124 lines
4.1 KiB
TypeScript
124 lines
4.1 KiB
TypeScript
import type {
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AvatarGenerationPort,
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AvatarGenerationOptions,
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AvatarGenerationResult,
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} from '@core/media';
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/**
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* Demo implementation of AvatarGenerationPort.
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*
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* In production, this would use a real AI image generation API like:
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* - OpenAI DALL-E
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* - Midjourney API
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* - Stable Diffusion
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* - RunwayML
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*
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* For demo purposes, this returns placeholder avatar images.
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*/
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export class DemoAvatarGenerationAdapter implements AvatarGenerationPort {
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private readonly placeholderAvatars: Record<string, string[]> = {
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red: [
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'/images/avatars/generated/red-1.png',
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'/images/avatars/generated/red-2.png',
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'/images/avatars/generated/red-3.png',
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],
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blue: [
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'/images/avatars/generated/blue-1.png',
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'/images/avatars/generated/blue-2.png',
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'/images/avatars/generated/blue-3.png',
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],
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green: [
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'/images/avatars/generated/green-1.png',
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'/images/avatars/generated/green-2.png',
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'/images/avatars/generated/green-3.png',
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],
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yellow: [
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'/images/avatars/generated/yellow-1.png',
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'/images/avatars/generated/yellow-2.png',
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'/images/avatars/generated/yellow-3.png',
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],
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orange: [
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'/images/avatars/generated/orange-1.png',
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'/images/avatars/generated/orange-2.png',
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'/images/avatars/generated/orange-3.png',
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],
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purple: [
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'/images/avatars/generated/purple-1.png',
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'/images/avatars/generated/purple-2.png',
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'/images/avatars/generated/purple-3.png',
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],
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black: [
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'/images/avatars/generated/black-1.png',
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'/images/avatars/generated/black-2.png',
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'/images/avatars/generated/black-3.png',
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],
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white: [
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'/images/avatars/generated/white-1.png',
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'/images/avatars/generated/white-2.png',
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'/images/avatars/generated/white-3.png',
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],
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pink: [
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'/images/avatars/generated/pink-1.png',
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'/images/avatars/generated/pink-2.png',
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'/images/avatars/generated/pink-3.png',
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],
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cyan: [
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'/images/avatars/generated/cyan-1.png',
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'/images/avatars/generated/cyan-2.png',
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'/images/avatars/generated/cyan-3.png',
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],
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};
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async generateAvatars(options: AvatarGenerationOptions): Promise<AvatarGenerationResult> {
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// Simulate AI processing time (1-3 seconds)
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await this.delay(1500 + Math.random() * 1500);
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// Log what would be sent to the AI (for debugging)
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console.log('[DemoAvatarGeneration] Would generate with prompt:', options.prompt);
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console.log('[DemoAvatarGeneration] Suit color:', options.suitColor);
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console.log('[DemoAvatarGeneration] Style:', options.style);
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console.log('[DemoAvatarGeneration] Count:', options.count);
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// For demo, return placeholder URLs based on suit color
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// In production, these would be actual AI-generated images
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const colorAvatars = this.getPlaceholderAvatars(options.suitColor) ?? [];
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// Generate unique URLs with a hash to simulate different generations
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const hash = this.generateHash((options.facePhotoUrl ?? '') + Date.now());
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const avatars = colorAvatars.slice(0, options.count).map((baseUrl, index) => {
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// In demo mode, use dicebear or similar for generating varied avatars
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const seed = `${hash}-${options.suitColor}-${index}`;
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return {
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url: `https://api.dicebear.com/7.x/personas/svg?seed=${seed}&backgroundColor=transparent`,
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thumbnailUrl: `https://api.dicebear.com/7.x/personas/svg?seed=${seed}&backgroundColor=transparent&size=64`,
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};
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});
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return {
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success: true,
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avatars,
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};
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}
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private delay(ms: number): Promise<void> {
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return new Promise((resolve) => setTimeout(resolve, ms));
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}
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private getPlaceholderAvatars(color: string): string[] | undefined {
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const avatars = this.placeholderAvatars[color];
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if (!avatars || avatars.length === 0) {
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return this.placeholderAvatars.blue;
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}
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return avatars;
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}
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private generateHash(input: string): string {
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let hash = 0;
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for (let i = 0; i < input.length; i += 1) {
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const char = input.charCodeAt(i);
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hash = (hash << 5) - hash + char;
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hash |= 0;
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}
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return Math.abs(hash).toString(36);
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}
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} |