74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
import json
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from datetime import datetime
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import numpy as np
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def input_process(data):
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# parse string
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# print(data)
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# print('type' + type(data))
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json_dict = data
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pm25 = json_dict['pm25']
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aqi, aqi_category = get_AQI(pm25)
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json_dict['aqi_value'] = float(aqi)
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json_dict['aqi_category'] = aqi_category
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now = datetime.now()
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timestamp = now.strftime("%Y-%m-%d %H:%M:%S")
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epoch_time = int(now.strftime('%s'))
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json_dict['timestamp'] = timestamp
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json_dict['epoch_time'] = epoch_time
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new_string = json.dumps(json_dict)
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return new_string
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def get_AQI(pm25):
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if pm25 <= 12:
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aqi = (pm25 / 12) * 50
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aqi_category = "Good"
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elif pm25 > 12 and pm25 <= 35.4:
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perc = (pm25 - 12) / (35.4 - 12)
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aqi = (100 - 50) * perc + 50
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aqi_category = "Moderate"
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elif pm25 > 35.4 and pm25 <= 55.4:
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perc = (pm25 - 35.4) / (55.4 - 35.4)
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aqi = (150 - 100) * perc + 100
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aqi_category = "Unhealthy for Sensitive Groups"
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elif pm25 > 55.4 and pm25 <= 150.4:
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perc = (pm25 - 55.4) / (150.4 - 55.4)
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aqi = (200 - 150) * perc + 150
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aqi_category = "Unhealthy"
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elif pm25 > 150.4 and pm25 <= 199.9:
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perc = (pm25 - 150.4) / (199.9 - 150.4)
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aqi = (250 - 200) * perc + 200
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aqi_category = "Very Unhealthy"
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elif pm25 > 199.9 and pm25 <= 250.4:
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perc = (pm25 - 199.9) / (250.4 - 199.9)
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aqi = (300 - 250) * perc + 250
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aqi_category = "Very Unhealthy"
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elif pm25 > 250.4 and pm25 <= 299.9:
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perc = (pm25 - 250.4) / (299.9 - 250.4)
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aqi = (350 - 300) * perc + 300
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aqi_category = "Hazardous"
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elif pm25 > 299.9 and pm25 <= 350.4:
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perc = (pm25 - 299.9) / (350.4 - 299.9)
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aqi = (400 - 350) * perc + 350
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aqi_category = "Hazardous"
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elif pm25 > 350.4 and pm25 <= 424.6:
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perc = (pm25 - 350.4) / (424.6 - 350.4)
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aqi = (450 - 400) * perc + 400
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aqi_category = "Hazardous"
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elif pm25 > 424.6 and pm25 <= 500.4:
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perc = (pm25 - 424.6) / (500.4 - 424.6)
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aqi = (500 - 450) * perc + 450
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aqi_category = "Hazardous"
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elif pm25 > 500.4:
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aqi = pm25
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aqi_category = "Hazardous"
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aqi = np.round_(int(aqi), decimals=0, out=None)
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return aqi, aqi_category
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