Cursor Agentandhaijd
9c6afcb61a
需求未定稿时可先跑通追问/判定/出方案；槽位与判定树外置 YAML，后续可接 Ragflow。 Co-authored-by: haijd <haijd@163.com>
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
from __future__ import annotations
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from typing import Any
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import yaml
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from .settings import settings
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def _load_yaml(name: str) -> dict[str, Any]:
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path = settings.knowledge_dir / name
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with path.open(encoding="utf-8") as f:
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data = yaml.safe_load(f) or {}
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if not isinstance(data, dict):
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raise ValueError(f"{name} must be a mapping")
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return data
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class BusinessConfig:
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def __init__(self) -> None:
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self.reload()
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def reload(self) -> None:
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self.slots_doc = _load_yaml("slots.yaml")
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self.tree_doc = _load_yaml("decision_tree.yaml")
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self.chunks_doc = _load_yaml("sample_chunks.yaml")
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@property
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def slots(self) -> list[dict[str, Any]]:
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return list(self.slots_doc.get("slots") or [])
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@property
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def handoff_phrases(self) -> list[str]:
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return list(self.slots_doc.get("handoff_phrases") or [])
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@property
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def closing_prompt(self) -> str:
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return str(self.slots_doc.get("closing_prompt") or "正在生成方案…")
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@property
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def rules(self) -> list[dict[str, Any]]:
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return sorted(self.tree_doc.get("rules") or [], key=lambda r: r.get("order", 100))
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@property
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def handoff_confidence_below(self) -> float:
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return float(self.tree_doc.get("handoff_confidence_below", 0.55))
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@property
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def chunks(self) -> list[dict[str, Any]]:
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return list(self.chunks_doc.get("chunks") or [])
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business_config = BusinessConfig()
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