from __future__ import annotations

from dataclasses import dataclass, field
from typing import Any


@dataclass(frozen=True)
class RationLineSnapshot:
    id: str | None
    component_id: str | None
    ingredient_name: str | None
    row_index: int
    daily_kg: float | None
    in_ration: bool
    in_compound: bool
    dry_matter: float | None
    price_per_kg: float | None
    nutrients: dict[str, Any]


@dataclass(frozen=True)
class RationSnapshot:
    recipe_id: str
    recipe_name: str
    ration_type: str
    heads_per_trip: int
    animal_profile_id: str | None
    params: dict[str, Any]
    lines: tuple[RationLineSnapshot, ...] = field(default_factory=tuple)
    norms: dict[str, dict[str, float | None]] = field(default_factory=dict)
    ration_results: dict[str, Any] = field(default_factory=dict)
    compound_results: dict[str, Any] = field(default_factory=dict)
    calculated_at: str | None = None
    exists: bool = True
    norms_profile_key: str | None = None
    legacy_norms_remapped: bool = False


@dataclass(frozen=True)
class ExecutionLineSnapshot:
    ingredient_id: str
    component_id: str | None
    name: str
    weight_per_head: float
    daily_kg_total: float


@dataclass(frozen=True)
class ExecutionSnapshot:
    recipe_id: str
    heads_per_trip: int
    lines: tuple[ExecutionLineSnapshot, ...] = field(default_factory=tuple)