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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

49 lines
1.5 KiB
Python

"""Shared retrieval-mode resolution for mode-aware pipelines (LightRAG, GraphRAG).
Resolution order, first valid wins:
1. an explicit ``mode`` kwarg (a one-off override on the search call),
2. the KB's own ``search_mode`` (``kb_config.json`` → ``knowledge_bases[kb]``),
3. the engine's global default mode set from the engine card
(``kb_config.json`` → ``defaults.provider_modes[provider]``),
4. the engine's built-in default.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any, Optional, Sequence
def resolve_kb_mode(
kb_base_dir: str | Path,
kb_name: Optional[str],
provider: str,
*,
explicit: Any = None,
supported: Sequence[str],
default: str,
) -> str:
candidates: list[Any] = [explicit]
try:
cfg_path = Path(kb_base_dir) / "kb_config.json"
if cfg_path.exists():
data = json.loads(cfg_path.read_text(encoding="utf-8"))
if kb_name:
entry = data.get("knowledge_bases", {}).get(kb_name, {})
candidates.append(entry.get("search_mode"))
candidates.append(data.get("defaults", {}).get("provider_modes", {}).get(provider))
except Exception: # pragma: no cover - defensive
pass
supported_set = {m.lower() for m in supported}
for candidate in candidates:
norm = (str(candidate) if candidate else "").strip().lower()
if norm in supported_set:
return norm
return default
__all__ = ["resolve_kb_mode"]