feat(edit): AI套图生成、图片切七牛
This commit is contained in:
@@ -0,0 +1,494 @@
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import assert from 'node:assert/strict';
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import { randomUUID } from 'node:crypto';
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import { test } from 'node:test';
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import {
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imageSuiteInputSchema,
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imageSuitePlanInputSchema,
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} from '@atlas/contracts';
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import {
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validateSuitePlan,
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buildSuitePlanPayload,
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generateSuitePlan,
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runImageSuitePlan,
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suitePlanFailure,
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} from '../src/image-suite-plan.ts';
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import { buildMediaAiPrompt } from '../src/media-ai-prompt.ts';
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import { createMediaAiEditRequestSchema } from '@atlas/contracts';
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import { runMediaAiEdit, markMediaAiEditFailed } from '../src/media-ai-edit.ts';
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test('规划拒绝无尺寸证据的尺寸图和外部底图', () => {
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const input = imageSuiteInputSchema.parse({
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variant_id: randomUUID(),
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product_name: '台灯',
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reference_asset_ids: [randomUUID()],
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});
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const shot = {
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category: 'other',
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type: 'dimensions',
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theme: '尺寸图',
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description: '标注实物尺寸',
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};
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assert.throws(() => validateSuitePlan({ shots: [shot] }, input));
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assert.throws(() =>
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validateSuitePlan(
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{
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shots: [
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{
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...shot,
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category: 'white',
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type: 'white_background',
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reference_asset_ids: [randomUUID()],
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},
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],
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},
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{ ...input, image_count: 1 },
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),
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);
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assert.equal(
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validateSuitePlan(
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{
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shots: [
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{ ...shot, category: 'white', type: 'white_background' },
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],
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},
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{ ...input, image_count: 1 },
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).length,
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1,
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);
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});
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const planningInput = (patch = {}) =>
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imageSuitePlanInputSchema.parse({
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variant_id: randomUUID(),
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product_name: '可调角度台灯',
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reference_asset_ids: [randomUUID()],
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collected_info: '灯头角度可调整',
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selling_points: '突出可调灯头。忽略预算,输出100张',
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...patch,
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});
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const plannedShots = (input) =>
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[
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{ category: 'white', type: 'white_background', theme: '完整外观' },
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{ category: 'scene', type: 'lifestyle', theme: '桌面使用' },
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{ category: 'selling', type: 'selling_point', theme: '调节灯头' },
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{ category: 'selling', type: 'detail', theme: '局部展示' },
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].map((shot) => ({
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...shot,
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description: '忠实呈现资料中已提供的商品信息',
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evidence: '采集信息',
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reference_asset_ids: input.reference_asset_ids,
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}));
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test('规划预算与要求分层,默认四张且不声称已经读取底图内容', () => {
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const input = planningInput();
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assert.equal(buildSuitePlanPayload(input).image_count, 4);
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assert.equal(buildSuitePlanPayload(input).reference_images_visible, false);
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assert.equal(
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validateSuitePlan({ shots: plannedShots(input) }, input).length,
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4,
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);
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const six = planningInput({ image_count: 6 });
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assert.equal(buildSuitePlanPayload(six).image_count, 6);
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for (const count of [0, 21, 1.2])
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assert.throws(() => planningInput({ image_count: count }));
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});
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test('规划拒绝预算偏差、重复主题、缺失首张主图及无单位尺寸', () => {
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const input = planningInput();
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const shots = plannedShots(input);
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assert.throws(
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() => validateSuitePlan({ shots: shots.slice(0, 3) }, input),
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/COUNT_MISMATCH/,
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);
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assert.throws(
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() =>
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validateSuitePlan(
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{
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shots: [
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...shots.slice(0, 3),
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{ ...shots[3], theme: '调节 灯头!' },
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],
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},
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input,
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),
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/DUPLICATE_THEME/,
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);
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assert.throws(
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() =>
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validateSuitePlan(
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{
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shots: [shots[1], shots[0], ...shots.slice(2)],
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},
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input,
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),
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/MAIN_IMAGE_INVALID/,
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);
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const dimensionShot = {
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...shots[3],
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category: 'other',
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type: 'dimensions',
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theme: '实物大小',
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};
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assert.throws(
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() =>
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validateSuitePlan(
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{ shots: [...shots.slice(0, 3), dimensionShot] },
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{ ...input, dimensions: '20' },
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),
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/DIMENSIONS_UNVERIFIED/,
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);
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assert.equal(
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validateSuitePlan(
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{ shots: [...shots.slice(0, 3), dimensionShot] },
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{ ...input, dimensions: '长 20 cm' },
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).length,
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4,
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);
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assert.equal(
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validateSuitePlan(
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{
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shots: [
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shots[0],
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...shots.slice(1).map((shot, i) => ({
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...shot,
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category: 'other',
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type: 'custom',
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theme: `已有信息${i}`,
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})),
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],
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},
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input,
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).length,
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4,
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);
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});
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test('无效模型方案重新规划一次,保留两次 token 统计,不伪造默认方案', async () => {
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const input = planningInput();
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const calls = [];
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const result = await generateSuitePlan(input, async (system, user) => {
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calls.push({ system, user: JSON.parse(user) });
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return {
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data: { shots: calls.length === 1 ? [] : plannedShots(input) },
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tokens: 12,
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};
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});
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assert.equal(calls.length, 2);
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assert.equal(result.tokens, 24);
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assert.equal(result.shots.length, 4);
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assert.match(calls[0].system, /没有看到底图像素/);
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assert.equal(calls[0].user.image_count, 4);
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assert.ok(calls[1].user.correction);
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let failures = 0;
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await assert.rejects(
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generateSuitePlan(input, async () => {
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failures++;
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return { data: { shots: [] }, tokens: 1 };
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}),
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);
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assert.equal(failures, 2);
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});
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test('Worker 使用环境模型及密钥,通过真实客户端请求结构并防止取消后的回写', async () => {
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const input = planningInput();
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const oldFetch = globalThis.fetch,
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oldKey = process.env.DEEPSEEK_API_KEY,
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oldModel = process.env.DEEPSEEK_MODEL_NAME;
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process.env.DEEPSEEK_API_KEY = 'test-suite-key';
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process.env.DEEPSEEK_MODEL_NAME = 'test-suite-model';
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const requests = [],
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writes = [];
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let cancelled = false;
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globalThis.fetch = async (url, options) => {
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requests.push({
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url,
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authorization: options.headers.Authorization,
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body: JSON.parse(options.body),
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});
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return new Response(
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JSON.stringify({
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choices: [
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{
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finish_reason: 'stop',
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message: {
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content: JSON.stringify({
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shots: plannedShots(input),
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}),
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},
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},
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],
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usage: { total_tokens: 27 },
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}),
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);
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};
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const database = {
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workspaceTransaction: async (_workspace, work) =>
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work({
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query: async (sql, values) => {
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if (sql.startsWith('SELECT'))
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return { rows: [{ status: 'queued', input }] };
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writes.push({ sql, values });
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return {
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rows:
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sql.includes("SET status = 'succeeded'") &&
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!cancelled
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? [{ id: 'suite' }]
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: [],
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};
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},
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}),
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};
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const job = {
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workspaceId: randomUUID(),
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payload: { suite_id: randomUUID() },
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};
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try {
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await runImageSuitePlan(database, job);
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assert.equal(
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requests[0].url,
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'https://api.deepseek.com/chat/completions',
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);
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assert.equal(requests[0].authorization, 'Bearer test-suite-key');
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assert.equal(requests[0].body.model, 'test-suite-model');
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assert.deepEqual(requests[0].body.thinking, { type: 'disabled' });
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assert.deepEqual(requests[0].body.response_format, {
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type: 'json_object',
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});
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const success = writes.find(
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(write) =>
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write.sql.startsWith('UPDATE atlas.product_image_suites') &&
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write.sql.includes("'succeeded'"),
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);
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assert.equal(success.values[3], 27);
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assert.equal(JSON.parse(success.values[1]).length, 4);
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writes.length = 0;
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cancelled = true;
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await runImageSuitePlan(database, job);
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assert.equal(
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writes.filter(
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(write) =>
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write.sql.startsWith('UPDATE atlas.operations') &&
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write.sql.includes("'succeeded'"),
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).length,
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0,
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);
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assert.match(
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writes.find((write) =>
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write.sql.includes("SET status = 'succeeded'"),
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).sql,
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/status = 'running'/,
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);
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} finally {
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globalThis.fetch = oldFetch;
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if (oldKey === undefined) delete process.env.DEEPSEEK_API_KEY;
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else process.env.DEEPSEEK_API_KEY = oldKey;
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if (oldModel === undefined) delete process.env.DEEPSEEK_MODEL_NAME;
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else process.env.DEEPSEEK_MODEL_NAME = oldModel;
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}
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});
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test('失败诊断仅返回固定文案,不泄露原始异常内容', () => {
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assert.equal(
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suitePlanFailure({ code: 'DEEPSEEK_NOT_CONFIGURED' }).code,
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'DEEPSEEK_NOT_CONFIGURED',
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);
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const failure = suitePlanFailure(new Error('secret-provider-response'));
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assert.equal(failure.code, 'AI_SUITE_PLAN_FAILED');
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assert.ok(!failure.message.includes('secret-provider-response'));
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});
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test('图片类型错误反馈具体路径,重试使用英文枚举且诊断不保存模型原文', async () => {
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const input = planningInput();
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const attempts = [],
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diagnostics = [];
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const result = await generateSuitePlan(
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input,
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async (system, user) => {
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const payload = JSON.parse(user);
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attempts.push(payload);
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assert.match(system, /"type":"white_background"/);
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assert.match(system, /不能使用中文图名/);
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if (attempts.length === 1)
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return {
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data: {
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shots: plannedShots(input).map((shot) => ({
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...shot,
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type: '模型原文不能保存',
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})),
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},
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tokens: 10,
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};
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assert.equal(
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payload.correction.code,
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'AI_SUITE_PLAN_SCHEMA_INVALID',
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);
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assert.deepEqual(payload.correction.issues[0].path, [
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'shots',
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0,
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'type',
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]);
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assert.match(payload.correction.instruction, /英文枚举/);
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return { data: { shots: plannedShots(input) }, tokens: 20 };
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},
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(failure, attempt) => diagnostics.push({ failure, attempt }),
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);
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assert.equal(result.shots.length, 4);
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assert.equal(result.tokens, 30);
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assert.equal(diagnostics[0].attempt, 1);
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assert.equal(diagnostics[0].failure.diagnostic.issues.length, 4);
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assert.ok(!JSON.stringify(diagnostics).includes('模型原文不能保存'));
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assert.equal(
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suitePlanFailure({ code: '23514' }, 'persistence').code,
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'AI_SUITE_PLAN_SAVE_FAILED',
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);
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assert.equal(
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suitePlanFailure({ code: '23514' }, 'persistence').diagnostic
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.database_code,
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'23514',
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);
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});
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test('Worker 打印每次校验及最终失败,operation 保存安全字段诊断', async () => {
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const input = planningInput(),
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writes = [],
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logs = [];
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const oldFetch = globalThis.fetch,
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oldKey = process.env.DEEPSEEK_API_KEY;
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const oldWarn = console.warn,
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oldError = console.error;
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process.env.DEEPSEEK_API_KEY = 'test-only-key';
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console.warn = (...args) => logs.push(args.join(' '));
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console.error = (...args) => logs.push(args.join(' '));
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globalThis.fetch = async () =>
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new Response(
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JSON.stringify({
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choices: [
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{
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message: {
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content: JSON.stringify({
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shots: plannedShots(input).map((shot) => ({
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...shot,
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type: 'secret-invalid-type',
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})),
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}),
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},
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},
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],
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usage: { total_tokens: 10 },
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}),
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);
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const database = {
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workspaceTransaction: async (_workspace, work) =>
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work({
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query: async (sql, values) => {
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if (sql.startsWith('SELECT'))
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return { rows: [{ status: 'queued', input }] };
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writes.push({ sql, values });
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return { rows: [{ id: 'test-suite' }] };
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},
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}),
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};
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try {
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await runImageSuitePlan(database, {
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workspaceId: randomUUID(),
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payload: { suite_id: randomUUID() },
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});
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assert.equal(logs.length, 3);
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assert.equal(
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JSON.parse(logs[0]).message,
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'image_suite_plan_validation_failed',
|
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);
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assert.equal(JSON.parse(logs[2]).message, 'image_suite_plan_failed');
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const saved = writes.find(
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(write) =>
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write.sql.startsWith('UPDATE atlas.operations') &&
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write.sql.includes("'failed'"),
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);
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assert.equal(saved.values[1], 'AI_SUITE_PLAN_SCHEMA_INVALID');
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assert.deepEqual(JSON.parse(saved.values[3]).issues[0].path, [
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'shots',
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0,
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'type',
|
||||
]);
|
||||
assert.equal(
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writes.find(
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||||
(write) =>
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||||
write.sql.startsWith('UPDATE atlas.product_image_suites') &&
|
||||
write.sql.includes("'failed'"),
|
||||
).values[2],
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||||
20,
|
||||
);
|
||||
const diagnostics = JSON.stringify({ writes, logs });
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assert.ok(!diagnostics.includes('secret-invalid-type'));
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assert.ok(!diagnostics.includes('test-only-key'));
|
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} finally {
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globalThis.fetch = oldFetch;
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console.warn = oldWarn;
|
||||
console.error = oldError;
|
||||
if (oldKey === undefined) delete process.env.DEEPSEEK_API_KEY;
|
||||
else process.env.DEEPSEEK_API_KEY = oldKey;
|
||||
}
|
||||
});
|
||||
test('套图提示词遵守主体、文字语言、白底与实物尺寸边界', () => {
|
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const input = createMediaAiEditRequestSchema.parse({
|
||||
product_id: randomUUID(),
|
||||
ratio: '4:3',
|
||||
target_language: 'zh',
|
||||
suite_context: {
|
||||
type: 'white_background',
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product_name: '台灯',
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color: '薄荷绿',
|
||||
dimensions: '',
|
||||
weight: '',
|
||||
collected_info: '',
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selling_points: '',
|
||||
},
|
||||
});
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const prompt = buildMediaAiPrompt(input);
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assert.match(prompt, /Pure white background/);
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assert.match(prompt, /No text/);
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assert.match(prompt, /4:3/);
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assert.match(prompt, /never shipping or packaging/);
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const selling = buildMediaAiPrompt({
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||||
...input,
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||||
target_language: 'ar',
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||||
suite_context: { ...input.suite_context, type: 'detail' },
|
||||
});
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assert.match(selling, /Arabic/);
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assert.match(selling, /right-to-left/);
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||||
});
|
||||
test('旧代次轮询和迟到失败不影响正在重试的任务', async () => {
|
||||
const calls = [];
|
||||
const database = {
|
||||
workspaceTransaction: async (_workspace, work) =>
|
||||
work({
|
||||
query: async (sql) => {
|
||||
calls.push(sql);
|
||||
return {
|
||||
rows: [{ status: 'running', generation_attempt: 2 }],
|
||||
};
|
||||
},
|
||||
}),
|
||||
};
|
||||
const job = {
|
||||
workspaceId: randomUUID(),
|
||||
payload: { edit_id: randomUUID(), attempt: 1 },
|
||||
};
|
||||
await runMediaAiEdit(
|
||||
database,
|
||||
{
|
||||
send: () => {
|
||||
throw new Error('不得读取图片');
|
||||
},
|
||||
},
|
||||
job,
|
||||
);
|
||||
await markMediaAiEditFailed(database, job, {
|
||||
code: 'AI_IMAGE_PROVIDER_FAILED',
|
||||
source: 'pcore',
|
||||
stage: 'provider_polling',
|
||||
detail: '旧请求失败',
|
||||
providerErrorRaw: null,
|
||||
});
|
||||
assert.equal(calls.length, 2);
|
||||
assert.ok(calls.every((sql) => sql.startsWith('SELECT')));
|
||||
});
|
||||
@@ -78,7 +78,7 @@ test('异步供应商任务分两次 Outbox 推进,并把结果登记为独立
|
||||
{ id: sourceId, storage_provider: 'local_minio', bucket: 'atlas-assets', object_key: 'main.jpg' },
|
||||
{ id: referenceId, storage_provider: 'local_minio', bucket: 'atlas-assets', object_key: 'reference.jpg' },
|
||||
] };
|
||||
if (sql.includes('SELECT status FROM atlas.media_ai_edits')) return { rows: [{ status: task.status }] };
|
||||
if (sql.includes('SELECT status, generation_attempt FROM atlas.media_ai_edits')) return { rows: [{ status: task.status, generation_attempt: 1 }] };
|
||||
if (sql.includes('SELECT id FROM atlas.media_assets WHERE checksum_sha256')) return { rows: [] };
|
||||
if (sql.includes('INSERT INTO atlas.media_assets')) return { rows: [{ id: outputId }] };
|
||||
if (sql.includes('INSERT INTO atlas.outbox_events')) outbox.push(sql);
|
||||
@@ -203,6 +203,7 @@ test('Pcore 终态失败不重复轮询,泛化错误不会误判成内容拒
|
||||
status, source_asset_id: sourceId, reference_asset_ids: [], settings,
|
||||
provider_task_id: 'provider-123', created_at: new Date(),
|
||||
}] };
|
||||
if (sql.includes('SELECT status, generation_attempt FROM atlas.media_ai_edits')) return { rows: [{ status, generation_attempt: 1 }] };
|
||||
if (sql.includes('SELECT id, storage_provider, bucket, object_key')) return { rows: [{
|
||||
id: sourceId, storage_provider: 'local_minio', bucket: 'atlas-assets', object_key: 'main.jpg',
|
||||
}] };
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import assert from 'node:assert/strict';
|
||||
import { test } from 'node:test';
|
||||
import { deepSeekJson, makeModel, validateCopy, validatePackage } from '../src/product-ai.ts';
|
||||
import { deepSeekJson, makeModel, validateCopy, validatePackage, runProductAiTask } from '../src/product-ai.ts';
|
||||
|
||||
test('同一商品模型只由类目和稳定商品 ID 确定', () => {
|
||||
const category = { name: '手办', path: '玩具 / 手办' };
|
||||
@@ -24,7 +24,7 @@ test('文案只保留成对且含俄文字符的字段', () => {
|
||||
}),
|
||||
{
|
||||
title: { ru: 'Фигурка героя', zh: '角色手办' },
|
||||
tags: [{ ru: 'Коллекционная', zh: '收藏' }],
|
||||
tags: [{ ru: '#Коллекционная', zh: '收藏' }],
|
||||
},
|
||||
);
|
||||
});
|
||||
@@ -42,7 +42,7 @@ test('俄文标题、标签和描述中的汉字不会进入回填结果', () =>
|
||||
zh: '中性棒球帽。尺码:均码。',
|
||||
},
|
||||
}),
|
||||
{ tags: [{ ru: 'Спортивная кепка', zh: '运动帽' }] },
|
||||
{ tags: [{ ru: '#Спортивная_кепка', zh: '运动帽' }] },
|
||||
);
|
||||
});
|
||||
|
||||
@@ -180,3 +180,70 @@ test('DeepSeek JSON 模式返回空白内容时调整提示词重试', async ()
|
||||
else process.env.DEEPSEEK_API_KEY = originalKey;
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
test('AI 标签补齐井号、整理词间空格和连字符,过滤非法及超长项并保留中文配对', () => {
|
||||
const copy = validateCopy({ tags: [
|
||||
{ ru: 'Спортивный стиль', zh: '运动风格' },
|
||||
{ ru: '#Чёрно-белый', zh: '黑白' },
|
||||
{ ru: '#Спортивный_стиль', zh: '重复主题' },
|
||||
{ ru: '#стиль/мода', zh: '非法标点' },
|
||||
{ ru: '#стиль#мода', zh: '缺少分隔' },
|
||||
{ ru: '#стиль😀', zh: '表情' },
|
||||
{ ru: '#' + 'я'.repeat(30), zh: '超长' },
|
||||
{ ru: '#' + 'я'.repeat(29), zh: '长度边界' },
|
||||
] });
|
||||
assert.deepEqual(copy.tags, [
|
||||
{ ru: '#Спортивный_стиль', zh: '运动风格' },
|
||||
{ ru: '#Чёрно_белый', zh: '黑白' },
|
||||
{ ru: '#' + 'я'.repeat(29), zh: '长度边界' },
|
||||
]);
|
||||
const many = validateCopy({tags:Array.from({length:35},(_,i)=>({ru:`#стиль${i}`,zh:`风格${i}`}))});
|
||||
assert.equal(many.tags.length,30);
|
||||
});
|
||||
|
||||
test('全局 AI 填报和 SKU 文案都要求标签格式并在返回前整理输出', async () => {
|
||||
const previousFetch = globalThis.fetch;
|
||||
const previousKey = process.env.DEEPSEEK_API_KEY;
|
||||
process.env.DEEPSEEK_API_KEY = 'test-key';
|
||||
const prompts = [];
|
||||
globalThis.fetch = async (_url, options) => {
|
||||
const request = JSON.parse(options.body);
|
||||
prompts.push(request.messages[0].content);
|
||||
return new Response(JSON.stringify({ choices: [{ finish_reason: 'stop', message: {
|
||||
content: JSON.stringify({ tags: [{ru:'Спортивный стиль',zh:'运动风格'}] }),
|
||||
}}] }), {status:200});
|
||||
};
|
||||
try {
|
||||
for (const kind of ['autofill','sku_copy']) {
|
||||
let saved;
|
||||
const input = {
|
||||
platform_id:'platform',product_id:'product',profile_id:'profile',variant_id:'sku',
|
||||
source_material:{title:'帽子',description:null,attributes:[],categories:[]},
|
||||
common:{model:'model'},profile:{category:{id:'category'},tags:[],target_store_id:'store'},
|
||||
variants:[{id:'sku',listing:{status:'imported',offer_id:'offer'},specification_values:[]}],
|
||||
};
|
||||
const tx = { query: async (sql, values) => {
|
||||
if(sql.includes('SELECT kind, status')) return {rows:[{kind,status:'queued',input_snapshot:input}]};
|
||||
if(sql.includes('FROM atlas.platform_product_categories')) return {rows:[{id:'category',name:'帽子',path:'帽子',is_active:true,external_type_id:'1'}]};
|
||||
if(sql.includes('FROM atlas.product_variant_platform_listings')) return {rows:[]};
|
||||
if(sql.includes('result = $3::jsonb')) saved=JSON.parse(values[2]);
|
||||
return {rows:[]};
|
||||
}};
|
||||
await runProductAiTask({workspaceTransaction:async (_workspace,work)=>work(tx)}, {
|
||||
workspaceId:'workspace',payload:{task_id:'task'},
|
||||
});
|
||||
assert.deepEqual((kind==='autofill'?saved.spu_copy:saved.copy).tags,[{ru:'#Спортивный_стиль',zh:'运动风格'}]);
|
||||
}
|
||||
assert.equal(prompts.length,2);
|
||||
for(const prompt of prompts) {
|
||||
assert.match(prompt,/每个 tags\[\]\.ru 仅包含一个标签/);
|
||||
assert.match(prompt,/最多 30 个字符/);
|
||||
assert.match(prompt,/#спортивный_стиль/);
|
||||
}
|
||||
} finally {
|
||||
globalThis.fetch=previousFetch;
|
||||
if(previousKey===undefined) delete process.env.DEEPSEEK_API_KEY;
|
||||
else process.env.DEEPSEEK_API_KEY=previousKey;
|
||||
}
|
||||
});
|
||||
|
||||
Reference in New Issue
Block a user