Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,42 @@
-import altair as alt
-import numpy as np
-import pandas as pd
-import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+import os
+os.environ["STREAMLIT_HOME"] = "/tmp/.streamlit"  # supaya tidak error permission
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+import streamlit as st
+import mysql.connector
+import pandas as pd
+import io
+
+DB_CONFIG = {
+    'host': os.environ.get('DB_HOST'),
+    'user': os.environ.get('DB_USER'),
+    'password': os.environ.get('DB_PASS'),
+    'database': os.environ.get('DB_NAME')
+}
+
+st.title("Download Data Survey Face Wash")
+
+try:
+    conn = mysql.connector.connect(**DB_CONFIG)
+    df = pd.read_sql("SELECT * FROM Kansei", conn)
+    conn.close()
+except Exception as e:
+    st.error(f"Gagal mengambil data dari database: {e}")
+    st.stop()
+
+if df.empty:
+    st.write("Data survey belum tersedia.")
+else:
+    st.write(f"Jumlah data: {len(df)}")
+    st.dataframe(df)
+
+    output = io.BytesIO()
+    with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
+        df.to_excel(writer, index=False, sheet_name='Survey Data')
+    data_excel = output.getvalue()
+
+    st.download_button(
+        label="Download Data Survey (Excel)",
+        data=data_excel,
+        file_name='survey_data.xlsx',
+        mime='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
+    )