优化UI模块和资源推荐功能
Made-with: Cursor
This commit is contained in:
刘国栋
+65
-139
@@ -3,93 +3,86 @@
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import streamlit as st
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from modules.resource_recommender import ResourceRecommender
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from modules.ui.components import render_tab_top_with_clear
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def render_tab_resources(storage, brand: str) -> None:
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"""渲染 Tab8：GEO 资源库。由主入口在 with tab8 内调用。"""
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st.markdown("### 📚 GEO 资源库")
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st.caption("发现 GEO 相关工具、代理、论文和社区资源，增强工具生态")
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render_tab_top_with_clear(
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title="📚 GEO 资源库",
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caption="发现 GEO 相关工具、代理、论文和社区资源，增强工具生态",
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clear_key="resources_clear",
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on_clear=lambda: None, # 资源库无需清空
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)
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resource_recommender = ResourceRecommender()
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# 资源统计概览
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summary = resource_recommender.get_resource_summary()
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stat_col1, stat_col2, stat_col3, stat_col4, stat_col5 = st.columns(5)
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with stat_col1:
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st.metric("总资源数", summary['total'])
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with stat_col2:
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st.metric("代理服务", summary['agents'])
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with stat_col3:
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st.metric("工具推荐", summary['tools'])
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with stat_col4:
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st.metric("论文/指南", summary['papers'])
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with stat_col5:
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st.metric("社区资源", summary['communities'])
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st.markdown("---")
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stat_cols = st.columns(5)
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stats = [
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("总资源数", summary['total']),
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("AI 搜索", summary['agents']),
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("工具推荐", summary['tools']),
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("论文指南", summary['papers']),
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("社区资源", summary['communities']),
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]
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for col, (label, value) in zip(stat_cols, stats):
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with col:
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st.metric(label, value)
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# 搜索功能
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search_col1, search_col2 = st.columns([3, 1])
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search_col1, search_col2 = st.columns([4, 1])
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with search_col1:
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search_query = st.text_input(
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"🔍 搜索资源",
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"搜索资源",
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key="resource_search",
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placeholder="输入关键词搜索代理、工具、论文、社区...",
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help="支持搜索资源名称、描述、功能特性等"
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placeholder="🔍 输入关键词搜索资源名称、描述、功能特性...",
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label_visibility="collapsed"
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)
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with search_col2:
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clear_search = st.button("清除搜索", use_container_width=True, key="clear_resource_search")
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if clear_search:
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if st.button("清除", use_container_width=True, key="clear_resource_search"):
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st.session_state.resource_search = ""
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st.rerun()
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# 资源分类标签
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resource_tab1, resource_tab2, resource_tab3, resource_tab4 = st.tabs(["🤖 GEO 代理", "🛠️ 工具推荐", "📄 论文/指南", "👥 社区资源"])
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resource_tab1, resource_tab2, resource_tab3, resource_tab4 = st.tabs([
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"🤖 AI 搜索", "🛠️ 工具推荐", "📄 论文指南", "👥 社区资源"
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])
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# GEO 代理
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# AI 搜索/代理
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with resource_tab1:
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st.markdown("#### 🤖 GEO 代理服务")
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st.caption("专业的 GEO 代理服务，提供高质量的内容生成和优化")
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st.caption("AI 搜索引擎和内容生成服务，用于验证和优化 GEO 效果")
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if search_query:
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agents = resource_recommender.search_resources(search_query, "agents")
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if agents:
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st.info(f"🔍 找到 {len(agents)} 个匹配的代理服务")
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else:
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agents = resource_recommender.get_agents()
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if agents:
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for i, agent in enumerate(agents, 1):
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for agent in agents:
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with st.container(border=True):
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col1, col2 = st.columns([3, 1])
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with col1:
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st.markdown(f"##### {i}. {agent['name']} {agent.get('rating', '')}")
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st.markdown(f"**{agent['name']}** {agent.get('rating', '')}")
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with col2:
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if agent.get('url'):
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st.markdown(f"[🔗 访问]({agent['url']})")
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st.link_button("访问", agent['url'], use_container_width=True)
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st.markdown(f"**{agent['description']}**")
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st.markdown(f"**分类**：{agent.get('category', 'N/A')}")
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st.caption(agent['description'])
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if agent.get('features'):
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st.markdown("**功能特性**：")
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features_text = " | ".join([f"✓ {f}" for f in agent['features']])
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st.markdown(features_text)
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if agent.get('url'):
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st.markdown(f"**链接**：{agent['url']}")
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features_text = " · ".join([f"✓ {f}" for f in agent['features']])
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st.markdown(f"<small>{features_text}</small>", unsafe_allow_html=True)
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else:
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st.info("💡 暂无匹配的代理资源。尝试使用其他关键词搜索。")
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st.info("💡 暂无匹配的资源，尝试其他关键词搜索。")
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# 工具推荐
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with resource_tab2:
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st.markdown("#### 🛠️ 工具推荐")
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st.caption("GEO 相关的工具和服务，帮助优化内容效果")
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if search_query:
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tools = resource_recommender.search_resources(search_query, "tools")
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if tools:
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st.info(f"🔍 找到 {len(tools)} 个匹配的工具")
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else:
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tools = resource_recommender.get_tools()
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@@ -103,144 +96,77 @@ def render_tab_resources(storage, brand: str) -> None:
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categories[cat].append(tool)
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for category, category_tools in categories.items():
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st.markdown(f"##### 📁 {category}")
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for i, tool in enumerate(category_tools, 1):
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st.markdown(f"**{category}**")
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for tool in category_tools:
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with st.container(border=True):
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col1, col2 = st.columns([3, 1])
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with col1:
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st.markdown(f"**{tool['name']}** {tool.get('rating', '')}")
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with col2:
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if tool.get('url'):
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st.markdown(f"[🔗 访问]({tool['url']})")
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st.link_button("访问", tool['url'], use_container_width=True)
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st.markdown(f"*{tool['description']}*")
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st.caption(tool['description'])
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if tool.get('features'):
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st.markdown("**功能**：")
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features_text = " | ".join([f"✓ {f}" for f in tool['features']])
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st.markdown(features_text)
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if tool.get('url'):
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st.markdown(f"**链接**：{tool['url']}")
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features_text = " · ".join([f"✓ {f}" for f in tool['features']])
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st.markdown(f"<small>{features_text}</small>", unsafe_allow_html=True)
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else:
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st.info("💡 暂无匹配的工具资源。尝试使用其他关键词搜索。")
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st.info("💡 暂无匹配的工具，尝试其他关键词搜索。")
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# 论文/指南
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with resource_tab3:
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st.markdown("#### 📄 论文/指南")
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st.caption("GEO 相关的论文、指南、文档，深入学习 GEO 策略")
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if search_query:
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papers = resource_recommender.search_resources(search_query, "papers")
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if papers:
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st.info(f"🔍 找到 {len(papers)} 个匹配的论文/指南")
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else:
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papers = resource_recommender.get_papers()
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if papers:
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# 按重要性排序
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# 按重要性分组显示
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importance_order = {"高": 3, "中": 2, "低": 1}
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papers_sorted = sorted(papers, key=lambda x: importance_order.get(x.get('importance', '低'), 1), reverse=True)
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# 按重要性分组显示
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high_importance = [p for p in papers_sorted if p.get('importance') == '高']
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medium_importance = [p for p in papers_sorted if p.get('importance') == '中']
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low_importance = [p for p in papers_sorted if p.get('importance') == '低']
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importance_groups = {
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"🔥 必读": [p for p in papers_sorted if p.get('importance') == '高'],
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"⭐ 推荐": [p for p in papers_sorted if p.get('importance') == '中'],
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}
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if high_importance:
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st.markdown("##### 🔥 高重要性（必读）")
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for paper in high_importance:
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with st.container(border=True):
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st.markdown(f"**🔥 {paper['title']}**")
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st.markdown(f"*{paper['description']}*")
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st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}")
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if paper.get('url'):
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st.markdown(f"🔗 [{paper['url']}]({paper['url']})")
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if medium_importance:
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st.markdown("##### ⭐ 中重要性（推荐阅读）")
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for paper in medium_importance:
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with st.container(border=True):
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st.markdown(f"**⭐ {paper['title']}**")
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st.markdown(f"*{paper['description']}*")
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st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}")
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if paper.get('url'):
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st.markdown(f"🔗 [{paper['url']}]({paper['url']})")
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if low_importance:
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st.markdown("##### 📌 低重要性（参考阅读）")
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for paper in low_importance:
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with st.container(border=True):
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st.markdown(f"**📌 {paper['title']}**")
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st.markdown(f"*{paper['description']}*")
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st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}")
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if paper.get('url'):
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st.markdown(f"🔗 [{paper['url']}]({paper['url']})")
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for group_name, group_papers in importance_groups.items():
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if group_papers:
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st.markdown(f"**{group_name}**")
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for paper in group_papers:
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with st.container(border=True):
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st.markdown(f"**{paper['title']}**")
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st.caption(paper['description'])
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meta = f"分类：{paper.get('category', 'N/A')} · 日期：{paper.get('date', 'N/A')}"
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st.markdown(f"<small>{meta}</small>", unsafe_allow_html=True)
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if paper.get('url'):
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st.link_button("查看", paper['url'], use_container_width=True)
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else:
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st.info("💡 暂无匹配的论文/指南资源。尝试使用其他关键词搜索。")
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st.info("💡 暂无匹配的论文/指南，尝试其他关键词搜索。")
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# 社区资源
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with resource_tab4:
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st.markdown("#### 👥 社区资源")
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st.caption("GEO 相关的社区和论坛，与其他用户交流经验")
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if search_query:
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communities = resource_recommender.search_resources(search_query, "communities")
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if communities:
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st.info(f"🔍 找到 {len(communities)} 个匹配的社区")
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else:
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communities = resource_recommender.get_communities()
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if communities:
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for i, community in enumerate(communities, 1):
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for community in communities:
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with st.container(border=True):
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col1, col2 = st.columns([3, 1])
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with col1:
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st.markdown(f"##### {i}. {community['name']} {community.get('rating', '')}")
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st.markdown(f"**{community['name']}** {community.get('rating', '')}")
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with col2:
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if community.get('url'):
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st.markdown(f"[🔗 访问]({community['url']})")
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st.link_button("访问", community['url'], use_container_width=True)
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st.markdown(f"*{community['description']}*")
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st.markdown(f"**分类**：{community.get('category', 'N/A')}")
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if community.get('url'):
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st.markdown(f"**链接**：{community['url']}")
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st.caption(community['description'])
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st.markdown(f"<small>分类：{community.get('category', 'N/A')}</small>", unsafe_allow_html=True)
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else:
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st.info("💡 暂无匹配的社区资源。尝试使用其他关键词搜索。")
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# 搜索结果显示（跨分类）
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if search_query:
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all_results = resource_recommender.search_resources(search_query)
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if all_results:
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st.markdown("---")
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st.markdown("#### 🔍 搜索结果汇总")
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st.info(f"共找到 {len(all_results)} 个匹配资源（跨所有分类）")
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# 按类型分组显示
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results_by_type = {}
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for result in all_results:
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res_type = result.get('type', 'unknown')
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if res_type not in results_by_type:
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results_by_type[res_type] = []
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results_by_type[res_type].append(result)
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type_names = {
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'agent': '🤖 代理服务',
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'tool': '🛠️ 工具',
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'paper': '📄 论文/指南',
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'community': '👥 社区'
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}
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for res_type, results in results_by_type.items():
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if results:
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st.markdown(f"##### {type_names.get(res_type, res_type)} ({len(results)} 个)")
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for result in results:
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with st.container(border=True):
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name_key = 'name' if 'name' in result else 'title'
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st.markdown(f"**{result.get(name_key, 'N/A')}**")
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st.caption(result.get('description', ''))
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if result.get('url'):
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st.markdown(f"🔗 [{result['url']}]({result['url']})")
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# =======================
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st.info("💡 暂无匹配的社区资源，尝试其他关键词搜索。")
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