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

  • Last Updated : 04 Dec, 2021

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("div", class_="styles__primaryPollutantGraphNumber__2WgP9"))
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
for item in (soup.find_all("div", class_="styles__aqiGraphNumber__2R6Y9")):
    res_data = item.get_text()
 
# traverse the content
data = ''
for item in (soup.find_all("div", class_="styles__primaryPollutantGraphNumber__2WgP9")):
    data += item.get_text()
    data += " "
air_data = data.split(" ")
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




# import modules
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(
    soup = BeautifulSoup(htmldata, 'html.parser')
    
    # Traverse the air quality
    for item in (soup.find_all("div",
                               class_="styles__aqiGraphNumber__2R6Y9")):
        res_data = item.get_text()
 
        # traverse the content
    data = ''
    for item in (soup.find_all("div",
                               class_="styles__primaryPollutantGraphNumber__2WgP9")):
        data += item.get_text()
        data += " "
     
    air_data = data.split(" ")
     
    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:


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