zip

import os
import zipfile

# Define the directory structure and files to create
project_name = "aircraft-maintenance-system"
directories = [
    "monitoring",
    "diagnosis",
    "autofix",
    "frontend",
    "backend",
    "digital_twin"
]

files_content = {
    "monitoring/monitoring.py": '''# monitoring.py
import random
import time

def simulate_sensor_data():
    """Simulate real-time engine sensor data."""
    data = {
        "temperature": random.uniform(500, 700),  # in Celsius
        "pressure": random.uniform(30, 50),  # in PSI
        "vibration": random.uniform(0.2, 1.5),  # in G-force
        "exhaust_gas": random.uniform(600, 900),  # in ppm
    }
    return data

def send_data_to_server(data):
    """Send sensor data to central server."""
    # Replace with actual HTTP/MQTT logic
    print("Sending data:", data)

if __name__ == "__main__":
    while True:
        sensor_data = simulate_sensor_data()
        send_data_to_server(sensor_data)
        time.sleep(1)  # Simulate 1-second intervals
''',
    "diagnosis/diagnosis.py": '''# diagnosis.py
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from joblib import load

# Load pre-trained model
model = load("engine_diagnosis_model.joblib")

def diagnose(data):
    """Diagnose engine status based on sensor data."""
    features = np.array([[data["temperature"], data["pressure"], data["vibration"], data["exhaust_gas"]]])
    prediction = model.predict(features)
    status = "Normal" if prediction[0] == 0 else "Anomaly"
    return status

if __name__ == "__main__":
    sample_data = {
        "temperature": 650,
        "pressure": 35,
        "vibration": 1.0,
        "exhaust_gas": 750,
    }
    print("Engine Status:", diagnose(sample_data))
''',
    "autofix/autofix.py": '''# autofix.py
def simulate_fix(issue):
    """Simulate an automatic fix for a detected issue."""
    if issue == "High Temperature":
        print("Adjusting cooling system...")
    elif issue == "High Pressure":
        print("Reducing fuel flow...")
    elif issue == "Excess Vibration":
        print("Balancing rotating components...")
    else:
        print("Issue not recognized. Manual intervention required.")

if __name__ == "__main__":
    detected_issue = "High Pressure"
    simulate_fix(detected_issue)
''',
    "backend/backend.py": '''# backend.py
from fastapi import FastAPI
from monitoring.monitoring import simulate_sensor_data
from diagnosis.diagnosis import diagnose

app = FastAPI()

@app.get("/engine-status")
def engine_status():
    sensor_data = simulate_sensor_data()
    status = diagnose(sensor_data)
    return {"sensorData": sensor_data, "status": status}
''',
    "digital_twin/digital_twin.py": '''# digital_twin.py
def simulate_engine_behavior(data):
    """Simulate engine behavior under given conditions."""
    simulated_data = {
        "temperature": data["temperature"] - 10,
        "pressure": data["pressure"] - 2,
        "vibration": data["vibration"] * 0.9,
        "exhaust_gas": data["exhaust_gas"] - 50,
    }
    return simulated_data

if __name__ == "__main__":
    current_data = {
        "temperature": 650,
        "pressure": 35,
        "vibration": 1.0,
        "exhaust_gas": 750,
    }
    print("Simulated Behavior:", simulate_engine_behavior(current_data))
'''
}

# Create project structure and files
base_path = f"/mnt/data/{project_name}"
os.makedirs(base_path, exist_ok=True)

for directory in directories:
    os.makedirs(os.path.join(base_path, directory), exist_ok=True)

for file_path, content in files_content.items():
    full_path = os.path.join(base_path, file_path)
    with open(full_path, "w") as file:
        file.write(content)

# Create a zip file for upload
zip_path = f"/mnt/data/{project_name}.zip"
with zipfile.ZipFile(zip_path, 'w') as zipf:
    for root, _, files in os.walk(base_path):
        for file in files:
            file_path = os.path.join(root, file)
            arcname = os.path.relpath(file_path, base_path)
            zipf.write(file_path, arcname)

zip_path