# Tab8：GEO 资源库（从 geo_tool.py 迁移，通过 render_tab_resources() 供主入口调用。） import streamlit as st from modules.resource_recommender import ResourceRecommender def render_tab_resources(storage, brand: str) -> None: """渲染 Tab8：GEO 资源库。由主入口在 with tab8 内调用。""" st.markdown("### 📚 GEO 资源库") st.caption("发现 GEO 相关工具、代理、论文和社区资源，增强工具生态") resource_recommender = ResourceRecommender() # 资源统计概览 summary = resource_recommender.get_resource_summary() stat_col1, stat_col2, stat_col3, stat_col4, stat_col5 = st.columns(5) with stat_col1: st.metric("总资源数", summary['total']) with stat_col2: st.metric("代理服务", summary['agents']) with stat_col3: st.metric("工具推荐", summary['tools']) with stat_col4: st.metric("论文/指南", summary['papers']) with stat_col5: st.metric("社区资源", summary['communities']) st.markdown("---") # 搜索功能 search_col1, search_col2 = st.columns([3, 1]) with search_col1: search_query = st.text_input( "🔍 搜索资源", key="resource_search", placeholder="输入关键词搜索代理、工具、论文、社区...", help="支持搜索资源名称、描述、功能特性等" ) with search_col2: clear_search = st.button("清除搜索", use_container_width=True, key="clear_resource_search") if clear_search: st.session_state.resource_search = "" st.rerun() # 资源分类标签 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"]) # GEO 代理 with resource_tab1: st.markdown("#### 🤖 GEO 代理服务") st.caption("专业的 GEO 代理服务，提供高质量的内容生成和优化") if search_query: agents = resource_recommender.search_resources(search_query, "agents") if agents: st.info(f"🔍 找到 {len(agents)} 个匹配的代理服务") else: agents = resource_recommender.get_agents() if agents: for i, agent in enumerate(agents, 1): with st.container(border=True): col1, col2 = st.columns([3, 1]) with col1: st.markdown(f"##### {i}. {agent['name']} {agent.get('rating', '')}") with col2: if agent.get('url'): st.markdown(f"[🔗 访问]({agent['url']})") st.markdown(f"**{agent['description']}**") st.markdown(f"**分类**：{agent.get('category', 'N/A')}") if agent.get('features'): st.markdown("**功能特性**：") features_text = " | ".join([f"✓ {f}" for f in agent['features']]) st.markdown(features_text) if agent.get('url'): st.markdown(f"**链接**：{agent['url']}") else: st.info("💡 暂无匹配的代理资源。尝试使用其他关键词搜索。") # 工具推荐 with resource_tab2: st.markdown("#### 🛠️ 工具推荐") st.caption("GEO 相关的工具和服务，帮助优化内容效果") if search_query: tools = resource_recommender.search_resources(search_query, "tools") if tools: st.info(f"🔍 找到 {len(tools)} 个匹配的工具") else: tools = resource_recommender.get_tools() if tools: # 按分类分组显示 categories = {} for tool in tools: cat = tool.get('category', '其他') if cat not in categories: categories[cat] = [] categories[cat].append(tool) for category, category_tools in categories.items(): st.markdown(f"##### 📁 {category}") for i, tool in enumerate(category_tools, 1): with st.container(border=True): col1, col2 = st.columns([3, 1]) with col1: st.markdown(f"**{tool['name']}** {tool.get('rating', '')}") with col2: if tool.get('url'): st.markdown(f"[🔗 访问]({tool['url']})") st.markdown(f"*{tool['description']}*") if tool.get('features'): st.markdown("**功能**：") features_text = " | ".join([f"✓ {f}" for f in tool['features']]) st.markdown(features_text) if tool.get('url'): st.markdown(f"**链接**：{tool['url']}") else: st.info("💡 暂无匹配的工具资源。尝试使用其他关键词搜索。") # 论文/指南 with resource_tab3: st.markdown("#### 📄 论文/指南") st.caption("GEO 相关的论文、指南、文档，深入学习 GEO 策略") if search_query: papers = resource_recommender.search_resources(search_query, "papers") if papers: st.info(f"🔍 找到 {len(papers)} 个匹配的论文/指南") else: papers = resource_recommender.get_papers() if papers: # 按重要性排序 importance_order = {"高": 3, "中": 2, "低": 1} papers_sorted = sorted(papers, key=lambda x: importance_order.get(x.get('importance', '低'), 1), reverse=True) # 按重要性分组显示 high_importance = [p for p in papers_sorted if p.get('importance') == '高'] medium_importance = [p for p in papers_sorted if p.get('importance') == '中'] low_importance = [p for p in papers_sorted if p.get('importance') == '低'] if high_importance: st.markdown("##### 🔥 高重要性（必读）") for paper in high_importance: with st.container(border=True): st.markdown(f"**🔥 {paper['title']}**") st.markdown(f"*{paper['description']}*") st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}") if paper.get('url'): st.markdown(f"🔗 [{paper['url']}]({paper['url']})") if medium_importance: st.markdown("##### ⭐ 中重要性（推荐阅读）") for paper in medium_importance: with st.container(border=True): st.markdown(f"**⭐ {paper['title']}**") st.markdown(f"*{paper['description']}*") st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}") if paper.get('url'): st.markdown(f"🔗 [{paper['url']}]({paper['url']})") if low_importance: st.markdown("##### 📌 低重要性（参考阅读）") for paper in low_importance: with st.container(border=True): st.markdown(f"**📌 {paper['title']}**") st.markdown(f"*{paper['description']}*") st.markdown(f"**分类**：{paper.get('category', 'N/A')} | **日期**：{paper.get('date', 'N/A')}") if paper.get('url'): st.markdown(f"🔗 [{paper['url']}]({paper['url']})") else: st.info("💡 暂无匹配的论文/指南资源。尝试使用其他关键词搜索。") # 社区资源 with resource_tab4: st.markdown("#### 👥 社区资源") st.caption("GEO 相关的社区和论坛，与其他用户交流经验") if search_query: communities = resource_recommender.search_resources(search_query, "communities") if communities: st.info(f"🔍 找到 {len(communities)} 个匹配的社区") else: communities = resource_recommender.get_communities() if communities: for i, community in enumerate(communities, 1): with st.container(border=True): col1, col2 = st.columns([3, 1]) with col1: st.markdown(f"##### {i}. {community['name']} {community.get('rating', '')}") with col2: if community.get('url'): st.markdown(f"[🔗 访问]({community['url']})") st.markdown(f"*{community['description']}*") st.markdown(f"**分类**：{community.get('category', 'N/A')}") if community.get('url'): st.markdown(f"**链接**：{community['url']}") else: st.info("💡 暂无匹配的社区资源。尝试使用其他关键词搜索。") # 搜索结果显示（跨分类） if search_query: all_results = resource_recommender.search_resources(search_query) if all_results: st.markdown("---") st.markdown("#### 🔍 搜索结果汇总") st.info(f"共找到 {len(all_results)} 个匹配资源（跨所有分类）") # 按类型分组显示 results_by_type = {} for result in all_results: res_type = result.get('type', 'unknown') if res_type not in results_by_type: results_by_type[res_type] = [] results_by_type[res_type].append(result) type_names = { 'agent': '🤖 代理服务', 'tool': '🛠️ 工具', 'paper': '📄 论文/指南', 'community': '👥 社区' } for res_type, results in results_by_type.items(): if results: st.markdown(f"##### {type_names.get(res_type, res_type)} ({len(results)} 个)") for result in results: with st.container(border=True): name_key = 'name' if 'name' in result else 'title' st.markdown(f"**{result.get(name_key, 'N/A')}**") st.caption(result.get('description', '')) if result.get('url'): st.markdown(f"🔗 [{result['url']}]({result['url']})") # =======================