添加产品规格文档并优化项目结构

Made-with: Cursor
2026-04-30 18:37:46 +08:00
parent bf2551d529
commit fb309299bf
101 changed files with 9586 additions and 14386 deletions
@@ -0,0 +1,115 @@
+# Tab5：历史记录（从 geo_tool.py 迁移，通过 render_tab_history() 供主入口调用。）
+
+import pandas as pd
+import plotly.express as px
+import streamlit as st
+
+
+def render_tab_history(storage, brand: str) -> None:
+    """渲染 Tab5：历史记录。由主入口在 with tab5 内调用。"""
+    st.header("历史记录")
+
+    # 统计数据
+    try:
+        stats = storage.get_stats(brand)
+        col1, col2, col3, col4 = st.columns(4)
+        col1.metric("关键词总数", stats["keywords_count"])
+        col2.metric("文章总数", stats["articles_count"])
+        col3.metric("优化记录", stats["optimizations_count"])
+        col4.metric("验证结果", stats["verify_results_count"])
+    except Exception as e:
+        st.error(f"获取统计数据失败：{e}")
+        stats = {"keywords_count": 0, "articles_count": 0, "optimizations_count": 0, "verify_results_count": 0}
+
+    st.markdown("---")
+
+    # 历史文章列表
+    st.markdown("#### 历史文章")
+    try:
+        articles = storage.get_articles(brand=brand)
+        if articles:
+            articles_df = pd.DataFrame(articles)
+            # 只显示关键列
+            display_cols = ["keyword", "platform", "created_at"]
+            available_cols = [col for col in display_cols if col in articles_df.columns]
+            if available_cols:
+                st.dataframe(articles_df[available_cols], use_container_width=True, hide_index=True)
+            else:
+                st.dataframe(articles_df, use_container_width=True, hide_index=True)
+
+            # 文章详情查看
+            if len(articles) > 0:
+                selected_idx = st.selectbox("选择文章查看详情", range(len(articles)), format_func=lambda x: f"{articles[x].get('keyword', 'N/A')} - {articles[x].get('platform', 'N/A')}")
+                if selected_idx is not None:
+                    selected_article = articles[selected_idx]
+                    with st.expander("文章内容", expanded=True):
+                        if selected_article.get("content"):
+                            if selected_article.get("platform", "").startswith("GitHub"):
+                                st.code(selected_article["content"], language="markdown")
+                            else:
+                                st.text_area("内容", selected_article["content"], height=400, disabled=True, key=f"article_content_{selected_idx}")
+        else:
+            st.info("暂无历史文章记录。")
+    except Exception as e:
+        st.error(f"获取历史文章失败：{e}")
+
+    st.markdown("---")
+
+    # 历史优化记录
+    st.markdown("#### 历史优化记录")
+    try:
+        optimizations = storage.get_optimizations(brand=brand)
+        if optimizations:
+            opt_df = pd.DataFrame(optimizations)
+            display_cols = ["platform", "created_at"]
+            available_cols = [col for col in display_cols if col in opt_df.columns]
+            if available_cols:
+                st.dataframe(opt_df[available_cols], use_container_width=True, hide_index=True)
+            else:
+                st.dataframe(opt_df.head(10), use_container_width=True, hide_index=True)
+
+            if len(optimizations) > 0:
+                selected_opt_idx = st.selectbox("选择优化记录查看详情", range(len(optimizations)), format_func=lambda x: f"{optimizations[x].get('platform', 'N/A')} - {optimizations[x].get('created_at', 'N/A')[:10] if optimizations[x].get('created_at') else 'N/A'}")
+                if selected_opt_idx is not None:
+                    selected_opt = optimizations[selected_opt_idx]
+                    with st.expander("优化详情", expanded=True):
+                        if selected_opt.get("changes"):
+                            st.markdown("**变更说明**")
+                            st.markdown(selected_opt["changes"])
+                        if selected_opt.get("optimized_content"):
+                            st.markdown("**优化后内容**")
+                            if "GitHub" in selected_opt.get("platform", ""):
+                                st.code(selected_opt["optimized_content"], language="markdown")
+                            else:
+                                st.text_area("内容", selected_opt["optimized_content"], height=300, disabled=True, key=f"opt_content_{selected_opt_idx}")
+        else:
+            st.info("暂无优化记录。")
+    except Exception as e:
+        st.error(f"获取优化记录失败：{e}")
+
+    st.markdown("---")
+
+    # 历史验证结果
+    st.markdown("#### 历史验证结果")
+    try:
+        verify_df = storage.get_verify_results(brand=brand)
+        if not verify_df.empty:
+            st.dataframe(verify_df, use_container_width=True, hide_index=True)
+
+            # 可视化历史验证结果
+            if len(verify_df) > 0:
+                st.markdown("#### 历史验证结果可视化")
+                fig = px.bar(
+                    verify_df,
+                    x="问题",
+                    y="提及次数",
+                    color="品牌",
+                    facet_col="验证模型",
+                    barmode="group",
+                    title="历史验证结果对比",
+                )
+                st.plotly_chart(fig, use_container_width=True)
+        else:
+            st.info("暂无验证结果记录。")
+    except Exception as e:
+        st.error(f"获取验证结果失败：{e}")