"""Pydantic models for bulkgen YAML configuration."""

from __future__ import annotations

import enum
from pathlib import Path
from typing import TYPE_CHECKING, Self

import yaml
from pydantic import BaseModel, model_validator

if TYPE_CHECKING:
    from bulkgen.providers.models import ModelInfo


class TargetType(enum.Enum):
    """The kind of artifact a target produces."""

    IMAGE = "image"
    TEXT = "text"


IMAGE_EXTENSIONS: frozenset[str] = frozenset({".png", ".jpg", ".jpeg", ".webp"})
TEXT_EXTENSIONS: frozenset[str] = frozenset({".md", ".txt"})


class Defaults(BaseModel):
    """Default model names, applied when a target does not specify its own."""

    text_model: str = "pixtral-large-latest"
    image_model: str = "flux-2-pro"


class TargetConfig(BaseModel):
    """Configuration for a single build target."""

    prompt: str
    model: str | None = None
    inputs: list[str] = []
    reference_images: list[str] = []
    control_images: list[str] = []
    width: int | None = None
    height: int | None = None


class ProjectConfig(BaseModel):
    """Top-level configuration parsed from ``<name>.bulkgen.yaml``."""

    defaults: Defaults = Defaults()
    targets: dict[str, TargetConfig]

    @model_validator(mode="after")
    def _validate_non_empty_targets(self) -> Self:
        if not self.targets:
            msg = "At least one target must be defined"
            raise ValueError(msg)
        return self


def infer_target_type(target_name: str) -> TargetType:
    """Infer whether a target produces an image or text from its file extension."""
    suffix = Path(target_name).suffix.lower()
    if suffix in IMAGE_EXTENSIONS:
        return TargetType.IMAGE
    if suffix in TEXT_EXTENSIONS:
        return TargetType.TEXT
    msg = f"Cannot infer target type for '{target_name}': unsupported extension '{suffix}'"
    raise ValueError(msg)


def resolve_model(
    target_name: str, target: TargetConfig, defaults: Defaults
) -> ModelInfo:
    """Return the effective model for a target (explicit or default by type).

    Raises :class:`ValueError` if the resolved model name is not in the registry.
    """
    from bulkgen.providers.models import ALL_MODELS

    if target.model is not None:
        model_name = target.model
    else:
        target_type = infer_target_type(target_name)
        model_name = (
            defaults.image_model
            if target_type is TargetType.IMAGE
            else defaults.text_model
        )
    for model in ALL_MODELS:
        if model.name == model_name:
            return model
    msg = f"Unknown model '{model_name}' for target '{target_name}'"
    raise ValueError(msg)


def load_config(config_path: Path) -> ProjectConfig:
    """Load and validate a ``.bulkgen.yaml`` file."""
    with config_path.open() as f:
        raw = yaml.safe_load(f)  # pyright: ignore[reportAny]
    return ProjectConfig.model_validate(raw)