hello-world.py

import pandas as pd
import matplotlib.pyplot as plt
import requests
from bs4 import BeautifulSoup

def get_dollar_price_in_iran():
        # Placeholder website URL
    url = "https://irarz.com/"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
            }
    # Make a request to the website
    response = requests.get(url , headers= headers)

    # Check if the request was successful
    if response.status_code == 200:
        # Parse the HTML content of the page
        soup = BeautifulSoup(response.text, 'html.parser')
        # Assuming the prices are in elements with specific IDs or classes
        # You'll need to inspect the website to find the correct selectors
        dollar_price_element = soup.find(id='usdmax')
        
        if dollar_price_element:
            # Extract the prices
            dollar_price = dollar_price_element.text
           
            return dollar_price # all prices are in "Rial"
        else:
            print("Failed to find price elements.")
            return None
    else:
        print("Failed to fetch page. Status code:", response.status_code)
        return None

def analyze_and_visualize(price):
    # For simplicity, we'll use the current date and time for the plot
    from datetime import datetime
    current_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    
    # Convert data to a pandas DataFrame
    df = pd.DataFrame([{'Date': current_date, 'Price': price}])
    
    # Basic visualization
    plt.plot(df['Date'], df['Price'])
    plt.title('Dollar Price in Iran Over Time')
    plt.xlabel('Date')
    plt.ylabel('Price (IRR)')
    plt.show()

def hello_world():
    dollar_price_in_iran = get_dollar_price_in_iran()
    print(f"The current dollar price in Iran is: {dollar_price_in_iran} IRR")
    analyze_and_visualize(dollar_price_in_iran)

hello_world()



# This code does the following:

#     Fetches the current dollar price in Iran using the get_dollar_price_in_iran function.
#     Prints the fetched price.
#     Calls the analyze_and_visualize function to plot the price over time. For simplicity, it uses the current date and time as the date for the plot.

# Please note, the API URL used in the get_dollar_price_in_iran function is just an example. You might need to find a reliable source for real-time dollar prices in Iran, as the availability and accuracy of such data can vary.

# This integration should replace the placeholder "Hello, world!" message with real functionality, fetching and displaying real-time dollar prices in Iran along with a simple plot.