mirror of
https://github.com/SamyRai/turash.git
synced 2025-12-26 23:01:33 +00:00
Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
132 lines
3.8 KiB
Go
132 lines
3.8 KiB
Go
package financial
|
|
|
|
// RiskAssessorImpl implements RiskAssessor interface
|
|
type RiskAssessorImpl struct {
|
|
config *Config
|
|
}
|
|
|
|
// NewRiskAssessor creates a new risk assessor
|
|
func NewRiskAssessor(config *Config) RiskAssessor {
|
|
return &RiskAssessorImpl{config: config}
|
|
}
|
|
|
|
// AssessRisk performs comprehensive risk assessment based on resource flow data
|
|
func (ra *RiskAssessorImpl) AssessRisk(data *ResourceFlowData) *RiskAssessment {
|
|
risk := &RiskAssessment{}
|
|
|
|
// Technical risk based on distance and resource type
|
|
risk.TechnicalRisk = ra.calculateTechnicalRisk(data.DistanceKm, data.ResourceType)
|
|
|
|
// Regulatory risk based on resource type
|
|
risk.RegulatoryRisk = ra.calculateRegulatoryRisk(data.ResourceType)
|
|
|
|
// Market risk based on volume stability
|
|
risk.MarketRisk = ra.calculateMarketRisk(data.AnnualVolume)
|
|
|
|
// Counterparty risk (simplified - would need more business logic)
|
|
risk.CounterpartyRisk = 0.3 // Default medium risk
|
|
|
|
// Calculate overall risk as weighted average
|
|
risk.OverallRisk = (risk.TechnicalRisk*0.4 + risk.RegulatoryRisk*0.3 + risk.MarketRisk*0.2 + risk.CounterpartyRisk*0.1)
|
|
|
|
// Determine risk level
|
|
risk.RiskLevel = ra.calculateRiskLevel(risk.OverallRisk)
|
|
|
|
// Identify primary risk factors
|
|
risk.PrimaryRisks = ra.identifyPrimaryRiskFactors(data, risk)
|
|
|
|
return risk
|
|
}
|
|
|
|
// calculateTechnicalRisk assesses technical implementation risk
|
|
func (ra *RiskAssessorImpl) calculateTechnicalRisk(distanceKm float64, resourceType string) float64 {
|
|
risk := 0.0
|
|
|
|
// Distance risk
|
|
if distanceKm > 50 {
|
|
risk += 0.3
|
|
} else if distanceKm > 20 {
|
|
risk += 0.1
|
|
}
|
|
|
|
// Resource type risk
|
|
switch resourceType {
|
|
case "heat", "steam", "cooling":
|
|
risk += 0.2 // Infrastructure complexity
|
|
case "biowaste", "CO2":
|
|
risk += 0.4 // Handling and safety requirements
|
|
case "materials":
|
|
risk += 0.1 // Relatively straightforward
|
|
}
|
|
|
|
return risk
|
|
}
|
|
|
|
// calculateRegulatoryRisk assesses regulatory compliance risk
|
|
func (ra *RiskAssessorImpl) calculateRegulatoryRisk(resourceType string) float64 {
|
|
switch resourceType {
|
|
case "biowaste":
|
|
return 0.6 // High regulatory requirements
|
|
case "CO2", "water":
|
|
return 0.4 // Medium regulatory requirements
|
|
case "heat", "steam":
|
|
return 0.2 // Lower regulatory requirements
|
|
default:
|
|
return 0.3
|
|
}
|
|
}
|
|
|
|
// calculateMarketRisk assesses market and volume stability risk
|
|
func (ra *RiskAssessorImpl) calculateMarketRisk(annualVolume float64) float64 {
|
|
if annualVolume < 100 {
|
|
return 0.7 // High risk for low volume
|
|
} else if annualVolume < 1000 {
|
|
return 0.4 // Medium risk
|
|
}
|
|
return 0.1 // Low risk for high volume
|
|
}
|
|
|
|
// calculateRiskLevel determines risk level from overall risk score
|
|
func (ra *RiskAssessorImpl) calculateRiskLevel(overallRisk float64) string {
|
|
switch {
|
|
case overallRisk < ra.config.RiskThresholds.Low:
|
|
return "low"
|
|
case overallRisk < ra.config.RiskThresholds.Medium:
|
|
return "medium"
|
|
case overallRisk < ra.config.RiskThresholds.High:
|
|
return "high"
|
|
default:
|
|
return "critical"
|
|
}
|
|
}
|
|
|
|
// identifyPrimaryRiskFactors identifies the main risk factors contributing to overall risk
|
|
func (ra *RiskAssessorImpl) identifyPrimaryRiskFactors(data *ResourceFlowData, risk *RiskAssessment) []string {
|
|
var primaryRisks []string
|
|
|
|
// Technical risk factors
|
|
if data.DistanceKm > 100 {
|
|
primaryRisks = append(primaryRisks, "technical_failure")
|
|
}
|
|
if data.ResourceType == "biowaste" || data.ResourceType == "CO2" {
|
|
primaryRisks = append(primaryRisks, "technical_failure")
|
|
}
|
|
|
|
// Regulatory risk factors
|
|
if data.ResourceType == "biowaste" {
|
|
primaryRisks = append(primaryRisks, "regulatory_changes")
|
|
}
|
|
|
|
// Market risk factors
|
|
if data.AnnualVolume < 500 {
|
|
primaryRisks = append(primaryRisks, "market_volatility")
|
|
}
|
|
|
|
// Distance-related market risk
|
|
if data.DistanceKm > 200 {
|
|
primaryRisks = append(primaryRisks, "market_volatility")
|
|
}
|
|
|
|
return primaryRisks
|
|
}
|