ai-chatbot/tests/routes/model-classification.test.ts

210 lines
6.0 KiB
TypeScript

import { expect, test } from "@playwright/test";
import {
createAtlasCloudImagePreset,
inferAtlasCloudMediaKind,
resolveAtlasCloudDisplayName,
} from "@/lib/ai/atlascloud-models";
import { createAtlasCloudRequestBody } from "@/lib/ai/atlascloud-request";
import {
is3DModelDescriptor,
isImageGenerationModelDescriptor,
isVideoModelDescriptor,
} from "@/lib/ai/model-classification";
const atlasHunyuan3D = {
model: "tencent/hunyuan3d-pro/text-to-3d",
type: "Image",
displayName: "Hunyuan 3D Pro Text-to-3D",
categories: ["TEXT-TO-3D"],
tags: ["TEXT-TO-3D", "NEW"],
};
test.describe("AI model media classification", () => {
test("preserves administrator-defined AtlasCloud display names", () => {
expect(
resolveAtlasCloudDisplayName(
"视觉 Flux Kontext Pro",
"Flux Kontext Pro",
"black-forest-labs/flux-kontext-pro"
)
).toBe("视觉 Flux Kontext Pro");
expect(
resolveAtlasCloudDisplayName(
"",
"Flux Kontext Pro",
"black-forest-labs/flux-kontext-pro"
)
).toBe("Flux Kontext Pro");
});
test("keeps multi-reference BananaImage models classified as image models", () => {
const descriptor = {
providerType: "bananaimage",
modelId: "gemini-3-pro-image-preview",
capabilities: {
supportedModes: [
"text-to-image",
"image-to-image",
"reference-images",
],
},
supportsImageGen: true,
};
expect(isVideoModelDescriptor(descriptor)).toBe(false);
expect(isImageGenerationModelDescriptor(descriptor)).toBe(true);
});
test("still recognizes explicit video generation modes", () => {
expect(
isVideoModelDescriptor({
providerType: "custom",
modelId: "custom-video-model",
capabilities: { supportedModes: ["text-to-video"] },
})
).toBe(true);
});
test("keeps Atlas 3D entries out of image and video categories", () => {
expect(inferAtlasCloudMediaKind(atlasHunyuan3D)).toBe("3d");
const descriptor = {
providerType: "atlascloud",
modelId: atlasHunyuan3D.model,
capabilities: {
kind: "3d",
mediaType: "3d",
supportedModes: ["text-to-3d"],
},
supportsImageGen: false,
};
expect(is3DModelDescriptor(descriptor)).toBe(true);
expect(isImageGenerationModelDescriptor(descriptor)).toBe(false);
expect(isVideoModelDescriptor(descriptor)).toBe(false);
});
test("writes 3D Atlas presets with model-level capabilities", () => {
const preset = createAtlasCloudImagePreset(
atlasHunyuan3D,
{
components: {
schemas: {
Input: {
type: "object",
properties: {
model: { type: "string" },
prompt: { type: "string" },
},
required: ["model", "prompt"],
},
},
},
},
0
);
expect(preset.supportsImageGen).toBe(false);
expect(preset.capabilities).toMatchObject({
kind: "3d",
mediaType: "3d",
supportedModes: ["text-to-3d"],
});
});
test("still distinguishes Atlas image and video descriptors", () => {
const imageDescriptor = {
providerType: "atlascloud",
modelId: "black-forest-labs/flux-2-pro/text-to-image",
capabilities: {
kind: "text-to-image",
mediaType: "image",
supportedModes: ["text-to-image"],
},
supportsImageGen: true,
};
const videoDescriptor = {
providerType: "atlascloud",
modelId: "veed/fabric-1.0/image-to-video",
capabilities: {
kind: "video",
mediaType: "video",
supportedModes: ["image-to-video"],
},
supportsImageGen: false,
};
expect(isImageGenerationModelDescriptor(imageDescriptor)).toBe(true);
expect(isVideoModelDescriptor(imageDescriptor)).toBe(false);
expect(isVideoModelDescriptor(videoDescriptor)).toBe(true);
expect(isImageGenerationModelDescriptor(videoDescriptor)).toBe(false);
});
test("maps Atlas reference-video image models to a valid frontend request", () => {
const preset = createAtlasCloudImagePreset(
{
model: "google/nano-banana-2/reference-to-image",
type: "Image",
displayName: "Nano Banana 2 Reference to Image",
categories: ["IMAGE-TO-IMAGE"],
},
{
paths: {
"/api/v1/model/generateImage": { post: {} },
"/api/v1/model/prediction/{request_id}": { get: {} },
},
components: {
schemas: {
Input: {
type: "object",
properties: {
model: { type: "string" },
prompt: { type: "string" },
resolution: { type: "string", enum: ["1k", "2k", "4k"] },
video_clips: {
type: "array",
minItems: 1,
maxItems: 1,
items: {
type: "object",
properties: {
url: { type: "string" },
start: { type: "number", default: 0 },
ends: { type: "number", default: 0 },
fps: { type: "number", default: 1 },
},
},
},
},
required: ["model", "prompt", "video_clips"],
},
},
},
}
);
expect(preset.capabilities).toMatchObject({
mediaType: "image",
supportsVideoReference: true,
requiresVideoReference: true,
maxVideoReferences: 1,
});
const { body } = createAtlasCloudRequestBody({
modelId: preset.modelId,
prompt: "参考视频生成商品图",
referenceImages: [],
referenceVideos: ["https://example.com/reference.mp4"],
imageParams: { imageSize: "2K", aspectRatio: "1:1" },
modelConfig: preset.imageGenConfig,
});
expect(body.video_clips).toEqual([
{
url: "https://example.com/reference.mp4",
start: 0,
ends: 0,
fps: 1,
},
]);
});
});