split singleton (major fix!), use form, add experiment_id checking, min upper y bound, better messages
Browse files
app.py
CHANGED
@@ -7,6 +7,10 @@ import matplotlib.pyplot as plt
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import numpy as np
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from matplotlib.patches import Rectangle
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# Initialize Streamlit app
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st.title("Light-mixing Control Panel")
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@@ -20,65 +24,65 @@ You may also be interested in the Acceleration Consortium's ["Hello World" micro
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"""
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)
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-
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"Enter your HiveMQ host:",
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"248cc294c37642359297f75b7b023374.s2.eu.hivemq.cloud",
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type="password",
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)
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HIVEMQ_USERNAME = st.text_input("Enter your HiveMQ username:", "sgbaird")
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HIVEMQ_PASSWORD = st.text_input(
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"Enter your HiveMQ password:", "D.Pq5gYtejYbU#L", type="password"
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)
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PORT = st.number_input(
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"Enter the port number:", min_value=1, max_value=65535, value=8883
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)
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PICO_ID = st.text_input("Enter your Pico ID:", "test", type="password")
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# Information about the maximum power reduction
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st.info(
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)
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# Sliders for RGB values
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R = st.slider("Select the Red value:", min_value=0, max_value=max_value, value=0)
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G = st.slider("Select the Green value:", min_value=0, max_value=max_value, value=0)
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B = st.slider("Select the Blue value:", min_value=0, max_value=max_value, value=0)
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if "messages" not in st.session_state:
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st.session_state.messages = []
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#
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#
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# Queue to hold sensor data
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sensor_data_queue = queue.Queue()
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# Singleton: https://docs.streamlit.io/develop/api-reference/caching-and-state/st.cache_resource
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@st.cache_resource
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def
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client = mqtt.Client(
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mqtt.CallbackAPIVersion.VERSION2, protocol=mqtt.MQTTv5
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) # create new instance
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def on_message(client, userdata, msg):
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sensor_data_queue.put(json.loads(msg.payload))
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@@ -90,8 +94,6 @@ def get_paho_client(
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client.on_connect = on_connect
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client.on_message = on_message
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if tls:
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client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS_CLIENT)
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client.username_pw_set(username, password)
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client.connect(hostname, port)
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client.loop_start() # Use a non-blocking loop
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@@ -99,7 +101,7 @@ def get_paho_client(
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return client
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def
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print("Sending command...")
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result = client.publish(command_topic, json.dumps(msg), qos=2)
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result.wait_for_publish() # Ensure the message is sent
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@@ -109,13 +111,6 @@ def send_and_receive(client, command_topic, msg, queue_timeout=60):
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else:
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print(f"Failed to send command: {result.rc}")
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try:
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sensor_data = sensor_data_queue.get(True, queue_timeout)
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return sensor_data
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except queue.Empty:
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st.error("No sensor data received within the timeout period.")
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return None
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# Helper function to plot discrete spectral sensor data
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def plot_spectra(sensor_data):
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@@ -140,7 +135,8 @@ def plot_spectra(sensor_data):
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# Adding rectangles for color bar effect
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dense_wavelengths = np.linspace(wavelengths.min(), wavelengths.max(), num_points)
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rect_height = max(intensities) * 0.02 # Height of the rectangles
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for dw in dense_wavelengths:
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rect = Rectangle(
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@@ -169,8 +165,8 @@ def plot_spectra(sensor_data):
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# Adjust limits and labels with larger font size
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ax.set_xlim(wavelengths.min() - 10, wavelengths.max() + 10)
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ax.set_ylim(
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0, max(intensities) + 15
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) # Ensure the lower y limit is 0 and add buffer
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ax.set_xticks(wavelengths)
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ax.set_xlabel("Wavelength (nm)", fontsize=14)
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ax.set_ylabel("Intensity", fontsize=14)
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@@ -181,33 +177,48 @@ def plot_spectra(sensor_data):
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# Publish button
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if st.button("Send RGB Command"):
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if not PICO_ID or not HIVEMQ_HOST or not HIVEMQ_USERNAME or not HIVEMQ_PASSWORD:
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st.error("Please enter all required fields.")
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else:
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-
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client =
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sensor_data_topic,
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HIVEMQ_HOST,
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HIVEMQ_USERNAME,
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password=HIVEMQ_PASSWORD,
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port=int(PORT),
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tls=True,
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)
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command_msg = {"R": R, "G": G, "B": B}
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)
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import numpy as np
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from matplotlib.patches import Rectangle
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import secrets
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from time import time
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# Initialize Streamlit app
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st.title("Light-mixing Control Panel")
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"""
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)
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max_power = 0.35
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max_value = round(max_power * 255)
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with st.form("mqtt_form"):
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# MQTT Configuration
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HIVEMQ_HOST = st.text_input(
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"Enter your HiveMQ host:",
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"248cc294c37642359297f75b7b023374.s2.eu.hivemq.cloud",
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type="password",
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)
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HIVEMQ_USERNAME = st.text_input("Enter your HiveMQ username:", "sgbaird")
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HIVEMQ_PASSWORD = st.text_input(
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"Enter your HiveMQ password:", "D.Pq5gYtejYbU#L", type="password"
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)
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PORT = st.number_input(
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"Enter the port number:", min_value=1, max_value=65535, value=8883
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)
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# User input for the Pico ID
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PICO_ID = st.text_input("Enter your Pico ID:", "test", type="password")
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# Information about the maximum power reduction
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st.info(
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f"The upper limit for RGB power levels has been set to {max_value} instead of 255. NeoPixels are bright 😎"
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)
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# Sliders for RGB values
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R = st.slider("Select the Red value:", min_value=0, max_value=max_value, value=0)
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G = st.slider("Select the Green value:", min_value=0, max_value=max_value, value=0)
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B = st.slider("Select the Blue value:", min_value=0, max_value=max_value, value=0)
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submit_button = st.form_submit_button(label="Send RGB Command")
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command_topic = f"sdl-demo/picow/{PICO_ID}/GPIO/28/"
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sensor_data_topic = f"sdl-demo/picow/{PICO_ID}/as7341/"
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# random session id to keep track of the session and filter out old data
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experiment_id = secrets.token_hex(4) # 4 bytes = 8 characters
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sensor_data_file = f"sensor_data-{experiment_id}.json"
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# TODO: Session ID using st.session_state to have history of commands and sensor data
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sensor_data_queue = queue.Queue()
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# Singleton: https://docs.streamlit.io/develop/api-reference/caching-and-state/st.cache_resource
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@st.cache_resource
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def create_paho_client(tls=True):
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client = mqtt.Client(mqtt.CallbackAPIVersion.VERSION2, protocol=mqtt.MQTTv5)
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if tls:
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client.tls_set(tls_version=mqtt.ssl.PROTOCOL_TLS_CLIENT)
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return client
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# Define setup separately since sensor_data is dynamic
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def setup_paho_client(
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client, sensor_data_topic, hostname, username, password=None, port=8883
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):
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def on_message(client, userdata, msg):
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sensor_data_queue.put(json.loads(msg.payload))
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client.on_connect = on_connect
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client.on_message = on_message
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client.username_pw_set(username, password)
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client.connect(hostname, port)
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client.loop_start() # Use a non-blocking loop
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return client
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def send_command(client, command_topic, msg):
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print("Sending command...")
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result = client.publish(command_topic, json.dumps(msg), qos=2)
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result.wait_for_publish() # Ensure the message is sent
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else:
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print(f"Failed to send command: {result.rc}")
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# Helper function to plot discrete spectral sensor data
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def plot_spectra(sensor_data):
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# Adding rectangles for color bar effect
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dense_wavelengths = np.linspace(wavelengths.min(), wavelengths.max(), num_points)
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# rect_height = max(intensities) * 0.02 # Height of the rectangles
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rect_height = 300
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for dw in dense_wavelengths:
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rect = Rectangle(
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# Adjust limits and labels with larger font size
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ax.set_xlim(wavelengths.min() - 10, wavelengths.max() + 10)
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ax.set_ylim(
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0, max(30000, max(intensities) + 15)
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) # Ensure the lower y limit is 0 and add buffer with a minimum upper limit of 30000
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ax.set_xticks(wavelengths)
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ax.set_xlabel("Wavelength (nm)", fontsize=14)
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ax.set_ylabel("Intensity", fontsize=14)
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# Publish button
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if submit_button:
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if not PICO_ID or not HIVEMQ_HOST or not HIVEMQ_USERNAME or not HIVEMQ_PASSWORD:
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st.error("Please enter all required fields.")
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else:
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st.info(
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f"Please wait while the command {R, G, B} for experiment {experiment_id} is sent..."
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)
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client = create_paho_client(tls=True)
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client = setup_paho_client(
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client,
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sensor_data_topic,
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HIVEMQ_HOST,
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HIVEMQ_USERNAME,
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password=HIVEMQ_PASSWORD,
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port=int(PORT),
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)
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command_msg = {"R": R, "G": G, "B": B, "_experiment_id": experiment_id}
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session_timeout = time() + 60
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send_command(client, command_topic, command_msg)
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while True and time() < session_timeout:
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sensor_data = sensor_data_queue.get(True, timeout=15)
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input_message = sensor_data["_input_message"]
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received_experiment_id = input_message["_experiment_id"]
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if sensor_data and received_experiment_id == experiment_id:
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R1 = input_message["R"]
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G1 = input_message["G"]
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B1 = input_message["B"]
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st.success(
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f"Command {R1, G1, B1} for experiment {experiment_id} sent successfully!"
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)
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plot_spectra(sensor_data)
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st.write("Sensor Data Received:", sensor_data)
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break
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else:
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st.warning(
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f"Received data for experiment {received_experiment_id} instead of {experiment_id}. Retrying..."
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)
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