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