Build an GUI Application to Get Live Air Quality Information Using Python.

We are living in a modernization and industrialization era. Our life becomes more and more convenient. But the problem is Air Pollution arise with time. This Pollution makes us unhealthy, Air is a Lifeline for our life.

In this article, we are going to write python scripts to get live air quality information and bind it with GUI Application.

Modules Needed

• bs4: Beautiful Soup(bs4) is a Python library for pulling data out of HTML and XML files. To install this type the command below in the terminal.

pip install bs4

• requests: This allows you to send HTTP/1.1 requests very easily. To install this type the command below in the terminal.

pip install requests 

Approach:

• Extract data form given URL. Copy the URL, after selecting the desired location.
• Scrape the data with the help of requests and Beautiful Soup module.
• Convert that data into HTML code.
• Find the required details and filter them.

Implementation:

Step 1: Import all the modules required

Python3

# import module
import requests
from bs4 import BeautifulSoup

Step 2: Create a URL get function 

Python3

# link to extract html data

def getdata(url):
    r=requests.get(url)
    return r.text

Step 3: Now pass the URL into the getdata function and convert that data into HTML code. The URL used here is “https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1”

Python3

htmldata = getdata(# write the URL )
soup = BeautifulSoup(htmldata, 'html.parser')
result =  soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ")
result

Output:

[<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>67</div>, 
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>22</div>, 
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>13</div>, 
<div class=”styles_N_primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>30</div>, 
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>45</div>, 
<div class=”styles__primaryPollutantGraphNumber__2WgP9″ classname=”styles__primaryPollutantGraphNumber__2WgP9″>479</div>] 

Step 4: Filter your data and Check your Air Quality according to the given data :

Python3

# Traverse the air quality
res_quality = soup.find(class_="DonutChart--innerValue--2rO41 AirQuality--extendedDialText--2AsJa").text

# traverse the content
air_data = soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ")
air_data=[data.text for data in air_data]
print("Air Quality :", res_data)
print("O3 level :", air_data[0])
print("NO2 level :", air_data[1])
print("SO2 level :", air_data[2])
print("PM2.5 level :", air_data[3])
print("PM10 level :", air_data[4])
print("co level :", air_data[5])

Output:

Air Quality : 85
O3 level : 67
NO2 level : 22
SO2 level : 13
PM2.5 level : 30
PM10 level : 45
co level : 479

Step 5: Now Analyze the Air Quality with the given data:

Python3

res = int(res_data)

if res <= 50:
    remark = "Good"
    impact = "Minimal impact"

elif res <= 100 and res > 51:
    remark = "Satisfactory"
    impact = "Minor breathing discomfort to sensitive people"

elif res <= 200 and res >= 101:
    remark = "Moderate"
    impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"

elif res <= 400 and res >= 201:
    remark = "Very Poor"
    impact = "Breathing discomfort to most people on prolonged exposure"

elif res <= 500 and res >= 401:
    remark = "Severe"
    impact = "Affects healthy people and seriously impacts those with existing diseases"

print(remark)
print(impact)

Output:

Satisfactory
Minor breathing discomfort to sensitive people

Application for the live Air Quality information with Tkinter: This Script implements the above Implementation into a GUI.

Python3

from tkinter import *
import requests
from bs4 import BeautifulSoup


# link for extract html data

def getdata(url):
    r = requests.get(url)
    return r.text


def airinfo():
    htmldata = getdata("https://weather.com/en-IN/forecast/air-quality/l/3dbed5c769584b3604a70d40a1a0a9f6ebc99c253d955b548f4978ca101eeca1")
    soup = BeautifulSoup(htmldata, 'html.parser')
    res_data = soup.find(class_="DonutChart--innerValue--2rO41 AirQuality--extendedDialText--2AsJa").text
    air_data = soup.find_all(class_="DonutChart--innerValue--2rO41 AirQuality--pollutantDialText--3Y7DJ")
    air_data=[data.text for data in air_data]


    ar.set(res_data)
    o3.set(air_data[0])
    no2.set(air_data[1])
    so2.set(air_data[2])
    pm.set(air_data[3])
    pml.set(air_data[4])
    co.set(air_data[5])
    res = int(res_data)
    if res <= 50:
        remark = "Good"
        impact = "Minimal impact"
    elif res <= 100 and res > 51:
        remark = "Satisfactory"
        impact = "Minor breathing discomfort to sensitive people"
    elif res <= 200 and res >= 101:
        remark = "Moderate"
        impact = "Breathing discomfort to the people with lungs, asthma and heart diseases"
    elif res <= 400 and res >= 201:
        remark = "Very Poor"
        impact = "Breathing discomfort to most people on prolonged exposure"
    elif res <= 500 and res >= 401:
        remark = "Severe"
        impact = "Affects healthy people and seriously impacts those with existing diseases"
    res_remark.set(remark)
    res_imp.set(impact)


# object of tkinter
# and background set to grey
master = Tk()
master.configure(bg='light grey')

# Variable Classes in tkinter
air_data = StringVar()
ar = StringVar()
o3 = StringVar()
no2 = StringVar()
so2 = StringVar()
pm = StringVar()
pml = StringVar()
co = StringVar()
res_remark = StringVar()
res_imp = StringVar()


# Creating label for each information
# name using widget Label
Label(master, text="Air Quality : ",
      bg="light grey").grid(row=0, sticky=W)
Label(master, text="O3 (μg/m3) :",
      bg="light grey").grid(row=1, sticky=W)
Label(master, text="NO2 (μg/m3) :",
      bg="light grey").grid(row=2, sticky=W)
Label(master, text="SO2 (μg/m3) :",
      bg="light grey").grid(row=3, sticky=W)
Label(master, text="PM2.5 (μg/m3) :",
      bg="light grey").grid(row=4, sticky=W)
Label(master, text="PM10 (μg/m3) :",
      bg="light grey").grid(row=5, sticky=W)
Label(master, text="CO (μg/m3) :",
      bg="light grey").grid(row=6, sticky=W)

Label(master, text="Remark :",
      bg="light grey").grid(row=7, sticky=W)
Label(master, text="Possible Health Impacts :",
      bg="light grey").grid(row=8, sticky=W)


# Creating label for class variable
# name using widget Entry
Label(master, text="", textvariable=ar,
      bg="light grey").grid(
    row=0, column=1, sticky=W)
Label(master, text="", textvariable=o3,
      bg="light grey").grid(
    row=1, column=1, sticky=W)
Label(master, text="", textvariable=no2,
      bg="light grey").grid(
    row=2, column=1, sticky=W)
Label(master, text="", textvariable=so2,
      bg="light grey").grid(
    row=3, column=1, sticky=W)
Label(master, text="", textvariable=pm,
      bg="light grey").grid(
    row=4, column=1, sticky=W)
Label(master, text="", textvariable=pml,
      bg="light grey").grid(
    row=5, column=1, sticky=W)
Label(master, text="", textvariable=co,
      bg="light grey").grid(
    row=6, column=1, sticky=W)
Label(master, text="", textvariable=res_remark,
      bg="light grey").grid(row=7, column=1, sticky=W)
Label(master, text="", textvariable=res_imp,
      bg="light grey").grid(row=8, column=1, sticky=W)


# creating a button using the widget
b = Button(master, text="Check",
           command=airinfo, bg="Blue")
b.grid(row=0, column=2, columnspan=2,
       rowspan=2, padx=5, pady=5,)

mainloop()

Output: