Files
2025-09-29 14:07:15 +02:00

87 lines
3.8 KiB
Python

from celery import shared_task
from backend.core.models import Organization, Document, Risk, Control, DocumentRiskControl
from backend.core.utils import get_top_risk, get_controls_for_risk, generate_key_findings, generate_recommendations
from django.shortcuts import get_object_or_404, render
from .utils import send_payment_email, send_document_to_reviewer
from backend.core.tables import get_risk_table
import logging
logger = logging.getLogger(__name__)
@shared_task
def create_document_for_organization(confirmation_email):
is_incomplete = False
organization = get_object_or_404(Organization, email=confirmation_email)
top_risks_with_explanation = get_top_risk(organization)
top_risk_ids = [r['risk_id'] for r in top_risks_with_explanation]
if len(top_risk_ids) != 10:
is_incomplete = True
top_risks_with_explanation = get_top_risk(organization)
top_risk_ids = [r['risk_id'] for r in top_risks_with_explanation]
top_risks = Risk.objects.filter(risk_id__in=top_risk_ids)
organization.risks.set(top_risks)
explanation_map = {r['risk_id']: r['explanation'] for r in top_risks_with_explanation}
document = Document.objects.create(organization=organization)
document.risk_explanations = explanation_map
document.add_segment('h1', "Top 10 Risks Identified")
risk_content = "\n\n".join([
f"Risk: {risk.risk_id} - {risk.risk_name} \n"
f"Category: {risk.category}\n"
f"Primary Impact: {risk.primary_impact} \n"
f"Secondary Impact: {risk.secondary_impact}\n"
f"Tertiary Impact: {risk.tretiary_impact} \n"
f"Detection Difficulty: {risk.detection_difficulty} \n"
f"Recovery Complexity: {risk.recovery_complexity} \n"
f"Business Impact Severity: {risk.businnes_impact_severity}\n"
f"Explanation: {explanation_map.get(risk.risk_id, '')}\n"
for risk in top_risks
])
document.add_segment('body', f"Identified Risks: \n\n{risk_content}")
controls_content = "Mitigation Controls:\n\n"
for risk in top_risks:
controls_content += f"Risk: {risk.risk_id} - {risk.risk_name}\n"
selected_controls = get_controls_for_risk(risk ,organization=organization)
if len(selected_controls) < 10:
is_incomplete = True
selected_controls = get_controls_for_risk(risk, organization=organization)
for control_id, weight, likelihood in selected_controls:
control = Control.objects.filter(id=control_id).first()
if control:
DocumentRiskControl.objects.create(
document=document,
risk=risk,
control=control,
weight=weight,
likelihood=likelihood
)
label = f"{control.subcategory} - {control.function or ''}".rstrip(" -")
controls_content += f" - Control: {label} (Impact Weight: {weight}/10) (Likelihood: {likelihood}/10)\n"
controls_content += "\n"
document.add_segment('body', controls_content)
risks_by_weight = get_risk_table(document)[:3]
key_findings = generate_key_findings(document, risks_by_weight)
if key_findings:
document.key_findings = key_findings
document.save()
risk_for_recomendation = get_risk_table(document)[:10]
recommendations = generate_recommendations(risk_for_recomendation, organization)
if recommendations:
document.recomendations = recommendations
document.save()
if is_incomplete:
logger.info("Marking document %s as INCOMPLETE (is_incomplete=%s)", document.id, is_incomplete)
document.status = Document.STATUS_INCOMPLETE
document.save(update_fields=['status', 'modified_at'])
send_payment_email(confirmation_email)