483 lines
18 KiB
Python
483 lines
18 KiB
Python
from flask import Flask, render_template, request, jsonify, url_for, redirect, session
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import pandas as pd
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import os
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import logging
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import numpy as np
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from datetime import datetime, timedelta
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from dotenv import load_dotenv
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import requests
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from collections import defaultdict
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import ipaddress
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import csv
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import sqlite3
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from functools import wraps
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app = Flask(__name__, static_folder='static')
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app.secret_key = os.getenv('SECRET_KEY', 'default-secret-key')
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Version der Anwendung
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VERSION = "1.2.11"
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# Pfad zur Datenbank
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DB_FILE = 'data/customers.db'
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# Lade Umgebungsvariablen
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load_dotenv()
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# Statisches Passwort aus der .env Datei
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STATIC_PASSWORD = os.getenv('LOGIN_PASSWORD', 'default-password')
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ALLOWED_IP_RANGES = os.getenv('ALLOWED_IP_RANGES', '').split(',')
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def get_db_connection():
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"""Erstellt eine neue Datenbankverbindung mit Timeout"""
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conn = sqlite3.connect(DB_FILE, timeout=20)
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conn.row_factory = sqlite3.Row
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return conn
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def init_db():
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"""Initialisiert die SQLite-Datenbank mit der notwendigen Tabelle."""
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conn = get_db_connection()
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c = conn.cursor()
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try:
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# Erstelle die Kunden-Tabelle
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c.execute('''
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CREATE TABLE IF NOT EXISTS customers (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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nummer TEXT,
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name TEXT,
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strasse TEXT,
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plz TEXT,
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ort TEXT,
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telefon TEXT,
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mobil TEXT,
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email TEXT,
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bemerkung TEXT,
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fachrichtung TEXT,
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tag TEXT,
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handy TEXT,
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tele_firma TEXT,
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kontakt1 TEXT,
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kontakt2 TEXT,
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kontakt3 TEXT
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)
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''')
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# Erstelle Indizes für alle Suchfelder
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_nummer ON customers(nummer)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_name ON customers(name)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_strasse ON customers(strasse)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_plz ON customers(plz)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_ort ON customers(ort)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_telefon ON customers(telefon)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_mobil ON customers(mobil)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_email ON customers(email)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_fachrichtung ON customers(fachrichtung)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_tag ON customers(tag)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_handy ON customers(handy)')
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_tele_firma ON customers(tele_firma)')
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# Erstelle einen zusammengesetzten Index für die häufigste Suchkombination
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c.execute('CREATE INDEX IF NOT EXISTS idx_customers_name_ort ON customers(name, ort)')
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conn.commit()
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logger.info('Datenbank initialisiert')
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except Exception as e:
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logger.error(f'Fehler bei der Datenbankinitialisierung: {str(e)}')
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raise
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finally:
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conn.close()
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def import_csv():
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"""Importiert die CSV-Datei in die Datenbank"""
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conn = None
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try:
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conn = get_db_connection()
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c = conn.cursor()
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# Lösche bestehende Daten
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c.execute('DELETE FROM customers')
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# Importiere MEDISOFT-Daten
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if os.path.exists('data/customers.csv'):
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logger.info("Importiere MEDISOFT-Daten...")
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df = pd.read_csv('data/customers.csv', encoding='iso-8859-1')
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df.columns = df.columns.str.strip().str.replace('"', '')
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df = df.apply(lambda x: x.str.strip().str.replace('"', '') if x.dtype == "object" else x)
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for _, row in df.iterrows():
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c.execute('''
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INSERT INTO customers (
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name, nummer, strasse, plz, ort, telefon, mobil, email,
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fachrichtung, tag, handy, tele_firma, kontakt1, kontakt2, kontakt3
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)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'],
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row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'medisoft',
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row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
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))
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else:
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logger.warning("MEDISOFT CSV-Datei nicht gefunden")
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# Importiere MEDICONSULT-Daten
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if os.path.exists('data/customers_snk.csv'):
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logger.info("Importiere MEDICONSULT-Daten...")
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df_snk = pd.read_csv('data/customers_snk.csv', encoding='iso-8859-1')
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df_snk.columns = df_snk.columns.str.strip().str.replace('"', '')
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df_snk = df_snk.apply(lambda x: x.str.strip().str.replace('"', '') if x.dtype == "object" else x)
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for _, row in df_snk.iterrows():
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c.execute('''
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INSERT INTO customers (
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name, nummer, strasse, plz, ort, telefon, mobil, email,
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fachrichtung, tag, handy, tele_firma, kontakt1, kontakt2, kontakt3
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)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'],
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row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'mediconsult',
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row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
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))
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else:
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logger.warning("MEDICONSULT CSV-Datei nicht gefunden")
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conn.commit()
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logger.info("CSV-Daten erfolgreich in die Datenbank importiert")
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except Exception as e:
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logger.error(f"Fehler beim Importieren der CSV-Datei: {str(e)}")
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raise
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finally:
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if conn:
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conn.close()
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def search_customers():
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try:
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if request.method == 'POST':
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data = request.get_json()
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query = data.get('query', '')
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tag = data.get('tag', 'medisoft')
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else:
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query = request.args.get('q', '')
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name = request.args.get('name', '')
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ort = request.args.get('ort', '')
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nummer = request.args.get('nummer', '')
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plz = request.args.get('plz', '')
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fachrichtung = request.args.get('fachrichtung', '')
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operator = request.args.get('operator', 'or')
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tag = request.args.get('tag', 'medisoft')
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conn = get_db_connection()
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c = conn.cursor()
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# Basis-SQL-Query
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sql = '''
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SELECT
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c.nummer,
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c.name,
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c.strasse,
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c.plz,
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c.ort,
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c.telefon,
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c.mobil,
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c.email,
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c.fachrichtung,
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c.tag,
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c.handy,
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c.tele_firma,
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c.kontakt1,
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c.kontakt2,
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c.kontakt3
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FROM customers c
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WHERE 1=1
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'''
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params = []
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if request.method == 'POST':
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if query:
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sql += ''' AND (
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c.name LIKE ? OR
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c.nummer LIKE ? OR
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c.strasse LIKE ? OR
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c.plz LIKE ? OR
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c.ort LIKE ? OR
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c.telefon LIKE ? OR
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c.mobil LIKE ? OR
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c.email LIKE ? OR
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c.fachrichtung LIKE ?
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)'''
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search_pattern = f'%{query}%'
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params.extend([search_pattern] * 9)
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else:
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# Suchbedingungen für GET-Request
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conditions = []
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if query:
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search_terms = query.split()
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if operator == 'and':
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for term in search_terms:
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conditions.append('''
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(c.name LIKE ? OR c.nummer LIKE ? OR c.strasse LIKE ?
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OR c.plz LIKE ? OR c.ort LIKE ? OR c.telefon LIKE ?
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OR c.mobil LIKE ? OR c.email LIKE ? OR c.fachrichtung LIKE ?)
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''')
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params.extend([f'%{term}%'] * 9)
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else:
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term_conditions = []
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for term in search_terms:
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term_conditions.append('''
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(c.name LIKE ? OR c.nummer LIKE ? OR c.strasse LIKE ?
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OR c.plz LIKE ? OR c.ort LIKE ? OR c.telefon LIKE ?
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OR c.mobil LIKE ? OR c.email LIKE ? OR c.fachrichtung LIKE ?)
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''')
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params.extend([f'%{term}%'] * 9)
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conditions.append('(' + ' OR '.join(term_conditions) + ')')
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if name:
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conditions.append('c.name LIKE ?')
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params.append(f'%{name}%')
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if ort:
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conditions.append('c.ort LIKE ?')
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params.append(f'%{ort}%')
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if nummer:
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conditions.append('c.nummer LIKE ?')
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params.append(f'%{nummer}%')
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if plz:
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conditions.append('c.plz LIKE ?')
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params.append(f'%{plz}%')
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if fachrichtung:
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conditions.append('c.fachrichtung LIKE ?')
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params.append(f'%{fachrichtung}%')
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if conditions:
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sql += ' AND ' + ' AND '.join(conditions)
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# Füge Tag-Filter hinzu, wenn nicht 'all' ausgewählt ist
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if tag != 'all':
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sql += ' AND c.tag = ?'
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params.append(tag)
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sql += ' ORDER BY c.name'
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c.execute(sql, params)
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results = c.fetchall()
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formatted_results = []
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for row in results:
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customer = {
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'nummer': row[0],
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'name': row[1],
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'strasse': row[2],
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'plz': row[3],
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'ort': row[4],
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'telefon': row[5],
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'mobil': row[6],
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'email': row[7],
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'fachrichtung': row[8],
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'tag': row[9],
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'handy': row[10],
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'tele_firma': row[11],
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'kontakt1': row[12],
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'kontakt2': row[13],
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'kontakt3': row[14]
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}
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formatted_results.append(customer)
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conn.close()
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return jsonify(formatted_results)
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except Exception as e:
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print(f"Fehler bei der Suche: {str(e)}")
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return jsonify({'error': str(e)}), 500
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def clean_dataframe(df):
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"""Konvertiert NaN-Werte in None für JSON-Kompatibilität"""
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return df.replace({np.nan: None})
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@app.route('/login', methods=['GET', 'POST'])
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def login():
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# Versuche, die tatsächliche Client-IP aus dem X-Forwarded-For-Header zu erhalten
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client_ip = request.headers.get('X-Forwarded-For', request.remote_addr)
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allowed_ip_ranges = os.getenv('ALLOWED_IP_RANGES', '').split(',')
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logger.info(f"Client-IP: {client_ip}")
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logger.info(f"Erlaubte IP-Bereiche: {allowed_ip_ranges}")
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logger.info(f"Session Status: {session}")
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# Überprüfen, ob die IP-Adresse in einem der erlaubten Subnetze liegt
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client_ip_obj = ipaddress.ip_address(client_ip)
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for ip_range in allowed_ip_ranges:
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try:
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network = ipaddress.ip_network(ip_range.strip(), strict=False)
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logger.info(f"Überprüfe Netzwerk: {network}")
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if client_ip_obj in network:
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logger.info("Client-IP ist im erlaubten Bereich.")
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session['logged_in'] = True
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session.permanent = True # Session bleibt bestehen
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return redirect(url_for('index'))
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except ValueError:
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logger.error(f"Ungültiges Netzwerkformat: {ip_range}")
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if request.method == 'POST':
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password = request.form.get('password')
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logger.info(f"Login-Versuch mit Passwort: {'*' * len(password) if password else 'None'}")
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if password == STATIC_PASSWORD:
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session['logged_in'] = True
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session.permanent = True # Session bleibt bestehen
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logger.info("Login erfolgreich, Session gesetzt")
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return redirect(url_for('index'))
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else:
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logger.warning("Falsches Passwort eingegeben")
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return render_template('login.html', error="Falsches Passwort")
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logger.info("Zeige Login-Seite")
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return render_template('login.html')
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@app.route('/')
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def index():
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logger.info(f"Index-Route aufgerufen. Session Status: {session}")
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if not session.get('logged_in'):
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logger.info("Benutzer nicht eingeloggt, Weiterleitung zum Login")
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return redirect(url_for('login'))
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allowed_ip_ranges = os.getenv('ALLOWED_IP_RANGES', '')
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client_ip = request.headers.get('X-Forwarded-For', request.remote_addr)
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logger.info(f"Client-IP: {client_ip}")
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logger.info(f"Erlaubte IP-Bereiche: {allowed_ip_ranges}")
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return render_template('index.html', allowed_ip_ranges=allowed_ip_ranges, version=VERSION)
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@app.route('/search', methods=['GET', 'POST'])
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def search():
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if not session.get('logged_in'):
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return jsonify({'error': 'Nicht eingeloggt'}), 401
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try:
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# Hole die Suchparameter
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q = request.args.get('q', '').strip()
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name = request.args.get('name', '').strip()
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ort = request.args.get('ort', '').strip()
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nummer = request.args.get('nummer', '').strip()
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plz = request.args.get('plz', '').strip()
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fachrichtung = request.args.get('fachrichtung', '').strip()
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selected_tag = request.args.get('tag', 'medisoft')
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# Baue die SQL-Abfrage
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query = '''
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SELECT
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nummer,
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name,
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strasse,
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plz,
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ort,
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telefon,
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mobil,
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email,
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fachrichtung,
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tag,
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handy,
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tele_firma,
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kontakt1,
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kontakt2,
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kontakt3
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FROM customers
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WHERE 1=1
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'''
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params = []
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# Füge die Suchbedingungen hinzu
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if q:
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query += " AND (name LIKE ? OR ort LIKE ? OR nummer LIKE ? OR strasse LIKE ? OR fachrichtung LIKE ?)"
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search_term = f"%{q}%"
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params.extend([search_term, search_term, search_term, search_term, search_term])
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if name:
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query += " AND name LIKE ?"
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params.append(f"%{name}%")
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if ort:
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query += " AND ort LIKE ?"
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params.append(f"%{ort}%")
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if nummer:
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query += " AND nummer LIKE ?"
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params.append(f"%{nummer}%")
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if plz:
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query += " AND plz LIKE ?"
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params.append(f"%{plz}%")
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if fachrichtung:
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query += " AND fachrichtung LIKE ?"
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params.append(f"%{fachrichtung}%")
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# Filter nach Tag
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if selected_tag != 'all':
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query += " AND tag = ?"
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params.append(selected_tag)
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# Führe die Abfrage aus
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conn = get_db_connection()
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cursor = conn.cursor()
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cursor.execute(query, params)
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results = cursor.fetchall()
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# Formatiere die Ergebnisse
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customers = []
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for row in results:
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customer = {
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'nummer': row[0],
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'name': row[1],
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'strasse': row[2],
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'plz': row[3],
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'ort': row[4],
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'telefon': row[5],
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'mobil': row[6],
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'email': row[7],
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'fachrichtung': row[8],
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'tag': row[9],
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'handy': row[10],
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'tele_firma': row[11],
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'kontakt1': row[12],
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'kontakt2': row[13],
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'kontakt3': row[14]
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}
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customers.append(customer)
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conn.close()
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return jsonify(customers)
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except Exception as e:
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logger.error(f"Fehler bei der Suche: {str(e)}")
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return jsonify({'error': str(e)}), 500
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def init_app(app):
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"""Initialisiert die Anwendung mit allen notwendigen Einstellungen."""
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with app.app_context():
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try:
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# Stelle sicher, dass der data-Ordner existiert
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os.makedirs('data', exist_ok=True)
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# Lösche die alte Datenbank, falls sie existiert
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if os.path.exists(DB_FILE):
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try:
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os.remove(DB_FILE)
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logger.info(f"Alte Datenbank {DB_FILE} wurde gelöscht")
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except Exception as e:
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logger.error(f"Fehler beim Löschen der alten Datenbank: {str(e)}")
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# Initialisiere die Datenbank
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init_db()
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# Importiere die CSV-Daten
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import_csv()
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logger.info("Anwendung erfolgreich initialisiert")
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except Exception as e:
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logger.error(f"Fehler bei der Initialisierung: {str(e)}")
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raise
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# Initialisiere die App
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init_app(app)
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if __name__ == '__main__':
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app.run(debug=True, port=5001) |