bd4b956e3c
klausur-service (11 files): - cv_gutter_repair, ocr_pipeline_regression, upload_api - ocr_pipeline_sessions, smart_spell, nru_worksheet_generator - ocr_pipeline_overlays, mail/aggregator, zeugnis_api - cv_syllable_detect, self_rag backend-lehrer (17 files): - classroom_engine/suggestions, generators/quiz_generator - worksheets_api, llm_gateway/comparison, state_engine_api - classroom/models (→ 4 submodules), services/file_processor - alerts_agent/api/wizard+digests+routes, content_generators/pdf - classroom/routes/sessions, llm_gateway/inference - classroom_engine/analytics, auth/keycloak_auth - alerts_agent/processing/rule_engine, ai_processor/print_versions agent-core (5 files): - brain/memory_store, brain/knowledge_graph, brain/context_manager - orchestrator/supervisor, sessions/session_manager admin-lehrer (5 components): - GridOverlay, StepGridReview, DevOpsPipelineSidebar - DataFlowDiagram, sbom/wizard/page website (2 files): - DependencyMap, lehrer/abitur-archiv Other: nibis_ingestion, grid_detection_service, export-doclayout-onnx Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
66 lines
1.2 KiB
Python
66 lines
1.2 KiB
Python
"""
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Quiz Models - Datenmodelle fuer Quiz-Generierung.
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Enthaelt alle Dataclasses und Enums fuer Quiz-Typen:
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- True/False Fragen
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- Zuordnungsaufgaben (Matching)
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- Sortieraufgaben
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- Offene Fragen
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"""
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from typing import List, Any, Optional
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from dataclasses import dataclass
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from enum import Enum
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class QuizType(str, Enum):
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"""Typen von Quiz-Aufgaben."""
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TRUE_FALSE = "true_false"
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MATCHING = "matching"
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SORTING = "sorting"
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OPEN_ENDED = "open_ended"
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@dataclass
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class TrueFalseQuestion:
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"""Eine Wahr/Falsch-Frage."""
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statement: str
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is_true: bool
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explanation: str
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source_reference: Optional[str] = None
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@dataclass
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class MatchingPair:
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"""Ein Zuordnungspaar."""
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left: str
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right: str
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hint: Optional[str] = None
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@dataclass
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class SortingItem:
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"""Ein Element zum Sortieren."""
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text: str
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correct_position: int
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category: Optional[str] = None
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@dataclass
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class OpenQuestion:
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"""Eine offene Frage."""
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question: str
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model_answer: str
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keywords: List[str]
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points: int = 1
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@dataclass
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class Quiz:
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"""Ein komplettes Quiz."""
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quiz_type: QuizType
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title: str
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questions: List[Any] # Je nach Typ unterschiedlich
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topic: Optional[str] = None
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difficulty: str = "medium"
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