ.get("RPI_PORT", 1883))
|
| 34 |
+
RPI_USERNAME = os.environ.get("RPI_USERNAME", "default_user")
|
| 35 |
+
RPI_PASSWORD = os.environ.get("RPI_PASSWORD", "default_pass")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
|
| 37 |
+
logger.info(
|
| 38 |
+
f"MQTT Configuration: HOST={BAMBU_HOST}, PORT={BAMBU_PORT}, USERNAME={BAMBU_USERNAME}"
|
| 39 |
+
)
|
| 40 |
|
| 41 |
latest_data = {
|
| 42 |
"bed_temperature": "N/A",
|
| 43 |
"nozzle_temperature": "N/A",
|
| 44 |
"status": "N/A",
|
| 45 |
"update_time": "Waiting for data...",
|
| 46 |
+
"image_url": "N/A",
|
| 47 |
}
|
| 48 |
|
| 49 |
+
bambu_client = None
|
| 50 |
+
rpi_client = None
|
| 51 |
response_topic = None # Will be set dynamically
|
| 52 |
|
| 53 |
+
|
| 54 |
+
def create_client(client_type, host, port, username, password):
|
| 55 |
+
global bambu_client, rpi_client
|
| 56 |
+
if client_type == "bambu":
|
| 57 |
+
bambu_client = mqtt.Client()
|
| 58 |
+
bambu_client.username_pw_set(username, password)
|
| 59 |
+
bambu_client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS)
|
| 60 |
+
bambu_client.on_connect = on_connect
|
| 61 |
+
bambu_client.on_message = bambu_on_message
|
| 62 |
+
bambu_client.connect(host, port)
|
| 63 |
+
bambu_client.loop_start()
|
| 64 |
+
elif client_type == "rpi":
|
| 65 |
+
rpi_client = mqtt.Client()
|
| 66 |
+
rpi_client.username_pw_set(username, password)
|
| 67 |
+
rpi_client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS)
|
| 68 |
+
rpi_client.on_connect = on_connect
|
| 69 |
+
rpi_client.on_message = rpi_on_message
|
| 70 |
+
rpi_client.connect(host, port)
|
| 71 |
+
rpi_client.loop_start()
|
| 72 |
+
|
| 73 |
|
| 74 |
def on_connect(client, userdata, flags, rc):
|
| 75 |
logger.info(f"Connected with result code {rc}")
|
| 76 |
|
| 77 |
+
|
| 78 |
+
def bambu_on_message(client, userdata, message):
|
| 79 |
global latest_data
|
| 80 |
logger.info("Received message")
|
| 81 |
try:
|
|
|
|
| 83 |
latest_data["bed_temperature"] = data.get("bed_temperature", "N/A")
|
| 84 |
latest_data["nozzle_temperature"] = data.get("nozzle_temperature", "N/A")
|
| 85 |
latest_data["status"] = data.get("status", "N/A")
|
| 86 |
+
latest_data["update_time"] = time.strftime(
|
| 87 |
+
"%Y-%m-%d %H:%M:%S", time.localtime()
|
| 88 |
+
)
|
| 89 |
+
latest_data["image_url"] = data.get("image_url", "N/A")
|
| 90 |
+
except Exception as e:
|
| 91 |
+
logger.error(f"Error parsing MQTT message: {e}")
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
def rpi_on_message(client, userdata, message):
|
| 95 |
+
global latest_data
|
| 96 |
+
logger.info("Received message")
|
| 97 |
+
try:
|
| 98 |
+
data = json.loads(message.payload)
|
| 99 |
+
latest_data["image_url"] = data.get("image_url", "N/A")
|
| 100 |
except Exception as e:
|
| 101 |
logger.error(f"Error parsing MQTT message: {e}")
|
| 102 |
|
| 103 |
+
|
| 104 |
def get_data(serial=DEFAULT_SERIAL):
|
| 105 |
+
global bambu_client, response_topic
|
| 106 |
|
| 107 |
+
if bambu_client is None:
|
| 108 |
+
create_client("bambu", BAMBU_HOST, BAMBU_PORT, BAMBU_USERNAME, BAMBU_PASSWORD)
|
| 109 |
|
| 110 |
request_topic = f"bambu_a1_mini/request/{serial}"
|
| 111 |
response_topic = f"bambu_a1_mini/response/{serial}"
|
| 112 |
+
|
| 113 |
logger.info(f"Subscribing to {response_topic}")
|
| 114 |
+
bambu_client.subscribe(response_topic)
|
| 115 |
+
|
| 116 |
logger.info(f"Publishing request to {request_topic}")
|
| 117 |
+
bambu_client.publish(request_topic, json.dumps("HI"))
|
| 118 |
+
|
| 119 |
global latest_data
|
| 120 |
latest_data["bed_temperature"] = "N/A"
|
| 121 |
timeout = 10
|
| 122 |
while latest_data["bed_temperature"] == "N/A" and timeout > 0:
|
| 123 |
time.sleep(1)
|
| 124 |
timeout -= 1
|
| 125 |
+
|
| 126 |
return (
|
| 127 |
latest_data["status"],
|
| 128 |
latest_data["bed_temperature"],
|
| 129 |
latest_data["nozzle_temperature"],
|
| 130 |
+
latest_data["update_time"],
|
| 131 |
)
|
| 132 |
|
| 133 |
+
|
| 134 |
def send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed):
|
| 135 |
+
global bambu_client
|
| 136 |
+
|
| 137 |
serial = DEFAULT_SERIAL
|
| 138 |
+
logger.info(
|
| 139 |
+
f"Sending parameters to {serial}: nozzle={nozzle_temp}, bed={bed_temp}, speed={print_speed}, fan={fan_speed}"
|
| 140 |
+
)
|
| 141 |
try:
|
| 142 |
params = {
|
| 143 |
+
"nozzle_temp": nozzle_temp,
|
| 144 |
+
"bed_temp": bed_temp,
|
| 145 |
+
"print_speed": print_speed,
|
| 146 |
+
"fan_speed": fan_speed,
|
| 147 |
}
|
| 148 |
+
|
| 149 |
request_topic = f"bambu_a1_mini/request/{serial}"
|
| 150 |
+
|
| 151 |
+
if bambu_client:
|
| 152 |
+
bambu_client.publish(
|
| 153 |
+
request_topic,
|
| 154 |
+
json.dumps({"command": "set_parameters", "parameters": params}),
|
| 155 |
+
)
|
| 156 |
logger.info("Parameters sent successfully")
|
| 157 |
return "Parameters sent successfully"
|
| 158 |
else:
|
|
|
|
| 162 |
logger.error(f"Error sending parameters: {e}")
|
| 163 |
return f"Error sending parameters: {e}"
|
| 164 |
|
| 165 |
+
|
| 166 |
def get_image_base64(image):
|
| 167 |
if image is None:
|
| 168 |
logger.warning("No image to encode")
|
| 169 |
return None
|
| 170 |
+
|
| 171 |
try:
|
| 172 |
if isinstance(image, np.ndarray):
|
| 173 |
image = Image.fromarray(image)
|
| 174 |
+
|
| 175 |
buffer = io.BytesIO()
|
| 176 |
image.save(buffer, format="PNG")
|
| 177 |
+
img_str = base64.b64encode(buffer.getvalue()).decode("utf-8")
|
| 178 |
logger.info(f"Image encoded to base64 (length: {len(img_str)})")
|
| 179 |
return img_str
|
| 180 |
except Exception as e:
|
| 181 |
logger.error(f"Error encoding image: {e}")
|
| 182 |
return None
|
| 183 |
|
| 184 |
+
|
| 185 |
def get_test_image(image_name=None):
|
|
|
|
|
|
|
|
|
|
| 186 |
test_dir = os.path.join(os.path.dirname(__file__), "test_images")
|
| 187 |
+
|
| 188 |
if not os.path.exists(test_dir):
|
| 189 |
logger.error(f"Test images directory not found: {test_dir}")
|
| 190 |
return None
|
| 191 |
+
|
| 192 |
+
image_files = [
|
| 193 |
+
f
|
| 194 |
+
for f in os.listdir(test_dir)
|
| 195 |
+
if f.lower().endswith((".png", ".jpg", ".jpeg", ".bmp"))
|
| 196 |
+
]
|
| 197 |
+
|
| 198 |
if not image_files:
|
| 199 |
logger.error("No test images found")
|
| 200 |
return None
|
| 201 |
+
|
| 202 |
if image_name and image_name in image_files:
|
| 203 |
image_path = os.path.join(test_dir, image_name)
|
| 204 |
else:
|
| 205 |
image_path = os.path.join(test_dir, random.choice(image_files))
|
| 206 |
+
|
| 207 |
logger.info(f"Using test image: {image_path}")
|
| 208 |
+
|
| 209 |
try:
|
| 210 |
return Image.open(image_path)
|
| 211 |
except Exception as e:
|
| 212 |
logger.error(f"Failed to open test image: {e}")
|
| 213 |
return None
|
| 214 |
|
| 215 |
+
|
| 216 |
def capture_image(url=None, use_test_image=False, test_image_name=None):
|
| 217 |
+
global rpi_client, latest_data
|
| 218 |
+
|
| 219 |
+
if rpi_client is None:
|
| 220 |
+
create_client("rpi", BAMBU_HOST, BAMBU_PORT, BAMBU_USERNAME, BAMBU_PASSWORD)
|
| 221 |
+
|
| 222 |
+
serial = DEFAULT_SERIAL
|
| 223 |
+
request_topic = f"bambu_a1_mini/request/{serial}"
|
| 224 |
+
response_topic = f"bambu_a1_mini/response/{serial}"
|
| 225 |
+
|
| 226 |
+
logger.info(f"Subscribing to {response_topic}")
|
| 227 |
+
rpi_client.subscribe(response_topic)
|
| 228 |
+
|
| 229 |
+
rpi_client.publish(
|
| 230 |
+
request_topic,
|
| 231 |
+
json.dumps(
|
| 232 |
+
{
|
| 233 |
+
"command": "capture_image",
|
| 234 |
+
}
|
| 235 |
+
),
|
| 236 |
+
)
|
| 237 |
+
|
| 238 |
+
latest_data["image_url"] = "N/A"
|
| 239 |
+
timeout = 20
|
| 240 |
+
while latest_data["image_url"] == "N/A" and timeout > 0:
|
| 241 |
+
print("timeout", timeout)
|
| 242 |
+
time.sleep(1)
|
| 243 |
+
timeout -= 1
|
| 244 |
+
|
| 245 |
+
url = latest_data["image_url"]
|
| 246 |
|
| 247 |
if use_test_image:
|
| 248 |
logger.info("Using test image instead of URL")
|
|
|
|
| 251 |
return test_img
|
| 252 |
else:
|
| 253 |
logger.warning("Failed to get specified test image, trying URL")
|
|
|
|
| 254 |
|
| 255 |
+
if url != "N/A":
|
| 256 |
try:
|
| 257 |
logger.info(f"Capturing image from URL: {url}")
|
| 258 |
response = requests.get(url, timeout=10)
|
|
|
|
| 262 |
logger.error(f"Failed to get image from URL: {response.status_code}")
|
| 263 |
except Exception as e:
|
| 264 |
logger.error(f"Error capturing image from URL: {e}")
|
| 265 |
+
|
| 266 |
logger.info("URL capture failed or not provided, using random test image")
|
| 267 |
return get_test_image()
|
| 268 |
|
| 269 |
+
|
| 270 |
def health_check():
|
| 271 |
status = {
|
| 272 |
"app": "running",
|
| 273 |
"time": time.strftime("%Y-%m-%d %H:%M:%S"),
|
| 274 |
+
"bambu_mqtt_connected": bambu_client is not None,
|
| 275 |
+
"rpi_mqtt_connected": rpi_client is not None,
|
| 276 |
+
"latest_update": latest_data["update_time"],
|
| 277 |
}
|
| 278 |
logger.info(f"Health check: {status}")
|
| 279 |
return status
|
| 280 |
|
| 281 |
+
|
| 282 |
demo = gr.Blocks(title="Bambu A1 Mini Print Control")
|
| 283 |
|
| 284 |
with demo:
|
| 285 |
gr.Markdown("# Bambu A1 Mini Print Control")
|
| 286 |
+
|
| 287 |
with gr.Row():
|
| 288 |
refresh_btn = gr.Button("Refresh Status")
|
| 289 |
+
|
| 290 |
with gr.Row():
|
| 291 |
+
current_status = gr.Textbox(
|
| 292 |
+
label="Printer Status", value="N/A", interactive=False
|
| 293 |
+
)
|
| 294 |
+
current_bed_temp = gr.Textbox(
|
| 295 |
+
label="Current Bed Temperature", value="N/A", interactive=False
|
| 296 |
+
)
|
| 297 |
+
current_nozzle_temp = gr.Textbox(
|
| 298 |
+
label="Current Nozzle Temperature", value="N/A", interactive=False
|
| 299 |
+
)
|
| 300 |
last_update = gr.Textbox(label="Last Update", value="N/A", interactive=False)
|
| 301 |
|
| 302 |
with gr.Row():
|
|
|
|
| 304 |
with gr.Column(scale=2):
|
| 305 |
captured_image = gr.Image(label="Current Print Image", type="pil")
|
| 306 |
capture_btn = gr.Button("Capture Image")
|
| 307 |
+
|
| 308 |
# Right column for queue status and livestream
|
| 309 |
with gr.Column(scale=1):
|
| 310 |
gr.Markdown("### YouTube Livestream")
|
| 311 |
+
iframe_html = """
|
| 312 |
<div style="position: relative; width: 100%; padding-top: 56.25%;">
|
| 313 |
<iframe
|
| 314 |
style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"
|
|
|
|
| 320 |
allowfullscreen>
|
| 321 |
</iframe>
|
| 322 |
</div>
|
| 323 |
+
"""
|
| 324 |
gr.HTML(iframe_html)
|
| 325 |
|
| 326 |
with gr.Row():
|
| 327 |
with gr.Column():
|
| 328 |
+
nozzle_temp = gr.Slider(
|
| 329 |
+
minimum=180,
|
| 330 |
+
maximum=250,
|
| 331 |
+
step=1,
|
| 332 |
+
value=200,
|
| 333 |
+
label="Nozzle Temperature (Β°C)",
|
| 334 |
+
)
|
| 335 |
+
bed_temp = gr.Slider(
|
| 336 |
+
minimum=40, maximum=100, step=1, value=60, label="Bed Temperature (Β°C)"
|
| 337 |
+
)
|
| 338 |
+
print_speed = gr.Slider(
|
| 339 |
+
minimum=20, maximum=150, step=1, value=60, label="Print Speed (mm/s)"
|
| 340 |
+
)
|
| 341 |
+
fan_speed = gr.Slider(
|
| 342 |
+
minimum=0, maximum=100, step=1, value=100, label="Fan Speed (%)"
|
| 343 |
+
)
|
| 344 |
+
|
| 345 |
send_params_btn = gr.Button("Send Print Parameters")
|
| 346 |
|
| 347 |
refresh_btn.click(
|
| 348 |
fn=get_data,
|
| 349 |
+
outputs=[current_status, current_bed_temp, current_nozzle_temp, last_update],
|
| 350 |
)
|
| 351 |
+
|
| 352 |
capture_btn.click(
|
| 353 |
+
fn=lambda: gr.update(interactive=False), outputs=capture_btn
|
| 354 |
+
).then(fn=capture_image, outputs=[captured_image]).then(
|
| 355 |
+
fn=lambda: gr.update(interactive=True), outputs=capture_btn
|
| 356 |
)
|
| 357 |
+
|
| 358 |
send_params_btn.click(
|
| 359 |
fn=send_print_parameters,
|
| 360 |
inputs=[nozzle_temp, bed_temp, print_speed, fan_speed],
|
| 361 |
+
outputs=[current_status],
|
| 362 |
)
|
| 363 |
+
|
| 364 |
def api_get_data():
|
| 365 |
logger.info("API call: get_data")
|
| 366 |
return get_data()
|
| 367 |
+
|
| 368 |
def api_capture_frame(url=None, use_test_image=False, test_image_name=None):
|
| 369 |
+
logger.info(
|
| 370 |
+
f"API call: capture_frame with URL: {url}, use_test_image: {use_test_image}"
|
| 371 |
+
)
|
| 372 |
+
|
| 373 |
try:
|
| 374 |
img = capture_image(url, use_test_image, test_image_name)
|
| 375 |
if img:
|
| 376 |
+
if img.mode == "RGBA":
|
| 377 |
+
img = img.convert("RGB")
|
| 378 |
+
|
| 379 |
buffered = io.BytesIO()
|
| 380 |
img.save(buffered, format="JPEG")
|
| 381 |
img_str = base64.b64encode(buffered.getvalue()).decode()
|
| 382 |
+
|
| 383 |
+
return {"success": True, "image": img_str}
|
|
|
|
|
|
|
|
|
|
| 384 |
else:
|
| 385 |
+
return {"success": False, "error": "Failed to capture image"}
|
|
|
|
|
|
|
|
|
|
| 386 |
except Exception as e:
|
| 387 |
logger.error(f"Error in capture_frame: {e}")
|
| 388 |
+
return {"success": False, "error": str(e)}
|
| 389 |
+
|
| 390 |
+
def api_lambda(
|
| 391 |
+
img_data=None,
|
| 392 |
+
param_1=200,
|
| 393 |
+
param_2=60,
|
| 394 |
+
param_3=60,
|
| 395 |
+
param_4=100,
|
| 396 |
+
use_test_image=False,
|
| 397 |
+
test_image_name=None,
|
| 398 |
+
):
|
| 399 |
+
logger.info(
|
| 400 |
+
f"API call: lambda with params: {param_1}, {param_2}, {param_3}, {param_4}, use_test_image: {use_test_image}, test_image_name: {test_image_name}"
|
| 401 |
+
)
|
| 402 |
try:
|
| 403 |
img = None
|
| 404 |
+
|
| 405 |
if use_test_image:
|
| 406 |
logger.info(f"Lambda using test image: {test_image_name}")
|
| 407 |
img = get_test_image(test_image_name)
|
| 408 |
+
|
| 409 |
+
elif (
|
| 410 |
+
img_data
|
| 411 |
+
and isinstance(img_data, str)
|
| 412 |
+
and (img_data.startswith("http://") or img_data.startswith("https://"))
|
| 413 |
+
):
|
| 414 |
logger.info(f"Lambda received image URL: {img_data}")
|
| 415 |
+
img = capture_image(img_data)
|
| 416 |
+
|
| 417 |
elif img_data and isinstance(img_data, str):
|
| 418 |
try:
|
| 419 |
logger.info("Lambda received base64 image data")
|
|
|
|
| 421 |
img = Image.open(io.BytesIO(img_bytes))
|
| 422 |
except Exception as e:
|
| 423 |
logger.error(f"Failed to decode base64 image: {e}")
|
| 424 |
+
|
| 425 |
if img is None:
|
| 426 |
logger.info("No valid image data received, using default test image")
|
| 427 |
img = get_test_image()
|
| 428 |
+
|
| 429 |
if img:
|
| 430 |
img_array = np.array(img)
|
| 431 |
|
| 432 |
+
quality_level = "low"
|
| 433 |
if 190 <= param_1 <= 210 and param_3 <= 50 and param_4 >= 80:
|
| 434 |
+
quality_level = "high"
|
| 435 |
elif 185 <= param_1 <= 215 and param_3 <= 70 and param_4 >= 60:
|
| 436 |
+
quality_level = "medium"
|
| 437 |
+
|
| 438 |
+
if quality_level == "high":
|
| 439 |
missing_rate = 0.02
|
| 440 |
excess_rate = 0.01
|
| 441 |
stringing_rate = 0.01
|
| 442 |
+
elif quality_level == "medium":
|
| 443 |
missing_rate = 0.05
|
| 444 |
excess_rate = 0.03
|
| 445 |
stringing_rate = 0.02
|
|
|
|
| 447 |
missing_rate = 0.10
|
| 448 |
excess_rate = 0.07
|
| 449 |
stringing_rate = 0.05
|
| 450 |
+
|
| 451 |
uniformity_score = 1.0 - (missing_rate + excess_rate + stringing_rate)
|
| 452 |
+
|
| 453 |
+
print_quality_score = 1.0 - (
|
| 454 |
+
missing_rate * 2.0 + excess_rate * 1.5 + stringing_rate * 1.0
|
| 455 |
+
)
|
| 456 |
print_quality_score = max(0, min(1, print_quality_score))
|
| 457 |
+
|
| 458 |
print_speed_score = param_3 / 150.0
|
| 459 |
print_speed_score = max(0, min(1, print_speed_score))
|
| 460 |
+
|
| 461 |
material_efficiency_score = 1.0 - excess_rate * 3.0
|
| 462 |
material_efficiency_score = max(0, min(1, material_efficiency_score))
|
| 463 |
+
|
| 464 |
total_performance_score = (
|
| 465 |
+
0.5 * print_quality_score
|
| 466 |
+
+ 0.3 * print_speed_score
|
| 467 |
+
+ 0.2 * material_efficiency_score
|
| 468 |
)
|
|
|
|
| 469 |
|
| 470 |
img_draw = img.copy()
|
| 471 |
draw = ImageDraw.Draw(img_draw)
|
| 472 |
+
draw.text(
|
| 473 |
+
(10, 10), f"Quality: {quality_level.upper()}", fill=(255, 0, 0)
|
| 474 |
+
)
|
| 475 |
draw.text((10, 30), f"Missing: {missing_rate:.2f}", fill=(255, 0, 0))
|
| 476 |
draw.text((10, 50), f"Excess: {excess_rate:.2f}", fill=(255, 0, 0))
|
| 477 |
+
draw.text(
|
| 478 |
+
(10, 70), f"Stringing: {stringing_rate:.2f}", fill=(255, 0, 0)
|
| 479 |
+
)
|
| 480 |
+
|
| 481 |
result = {
|
| 482 |
"success": True,
|
| 483 |
"missing_rate": missing_rate,
|
|
|
|
| 487 |
"print_quality_score": print_quality_score,
|
| 488 |
"print_speed_score": print_speed_score,
|
| 489 |
"material_efficiency_score": material_efficiency_score,
|
| 490 |
+
"total_performance_score": total_performance_score,
|
| 491 |
}
|
|
|
|
| 492 |
|
| 493 |
+
if img_draw.mode == "RGBA":
|
| 494 |
+
img_draw = img_draw.convert("RGB")
|
| 495 |
|
| 496 |
buffered = io.BytesIO()
|
| 497 |
img_draw.save(buffered, format="JPEG")
|
| 498 |
img_str = base64.b64encode(buffered.getvalue()).decode()
|
| 499 |
result["image"] = img_str
|
| 500 |
+
|
| 501 |
return result
|
| 502 |
else:
|
| 503 |
+
return {"success": False, "error": "Failed to get image"}
|
|
|
|
|
|
|
|
|
|
| 504 |
except Exception as e:
|
| 505 |
logger.error(f"Error in lambda: {e}")
|
| 506 |
+
return {"error": str(e)}
|
| 507 |
+
|
| 508 |
+
def api_send_print_parameters(
|
| 509 |
+
nozzle_temp=200, bed_temp=60, print_speed=60, fan_speed=100
|
| 510 |
+
):
|
| 511 |
+
logger.info(
|
| 512 |
+
f"API call: send_print_parameters with nozzle={nozzle_temp}, bed={bed_temp}, speed={print_speed}, fan={fan_speed}"
|
| 513 |
+
)
|
| 514 |
return send_print_parameters(nozzle_temp, bed_temp, print_speed, fan_speed)
|
| 515 |
|
| 516 |
api_json_output = gr.JSON()
|
| 517 |
api_text_output = gr.Textbox()
|
| 518 |
+
|
| 519 |
capture_frame_api = demo.load(
|
| 520 |
fn=api_capture_frame,
|
| 521 |
inputs=[
|
| 522 |
gr.Textbox(label="Image URL"),
|
| 523 |
gr.Checkbox(label="Use Test Image", value=False),
|
| 524 |
+
gr.Textbox(label="Test Image Name", value=""),
|
| 525 |
],
|
| 526 |
+
outputs=api_json_output,
|
| 527 |
+
api_name="capture_frame",
|
| 528 |
)
|
| 529 |
+
|
| 530 |
lambda_api = demo.load(
|
| 531 |
fn=api_lambda,
|
| 532 |
inputs=[
|
|
|
|
| 536 |
gr.Number(label="Print Speed", value=60),
|
| 537 |
gr.Number(label="Fan Speed", value=100),
|
| 538 |
gr.Checkbox(label="Use Test Image", value=False),
|
| 539 |
+
gr.Textbox(label="Test Image Name", value=""),
|
| 540 |
],
|
| 541 |
+
outputs=api_json_output,
|
| 542 |
+
api_name="lambda",
|
| 543 |
)
|
| 544 |
+
|
| 545 |
get_data_api = demo.load(
|
| 546 |
+
fn=api_get_data, inputs=None, outputs=api_json_output, api_name="get_data"
|
|
|
|
|
|
|
|
|
|
| 547 |
)
|
| 548 |
+
|
| 549 |
send_params_api = demo.load(
|
| 550 |
fn=api_send_print_parameters,
|
| 551 |
inputs=[
|
| 552 |
gr.Number(label="Nozzle Temperature", value=200),
|
| 553 |
gr.Number(label="Bed Temperature", value=60),
|
| 554 |
gr.Number(label="Print Speed", value=60),
|
| 555 |
+
gr.Number(label="Fan Speed", value=100),
|
| 556 |
],
|
| 557 |
+
outputs=api_text_output,
|
| 558 |
+
api_name="send_print_parameters",
|
| 559 |
)
|
| 560 |
|
| 561 |
if __name__ == "__main__":
|
| 562 |
logger.info("Starting Bambu A1 Mini Print Control application")
|
| 563 |
+
|
| 564 |
try:
|
| 565 |
logger.info("Initializing MQTT client")
|
| 566 |
+
create_client("bambu", BAMBU_HOST, BAMBU_PORT, BAMBU_USERNAME, BAMBU_PASSWORD)
|
| 567 |
+
create_client("rpi", RPI_HOST, RPI_PORT, RPI_USERNAME, RPI_PASSWORD)
|
| 568 |
except Exception as e:
|
| 569 |
logger.error(f"Failed to initialize MQTT: {e}")
|
| 570 |
+
|
| 571 |
demo.queue().launch(
|
| 572 |
+
show_error=True, share=False, server_name="0.0.0.0", server_port=7860
|
|
|
|
|
|
|
|
|
|
| 573 |
)
|