Initial 智念AIGC platform

This commit is contained in:
inman
2026-05-29 10:26:02 +08:00
commit f9c3393f84
86 changed files with 14741 additions and 0 deletions

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import { mkdtemp, rm } from "node:fs/promises";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { afterEach, beforeEach, describe, expect, it } from "vitest";
import {
createGenerationJob,
listGenerationJobs,
updateGenerationJob
} from "@/lib/server/data-store";
import { DEFAULT_OWNER_ID } from "@/lib/server/runtime";
let runtimeDir = "";
let previousRuntimeDir: string | undefined;
let previousSupabaseUrl: string | undefined;
let previousSupabaseKey: string | undefined;
describe("local data store concurrency", () => {
beforeEach(async () => {
runtimeDir = await mkdtemp(join(tmpdir(), "zhinian-store-"));
previousRuntimeDir = process.env.NIANXXPLAY_RUNTIME_DIR;
previousSupabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL;
previousSupabaseKey = process.env.SUPABASE_SERVICE_ROLE_KEY;
process.env.NIANXXPLAY_RUNTIME_DIR = runtimeDir;
delete process.env.NEXT_PUBLIC_SUPABASE_URL;
delete process.env.SUPABASE_SERVICE_ROLE_KEY;
});
afterEach(async () => {
restoreEnv("NIANXXPLAY_RUNTIME_DIR", previousRuntimeDir);
restoreEnv("NEXT_PUBLIC_SUPABASE_URL", previousSupabaseUrl);
restoreEnv("SUPABASE_SERVICE_ROLE_KEY", previousSupabaseKey);
await rm(runtimeDir, { force: true, recursive: true });
});
it("serializes concurrent job writes without losing records", async () => {
const created = await Promise.all(Array.from({ length: 8 }, (_, index) => createGenerationJob({
ownerId: DEFAULT_OWNER_ID,
capability: "image.generate",
provider: "mock",
reqKey: "jimeng_seedream46_cvtob",
status: "queued",
prompt: `job ${index}`,
inputAssetIds: [],
inputUrls: [],
outputAssetIds: [],
requestPayload: { index }
})));
await Promise.all(created.map((job, index) => updateGenerationJob(job.id, {
status: "succeeded",
outputAssetIds: [`asset-${index}`]
})));
const stored = await listGenerationJobs(DEFAULT_OWNER_ID, 20);
const storedById = new Map(stored.map((job) => [job.id, job]));
for (const job of created) {
expect(storedById.get(job.id)?.status).toBe("succeeded");
}
});
});
function restoreEnv(name: string, value: string | undefined) {
if (value === undefined) {
delete process.env[name];
return;
}
process.env[name] = value;
}

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import { describe, expect, it } from "vitest";
import {
buildEvolinkImagePayload,
extractEvolinkResultUrls,
getEvolinkTaskId,
mapEvolinkStatus
} from "@/lib/evolink/image-client";
describe("EvoLink image client helpers", () => {
it("builds payloads for GPT Image 2 generation", () => {
const payload = buildEvolinkImagePayload("image.generate", {
prompt: "商品海报",
imageUrls: ["https://example.com/ref.png"],
width: 2048,
height: 2048
}, {
baseUrl: "https://api.evolink.ai",
model: "gpt-image-2",
quality: "medium",
resolution: "2K"
});
expect(payload).toMatchObject({
model: "gpt-image-2",
prompt: "商品海报",
image_urls: ["https://example.com/ref.png"],
size: "1:1",
quality: "medium",
resolution: "2K",
n: 1
});
});
it("maps inpainting original and mask URLs", () => {
const payload = buildEvolinkImagePayload("image.inpaint", {
prompt: "移除背景杂物",
imageUrls: ["https://example.com/original.png", "https://example.com/mask.png"]
}, {
baseUrl: "https://api.evolink.ai",
model: "gpt-image-2"
});
expect(payload).toMatchObject({
image_urls: ["https://example.com/original.png"],
mask_url: "https://example.com/mask.png"
});
});
it("normalizes task ids, statuses, and result URLs", () => {
const response = {
data: {
task_id: "task-1",
status: "completed",
results: [
"https://example.com/a.png",
{ image_url: "https://example.com/b.png" }
]
}
};
expect(getEvolinkTaskId(response)).toBe("task-1");
expect(mapEvolinkStatus(response)).toBe("succeeded");
expect(extractEvolinkResultUrls(response)).toEqual([
"https://example.com/a.png",
"https://example.com/b.png"
]);
});
});

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import { describe, expect, it } from "vitest";
import {
buildJimengPayload,
buildJimengQueryPayload,
getJimengCapabilities,
getVisibleImageCapabilities
} from "@/lib/jimeng/capabilities";
describe("Jimeng capability matrix", () => {
it("only exposes the three supported image capabilities", () => {
const capabilities = getJimengCapabilities();
expect(Object.keys(capabilities)).toEqual([
"image.generate",
"image.inpaint",
"image.upscale"
]);
expect(getVisibleImageCapabilities().map((capability) => capability.id)).toEqual([
"image.generate",
"image.inpaint",
"image.upscale"
]);
});
it("builds payloads for image generation 4.6", () => {
const payload = buildJimengPayload("image.generate", "jimeng_seedream46_cvtob", {
prompt: "商品海报",
imageUrls: ["https://example.com/ref.png"],
width: 2048,
height: 2048,
force_single: true,
scale: 50
});
expect(payload).toMatchObject({
req_key: "jimeng_seedream46_cvtob",
prompt: "商品海报",
image_urls: ["https://example.com/ref.png"],
width: 2048,
height: 2048,
force_single: true,
scale: 50
});
});
it("requires original and mask URLs for inpainting", () => {
expect(() =>
buildJimengPayload("image.inpaint", "jimeng_image2image_dream_inpaint", {
imageUrls: ["https://example.com/original.png"]
})
).toThrow(/exactly two/);
});
it("uses return_url query payload for polling", () => {
const payload = buildJimengQueryPayload("jimeng_i2i_seed3_tilesr_cvtob", "task-1");
expect(payload.req_key).toBe("jimeng_i2i_seed3_tilesr_cvtob");
expect(payload.task_id).toBe("task-1");
expect(String(payload.req_json)).toContain('"return_url":true');
});
});

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import { describe, expect, it } from "vitest";
import { assemblePrompt, extractMaterialRequirements } from "@/lib/prompt/assembler";
describe("prompt assembler", () => {
it("preserves storyboard cards and @material references for video", () => {
const result = assemblePrompt({
mode: "video",
projectName: "咖啡门店",
audience: "周边上班族",
offer: "新品拿铁",
storyboard: [
{ id: "s1", title: "开场", visual: "门店外立面,参考@图片1", camera: "推进" },
{ id: "s2", title: "新品", visual: "新品拿铁特写,参考@图片2", caption: "今日新品" }
],
materials: [
{ type: "image", url: "https://example.com/a.png", label: "@图片1" },
{ type: "image", url: "https://example.com/b.png", label: "@图片2" }
]
});
expect(result.prompt).toContain("咖啡门店");
expect(result.prompt).toContain("@图片1");
expect(result.prompt).toContain("@图片2");
expect(result.prompt).toContain("镜头=推进");
expect(result.warnings).toEqual([]);
});
it("warns when prompt references unbound materials", () => {
const result = assemblePrompt({
mode: "image",
projectName: "品牌海报",
manualPrompt: "使用@图片2生成主视觉",
materials: [{ type: "image", url: "https://example.com/a.png", label: "@图片1" }]
});
expect(result.warnings[0]).toContain("@图片2");
});
it("extracts image, video, and audio requirements", () => {
expect(extractMaterialRequirements("参考@图片3、@视频2和@音频1")).toEqual({
image: 3,
video: 2,
audio: 1
});
});
});

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import { describe, expect, it } from "vitest";
import {
VIDEO_DURATION_AUTO,
VIDEO_DURATION_DEFAULT,
VIDEO_DURATION_MAX,
VIDEO_DURATION_MIN,
clampVideoDuration,
normalizeVideoDuration,
normalizeVideoRatio,
normalizeVideoResolution
} from "@/lib/video-settings";
describe("video settings", () => {
it("clamps duration to the supported range", () => {
expect(clampVideoDuration(2)).toBe(VIDEO_DURATION_MIN);
expect(clampVideoDuration(999)).toBe(VIDEO_DURATION_MAX);
expect(clampVideoDuration(12.6)).toBe(13);
});
it("supports Seedance auto duration only when allowed", () => {
expect(normalizeVideoDuration(VIDEO_DURATION_AUTO)).toBe(VIDEO_DURATION_AUTO);
expect(clampVideoDuration(VIDEO_DURATION_AUTO, VIDEO_DURATION_DEFAULT, { allowAuto: false })).toBe(VIDEO_DURATION_MIN);
});
it("keeps empty duration optional and falls back for invalid values", () => {
expect(normalizeVideoDuration(undefined)).toBeUndefined();
expect(normalizeVideoDuration("")).toBeUndefined();
expect(clampVideoDuration("not-a-number")).toBe(VIDEO_DURATION_DEFAULT);
});
it("normalizes ratio and resolution to Seedance 2.0 supported values", () => {
expect(normalizeVideoRatio("21:9")).toBe("21:9");
expect(normalizeVideoRatio("bad-ratio")).toBe("9:16");
expect(normalizeVideoResolution("1080p", "doubao-seedance-2-0-260128")).toBe("1080p");
expect(normalizeVideoResolution("1080p", "doubao-seedance-2-0-fast-260128")).toBe("720p");
});
});

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import { describe, expect, it } from "vitest";
import { sha256Hex, signVolcengineRequest } from "@/lib/volcengine/signature";
describe("Volcengine Visual signing", () => {
it("creates canonical request and signed headers", () => {
const signed = signVolcengineRequest({
method: "POST",
endpoint: "https://visual.volcengineapi.com",
query: {
Version: "2022-08-31",
Action: "CVSync2AsyncSubmitTask"
},
body: JSON.stringify({ req_key: "jimeng_seedream46_cvtob", prompt: "test" }),
accessKeyId: "ak",
secretAccessKey: "sk",
region: "cn-north-1",
service: "cv",
date: new Date("2026-05-28T00:00:00Z")
});
expect(signed.url).toBe("https://visual.volcengineapi.com/?Action=CVSync2AsyncSubmitTask&Version=2022-08-31");
expect(signed.headers.Authorization).toContain("HMAC-SHA256 Credential=ak/20260528/cn-north-1/cv/request");
expect(signed.headers["X-Content-Sha256"]).toBe(sha256Hex(JSON.stringify({ req_key: "jimeng_seedream46_cvtob", prompt: "test" })));
expect(signed.canonicalRequest).toContain("content-type;host;x-content-sha256;x-date");
});
});