b6983ab1dc
backend-lehrer (5 files): - alerts_agent/db/repository.py (992 → 5), abitur_docs_api.py (956 → 3) - teacher_dashboard_api.py (951 → 3), services/pdf_service.py (916 → 3) - mail/mail_db.py (987 → 6) klausur-service (5 files): - legal_templates_ingestion.py (942 → 3), ocr_pipeline_postprocess.py (929 → 4) - ocr_pipeline_words.py (876 → 3), ocr_pipeline_ocr_merge.py (616 → 2) - KorrekturPage.tsx (956 → 6) website (5 pages): - mail (985 → 9), edu-search (958 → 8), mac-mini (950 → 7) - ocr-labeling (946 → 7), audit-workspace (871 → 4) studio-v2 (5 files + 1 deleted): - page.tsx (946 → 5), MessagesContext.tsx (925 → 4) - korrektur (914 → 6), worksheet-cleanup (899 → 6) - useVocabWorksheet.ts (888 → 3) - Deleted dead page-original.tsx (934 LOC) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
85 lines
2.2 KiB
Python
85 lines
2.2 KiB
Python
"""
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PDF Service - Data Models and Shared Types.
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Dataclasses for letters, certificates, and corrections.
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"""
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from dataclasses import dataclass
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from typing import Any, Dict, Optional, List
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@dataclass
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class SchoolInfo:
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"""Schulinformationen für Header."""
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name: str
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address: str
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phone: str
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email: str
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logo_path: Optional[str] = None
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website: Optional[str] = None
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principal: Optional[str] = None
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@dataclass
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class LetterData:
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"""Daten für Elternbrief-PDF."""
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recipient_name: str
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recipient_address: str
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student_name: str
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student_class: str
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subject: str
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content: str
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date: str
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teacher_name: str
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teacher_title: Optional[str] = None
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school_info: Optional[SchoolInfo] = None
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letter_type: str = "general" # general, halbjahr, fehlzeiten, elternabend, lob
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tone: str = "professional"
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legal_references: Optional[List[Dict[str, str]]] = None
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gfk_principles_applied: Optional[List[str]] = None
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@dataclass
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class CertificateData:
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"""Daten für Zeugnis-PDF."""
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student_name: str
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student_birthdate: str
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student_class: str
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school_year: str
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certificate_type: str # halbjahr, jahres, abschluss
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subjects: List[Dict[str, Any]] # [{name, grade, note}]
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attendance: Dict[str, int] # {days_absent, days_excused, days_unexcused}
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remarks: Optional[str] = None
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class_teacher: str = ""
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principal: str = ""
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school_info: Optional[SchoolInfo] = None
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issue_date: str = ""
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social_behavior: Optional[str] = None # A, B, C, D
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work_behavior: Optional[str] = None # A, B, C, D
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@dataclass
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class StudentInfo:
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"""Schülerinformationen für Korrektur-PDFs."""
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student_id: str
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name: str
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class_name: str
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@dataclass
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class CorrectionData:
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"""Daten für Korrektur-Übersicht PDF."""
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student: StudentInfo
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exam_title: str
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subject: str
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date: str
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max_points: int
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achieved_points: int
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grade: str
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percentage: float
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corrections: List[Dict[str, Any]] # [{question, answer, points, feedback}]
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teacher_notes: str = ""
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ai_feedback: str = ""
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grade_distribution: Optional[Dict[str, int]] = None # {note: anzahl}
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class_average: Optional[float] = None
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