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import requests |
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import pandas as pd |
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import streamlit as st |
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from io import BytesIO |
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from bs4 import BeautifulSoup |
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@st.cache_data(ttl=3600, max_entries=1) |
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def fetch_data(): |
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url = "https://www.ireland.ie/en/india/newdelhi/services/visas/processing-times-and-decisions/" |
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headers = { |
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"User-Agent": ( |
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " |
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"(KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36" |
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) |
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} |
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response = requests.get(url, headers=headers) |
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if response.status_code == 200: |
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soup = BeautifulSoup(response.content, "html.parser") |
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file_url = None |
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links = soup.find_all('a') |
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for link in links: |
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link_text = link.get_text(strip=True) |
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if "Visa decisions made from 1 January 2024 to" in link_text: |
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file_url = link.get('href') |
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break |
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if file_url: |
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if not file_url.startswith('http'): |
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file_url = requests.compat.urljoin(url, file_url) |
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file_response = requests.get(file_url, headers=headers) |
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if file_response.status_code == 200: |
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file_data = BytesIO(file_response.content) |
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df = pd.read_excel(file_data, engine='odf') |
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df.drop(columns=["Unnamed: 0", "Unnamed: 1"], inplace=True, errors='ignore') |
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df.dropna(how='all', inplace=True) |
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df.reset_index(drop=True, inplace=True) |
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df.columns = ['Application Number', 'Decision'] |
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return df |
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else: |
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st.error("Failed to download the file.") |
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else: |
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st.error("The file link was not found on the webpage.") |
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else: |
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st.error("Failed to retrieve the webpage.") |
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return None |
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