turash/bugulma/backend/internal/financial/sensitivity_analyzer_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

154 lines
4.0 KiB
Go

package financial
import (
"testing"
)
func TestSensitivityAnalyzer_AnalyzeSensitivity(t *testing.T) {
config := DefaultConfig()
npvCalc := NewNPVCalculator()
sa := NewSensitivityAnalyzer(config, npvCalc)
basic := &EconomicAnalysis{
NPV: 100000.0,
AnnualSavings: 15000.0,
CapexRequired: 50000.0,
OpexPerYear: 2000.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
scenarios := sa.AnalyzeSensitivity(basic, assumptions)
// Should have scenarios for: discount_rate (-20%, -10%, +10%, +20%),
// capex (-20%, -10%, +10%, +20%), annual_savings (-20%, -10%, +10%, +20%),
// opex (-20%, -10%, +10%, +20%), project_life (-20%, +20%),
// co2_price (-50%, +50%, +100%)
expectedCount := 4 + 4 + 4 + 4 + 2 + 3 // 21 scenarios
if len(scenarios) != expectedCount {
t.Errorf("AnalyzeSensitivity() returned %d scenarios, want %d", len(scenarios), expectedCount)
}
// Check that scenarios have proper structure
for i, scenario := range scenarios {
if scenario.VariableName == "" {
t.Errorf("Scenario %d: VariableName is empty", i)
}
if scenario.BaseValue <= 0 {
t.Errorf("Scenario %d: BaseValue is not positive: %v", i, scenario.BaseValue)
}
if scenario.RiskLevel == "" {
t.Errorf("Scenario %d: RiskLevel is empty", i)
}
}
}
func TestSensitivityAnalyzer_CalculateRiskLevel(t *testing.T) {
config := DefaultConfig()
npvCalc := NewNPVCalculator()
sa := NewSensitivityAnalyzer(config, npvCalc)
tests := []struct {
name string
impact float64
expected string
}{
{"Low impact", 0.05, "low"}, // < 0.3
{"Medium impact", 0.45, "medium"}, // 0.3-0.6
{"High impact", 0.7, "high"}, // 0.6-0.8
{"Critical impact", 0.9, "critical"}, // > 0.8
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
impl := sa.(*SensitivityAnalyzerImpl)
result := impl.calculateRiskLevel(tt.impact)
if result != tt.expected {
t.Errorf("calculateRiskLevel(%v) = %v, want %v", tt.impact, result, tt.expected)
}
})
}
}
func TestSensitivityAnalyzer_DiscountRateSensitivity(t *testing.T) {
config := DefaultConfig()
npvCalc := NewNPVCalculator()
sa := NewSensitivityAnalyzer(config, npvCalc)
basic := &EconomicAnalysis{
NPV: 100000.0,
AnnualSavings: 15000.0,
CapexRequired: 50000.0,
OpexPerYear: 2000.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
scenarios := sa.AnalyzeSensitivity(basic, assumptions)
// Find discount rate scenarios
var discountScenarios []SensitivityScenario
for _, scenario := range scenarios {
if scenario.VariableName == "discount_rate" {
discountScenarios = append(discountScenarios, scenario)
}
}
if len(discountScenarios) != 4 {
t.Errorf("Expected 4 discount rate scenarios, got %d", len(discountScenarios))
}
// Check that base value matches assumptions
for _, scenario := range discountScenarios {
if scenario.BaseValue != 0.08 {
t.Errorf("Discount rate scenario base value = %v, want 0.08", scenario.BaseValue)
}
}
}
func TestSensitivityAnalyzer_CO2PriceSensitivity(t *testing.T) {
config := DefaultConfig()
npvCalc := NewNPVCalculator()
sa := NewSensitivityAnalyzer(config, npvCalc)
basic := &EconomicAnalysis{
NPV: 100000.0,
AnnualSavings: 15000.0,
CapexRequired: 50000.0,
OpexPerYear: 2000.0,
}
assumptions := &EconomicAssumptions{
DiscountRate: 0.08,
ProjectLifeYears: 10,
}
scenarios := sa.AnalyzeSensitivity(basic, assumptions)
// Find CO2 price scenarios
var co2Scenarios []SensitivityScenario
for _, scenario := range scenarios {
if scenario.VariableName == "co2_price" {
co2Scenarios = append(co2Scenarios, scenario)
}
}
if len(co2Scenarios) != 3 {
t.Errorf("Expected 3 CO2 price scenarios, got %d", len(co2Scenarios))
}
// Check that base value is €25/tonne
for _, scenario := range co2Scenarios {
if scenario.BaseValue != 25.0 {
t.Errorf("CO2 price scenario base value = %v, want 25.0", scenario.BaseValue)
}
}
}