From 42f5e3a37f775d19f13cd568ae074fec228c7b5f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9E=97=E5=98=89=E7=83=A8?= Date: Fri, 16 Jan 2026 19:34:15 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=20streamlit=5Fapp.py?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- streamlit_app.py | 152 ----------------------------------------------- 1 file changed, 152 deletions(-) delete mode 100644 streamlit_app.py diff --git a/streamlit_app.py b/streamlit_app.py deleted file mode 100644 index 037386f..0000000 --- a/streamlit_app.py +++ /dev/null @@ -1,152 +0,0 @@ -import streamlit as st -import pandas as pd -import joblib -import os -import sys - -# 添加项目根目录到 Path 以便导入 src -sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) - -from src.agent_app import MarketingAgent, CustomerFeatures - -# 配置页面 -st.set_page_config( - page_title="智能银行营销助手", - page_icon="🤖", - layout="wide" -) - -# 侧边栏：项目信息 -with st.sidebar: - st.title("🏦 智能营销系统") - st.markdown("---") - st.info("**Day 5 演示版**") - st.markdown(""" - **核心能力：** - 1. 📊 **LightGBM** 客户购买预测 - 2. 🧠 **Agent** 策略生成 - 3. 📝 **Pydantic** 结构化输出 - """) - st.markdown("---") - st.caption("由第 X 组开发") - -# 主界面 -st.title("🤖 客户意向预测与决策系统") - -# 1. 模拟客户输入 -st.header("1. 录入客户信息") - -col1, col2, col3 = st.columns(3) - -# 映射字典 -job_map = { - "management": "管理人员", "technician": "技术人员", "entrepreneur": "企业家", - "blue-collar": "蓝领", "unknown": "未知", "retired": "退休人员", - "admin.": "行政人员", "services": "服务业", "self-employed": "自雇人士", - "unemployed": "失业", "maid": "家政", "student": "学生" -} -education_map = {"tertiary": "高等教育", "secondary": "中等教育", "primary": "初等教育", "unknown": "未知"} -marital_map = {"married": "已婚", "single": "单身", "divorced": "离异"} -binary_map = {"yes": "是", "no": "否"} -contact_map = {"cellular": "手机", "telephone": "座机", "unknown": "未知"} -month_map = { - "jan": "1月", "feb": "2月", "mar": "3月", "apr": "4月", "may": "5月", "jun": "6月", - "jul": "7月", "aug": "8月", "sep": "9月", "oct": "10月", "nov": "11月", "dec": "12月" -} -poutcome_map = {"unknown": "未知", "failure": "失败", "other": "其他", "success": "成功"} - -# 辅助函数：反向查找 key -def get_key(val, my_dict): - for key, value in my_dict.items(): - if val == value: return key - return val - -with col1: - age = st.number_input("年龄", 18, 100, 30) - job_display = st.selectbox("职业", list(job_map.values())) - job = get_key(job_display, job_map) - - education_display = st.selectbox("教育", list(education_map.values())) - education = get_key(education_display, education_map) - - balance = st.number_input("账户余额 (欧元)", -1000, 100000, 1500) - -with col2: - marital_display = st.selectbox("婚姻", list(marital_map.values())) - marital = get_key(marital_display, marital_map) - - housing_display = st.selectbox("是否有房贷", list(binary_map.values())) - housing = get_key(housing_display, binary_map) - - loan_display = st.selectbox("是否有个人贷", list(binary_map.values())) - loan = get_key(loan_display, binary_map) - - default_display = st.selectbox("是否有违约记录", list(binary_map.values())) - default = get_key(default_display, binary_map) - -with col3: - contact_display = st.selectbox("联系方式", list(contact_map.values())) - contact = get_key(contact_display, contact_map) - - month_display = st.selectbox("最后联系月份", list(month_map.values())) - month = get_key(month_display, month_map) - - day = st.slider("最后联系日", 1, 31, 15) - - poutcome_display = st.selectbox("上次活动结果", list(poutcome_map.values())) - poutcome = get_key(poutcome_display, poutcome_map) - -# 隐藏的高级特征 -with st.expander("高级营销特征 (可选)"): - campaign = st.number_input("本次活动联系次数", 1, 50, 1) - pdays = st.number_input("距离上次联系天数 (-1代表无)", -1, 999, -1) - previous = st.number_input("活动前联系次数", 0, 100, 0) - -# 2. 触发 Agent -if st.button("🚀 开始分析与决策", type="primary"): - try: - # 构造 Pydantic 对象 - customer = CustomerFeatures( - age=age, job=job, marital=marital, education=education, - default=default, balance=balance, housing=housing, loan=loan, - contact=contact, day=day, month=month, - campaign=campaign, pdays=pdays, previous=previous, poutcome=poutcome - ) - - # 初始化 Agent - with st.spinner("Agent 正在加载模型并思考..."): - agent = MarketingAgent() - decision = agent.run(customer) - - # 3. 展示结果 - st.divider() - st.header("2. 智能分析报告") - - # 结果看板 - res_col1, res_col2 = st.columns([1, 2]) - - with res_col1: - st.metric("预测购买概率", f"{decision.risk_score:.1%}") - if decision.risk_score > 0.6: - st.success(f"分群：{decision.customer_segment}") - elif decision.risk_score > 0.3: - st.warning(f"分群：{decision.customer_segment}") - else: - st.error(f"分群：{decision.customer_segment}") - - with res_col2: - st.subheader("💡 决策建议") - st.info(decision.decision) - st.markdown(f"**决策依据：** {decision.rationale}") - - # 行动清单 - st.subheader("📝 执行清单") - for i, action in enumerate(decision.actions, 1): - st.write(f"{i}. {action}") - - # JSON 视图 - with st.expander("查看原始 JSON 输出 (Traceable)"): - st.json(decision.model_dump()) - - except Exception as e: - st.error(f"发生错误: {str(e)}")