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>
93 lines
2.1 KiB
Python
93 lines
2.1 KiB
Python
"""
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Classroom Engine - State Machine fuer Unterrichtsphasen
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Dieses Package implementiert eine Finite State Machine fuer die
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Steuerung von Unterrichtsstunden mit 5 Phasen:
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1. Einstieg (8 Min) - Motivation, Problemstellung
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2. Erarbeitung (20 Min) - Hauptarbeitsphase
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3. Sicherung (10 Min) - Ergebnisse festhalten
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4. Transfer (7 Min) - Anwendung
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5. Reflexion (5 Min) - Rueckblick, Hausaufgaben
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Features:
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- Phasen-Timer mit Countdown und Warnungen
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- Phasenspezifische Content-Vorschlaege
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- Session-History fuer Analytics
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"""
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from .models import (
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LessonPhase,
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PhaseConfig,
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LessonSession,
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LessonTemplate,
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PhaseSuggestion,
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Homework,
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HomeworkStatus,
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PhaseMaterial,
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MaterialType,
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LESSON_PHASES,
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SYSTEM_TEMPLATES,
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get_default_durations,
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)
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from .fsm import LessonStateMachine
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from .timer import PhaseTimer
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from .suggestions import SuggestionEngine
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from .suggestion_data import PHASE_SUGGESTIONS, SUBJECT_SUGGESTIONS
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from .context_models import (
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MacroPhaseEnum,
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EventTypeEnum,
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EventStatusEnum,
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RoutineTypeEnum,
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RecurrencePatternEnum,
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TeacherContextDB,
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SchoolyearEventDB,
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RecurringRoutineDB,
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FEDERAL_STATES,
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SCHOOL_TYPES,
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)
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from .antizipation import (
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SignalCollector,
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RuleEngine,
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SuggestionGenerator,
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Signals,
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Suggestion,
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SuggestionTone,
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ActiveContext,
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ContextType,
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)
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from .analytics import LessonReflection
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__all__ = [
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"LessonPhase",
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"PhaseConfig",
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"LessonSession",
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"LessonTemplate",
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"PhaseSuggestion",
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"Homework",
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"HomeworkStatus",
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"PhaseMaterial",
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"MaterialType",
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"LESSON_PHASES",
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"SYSTEM_TEMPLATES",
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"get_default_durations",
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"LessonStateMachine",
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"PhaseTimer",
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"SuggestionEngine",
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"PHASE_SUGGESTIONS",
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"SUBJECT_SUGGESTIONS",
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# Phase 8: Schuljahres-Kontext
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"MacroPhaseEnum",
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"EventTypeEnum",
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"EventStatusEnum",
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"RoutineTypeEnum",
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"RecurrencePatternEnum",
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"TeacherContextDB",
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"SchoolyearEventDB",
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"RecurringRoutineDB",
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"FEDERAL_STATES",
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"SCHOOL_TYPES",
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# Analytics
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"LessonReflection",
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]
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