ranger-app/src/services/googleVisionService.ts

// src/services/googleVisionService.ts

export interface VisionAnalysisResult {
  description?: string
  error?: string
  isAnimal?: boolean
  rawResponse?: any
}

export interface VisionConfig {
  modelId: string
  name: string
  description: string
  cost: number
}

export const VISION_CONFIG: VisionConfig = {
  modelId: "google-vision-v1",
  name: "Worldwide Animal Oracle",
  description: "Upload photos of your wildlife encounters from the real world. Verified animal images will be added to the Animal Registry.",
  cost: 3
}

export async function analyzeImage(imageFile: File): Promise<VisionAnalysisResult> {
  try {
    const formData = new FormData()
    formData.append('image', imageFile)

    const response = await fetch('/api/analyze', {
      method: 'POST',
      body: formData
    })

    if (!response.ok) {
      const error = await response.json()
      throw new Error(error.error || 'Failed to analyze image')
    }

    return await response.json()
  } catch (error) {
    console.error('Vision analysis error:', error)
    return {
      error: error instanceof Error ? error.message : 'Failed to analyze image'
    }
  }
}