2025-04-23 15:43:46 +02:00

62 lines
1.8 KiB
Python

import os
import threading
from datetime import datetime
import time
import random
# Shared list and lock
measurement_data = []
data_lock = threading.Lock()
def append_measurement(target_b_abs, b_x, b_y):
measurement = {
"Target B_abs": target_b_abs,
"Datetime": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"B_x": b_x,
"B_y": b_y
}
with data_lock:
measurement_data.append(measurement)
def save_measurements_to_file(relative_directory):
script_dir = os.path.dirname(os.path.abspath(__file__))
directory = os.path.join(script_dir, relative_directory)
os.makedirs(directory, exist_ok=True)
filename = datetime.now().strftime("%Y-%m-%d_%H-%M") + ".txt"
file_path = os.path.join(directory, filename)
header_keys = ["Target B_abs", "Datetime", "B_x", "B_y"]
with data_lock:
with open(file_path, 'w') as f:
f.write(", ".join(header_keys) + "\n")
for entry in measurement_data:
line = ", ".join(str(entry[key]) for key in header_keys) + "\n"
f.write(line)
# Thread function
def simulate_sensor_readings(sensor_id):
for i in range(3):
# Simulate some "sensor" data
target_b_abs = round(random.uniform(0.1, 1.0), 3)
b_x = round(random.uniform(-1.0, 1.0), 3)
b_y = round(random.uniform(-1.0, 1.0), 3)
print(f"Sensor {sensor_id} appending: {target_b_abs}, {b_x}, {b_y}")
append_measurement(target_b_abs, b_x, b_y)
time.sleep(random.uniform(1,2)) # Simulate delay
# Launch threads
thread1 = threading.Thread(target=simulate_sensor_readings, args=(1,))
thread2 = threading.Thread(target=simulate_sensor_readings, args=(2,))
thread1.start()
thread2.start()
thread1.join()
thread2.join()
# Save all data at the end
save_measurements_to_file("TestDirectory")
print