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Claude Project Manager
203
v2_adminpanel/utils/export.py
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203
v2_adminpanel/utils/export.py
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import pandas as pd
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from io import BytesIO, StringIO
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from datetime import datetime
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from zoneinfo import ZoneInfo
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from openpyxl.utils import get_column_letter
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from flask import send_file
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import csv
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def create_excel_export(data, columns, filename_prefix="export"):
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"""Create an Excel file from data"""
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df = pd.DataFrame(data, columns=columns)
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# Create Excel file in memory
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output = BytesIO()
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with pd.ExcelWriter(output, engine='openpyxl') as writer:
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df.to_excel(writer, index=False, sheet_name='Data')
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# Auto-adjust column widths
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worksheet = writer.sheets['Data']
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for idx, col in enumerate(df.columns):
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max_length = max(df[col].astype(str).map(len).max(), len(col)) + 2
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worksheet.column_dimensions[get_column_letter(idx + 1)].width = min(max_length, 50)
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output.seek(0)
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# Generate filename with timestamp
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timestamp = datetime.now(ZoneInfo("Europe/Berlin")).strftime('%Y%m%d_%H%M%S')
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filename = f"{filename_prefix}_{timestamp}.xlsx"
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return send_file(
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output,
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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as_attachment=True,
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download_name=filename
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)
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def create_csv_export(data, columns, filename_prefix="export"):
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"""Create a CSV file from data"""
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# Create CSV in memory
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output = StringIO()
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writer = csv.writer(output)
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# Write header
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writer.writerow(columns)
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# Write data
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writer.writerows(data)
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# Convert to bytes
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output.seek(0)
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output_bytes = BytesIO(output.getvalue().encode('utf-8-sig')) # UTF-8 with BOM for Excel compatibility
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# Generate filename with timestamp
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timestamp = datetime.now(ZoneInfo("Europe/Berlin")).strftime('%Y%m%d_%H%M%S')
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filename = f"{filename_prefix}_{timestamp}.csv"
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return send_file(
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output_bytes,
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mimetype='text/csv',
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as_attachment=True,
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download_name=filename
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)
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def format_datetime_for_export(dt):
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"""Format datetime for export"""
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if dt:
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if isinstance(dt, str):
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try:
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dt = datetime.fromisoformat(dt)
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except:
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return dt
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# Remove timezone info for Excel compatibility
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if hasattr(dt, 'replace') and dt.tzinfo is not None:
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dt = dt.replace(tzinfo=None)
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return dt.strftime('%Y-%m-%d %H:%M:%S')
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return ''
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def prepare_license_export_data(licenses):
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"""Prepare license data for export"""
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export_data = []
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for license in licenses:
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export_data.append([
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license[0], # ID
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license[1], # Key
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license[2], # Customer Name
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license[3], # Email
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'Aktiv' if license[4] else 'Inaktiv', # Active
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license[5], # Max Users
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format_datetime_for_export(license[6]), # Valid From
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format_datetime_for_export(license[7]), # Valid Until
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format_datetime_for_export(license[8]), # Created At
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license[9], # Device Limit
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license[10] or 0, # Current Devices
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'Fake' if license[11] else 'Full' # Is Test License
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])
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return export_data
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def prepare_customer_export_data(customers):
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"""Prepare customer data for export"""
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export_data = []
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for customer in customers:
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export_data.append([
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customer[0], # ID
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customer[1], # Name
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customer[2], # Email
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customer[3], # Company
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customer[4], # Address
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customer[5], # Phone
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format_datetime_for_export(customer[6]), # Created At
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customer[7] or 0, # License Count
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customer[8] or 0 # Active License Count
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])
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return export_data
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def prepare_session_export_data(sessions):
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"""Prepare session data for export"""
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export_data = []
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for session in sessions:
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export_data.append([
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session[0], # ID
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session[1], # License Key
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session[2], # Username
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session[3], # Computer Name
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session[4], # Hardware ID
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format_datetime_for_export(session[5]), # Login Time
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format_datetime_for_export(session[6]), # Last Activity
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'Aktiv' if session[7] else 'Beendet', # Active
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session[8], # IP Address
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session[9], # App Version
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session[10], # Customer Name
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session[11] # Email
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])
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return export_data
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def prepare_audit_export_data(audit_logs):
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"""Prepare audit log data for export"""
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export_data = []
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for log in audit_logs:
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export_data.append([
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log['id'],
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format_datetime_for_export(log['timestamp']),
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log['username'],
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log['action'],
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log['entity_type'],
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log['entity_id'] or '',
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log['ip_address'] or '',
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log['user_agent'] or '',
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str(log['old_values']) if log['old_values'] else '',
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str(log['new_values']) if log['new_values'] else '',
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log['additional_info'] or ''
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])
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return export_data
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def create_batch_export(licenses):
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"""Create Excel export for batch licenses"""
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export_data = []
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for license in licenses:
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export_data.append({
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'Lizenzschlüssel': license['license_key'],
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'Kunde': license.get('customer_name', ''),
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'Email': license.get('customer_email', ''),
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'Lizenztyp': license.get('license_type', 'full').upper(),
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'Geräte-Limit': license.get('device_limit', 3),
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'Gültig von': format_datetime_for_export(license.get('valid_from')),
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'Gültig bis': format_datetime_for_export(license.get('valid_until')),
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'Status': 'Aktiv' if license.get('is_active', True) else 'Inaktiv',
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'Fake-Lizenz': 'Ja' if license.get('is_test', False) else 'Nein'
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})
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df = pd.DataFrame(export_data)
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# Create Excel file in memory
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output = BytesIO()
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with pd.ExcelWriter(output, engine='openpyxl') as writer:
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df.to_excel(writer, index=False, sheet_name='Batch-Lizenzen')
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# Auto-adjust column widths
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worksheet = writer.sheets['Batch-Lizenzen']
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for idx, col in enumerate(df.columns):
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max_length = max(df[col].astype(str).map(len).max(), len(col)) + 2
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worksheet.column_dimensions[get_column_letter(idx + 1)].width = min(max_length, 50)
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output.seek(0)
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# Generate filename with timestamp
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timestamp = datetime.now(ZoneInfo("Europe/Berlin")).strftime('%Y%m%d_%H%M%S')
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filename = f"batch_licenses_{timestamp}.xlsx"
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return send_file(
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output,
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mimetype='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
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as_attachment=True,
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download_name=filename
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)
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