Create app.py

app.py

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+import streamlit as st
+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import time
+
+# Set page title and configuration
+st.set_page_config(
+    page_title="醫院床位狀態查詢",
+    page_icon="🏥",
+    layout="wide"
+)
+
+# Add page header
+st.title("🏥 成大醫院床位狀態查詢")
+st.markdown("這個應用程式顯示成大醫院的即時床位狀態資訊")
+
+# Function to fetch and process data
+@st.cache_data(ttl=300)  # Cache data for 5 minutes
+def fetch_hospital_data():
+    # URL to fetch data from
+    url = "https://web.hosp.ncku.edu.tw/nckm/Bedstatus/BedStatus.aspx"
+    
+    try:
+        # Send GET request to fetch the raw HTML content
+        response = requests.get(url)
+        response.raise_for_status()  # Raise an exception for bad response codes
+        
+        # Parse HTML content
+        soup = BeautifulSoup(response.text, 'html.parser')
+        
+        # Extract the table with the data
+        table = soup.find('table', {'id': 'GV_EmgInsure'})
+        
+        if table:
+            # Extract the header and rows of the table
+            headers = [header.text.strip() for header in table.find_all('th')]
+            rows = table.find_all('tr')[1:]  # Skip the first row (header)
+            
+            # Extract data from each row
+            data = []
+            for row in rows:
+                columns = row.find_all('td')
+                data.append([column.text.strip() for column in columns])
+            
+            # Convert data to pandas DataFrame
+            df = pd.DataFrame(data, columns=headers)
+            return df, None
+        else:
+            return None, "找不到數據表格，網站可能已更改"
+    
+    except requests.exceptions.RequestException as e:
+        return None, f"獲取數據時出錯: {str(e)}"
+    except Exception as e:
+        return None, f"處理數據時出錯: {str(e)}"
+
+# Add refresh button and last update time display
+col1, col2 = st.columns([1, 4])
+with col1:
+    if st.button("刷新數據"):
+        st.cache_data.clear()
+        st.success("數據已刷新!")
+
+# Display the current time
+with col2:
+    st.write(f"最後更新時間: {time.strftime('%Y-%m-%d %H:%M:%S')}")
+
+# Create a spinner while loading data
+with st.spinner("正在獲取最新床位數據..."):
+    df, error = fetch_hospital_data()
+
+# Display error if any
+if error:
+    st.error(error)
+else:
+    # Display dataframe if available
+    if df is not None:
+        # Display summary metrics
+        st.subheader("床位狀態概覽")
+        try:
+            # This assumes there's a column with available beds info
+            # Adjust column names as needed based on actual data
+            if '可用總數' in df.columns:
+                total_available = df['可用總數'].astype(int).sum()
+                st.metric("總可用床位", total_available)
+            
+            # Display the full dataset in a table
+            st.subheader("詳細數據")
+            st.dataframe(df, use_container_width=True)
+            
+            # Add download button
+            csv = df.to_csv(index=False)
+            st.download_button(
+                label="下載CSV檔案",
+                data=csv,
+                file_name="hospital_bed_status.csv",
+                mime="text/csv",
+            )
+        except Exception as e:
+            st.warning(f"處理數據時出錯: {str(e)}")
+    else:
+        st.warning("無法獲取數據，請檢查網絡連接或稍後再試")
+
+# Add footer
+st.markdown("---")
+st.markdown("數據來源: [成大醫院](https://web.hosp.ncku.edu.tw/nckm/Bedstatus/BedStatus.aspx)")
+st.markdown("注意: 此應用程式僅用於演示目的，數據每5分鐘自動更新一次")