senaduka/old-riskletpy
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merged crown jewels

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This commit is contained in:
Amir
2025-09-17 15:24:34 +02:00
parent 923ce23009
commit f07636b175
9 changed files with 251 additions and 232 deletions
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31
backend/core/forms.py
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@@ -9,14 +9,12 @@ class OrganizationForm(forms.ModelForm):
'compliance_frameworks', 'industry_sector', 'it_dependency', 'data_sensitivity',
'network_infrastructure', 'remote_workforce_percentage', 'third_party_vendor_access',
'internal_software_development', 'geographic_scope', 'customer_base', 'customer_type',
'product_portfolio', 'supplier_base', 'it_infrastructure', 'intellectual_property',
'sensitive_data','sensitive_data_types', 'integration_level', 'ip_value', 'change_rate', 'threat_actors', 'expert_analysis'
'product_portfolio', 'supplier_base', 'it_infrastructure',
'sensitive_data_types', 'integration_level', 'change_rate', 'threat_actors', 'expert_analysis'
]
widgets = {
'compliance_frameworks': forms.CheckboxSelectMultiple(),
'it_infrastructure': forms.CheckboxSelectMultiple(),
'intellectual_property': forms.CheckboxSelectMultiple(),
'sensitive_data': forms.CheckboxSelectMultiple(),
'threat_actors': forms.CheckboxSelectMultiple(),
'sensitive_data_types': forms.CheckboxSelectMultiple(),
}
@@ -38,13 +36,24 @@ class OrganizationForm(forms.ModelForm):
if sector == 'other' and sector_other:
cleaned_data['industry_sector'] = sector_other
# Handle sensitive_data_types
types = cleaned_data.get('sensitive_data_types') or []
other_type = self.data.get('sensitive_data_types_other', '').strip()
if 'other' in types and other_type:
types = [t for t in types if t != 'other']
types.append(other_type)
cleaned_data['sensitive_data_types'] = types
# Handle Sensitive Data Types & Business Impact
sensitive_data_types = {}
data_types = [
('personal', 'personal_applicable', 'personal_impact'),
('financial', 'financial_applicable', 'financial_impact'),
('ip', 'ip_applicable', 'ip_impact'),
('operational', 'operational_applicable', 'operational_impact'),
('government', 'government_applicable', 'government_impact'),
('none', 'none_applicable', None)
]
for key, applicable_name, impact_name in data_types:
applicable = self.data.get(applicable_name) == 'on'
entry = {'applicable': applicable}
if impact_name:
impact = self.data.get(impact_name)
entry['impact'] = int(impact) if impact and impact.isdigit() else None
sensitive_data_types[key] = entry
cleaned_data['sensitive_data_types'] = sensitive_data_types
return cleaned_data