Create lit.py

lit.py

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+import requests
+import pandas as pd
+from io import BytesIO
+from bs4 import BeautifulSoup
+import streamlit as st
+
+# Streamlit app title
+st.title("Visa Application Status Checker")
+
+# URL of the website to scrape
+url = "https://www.ireland.ie/en/india/newdelhi/services/visas/processing-times-and-decisions/"
+
+# Headers to mimic a browser request
+headers = {
+    "User-Agent": (
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
+        "(KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36"
+    )
+}
+
+# Step 1: Scrape the website to find the .ods file link
+response = requests.get(url, headers=headers)
+if response.status_code == 200:
+    soup = BeautifulSoup(response.content, 'html.parser')
+    
+    # Find all anchor tags
+    links = soup.find_all('a')
+    
+    # Search for the link containing the specific text
+    file_url = None
+    for link in links:
+        link_text = link.get_text(strip=True)
+        if "Visa decisions made from 1 January 2024 to" in link_text:
+            file_url = link.get('href')
+            break
+    
+    # If the link was found, proceed to download the file
+    if file_url:
+        # Make the link absolute if it is relative
+        if not file_url.startswith('http'):
+            file_url = requests.compat.urljoin(url, file_url)
+        
+        st.write(f"Found visa decision file: [Download Link]({file_url})")
+        
+        # Step 2: Download the .ods file
+        file_response = requests.get(file_url, headers=headers)
+        
+        if file_response.status_code == 200:
+            ods_file = BytesIO(file_response.content)
+            
+            try:
+                # Step 3: Read the .ods file into a DataFrame
+                df = pd.read_excel(ods_file, engine='odf')
+                
+                # Clean up the DataFrame by dropping unnecessary columns
+                df.drop(columns=["Unnamed: 0", "Unnamed: 1"], inplace=True, errors='ignore')
+                
+                # Drop empty rows and reset index
+                df.dropna(how='all', inplace=True)
+                df.reset_index(drop=True, inplace=True)
+                
+                # Identify the header row and reformat DataFrame
+                for idx, row in df.iterrows():
+                    if row['Unnamed: 2'] == 'Application Number' and row['Unnamed: 3'] == 'Decision':
+                        df.columns = ['Application Number', 'Decision']
+                        df = df.iloc[idx + 1:]  # Skip the header row
+                        break
+                
+                # Reset index after cleaning
+                df.reset_index(drop=True, inplace=True)
+                
+                # Convert "Application Number" to string for consistency
+                df['Application Number'] = df['Application Number'].astype(str)
+                
+                # Display the DataFrame in Streamlit
+                st.subheader("Visa Application Decisions")
+                st.dataframe(df)
+                
+                # Step 4: Get user input for application number using Streamlit
+                user_application_number = st.text_input("Enter your Application Number")
+                
+                # Step 5: Check if the application number exists in the DataFrame
+                if user_application_number:
+                    result = df[df['Application Number'] == user_application_number]
+                    
+                    if not result.empty:
+                        st.success(f"Congratulations! Your visa application ({user_application_number}) has been {result.iloc[0]['Decision']}.")
+                    else:
+                        st.error(f"No record found for Application Number: {user_application_number}.")
+            
+            except Exception as e:
+                st.error(f"Error reading the .ods file: {e}")
+        else:
+            st.error(f"Failed to download the file. Status code: {file_response.status_code}")
+    else:
+        st.error("The specified link was not found.")
+else:
+    st.error(f"Failed to retrieve the webpage. Status code: {response.status_code}")