Remove weekly report functionality

- Delete backend/routes/weeklyReports.js
- Delete backend/migrations/add_weekly_reports_table.js
- Delete backend/scripts/split_cve_report.py
- Delete backend/helpers/excelProcessor.js
- Delete frontend/src/components/WeeklyReportModal.js
- Remove import, state, button, and modal from App.js
- Remove route registration and require from server.js
- Drop weekly_reports table from SQLite database

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/scripts/split_cve_report.py

@@ -1,83 +0,0 @@
-#!/usr/bin/env python3
-"""
-CVE Report Splitter
-Splits multiple CVE IDs in a single row into separate rows for easier filtering and analysis.
-"""
-
-import pandas as pd
-import sys
-from pathlib import Path
-
-def split_cve_report(input_file, output_file=None, sheet_name='Vulnerabilities', cve_column='CVE ID'):
-    """
-    Split CVE IDs into separate rows.
-
-    Args:
-        input_file: Path to input Excel file
-        output_file: Path to output file (default: adds '_Split' to input filename)
-        sheet_name: Name of sheet with vulnerability data (default: 'Vulnerabilities')
-        cve_column: Name of column containing CVE IDs (default: 'CVE ID')
-    """
-    input_path = Path(input_file)
-
-    if not input_path.exists():
-        print(f"Error: File not found: {input_file}")
-        sys.exit(1)
-
-    if output_file is None:
-        output_file = input_path.parent / f"{input_path.stem}_Split{input_path.suffix}"
-
-    print(f"Reading: {input_file}")
-
-    try:
-        df = pd.read_excel(input_file, sheet_name=sheet_name)
-    except ValueError as e:
-        print(f"Error: Sheet '{sheet_name}' not found in workbook")
-        print(f"Available sheets: {pd.ExcelFile(input_file).sheet_names}")
-        sys.exit(1)
-
-    if cve_column not in df.columns:
-        print(f"Error: Column '{cve_column}' not found")
-        print(f"Available columns: {list(df.columns)}")
-        sys.exit(1)
-
-    original_rows = len(df)
-    print(f"Original rows: {original_rows}")
-
-    # Split CVE IDs by comma
-    df[cve_column] = df[cve_column].astype(str).str.split(',')
-
-    # Explode to create separate rows
-    df_exploded = df.explode(cve_column)
-
-    # Clean up CVE IDs
-    df_exploded[cve_column] = df_exploded[cve_column].str.strip()
-    df_exploded = df_exploded[df_exploded[cve_column].notna()]
-    df_exploded = df_exploded[df_exploded[cve_column] != 'nan']
-    df_exploded = df_exploded[df_exploded[cve_column] != '']
-
-    # Reset index
-    df_exploded = df_exploded.reset_index(drop=True)
-
-    new_rows = len(df_exploded)
-    print(f"New rows: {new_rows}")
-    print(f"Added {new_rows - original_rows} rows from splitting CVEs")
-
-    # Save output
-    df_exploded.to_excel(output_file, index=False, sheet_name=sheet_name)
-    print(f"\n✓ Success! Saved to: {output_file}")
-
-    return output_file
-
-if __name__ == "__main__":
-    if len(sys.argv) < 2:
-        print("Usage: python3 split_cve_report.py <input_file.xlsx> [output_file.xlsx]")
-        print("\nExample:")
-        print("  python3 split_cve_report.py 'Vulnerability Workbook.xlsx'")
-        print("  python3 split_cve_report.py 'input.xlsx' 'output.xlsx'")
-        sys.exit(1)
-
-    input_file = sys.argv[1]
-    output_file = sys.argv[2] if len(sys.argv) > 2 else None
-
-    split_cve_report(input_file, output_file)