Verify AiMOGA founding and preserve interim revenue disclosure

This commit is contained in:
2026-10-30 20:50:58 +08:00
parent 4f1d3caafd
commit deadd24dce
7 changed files with 129 additions and 34 deletions
+3 -3
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@@ -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, 1028);
assert.equal(research.companies.length, 1029);
assert.equal(research.categories.length, 11);
assert.equal(research.evidence.length, 1392);
assert.equal(research.observations.length, 191);
assert.equal(research.evidence.length, 1394);
assert.equal(research.observations.length, 192);
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);
@@ -7,9 +7,9 @@ import {
const pageSize = 12;
const evidencePageSize = 30;
const revenueLabels = { self: "公司披露,待核口径", estimate: "仅第三方估算", platform: "仅支付平台记录", unknown: "暂无可用收入数字" };
const revenueLabels = { self: "企业披露,待核口径", estimate: "仅第三方估算", platform: "仅支付平台记录", unknown: "暂无可用收入数字" };
const useLabels: Record<string, string> = {
platform: "支付平台记录", signal: "公司披露信号", estimate: "第三方估算", historical: "历史里程碑",
platform: "支付平台记录", signal: "企业披露信号", estimate: "第三方估算", historical: "历史里程碑",
"historical-estimate": "其他时点估算", excluded: "排除收入比较", scale: "团队规模", adoption: "采用规模",
funding: "融资", technical: "第三方技术评测", crosscheck: "同一里程碑的其他资料",
};
@@ -138,7 +138,7 @@ export default function AICompanyResearch() {
<label>资料深度<select value={depth} onChange={(e) => { setDepth(e.target.value); setPage(0); }}><option value="">全部资料</option><option value="case">原有个案研究</option><option value="profile">目录基础资料</option></select></label>
<label>记录团队规模<select value={teamBand} onChange={(e) => { setTeamBand(e.target.value); setPage(0); }}><option value="">全部规模</option><option value="small">1—5 人</option><option value="medium">6—20 人</option><option value="large">21—50 人</option><option value="xl">至少 51 人</option><option value="unknown">未披露或分组不确定</option></select></label>
<label>技术验证证据<select value={technicalLevel} onChange={(e) => { setTechnicalLevel(e.target.value); setPage(0); }}><option value="">全部验证层级</option>{Object.entries(technicalReviewLabels).map(([value, label]) => <option key={value} value={value}>{label}</option>)}</select></label>
<label>收入资料<select value={income} onChange={(e) => { setIncome(e.target.value); setPage(0); }}><option value="">全部状态</option><option value="self">找到公司披露</option><option value="estimate">仅第三方估算</option><option value="platform">仅支付平台记录</option><option value="unknown">暂无可用数字</option></select></label>
<label>收入资料<select value={income} onChange={(e) => { setIncome(e.target.value); setPage(0); }}><option value="">全部状态</option><option value="self">找到企业披露</option><option value="estimate">仅第三方估算</option><option value="platform">仅支付平台记录</option><option value="unknown">暂无可用数字</option></select></label>
</div>
<p className="research-muted">技术验证层级记录我们查到了什么,不是能力强弱评分。技术专项评审与业务分类复核分别记录。</p>
<div className="research-result-count" role="status">{filtered.length} 条匹配记录<button onClick={() => { setCategory(""); setQuery(""); setCohort(""); setIncome(""); setDepth(""); setTeamBand(""); setTechnicalLevel(""); setPage(0); }}>清除筛选</button></div>
@@ -154,14 +154,14 @@ export default function AICompanyResearch() {
</>}
{tab === "revenue" && <>
<IncomeDistribution data={data} onSelect={setSelected} />
<h3>公司披露与估算的历史里程碑</h3>
<p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号,多为异时点历史里程碑,ARR 与年化收入口径仍待核对,暂不计算其同期领域均值。币种未确认的记录仅显示原值,不绘制美元长度条。上面的平台MRR统计与这一组分开。</p>
<h3>企业披露与估算的历史里程碑</h3>
<p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号;企业披露含公司或交易当事方公开材料,披露主体与审计状态见证据。多为异时点历史里程碑,期间收入不直接年化,ARR 与年化收入口径仍待核对,暂不计算其同期领域均值。币种未确认的记录仅显示原值,不绘制美元长度条。上面的平台MRR统计与这一组分开。</p>
<div className="research-revenue-chart" aria-label="不同时间的公开收入里程碑,线性长度,非同行排名">{observed.map((o) => <div key={o.id}>
<div><button onClick={() => setSelected(o.company)}>{o.name}</button><strong>{o.bound !== "=" && o.bound}{money(o.value, o.unit)}</strong></div>
{o.unit === "USD" && <span className="research-bar" data-estimate={o.selection === "estimate" || undefined} aria-hidden="true"><i style={{width: `${o.value / Math.max(1, ...observed.filter((v) => v.unit === "USD").map((v) => v.value)) * 100}%`}} /></span>}
<small>{o.kind} · {useLabels[o.selection]} · {o.timing}</small>
</div>)}</div>
<div className="research-table-wrap"><table><caption>当前研究数据中的收入可得性,目录项未逐一检索;未建立同期、同龄、同口径比较组</caption><thead><tr><th>业务分类</th><th>公司披露数</th><th>仅估算数</th><th>仅平台数</th><th>暂无可用数字</th><th>同期均值 / 离散度</th></tr></thead><tbody>{summaries.map((c) => <tr key={c.id}><td><button onClick={() => chooseCategory(c.id)}>{c.name}</button></td><td>{c.self}</td><td>{c.estimate}</td><td>{c.platform}</td><td>{c.unknown}</td><td>条件不足</td></tr>)}</tbody></table></div>
<div className="research-table-wrap"><table><caption>当前研究数据中的收入可得性,目录项未逐一检索;未建立同期、同龄、同口径比较组</caption><thead><tr><th>业务分类</th><th>企业披露数</th><th>仅估算数</th><th>仅平台数</th><th>暂无可用数字</th><th>同期均值 / 离散度</th></tr></thead><tbody>{summaries.map((c) => <tr key={c.id}><td><button onClick={() => chooseCategory(c.id)}>{c.name}</button></td><td>{c.self}</td><td>{c.estimate}</td><td>{c.platform}</td><td>{c.unknown}</td><td>条件不足</td></tr>)}</tbody></table></div>
<p className="research-muted">离散度用于筛选值得核查的异常,还需排除公司年龄、口径和披露偏差;不能据此认定财务造假。</p>
</>}
{tab === "sources" && <><p className="research-muted">来源链接保留原始位置。相同 URL 的记录可能属于同一披露,不能按记录数计算独立证据数量。</p><ul className="research-evidence-list">{data.evidence.slice(sourcePage * evidencePageSize, (sourcePage + 1) * evidencePageSize).map((e) => <Evidence key={e.id} item={e} />)}</ul>{data.evidence.length > evidencePageSize && <nav className="research-pagination" aria-label="原始证据分页"><button disabled={sourcePage === 0} onClick={() => setSourcePage((n) => n - 1)}>上一页</button><span>{sourcePage + 1} / {Math.ceil(data.evidence.length / evidencePageSize)}</span><button disabled={(sourcePage + 1) * evidencePageSize >= data.evidence.length} onClick={() => setSourcePage((n) => n + 1)}>下一页</button></nav>}</>}
+7 -7
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@@ -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, 1028);
assert.equal(initial.evidence.length, 1392);
assert.equal(initial.observations.length, 191);
assert.equal(initial.companies.length, 1029);
assert.equal(initial.evidence.length, 1394);
assert.equal(initial.observations.length, 192);
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");
@@ -64,7 +64,7 @@ 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, 73);
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 74);
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 10);
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 35);
const review = snapshot.reviews.find((r) => r.id === "R4")!;
@@ -85,8 +85,8 @@ 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), 1028);
assert.equal(summary.reduce((n, c) => n + c.self, 0), 27);
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1029);
assert.equal(summary.reduce((n, c) => n + c.self, 0), 28);
assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
assert.equal(summary.reduce((n, c) => n + c.platform, 0), 16);
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 983);
@@ -97,7 +97,7 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
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, 27);
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 28);
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 7);
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");