update

sound_meter/NSRT_mk4_get_data.py

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+'''
+  ____   ___  _   _ _   _ ____  
+ / ___| / _ \| | | | \ | |  _ \ 
+ \___ \| | | | | | |  \| | | | |
+  ___) | |_| | |_| | |\  | |_| |
+ |____/ \___/ \___/|_| \_|____/ 
+                                
+python3 /var/www/nebuleair_pro_4g/sound_meter/get_data.py
+
+Script to get data from the NSRT_MK4 Sound Level Meter
+
+Need to install "nsrt_mk3_dev"
+
+1.Intervalle d'enregistrement 
+L'intervalle d'enregistrement définit le temps entre deux points successifs enregistrés. 
+Cela définit également la période d'intégration pour le LEQ, et la période d'observation pour L-min et L-max et Lpeak.  
+L'intervalle d'enregistrement peut être réglé de 125 ms (1/8ème) à 2 H par incréments de 125 ms. 
+
+some parameters can be changed:
+write_tau(tau: float)       -> time constant
+write_fs(frequency: int)    -> sampling freq
+
+'''
+
+import nsrt_mk3_dev
+import sqlite3
+
+nsrt = nsrt_mk3_dev.NsrtMk3Dev('/dev/ttyACM0')
+
+# Connect to the SQLite database
+conn = sqlite3.connect("/var/www/nebuleair_pro_4g/sqlite/sensors.db")
+cursor = conn.cursor()
+
+#GET RTC TIME from SQlite
+cursor.execute("SELECT * FROM timestamp_table LIMIT 1")
+row = cursor.fetchone()  # Get the first (and only) row
+rtc_time_str = row[1]  # '2025-02-07 12:30:45'
+
+freq_level = nsrt.read_fs()             #current sampling frequency
+time_constant = nsrt.read_tau()         #reads the current time constant
+leq_level = nsrt.read_leq()             #current running LEQ and starts the integration of a new LEQ.
+weighting = nsrt.read_weighting()       #weighting curve that is currently selected
+weighted_level = nsrt.read_level()      #current running level in dB.
+
+#print(f'current sampling freq : {freq_level} Hz')
+#print(f'current time constant : {time_constant} s')
+#print(f'current LEQ level:         {leq_level:0.2f} dB')
+#print(f'{weighting} value:      {weighted_level:0.2f} dBA')
+# Round values to 2 decimal places before saving
+leq_level_rounded = round(leq_level, 2)
+weighted_level_rounded = round(weighted_level, 2)
+
+#save to db
+#save to sqlite database
+try:
+  cursor.execute('''
+  INSERT INTO data_NOISE (timestamp,current_LEQ, DB_A_value) VALUES (?,?,?)'''
+  , (rtc_time_str,leq_level_rounded,weighted_level_rounded))
+
+  # Commit and close the connection
+  conn.commit()
+
+  #print("Sensor data saved successfully!")
+
+except Exception as e:
+  print(f"Database error: {e}")    
+
+
+conn.close()