47 lines
2.3 KiB
Python
47 lines
2.3 KiB
Python
"""大周天记忆/世界抽取 prompt 构建（纯函数，无 IO）。
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复用 ``EvaluationSnapshot``（态势快照），产出 ``(system, user)`` 消息对，喂给
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模型网关。模型返回的 JSON 对象由 ``extract`` 模块解析。
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枚举取值以 [记忆系统设计](../../docs/domain/memory-model.md) §6、
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[世界模型设计](../../docs/domain/core-domains.md) §8 与
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[数据库 schema](../../docs/contracts/contract-glossary.md) §20 为准。
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"""
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from app.modules.big_cycle.prompts import EvaluationSnapshot
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def build_extraction_messages(
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snapshot: EvaluationSnapshot,
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) -> tuple[str, str]:
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system = (
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"你是魂镜的大周天记忆/世界抽取器。基于本轮自我评估的态势快照与近期记忆，"
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"抽取值得长期记住的记忆候选与世界实体候选（用户、项目、地点、对象等）。"
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"只抽取有长期价值、非琐碎的信息；低置信度或推断信息标注为 inference 而非 fact，"
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"不得把推断伪装成已确认事实。"
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'以 JSON 对象返回：{"memories": [...], "entities": [...]}。'
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'memories 每项：{"type": str(user/preference/event/relationship/skill/goal/fact/other), '
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'"title": str, "content": str, "importance": 0~1, '
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'"sensitivity": "low|medium|high", "confidence": 0~1, "reason": str}。'
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'entities 每项：{"type": str(self/person/object/place/device/project/task/concept), '
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'"name": str, "attributes": 对象, '
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'"state_type": str(fact/observation/inference/hypothesis/stale), "confidence": 0~1}。'
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'无值得抽取的内容时返回 {"memories": [], "entities": []}。'
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"只返回 JSON 对象，不要解释或 markdown。"
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)
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user = (
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f"记忆总数：{snapshot.memory_count}\n"
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f"世界实体数：{snapshot.world_entity_count}\n"
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f"自我评估结论：{snapshot.conclusion or '（无明显态势）'}\n"
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f"当前人格摘要：\n{snapshot.personality_summary or '（尚未形成）'}\n"
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f"近期记忆摘要：\n{_format_memories(snapshot.recent_memories)}"
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)
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return system, user
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def _format_memories(memories: list[tuple[str, str]]) -> str:
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if not memories:
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return "（暂无）"
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lines = [f"[{idx}] {title}：{content}" for idx, (title, content) in enumerate(memories)]
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return "\n".join(lines)
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