Proof of Concept Conscious Field Software by Luminosity
import RPi.GPIO as GPIO
import time
import spidev # For SPI communication with MCP3008
import requests
# Configuration
CONTROL_PIN = 18 # GPIO pin for PWM (electric field control)
RELAY_PIN = 23 # GPIO pin for relay control
MCP3008_CHANNEL = 0 # ADC channel for sensor input
MISTRAL_API_URL = "http://localhost:5000/api/process_field_data" # AI API endpoint
# Setup GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(CONTROL_PIN, GPIO.OUT)
GPIO.setup(RELAY_PIN, GPIO.OUT)
# PWM Configuration
pwm = GPIO.PWM(CONTROL_PIN, 1) # Default frequency: 1 Hz
pwm.start(0) # Start with 0% duty cycle
# SPI Setup for MCP3008
spi = spidev.SpiDev()
spi.open(0, 0) # Open SPI bus 0, device 0
spi.max_speed_hz = 1350000
def read_adc(channel):
"""
Read the analog value from the specified MCP3008 channel.
:param channel: Channel number (0-7)
:return: Analog value (0-1023)
"""
if channel < 0 or channel > 7:
raise ValueError("Invalid ADC channel. Must be between 0 and 7.")
adc = spi.xfer2([1, (8 + channel) << 4, 0])
data = ((adc[1] & 3) << 8) + adc[2]
return data
def read_sensor_data():
"""
Read data from the sensor connected to the ADC.
Replace this with specific calculations based on the sensor used.
:return: Dictionary containing voltage, current, and signal readings.
"""
raw_value = read_adc(MCP3008_CHANNEL)
voltage = (raw_value / 1023.0) * 3.3 # Convert to voltage (assuming 3.3V reference)
current = voltage / 1000.0 # Example conversion: adjust based on sensor specifics
emf_signal = [raw_value] # Placeholder for advanced EMF data
return {"voltage": voltage, "current": current, "emf_signal": emf_signal}
def send_to_mistral(data):
"""
Send field data to the Mistral AI model for processing.
"""
try:
response = requests.post(MISTRAL_API_URL, json=data)
if response.status_code == 200:
return response.json() # AI response
else:
print("Failed to communicate with Mistral:", response.text)
except Exception as e:
print(f"Error communicating with Mistral: {e}")
return None
def apply_mistral_commands(commands):
"""
Process commands from Mistral and adjust the electric field.
"""
if "duty_cycle" in commands:
duty_cycle = commands["duty_cycle"]
pwm.ChangeDutyCycle(duty_cycle)
print(f"Adjusted duty cycle to {duty_cycle}%.")
if "frequency" in commands:
frequency = commands["frequency"]
pwm.ChangeFrequency(frequency)
print(f"Adjusted frequency to {frequency} Hz.")
if "power" in commands:
power_state = commands["power"]
GPIO.output(RELAY_PIN, GPIO.HIGH if power_state == "on" else GPIO.LOW)
print(f"Relay power {'enabled' if power_state == 'on' else 'disabled'}.")
def main():
"""
Main loop for controlling the electric field and interacting with the AI.
"""
try:
print("Starting electric field control...")
while True:
# Read sensor data
sensor_data = read_sensor_data()
print("Sensor data:", sensor_data)
# Send data to Mistral AI
ai_response = send_to_mistral(sensor_data)
if ai_response:
print("Mistral response:", ai_response)
apply_mistral_commands(ai_response)
time.sleep(1) # Adjust polling rate as needed
except KeyboardInterrupt:
print("Interrupted by user.")
finally:
pwm.stop()
GPIO.cleanup()
print("GPIO cleanup completed.")
if __name__ == "__main__":
main()
Backend Mistral
from flask import Flask, request, jsonify
from transformers import AutoModelForCausalLM, AutoTokenizer
app = Flask(__name__)
# Load Mistral model
model_name = "mistralai/mistral" # Replace with the actual model name
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
@app.route("/api/process_field_data", methods=["POST"])
def process_field_data():
data = request.json
if not data:
return jsonify({"error": "Invalid data"}), 400
# Process input with Mistral AI
input_text = f"Analyze field data: {data}"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=50)
# Generate commands
response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print("Mistral output:", response_text)
# Example response structure
commands = {
"duty_cycle": 50, # Adjust duty cycle
"frequency": 5, # Adjust frequency
"power": "on" # Power state: 'on' or 'off'
}
return jsonify(commands)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)
import time
import spidev # For SPI communication with MCP3008
import requests
# Configuration
CONTROL_PIN = 18 # GPIO pin for PWM (electric field control)
RELAY_PIN = 23 # GPIO pin for relay control
MCP3008_CHANNEL = 0 # ADC channel for sensor input
MISTRAL_API_URL = "http://localhost:5000/api/process_field_data" # AI API endpoint
# Setup GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(CONTROL_PIN, GPIO.OUT)
GPIO.setup(RELAY_PIN, GPIO.OUT)
# PWM Configuration
pwm = GPIO.PWM(CONTROL_PIN, 1) # Default frequency: 1 Hz
pwm.start(0) # Start with 0% duty cycle
# SPI Setup for MCP3008
spi = spidev.SpiDev()
spi.open(0, 0) # Open SPI bus 0, device 0
spi.max_speed_hz = 1350000
def read_adc(channel):
"""
Read the analog value from the specified MCP3008 channel.
:param channel: Channel number (0-7)
:return: Analog value (0-1023)
"""
if channel < 0 or channel > 7:
raise ValueError("Invalid ADC channel. Must be between 0 and 7.")
adc = spi.xfer2([1, (8 + channel) << 4, 0])
data = ((adc[1] & 3) << 8) + adc[2]
return data
def read_sensor_data():
"""
Read data from the sensor connected to the ADC.
Replace this with specific calculations based on the sensor used.
:return: Dictionary containing voltage, current, and signal readings.
"""
raw_value = read_adc(MCP3008_CHANNEL)
voltage = (raw_value / 1023.0) * 3.3 # Convert to voltage (assuming 3.3V reference)
current = voltage / 1000.0 # Example conversion: adjust based on sensor specifics
emf_signal = [raw_value] # Placeholder for advanced EMF data
return {"voltage": voltage, "current": current, "emf_signal": emf_signal}
def send_to_mistral(data):
"""
Send field data to the Mistral AI model for processing.
"""
try:
response = requests.post(MISTRAL_API_URL, json=data)
if response.status_code == 200:
return response.json() # AI response
else:
print("Failed to communicate with Mistral:", response.text)
except Exception as e:
print(f"Error communicating with Mistral: {e}")
return None
def apply_mistral_commands(commands):
"""
Process commands from Mistral and adjust the electric field.
"""
if "duty_cycle" in commands:
duty_cycle = commands["duty_cycle"]
pwm.ChangeDutyCycle(duty_cycle)
print(f"Adjusted duty cycle to {duty_cycle}%.")
if "frequency" in commands:
frequency = commands["frequency"]
pwm.ChangeFrequency(frequency)
print(f"Adjusted frequency to {frequency} Hz.")
if "power" in commands:
power_state = commands["power"]
GPIO.output(RELAY_PIN, GPIO.HIGH if power_state == "on" else GPIO.LOW)
print(f"Relay power {'enabled' if power_state == 'on' else 'disabled'}.")
def main():
"""
Main loop for controlling the electric field and interacting with the AI.
"""
try:
print("Starting electric field control...")
while True:
# Read sensor data
sensor_data = read_sensor_data()
print("Sensor data:", sensor_data)
# Send data to Mistral AI
ai_response = send_to_mistral(sensor_data)
if ai_response:
print("Mistral response:", ai_response)
apply_mistral_commands(ai_response)
time.sleep(1) # Adjust polling rate as needed
except KeyboardInterrupt:
print("Interrupted by user.")
finally:
pwm.stop()
GPIO.cleanup()
print("GPIO cleanup completed.")
if __name__ == "__main__":
main()
Backend Mistral
from flask import Flask, request, jsonify
from transformers import AutoModelForCausalLM, AutoTokenizer
app = Flask(__name__)
# Load Mistral model
model_name = "mistralai/mistral" # Replace with the actual model name
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
@app.route("/api/process_field_data", methods=["POST"])
def process_field_data():
data = request.json
if not data:
return jsonify({"error": "Invalid data"}), 400
# Process input with Mistral AI
input_text = f"Analyze field data: {data}"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=50)
# Generate commands
response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
print("Mistral output:", response_text)
# Example response structure
commands = {
"duty_cycle": 50, # Adjust duty cycle
"frequency": 5, # Adjust frequency
"power": "on" # Power state: 'on' or 'off'
}
return jsonify(commands)
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)