Scripts to collect and process the data from Airly sensors, then prepare report for website and send a notification (via e-mail).

This code will be rewritten, due to safety issues, as of May 30, 2022 Google blocked SMTP mail, which is used here.

In this project I use open data from Airly air sensors to get air quality every hour. Airly lets to use their API to get data 100 times per day. It's necessary to make an account and generate API key for your project. You can read more about this API here.

Below you can read about each one of my small python scripts.

First install all necessary libraries.

import requests, sys, json, os, subprocess
from datetime import datetime

This is the main function and it prepares current date (get_date()), time(get_time()), places informations (places -> dictionary, where key is the name and value is an ID for Airly API) and path to directory to store new data. Then it uses a function get_data(places[place]) for every place to connect with API and download raw data.

def save_data():
    n = datetime.now()
    d = get_date(n)
    t = get_time(n)
    places = {'Lipowa': '11694', 'Cracow': '8973', 'BB': '11214', 'CPH': '86588'}
    path = '/path/to/data/' + d + '/'
    if not os.path.isdir(path):
        subprocess.call(["mkdir", path])
    sys.stdout = open(path + t, 'w')
    for place in places:
        print(place)
        print(get_data(places[place]))
    sys.stdout.close()

To use this script you have to put your apikey in my_headers and add path to your directory for raw data ('/path/to/data/').

import json, typing
import matplotlib.dates as dts
import pandas as pd
import plotly.express as px
from os import walk
from datetime import datetime, date, timedelta

Mikrus: 30 8 * * 1 /usr/bin/python3.8 /path/to/script/send_report.py

RPI-1: 30 * * * * /usr/bin/python /path/to/script/save_data.py

RPI-2: 35 23 * * * date +%F | xargs -I{} scp -P[port] -r /path/to/data/{} [email protected]:/path/to/data/