28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
# ============================================================
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# 对话历史规范化（moduleId: core-context, 可重生 ✅）
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# 只做纯数据整形：把网关收到的历史消息收敛成 {role, text}。
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# 多轮语义理解统一交给 Pi Agent，本模块不做任何规则判断。
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# ============================================================
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from __future__ import annotations
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from typing import Any
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HistoryItem = dict[str, str] # {role: user|agent, text: str}
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def normalize_history(raw: list[Any] | None, *, limit: int = 12) -> list[HistoryItem]:
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out: list[HistoryItem] = []
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for m in raw or []:
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if not isinstance(m, dict):
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continue
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role = str(m.get("role") or "")
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if role in ("assistant", "bot", "ai"):
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role = "agent"
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if role not in ("user", "agent"):
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continue
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text = str(m.get("text") or m.get("content") or "").strip()
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if not text:
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continue
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out.append({"role": role, "text": text})
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return out[-limit:]
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