wren
55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
"""规则域租户作用域解析工具。"""
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from __future__ import annotations
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from collections.abc import Iterable, Mapping
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from typing import Any
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def normalize_scoped_tenant_code(value: str | None, default: str = "PROVINCIAL") -> str:
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"""标准化规则域作用域租户编码。"""
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normalized = str(value or "").strip().upper()
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return normalized or default
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def candidate_scope_tenant_codes(tenant_code: str | None) -> list[str]:
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"""返回规则域作用域命中顺序: TENANT -> PUBLIC -> PROVINCIAL。
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PUBLIC 是新的平台级模板源；PROVINCIAL 仅作为历史兼容兜底。
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"""
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normalized = normalize_scoped_tenant_code(tenant_code)
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candidates: list[str] = []
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if normalized not in {"PROVINCIAL", "PUBLIC"}:
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candidates.append(normalized)
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candidates.append("PUBLIC")
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if normalized != "PUBLIC":
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candidates.append("PROVINCIAL")
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return list(dict.fromkeys(candidates))
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def pick_effective_scoped_row(
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rows: Iterable[Mapping[str, Any]],
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tenant_code: str | None,
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*,
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tenant_code_key: str = "tenant_code",
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) -> Mapping[str, Any] | None:
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"""按租户继承顺序挑选一条实际生效记录。"""
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row_by_tenant: dict[str, Mapping[str, Any]] = {}
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legacy_provincial_row: Mapping[str, Any] | None = None
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for row in rows:
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normalized = normalize_scoped_tenant_code(str(row.get(tenant_code_key) or ""), default="")
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if not normalized:
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if legacy_provincial_row is None:
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legacy_provincial_row = row
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continue
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row_by_tenant.setdefault(normalized, row)
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for candidate in candidate_scope_tenant_codes(tenant_code):
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matched = row_by_tenant.get(candidate)
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if matched is not None:
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return matched
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if candidate == "PROVINCIAL" and legacy_provincial_row is not None:
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return legacy_provincial_row
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return legacy_provincial_row
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