Update app.py

app.py

@@ -1,12 +1,52 @@
+
 import streamlit as st
 import pandas as pd
+import requests
+import json
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+st.set_page_config(page_title="PChome 行李箱價格分析", layout="wide")
+st.title("🧳 PChome 行李箱爬蟲與價格分析")
+
+keyword = st.text_input("請輸入要搜尋的商品關鍵字", "行李箱")
+
+if st.button("開始爬蟲"):
+    with st.spinner("正在抓取資料中，請稍候..."):
+        alldata = pd.DataFrame()
+        for i in range(1, 2):  # 可調整頁數
+            url = f'https://ecshweb.pchome.com.tw/search/v3.3/all/results?q={keyword}&page={i}&sort=sale/dc'
+            r = requests.get(url)
+            getdata = json.loads(r.content)
+            df = pd.DataFrame(getdata['prods'])
+            alldata = pd.concat([alldata, df])
+        
+        df = alldata[["name", "price"]]
+        st.success("✅ 抓取完成！")
+
+        st.subheader("📄 前幾筆資料")
+        st.dataframe(df.head(10))
+
+        st.subheader("📊 價格統計")
+        st.write("平均價格:", df['price'].mean())
+        st.write("最高價格:", df['price'].max())
+        st.write("最低價格:", df['price'].min())
 
-st.set_page_config(page_title="PChome 測試", layout="wide")
-st.title("✅ 測試頁面已啟動！")
+        st.subheader("📈 價格前 70 筆折線圖")
+        fig, ax = plt.subplots(figsize=(12, 6))
+        df['price'][:70].plot(ax=ax, marker='o', color='skyblue')
+        ax.axhline(y=df['price'].mean(), color='red', linestyle='--', label='平均價')
+        ax.set_title(f"{keyword} 前 70 筆價格圖")
+        ax.set_xlabel("商品序號")
+        ax.set_ylabel("價格")
+        ax.legend()
+        st.pyplot(fig)
 
-keyword = st.text_input("請輸入關鍵字", "行李箱")
+        st.subheader("📉 價格分布直方圖")
+        fig2, ax2 = plt.subplots(figsize=(12, 6))
+        sns.histplot(df['price'], bins=30, kde=True, ax=ax2)
+        ax2.set_title("價格分佈圖")
+        ax2.set_xlabel("價格")
+        ax2.set_ylabel("商品數量")
+        st.pyplot(fig2)
 
-if st.button("模擬爬蟲按鈕"):
-    with st.spinner("這是模擬的，沒有真的爬蟲！"):
-        df = pd.DataFrame({"商品": ["測試品項A", "測試品項B"], "價格": [1000, 2000]})
-        st.dataframe(df)