From 82d03f6c4814bd52c8d4878578d5517f645c969e Mon Sep 17 00:00:00 2001
From: Till Tomczak <till.tmk@gmail.com>
Date: Sat, 10 May 2025 23:12:51 +0200
Subject: [PATCH] "Refactor app. Update import/Improve Python Cython code
 formatting (#__"

---
 __pycache__/app.cpython-313.pyc | Bin 105332 -> 115387 bytes
 app.py                          | 231 ++++++++++++++++++++++++++++++++
 2 files changed, 231 insertions(+)

diff --git a/__pycache__/app.cpython-313.pyc b/__pycache__/app.cpython-313.pyc
index 656669f6373488a347de98f18f790ba8e3eb20e3..c7f01c4843f0294667400b7b7015bcee68df7aae 100644
GIT binary patch
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diff --git a/app.py b/app.py
index e73354b..9174fb7 100644
--- a/app.py
+++ b/app.py
@@ -2,6 +2,8 @@
 # -*- coding: utf-8 -*-
 
 import os
+import logging
+import traceback
 from datetime import datetime, timedelta, timezone
 from flask import Flask, render_template, request, redirect, url_for, flash, jsonify, session, g
 from flask_login import LoginManager, UserMixin, login_user, logout_user, login_required, current_user
@@ -47,6 +49,87 @@ app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
 app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(days=365)  # Langlebige Session für Dark Mode-Einstellung
 app.config['UPLOAD_FOLDER'] = os.getenv('UPLOAD_FOLDER', os.path.join(os.getcwd(), 'uploads'))
 
+# Logger-Konfiguration
+log_level = os.environ.get('LOG_LEVEL', 'INFO').upper()
+log_dir = os.path.join(basedir, 'logs')
+os.makedirs(log_dir, exist_ok=True)
+log_file = os.path.join(log_dir, 'app.log')
+
+# Handler für Datei-Logs
+file_handler = logging.FileHandler(log_file)
+file_handler.setFormatter(logging.Formatter(
+    '%(asctime)s %(levelname)s: %(message)s [in %(pathname)s:%(lineno)d]'
+))
+file_handler.setLevel(getattr(logging, log_level))
+
+# Handler für Konsolen-Logs
+console_handler = logging.StreamHandler()
+console_handler.setFormatter(logging.Formatter('%(levelname)s: %(message)s'))
+console_handler.setLevel(getattr(logging, log_level))
+
+# Konfiguriere App-Logger
+app.logger.addHandler(file_handler)
+app.logger.addHandler(console_handler)
+app.logger.setLevel(getattr(logging, log_level))
+app.logger.info('Anwendung gestartet')
+
+# Einheitliches Fehlerbehandlungssystem
+class ErrorHandler:
+    """Zentralisierte Fehlerbehandlung für die gesamte Anwendung"""
+    
+    @staticmethod
+    def log_exception(e, endpoint=None, code=500):
+        """Protokolliert eine Ausnahme mit Kontext-Informationen"""
+        # Stack-Trace für Debugging
+        trace = traceback.format_exc()
+        # Benutzer-Informationen (wenn verfügbar)
+        user_info = f"User: {current_user.id} ({current_user.username})" if current_user and current_user.is_authenticated else "Nicht angemeldet"
+        # Request-Informationen
+        request_info = f"Endpoint: {endpoint or request.path}, Method: {request.method}, IP: {request.remote_addr}"
+        # Vollständige Log-Nachricht
+        app.logger.error(f"Fehler {code}: {str(e)}\n{request_info}\n{user_info}\n{trace}")
+    
+    @staticmethod
+    def api_error(message, code=400, details=None):
+        """Erstellt eine standardisierte API-Fehlerantwort"""
+        response = {
+            'success': False,
+            'error': {
+                'code': code,
+                'message': message
+            }
+        }
+        if details:
+            response['error']['details'] = details
+        return jsonify(response), code
+    
+    @staticmethod
+    def handle_exception(e, is_api_request=False):
+        """Behandelt eine Ausnahme basierend auf ihrem Typ"""
+        # Bestimme, ob es sich um eine API-Anfrage handelt
+        if is_api_request is None:
+            is_api_request = request.path.startswith('/api/') or request.headers.get('Accept') == 'application/json'
+        
+        # Protokolliere die Ausnahme
+        ErrorHandler.log_exception(e)
+        
+        # Erstelle benutzerfreundliche Fehlermeldung
+        user_message = "Ein unerwarteter Fehler ist aufgetreten."
+        
+        if is_api_request:
+            # API-Antwort für Ausnahme
+            return ErrorHandler.api_error(user_message, 500)
+        else:
+            # Web-Antwort für Ausnahme (mit Flash-Nachricht)
+            flash(user_message, 'error')
+            return render_template('errors/500.html'), 500
+
+# Globaler Exception-Handler
+@app.errorhandler(Exception)
+def handle_unhandled_exception(e):
+    """Fängt alle unbehandelten Ausnahmen ab"""
+    return ErrorHandler.handle_exception(e)
+
 # OpenAI API-Konfiguration
 api_key = os.environ.get("OPENAI_API_KEY", "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")
 
@@ -2535,6 +2618,154 @@ def export_mindmap(mindmap_id):
             'message': f'Fehler beim Exportieren: {str(e)}'
         }), 500
 
+@app.route('/api/mindmap/<int:mindmap_id>/import', methods=['POST'])
+@login_required
+def import_mindmap(mindmap_id):
+    """
+    Importiert Daten in eine bestehende Mindmap.
+    
+    Die Daten können in verschiedenen Formaten (JSON, XML, CSV) hochgeladen werden.
+    """
+    try:
+        # Sicherheitscheck: Nur eigene Mindmaps können bearbeitet werden
+        mindmap = UserMindmap.query.get_or_404(mindmap_id)
+        
+        if mindmap.user_id != current_user.id:
+            return jsonify({
+                'success': False,
+                'message': 'Keine Berechtigung zum Bearbeiten dieser Mindmap'
+            }), 403
+        
+        # Prüfen, ob eine Datei hochgeladen wurde
+        if 'file' not in request.files:
+            return jsonify({
+                'success': False,
+                'message': 'Keine Datei ausgewählt'
+            }), 400
+            
+        file = request.files['file']
+        
+        if file.filename == '':
+            return jsonify({
+                'success': False,
+                'message': 'Keine Datei ausgewählt'
+            }), 400
+            
+        # Format anhand der Dateiendung erkennen
+        file_ext = file.filename.rsplit('.', 1)[1].lower() if '.' in file.filename else None
+        
+        if file_ext not in ['json', 'xml', 'csv']:
+            return jsonify({
+                'success': False,
+                'message': f'Nicht unterstütztes Dateiformat: {file_ext}'
+            }), 400
+            
+        # Datei einlesen
+        import_data = None
+        
+        if file_ext == 'json':
+            import_data = json.loads(file.read().decode('utf-8'))
+        elif file_ext == 'xml':
+            import xml.etree.ElementTree as ET
+            import xmltodict
+            xml_data = file.read().decode('utf-8')
+            import_data = xmltodict.parse(xml_data)
+        elif file_ext == 'csv':
+            import io
+            import csv
+            csv_data = file.read().decode('utf-8')
+            reader = csv.DictReader(io.StringIO(csv_data))
+            nodes = []
+            for row in reader:
+                nodes.append(row)
+            import_data = {'nodes': nodes}
+        
+        # Daten in die Mindmap importieren
+        if 'nodes' in import_data:
+            # Bestehende Knoten in der Mindmap für Referenz
+            existing_nodes = db.session.query(
+                UserMindmapNode.node_id
+            ).filter_by(
+                user_mindmap_id=mindmap_id
+            ).all()
+            existing_node_ids = [n[0] for n in existing_nodes]
+            
+            # Mapping von alten zu neuen Knoten-IDs für importierte Knoten
+            id_mapping = {}
+            
+            # Knoten importieren
+            for node_data in import_data.get('nodes', []):
+                # Prüfen, ob es sich um Stringkeys (aus CSV) oder Dict (aus JSON) handelt
+                if isinstance(node_data, dict):
+                    node_name = node_data.get('name')
+                    node_desc = node_data.get('description', '')
+                    node_color = node_data.get('color_code', '#9F7AEA')
+                    x_pos = float(node_data.get('x_position', 0))
+                    y_pos = float(node_data.get('y_position', 0))
+                    node_scale = float(node_data.get('scale', 1.0))
+                    old_id = node_data.get('id')
+                else:
+                    # Fallback für andere Formate
+                    continue
+                
+                # Neuen Knoten erstellen, wenn nötig
+                new_node = MindMapNode(
+                    name=node_name,
+                    description=node_desc,
+                    color_code=node_color
+                )
+                db.session.add(new_node)
+                db.session.flush()  # ID generieren
+                
+                # Verknüpfung zur Mindmap erstellen
+                user_node = UserMindmapNode(
+                    user_mindmap_id=mindmap_id,
+                    node_id=new_node.id,
+                    x_position=x_pos,
+                    y_position=y_pos,
+                    scale=node_scale
+                )
+                db.session.add(user_node)
+                
+                # ID-Mapping für Beziehungen speichern
+                if old_id:
+                    id_mapping[old_id] = new_node.id
+            
+            # Beziehungen zwischen Knoten importieren
+            for rel in import_data.get('relationships', []):
+                source_id = rel.get('source')
+                target_id = rel.get('target')
+                
+                if source_id in id_mapping and target_id in id_mapping:
+                    # Knoten-Objekte holen
+                    source_node = MindMapNode.query.get(id_mapping[source_id])
+                    target_node = MindMapNode.query.get(id_mapping[target_id])
+                    
+                    if source_node and target_node:
+                        # Beziehung erstellen
+                        source_node.children.append(target_node)
+            
+            db.session.commit()
+            
+            return jsonify({
+                'success': True,
+                'message': f'{len(import_data.get("nodes", []))} Knoten erfolgreich importiert'
+            })
+            
+        else:
+            return jsonify({
+                'success': False,
+                'message': 'Keine Knotendaten in der Importdatei gefunden'
+            }), 400
+            
+    except Exception as e:
+        db.session.rollback()
+        print(f"Fehler beim Importieren der Mindmap: {str(e)}")
+        return jsonify({
+            'success': False,
+            'message': f'Fehler beim Importieren: {str(e)}'
+        }), 500
+
 # Automatische Datenbankinitialisierung - Aktualisiert für Flask 2.2+ Kompatibilität
 def initialize_app():
     """Initialisierung der Anwendung"""