Add user delete process
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@@ -9,6 +9,7 @@ from pydantic import BaseModel, Field
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import structlog
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from shared.auth.decorators import get_current_user_dep
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from shared.auth.access_control import service_only_access
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logger = structlog.get_logger()
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@@ -236,3 +237,124 @@ async def get_trends(
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except Exception as e:
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logger.error("Failed to get alert trends", error=str(e), tenant_id=str(tenant_id))
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raise HTTPException(status_code=500, detail=f"Failed to get trends: {str(e)}")
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# ============================================================================
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# Tenant Data Deletion Operations (Internal Service Only)
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# ============================================================================
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@router.delete(
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"/api/v1/alerts/tenant/{tenant_id}",
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response_model=dict
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)
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@service_only_access
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async def delete_tenant_data(
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tenant_id: str = Path(..., description="Tenant ID to delete data for"),
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current_user: dict = Depends(get_current_user_dep)
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):
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"""
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Delete all alert data for a tenant (Internal service only)
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This endpoint is called by the orchestrator during tenant deletion.
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It permanently deletes all alert-related data including:
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- Alerts (all types and severities)
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- Alert interactions
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- Audit logs
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**WARNING**: This operation is irreversible!
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Returns:
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Deletion summary with counts of deleted records
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"""
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from app.services.tenant_deletion_service import AlertProcessorTenantDeletionService
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from app.config import AlertProcessorConfig
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from shared.database.base import create_database_manager
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try:
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logger.info("alert_processor.tenant_deletion.api_called", tenant_id=tenant_id)
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config = AlertProcessorConfig()
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db_manager = create_database_manager(config.DATABASE_URL, "alert-processor")
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async with db_manager.get_session() as session:
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deletion_service = AlertProcessorTenantDeletionService(session)
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result = await deletion_service.safe_delete_tenant_data(tenant_id)
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if not result.success:
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raise HTTPException(
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status_code=500,
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detail=f"Tenant data deletion failed: {', '.join(result.errors)}"
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)
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return {
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"message": "Tenant data deletion completed successfully",
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"summary": result.to_dict()
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error("alert_processor.tenant_deletion.api_error",
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tenant_id=tenant_id,
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error=str(e),
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exc_info=True)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to delete tenant data: {str(e)}"
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)
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@router.get(
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"/api/v1/alerts/tenant/{tenant_id}/deletion-preview",
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response_model=dict
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)
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@service_only_access
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async def preview_tenant_data_deletion(
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tenant_id: str = Path(..., description="Tenant ID to preview deletion for"),
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current_user: dict = Depends(get_current_user_dep)
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):
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"""
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Preview what data would be deleted for a tenant (dry-run)
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This endpoint shows counts of all data that would be deleted
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without actually deleting anything. Useful for:
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- Confirming deletion scope before execution
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- Auditing and compliance
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- Troubleshooting
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Returns:
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Dictionary with entity names and their counts
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"""
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from app.services.tenant_deletion_service import AlertProcessorTenantDeletionService
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from app.config import AlertProcessorConfig
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from shared.database.base import create_database_manager
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try:
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logger.info("alert_processor.tenant_deletion.preview_called", tenant_id=tenant_id)
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config = AlertProcessorConfig()
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db_manager = create_database_manager(config.DATABASE_URL, "alert-processor")
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async with db_manager.get_session() as session:
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deletion_service = AlertProcessorTenantDeletionService(session)
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preview = await deletion_service.get_tenant_data_preview(tenant_id)
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total_records = sum(preview.values())
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return {
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"tenant_id": tenant_id,
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"service": "alert_processor",
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"preview": preview,
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"total_records": total_records,
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"warning": "These records will be permanently deleted and cannot be recovered"
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}
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except Exception as e:
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logger.error("alert_processor.tenant_deletion.preview_error",
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tenant_id=tenant_id,
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error=str(e),
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exc_info=True)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to preview tenant data deletion: {str(e)}"
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)
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