from __future__ import annotations
from dataclasses import dataclass

from core.ontology import axis_options, partition_sectors
from core.ports import ChatModel
from core.schemas import RouteResponse


@dataclass
class Step1Result:
    """UI-facing bundle: the faithful route plus the in/out-of-scope partition."""
    route: RouteResponse
    in_scope: list[str]
    out_of_scope: list[str]


def route_from_chips(sectors: list[str], lens: list[str], type_: list[str]) -> RouteResponse:
    """Chips path — the analyst's selections ARE the route. Pure identity, no LLM."""
    return RouteResponse(sectors=list(sectors), lens=list(lens), type=list(type_))


def _render_options() -> str:
    opts = axis_options()
    sections = [
        ("SECTORS (domain of need)", opts["sectors"]),
        ("LENS (analytical 2D pillar)", opts["lens"]),
        ("TYPE (information 1D pillar)", opts["type"]),
    ]
    lines = []
    for title, items in sections:
        lines.append(title + ":")
        for it in items:
            syn = ", ".join(it["synonyms"][:6])
            lines.append(f"- {it['label']}" + (f" — {syn}" if syn else ""))
        lines.append("")
    return "\n".join(lines).strip()


def _build_messages(question: str) -> list[dict]:
    system = (
        "You classify a humanitarian analyst's question into a fixed framework of "
        "three axes: sectors, lens, type. Return ONLY labels drawn from the lists "
        "below, copied verbatim. A question may map to multiple sectors. Lens and "
        "type give analytical context — return an empty list for either if the "
        "question does not clearly indicate one. Sectors should reflect the "
        "domain(s) of need.\n\n" + _render_options()
    )
    return [
        {"role": "system", "content": system},
        {"role": "user", "content": question},
    ]


def route_from_message(question: str, model: ChatModel) -> RouteResponse:
    """Message path — the one fenced LLM call in Step 1. Classifies the question
    into {sectors, lens, type} as a structured RouteResponse."""
    return model.structured(_build_messages(question), RouteResponse)


def resolve_route(
    input_mode: str,
    question: str,
    sectors: list[str],
    lens: list[str],
    type_: list[str],
    model: ChatModel | None,
) -> Step1Result:
    """Orchestrate Step 1: dispatch by path, partition sectors.
    Raises ValueError only for empty-question validation; out-of-scope sectors
    are passed through to Step 2 for reconciliation."""
    if input_mode == "message":
        if not question or not question.strip():
            raise ValueError("Please type a question before routing.")
        route = route_from_message(question, model)
    else:
        route = route_from_chips(sectors, lens, type_)

    in_scope, out_of_scope = partition_sectors(route.sectors)
    return Step1Result(route=route, in_scope=in_scope, out_of_scope=out_of_scope)


def step1_trace_line(res: Step1Result) -> str:
    """Skill-style trace line for the route (extends state['trace'])."""
    all_sectors = res.in_scope + res.out_of_scope
    line = "Step 1 — Understood request → " + (", ".join(all_sectors) or "no sectors")
    if res.route.lens:
        line += f" (lens: {', '.join(res.route.lens)})"
    return line