"""Repo-anchored paths — resolve data files independent of the process working directory.

WHY: Streamlit (and HF Spaces) launch with a working directory that is not the repo root, so a relative
``data/candidates.jsonl`` fails to resolve. Anchoring to the repo root (derived from this file's location)
makes the same default work from the CLI, the app, and a container alike.
"""

from __future__ import annotations

from pathlib import Path

# src/common/paths.py → parents[2] is the repo root (../../ up from common/).
REPO_ROOT = Path(__file__).resolve().parents[2]
DATA_DIR = REPO_ROOT / "data"
DEFAULT_CANDIDATES = DATA_DIR / "candidates.jsonl"
# Loaded-candidates cache — the RAW load_candidates() output (before validate/materialize/quality) for the
# FULL, unlimited dataset. Written once by ``rank.py --setup`` (bakes into the Docker image, same as model
# weights) or on first use, then read directly on every later call instead of re-parsing the 465MB JSONL
# (~13-20s → ~1-2s). Lives INSIDE load_candidates() itself (not one layer up in run_preprocess) specifically
# so BOTH the CLI (run_preprocess) and Streamlit (which calls load_candidates directly, bypassing
# run_preprocess, for its per-phase explorer) share the same cache. validate/materialize/quality always run
# fresh downstream in both callers — they're cheap (~2-3s combined) AND quality.py appends to the ``text``
# column, so caching their output and replaying them again would double-append and corrupt it.
LOADED_CANDIDATES_CACHE = DATA_DIR / "artifacts" / "candidates_loaded.parquet"


def resolve_candidates(path: str | Path) -> Path:
    """Resolve a candidates path: use it as-given if it exists, else try it relative to the repo root.

    Returns the resolved Path if found; otherwise returns the original (so the caller reports not-found).
    """
    given = Path(path)
    if given.exists():
        return given
    anchored = REPO_ROOT / path
    return anchored if anchored.exists() else given