from __future__ import annotations

from collections.abc import Sequence

from app.ha.models import HaEntitySummary


class Rule:
    def matches(self, entities: Sequence[HaEntitySummary]) -> bool:
        raise NotImplementedError

    def recommendation(self, entities: Sequence[HaEntitySummary]) -> str:
        raise NotImplementedError


class Recommender:
    def __init__(self, rules: Sequence[Rule]) -> None:
        self._rules = rules

    def run(self, entities: Sequence[HaEntitySummary]) -> list[str]:
        results: list[str] = []
        for rule in self._rules:
            if rule.matches(entities):
                results.append(rule.recommendation(entities))
        return results