import os
from pathlib import Path

import yaml
from rdkit import RDLogger

from flare.definitions import REPO_DIR
from flare.utils.config import resolve_repo_paths
from flare.utils.data import get_mol_featurizer, get_spec_featurizer
from flare.utils.models import get_model

lg = RDLogger.logger()
lg.setLevel(RDLogger.CRITICAL)


def load_model_components():
    param_pth = Path(os.environ.get("FLARE_PARAMS", REPO_DIR / "params.yaml")).expanduser()
    with open(param_pth, encoding="utf-8") as f:
        params = yaml.load(f, Loader=yaml.FullLoader)
    resolve_repo_paths(params)

    spec_featurizer = get_spec_featurizer(params["spectra_view"], params)
    mol_featurizer = get_mol_featurizer(params["molecule_view"], params)

    ckpt = os.environ.get("FLARE_CHECKPOINT", str(REPO_DIR / "pretrained_models" / "flare.ckpt"))
    params["checkpoint_pth"] = ckpt
    model = get_model(params["model"], params)

    return spec_featurizer, mol_featurizer, model