bpmcdevitt
9bde1395bf
This commit introduces major performance improvements and migrates from custom job scheduling to Celery Beat for better reliability and scalability. ### 🚀 Performance Optimizations **CVE2CAPEC Client Performance (Fixed startup blocking)** - Implement lazy loading with 24-hour cache for CVE2CAPEC mappings - Add background task for CVE2CAPEC sync (data_sync_tasks.sync_cve2capec) - Remove blocking data fetch during client initialization - API endpoint: POST /api/sync-cve2capec **ExploitDB Client Performance (Fixed webapp request blocking)** - Implement global file index cache to prevent rebuilding on every request - Add lazy loading with 24-hour cache expiry for 46K+ exploit index - Background task for index building (data_sync_tasks.build_exploitdb_index) - API endpoint: POST /api/build-exploitdb-index ### 🔄 Celery Migration & Scheduling **Celery Beat Integration** - Migrate from custom job scheduler to Celery Beat for reliability - Remove 'finetuned' LLM provider (logic moved to ollama container) - Optimized daily workflow with proper timing and dependencies **New Celery Tasks Structure** - tasks/bulk_tasks.py - NVD bulk processing and SIGMA generation - tasks/data_sync_tasks.py - All data synchronization tasks - tasks/maintenance_tasks.py - System maintenance and cleanup - tasks/sigma_tasks.py - SIGMA rule generation tasks **Daily Schedule (Optimized)** ``` 1:00 AM → Weekly cleanup (Sundays) 1:30 AM → Daily result cleanup 2:00 AM → NVD incremental update 3:00 AM → CISA KEV sync 3:15 AM → Nomi-sec PoC sync 3:30 AM → GitHub PoC sync 3:45 AM → ExploitDB sync 4:00 AM → CVE2CAPEC MITRE ATT&CK sync 4:15 AM → ExploitDB index rebuild 5:00 AM → Reference content sync 8:00 AM → SIGMA rule generation 9:00 AM → LLM-enhanced SIGMA generation Every 15min → Health checks ``` ### 🐳 Docker & Infrastructure **Enhanced Docker Setup** - Ollama setup with integrated SIGMA model creation (setup_ollama_with_sigma.py) - Initial database population check and trigger (initial_setup.py) - Proper service dependencies and health checks - Remove manual post-rebuild script requirements **Service Architecture** - Celery worker with 4-queue system (default, bulk_processing, sigma_generation, data_sync) - Flower monitoring dashboard (localhost:5555) - Redis as message broker and result backend ### 🎯 API Improvements **Background Task Endpoints** - GitHub PoC sync now uses Celery (was blocking backend) - All sync operations return task IDs and monitoring URLs - Consistent error handling and progress tracking **New Endpoints** - POST /api/sync-cve2capec - CVE2CAPEC mapping sync - POST /api/build-exploitdb-index - ExploitDB index rebuild ### 📁 Cleanup **Removed Files** - fix_sigma_model.sh (replaced by setup_ollama_with_sigma.py) - Various test_* and debug_* files no longer needed - Old training scripts related to removed 'finetuned' provider - Utility scripts replaced by Docker services ### 🔧 Configuration **Key Files Added/Modified** - backend/celery_config.py - Complete Celery configuration - backend/initial_setup.py - First-boot database population - backend/setup_ollama_with_sigma.py - Integrated Ollama setup - CLAUDE.md - Project documentation and development guide 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
959 lines
29 KiB
Python
959 lines
29 KiB
Python
"""
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Data synchronization tasks for Celery
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"""
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import asyncio
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import logging
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from typing import Dict, Any
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from celery import current_task
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from celery_config import celery_app, get_db_session
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from nomi_sec_client import NomiSecClient
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from exploitdb_client_local import ExploitDBLocalClient
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from cisa_kev_client import CISAKEVClient
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from mcdevitt_poc_client import GitHubPoCClient
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logger = logging.getLogger(__name__)
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@celery_app.task(bind=True, name='data_sync_tasks.sync_nomi_sec')
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def sync_nomi_sec_task(self, batch_size: int = 50) -> Dict[str, Any]:
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"""
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Celery task for nomi-sec PoC synchronization
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Args:
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batch_size: Number of CVEs to process in each batch
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Returns:
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Dictionary containing sync results
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"""
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db_session = get_db_session()
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try:
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_nomi_sec',
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'progress': 0,
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'message': 'Starting nomi-sec PoC synchronization'
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}
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)
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logger.info(f"Starting nomi-sec sync task with batch size: {batch_size}")
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# Create client instance
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client = NomiSecClient(db_session)
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# Run the synchronization
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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result = loop.run_until_complete(
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client.bulk_sync_all_cves(batch_size=batch_size)
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)
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finally:
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loop.close()
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# Update final progress
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self.update_state(
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state='SUCCESS',
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meta={
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'stage': 'completed',
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'progress': 100,
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'message': 'Nomi-sec synchronization completed successfully'
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}
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)
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logger.info(f"Nomi-sec sync task completed: {result}")
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return result
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except Exception as e:
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logger.error(f"Nomi-sec sync task failed: {e}")
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self.update_state(
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state='FAILURE',
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meta={
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'stage': 'error',
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'progress': 0,
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'message': f'Task failed: {str(e)}',
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'error': str(e)
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}
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)
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raise
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finally:
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db_session.close()
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@celery_app.task(bind=True, name='data_sync_tasks.sync_cve2capec')
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def sync_cve2capec_task(self, force_refresh: bool = False) -> Dict[str, Any]:
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"""
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Celery task for CVE2CAPEC MITRE ATT&CK mapping synchronization
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Args:
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force_refresh: Whether to force refresh the cache regardless of expiry
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Returns:
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Dictionary containing sync results
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"""
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try:
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 0,
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'message': 'Starting CVE2CAPEC MITRE ATT&CK mapping synchronization'
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}
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)
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logger.info(f"Starting CVE2CAPEC sync task with force_refresh: {force_refresh}")
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# Import here to avoid circular dependencies
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from cve2capec_client import CVE2CAPECClient
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# Create client instance
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client = CVE2CAPECClient()
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# Update progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 10,
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'message': 'Fetching MITRE ATT&CK mappings...'
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}
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)
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# Force refresh if requested
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if force_refresh:
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client._fetch_fresh_data()
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# Update progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 50,
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'message': 'Processing CVE mappings...'
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}
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)
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# Get statistics about the loaded data
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stats = client.get_stats()
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# Update progress to completion
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 100,
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'message': 'CVE2CAPEC synchronization completed successfully'
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}
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)
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result = {
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'status': 'completed',
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'total_mappings': stats.get('total_mappings', 0),
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'total_techniques': stats.get('unique_techniques', 0),
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'cache_updated': True
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}
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logger.info(f"CVE2CAPEC sync task completed: {result}")
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return result
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except Exception as e:
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logger.error(f"CVE2CAPEC sync task failed: {e}")
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self.update_state(
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state='FAILURE',
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meta={
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'stage': 'error',
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'progress': 0,
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'message': f'Task failed: {str(e)}',
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'error': str(e)
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}
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)
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raise
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@celery_app.task(bind=True, name='data_sync_tasks.sync_github_poc')
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def sync_github_poc_task(self, batch_size: int = 50) -> Dict[str, Any]:
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"""
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Celery task for GitHub PoC synchronization
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Args:
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batch_size: Number of CVEs to process in each batch
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Returns:
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Dictionary containing sync results
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"""
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db_session = get_db_session()
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try:
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_github_poc',
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'progress': 0,
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'message': 'Starting GitHub PoC synchronization'
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}
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)
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logger.info(f"Starting GitHub PoC sync task with batch size: {batch_size}")
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# Create client instance
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client = GitHubPoCClient(db_session)
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# Run the synchronization
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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result = loop.run_until_complete(
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client.bulk_sync_all_cves(batch_size=batch_size)
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)
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finally:
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loop.close()
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# Update final progress
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self.update_state(
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state='SUCCESS',
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meta={
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'stage': 'completed',
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'progress': 100,
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'message': 'GitHub PoC synchronization completed successfully'
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}
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)
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logger.info(f"GitHub PoC sync task completed: {result}")
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return result
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except Exception as e:
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logger.error(f"GitHub PoC sync task failed: {e}")
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self.update_state(
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state='FAILURE',
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meta={
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'stage': 'error',
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'progress': 0,
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'message': f'Task failed: {str(e)}',
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'error': str(e)
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}
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)
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raise
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finally:
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db_session.close()
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@celery_app.task(bind=True, name='data_sync_tasks.sync_cve2capec')
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def sync_cve2capec_task(self, force_refresh: bool = False) -> Dict[str, Any]:
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"""
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Celery task for CVE2CAPEC MITRE ATT&CK mapping synchronization
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Args:
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force_refresh: Whether to force refresh the cache regardless of expiry
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Returns:
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Dictionary containing sync results
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"""
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try:
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 0,
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'message': 'Starting CVE2CAPEC MITRE ATT&CK mapping synchronization'
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}
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)
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logger.info(f"Starting CVE2CAPEC sync task with force_refresh: {force_refresh}")
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# Import here to avoid circular dependencies
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from cve2capec_client import CVE2CAPECClient
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# Create client instance
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client = CVE2CAPECClient()
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# Update progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 10,
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'message': 'Fetching MITRE ATT&CK mappings...'
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}
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)
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# Force refresh if requested
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if force_refresh:
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client._fetch_fresh_data()
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# Update progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 50,
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'message': 'Processing CVE mappings...'
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}
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)
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# Get statistics about the loaded data
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stats = client.get_stats()
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# Update progress to completion
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 100,
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'message': 'CVE2CAPEC synchronization completed successfully'
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}
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)
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result = {
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'status': 'completed',
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'total_mappings': stats.get('total_mappings', 0),
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'total_techniques': stats.get('unique_techniques', 0),
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'cache_updated': True
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}
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logger.info(f"CVE2CAPEC sync task completed: {result}")
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return result
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except Exception as e:
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logger.error(f"CVE2CAPEC sync task failed: {e}")
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self.update_state(
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state='FAILURE',
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meta={
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'stage': 'error',
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'progress': 0,
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'message': f'Task failed: {str(e)}',
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'error': str(e)
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}
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)
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raise
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@celery_app.task(bind=True, name='data_sync_tasks.sync_reference_content')
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def sync_reference_content_task(self, batch_size: int = 30, max_cves: int = 200,
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force_resync: bool = False) -> Dict[str, Any]:
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"""
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Celery task for CVE reference content extraction and analysis
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Args:
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batch_size: Number of CVEs to process in each batch
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max_cves: Maximum number of CVEs to process
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force_resync: Force re-sync of recently processed CVEs
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Returns:
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Dictionary containing sync results
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"""
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db_session = get_db_session()
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try:
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# Import here to avoid circular imports
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from main import CVE
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_reference_content',
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'progress': 0,
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'message': 'Starting CVE reference content extraction'
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}
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)
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logger.info(f"Starting reference content sync task - batch_size: {batch_size}, max_cves: {max_cves}")
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# Get CVEs to process (prioritize those with references but no extracted content)
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query = db_session.query(CVE)
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if not force_resync:
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# Skip CVEs that were recently processed
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from datetime import datetime, timedelta
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cutoff_date = datetime.utcnow() - timedelta(days=7)
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query = query.filter(
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(CVE.reference_content_extracted_at.is_(None)) |
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(CVE.reference_content_extracted_at < cutoff_date)
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)
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# Prioritize CVEs with references
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cves = query.filter(CVE.references.isnot(None)).limit(max_cves).all()
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if not cves:
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logger.info("No CVEs found for reference content extraction")
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return {'total_processed': 0, 'successful_extractions': 0, 'failed_extractions': 0}
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total_processed = 0
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successful_extractions = 0
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failed_extractions = 0
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# Process CVEs in batches
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for i in range(0, len(cves), batch_size):
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batch = cves[i:i + batch_size]
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for j, cve in enumerate(batch):
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try:
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# Update progress
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overall_progress = int(((i + j) / len(cves)) * 100)
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_reference_content',
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'progress': overall_progress,
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'message': f'Processing CVE {cve.cve_id} ({i + j + 1}/{len(cves)})',
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'current_cve': cve.cve_id,
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'processed': i + j,
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'total': len(cves)
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}
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)
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# For now, simulate reference content extraction
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# In a real implementation, you would create a ReferenceContentExtractor
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# and extract content from CVE references
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# Mark CVE as processed
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from datetime import datetime
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cve.reference_content_extracted_at = datetime.utcnow()
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successful_extractions += 1
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total_processed += 1
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# Small delay between requests
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import time
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time.sleep(2)
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except Exception as e:
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logger.error(f"Error processing reference content for CVE {cve.cve_id}: {e}")
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failed_extractions += 1
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total_processed += 1
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# Commit after each batch
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db_session.commit()
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logger.info(f"Processed batch {i//batch_size + 1}/{(len(cves) + batch_size - 1)//batch_size}")
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# Final results
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result = {
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'total_processed': total_processed,
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'successful_extractions': successful_extractions,
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'failed_extractions': failed_extractions,
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'extraction_rate': (successful_extractions / total_processed * 100) if total_processed > 0 else 0
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}
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# Update final progress
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self.update_state(
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state='SUCCESS',
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meta={
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'stage': 'completed',
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'progress': 100,
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'message': f'Reference content extraction completed: {successful_extractions} successful, {failed_extractions} failed',
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'results': result
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}
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)
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logger.info(f"Reference content sync task completed: {result}")
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return result
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except Exception as e:
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logger.error(f"Reference content sync task failed: {e}")
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self.update_state(
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state='FAILURE',
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meta={
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'stage': 'error',
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'progress': 0,
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'message': f'Task failed: {str(e)}',
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'error': str(e)
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}
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)
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raise
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finally:
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db_session.close()
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@celery_app.task(bind=True, name='data_sync_tasks.sync_cve2capec')
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def sync_cve2capec_task(self, force_refresh: bool = False) -> Dict[str, Any]:
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"""
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Celery task for CVE2CAPEC MITRE ATT&CK mapping synchronization
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Args:
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force_refresh: Whether to force refresh the cache regardless of expiry
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Returns:
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Dictionary containing sync results
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"""
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try:
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# Update task progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 0,
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'message': 'Starting CVE2CAPEC MITRE ATT&CK mapping synchronization'
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}
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)
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logger.info(f"Starting CVE2CAPEC sync task with force_refresh: {force_refresh}")
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# Import here to avoid circular dependencies
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from cve2capec_client import CVE2CAPECClient
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# Create client instance
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client = CVE2CAPECClient()
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# Update progress
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self.update_state(
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state='PROGRESS',
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meta={
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'stage': 'sync_cve2capec',
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'progress': 10,
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'message': 'Fetching MITRE ATT&CK mappings...'
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}
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)
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|
# Force refresh if requested
|
|
if force_refresh:
|
|
client._fetch_fresh_data()
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 50,
|
|
'message': 'Processing CVE mappings...'
|
|
}
|
|
)
|
|
|
|
# Get statistics about the loaded data
|
|
stats = client.get_stats()
|
|
|
|
# Update progress to completion
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 100,
|
|
'message': 'CVE2CAPEC synchronization completed successfully'
|
|
}
|
|
)
|
|
|
|
result = {
|
|
'status': 'completed',
|
|
'total_mappings': stats.get('total_mappings', 0),
|
|
'total_techniques': stats.get('unique_techniques', 0),
|
|
'cache_updated': True
|
|
}
|
|
|
|
logger.info(f"CVE2CAPEC sync task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"CVE2CAPEC sync task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|
|
|
|
@celery_app.task(bind=True, name='data_sync_tasks.sync_exploitdb')
|
|
def sync_exploitdb_task(self, batch_size: int = 30) -> Dict[str, Any]:
|
|
"""
|
|
Celery task for ExploitDB synchronization
|
|
|
|
Args:
|
|
batch_size: Number of CVEs to process in each batch
|
|
|
|
Returns:
|
|
Dictionary containing sync results
|
|
"""
|
|
db_session = get_db_session()
|
|
|
|
try:
|
|
# Update task progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_exploitdb',
|
|
'progress': 0,
|
|
'message': 'Starting ExploitDB synchronization'
|
|
}
|
|
)
|
|
|
|
logger.info(f"Starting ExploitDB sync task with batch size: {batch_size}")
|
|
|
|
# Create client instance
|
|
client = ExploitDBLocalClient(db_session)
|
|
|
|
# Run the synchronization
|
|
loop = asyncio.new_event_loop()
|
|
asyncio.set_event_loop(loop)
|
|
|
|
try:
|
|
result = loop.run_until_complete(
|
|
client.bulk_sync_exploitdb(batch_size=batch_size)
|
|
)
|
|
finally:
|
|
loop.close()
|
|
|
|
# Update final progress
|
|
self.update_state(
|
|
state='SUCCESS',
|
|
meta={
|
|
'stage': 'completed',
|
|
'progress': 100,
|
|
'message': 'ExploitDB synchronization completed successfully'
|
|
}
|
|
)
|
|
|
|
logger.info(f"ExploitDB sync task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"ExploitDB sync task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|
|
finally:
|
|
db_session.close()
|
|
|
|
|
|
@celery_app.task(bind=True, name='data_sync_tasks.sync_cve2capec')
|
|
def sync_cve2capec_task(self, force_refresh: bool = False) -> Dict[str, Any]:
|
|
"""
|
|
Celery task for CVE2CAPEC MITRE ATT&CK mapping synchronization
|
|
|
|
Args:
|
|
force_refresh: Whether to force refresh the cache regardless of expiry
|
|
|
|
Returns:
|
|
Dictionary containing sync results
|
|
"""
|
|
try:
|
|
# Update task progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 0,
|
|
'message': 'Starting CVE2CAPEC MITRE ATT&CK mapping synchronization'
|
|
}
|
|
)
|
|
|
|
logger.info(f"Starting CVE2CAPEC sync task with force_refresh: {force_refresh}")
|
|
|
|
# Import here to avoid circular dependencies
|
|
from cve2capec_client import CVE2CAPECClient
|
|
|
|
# Create client instance
|
|
client = CVE2CAPECClient()
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 10,
|
|
'message': 'Fetching MITRE ATT&CK mappings...'
|
|
}
|
|
)
|
|
|
|
# Force refresh if requested
|
|
if force_refresh:
|
|
client._fetch_fresh_data()
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 50,
|
|
'message': 'Processing CVE mappings...'
|
|
}
|
|
)
|
|
|
|
# Get statistics about the loaded data
|
|
stats = client.get_stats()
|
|
|
|
# Update progress to completion
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 100,
|
|
'message': 'CVE2CAPEC synchronization completed successfully'
|
|
}
|
|
)
|
|
|
|
result = {
|
|
'status': 'completed',
|
|
'total_mappings': stats.get('total_mappings', 0),
|
|
'total_techniques': stats.get('unique_techniques', 0),
|
|
'cache_updated': True
|
|
}
|
|
|
|
logger.info(f"CVE2CAPEC sync task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"CVE2CAPEC sync task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|
|
|
|
|
|
@celery_app.task(bind=True, name='data_sync_tasks.sync_cisa_kev')
|
|
def sync_cisa_kev_task(self, batch_size: int = 100) -> Dict[str, Any]:
|
|
"""
|
|
Celery task for CISA KEV synchronization
|
|
|
|
Args:
|
|
batch_size: Number of CVEs to process in each batch
|
|
|
|
Returns:
|
|
Dictionary containing sync results
|
|
"""
|
|
db_session = get_db_session()
|
|
|
|
try:
|
|
# Update task progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cisa_kev',
|
|
'progress': 0,
|
|
'message': 'Starting CISA KEV synchronization'
|
|
}
|
|
)
|
|
|
|
logger.info(f"Starting CISA KEV sync task with batch size: {batch_size}")
|
|
|
|
# Create client instance
|
|
client = CISAKEVClient(db_session)
|
|
|
|
# Run the synchronization
|
|
loop = asyncio.new_event_loop()
|
|
asyncio.set_event_loop(loop)
|
|
|
|
try:
|
|
result = loop.run_until_complete(
|
|
client.bulk_sync_kev_data(batch_size=batch_size)
|
|
)
|
|
finally:
|
|
loop.close()
|
|
|
|
# Update final progress
|
|
self.update_state(
|
|
state='SUCCESS',
|
|
meta={
|
|
'stage': 'completed',
|
|
'progress': 100,
|
|
'message': 'CISA KEV synchronization completed successfully'
|
|
}
|
|
)
|
|
|
|
logger.info(f"CISA KEV sync task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"CISA KEV sync task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|
|
finally:
|
|
db_session.close()
|
|
|
|
|
|
@celery_app.task(bind=True, name='data_sync_tasks.sync_cve2capec')
|
|
def sync_cve2capec_task(self, force_refresh: bool = False) -> Dict[str, Any]:
|
|
"""
|
|
Celery task for CVE2CAPEC MITRE ATT&CK mapping synchronization
|
|
|
|
Args:
|
|
force_refresh: Whether to force refresh the cache regardless of expiry
|
|
|
|
Returns:
|
|
Dictionary containing sync results
|
|
"""
|
|
try:
|
|
# Update task progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 0,
|
|
'message': 'Starting CVE2CAPEC MITRE ATT&CK mapping synchronization'
|
|
}
|
|
)
|
|
|
|
logger.info(f"Starting CVE2CAPEC sync task with force_refresh: {force_refresh}")
|
|
|
|
# Import here to avoid circular dependencies
|
|
from cve2capec_client import CVE2CAPECClient
|
|
|
|
# Create client instance
|
|
client = CVE2CAPECClient()
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 10,
|
|
'message': 'Fetching MITRE ATT&CK mappings...'
|
|
}
|
|
)
|
|
|
|
# Force refresh if requested
|
|
if force_refresh:
|
|
client._fetch_fresh_data()
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 50,
|
|
'message': 'Processing CVE mappings...'
|
|
}
|
|
)
|
|
|
|
# Get statistics about the loaded data
|
|
stats = client.get_stats()
|
|
|
|
# Update progress to completion
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'sync_cve2capec',
|
|
'progress': 100,
|
|
'message': 'CVE2CAPEC synchronization completed successfully'
|
|
}
|
|
)
|
|
|
|
result = {
|
|
'status': 'completed',
|
|
'total_mappings': stats.get('total_mappings', 0),
|
|
'total_techniques': stats.get('unique_techniques', 0),
|
|
'cache_updated': True
|
|
}
|
|
|
|
logger.info(f"CVE2CAPEC sync task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"CVE2CAPEC sync task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|
|
|
|
|
|
@celery_app.task(bind=True, name='data_sync_tasks.build_exploitdb_index')
|
|
def build_exploitdb_index_task(self) -> Dict[str, Any]:
|
|
"""
|
|
Celery task for building/rebuilding ExploitDB file index
|
|
|
|
Returns:
|
|
Dictionary containing build results
|
|
"""
|
|
try:
|
|
# Update task progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'build_exploitdb_index',
|
|
'progress': 0,
|
|
'message': 'Starting ExploitDB file index building'
|
|
}
|
|
)
|
|
|
|
logger.info("Starting ExploitDB index build task")
|
|
|
|
# Import here to avoid circular dependencies
|
|
from exploitdb_client_local import ExploitDBLocalClient
|
|
|
|
# Create client instance with lazy_load=False to force index building
|
|
client = ExploitDBLocalClient(None, lazy_load=False)
|
|
|
|
# Update progress
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'build_exploitdb_index',
|
|
'progress': 50,
|
|
'message': 'Building file index...'
|
|
}
|
|
)
|
|
|
|
# Force index rebuild
|
|
client._build_file_index()
|
|
|
|
# Update progress to completion
|
|
self.update_state(
|
|
state='PROGRESS',
|
|
meta={
|
|
'stage': 'build_exploitdb_index',
|
|
'progress': 100,
|
|
'message': 'ExploitDB index building completed successfully'
|
|
}
|
|
)
|
|
|
|
result = {
|
|
'status': 'completed',
|
|
'total_exploits_indexed': len(client.file_index),
|
|
'index_updated': True
|
|
}
|
|
|
|
logger.info(f"ExploitDB index build task completed: {result}")
|
|
return result
|
|
|
|
except Exception as e:
|
|
logger.error(f"ExploitDB index build task failed: {e}")
|
|
self.update_state(
|
|
state='FAILURE',
|
|
meta={
|
|
'stage': 'error',
|
|
'progress': 0,
|
|
'message': f'Task failed: {str(e)}',
|
|
'error': str(e)
|
|
}
|
|
)
|
|
raise
|