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

51 lines
1.6 KiB
Python

"""Resolve the on-disk directory backing a knowledge base.
Ordinary KBs live at ``<kb_base_dir>/<kb_name>``. A *linked* KB is a pointer to
an engine index the user already built elsewhere: its ``kb_config.json`` entry
carries an ``external_path`` we resolve to instead, so retrieval reads that
folder in place — no copy, no re-index.
This is the single seam every pipeline goes through to find a KB's storage
root. Pipelines must never compute ``Path(kb_base_dir) / kb_name`` directly, or
linked KBs would resolve to a non-existent local folder and silently return no
results.
"""
from __future__ import annotations
import json
from pathlib import Path
from deeptutor.knowledge.kb_types import external_root_of
KB_CONFIG_FILENAME = "kb_config.json"
def resolve_kb_dir(kb_base_dir: str | Path, kb_name: str) -> Path:
"""Return the directory holding ``kb_name``'s index.
For a linked KB this is the user's external folder; for every other KB it
is the conventional ``<kb_base_dir>/<kb_name>``.
"""
base = Path(kb_base_dir)
external = _external_path(base, kb_name)
if external:
return Path(external).expanduser()
return base / kb_name
def _external_path(base: Path, kb_name: str) -> str | None:
"""Read a KB entry's external pointer from ``kb_config.json``, if any."""
cfg = base / KB_CONFIG_FILENAME
if not cfg.exists():
return None
try:
with open(cfg, encoding="utf-8") as handle:
entry = json.load(handle).get("knowledge_bases", {}).get(kb_name, {})
except Exception:
return None
return external_root_of(entry)
__all__ = ["resolve_kb_dir"]