2026-04-30 18:37:46 +08:00
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# Tab10：配置优化助手（从 geo_tool.py 迁移，通过 render_tab_config_optimizer() 供主入口调用。）
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import hashlib
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import streamlit as st
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from modules.config_optimizer import ConfigOptimizer
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def render_tab_config_optimizer(
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storage,
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cfg: dict,
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brand: str,
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advantages: str,
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competitor_list: list,
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build_llm,
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model_defaults,
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) -> None:
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"""渲染 Tab10：配置优化助手。由主入口在 with tab10 内调用。"""
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# 配置优化助手（与其他Tab保持一致的标题格式）
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st.markdown("### 🎯 配置优化助手")
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st.caption("分析品牌名和优势是否 GEO 友好，提供优化建议。优化后可一键应用到全局配置。")
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# 初始化优化结果存储
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if "config_optimization_result" not in st.session_state:
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st.session_state.config_optimization_result = None
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# 初始化配置hash（用于检测配置变化）
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if "config_hash" not in st.session_state:
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st.session_state.config_hash = None
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# 计算当前配置的hash（使用cfg中的最新值）
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brand_for_hash = cfg.get("brand", "").strip() or brand or ""
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advantages_for_hash = cfg.get("advantages", "").strip() or advantages or ""
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current_config_str = f"{brand_for_hash}|{advantages_for_hash}|{cfg.get('competitors', '')}"
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current_config_hash = hashlib.md5(current_config_str.encode()).hexdigest()
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# 如果配置变化了，清除旧的优化结果
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# 但如果是因为应用版本导致的配置变化，保留优化结果
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if st.session_state.config_hash != current_config_hash:
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# 检查是否是应用版本导致的配置变化
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if not st.session_state.get("_applying_version", False):
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st.session_state.config_optimization_result = None
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st.session_state.config_hash = current_config_hash
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# 清除应用版本标志
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st.session_state["_applying_version"] = False
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# 检查配置是否有效
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if not st.session_state.cfg_valid:
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st.warning("⚠️ 请先在侧边栏完成配置并点击'应用配置'")
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st.info("配置优化助手需要有效的配置才能进行分析。")
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else:
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# 显示当前配置
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with st.expander("📋 当前配置", expanded=False):
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col1, col2 = st.columns(2)
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with col1:
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brand_display = cfg.get("brand", "") or brand or "未设置"
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st.markdown(f"**品牌名**：{brand_display}")
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with col2:
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st.markdown(f"**竞品数量**：{len(competitor_list)}个")
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advantages_display = cfg.get("advantages", "") or advantages or "未设置"
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st.markdown(f"**核心优势**：{advantages_display}")
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if competitor_list:
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st.markdown(f"**竞品列表**：{', '.join(competitor_list[:5])}{'...' if len(competitor_list) > 5 else ''}")
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# 分析按钮
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2026-04-30 23:35:06 +08:00
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col1, col2 = st.columns([1, 1])
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2026-04-30 18:37:46 +08:00
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with col1:
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analyze_btn = st.button("🔍 分析配置优化", type="primary", use_container_width=True, key="tab10_optimize_config")
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with col2:
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if st.session_state.config_optimization_result:
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2026-04-30 23:35:06 +08:00
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st.success("✅ 已有优化结果")
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2026-04-30 18:37:46 +08:00
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# 执行分析
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if analyze_btn:
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with st.spinner("正在分析配置，优化建议生成中..."):
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try:
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optimizer = ConfigOptimizer()
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# 从配置中获取品牌名、优势描述和竞品列表（确保使用最新配置）
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brand_for_optimizer = cfg.get("brand", "").strip() or brand or ""
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advantages_for_optimizer = cfg.get("advantages", "").strip() or advantages or ""
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competitors_str = cfg.get("competitors", "")
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competitor_list_for_optimizer = [c.strip() for c in competitors_str.split("\n") if c.strip()]
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# 验证必要配置
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if not brand_for_optimizer:
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st.error("❌ 品牌名不能为空，请在侧边栏配置主品牌名称")
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st.stop()
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if not advantages_for_optimizer:
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st.warning("⚠️ 优势描述为空，建议在侧边栏配置核心优势/卖点")
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# 临时构建LLM用于分析（使用当前配置）
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temp_llm = build_llm(
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cfg["gen_provider"],
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cfg["gen_api_key"],
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model_defaults(cfg["gen_provider"]),
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float(cfg.get("temperature", 0.7))
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)
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result = optimizer.optimize_config(
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brand=brand_for_optimizer,
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advantages=advantages_for_optimizer,
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competitors=competitor_list_for_optimizer,
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llm_chain=temp_llm
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)
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st.session_state.config_optimization_result = result
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st.session_state.config_hash = current_config_hash
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st.success("✅ 配置分析完成！")
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st.rerun()
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except Exception as e:
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st.error(f"❌ 配置优化分析失败：{e}")
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import traceback
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with st.expander("查看错误详情"):
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st.code(traceback.format_exc())
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st.session_state.config_optimization_result = None
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# 显示优化结果
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if st.session_state.config_optimization_result:
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result = st.session_state.config_optimization_result
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if result.get("success", False):
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st.markdown("---")
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st.markdown("#### 📊 优化分析结果")
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# 评估总结
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if result.get("summary"):
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st.markdown("**📝 评估总结**")
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st.info(result["summary"])
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# 优化建议
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if result.get("suggestions"):
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st.markdown("**💡 优化建议**")
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suggestions = result["suggestions"]
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if suggestions.get("brand", {}).get("problem"):
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st.markdown("**🔸 品牌名问题**：")
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# 直接使用st.markdown渲染，CSS会限制标题大小
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problem_text = suggestions["brand"]["problem"]
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st.markdown(problem_text)
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if suggestions["brand"].get("suggestion"):
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st.markdown("**✅ 建议**：")
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suggestion_text = suggestions["brand"]["suggestion"]
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st.markdown(suggestion_text)
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if suggestions.get("advantages", {}).get("problem"):
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st.markdown("**🔸 优势描述问题**：")
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problem_text = suggestions["advantages"]["problem"]
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st.markdown(problem_text)
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if suggestions["advantages"].get("suggestion"):
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st.markdown("**✅ 建议**：")
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suggestion_text = suggestions["advantages"]["suggestion"]
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st.markdown(suggestion_text)
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# 推荐版本
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recommended_versions = result.get("recommended_versions", [])
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if recommended_versions:
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st.markdown("**🎯 推荐版本**")
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st.caption("选择最适合的版本，点击「应用版本」按钮即可更新配置")
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# 检查是否有有效的推荐版本
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valid_versions = [v for v in recommended_versions if v.get("brand") or v.get("advantages")]
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if not valid_versions:
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st.warning("⚠️ 推荐版本数据为空，可能是解析失败。请查看完整报告或重新分析。")
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if result.get("raw_result"):
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with st.expander("查看原始输出中的推荐版本部分"):
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raw = result["raw_result"]
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if "【推荐版本】" in raw:
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raw_versions = raw.split("【推荐版本】")[1].split("【")[0]
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st.code(raw_versions)
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for i, version in enumerate(recommended_versions[:3], 1):
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version_name_map = {
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1: "保守优化",
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2: "平衡优化",
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3: "激进优化"
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}
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version_name = version_name_map.get(i, f"版本{i}")
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with st.expander(f"版本{i}：{version_name}", expanded=False): # 默认不展开，用户自行选择
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# 检查版本数据是否有效
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has_brand = bool(version.get("brand", "").strip())
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has_advantages = bool(version.get("advantages", "").strip())
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has_reason = bool(version.get("reason", "").strip())
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if not has_brand and not has_advantages:
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st.warning("⚠️ 该版本数据不完整，请查看完整报告或重新分析")
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if result.get("raw_result"):
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with st.expander("查看原始输出中的该版本"):
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# 尝试从原始输出中提取
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raw = result["raw_result"]
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if f"版本{i}" in raw:
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version_raw = raw.split(f"版本{i}")[1]
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if i < 3:
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next_version = f"版本{i+1}"
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if next_version in version_raw:
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version_raw = version_raw.split(next_version)[0]
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st.code(version_raw[:500]) # 显示前500字符
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else:
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col1, col2 = st.columns([2, 1])
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with col1:
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if has_brand:
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st.markdown(f"**品牌名**：`{version['brand']}`")
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else:
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st.warning("⚠️ 品牌名为空")
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if has_advantages:
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st.markdown(f"**优势描述**：{version['advantages']}")
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else:
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st.warning("⚠️ 优势描述为空")
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if has_reason:
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st.caption(f"💭 理由：{version['reason']}")
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else:
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st.caption("💭 理由：未提供")
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with col2:
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# 应用按钮
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apply_disabled = not (has_brand and has_advantages)
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if st.button(
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f"✅ 应用版本{i}",
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key=f"tab10_apply_version_{i}",
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use_container_width=True,
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type="primary",
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disabled=apply_disabled
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):
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if has_brand and has_advantages:
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# 设置标志，表示正在应用版本（防止优化结果被清除）
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st.session_state["_applying_version"] = True
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# 更新配置
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st.session_state.cfg["brand"] = version["brand"]
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st.session_state.cfg["advantages"] = version["advantages"]
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# 设置标志，表示需要更新侧边栏输入框
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st.session_state["_pending_brand_update"] = version["brand"]
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st.session_state["_pending_advantages_update"] = version["advantages"]
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st.session_state.cfg_applied = False # 需要重新应用配置
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st.success(f"✅ 已应用版本{i}，侧边栏已更新，请点击'应用配置'以生效")
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st.info("💡 配置更新后，建议重新运行关键词蒸馏和内容创作，以获得最佳效果")
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st.rerun()
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if apply_disabled:
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st.caption("⚠️ 数据不完整，无法应用")
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# 预期效果
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if result.get("expected_effects"):
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st.markdown("**📈 预期效果**")
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effects = result["expected_effects"]
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# 使用文本而不是 metric，避免内容被截断
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if effects.get("mention_rate"):
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st.markdown(f"- 提及率提升预期：{effects['mention_rate']}")
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if effects.get("geo_friendliness"):
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st.markdown(f"- GEO友好度提升：{effects['geo_friendliness']}")
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# 完整报告
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if result.get("raw_result"):
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with st.expander("📄 查看完整分析报告", expanded=False):
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st.markdown(result["raw_result"])
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# 如果推荐版本为空或解析失败，显示原始输出中的推荐版本部分
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recommended_versions = result.get("recommended_versions", [])
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if not recommended_versions or all(
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not v.get("brand") and not v.get("advantages")
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for v in recommended_versions
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):
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st.warning("⚠️ 推荐版本解析失败，以下是原始输出中的推荐版本部分，请检查格式：")
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raw = result["raw_result"]
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if "【推荐版本】" in raw:
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raw_versions = raw.split("【推荐版本】")[1].split("【")[0]
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st.code(raw_versions, language="text")
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st.info("💡 如果原始输出中包含推荐版本但解析失败，请检查格式是否符合要求")
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# 调试信息（可选）
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if st.checkbox("🔍 显示调试信息", key="tab10_debug"):
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st.markdown("#### 调试信息")
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debug_info = {
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"推荐版本数量": len(result.get("recommended_versions", [])),
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"版本详情": result.get("recommended_versions", []),
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"配置hash": st.session_state.config_hash,
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"解析错误": result.get("parse_errors", [])
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}
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st.json(debug_info)
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# 显示原始输出的关键部分
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if result.get("raw_result"):
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raw = result["raw_result"]
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if "【推荐版本】" in raw:
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st.markdown("**原始输出中的推荐版本部分：**")
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raw_versions = raw.split("【推荐版本】")[1].split("【")[0]
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st.code(raw_versions[:1000], language="text") # 显示前1000字符
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else:
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st.error(f"❌ 分析失败：{result.get('error', '未知错误')}")
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if result.get("raw_result"):
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with st.expander("查看原始输出"):
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st.code(result["raw_result"])
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else:
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st.info("💡 点击上方「分析配置优化」按钮开始分析，系统会根据当前配置生成优化建议。")
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st.caption("提示：当您修改品牌名、优势描述或竞品列表后，系统会自动清除旧结果，需要重新分析。")
|
