优化自动回复对群摘要的结构化利用
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@@ -26,10 +26,16 @@ class GroupProfileResolver:
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configured_domain = str(profile.get("knowledge_domain", "general") or "general")
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inferred_domain = str(group_memory_profile.get("inferred_domain", "general") or "general")
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inferred_style = group_memory_profile.get("style_profile", {}) or {}
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structured_summary = group_memory_profile.get("structured_summary", {}) or {}
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effective_domain = configured_domain
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if configured_domain in {"", "general", "casual"} and inferred_domain not in {"", "general"}:
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effective_domain = inferred_domain
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# 群摘要不再只是“一段文案”:
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# 1. 这里把群长期聚合后的稳定主题一起并到 focus 里;
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# 2. 这样群画像后续传给 prompt 时,LLM 能拿到更干净的字段,而不是自己再拆 markdown;
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# 3. 同时只保留去重后的短项,避免群摘要字段把配置 focus 全冲掉。
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inferred_focus = list(group_memory_profile.get("focus_topics", []))
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inferred_focus.extend(structured_summary.get("stable_topics", []) or [])
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merged_focus = []
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for item in focus + inferred_focus:
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if item and item not in merged_focus:
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@@ -63,5 +69,8 @@ class GroupProfileResolver:
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"group_memory_domain": inferred_domain,
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"group_memory_summary": group_memory_profile.get("summary_text", ""),
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"group_memory_sample_count": group_memory_profile.get("message_sample_count", 0),
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"group_memory_summary_days": group_memory_profile.get("summary_source_count", 0),
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"group_memory_structured": structured_summary,
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"group_memory_timeline": group_memory_profile.get("summary_timeline", []) or [],
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"group_memory_style": inferred_style,
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}
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