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- Introduced `ExerciseFormAiPromptContext` for unified handling of prompt-related data, enhancing the admin preview and exercise API. - Added `run_exercise_form_ai_suggestion` function to streamline AI suggestion processing, integrating with the OpenRouter. - Updated various modules to utilize the new context model, improving code clarity and reducing redundancy. - Incremented application version to 0.8.162 and updated changelog to reflect these changes, including migration details and new functionality.
87 lines
2.7 KiB
Python
87 lines
2.7 KiB
Python
"""
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Gemeinsame Pydantic-Modelle fuer Uebungs-KI-Kontext (Formularfelder → Prompt-Platzhalter).
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Keine Imports aus exercise_ai — vermeidet Zirkelimporte mit ai_prompt_job / exercise_ai.
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"""
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from __future__ import annotations
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from typing import List, Optional, Sequence, Tuple
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from pydantic import BaseModel, Field
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class ExerciseFormAiFocusRow(BaseModel):
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"""Fokusbereich fuer Skill-Retrieval (ai_skill_retrieval_profiles)."""
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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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Inhaltliche Eingabe fuer Uebungs-Prompts (Kurzfassung / Skill-Vorschlaege).
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Wird genutzt von Admin-Prompt-Vorschau und POST /exercises/ai/suggest (via Mapping).
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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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@classmethod
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def from_api_suggest(
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cls,
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*,
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title: Optional[str] = None,
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goal: Optional[str] = None,
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execution: Optional[str] = None,
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focus_area_hint: Optional[str] = None,
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focus_areas_context: Optional[Sequence[ExerciseFormAiFocusRow]] = None,
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) -> ExerciseFormAiPromptContext:
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"""Mappt Felder aus POST /exercises/ai/suggest (focus_area_hint → focus_hint)."""
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hint = (focus_area_hint or "").strip() or None
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return cls(
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title=(title or "").strip(),
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goal=goal,
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execution=execution,
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focus_hint=hint,
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focus_areas_context=list(focus_areas_context) if focus_areas_context else None,
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)
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@classmethod
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def from_focus_tuples(
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cls,
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*,
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title: 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_tuples: Optional[Sequence[Tuple[int, bool]]] = None,
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) -> ExerciseFormAiPromptContext:
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rows = None
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if focus_tuples:
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rows = [
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ExerciseFormAiFocusRow(focus_area_id=int(fid), is_primary=bool(prim))
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for fid, prim in focus_tuples
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]
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return cls(
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title=(title or "").strip(),
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goal=goal,
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execution=execution,
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focus_hint=(focus_hint or "").strip() or None,
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focus_areas_context=rows,
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)
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__all__ = [
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"ExerciseFormAiFocusRow",
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"ExerciseFormAiPromptContext",
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]
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