export type Complexity = 'low' | 'medium' | 'high'

export interface AIAnalysisResponse {
  complexity: Complexity
  logicRules: string[]
}

export async function analyzeFeatureWithAI(
  featureName: string,
  description: string,
  requirements: string[],
  projectType?: string,
  userSelectedComplexity?: Complexity
): Promise<AIAnalysisResponse> {
  try {
    const res = await fetch('/api/ai/analyze', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ featureName, description, requirements, projectType, complexity: userSelectedComplexity }),
    })
    const json = await res.json()
    if (!res.ok || !json.success) {
      throw new Error(json.message || `AI request failed (${res.status})`)
    }
    const data = json.data as AIAnalysisResponse
    return { complexity: data.complexity, logicRules: data.logicRules }
  } catch (error) {
    // Fallback if the server route fails
    return {
      complexity: 'medium',
      logicRules: [
        'Unable to determine specific business rules due to insufficient requirements information',
        'Generic logic implementation may be required',
        'Basic validation rules should be considered',
      ],
    }
  }
}