Dateien nach "/" hochladen

berry_yogurt_4_05.py

@@ -0,0 +1,80 @@
+from gpiozero import Button, LED                                                            # Import libraries
+from time import sleep
+from signal import pause
+from datetime import datetime, timedelta
+from pathlib import Path
+import pandas as pd
+import schedule
+
+best_before_exeeded = timedelta(seconds=18)                                                 # Define thresholds
+overdue = timedelta(seconds=30)
+
+consumption_overview = []                                                                   # Key variables
+current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+infrared_sensor = Button(2)                                                                 # GPIO pins of external hardware
+orange_led = LED(4)
+red_led = LED(17)
+
+def on_a_sensor_signal():                                                                   # On a signal: update  list, save csv and turn off led (if necessary)
+    current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    if len(consumption_overview) == 0 or consumption_overview[-1]['Status'] == 'Yogurt eaten up':
+        new_status = "Yogurt open"
+        passed_time = "pending"
+        consumption_overview.append({'Status':new_status, 'Time':current_time, 'Consumed In':passed_time})
+    else:
+        new_status = "Yogurt eaten up"
+
+        if len(consumption_overview) > 0 and consumption_overview[-1]['Status'] == 'Yogurt open':
+            opening_time_str = consumption_overview[-1]['Time']    
+        else:
+            opening_time_str = current_time
+
+        opening_time = datetime.strptime(opening_time_str, '%Y-%m-%d %H:%M:%S')
+        now = datetime.strptime(current_time, '%Y-%m-%d %H:%M:%S')
+        time_difference = now - opening_time
+        
+        consumption_overview.append({'Status':new_status, 'Time':current_time, 'Consumed In':str(time_difference)})
+    print(consumption_overview[-1])
+    
+    if len(consumption_overview) > 0 and consumption_overview[-1]['Status'] == 'Yogurt eaten up':
+        orange_led.off()
+        print("orange led pin 4 turned off")
+        red_led.off()
+        print("red led pin 17 turned off")
+        df = pd.DataFrame(consumption_overview)
+        currentDateTime = datetime.now().strftime("%Y%m%d_%H%M%S")
+        df.to_csv(f"Raspberry Yogurt_{currentDateTime}.csv", index=False)
+        print("CSV file saved")
+
+def check():                                                                                # Runs periodically the led_check as long as ayogurth is open
+    schedule.every(6).seconds.do(led_check)
+    
+    while not infrared_sensor.is_active and consumption_overview[-1]['Status'] == 'Yogurt open':
+        schedule.run_pending()
+
+def led_check():                                                                            # Checks if an led needs to be turend on
+    current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    if len(consumption_overview) > 0 and consumption_overview[-1]['Status'] == 'Yogurt open':
+        opening_time_str = consumption_overview[-1]['Time']    
+    else:
+        opening_time_str = current_time
+        
+    opening_time = datetime.strptime(opening_time_str, '%Y-%m-%d %H:%M:%S')
+    now = datetime.strptime(current_time, '%Y-%m-%d %H:%M:%S')
+    time_difference = now - opening_time
+    print("open since", time_difference)
+
+    if overdue > time_difference >= best_before_exeeded:
+        orange_led.on()
+        print("ORANGE LED ON", "open since", time_difference)
+    elif time_difference >= overdue:
+        orange_led.off()
+        print("orange led off")
+        red_led.on()
+        print("RED LED ON", "open since", time_difference)
+
+while True:                                                                                 # Keeps the program running to listen for sensor events
+    infrared_sensor.when_pressed = on_a_sensor_signal
+    infrared_sensor.when_released = check
+    pause()