turash/bugulma/backend/internal/financial/calculator_test.go
Damir Mukimov 000eab4740
Major repository reorganization and missing backend endpoints implementation
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)
2025-11-25 06:01:16 +01:00

284 lines
6.4 KiB
Go

package financial
import (
"testing"
)
func TestFinancialCalculator_NewCalculator(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
if calc == nil {
t.Error("NewCalculator() returned nil")
}
}
func TestFinancialCalculator_Calculate_Basic(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
data := &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 10.0,
AnnualVolume: 1000.0,
CostIn: 100.0,
CostOut: 20.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
result, err := calc.Calculate(AnalysisTypeBasic, data, assumptions)
if err != nil {
t.Fatalf("Calculate() error = %v", err)
}
analysis, ok := result.(*EconomicAnalysis)
if !ok {
t.Error("Calculate() returned wrong type")
}
if analysis.AnalysisType != AnalysisTypeBasic {
t.Errorf("AnalysisType = %v, want %v", analysis.AnalysisType, AnalysisTypeBasic)
}
if analysis.Version != "1.0.0" {
t.Errorf("Version = %v, want 1.0.0", analysis.Version)
}
if analysis.AnalysisDate.IsZero() {
t.Error("AnalysisDate should not be zero")
}
}
func TestFinancialCalculator_Calculate_Advanced(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
data := &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 10.0,
AnnualVolume: 1000.0,
CostIn: 100.0,
CostOut: 20.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
result, err := calc.Calculate(AnalysisTypeAdvanced, data, assumptions)
if err != nil {
t.Fatalf("Calculate() error = %v", err)
}
analysis, ok := result.(*AdvancedEconomicAnalysis)
if !ok {
t.Error("Calculate() returned wrong type")
}
if analysis.AnalysisType != AnalysisTypeAdvanced {
t.Errorf("AnalysisType = %v, want %v", analysis.AnalysisType, AnalysisTypeAdvanced)
}
if len(analysis.SensitivityScenarios) == 0 {
t.Error("SensitivityScenarios should not be empty")
}
if analysis.RiskProfile.RiskLevel == "" {
t.Error("RiskProfile should be populated")
}
if len(analysis.RegulatoryRequirements) == 0 {
t.Error("RegulatoryRequirements should not be empty")
}
if analysis.CO2ReductionBreakdown.TotalTonnes <= 0 {
t.Error("CO2ReductionBreakdown should have positive total")
}
}
func TestFinancialCalculator_Calculate_Sensitivity(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
data := &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 10.0,
AnnualVolume: 1000.0,
CostIn: 100.0,
CostOut: 20.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
result, err := calc.Calculate(AnalysisTypeSensitivity, data, assumptions)
if err != nil {
t.Fatalf("Calculate() error = %v", err)
}
analysis, ok := result.(*EconomicAnalysis)
if !ok {
t.Error("Calculate() returned wrong type")
}
if analysis.AnalysisType != AnalysisTypeSensitivity {
t.Errorf("AnalysisType = %v, want %v", analysis.AnalysisType, AnalysisTypeSensitivity)
}
}
func TestFinancialCalculator_Calculate_InvalidType(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
data := &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 10.0,
AnnualVolume: 1000.0,
CostIn: 100.0,
CostOut: 20.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
_, err := calc.Calculate("invalid", data, assumptions)
if err == nil {
t.Error("Calculate() expected error for invalid analysis type")
}
}
func TestAssessImplementationComplexity(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
tests := []struct {
name string
data *ResourceFlowData
wantScore float64
}{
{
name: "Simple heat exchange",
data: &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 5.0,
AnnualVolume: 1000.0,
},
wantScore: 1.0,
},
{
name: "Complex long-distance",
data: &ResourceFlowData{
ResourceType: "heat",
DistanceKm: 200.0,
AnnualVolume: 15000.0,
},
wantScore: 1.5, // Base + 0.3 (distance) + 0.2 (volume)
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
// Access the internal method by casting
fc := calc.(*FinancialCalculator)
complexity := fc.assessImplementationComplexity(tt.data)
if complexity.Score != tt.wantScore {
t.Errorf("assessImplementationComplexity() = %v, want %v", complexity.Score, tt.wantScore)
}
})
}
}
func TestIdentifyRegulatoryRequirements(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
fc := calc.(*FinancialCalculator)
requirements := fc.identifyRegulatoryRequirements("heat")
if len(requirements) == 0 {
t.Error("identifyRegulatoryRequirements() should return requirements for heat")
}
for _, req := range requirements {
if req.Type == "" || req.EstimatedCost <= 0 {
t.Errorf("Regulatory requirement incomplete: %+v", req)
}
}
}
func TestCalculateCO2ReductionBreakdown(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
fc := calc.(*FinancialCalculator)
breakdown := fc.calculateCO2ReductionBreakdown("heat", 1000.0, 10.0)
if breakdown.TotalTonnes <= 0 {
t.Error("calculateCO2ReductionBreakdown() should return positive total")
}
if len(breakdown.Categories) == 0 {
t.Error("calculateCO2ReductionBreakdown() should return categories")
}
for _, category := range breakdown.Categories {
if category.Name == "" || category.Tonnes < 0 {
t.Errorf("CO2 category invalid: %+v", category)
}
}
}
func TestGenerateMitigationStrategies(t *testing.T) {
config := DefaultConfig()
calc := NewCalculator(config)
fc := calc.(*FinancialCalculator)
tests := []struct {
name string
riskLevel string
wantCount int
}{
{
name: "High risk",
riskLevel: "high",
wantCount: 4, // Should have multiple strategies
},
{
name: "Low risk",
riskLevel: "low",
wantCount: 2, // Should have basic strategies
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
risk := &RiskAssessment{
RiskLevel: tt.riskLevel,
}
strategies := fc.generateMitigationStrategies(risk)
if len(strategies) != tt.wantCount {
t.Errorf("generateMitigationStrategies() = %v strategies, want %v", len(strategies), tt.wantCount)
}
for _, strategy := range strategies {
if strategy == "" {
t.Error("generateMitigationStrategies() returned empty strategy")
}
}
})
}
}