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- Introduced `load_and_render_ai_prompt` and `render_ai_prompt_template_for_row` in `ai_prompt_runtime` to streamline prompt loading and rendering processes. - Added `AiPromptUnavailableError` for better error handling when prompts are inactive or missing. - Created `ai_prompt_job` module with `ExerciseFormAiPromptContext` and `resolve_exercise_form_variables` to support admin preview functionality. - Updated documentation and target architecture to reflect changes in the AI prompt system. - Incremented application version to 0.8.160 and updated changelog accordingly.
59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
"""
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KI-Prompt Jobs: validierter Kontext (Pydantic) + Zugriff auf gemeinsame Resolver.
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Importiert exercise_ai nur fuer Platzhalter-Builder — Router importieren dieses Modul oder exercise_ai,
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nicht umgekehrt von exercise_ai nach ai_prompt_job (Zirkel vermeiden).
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"""
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from __future__ import annotations
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from typing import Dict, List, Optional, Tuple
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from pydantic import BaseModel, Field
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from exercise_ai import build_exercise_placeholder_variables
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class ExerciseFormAiFocusRow(BaseModel):
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"""Fokusbereich fuer Skill-Retrieval-Kontext (wie ExerciseAiFocusCtx / Admin-Preview)."""
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focus_area_id: int = Field(..., ge=1)
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is_primary: Optional[bool] = False
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class ExerciseFormAiPromptContext(BaseModel):
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"""
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Eingabe fuer Uebungsbezogene Prompts (Kurzfassung / Skill-JSON-Vorschlag).
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Entspricht fachlich dem Preview-Body unter /api/admin/ai-prompts/*/preview.
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"""
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title: Optional[str] = ""
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goal: Optional[str] = None
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execution: Optional[str] = None
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focus_hint: Optional[str] = None
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focus_areas_context: Optional[List[ExerciseFormAiFocusRow]] = None
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def focus_area_tuples(self) -> Optional[List[Tuple[int, bool]]]:
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if not self.focus_areas_context:
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return None
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return [(int(x.focus_area_id), bool(x.is_primary)) for x in self.focus_areas_context]
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def resolve_exercise_form_variables(cur, slug: str, ctx: ExerciseFormAiPromptContext) -> Dict[str, str]:
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"""Baut die Mustache-Map fuer exercise_summary / exercise_skill_suggestions."""
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return build_exercise_placeholder_variables(
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cur,
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slug=slug,
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title=(ctx.title or "").strip(),
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goal=ctx.goal,
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execution=ctx.execution,
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focus_area_hint=ctx.focus_hint,
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focus_areas_context=ctx.focus_area_tuples(),
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)
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__all__ = [
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"ExerciseFormAiFocusRow",
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"ExerciseFormAiPromptContext",
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"resolve_exercise_form_variables",
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]
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