sofia-cloud / src /app /api /generate /image /route.ts
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import { NextRequest, NextResponse } from "next/server";
import ZAI from "z-ai-web-dev-sdk";
import { db } from "@/lib/db";
import type { Content } from "@prisma/client";
// Reglas de censura por plataforma
const CENSOR_RULES: Record<string, string[]> = {
youtube: [
"no nudity",
"no sexual content",
"no graphic violence",
"family friendly"
],
tiktok: [
"no nudity",
"no sexual suggestiveness",
"no graphic violence",
"no self-harm content",
"age appropriate"
],
instagram: [
"no nudity",
"no graphic violence",
"artistic content acceptable with moderation",
"no self-harm imagery"
],
twitter: [
"content warning if sensitive",
"no illegal content"
],
general: [
"safe for work",
"no explicit content"
]
};
// Aplicar filtros de censura al prompt
function applyCensorFilter(prompt: string, platform: string): string {
const rules = CENSOR_RULES[platform] || CENSOR_RULES.general;
const censorAdditions = rules.map(rule => `(${rule})`).join(", ");
return `${prompt}, ${censorAdditions}`;
}
export async function POST(request: NextRequest) {
try {
const body = await request.json();
const {
prompt,
optimizedPrompt,
platform = "general",
character,
style = "realistic",
size = "1024x1024",
saveToDb = true,
projectId
} = body;
const basePrompt: string | undefined = optimizedPrompt || prompt;
if (!basePrompt) {
return NextResponse.json(
{ success: false, error: "Se requiere un prompt" },
{ status: 400 }
);
}
let finalPrompt = applyCensorFilter(basePrompt, platform);
// Estilos
if (style && style !== "realistic") {
const styleAdditions: Record<string, string> = {
anime: "anime style, manga aesthetic, vibrant colors, cel shading",
realistic: "photorealistic, highly detailed, 8K, professional photography",
artistic: "digital art, artistic style, creative interpretation, masterpiece",
"oil-painting": "oil painting style, classical art, brush strokes, museum quality",
sketch: "pencil sketch, hand drawn, artistic lines, detailed shading",
"3d": "3D render, octane render, cinema 4D, volumetric lighting"
};
if (styleAdditions[style]) {
finalPrompt = `${finalPrompt}, ${styleAdditions[style]}`;
}
}
// Personaje
if (character) {
finalPrompt = `${finalPrompt}, character: ${character}`;
}
console.log(
"🖼️ Generando imagen:",
finalPrompt.substring(0, 100) + "..."
);
// ✅ Crear registro en BD
let contentRecord: Content | null = null;
if (saveToDb) {
contentRecord = await db.content.create({
data: {
type: "image",
title: basePrompt.substring(0, 50),
description: basePrompt,
prompt: basePrompt,
optimizedPrompt: finalPrompt,
platform,
status: "processing",
projectId: projectId || null
}
});
}
try {
const zai = await ZAI.create();
const response = await zai.images.generations.create({
prompt: finalPrompt,
size: size as
| "1024x1024"
| "768x1344"
| "864x1152"
| "1344x768"
| "1152x864"
| "1440x720"
| "720x1440"
});
const imageBase64 = (response as any)?.data?.[0]?.base64;
if (!imageBase64) {
throw new Error("No se recibió imagen del generador");
}
const filename = `image_${Date.now()}.png`;
const imageUrl = `/download/images/${filename}`;
// ✅ actualizar BD
if (contentRecord) {
await db.content.update({
where: { id: contentRecord.id },
data: {
status: "completed",
filePath: imageUrl,
thumbnail: imageUrl,
metadata: JSON.stringify({ base64: imageBase64 })
}
});
}
// ✅ tarea agente (no romper si falla)
try {
await db.agentTask.create({
data: {
type: "generate_image",
status: "completed",
input: basePrompt,
output: `Imagen generada: ${filename}`,
completedAt: new Date()
}
});
} catch (e) {
console.warn("agentTask warning:", e);
}
return NextResponse.json({
success: true,
image: {
id: contentRecord?.id ?? null,
filename,
url: imageUrl,
base64: imageBase64,
prompt: finalPrompt,
platform,
size
}
});
} catch (genError) {
console.error("Error generando imagen:", genError);
if (contentRecord) {
await db.content.update({
where: { id: contentRecord.id },
data: {
status: "failed",
metadata: JSON.stringify({ error: String(genError) })
}
});
}
return NextResponse.json(
{ success: false, error: "Error al generar imagen: " + String(genError) },
{ status: 500 }
);
}
} catch (error) {
console.error("Error en generate image:", error);
return NextResponse.json(
{ success: false, error: "Error interno del servidor" },
{ status: 500 }
);
}
}
// ✅ LISTAR IMÁGENES
export async function GET(request: NextRequest) {
try {
const { searchParams } = new URL(request.url);
const platform = searchParams.get("platform");
const limit = parseInt(searchParams.get("limit") || "20");
const where: Record<string, unknown> = { type: "image" };
if (platform) where.platform = platform;
const images = await db.content.findMany({
where,
orderBy: { createdAt: "desc" },
take: limit
});
return NextResponse.json({
success: true,
images,
total: images.length
});
} catch (error) {
console.error("Error listing images:", error);
return NextResponse.json(
{ success: false, error: "Error al listar imágenes" },
{ status: 500 }
);
}
}