primo commit refactory in python

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"""
Example usage of the sensor data processing system.
This file demonstrates how to use the converted Python modules.
"""
import sys
import logging
from pathlib import Path
# Add src to Python path
sys.path.insert(0, str(Path(__file__).parent))
from src.rsn.main import process_rsn_chain
from src.tilt.main import process_tilt_chain
from src.atd.main import process_atd_chain
def example_rsn_processing():
"""
Example: Process RSN chain data for a control unit.
"""
print("=" * 60)
print("Example 1: RSN Chain Processing")
print("=" * 60)
control_unit_id = "CU001" # Control unit identifier
chain = "A" # Chain identifier
print(f"\nProcessing RSN data for unit {control_unit_id}, chain {chain}")
try:
result = process_rsn_chain(control_unit_id, chain)
if result == 0:
print("✓ RSN processing completed successfully")
print(f"Check log file: LogFile_RSN-{control_unit_id}-{chain}-*.txt")
else:
print("✗ RSN processing failed")
return False
except Exception as e:
print(f"✗ Error: {e}")
return False
return True
def example_tilt_processing():
"""
Example: Process Tilt sensor data.
"""
print("\n" + "=" * 60)
print("Example 2: Tilt Sensor Processing")
print("=" * 60)
control_unit_id = "CU002"
chain = "B"
print(f"\nProcessing Tilt data for unit {control_unit_id}, chain {chain}")
try:
result = process_tilt_chain(control_unit_id, chain)
if result == 0:
print("✓ Tilt processing completed successfully")
else:
print("✗ Tilt processing failed")
return False
except Exception as e:
print(f"✗ Error: {e}")
return False
return True
def example_atd_processing():
"""
Example: Process ATD sensor data (extensometers, crackmeters, etc.).
"""
print("\n" + "=" * 60)
print("Example 3: ATD Sensor Processing")
print("=" * 60)
control_unit_id = "CU003"
chain = "C"
print(f"\nProcessing ATD data for unit {control_unit_id}, chain {chain}")
try:
result = process_atd_chain(control_unit_id, chain)
if result == 0:
print("✓ ATD processing completed successfully")
else:
print("✗ ATD processing failed")
return False
except Exception as e:
print(f"✗ Error: {e}")
return False
return True
def example_database_connection():
"""
Example: Direct database connection and query.
"""
print("\n" + "=" * 60)
print("Example 4: Direct Database Access")
print("=" * 60)
from src.common.database import DatabaseConfig, DatabaseConnection
try:
# Load configuration
config = DatabaseConfig("DB.txt")
print(f"✓ Configuration loaded for database: {config.config['database']}")
# Connect to database
with DatabaseConnection(config) as conn:
print("✓ Database connection established")
# Example query
query = """
SELECT IDcentralina, DTcatena, COUNT(*) as sensor_count
FROM raw_rsn_data
WHERE timestamp >= DATE_SUB(NOW(), INTERVAL 7 DAY)
GROUP BY IDcentralina, DTcatena
LIMIT 5
"""
print("\nRecent sensor data (last 7 days):")
results = conn.execute_query(query)
for row in results:
print(f" Unit: {row['IDcentralina']}, "
f"Chain: {row['DTcatena']}, "
f"Records: {row['sensor_count']}")
print("\n✓ Database operations completed")
return True
except Exception as e:
print(f"✗ Error: {e}")
return False
def example_data_validation():
"""
Example: Data validation and filtering.
"""
print("\n" + "=" * 60)
print("Example 5: Data Validation")
print("=" * 60)
import numpy as np
from src.common.validators import (
validate_temperature,
despike_data,
check_acceleration_vector
)
# Simulate sensor data
temperature = np.array([
[20.5, 21.3, 22.1],
[20.8, 21.5, 95.0], # Invalid: > 80°C
[20.9, 21.7, 22.3],
[21.0, -35.0, 22.5], # Invalid: < -30°C
])
print("\nOriginal temperature data:")
print(temperature)
# Validate temperature
invalid_mask, n_corrections = validate_temperature(temperature)
print(f"\n✓ Temperature validation: {n_corrections} invalid values found")
# Simulate acceleration data with spikes
acc_data = np.array([
[1.0, 1.0, 1.0],
[1.02, 1.01, 1.03],
[1.04, 5.0, 1.02], # Spike in second sensor
[1.03, 1.01, 1.04],
[1.05, 1.02, 1.03],
])
print("\nOriginal acceleration data:")
print(acc_data)
# Remove spikes
despiked, n_spikes = despike_data(acc_data, n_points=3, threshold=3.0)
print(f"\n✓ Despiking: {n_spikes} spikes removed")
print("Despiked data:")
print(despiked)
return True
def example_logging_setup():
"""
Example: Logging configuration.
"""
print("\n" + "=" * 60)
print("Example 6: Logging Setup")
print("=" * 60)
from src.common.logging_utils import setup_logger, log_function_start, log_function_end
# Setup logger
logger = setup_logger("TEST001", "A", "Example", log_dir=".")
# Log messages
log_function_start(logger, "example_function")
logger.info("Processing sensor data...")
logger.warning("This is a warning message")
log_function_end(logger, "example_function")
print("\n✓ Logging examples written to log file")
return True
def main():
"""
Run all examples.
"""
print("\n")
print("" + "=" * 58 + "")
print("║ Sensor Data Processing System - Python Examples ║")
print("" + "=" * 58 + "")
# Check if DB.txt exists
if not Path("DB.txt").exists():
print("\n⚠ Warning: DB.txt not found")
print("Create DB.txt with database credentials to run examples")
print("See DB.txt.example for format")
print("\nRunning examples that don't require database...")
# Run examples that don't need database
example_data_validation()
example_logging_setup()
return
# Run all examples
examples = [
("Data Validation", example_data_validation),
("Logging Setup", example_logging_setup),
("Database Connection", example_database_connection),
# Uncomment when you have actual data:
# ("RSN Processing", example_rsn_processing),
# ("Tilt Processing", example_tilt_processing),
# ("ATD Processing", example_atd_processing),
]
results = []
for name, func in examples:
try:
success = func()
results.append((name, success))
except Exception as e:
print(f"\n{name} failed with exception: {e}")
results.append((name, False))
# Summary
print("\n" + "=" * 60)
print("Summary")
print("=" * 60)
for name, success in results:
status = "✓ PASS" if success else "✗ FAIL"
print(f"{status}: {name}")
n_passed = sum(1 for _, success in results if success)
n_total = len(results)
print(f"\nTotal: {n_passed}/{n_total} examples passed")
if __name__ == "__main__":
main()