"""
KI-Prompt Jobs: validierter Kontext (Pydantic) + Zugriff auf gemeinsame Resolver.

Importiert exercise_ai nur fuer Platzhalter-Builder — Router importieren dieses Modul oder exercise_ai,
nicht umgekehrt von exercise_ai nach ai_prompt_job (Zirkel vermeiden).
"""
from __future__ import annotations

from typing import Dict, List, Optional, Tuple

from pydantic import BaseModel, Field

from exercise_ai import build_exercise_placeholder_variables


class ExerciseFormAiFocusRow(BaseModel):
    """Fokusbereich fuer Skill-Retrieval-Kontext (wie ExerciseAiFocusCtx / Admin-Preview)."""

    focus_area_id: int = Field(..., ge=1)
    is_primary: Optional[bool] = False


class ExerciseFormAiPromptContext(BaseModel):
    """
    Eingabe fuer Uebungsbezogene Prompts (Kurzfassung / Skill-JSON-Vorschlag).
    Entspricht fachlich dem Preview-Body unter /api/admin/ai-prompts/*/preview.
    """

    title: Optional[str] = ""
    goal: Optional[str] = None
    execution: Optional[str] = None
    focus_hint: Optional[str] = None
    focus_areas_context: Optional[List[ExerciseFormAiFocusRow]] = None

    def focus_area_tuples(self) -> Optional[List[Tuple[int, bool]]]:
        if not self.focus_areas_context:
            return None
        return [(int(x.focus_area_id), bool(x.is_primary)) for x in self.focus_areas_context]


def resolve_exercise_form_variables(cur, slug: str, ctx: ExerciseFormAiPromptContext) -> Dict[str, str]:
    """Baut die Mustache-Map fuer exercise_summary / exercise_skill_suggestions."""
    return build_exercise_placeholder_variables(
        cur,
        slug=slug,
        title=(ctx.title or "").strip(),
        goal=ctx.goal,
        execution=ctx.execution,
        focus_area_hint=ctx.focus_hint,
        focus_areas_context=ctx.focus_area_tuples(),
    )


__all__ = [
    "ExerciseFormAiFocusRow",
    "ExerciseFormAiPromptContext",
    "resolve_exercise_form_variables",
]