补核24项AI不明候选并区分同名主体与流失收入
This commit is contained in:
@@ -182,10 +182,10 @@ async function main() {
|
||||
assert.equal(researchResponse.status, 200, "authenticated research API");
|
||||
assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
|
||||
const research = await researchResponse.json();
|
||||
assert.equal(research.companies.length, 1115);
|
||||
assert.equal(research.companies.length, 1128);
|
||||
assert.equal(research.categories.length, 11);
|
||||
assert.equal(research.evidence.length, 3047);
|
||||
assert.equal(research.observations.length, 413);
|
||||
assert.equal(research.evidence.length, 3127);
|
||||
assert.equal(research.observations.length, 426);
|
||||
assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
|
||||
const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
|
||||
assert.equal(researchPage.status, 200);
|
||||
|
||||
@@ -23,9 +23,9 @@ test("research revisions share the authentication database and preserve replay l
|
||||
for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
|
||||
assert.equal(consumeCode(config, "invalid"), "limited");
|
||||
const initial = readResearchSnapshot();
|
||||
assert.equal(initial.companies.length, 1115);
|
||||
assert.equal(initial.evidence.length, 3047);
|
||||
assert.equal(initial.observations.length, 413);
|
||||
assert.equal(initial.companies.length, 1128);
|
||||
assert.equal(initial.evidence.length, 3127);
|
||||
assert.equal(initial.observations.length, 426);
|
||||
assert.deepEqual(initial.candidateBatches, seed.candidateBatches, "candidate gaps persist in the same database metadata");
|
||||
assert.deepEqual(initial.directoryRechecks, seed.directoryRechecks, "follow-up classifications persist without rewriting the discovery audit");
|
||||
assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
|
||||
@@ -64,8 +64,8 @@ test("research validation rejects broken evidence and unsafe source links", () =
|
||||
|
||||
test("reviews link explicit companies without turning global or excluded cases into companies", () => {
|
||||
const snapshot = structuredClone(seed) as ResearchSnapshot;
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 186);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 17);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 190);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 18);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 44);
|
||||
const review = snapshot.reviews.find((r) => r.id === "R4")!;
|
||||
assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
|
||||
@@ -85,11 +85,11 @@ test("reviews link explicit companies without turning global or excluded cases i
|
||||
test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
|
||||
const snapshot = seed as ResearchSnapshot;
|
||||
const summary = categorySummary(snapshot);
|
||||
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1115);
|
||||
assert.equal(summary.reduce((n, c) => n + c.self, 0), 56);
|
||||
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1128);
|
||||
assert.equal(summary.reduce((n, c) => n + c.self, 0), 57);
|
||||
assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
|
||||
assert.equal(summary.reduce((n, c) => n + c.platform, 0), 19);
|
||||
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1038);
|
||||
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1050);
|
||||
assert.equal(snapshot.companies.find((c) => c.name === "Rork")?.revenueStatus, "unknown");
|
||||
assert.equal(snapshot.companies.find((c) => c.name === "Result")?.revenueStatus, "unknown");
|
||||
assert.ok(snapshot.observations.filter((o) => o.selection === "signal").every((o) => o.scope === "公司整体"));
|
||||
@@ -124,8 +124,8 @@ test("service run rates, legacy freight revenue and paid adoption do not become
|
||||
|
||||
test("technical reviews keep accessible materials separate from tested capabilities", () => {
|
||||
const snapshot = structuredClone(seed) as ResearchSnapshot;
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 104);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 21);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 115);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 22);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
|
||||
assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
|
||||
assert.match(snapshot.companies.find((c) => c.id === "AI051")!.technicalReview!.testScope!, /Sep 2026/);
|
||||
@@ -614,6 +614,49 @@ test("the fifth uncertain cohort separates dated ARR, service run rates, booking
|
||||
assert.ok(!platformIncomeSample(snapshot, { windowDays: null }).points.some((p) => p.observation.id.startsWith("UNCLEAR5-")));
|
||||
});
|
||||
|
||||
test("the sixth uncertain cohort preserves namesakes, churn and historical robotics MRR", () => {
|
||||
const snapshot = seed as ResearchSnapshot;
|
||||
const batch = snapshot.candidateBatches!.find((b) => b.id === "YC-AI-UNCLEAR-6")!;
|
||||
const original = coverageAudit.records.filter((r) => r.status === "ai-unclear").slice(120, 144);
|
||||
assert.equal(batch.complete, false);
|
||||
assert.deepEqual(batch.records.map((r) => r.url), original.map((r) => r.source));
|
||||
assert.equal(batch.records.filter((r) => r.status === "linked").length, 13);
|
||||
assert.equal(batch.records.filter((r) => r.status === "pending-ai").length, 11);
|
||||
const hera = snapshot.companies.find((c) => c.id === "YC32123")!;
|
||||
const videoHera = snapshot.companies.find((c) => c.id === "AI025")!;
|
||||
assert.equal(hera.cat, "C07");
|
||||
assert.equal(hera.year, 2026);
|
||||
assert.equal(videoHera.cat, "C08");
|
||||
assert.equal(videoHera.year, 2025);
|
||||
assert.notEqual(hera.url, videoHera.url, "same-name products with different YC pages must not be merged");
|
||||
for (const name of ["Aernata", "Maquoketa Research", "Fire Wallet", "Eden Robotics", "Edgerun"]) {
|
||||
const row = batch.records.find((r) => r.name === name)!;
|
||||
assert.equal(row.status, "pending-ai");
|
||||
assert.equal(row.companyId, undefined, "historical AI products, agent features and autonomous hardware need current-core evidence");
|
||||
}
|
||||
const figures = snapshot.observations.filter((o) => o.id.startsWith("UNCLEAR6-"));
|
||||
assert.equal(figures.length, 13);
|
||||
const churn = figures.find((o) => o.id.endsWith("ARDENT-CHURN"))!;
|
||||
assert.equal(churn.selection, "excluded");
|
||||
assert.equal(churn.metric, undefined, "lost ARR is not a positive current ARR observation");
|
||||
assert.equal(snapshot.companies.find((c) => c.id === "YC31475")!.revenueStatus, "unknown");
|
||||
const mrr = figures.find((o) => o.id.endsWith("AVEA-MRR"))!;
|
||||
assert.equal(mrr.value, 18000);
|
||||
assert.equal(mrr.metric, "mrr");
|
||||
assert.equal(mrr.selection, "historical");
|
||||
assert.match(mrr.unit, /无币种/);
|
||||
assert.match(snapshot.companies.find((c) => c.id === "YC31530")!.notes, /Acquired/);
|
||||
for (const suffix of ["PLAN0-PROJECTS-YC", "PLAN0-PROJECTS-LAUNCH", "SILMARIL-DAMAGE-YC", "SILMARIL-DAMAGE-CASE1", "SILMARIL-DAMAGE-CASE2", "EXPANSE-WASTE"]) {
|
||||
assert.equal(figures.find((o) => o.id.endsWith(suffix))!.selection, "excluded");
|
||||
}
|
||||
const openwork = snapshot.companies.find((c) => c.id === "YC31505")!;
|
||||
assert.equal(openwork.technicalReview!.level, "public-artifact");
|
||||
assert.ok(openwork.technicalReview!.evidenceIds.includes("UNCLEAR6-31505-EE-LICENSE"));
|
||||
assert.match(openwork.notes, /桌面MIT与ee目录/);
|
||||
assert.ok(figures.every((o) => o.comparisonGroup === null));
|
||||
assert.ok(!platformIncomeSample(snapshot, { windowDays: null }).points.some((p) => p.observation.id.startsWith("UNCLEAR6-")));
|
||||
});
|
||||
|
||||
test("Chinese discovery entries preserve unread articles and use separate primary evidence", () => {
|
||||
const snapshot = structuredClone(seed) as ResearchSnapshot;
|
||||
const batch = snapshot.candidateBatches!.find((b) => b.id === "JQ-2026-targeted-1")!;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"version": "2026-10-31-ai-unclear-5",
|
||||
"version": "2026-10-31-ai-unclear-6",
|
||||
"scopeConfirmedAt": "2026-10-30",
|
||||
"acceptance": "以确认的公开来源清单为边界，逐条核对并标明缺项。",
|
||||
"provenance": "S01—S12恢复自已提交用户的《AI公司研究_来源与分类模板》来源清单；S13—S16单列后续已使用的补充证据渠道，不将使用次数当作全量覆盖。",
|
||||
@@ -16,7 +16,7 @@
|
||||
"initialAccess": "官网目录可访问",
|
||||
"boundary": "已读取八个2025—2026批次镜像候选池1428条，再核YC官方页面；不声称覆盖全部YC历年或未公开公司。",
|
||||
"limitation": "批次不等于成立年；不代表全部公司",
|
||||
"nextCheck": "已统一企业141、行业252、模型标签26、开发标签51、其余标签34项，共504项新增主营复核。当前928条原YC新增记录保留发现来源，其中基础项871条均已做主营人工复核（871条），57条深化个案。C05规则89保留27/移62，C05标签52保留10/移42；C07规则184保留135/移49，C07标签68保留39/移29；模型标签26保留17/移9，开发标签51保留16/移35，其余标签34保留16/移18。主营复核仍含C00/短简介/混合交付缺项，不等完整产品/技术/财务审计。Tasklet及Native新产品与旧业务链保留，发现审计不改；Freya、Epicenter、Stellon许可及公开材料/厂商基准范围分开。客户收入、估价、资产、节省、管线/意向、预订需求、旧公司收入与示例排除自身ARR；Locke服务run-rate不等ARR，Mixy历史MRR/捐赠、Isengard无期间收入分开。各批证据、观测、核查与主体/收费/人工成本缺项均保留；全部确认来源清单的候选范围、AI不明/成立冲突及公司财务技术缺项继续核，不能声称全来源研究完成。 原AI不明192项已补核五批120项：64新增、6复用、50保留AI主营待核；另此前OpenSEO1项，合计121项已有后续记录，其余71项继续补核。原发现审计/928初始新增不回写。新增Trellis两时点ARR、InstaAgent旧ARR/当前服务run rate和Kinro转型前年收入，均未进同口径MRR；Andco旧Layup发布归创始人此前事业，Result按当前官网/同创始人条款暂归个人应用，AI业务/法律主体和内部基准限制保留。"
|
||||
"nextCheck": "已统一企业141、行业252、模型标签26、开发标签51、其余标签34项，共504项新增主营复核。当前928条原YC新增记录保留发现来源，其中基础项871条均已做主营人工复核（871条），57条深化个案。C05规则89保留27/移62，C05标签52保留10/移42；C07规则184保留135/移49，C07标签68保留39/移29；模型标签26保留17/移9，开发标签51保留16/移35，其余标签34保留16/移18。主营复核仍含C00/短简介/混合交付缺项，不等完整产品/技术/财务审计。Tasklet及Native新产品与旧业务链保留，发现审计不改；Freya、Epicenter、Stellon许可及公开材料/厂商基准范围分开。客户收入、估价、资产、节省、管线/意向、预订需求、旧公司收入与示例排除自身ARR；Locke服务run-rate不等ARR，Mixy历史MRR/捐赠、Isengard无期间收入分开。各批证据、观测、核查与主体/收费/人工成本缺项均保留；全部确认来源清单的候选范围、AI不明/成立冲突及公司财务技术缺项继续核，不能声称全来源研究完成。 原AI不明192项已补核六批144项：77新增、6复用、61保留AI主营待核；另此前OpenSEO1项，合计145项有后续记录，其余47项继续。原发现审计/928初始新增不回写。Avea历史18k MRR、Ardent旧ARR流失及工程总额/客户防损分别保存，不进同口径平台分布；制造HERA与视频Hera分开，Aernata化学/Maquoketa游戏当前AI任务和旧AI发布的关系继续待核，OpenWork桌面MIT与企业控制面许可分开。"
|
||||
},
|
||||
{
|
||||
"id": "S02",
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"sourceVersion": "2026-10-31-ai-unclear-5",
|
||||
"sourceVersion": "2026-10-31-ai-unclear-6",
|
||||
"asOf": "2026-10-31",
|
||||
"metric": "platform-mrr-usd",
|
||||
"sampleUnit": "product-or-business",
|
||||
|
||||
Reference in New Issue
Block a user