759 lines
26 KiB
Python
759 lines
26 KiB
Python
import os
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import logging
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import threading
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import time
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from datetime import datetime
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from typing import Optional, List, Dict, Any
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from contextlib import contextmanager
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from sqlalchemy import create_engine, Column, Integer, String, Boolean, DateTime, ForeignKey, Float, event, text
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import relationship, sessionmaker, Session, Mapped, mapped_column, scoped_session
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from sqlalchemy.pool import StaticPool, QueuePool
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from sqlalchemy.engine import Engine
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from flask_login import UserMixin
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import bcrypt
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from config.settings import DATABASE_PATH, ensure_database_directory
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from utils.logging_config import get_logger
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Base = declarative_base()
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logger = get_logger("app")
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# Thread-lokale Session-Factory für sichere Concurrent-Zugriffe
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_session_factory = None
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_scoped_session = None
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_engine = None
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_connection_pool_lock = threading.Lock()
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# Cache für häufig abgerufene Daten
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_cache = {}
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_cache_lock = threading.Lock()
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_cache_ttl = {} # Time-to-live für Cache-Einträge
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# Alle exportierten Modelle
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__all__ = ['User', 'Printer', 'Job', 'Stats', 'SystemLog', 'Base', 'init_db', 'init_database', 'create_initial_admin', 'get_db_session', 'get_cached_session', 'clear_cache']
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# ===== DATENBANK-KONFIGURATION MIT WAL UND OPTIMIERUNGEN =====
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def configure_sqlite_for_production(dbapi_connection, connection_record):
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"""
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Konfiguriert SQLite für Produktionsumgebung mit WAL-Modus und Optimierungen.
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"""
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cursor = dbapi_connection.cursor()
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# WAL-Modus aktivieren (Write-Ahead Logging)
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cursor.execute("PRAGMA journal_mode=WAL")
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# Synchronous-Modus für bessere Performance bei WAL
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cursor.execute("PRAGMA synchronous=NORMAL")
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# Cache-Größe erhöhen (in KB, negative Werte = KB)
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cursor.execute("PRAGMA cache_size=-64000") # 64MB Cache
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# Memory-mapped I/O aktivieren
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cursor.execute("PRAGMA mmap_size=268435456") # 256MB
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# Temp-Store im Memory
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cursor.execute("PRAGMA temp_store=MEMORY")
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# Optimierungen für bessere Performance
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cursor.execute("PRAGMA optimize")
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# Foreign Key Constraints aktivieren
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cursor.execute("PRAGMA foreign_keys=ON")
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# Auto-Vacuum für automatische Speicherbereinigung
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cursor.execute("PRAGMA auto_vacuum=INCREMENTAL")
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# Busy Timeout für Concurrent Access
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cursor.execute("PRAGMA busy_timeout=30000") # 30 Sekunden
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# Checkpoint-Intervall für WAL
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cursor.execute("PRAGMA wal_autocheckpoint=1000")
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cursor.close()
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logger.info("SQLite für Produktionsumgebung konfiguriert (WAL-Modus, Cache, Optimierungen)")
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def create_optimized_engine():
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"""
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Erstellt eine optimierte SQLite-Engine mit Connection Pooling und WAL-Modus.
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"""
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global _engine
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if _engine is not None:
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return _engine
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with _connection_pool_lock:
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if _engine is not None:
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return _engine
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ensure_database_directory()
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# Connection String mit optimierten Parametern
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connection_string = f"sqlite:///{DATABASE_PATH}"
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# Engine mit Connection Pooling erstellen
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_engine = create_engine(
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connection_string,
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# Connection Pool Konfiguration
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poolclass=StaticPool,
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pool_pre_ping=True, # Verbindungen vor Nutzung testen
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pool_recycle=3600, # Verbindungen nach 1 Stunde erneuern
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connect_args={
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"check_same_thread": False, # Für Multi-Threading
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"timeout": 30, # Connection Timeout
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"isolation_level": None # Autocommit-Modus für bessere Kontrolle
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},
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# Echo für Debugging (in Produktion ausschalten)
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echo=False,
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# Weitere Optimierungen
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execution_options={
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"autocommit": False
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}
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)
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# Event-Listener für SQLite-Optimierungen
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event.listen(_engine, "connect", configure_sqlite_for_production)
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# Regelmäßige Wartungsaufgaben
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event.listen(_engine, "connect", lambda conn, rec: schedule_maintenance())
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logger.info(f"Optimierte SQLite-Engine erstellt: {DATABASE_PATH}")
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return _engine
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def schedule_maintenance():
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"""
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Plant regelmäßige Wartungsaufgaben für die Datenbank.
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"""
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def maintenance_worker():
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time.sleep(300) # 5 Minuten warten
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try:
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with get_maintenance_session() as session:
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# WAL-Checkpoint ausführen
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session.execute(text("PRAGMA wal_checkpoint(TRUNCATE)"))
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# Statistiken aktualisieren
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session.execute(text("ANALYZE"))
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# Incremental Vacuum
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session.execute(text("PRAGMA incremental_vacuum"))
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session.commit()
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logger.info("Datenbank-Wartung erfolgreich durchgeführt")
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except Exception as e:
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logger.error(f"Fehler bei Datenbank-Wartung: {str(e)}")
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# Wartung in separatem Thread ausführen
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maintenance_thread = threading.Thread(target=maintenance_worker, daemon=True)
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maintenance_thread.start()
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def get_session_factory():
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"""
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Gibt die Thread-sichere Session-Factory zurück.
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"""
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global _session_factory, _scoped_session
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if _session_factory is None:
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with _connection_pool_lock:
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if _session_factory is None:
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engine = create_optimized_engine()
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_session_factory = sessionmaker(
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bind=engine,
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autoflush=True,
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autocommit=False,
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expire_on_commit=False # Objekte nach Commit nicht expiren
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)
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_scoped_session = scoped_session(_session_factory)
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return _scoped_session
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@contextmanager
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def get_maintenance_session():
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"""
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Context Manager für Wartungs-Sessions.
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"""
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engine = create_optimized_engine()
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session = sessionmaker(bind=engine)()
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try:
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yield session
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except Exception as e:
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session.rollback()
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raise e
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finally:
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session.close()
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# ===== CACHING-SYSTEM =====
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def get_cache_key(model_class: str, identifier: Any, extra: str = "") -> str:
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"""
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Generiert einen Cache-Schlüssel.
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"""
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return f"{model_class}:{identifier}:{extra}"
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def set_cache(key: str, value: Any, ttl_seconds: int = 300):
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"""
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Setzt einen Wert im Cache mit TTL.
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"""
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with _cache_lock:
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_cache[key] = value
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_cache_ttl[key] = time.time() + ttl_seconds
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def get_cache(key: str) -> Optional[Any]:
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"""
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Holt einen Wert aus dem Cache.
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"""
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with _cache_lock:
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if key in _cache:
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if key in _cache_ttl and time.time() > _cache_ttl[key]:
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# Cache-Eintrag abgelaufen
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del _cache[key]
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del _cache_ttl[key]
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return None
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return _cache[key]
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return None
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def clear_cache(pattern: str = None):
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"""
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Löscht Cache-Einträge (optional mit Pattern).
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"""
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with _cache_lock:
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if pattern is None:
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_cache.clear()
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_cache_ttl.clear()
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else:
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keys_to_delete = [k for k in _cache.keys() if pattern in k]
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for key in keys_to_delete:
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del _cache[key]
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if key in _cache_ttl:
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del _cache_ttl[key]
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def invalidate_model_cache(model_class: str, identifier: Any = None):
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"""
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Invalidiert Cache-Einträge für ein bestimmtes Modell.
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"""
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if identifier is not None:
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pattern = f"{model_class}:{identifier}"
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else:
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pattern = f"{model_class}:"
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clear_cache(pattern)
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# ===== ERWEITERTE SESSION-VERWALTUNG =====
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@contextmanager
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def get_cached_session():
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"""
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Context Manager für gecachte Sessions mit automatischem Rollback.
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"""
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session_factory = get_session_factory()
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session = session_factory()
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try:
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yield session
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session.commit()
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except Exception as e:
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session.rollback()
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logger.error(f"Datenbank-Transaktion fehlgeschlagen: {str(e)}")
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raise e
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finally:
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session.close()
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def get_db_session() -> Session:
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"""
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Gibt eine neue Datenbank-Session zurück (Legacy-Kompatibilität).
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"""
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session_factory = get_session_factory()
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return session_factory()
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# ===== MODELL-DEFINITIONEN =====
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class User(UserMixin, Base):
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__tablename__ = "users"
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id = Column(Integer, primary_key=True)
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email = Column(String(120), unique=True, nullable=False)
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username = Column(String(100), unique=True, nullable=False) # Füge username hinzu für login
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password_hash = Column(String(128), nullable=False)
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name = Column(String(100), nullable=False)
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role = Column(String(20), default="user") # "admin" oder "user"
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active = Column(Boolean, default=True) # Für Flask-Login is_active
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created_at = Column(DateTime, default=datetime.now)
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last_login = Column(DateTime, nullable=True) # Letzter Login-Zeitstempel
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jobs = relationship("Job", back_populates="user", foreign_keys="Job.user_id", cascade="all, delete-orphan")
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owned_jobs = relationship("Job", foreign_keys="Job.owner_id", overlaps="owner")
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def set_password(self, password: str) -> None:
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password_bytes = password.encode('utf-8')
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salt = bcrypt.gensalt()
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self.password_hash = bcrypt.hashpw(password_bytes, salt).decode('utf-8')
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# Cache invalidieren
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invalidate_model_cache("User", self.id)
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def check_password(self, password: str) -> bool:
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password_bytes = password.encode('utf-8')
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hash_bytes = self.password_hash.encode('utf-8')
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return bcrypt.checkpw(password_bytes, hash_bytes)
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@property
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def is_admin(self) -> bool:
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return self.role == "admin"
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@property
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def is_active(self) -> bool:
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"""Required for Flask-Login"""
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return self.active
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def get_id(self) -> str:
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"""Required for Flask-Login - return user id as unicode string"""
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return str(self.id)
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def to_dict(self) -> dict:
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# Cache-Key für User-Dict
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cache_key = get_cache_key("User", self.id, "dict")
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cached_result = get_cache(cache_key)
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if cached_result is not None:
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return cached_result
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result = {
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"id": self.id,
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"email": self.email,
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"username": self.username,
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"name": self.name,
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"role": self.role,
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"active": self.active,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"last_login": self.last_login.isoformat() if self.last_login else None
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}
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# Ergebnis cachen (5 Minuten)
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set_cache(cache_key, result, 300)
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return result
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@classmethod
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def get_by_username_or_email(cls, identifier: str) -> Optional['User']:
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"""
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Holt einen Benutzer anhand von Username oder E-Mail mit Caching.
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"""
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cache_key = get_cache_key("User", identifier, "login")
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cached_user = get_cache(cache_key)
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if cached_user is not None:
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return cached_user
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with get_cached_session() as session:
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user = session.query(cls).filter(
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(cls.username == identifier) | (cls.email == identifier)
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).first()
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if user:
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# User für 10 Minuten cachen
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set_cache(cache_key, user, 600)
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return user
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def update_last_login(self):
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"""
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Aktualisiert den letzten Login-Zeitstempel.
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"""
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self.last_login = datetime.now()
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# Cache invalidieren
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invalidate_model_cache("User", self.id)
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class Printer(Base):
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__tablename__ = "printers"
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id = Column(Integer, primary_key=True)
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name = Column(String(100), nullable=False)
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model = Column(String(100)) # Drucker-Modell
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location = Column(String(100))
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ip_address = Column(String(50)) # IP-Adresse des Druckers
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mac_address = Column(String(50), nullable=False, unique=True)
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plug_ip = Column(String(50), nullable=False)
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plug_username = Column(String(100), nullable=False)
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plug_password = Column(String(100), nullable=False)
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status = Column(String(20), default="offline") # online, offline, busy, idle
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active = Column(Boolean, default=True)
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created_at = Column(DateTime, default=datetime.now)
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last_checked = Column(DateTime, nullable=True) # Zeitstempel der letzten Status-Überprüfung
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jobs = relationship("Job", back_populates="printer", cascade="all, delete-orphan")
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def to_dict(self) -> dict:
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# Cache-Key für Printer-Dict
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cache_key = get_cache_key("Printer", self.id, "dict")
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cached_result = get_cache(cache_key)
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if cached_result is not None:
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return cached_result
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result = {
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"id": self.id,
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"name": self.name,
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"model": self.model,
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"location": self.location,
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"ip_address": self.ip_address,
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"mac_address": self.mac_address,
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"plug_ip": self.plug_ip,
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"status": self.status,
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"active": self.active,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"last_checked": self.last_checked.isoformat() if self.last_checked else None
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}
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# Ergebnis cachen (2 Minuten für Drucker-Status)
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set_cache(cache_key, result, 120)
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return result
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def update_status(self, new_status: str, active: bool = None):
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"""
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Aktualisiert den Drucker-Status und invalidiert den Cache.
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"""
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self.status = new_status
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self.last_checked = datetime.now()
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if active is not None:
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self.active = active
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# Cache invalidieren
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invalidate_model_cache("Printer", self.id)
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@classmethod
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def get_all_cached(cls) -> List['Printer']:
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"""
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Holt alle Drucker mit Caching.
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"""
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cache_key = get_cache_key("Printer", "all", "list")
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cached_printers = get_cache(cache_key)
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if cached_printers is not None:
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return cached_printers
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with get_cached_session() as session:
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printers = session.query(cls).all()
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# Drucker für 5 Minuten cachen
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set_cache(cache_key, printers, 300)
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return printers
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@classmethod
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def get_online_printers(cls) -> List['Printer']:
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"""
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Holt alle online Drucker mit Caching.
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"""
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cache_key = get_cache_key("Printer", "online", "list")
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cached_printers = get_cache(cache_key)
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if cached_printers is not None:
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return cached_printers
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with get_cached_session() as session:
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printers = session.query(cls).filter(
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cls.status.in_(["online", "available", "idle"])
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).all()
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# Online-Drucker für 1 Minute cachen (häufiger aktualisiert)
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set_cache(cache_key, printers, 60)
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return printers
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class Job(Base):
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__tablename__ = "jobs"
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id = Column(Integer, primary_key=True)
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name = Column(String(200), nullable=False)
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description = Column(String(500)) # Beschreibung des Jobs
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user_id = Column(Integer, ForeignKey("users.id"), nullable=False)
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printer_id = Column(Integer, ForeignKey("printers.id"), nullable=False)
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start_at = Column(DateTime)
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end_at = Column(DateTime)
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actual_end_time = Column(DateTime)
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status = Column(String(20), default="scheduled") # scheduled|running|finished|aborted
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created_at = Column(DateTime, default=datetime.now)
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notes = Column(String(500))
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material_used = Column(Float) # in Gramm
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file_path = Column(String(500), nullable=True)
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owner_id = Column(Integer, ForeignKey("users.id"), nullable=True)
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duration_minutes = Column(Integer, nullable=False) # Dauer in Minuten
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user = relationship("User", back_populates="jobs", foreign_keys=[user_id])
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owner = relationship("User", foreign_keys=[owner_id], overlaps="owned_jobs")
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printer = relationship("Printer", back_populates="jobs")
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def to_dict(self) -> dict:
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# Cache-Key für Job-Dict
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cache_key = get_cache_key("Job", self.id, "dict")
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cached_result = get_cache(cache_key)
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if cached_result is not None:
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return cached_result
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result = {
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"id": self.id,
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"name": self.name,
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"description": self.description,
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"user_id": self.user_id,
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"printer_id": self.printer_id,
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"start_at": self.start_at.isoformat() if self.start_at else None,
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"end_at": self.end_at.isoformat() if self.end_at else None,
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"actual_end_time": self.actual_end_time.isoformat() if self.actual_end_time else None,
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"status": self.status,
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"created_at": self.created_at.isoformat() if self.created_at else None,
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"notes": self.notes,
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"material_used": self.material_used,
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"file_path": self.file_path,
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"owner_id": self.owner_id,
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"duration_minutes": self.duration_minutes,
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"user": self.user.to_dict() if self.user else None,
|
|
"printer": self.printer.to_dict() if self.printer else None
|
|
}
|
|
|
|
# Ergebnis cachen (3 Minuten für Jobs)
|
|
set_cache(cache_key, result, 180)
|
|
return result
|
|
|
|
def update_status(self, new_status: str):
|
|
"""
|
|
Aktualisiert den Job-Status und invalidiert den Cache.
|
|
"""
|
|
self.status = new_status
|
|
|
|
if new_status in ["finished", "failed", "cancelled"]:
|
|
self.actual_end_time = datetime.now()
|
|
|
|
# Cache invalidieren
|
|
invalidate_model_cache("Job", self.id)
|
|
# Auch User- und Printer-Caches invalidieren
|
|
invalidate_model_cache("User", self.user_id)
|
|
invalidate_model_cache("Printer", self.printer_id)
|
|
|
|
@classmethod
|
|
def get_active_jobs(cls) -> List['Job']:
|
|
"""
|
|
Holt alle aktiven Jobs mit Caching.
|
|
"""
|
|
cache_key = get_cache_key("Job", "active", "list")
|
|
cached_jobs = get_cache(cache_key)
|
|
|
|
if cached_jobs is not None:
|
|
return cached_jobs
|
|
|
|
with get_cached_session() as session:
|
|
jobs = session.query(cls).filter(
|
|
cls.status.in_(["scheduled", "running"])
|
|
).all()
|
|
|
|
# Aktive Jobs für 30 Sekunden cachen (häufig aktualisiert)
|
|
set_cache(cache_key, jobs, 30)
|
|
|
|
return jobs
|
|
|
|
@classmethod
|
|
def get_user_jobs(cls, user_id: int) -> List['Job']:
|
|
"""
|
|
Holt alle Jobs eines Benutzers mit Caching.
|
|
"""
|
|
cache_key = get_cache_key("Job", f"user_{user_id}", "list")
|
|
cached_jobs = get_cache(cache_key)
|
|
|
|
if cached_jobs is not None:
|
|
return cached_jobs
|
|
|
|
with get_cached_session() as session:
|
|
jobs = session.query(cls).filter(cls.user_id == user_id).all()
|
|
|
|
# Benutzer-Jobs für 5 Minuten cachen
|
|
set_cache(cache_key, jobs, 300)
|
|
|
|
return jobs
|
|
|
|
|
|
class Stats(Base):
|
|
__tablename__ = "stats"
|
|
|
|
id = Column(Integer, primary_key=True)
|
|
total_print_time = Column(Integer, default=0) # in Sekunden
|
|
total_jobs_completed = Column(Integer, default=0)
|
|
total_material_used = Column(Float, default=0.0) # in Gramm
|
|
last_updated = Column(DateTime, default=datetime.now)
|
|
|
|
def to_dict(self) -> dict:
|
|
# Cache-Key für Stats-Dict
|
|
cache_key = get_cache_key("Stats", self.id, "dict")
|
|
cached_result = get_cache(cache_key)
|
|
|
|
if cached_result is not None:
|
|
return cached_result
|
|
|
|
result = {
|
|
"id": self.id,
|
|
"total_print_time": self.total_print_time,
|
|
"total_jobs_completed": self.total_jobs_completed,
|
|
"total_material_used": self.total_material_used,
|
|
"last_updated": self.last_updated.isoformat() if self.last_updated else None
|
|
}
|
|
|
|
# Statistiken für 10 Minuten cachen
|
|
set_cache(cache_key, result, 600)
|
|
return result
|
|
|
|
|
|
class SystemLog(Base):
|
|
"""System-Log Modell für Logging von System-Events"""
|
|
__tablename__ = "system_logs"
|
|
|
|
id = Column(Integer, primary_key=True)
|
|
timestamp = Column(DateTime, default=datetime.now, nullable=False)
|
|
level = Column(String(20), nullable=False) # DEBUG, INFO, WARNING, ERROR, CRITICAL
|
|
message = Column(String(1000), nullable=False)
|
|
module = Column(String(100)) # Welches Modul/Blueprint den Log erstellt hat
|
|
user_id = Column(Integer, ForeignKey("users.id"), nullable=True) # Optional: welcher User
|
|
ip_address = Column(String(50)) # Optional: IP-Adresse
|
|
user_agent = Column(String(500)) # Optional: Browser/Client Info
|
|
|
|
user = relationship("User", foreign_keys=[user_id])
|
|
|
|
def to_dict(self) -> dict:
|
|
return {
|
|
"id": self.id,
|
|
"timestamp": self.timestamp.isoformat() if self.timestamp else None,
|
|
"level": self.level,
|
|
"message": self.message,
|
|
"module": self.module,
|
|
"user_id": self.user_id,
|
|
"ip_address": self.ip_address,
|
|
"user_agent": self.user_agent,
|
|
"user": self.user.to_dict() if self.user else None
|
|
}
|
|
|
|
@classmethod
|
|
def log_system_event(cls, level: str, message: str, module: str = None,
|
|
user_id: int = None, ip_address: str = None,
|
|
user_agent: str = None) -> 'SystemLog':
|
|
"""
|
|
Hilfsmethode zum Erstellen eines System-Log-Eintrags
|
|
|
|
Args:
|
|
level: Log-Level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
|
|
message: Log-Nachricht
|
|
module: Optional - Modul/Blueprint Name
|
|
user_id: Optional - Benutzer-ID
|
|
ip_address: Optional - IP-Adresse
|
|
user_agent: Optional - User-Agent String
|
|
|
|
Returns:
|
|
SystemLog: Das erstellte Log-Objekt
|
|
"""
|
|
return cls(
|
|
level=level.upper(),
|
|
message=message,
|
|
module=module,
|
|
user_id=user_id,
|
|
ip_address=ip_address,
|
|
user_agent=user_agent
|
|
)
|
|
|
|
|
|
# ===== DATENBANK-INITIALISIERUNG MIT OPTIMIERUNGEN =====
|
|
|
|
def init_db() -> None:
|
|
"""Initialisiert die Datenbank und erstellt alle Tabellen mit Optimierungen."""
|
|
ensure_database_directory()
|
|
engine = create_optimized_engine()
|
|
|
|
# Tabellen erstellen
|
|
Base.metadata.create_all(engine)
|
|
|
|
# Indizes für bessere Performance erstellen
|
|
with engine.connect() as conn:
|
|
# Index für User-Login
|
|
conn.execute(text("""
|
|
CREATE INDEX IF NOT EXISTS idx_users_username_email
|
|
ON users(username, email)
|
|
"""))
|
|
|
|
# Index für Job-Status und Zeiten
|
|
conn.execute(text("""
|
|
CREATE INDEX IF NOT EXISTS idx_jobs_status_times
|
|
ON jobs(status, start_at, end_at)
|
|
"""))
|
|
|
|
# Index für Printer-Status
|
|
conn.execute(text("""
|
|
CREATE INDEX IF NOT EXISTS idx_printers_status
|
|
ON printers(status, active)
|
|
"""))
|
|
|
|
# Index für System-Logs
|
|
conn.execute(text("""
|
|
CREATE INDEX IF NOT EXISTS idx_system_logs_timestamp
|
|
ON system_logs(timestamp, level)
|
|
"""))
|
|
|
|
conn.commit()
|
|
|
|
logger.info("Datenbank mit Optimierungen initialisiert")
|
|
|
|
|
|
def init_database() -> None:
|
|
"""Alias für init_db() - initialisiert die Datenbank und erstellt alle Tabellen."""
|
|
init_db()
|
|
|
|
|
|
def create_initial_admin(email: str = "admin@mercedes-benz.com", password: str = "744563017196A", name: str = "Administrator", username: str = "admin") -> bool:
|
|
"""
|
|
Erstellt einen initialen Admin-Benutzer, falls die Datenbank leer ist.
|
|
|
|
Args:
|
|
email: E-Mail-Adresse des Admins
|
|
password: Passwort des Admins
|
|
name: Name des Admins
|
|
username: Benutzername des Admins
|
|
|
|
Returns:
|
|
bool: True, wenn der Admin erstellt wurde, False sonst
|
|
"""
|
|
try:
|
|
with get_cached_session() as session:
|
|
# Prüfen, ob der Admin bereits existiert
|
|
admin = session.query(User).filter(User.email == email).first()
|
|
if admin:
|
|
# Admin existiert bereits, Passwort zurücksetzen
|
|
admin.set_password(password)
|
|
admin.role = "admin" # Sicherstellen, dass der Benutzer Admin-Rechte hat
|
|
admin.active = True # Sicherstellen, dass der Account aktiv ist
|
|
session.commit()
|
|
logger.info(f"Admin-Benutzer {username} ({email}) existiert bereits. Passwort wurde zurückgesetzt.")
|
|
return True
|
|
|
|
# Admin erstellen, wenn er nicht existiert
|
|
admin = User(
|
|
email=email,
|
|
username=username,
|
|
name=name,
|
|
role="admin",
|
|
active=True
|
|
)
|
|
admin.set_password(password)
|
|
|
|
session.add(admin)
|
|
session.commit()
|
|
|
|
# Statistik-Eintrag anlegen, falls noch nicht vorhanden
|
|
stats = session.query(Stats).first()
|
|
if not stats:
|
|
stats = Stats()
|
|
session.add(stats)
|
|
session.commit()
|
|
|
|
logger.info(f"Admin-Benutzer {username} ({email}) wurde angelegt.")
|
|
return True
|
|
|
|
except Exception as e:
|
|
logger.error(f"Fehler beim Erstellen des Admin-Benutzers: {str(e)}")
|
|
return False |