File size: 3,074 Bytes
27f6252 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | from typing import List, Dict
from pathlib import Path
from datetime import datetime
import json
import logging
from config import Config
def save_processed_data(
enhanced_docs: List[Dict],
processed_dir: Path,
all_cves: List[Dict],
kev_data: List[Dict],
cwe_capec_mitre_mapping: Dict,
logger: logging.Logger
) -> None:
"""Save processed data, enhanced documents, and summary statistics."""
config = Config()
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
# Save enhanced documents with timestamp
docs_file = processed_dir / f"enhanced_documents_{timestamp}.json"
with open(docs_file, 'w') as f:
json.dump(enhanced_docs, f, indent=2)
# Also save with a stable filename for downstream consumers
expected_filename = processed_dir / "enhanced_documents_latest.json"
with open(expected_filename, 'w') as f:
json.dump(enhanced_docs, f, indent=2)
# Always save to the canonical knowledge_base_dir path
knowledge_base_path = config.enhanced_documents_path
knowledge_base_path.parent.mkdir(parents=True, exist_ok=True)
with open(knowledge_base_path, 'w') as f:
json.dump(enhanced_docs, f, indent=2)
# Calculate correlation statistics
kev_count = sum(1 for cve in all_cves if cve.get('is_in_kev'))
csaf_correlations = sum(len(cve.get('csaf_correlations', [])) for cve in all_cves)
exploitdb_correlations = sum(len(cve.get('exploitdb_correlations', [])) for cve in all_cves)
cwe_with_mapping = sum(1 for cve in all_cves if any(cwe in cwe_capec_mitre_mapping for cwe in cve.get('cwe_ids', [])))
# Save summary
summary = {
'timestamp': timestamp,
'total_cves_processed': len(all_cves),
'total_kev_entries': len(kev_data),
'total_enhanced_documents': len(enhanced_docs),
'cve_documents': len([d for d in enhanced_docs if d['document_type'] == 'CVE']),
'kev_documents': len([d for d in enhanced_docs if d['document_type'] == 'KEV']),
'correlation_statistics': {
'cves_in_kev': kev_count,
'total_csaf_correlations': csaf_correlations,
'total_exploitdb_correlations': exploitdb_correlations,
'cves_with_cwe_mapping': cwe_with_mapping,
'cwe_capec_mitre_mappings_loaded': len(cwe_capec_mitre_mapping)
},
'files': {
'enhanced_documents': str(docs_file),
'enhanced_documents_latest': str(expected_filename),
'knowledge_base_enhanced_documents': str(knowledge_base_path)
}
}
summary_file = processed_dir / f"processing_summary_{timestamp}.json"
with open(summary_file, 'w') as f:
json.dump(summary, f, indent=2)
logger.info(f"Processed data saved to {processed_dir} and {knowledge_base_path}")
logger.info(f"Summary: {len(all_cves)} CVEs, {len(kev_data)} KEV entries, {len(enhanced_docs)} enhanced documents")
logger.info(f"Correlations: {kev_count} CVEs in KEV, {csaf_correlations} CSAF correlations, {exploitdb_correlations} ExploitDB correlations") |