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"""Core helpers for the TRIP50 dataset: alias resolution and reaction quantities.

Used by the release producer (`build_hf_release.py`), the round-trip verifier
(`examples/verify_release.py`), and the example MLIP evaluator
(`examples/evaluate_mlip.py`). Kept dependency-light so it ships with the
release without pulling in optional libraries.
"""

from __future__ import annotations

HARTREE_TO_KCAL = 627.5094740631
ROLES = ("R1", "R2", "TS", "P1", "P2")


def lookup(species_name, source, alias_map):
    """Energy for `species_name` in `source` (a Mapping or pandas Series indexed
    by species id), with alias resolution. Returns None if not present."""
    name = alias_map.get(species_name, species_name)
    return source.get(name, None)


def required_roles(rxn_id, dlpno_source, alias_map):
    """Roles that the rxn definition requires (i.e., DLPNO has a non-null value
    for that species). Unimolecular legs (R2 and/or P2 absent) drop out."""
    return {role for role in ROLES
            if lookup(f"{rxn_id}-{role}", dlpno_source, alias_map) is not None}


def reaction_quantities(source, dlpno_source, alias_map):
    """Compute ΔE_rxn, ΔE_fwd, ΔE_rev (kcal/mol) for every TRIP50 reaction
    defined in `dlpno_source`. A reaction's quantity is included only when
    every role required by the DLPNO definition is also resolvable in `source`.
    Unimolecular legs (roles absent from DLPNO) contribute 0 H on both sides.

    Returns three dicts {rxn_id: kcal_value}.
    """
    rxn, fwd, rev = {}, {}, {}
    for r in range(1, 51):
        req = required_roles(r, dlpno_source, alias_map)
        e = {role: (lookup(f"{r}-{role}", source, alias_map) or 0.0) for role in ROLES}
        ok = lambda needed: all((lookup(f"{r}-{role}", source, alias_map) is not None)
                                for role in (needed & req))
        if {"R1", "P1"} <= req and ok({"R1", "R2", "P1", "P2"}):
            rxn[r] = ((e["P1"] + e["P2"]) - (e["R1"] + e["R2"])) * HARTREE_TO_KCAL
        if {"R1", "TS"} <= req and ok({"R1", "R2", "TS"}):
            fwd[r] = (e["TS"] - (e["R1"] + e["R2"])) * HARTREE_TO_KCAL
        if {"P1", "TS"} <= req and ok({"P1", "P2", "TS"}):
            rev[r] = (e["TS"] - (e["P1"] + e["P2"])) * HARTREE_TO_KCAL
    return rxn, fwd, rev


def slugify_method(name):
    """Reversible slug for a method/theory name. Mapping is recorded in
    methods.json at release time so consumers can recover the display name."""
    s = name
    s = s.replace("ω", "omega").replace("Ω", "omega")
    s = s.replace("κ", "kappa").replace("Κ", "kappa")
    s = s.lower()
    out = []
    for ch in s:
        if ch.isalnum():
            out.append(ch)
        elif ch in "-/() ":
            out.append("_")
        # drop everything else
    slug = "".join(out)
    while "__" in slug:
        slug = slug.replace("__", "_")
    return slug.strip("_")