Test

CHANGELOG.md

@@ -13,9 +13,9 @@ und dieses Projekt adhäriert zu [Semantic Versioning](https://semver.org/lang/d
 
 ## [1.2.16] - 2024-03-21
 ### Geändert
-- Verbesserte Darstellung der Suchergebnisse mit rechtsbündigen Aktionen
-- Optimierte CSS-Styles für bessere Lesbarkeit und Layout
-- JavaScript-Code in separate Datei ausgelagert für bessere Wartbarkeit
+- Verbesserte Suchfunktion: Highlighting für allgemeine Suche in allen Feldern
+- Optimierte Reset-Buttons in den Suchfeldern
+- Verbesserte CSS-Styles für die Suchfeld-Icons
 
 ## [1.2.15] - 2024-03-20
 ### Hinzugefügt

app.py

@@ -5,59 +5,48 @@ import logging
 import numpy as np
 from datetime import datetime, timedelta
 from dotenv import load_dotenv
-import requests
-from collections import defaultdict
-import ipaddress
-import csv
 import sqlite3
 from functools import wraps
+from contextlib import contextmanager
+import time
+import threading
 
 app = Flask(__name__, static_folder='static')
-app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', 'dev')
+app.config['SECRET_KEY'] = os.environ.get('SECRET_KEY', 'dev')
 app.config['ALLOWED_IP_RANGES'] = os.getenv('ALLOWED_IP_RANGES', '192.168.0.0/16,10.0.0.0/8').split(',')
-app.config['VERSION'] = '1.2.16'
+app.config['VERSION'] = '1.2.17'
+app.config['DATABASE'] = 'data/customers.db'
+app.config['DATABASE_TIMEOUT'] = 20
+app.config['DATABASE_POOL_SIZE'] = 5
+
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Pfad zur Datenbank
-DB_FILE = 'data/customers.db'
-
-# Lade Umgebungsvariablen
-load_dotenv()
-
-# Statisches Passwort aus der .env Datei
-STATIC_PASSWORD = os.getenv('LOGIN_PASSWORD', 'default-password')
-
-def isIPInSubnet(ip, subnet):
-    """Überprüft, ob eine IP-Adresse in einem Subnetz liegt."""
-    try:
-        # Teile die IP und das Subnetz in ihre Komponenten
-        subnet_ip, bits = subnet.split('/')
-        ip_parts = [int(x) for x in ip.split('.')]
-        subnet_parts = [int(x) for x in subnet_ip.split('.')]
-        
-        # Konvertiere IPs in 32-bit Zahlen
-        ip_num = (ip_parts[0] << 24) | (ip_parts[1] << 16) | (ip_parts[2] << 8) | ip_parts[3]
-        subnet_num = (subnet_parts[0] << 24) | (subnet_parts[1] << 16) | (subnet_parts[2] << 8) | subnet_parts[3]
-        
-        # Erstelle die Subnetzmaske
-        mask = ~((1 << (32 - int(bits))) - 1)
-        
-        # Prüfe, ob die IP im Subnetz liegt
-        return (ip_num & mask) == (subnet_num & mask)
-    except Exception as e:
-        logger.error(f"Fehler bei der IP-Überprüfung: {str(e)}")
-        return False
+# Thread-lokaler Speicher für Datenbankverbindungen
+thread_local = threading.local()
 
 def get_db_connection():
-    """Erstellt eine neue Datenbankverbindung mit Timeout"""
-    conn = sqlite3.connect(DB_FILE, timeout=20)
-    conn.row_factory = sqlite3.Row
-    return conn
+    """Erstellt eine neue Datenbankverbindung für den aktuellen Thread"""
+    if not hasattr(thread_local, "connection"):
+        thread_local.connection = sqlite3.connect(app.config['DATABASE'], timeout=app.config['DATABASE_TIMEOUT'])
+        thread_local.connection.row_factory = sqlite3.Row
+    return thread_local.connection
+
+@contextmanager
+def get_db():
+    """Context Manager für Datenbankverbindungen"""
+    conn = get_db_connection()
+    try:
+        yield conn
+    except Exception:
+        conn.rollback()
+        raise
+    finally:
+        conn.commit()
 
 def init_db():
     """Initialisiert die SQLite-Datenbank mit der notwendigen Tabelle."""
-    conn = get_db_connection()
+    with get_db() as conn:
         c = conn.cursor()
         
         try:
@@ -84,36 +73,45 @@ def init_db():
                 )
             ''')
             
-        # Erstelle Indizes für alle Suchfelder
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_nummer ON customers(nummer)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_name ON customers(name)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_strasse ON customers(strasse)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_plz ON customers(plz)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_ort ON customers(ort)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_telefon ON customers(telefon)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_mobil ON customers(mobil)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_email ON customers(email)')
+            # Optimierte Indizes für die häufigsten Suchanfragen
+            c.execute('CREATE INDEX IF NOT EXISTS idx_customers_name_ort ON customers(name, ort)')
             c.execute('CREATE INDEX IF NOT EXISTS idx_customers_fachrichtung ON customers(fachrichtung)')
             c.execute('CREATE INDEX IF NOT EXISTS idx_customers_tag ON customers(tag)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_handy ON customers(handy)')
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_tele_firma ON customers(tele_firma)')
+            c.execute('CREATE INDEX IF NOT EXISTS idx_customers_plz ON customers(plz)')
             
-        # Erstelle einen zusammengesetzten Index für die häufigste Suchkombination
-        c.execute('CREATE INDEX IF NOT EXISTS idx_customers_name_ort ON customers(name, ort)')
+            # Zusammengesetzter Index für die häufigste Suchkombination
+            c.execute('CREATE INDEX IF NOT EXISTS idx_customers_search ON customers(name, ort, fachrichtung, tag)')
             
-        conn.commit()
             logger.info('Datenbank initialisiert')
         except Exception as e:
             logger.error(f'Fehler bei der Datenbankinitialisierung: {str(e)}')
             raise
-    finally:
-        conn.close()
+
+def isIPInSubnet(ip, subnet):
+    """Überprüft, ob eine IP-Adresse in einem Subnetz liegt."""
+    try:
+        # Teile die IP und das Subnetz in ihre Komponenten
+        subnet_ip, bits = subnet.split('/')
+        ip_parts = [int(x) for x in ip.split('.')]
+        subnet_parts = [int(x) for x in subnet_ip.split('.')]
+        
+        # Konvertiere IPs in 32-bit Zahlen
+        ip_num = (ip_parts[0] << 24) | (ip_parts[1] << 16) | (ip_parts[2] << 8) | ip_parts[3]
+        subnet_num = (subnet_parts[0] << 24) | (subnet_parts[1] << 16) | (subnet_parts[2] << 8) | subnet_parts[3]
+        
+        # Erstelle die Subnetzmaske
+        mask = ~((1 << (32 - int(bits))) - 1)
+        
+        # Prüfe, ob die IP im Subnetz liegt
+        return (ip_num & mask) == (subnet_num & mask)
+    except Exception as e:
+        logger.error(f"Fehler bei der IP-Überprüfung: {str(e)}")
+        return False
 
 def import_csv():
     """Importiert die CSV-Datei in die Datenbank"""
-    conn = None
     try:
-        conn = get_db_connection()
+        with get_db() as conn:
             c = conn.cursor()
             
             # Lösche bestehende Daten
@@ -126,18 +124,24 @@ def import_csv():
                 df.columns = df.columns.str.strip().str.replace('"', '')
                 df = df.apply(lambda x: x.str.strip().str.replace('"', '') if x.dtype == "object" else x)
                 
-            for _, row in df.iterrows():
-                c.execute('''
+                # Filtere Datensätze mit Fachrichtung "intern"
+                df = df[df['Fachrichtung'].str.lower() != 'intern']
+                
+                # Bereite die Daten für den Batch-Insert vor
+                data = [(
+                    row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'], 
+                    row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'medisoft',
+                    row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
+                ) for _, row in df.iterrows()]
+                
+                # Führe Batch-Insert durch
+                c.executemany('''
                     INSERT INTO customers (
                         name, nummer, strasse, plz, ort, telefon, mobil, email, 
                         fachrichtung, tag, handy, tele_firma, kontakt1, kontakt2, kontakt3
                     )
                     VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-                ''', (
-                    row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'], 
-                    row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'medisoft',
-                    row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
-                ))
+                ''', data)
             else:
                 logger.warning("MEDISOFT CSV-Datei nicht gefunden")
             
@@ -148,33 +152,31 @@ def import_csv():
                 df_snk.columns = df_snk.columns.str.strip().str.replace('"', '')
                 df_snk = df_snk.apply(lambda x: x.str.strip().str.replace('"', '') if x.dtype == "object" else x)
                 
-            for _, row in df_snk.iterrows():
-                c.execute('''
+                # Filtere Datensätze mit Fachrichtung "intern"
+                df_snk = df_snk[df_snk['Fachrichtung'].str.lower() != 'intern']
+                
+                # Bereite die Daten für den Batch-Insert vor
+                data = [(
+                    row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'], 
+                    row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'mediconsult',
+                    row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
+                ) for _, row in df_snk.iterrows()]
+                
+                # Führe Batch-Insert durch
+                c.executemany('''
                     INSERT INTO customers (
                         name, nummer, strasse, plz, ort, telefon, mobil, email, 
                         fachrichtung, tag, handy, tele_firma, kontakt1, kontakt2, kontakt3
                     )
                     VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
-                ''', (
-                    row['VorNachname'], row['Nummer'], row['Strasse'], row['PLZ'], row['Ort'], 
-                    row['Tel'], row['Tel'], row['mail'], row['Fachrichtung'], 'mediconsult',
-                    row['Handy'], row['Tele Firma'], row['Kontakt1'], row['Kontakt2'], row['Kontakt3']
-                ))
+                ''', data)
             else:
                 logger.warning("MEDICONSULT CSV-Datei nicht gefunden")
             
-        conn.commit()
             logger.info("CSV-Daten erfolgreich in die Datenbank importiert")
     except Exception as e:
         logger.error(f"Fehler beim Importieren der CSV-Datei: {str(e)}")
         raise
-    finally:
-        if conn:
-            conn.close()
-
-def clean_dataframe(df):
-    """Konvertiert NaN-Werte in None für JSON-Kompatibilität"""
-    return df.replace({np.nan: None})
 
 @app.route('/login', methods=['GET', 'POST'])
 def login():
@@ -191,7 +193,7 @@ def login():
     
     if request.method == 'POST':
         password = request.form.get('password')
-        if password == STATIC_PASSWORD:
+        if password == os.environ.get('LOGIN_PASSWORD'):
             session['logged_in'] = True
             logger.info("Erfolgreicher Login")
             return redirect(url_for('index'))
@@ -233,7 +235,7 @@ def search():
             fachrichtung = request.args.get('fachrichtung', '')
             tag = request.args.get('tag', 'medisoft')
             
-        conn = get_db_connection()
+        with get_db() as conn:
             c = conn.cursor()
             
             # Baue die SQL-Abfrage
@@ -314,9 +316,8 @@ def search():
             sql_query += " ORDER BY name LIMIT 100"
             
             # Führe die Abfrage aus
-        cursor = conn.cursor()
-        cursor.execute(sql_query, params)
-        results = cursor.fetchall()
+            c.execute(sql_query, params)
+            results = c.fetchall()
             
             formatted_results = []
             for row in results:
@@ -339,7 +340,6 @@ def search():
                 }
                 formatted_results.append(customer)
                 
-        conn.close()
             return jsonify(formatted_results)
             
     except Exception as e:
@@ -350,7 +350,7 @@ def search():
 def get_fachrichtungen():
     try:
         search_term = request.args.get('q', '').lower()
-        conn = get_db_connection()
+        with get_db() as conn:
             c = conn.cursor()
             
             # Hole alle eindeutigen Fachrichtungen, die mit dem Suchbegriff übereinstimmen
@@ -365,8 +365,6 @@ def get_fachrichtungen():
             ''', (f'%{search_term}%',))
             
             fachrichtungen = [row[0] for row in c.fetchall()]
-        conn.close()
-        
             return jsonify(fachrichtungen)
     except Exception as e:
         logger.error(f"Fehler beim Abrufen der Fachrichtungen: {str(e)}")
@@ -376,7 +374,7 @@ def get_fachrichtungen():
 def get_orte():
     try:
         search_term = request.args.get('q', '').lower()
-        conn = get_db_connection()
+        with get_db() as conn:
             c = conn.cursor()
             
             # Hole alle eindeutigen Orte, die mit dem Suchbegriff übereinstimmen
@@ -391,8 +389,6 @@ def get_orte():
             ''', (f'%{search_term}%',))
             
             orte = [row[0] for row in c.fetchall()]
-        conn.close()
-        
             return jsonify(orte)
     except Exception as e:
         logger.error(f"Fehler beim Abrufen der Orte: {str(e)}")
@@ -406,10 +402,10 @@ def init_app(app):
             os.makedirs('data', exist_ok=True)
             
             # Lösche die alte Datenbank, falls sie existiert
-            if os.path.exists(DB_FILE):
+            if os.path.exists(app.config['DATABASE']):
                 try:
-                    os.remove(DB_FILE)
-                    logger.info(f"Alte Datenbank {DB_FILE} wurde gelöscht")
+                    os.remove(app.config['DATABASE'])
+                    logger.info(f"Alte Datenbank {app.config['DATABASE']} wurde gelöscht")
                 except Exception as e:
                     logger.error(f"Fehler beim Löschen der alten Datenbank: {str(e)}")
             

static/css/styles.css

@@ -151,6 +151,36 @@ body {
     position: relative;
 }
 
+.reset-icon {
+    position: absolute;
+    right: 40px;
+    top: 50%;
+    transform: translateY(-50%);
+    cursor: pointer;
+    color: #6c757d;
+    z-index: 10;
+    padding: 0.375rem;
+    display: none;
+}
+
+.input-group input:not(:placeholder-shown) + .reset-icon {
+    display: block;
+}
+
+.reset-icon:hover {
+    color: #dc3545;
+}
+
+.search-icon {
+    position: absolute;
+    right: 10px;
+    top: 50%;
+    transform: translateY(-50%);
+    color: #6c757d;
+    z-index: 10;
+    padding: 0.375rem;
+}
+
 .result-counts {
     display: flex;
     justify-content: center;

static/js/main.js

@@ -2,6 +2,15 @@ let searchTimeout;
 let lastResults = [];
 let fachrichtungTimeout;
 let ortTimeout;
+let currentPage = 1;
+let totalPages = 1;
+let currentResults = [];
+let currentSearchQuery = '';
+let currentFilters = {
+    fachrichtung: '',
+    plz: '',
+    ort: ''
+};
 
 function createPhoneLink(phone) {
     if (!phone) return '';
@@ -34,11 +43,23 @@ function createEmailLink(email) {
 
 function highlightText(text, searchTerm) {
     if (!searchTerm || !text) return text;
-    // Escapen von Sonderzeichen im Suchbegriff
-    const escapedSearchTerm = searchTerm.replace(/[.*+?^${}()|[\]\\]/g, '\\$&');
-    // Erstelle einen regulären Ausdruck ohne Wortgrenzen
-    const regex = new RegExp(escapedSearchTerm, 'gi');
-    return text.replace(regex, '<mark>$&</mark>');
+    
+    // Teile den Suchbegriff in einzelne Wörter
+    const searchWords = searchTerm.split(/\s+/).filter(word => word.length > 0);
+    
+    // Wenn keine Wörter gefunden wurden, gebe den ursprünglichen Text zurück
+    if (searchWords.length === 0) return text;
+    
+    // Erstelle einen regulären Ausdruck für alle Suchwörter
+    const regexPattern = searchWords
+        .map(word => word.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'))
+        .join('|');
+    
+    // Erstelle den regulären Ausdruck
+    const regex = new RegExp(`(${regexPattern})`, 'gi');
+    
+    // Ersetze alle Übereinstimmungen mit mark-Tags
+    return text.replace(regex, '<mark>$1</mark>');
 }
 
 function createAddressLink(street, plz, city) {
@@ -119,14 +140,18 @@ async function copyCustomerLink(customerNumber) {
 }
 
 function updateResultCounts() {
-    // Nur Gesamtzahl anzeigen
-    const generalCount = lastResults.length;
-    document.getElementById('resultCount').textContent = 
-        generalCount > 0 ? `${generalCount} Treffer gefunden` : '';
-    document.getElementById('resultCount').classList.toggle('visible', generalCount > 0);
+    const resultCount = document.getElementById('result-count');
+    const exportButton = document.getElementById('exportButton');
     
-    // Export-Button anzeigen/verstecken
-    document.getElementById('exportButton').style.display = generalCount > 0 ? 'inline-block' : 'none';
+    if (lastResults && lastResults.length > 0) {
+        resultCount.textContent = `${lastResults.length} Ergebnisse gefunden`;
+        resultCount.style.display = 'inline';
+        exportButton.style.display = 'inline-block';
+    } else {
+        resultCount.textContent = '';
+        resultCount.style.display = 'none';
+        exportButton.style.display = 'none';
+    }
 }
 
 function exportToCSV() {
@@ -198,16 +223,43 @@ function exportToCSV() {
     document.body.removeChild(link);
 }
 
+function exportToVCF(customer) {
+    if (!customer) return;
+
+    const vcfData = [
+        'BEGIN:VCARD',
+        'VERSION:3.0',
+        `FN:${customer.name || ''}`,
+        `N:${customer.name || ''};;;`,
+        `TEL;TYPE=CELL:${customer.telefon || ''}`,
+        `TEL;TYPE=HOME:${customer.mobil || ''}`,
+        `EMAIL:${customer.email || ''}`,
+        `ADR;TYPE=HOME:;;${customer.strasse || ''};${customer.plz || ''};${customer.ort || ''};`,
+        `ORG:${customer.fachrichtung || ''}`,
+        'END:VCARD'
+    ].join('\n');
+
+    const blob = new Blob([vcfData], { type: 'text/vcard;charset=utf-8' });
+    const url = window.URL.createObjectURL(blob);
+    const a = document.createElement('a');
+    a.href = url;
+    a.download = `kontakt_${customer.name || ''}_${new Date().toISOString().split('T')[0]}.vcf`;
+    document.body.appendChild(a);
+    a.click();
+    window.URL.revokeObjectURL(url);
+    document.body.removeChild(a);
+}
+
 function displayResults(results) {
     const resultsDiv = document.getElementById('results');
-    const resultCount = document.getElementById('resultCount');
+    const resultCount = document.getElementById('result-count');
     const generalSearchTerm = document.getElementById('q').value;
     const nameSearchTerm = document.getElementById('nameInput').value;
     const fachrichtungSearchTerm = document.getElementById('fachrichtungInput').value;
     
     if (!results || results.length === 0) {
         resultsDiv.innerHTML = '<p>Keine Ergebnisse gefunden.</p>';
-        resultCount.textContent = '0 Ergebnisse';
+        resultCount.textContent = '';
         return;
     }
     
@@ -215,12 +267,6 @@ function displayResults(results) {
     lastResults = results;
     
     const resultsHTML = results.map(customer => {
-        const highlightedName = highlightText(customer.name, nameSearchTerm);
-        const highlightedFachrichtung = highlightText(customer.fachrichtung, fachrichtungSearchTerm);
-        const highlightedGeneral = highlightText(customer.name, generalSearchTerm) || 
-                                 highlightText(customer.fachrichtung, generalSearchTerm) ||
-                                 highlightText(customer.ort, generalSearchTerm);
-        
         // Hilfsfunktion zum Erstellen von Feldern nur wenn sie Werte haben
         const createFieldIfValue = (label, value, formatter = (v) => v) => {
             if (!value || value === 'N/A' || value === 'n/a' || value === 'N/a' || (typeof value === 'string' && value.trim() === '')) return '';
@@ -228,34 +274,52 @@ function displayResults(results) {
             return `<p class="mb-1"><strong>${label}:</strong> ${formattedValue}</p>`;
         };
 
+        // Highlighting für alle Felder
+        const highlightField = (value) => {
+            if (!value) return value;
+            let highlighted = value;
+            if (nameSearchTerm) {
+                highlighted = highlightText(highlighted, nameSearchTerm);
+            }
+            if (fachrichtungSearchTerm) {
+                highlighted = highlightText(highlighted, fachrichtungSearchTerm);
+            }
+            if (generalSearchTerm) {
+                highlighted = highlightText(highlighted, generalSearchTerm);
+            }
+            return highlighted;
+        };
+        
         return `
             <div class="customer-card">
                 <div class="customer-header">
-                    <h3 class="customer-name">${highlightedName || highlightedGeneral}</h3>
+                    <h3 class="customer-name">${highlightField(customer.name)}</h3>
                     <div class="customer-actions">
                         <span class="badge ${(customer.tag || 'medisoft') === 'medisoft' ? 'bg-primary' : 'bg-warning text-dark'}">${(customer.tag || 'medisoft').toUpperCase()}</span>
-                        <button class="btn btn-sm btn-outline-primary" onclick="copyCustomerLink('${customer.nummer}')">
+                        <button class="btn btn-sm btn-outline-primary" onclick="copyCustomerLink('${customer.nummer}')" title="Link kopieren">
                             <i class="fas fa-link"></i>
                         </button>
+                        <button class="btn btn-sm btn-outline-primary" onclick='exportToVCF(${JSON.stringify(customer).replace(/'/g, "\\'")})' title="Als VCF exportieren">
+                            <i class="bi bi-person-vcard"></i>
+                        </button>
                     </div>
                 </div>
                 <div class="customer-details">
-                    ${createFieldIfValue('Nummer', highlightText(customer.nummer, generalSearchTerm), createCustomerLink)}
+                    ${createFieldIfValue('Nummer', highlightField(customer.nummer), createCustomerLink)}
                     ${createFieldIfValue('Adresse', (customer.strasse && customer.plz && customer.ort) ? true : false, 
                         () => createAddressLink(
-                            highlightText(customer.strasse, generalSearchTerm), 
-                            highlightText(customer.plz, generalSearchTerm), 
-                            highlightText(customer.ort, generalSearchTerm)
+                            customer.strasse, 
+                            highlightField(customer.plz), 
+                            highlightField(customer.ort)
                         ))}
-                    ${createFieldIfValue('Telefon', highlightText(customer.telefon, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('Mobil', highlightText(customer.mobil, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('Handy', highlightText(customer.handy, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('Telefon Firma', highlightText(customer.tele_firma, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('E-Mail', highlightText(customer.email, generalSearchTerm), createEmailLink)}
-                    ${createFieldIfValue('Fachrichtung', highlightText(customer.fachrichtung, generalSearchTerm || fachrichtungSearchTerm))}
-                    ${createFieldIfValue('Kontakt 1', highlightText(customer.kontakt1, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('Kontakt 2', highlightText(customer.kontakt2, generalSearchTerm), createPhoneLink)}
-                    ${createFieldIfValue('Kontakt 3', highlightText(customer.kontakt3, generalSearchTerm), createPhoneLink)}
+                    ${createFieldIfValue('Telefon', highlightField(customer.telefon), createPhoneLink)}
+                    ${createFieldIfValue('Mobil', highlightField(customer.mobil), createPhoneLink)}
+                    ${createFieldIfValue('Handy', highlightField(customer.handy), createPhoneLink)}
+                    ${createFieldIfValue('E-Mail', highlightField(customer.email), createEmailLink)}
+                    ${createFieldIfValue('Fachrichtung', highlightField(customer.fachrichtung))}
+                    ${createFieldIfValue('Kontakt 1', highlightField(customer.kontakt1), createPhoneLink)}
+                    ${createFieldIfValue('Kontakt 2', highlightField(customer.kontakt2), createPhoneLink)}
+                    ${createFieldIfValue('Kontakt 3', highlightField(customer.kontakt3), createPhoneLink)}
                     ${customer.tags && customer.tags.length > 0 ? `
                         <p class="mb-0"><strong>Tags:</strong> 
                             ${customer.tags.map(tag => `<span class="badge bg-primary me-1">${tag}</span>`).join('')}
@@ -272,10 +336,14 @@ function displayResults(results) {
 
 function clearInput(inputId) {
     document.getElementById(inputId).value = '';
-    searchCustomers();
+    document.getElementById('results').innerHTML = '';
+    document.getElementById('result-count').textContent = '';
+    document.getElementById('exportButton').style.display = 'none';
+    lastResults = [];
 }
 
 async function searchCustomers() {
+    let searchTimeout;
     const loading = document.getElementById('loading');
     const results = document.getElementById('results');
     const generalSearch = document.getElementById('q').value;
@@ -285,6 +353,8 @@ async function searchCustomers() {
     const plzSearch = document.getElementById('plzInput').value;
     const fachrichtungSearch = document.getElementById('fachrichtungInput').value;
     const tagFilter = document.getElementById('tagFilter').value;
+    currentSearchQuery = generalSearch;
+    currentPage = 1;
     
     // Zeige Ladeanimation
     loading.style.display = 'block';

templates/index.html

@@ -9,6 +9,7 @@
     <link rel="icon" type="image/x-icon" href="{{ url_for('static', filename='favicon.ico') }}">
     <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
     <link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css" rel="stylesheet">
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap-icons@1.11.3/font/bootstrap-icons.min.css">
     <link href="{{ url_for('static', filename='css/styles.css') }}" rel="stylesheet">
 </head>
 <body>
@@ -80,10 +81,10 @@
                     </div>
                 </div>
 
-                <div class="result-counts">
-                    <span id="resultCount" class="result-count"></span>
-                    <button id="exportButton" class="btn btn-sm btn-outline-success ms-2" onclick="exportToCSV()" style="display: none;">
-                        <i class="fas fa-file-csv"></i> CSV Export
+                <div id="result-counts" class="mt-2">
+                    <span id="result-count"></span>
+                    <button id="exportButton" class="btn btn-sm btn-outline-primary ms-2" onclick="exportToCSV()" style="display: none;">
+                        <i class="bi bi-file-earmark-spreadsheet"></i> Als CSV exportieren
                     </button>
                 </div>