Export-Funktion

Dieser Commit ist enthalten in:
2025-06-07 16:01:35 +02:00
Ursprung 6f491e3833
Commit 2743f3ff9b
7 geänderte Dateien mit 584 neuen und 2 gelöschten Zeilen

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@@ -303,4 +303,30 @@ Lizenzmanagement-System für Social Media Account-Erstellungssoftware mit Docker
- Responsive Tabellen mit Bootstrap - Responsive Tabellen mit Bootstrap
**Hinweis:** **Hinweis:**
Die Session-Daten werden erst gefüllt, wenn der License Server API implementiert ist und Clients sich verbinden. Die Session-Daten werden erst gefüllt, wenn der License Server API implementiert ist und Clients sich verbinden.
### 2025-01-06 - Export-Funktion implementiert
- CSV und Excel Export für Lizenzen und Kunden
- Formatierte Ausgabe mit deutschen Datumsformaten
- UTF-8 Unterstützung für Sonderzeichen
**Neue Features:**
- **Lizenz-Export**: Alle Lizenzen mit Kundeninformationen
- **Kunden-Export**: Alle Kunden mit Lizenzstatistiken
- **Format-Optionen**: Excel (.xlsx) und CSV (.csv)
- **Deutsche Formatierung**: Datum als dd.mm.yyyy, Status auf Deutsch
- **UTF-8 Export**: Korrekte Kodierung für Umlaute
- **Export-Buttons**: Dropdown-Menüs in Lizenz- und Kundenübersicht
**Geänderte Dateien:**
- v2_adminpanel/app.py (export_licenses() und export_customers() Routen)
- v2_adminpanel/requirements.txt (pandas und openpyxl hinzugefügt)
- v2_adminpanel/templates/licenses.html (Export-Dropdown hinzugefügt)
- v2_adminpanel/templates/customers.html (Export-Dropdown hinzugefügt)
**Technische Details:**
- Pandas für Datenverarbeitung
- OpenPyXL für Excel-Export
- CSV mit Semikolon-Trennung für deutsche Excel-Kompatibilität
- Automatische Spaltenbreite in Excel
- BOM für UTF-8 CSV (Excel-Kompatibilität)

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@@ -1,9 +1,12 @@
import os import os
import psycopg2 import psycopg2
from flask import Flask, render_template, request, redirect, session, url_for from flask import Flask, render_template, request, redirect, session, url_for, send_file
from flask_session import Session from flask_session import Session
from functools import wraps from functools import wraps
from dotenv import load_dotenv from dotenv import load_dotenv
import pandas as pd
from datetime import datetime
import io
load_dotenv() load_dotenv()
@@ -544,5 +547,166 @@ def end_session(session_id):
return redirect("/sessions") return redirect("/sessions")
@app.route("/export/licenses")
@login_required
def export_licenses():
conn = get_connection()
cur = conn.cursor()
# Alle Lizenzen mit Kundeninformationen abrufen
cur.execute("""
SELECT l.id, l.license_key, c.name as customer_name, c.email as customer_email,
l.license_type, l.valid_from, l.valid_until, l.is_active,
CASE
WHEN l.valid_until < CURRENT_DATE THEN 'Abgelaufen'
WHEN l.valid_until < CURRENT_DATE + INTERVAL '30 days' THEN 'Läuft bald ab'
ELSE 'Aktiv'
END as status
FROM licenses l
JOIN customers c ON l.customer_id = c.id
ORDER BY l.id
""")
# Spaltennamen
columns = ['ID', 'Lizenzschlüssel', 'Kunde', 'E-Mail', 'Typ',
'Gültig von', 'Gültig bis', 'Aktiv', 'Status']
# Daten in DataFrame
data = cur.fetchall()
df = pd.DataFrame(data, columns=columns)
# Datumsformatierung
df['Gültig von'] = pd.to_datetime(df['Gültig von']).dt.strftime('%d.%m.%Y')
df['Gültig bis'] = pd.to_datetime(df['Gültig bis']).dt.strftime('%d.%m.%Y')
# Typ und Aktiv Status anpassen
df['Typ'] = df['Typ'].replace({'full': 'Vollversion', 'test': 'Testversion'})
df['Aktiv'] = df['Aktiv'].replace({True: 'Ja', False: 'Nein'})
cur.close()
conn.close()
# Export Format
export_format = request.args.get('format', 'excel')
filename = f'lizenzen_export_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
if export_format == 'csv':
# CSV Export
output = io.StringIO()
df.to_csv(output, index=False, encoding='utf-8-sig', sep=';')
output.seek(0)
return send_file(
io.BytesIO(output.getvalue().encode('utf-8-sig')),
mimetype='text/csv',
as_attachment=True,
download_name=f'{filename}.csv'
)
else:
# Excel Export
output = io.BytesIO()
with pd.ExcelWriter(output, engine='openpyxl') as writer:
df.to_excel(writer, sheet_name='Lizenzen', index=False)
# Formatierung
worksheet = writer.sheets['Lizenzen']
for column in worksheet.columns:
max_length = 0
column_letter = column[0].column_letter
for cell in column:
try:
if len(str(cell.value)) > max_length:
max_length = len(str(cell.value))
except:
pass
adjusted_width = min(max_length + 2, 50)
worksheet.column_dimensions[column_letter].width = adjusted_width
output.seek(0)
return send_file(
output,
mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
as_attachment=True,
download_name=f'{filename}.xlsx'
)
@app.route("/export/customers")
@login_required
def export_customers():
conn = get_connection()
cur = conn.cursor()
# Alle Kunden mit Lizenzstatistiken
cur.execute("""
SELECT c.id, c.name, c.email, c.created_at,
COUNT(l.id) as total_licenses,
COUNT(CASE WHEN l.is_active = TRUE AND l.valid_until >= CURRENT_DATE THEN 1 END) as active_licenses,
COUNT(CASE WHEN l.valid_until < CURRENT_DATE THEN 1 END) as expired_licenses
FROM customers c
LEFT JOIN licenses l ON c.id = l.customer_id
GROUP BY c.id, c.name, c.email, c.created_at
ORDER BY c.id
""")
# Spaltennamen
columns = ['ID', 'Name', 'E-Mail', 'Erstellt am',
'Lizenzen gesamt', 'Aktive Lizenzen', 'Abgelaufene Lizenzen']
# Daten in DataFrame
data = cur.fetchall()
df = pd.DataFrame(data, columns=columns)
# Datumsformatierung
df['Erstellt am'] = pd.to_datetime(df['Erstellt am']).dt.strftime('%d.%m.%Y %H:%M')
cur.close()
conn.close()
# Export Format
export_format = request.args.get('format', 'excel')
filename = f'kunden_export_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
if export_format == 'csv':
# CSV Export
output = io.StringIO()
df.to_csv(output, index=False, encoding='utf-8-sig', sep=';')
output.seek(0)
return send_file(
io.BytesIO(output.getvalue().encode('utf-8-sig')),
mimetype='text/csv',
as_attachment=True,
download_name=f'{filename}.csv'
)
else:
# Excel Export
output = io.BytesIO()
with pd.ExcelWriter(output, engine='openpyxl') as writer:
df.to_excel(writer, sheet_name='Kunden', index=False)
# Formatierung
worksheet = writer.sheets['Kunden']
for column in worksheet.columns:
max_length = 0
column_letter = column[0].column_letter
for cell in column:
try:
if len(str(cell.value)) > max_length:
max_length = len(str(cell.value))
except:
pass
adjusted_width = min(max_length + 2, 50)
worksheet.column_dimensions[column_letter].width = adjusted_width
output.seek(0)
return send_file(
output,
mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
as_attachment=True,
download_name=f'{filename}.xlsx'
)
if __name__ == "__main__": if __name__ == "__main__":
app.run(host="0.0.0.0", port=443, ssl_context='adhoc') app.run(host="0.0.0.0", port=443, ssl_context='adhoc')

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@@ -3,3 +3,5 @@ flask-session
psycopg2-binary psycopg2-binary
python-dotenv python-dotenv
pyopenssl pyopenssl
pandas
openpyxl

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@@ -24,6 +24,15 @@
<a href="/create" class="btn btn-primary"> Neue Lizenz</a> <a href="/create" class="btn btn-primary"> Neue Lizenz</a>
<a href="/licenses" class="btn btn-secondary">📋 Lizenzen</a> <a href="/licenses" class="btn btn-secondary">📋 Lizenzen</a>
<a href="/sessions" class="btn btn-secondary">🟢 Sessions</a> <a href="/sessions" class="btn btn-secondary">🟢 Sessions</a>
<div class="btn-group">
<button type="button" class="btn btn-info dropdown-toggle" data-bs-toggle="dropdown" aria-expanded="false">
📥 Export
</button>
<ul class="dropdown-menu">
<li><a class="dropdown-item" href="/export/customers?format=excel">📊 Excel (.xlsx)</a></li>
<li><a class="dropdown-item" href="/export/customers?format=csv">📄 CSV (.csv)</a></li>
</ul>
</div>
</div> </div>
</div> </div>
@@ -145,5 +154,6 @@
</div> </div>
</div> </div>
</div> </div>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
</body> </body>
</html> </html>

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@@ -29,6 +29,15 @@
<a href="/create" class="btn btn-primary"> Neue Lizenz</a> <a href="/create" class="btn btn-primary"> Neue Lizenz</a>
<a href="/customers" class="btn btn-secondary">👥 Kunden</a> <a href="/customers" class="btn btn-secondary">👥 Kunden</a>
<a href="/sessions" class="btn btn-secondary">🟢 Sessions</a> <a href="/sessions" class="btn btn-secondary">🟢 Sessions</a>
<div class="btn-group">
<button type="button" class="btn btn-info dropdown-toggle" data-bs-toggle="dropdown" aria-expanded="false">
📥 Export
</button>
<ul class="dropdown-menu">
<li><a class="dropdown-item" href="/export/licenses?format=excel">📊 Excel (.xlsx)</a></li>
<li><a class="dropdown-item" href="/export/licenses?format=csv">📄 CSV (.csv)</a></li>
</ul>
</div>
</div> </div>
</div> </div>
@@ -197,5 +206,6 @@
</div> </div>
</div> </div>
</div> </div>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.2/dist/js/bootstrap.bundle.min.js"></script>
</body> </body>
</html> </html>

212
v2_testing/test_export.py Normale Datei
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@@ -0,0 +1,212 @@
#!/usr/bin/env python3
import requests
import urllib3
import subprocess
import os
import pandas as pd
import zipfile
# Disable SSL warnings
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
base_url = "https://localhost:443"
admin_user = {"username": "rac00n", "password": "1248163264"}
def login(session):
"""Login to admin panel"""
login_data = {
"username": admin_user["username"],
"password": admin_user["password"]
}
response = session.post(f"{base_url}/login", data=login_data, verify=False, allow_redirects=False)
return response.status_code == 302
def test_export_licenses():
"""Test license export functionality"""
session = requests.Session()
if not login(session):
return ["✗ Failed to login"]
results = []
# Test Excel export
print("1. Testing License Excel Export:")
print("-" * 40)
response = session.get(f"{base_url}/export/licenses?format=excel", verify=False)
if response.status_code == 200:
# Save file
filename = "test_licenses.xlsx"
with open(filename, 'wb') as f:
f.write(response.content)
# Check file size
file_size = os.path.getsize(filename)
results.append(f"✓ Excel export successful - Size: {file_size} bytes")
# Verify it's a valid Excel file
try:
df = pd.read_excel(filename)
results.append(f"✓ Valid Excel file with {len(df)} rows, {len(df.columns)} columns")
# Check columns
expected_cols = ['Lizenzschlüssel', 'Kunde', 'E-Mail', 'Typ', 'Status']
found_cols = [col for col in expected_cols if col in df.columns]
results.append(f"✓ Found columns: {', '.join(found_cols[:3])}...")
# Check for UTF-8 content
if df['Kunde'].str.contains('ü|ö|ä|ß').any():
results.append("✓ UTF-8 characters preserved in Excel")
except Exception as e:
results.append(f"✗ Error reading Excel: {str(e)}")
os.remove(filename)
else:
results.append(f"✗ Excel export failed: Status {response.status_code}")
# Test CSV export
print("\n2. Testing License CSV Export:")
print("-" * 40)
response = session.get(f"{base_url}/export/licenses?format=csv", verify=False)
if response.status_code == 200:
# Save file
filename = "test_licenses.csv"
with open(filename, 'wb') as f:
f.write(response.content)
# Check file
file_size = os.path.getsize(filename)
results.append(f"✓ CSV export successful - Size: {file_size} bytes")
# Read and verify CSV
try:
df = pd.read_csv(filename, sep=';', encoding='utf-8-sig')
results.append(f"✓ Valid CSV file with {len(df)} rows")
# Check for German date format
if df['Gültig bis'].str.match(r'\d{2}\.\d{2}\.\d{4}').any():
results.append("✓ German date format (DD.MM.YYYY)")
except Exception as e:
results.append(f"✗ Error reading CSV: {str(e)}")
os.remove(filename)
else:
results.append(f"✗ CSV export failed: Status {response.status_code}")
return results
def test_export_customers():
"""Test customer export functionality"""
session = requests.Session()
if not login(session):
return ["✗ Failed to login"]
results = []
# Test Excel export
print("\n3. Testing Customer Excel Export:")
print("-" * 40)
response = session.get(f"{base_url}/export/customers?format=excel", verify=False)
if response.status_code == 200:
filename = "test_customers.xlsx"
with open(filename, 'wb') as f:
f.write(response.content)
try:
df = pd.read_excel(filename)
results.append(f"✓ Customer Excel export: {len(df)} customers")
# Check statistics columns
if 'Lizenzen gesamt' in df.columns and 'Aktive Lizenzen' in df.columns:
results.append("✓ License statistics included")
# Check for UTF-8
if 'Name' in df.columns and df['Name'].str.contains('ü|ö|ä|ß').any():
results.append("✓ UTF-8 customer names preserved")
except Exception as e:
results.append(f"✗ Error: {str(e)}")
os.remove(filename)
else:
results.append(f"✗ Customer export failed: Status {response.status_code}")
# Test CSV export
print("\n4. Testing Customer CSV Export:")
print("-" * 40)
response = session.get(f"{base_url}/export/customers?format=csv", verify=False)
if response.status_code == 200:
results.append("✓ Customer CSV export successful")
else:
results.append(f"✗ Customer CSV export failed: Status {response.status_code}")
return results
def check_pandas_installation():
"""Check if pandas is installed in container"""
print("5. Checking pandas installation:")
print("-" * 40)
result = subprocess.run([
"docker", "exec", "admin-panel", "python", "-c",
"import pandas; import openpyxl; print('pandas version:', pandas.__version__)"
], capture_output=True, text=True)
if result.returncode == 0:
print("✓ pandas is installed")
print(result.stdout)
else:
print("✗ pandas not installed - installing...")
# Install pandas
subprocess.run([
"docker", "exec", "admin-panel", "pip", "install",
"pandas", "openpyxl"
], capture_output=True)
print("✓ pandas and openpyxl installed")
# Main execution
print("Testing Export Functionality")
print("=" * 50)
# Check dependencies first
check_pandas_installation()
# Rebuild if needed
print("\nRebuilding admin panel...")
subprocess.run(["docker-compose", "build", "admin-panel"], capture_output=True)
subprocess.run(["docker-compose", "up", "-d", "admin-panel"], capture_output=True)
subprocess.run(["sleep", "5"], capture_output=True)
# Test exports
license_results = test_export_licenses()
for result in license_results:
print(result)
customer_results = test_export_customers()
for result in customer_results:
print(result)
# Check database content for comparison
print("\n6. Database Content Summary:")
print("-" * 40)
result = subprocess.run([
"docker", "exec", "db", "psql", "-U", "adminuser", "-d", "meinedatenbank",
"-c", "SELECT COUNT(*) as licenses FROM licenses;"
], capture_output=True, text=True)
print(result.stdout)
result = subprocess.run([
"docker", "exec", "db", "psql", "-U", "adminuser", "-d", "meinedatenbank",
"-c", "SELECT COUNT(*) as customers FROM customers;"
], capture_output=True, text=True)
print(result.stdout)

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@@ -0,0 +1,158 @@
#!/usr/bin/env python3
import requests
import urllib3
import subprocess
import os
# Disable SSL warnings
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
base_url = "https://localhost:443"
admin_user = {"username": "rac00n", "password": "1248163264"}
def login(session):
"""Login to admin panel"""
login_data = {
"username": admin_user["username"],
"password": admin_user["password"]
}
response = session.post(f"{base_url}/login", data=login_data, verify=False, allow_redirects=False)
return response.status_code == 302
def check_requirements():
"""Check if pandas is in requirements.txt"""
print("1. Checking requirements.txt:")
print("-" * 40)
result = subprocess.run([
"cat", "/mnt/c/Users/Administrator/Documents/GitHub/v2-Docker/v2_adminpanel/requirements.txt"
], capture_output=True, text=True)
print(result.stdout)
if "pandas" not in result.stdout:
print("✗ pandas not in requirements.txt - adding it")
# Add pandas and openpyxl
subprocess.run([
"echo", "-e", "pandas\\nopenpyxl", ">>",
"/mnt/c/Users/Administrator/Documents/GitHub/v2-Docker/v2_adminpanel/requirements.txt"
])
def test_export_endpoints():
"""Test export endpoints"""
session = requests.Session()
if not login(session):
return ["✗ Failed to login"]
print("\n2. Testing Export Endpoints:")
print("-" * 40)
# Test license exports
exports = [
("/export/licenses?format=excel", "License Excel Export"),
("/export/licenses?format=csv", "License CSV Export"),
("/export/customers?format=excel", "Customer Excel Export"),
("/export/customers?format=csv", "Customer CSV Export")
]
for endpoint, description in exports:
response = session.get(f"{base_url}{endpoint}", verify=False, stream=True)
if response.status_code == 200:
# Check headers
content_type = response.headers.get('Content-Type', '')
content_disp = response.headers.get('Content-Disposition', '')
# Get first few bytes to check file type
first_bytes = response.raw.read(10)
if 'excel' in endpoint and b'PK' in first_bytes: # Excel files start with PK (ZIP format)
print(f"{description}: Valid Excel file signature")
elif 'csv' in endpoint and (b'ID' in first_bytes or b'"' in first_bytes or b';' in first_bytes):
print(f"{description}: Looks like CSV data")
else:
print(f"{description}: Response received (Status 200)")
if 'attachment' in content_disp:
print(f" → Download filename: {content_disp.split('filename=')[1] if 'filename=' in content_disp else 'present'}")
else:
print(f"{description}: Failed with status {response.status_code}")
def test_export_content():
"""Test actual export content"""
session = requests.Session()
if not login(session):
return
print("\n3. Testing Export Content:")
print("-" * 40)
# Get CSV export to check content
response = session.get(f"{base_url}/export/licenses?format=csv", verify=False)
if response.status_code == 200:
content = response.text
lines = content.split('\n')
print(f"CSV Lines: {len(lines)}")
if lines:
# Check header
header = lines[0]
print(f"CSV Header: {header[:100]}...")
# Check for UTF-8 BOM
if content.startswith('\ufeff'):
print("✓ UTF-8 BOM present (Excel compatibility)")
# Check for umlauts
if any(char in content for char in 'äöüßÄÖÜ'):
print("✓ German umlauts found in export")
# Check separator
if ';' in header:
print("✓ Using semicolon separator (German Excel standard)")
# Main execution
print("Testing Export Functionality")
print("=" * 50)
# Check and fix requirements
check_requirements()
# Rebuild admin panel with pandas
print("\nRebuilding admin panel with pandas...")
subprocess.run([
"docker", "exec", "admin-panel", "pip", "install", "pandas", "openpyxl"
], capture_output=True)
result = subprocess.run([
"docker", "exec", "admin-panel", "python", "-c",
"import pandas; print('pandas installed:', pandas.__version__)"
], capture_output=True, text=True)
if result.returncode == 0:
print("✓ pandas installed in container")
print(result.stdout.strip())
else:
print("✗ Failed to install pandas")
# Test endpoints
test_export_endpoints()
test_export_content()
# Database summary
print("\n4. Database Summary:")
print("-" * 40)
result = subprocess.run([
"docker", "exec", "db", "psql", "-U", "adminuser", "-d", "meinedatenbank", "-t",
"-c", """SELECT
(SELECT COUNT(*) FROM licenses) as licenses,
(SELECT COUNT(*) FROM customers) as customers,
(SELECT COUNT(*) FROM licenses WHERE valid_until >= CURRENT_DATE) as active_licenses;"""
], capture_output=True, text=True)
print(f"Available for export: {result.stdout.strip()}")