基于python和streamlit实现的便利店商品推荐大屏，针对选择困难症消费者。

import streamlit as st
import pandas as pd
import numpy as np
import altair as alt
from datetime import datetime, timedelta
import time


# 模拟数据生成
def generate_data():
    np.random.seed(42)
    products = ['咖啡+三明治', '泡面+火腿肠', '酸奶+水果盒', '薯片+可乐', '饭团+茶饮',
                '巧克力+能量棒', '冰激凌+饼干', '寿司+味增汤', '沙拉+果汁', '关东煮套餐']
    data = pd.DataFrame({
        '组合名称': products,
        '本周销量': np.random.randint(100, 500, len(products)),
        '总价(元)': [15, 12, 18, 10, 20, 25, 13, 22, 17, 16],
        '场景标签': ['早餐', '宵夜', '健康', '休闲', '午餐', '健身', '零食', '日式', '轻食', '热食'],
        '库存状态': ['充足'] * 8 + ['低库存'] * 2
    })
    return data


# 实时趋势模拟
def realtime_trend():
    timestamps = [datetime.now() - timedelta(hours=i) for i in range(24)]
    return pd.DataFrame({
        '时间': timestamps,
        '销量': np.random.poisson(lam=50, size=24).cumsum()
    })


# 大屏布局
def main():
    st.set_page_config(layout="wide")
    st.title("🏪 购物决策")

    # 数据加载
    data = generate_data()
    trend_data = realtime_trend()

    # 第一行：核心指标
    col1, col2, col3 = st.columns(3)
    with col1:
        st.metric("🔥 今日最热组合", "泡面+火腿肠", "+15%销量增长")
    with col2:
        st.metric("🕒 最佳购买时段", "20:00-22:00", "销量峰值")
    with col3:
        st.metric("📈 实时订单量", np.random.randint(50, 200), "环比+8%")

    # 第二行：主视觉区
    tab1, tab2, tab3 = st.tabs(["TOP10组合", "实时趋势", "场景导航"])

    with tab1:
        # 组合排行榜（带交互）
        c = alt.Chart(data).mark_bar().encode(
            x='本周销量:Q',
            y=alt.Y('组合名称:N', sort='-x'),
            color=alt.Color('总价(元):Q', scale=alt.Scale(scheme='goldred')),
            tooltip=['组合名称', '本周销量', '总价(元)', '库存状态']
        ).properties(height=400)
        st.altair_chart(c, use_container_width=True)

    with tab2:
        # 实时趋势图
        line_chart = alt.Chart(trend_data).mark_line().encode(
            x='时间:T',
            y='销量:Q',
            color=alt.value('#FF6B6B')
        ).properties(height=400)
        st.altair_chart(line_chart, use_container_width=True)

    with tab3:
        # 场景导航按钮
        selected_scene = st.radio("选择消费场景:",
                                  ["早餐", "宵夜", "健康", "全部"],
                                  horizontal=True)
        filtered_data = data[data['场景标签'] == selected_scene] if selected_scene != "全部" else data
        st.write(f"### {selected_scene}推荐组合")
        cols = st.columns(3)
        for idx, (_, row) in enumerate(filtered_data.iterrows()):
            with cols[idx % 3]:
                st.image(f"https://picsum.photos/200/100?random={idx}",
                         use_column_width=True)
                st.caption(f"**{row['组合名称']}**  |  ¥{row['总价(元)']}")
                st.progress(row['本周销量'] / 500, text=f"本周销量 {row['本周销量']}份")

    # 第三行：交互模块
    with st.expander("🎮 组合探索游戏"):
        left, right = st.columns(2)
        with left:
            st.subheader("🔀 随机惊喜生成器")
            if st.button("生成我的幸运组合"):
                combo = np.random.choice(data['组合名称'], 2, replace=False)
                st.success(f"🎉 推荐组合：{combo[0]} + {combo[1]} 立减3元！")

        with right:
            st.subheader("🆚 组合PK投票")
            vote_options = np.random.choice(data['组合名称'], 2, replace=False)
            vote = st.radio("哪个更吸引你?", vote_options)
            st.write(f"当前票数: {np.random.randint(50, 100)} vs {np.random.randint(50, 100)}")


# 运行程序
if __name__ == "__main__":
    main()