Compare commits
14 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| a4c9349fce | |||
| 4c4471c2bd | |||
| 53aef1eb64 | |||
| 18af3802c6 | |||
| 4e9ff80828 | |||
| 0e1f99639f | |||
| f8a5551215 | |||
| 45edbeae1f | |||
| a9af14ac63 | |||
| c1f4366379 | |||
| c0d6b4a8e1 | |||
| db70ef32da | |||
| 55b8fea7a8 | |||
| 701ef632ff |
@@ -179,6 +179,18 @@ python3 scripts/documents-client.py save "$api_work_dir/document.json"
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客户端只自动重试一次临时网络或 `502/503/504` 错误,保持正文和请求 ID 不变;`409` 等业务错误不会自动覆盖。它不跟随 HTTP 重定向,避免将 Bearer 凭据转发到其他地址。正文和 Key 继续保存在数据库或私有文件中,不因使用 API 而进入 Git。
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### 上传正文图片
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使用前述 HTTPS 或 SSH 隧道配置以及 `read-write` 文档 API Key:
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```sh
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python3 scripts/documents-client.py upload-image ./diagram.png
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```
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客户端向 `POST /api/documents/images` 发送原始图片字节,`Content-Type` 为 `image/png`、`image/jpeg` 或 `image/webp`。服务端接受最大 8 MiB、2500 万像素的静态图,转换为最大 2000 × 4000 像素、2 MiB 的 WebP,并按处理后内容去重。
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把响应中的 `url` 放入 Markdown,例如 ``,然后通过章节 API 保存正文。登录读者和文档 API Key 均可读取图片。图片存入现有持久化 SQLite,同步纳入整库备份。仅导出正文的 `docs export` 保留图片引用,迁移时需使用包含图片的整库备份。
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## 研究数据与检查
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研究工作台提供公司筛选、经营指标、原始证据、收费与交付模式、技术材料及核查记录。它区分公司披露、支付平台指标、第三方估算、融资和客户收益;未知收入不填零,材料可访问也不代表性能或商业效果已经验证。研究范围、样本限制和个案结论以工作台记录为准。
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@@ -20,7 +20,8 @@
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"react": "19.3.1",
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"react-dom": "19.3.1",
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"react-markdown": "10.1.0",
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"remark-gfm": "4.0.1"
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"remark-gfm": "4.0.1",
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"sharp": "0.35.5"
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},
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"devDependencies": {
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"@tailwindcss/postcss": "4.3.3",
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@@ -33,7 +34,6 @@
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"eslint": "^9.39.5",
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"eslint-config-next": "16.4.3",
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"postcss": "8.5.31",
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"sharp": "0.35.5",
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"tailwindcss": "4.3.3",
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"typescript": "~5.9.3"
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}
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@@ -182,10 +182,10 @@ async function main() {
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assert.equal(researchResponse.status, 200, "authenticated research API");
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assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
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const research = await researchResponse.json();
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assert.equal(research.companies.length, 1293);
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assert.equal(research.companies.length, 1312);
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assert.equal(research.categories.length, 11);
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assert.equal(research.evidence.length, 5270);
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assert.equal(research.observations.length, 493);
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assert.equal(research.evidence.length, 5354);
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assert.equal(research.observations.length, 495);
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assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
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const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
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assert.equal(researchPage.status, 200);
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@@ -200,11 +200,15 @@ async function main() {
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for (const doc of searchIndex as { slug: string; sourceSlug: string }[]) {
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assert.ok(!doc.slug.split("/").some((part) => /^\d+-/.test(part)), doc.slug);
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const legacy = await request(`/docs/${doc.sourceSlug}?from=legacy`, { headers });
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assert.equal(legacy.status, 308, doc.sourceSlug);
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const destination = new URL(legacy.headers.get("location")!, base);
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assert.equal(destination.pathname, `/docs/${doc.slug}`);
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assert.equal(destination.searchParams.get("from"), "legacy");
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assert.ok(legacy.headers.get("cache-control")?.includes("no-store"));
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if (doc.sourceSlug === doc.slug) {
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assert.equal(legacy.status, 200, doc.sourceSlug);
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} else {
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assert.equal(legacy.status, 308, doc.sourceSlug);
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const destination = new URL(legacy.headers.get("location")!, base);
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assert.equal(destination.pathname, `/docs/${doc.slug}`);
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assert.equal(destination.searchParams.get("from"), "legacy");
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}
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}
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const routes = ["/", ...searchIndex.map((doc: { slug: string }) => `/docs/${doc.slug}`)];
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const raw = await request("/api/documents/source?slug=endor/endor-purpose-draft", { headers });
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@@ -254,6 +258,17 @@ async function main() {
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for (const id of ids) assert.ok(html.includes(`href="#${id}"`), `TOC anchor: ${route}#${id}`);
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}
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}
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assert.ok(!home.includes('data-category="Endor"'), "Superseded Endor collection is absent from navigation");
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if (searchIndex.some((doc: { collection: string }) => doc.collection === "Endorphin")) {
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assert.equal([...home.matchAll(/data-category="([^"]+)"/g)][0]?.[1], "Endorphin", "Endorphin is the first category");
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assert.ok(home.includes('/docs/endorphin/value-proposition'), "Endorphin opens at its value proposition");
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}
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// Retired documents remain reachable for historical links and gallery checks.
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if (!purpose) {
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const archived = await request("/docs/endor/endor-purpose-draft", { headers });
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assert.equal(archived.status, 200);
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purpose = await archived.text();
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}
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assert.ok(home.includes("资料库"));
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assert.ok(home.includes("/docs/source-studies/pretext/overview"));
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// Inline preview and zoom dialog must both use the compressed browser asset.
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@@ -1,5 +1,11 @@
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import type { DocLink } from "@/lib/docs";
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// Keep superseded Endor pages addressable without offering them as current material.
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export function catalogDocuments<T extends DocLink>(docs: T[]): T[] {
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return docs.filter((doc) => doc.collection !== "Endor 文档")
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.sort((a, b) => Number(b.collection === "Endorphin") - Number(a.collection === "Endorphin"));
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}
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export function collectionLabel(name: string) {
|
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return name.replace(/ 文档$| 源码教程$|问题集$/g, "");
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}
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@@ -15,10 +21,13 @@ export function collectionIcon(name?: string): "book" | "code" | "layers" | "nod
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if (name?.includes("垃圾回收")) return "nodes";
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return "book";
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}
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export function collectionEntries(docs: DocLink[]) {
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export function collectionEntries(documents: DocLink[]) {
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const docs = catalogDocuments(documents);
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return [...new Set(docs.map((doc) => doc.collection))].map((name) => {
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const items = docs.filter((doc) => doc.collection === name);
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const entry = items.find((doc) => doc.slug.endsWith("/overview")) ?? items[0];
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const entry = items.find((doc) => doc.slug.endsWith("/overview"))
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?? (name === "Endorphin" ? items.find((doc) => doc.featured) : undefined)
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?? items[0];
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return { name, entry, count: items.length };
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});
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}
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@@ -1,4 +1,5 @@
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import { randomUUID, createHash } from "node:crypto";
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import { catalogDocuments } from "./collections";
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import { openSiteDatabase } from "./site-database";
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import { DocumentValidationError, DocumentConflictError } from "./document-errors";
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import { sectionSchema, loadSections, reconcileSections, persistSections, splitSections, outline,
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@@ -188,7 +189,7 @@ export async function readDoc(slug: string): Promise<Doc> {
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}
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export async function listDocs(): Promise<DocLink[]> {
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return allDocuments().map(({ content: _, ...doc }) => { void _; return doc; });
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return catalogDocuments(allDocuments()).map(({ content: _, ...doc }) => { void _; return doc; });
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}
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// Explicit, atomic bootstrap only. Runtime reads never import repository data.
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@@ -0,0 +1,39 @@
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import { createHash } from "node:crypto";
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import { openSiteDatabase } from "./site-database";
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function openImages() {
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const db = openSiteDatabase();
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try {
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db.exec(`CREATE TABLE IF NOT EXISTS document_images (
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id TEXT PRIMARY KEY,
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bytes BLOB NOT NULL
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)`);
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return db;
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} catch (error) {
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db.close();
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throw error;
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}
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}
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export function saveDocumentImage(bytes: Buffer) {
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const id = createHash("sha256").update(bytes).digest("hex");
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const db = openImages();
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try {
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db.prepare("INSERT INTO document_images (id, bytes) VALUES (?, ?) ON CONFLICT(id) DO NOTHING").run(id, bytes);
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return id;
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} finally {
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db.close();
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}
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}
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export function readDocumentImage(id: string) {
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const db = openImages();
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try {
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const row = db.prepare("SELECT bytes FROM document_images WHERE id = ?").get(id) as
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| { bytes: Uint8Array }
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| undefined;
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return row ? Buffer.from(row.bytes) : undefined;
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} finally {
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db.close();
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}
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}
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@@ -0,0 +1,24 @@
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import type { NextApiRequest, NextApiResponse } from "next";
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import { documentApiError } from "@/lib/documents-api";
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import { readDocumentImage } from "@/lib/document-images";
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// The site proxy accepts a logged-in reader or a document API key on this route.
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export default function handler(request: NextApiRequest, response: NextApiResponse) {
|
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try {
|
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response.setHeader("Cache-Control", "private, no-store");
|
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response.setHeader("X-Content-Type-Options", "nosniff");
|
||||
if (request.method !== "GET" && request.method !== "HEAD") {
|
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response.setHeader("Allow", "GET, HEAD");
|
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return response.status(405).end();
|
||||
}
|
||||
const id = request.query.id;
|
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if (typeof id !== "string" || !/^[a-f0-9]{64}$/.test(id)) return response.status(404).end();
|
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const bytes = readDocumentImage(id);
|
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if (!bytes) return response.status(404).end();
|
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response.setHeader("Content-Type", "image/webp");
|
||||
response.setHeader("Content-Length", bytes.length);
|
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return request.method === "HEAD" ? response.status(200).end() : response.status(200).send(bytes);
|
||||
} catch (error) {
|
||||
return documentApiError(response, error);
|
||||
}
|
||||
}
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@@ -0,0 +1,64 @@
|
||||
import type { NextApiRequest, NextApiResponse } from "next";
|
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import sharp from "sharp";
|
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import { authorizeDocuments, documentApiError } from "@/lib/documents-api";
|
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import { saveDocumentImage } from "@/lib/document-images";
|
||||
|
||||
const maxUploadBytes = 8 * 1024 * 1024;
|
||||
const maxStoredBytes = 2 * 1024 * 1024;
|
||||
const imageTypes = new Set(["image/png", "image/jpeg", "image/webp"]);
|
||||
const imageFormats = new Set(["png", "jpeg", "webp"]);
|
||||
|
||||
export const config = { api: { bodyParser: false } };
|
||||
|
||||
export default async function handler(request: NextApiRequest, response: NextApiResponse) {
|
||||
try {
|
||||
if (request.method !== "POST") {
|
||||
response.setHeader("Allow", "POST");
|
||||
return response.status(405).end();
|
||||
}
|
||||
if (!authorizeDocuments(request, response, true)) return;
|
||||
|
||||
const type = request.headers["content-type"]?.split(";")[0].trim().toLowerCase();
|
||||
if (!type || !imageTypes.has(type)) {
|
||||
return response.status(415).json({ error: "请上传 PNG、JPEG 或 WebP 图片" });
|
||||
}
|
||||
if (Number(request.headers["content-length"]) > maxUploadBytes) {
|
||||
return response.status(413).json({ error: "图片上传上限为 8 MiB" });
|
||||
}
|
||||
|
||||
const chunks: Buffer[] = [];
|
||||
let length = 0;
|
||||
for await (const chunk of request.iterator({ destroyOnReturn: false })) {
|
||||
const bytes = Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk);
|
||||
length += bytes.length;
|
||||
if (length > maxUploadBytes) {
|
||||
return response.status(413).json({ error: "图片上传上限为 8 MiB" });
|
||||
}
|
||||
chunks.push(bytes);
|
||||
}
|
||||
|
||||
let encoded: Buffer;
|
||||
try {
|
||||
const input = sharp(Buffer.concat(chunks), { limitInputPixels: 25_000_000 });
|
||||
const { format, pages } = await input.metadata();
|
||||
if (!format || !imageFormats.has(format) || type !== `image/${format}` || (pages ?? 1) > 1) {
|
||||
return response.status(415).json({ error: "图片格式需与声明一致,且只支持静态图片" });
|
||||
}
|
||||
encoded = await input.rotate()
|
||||
.resize({ width: 2000, height: 4000, fit: "inside", withoutEnlargement: true })
|
||||
.webp({ quality: 85 })
|
||||
.toBuffer();
|
||||
} catch {
|
||||
return response.status(400).json({ error: "无法解码图片,或像素数量超过限制" });
|
||||
}
|
||||
if (encoded.length > maxStoredBytes) {
|
||||
return response.status(413).json({ error: "处理后的图片超过 2 MiB,请缩小后重试" });
|
||||
}
|
||||
|
||||
const id = saveDocumentImage(encoded);
|
||||
const url = `/api/documents/images/${id}`;
|
||||
return response.status(200).json({ id, url, contentType: "image/webp", size: encoded.length });
|
||||
} catch (error) {
|
||||
return documentApiError(response, error);
|
||||
}
|
||||
}
|
||||
@@ -1,4 +1,5 @@
|
||||
import type { NextApiRequest, NextApiResponse } from "next";
|
||||
import { catalogDocuments } from "@/lib/collections";
|
||||
import { allDocuments } from "@/lib/docs";
|
||||
|
||||
// The proxy authenticates this endpoint, including index content.
|
||||
@@ -9,7 +10,7 @@ export default async function handler(request: NextApiRequest, response: NextApi
|
||||
return response.status(405).end();
|
||||
}
|
||||
try {
|
||||
const index = allDocuments().map(({ content, ...doc }) => ({ ...doc, searchText: content }));
|
||||
const index = catalogDocuments(allDocuments()).map(({ content, ...doc }) => ({ ...doc, searchText: content }));
|
||||
return response.status(200).json(index);
|
||||
} catch {
|
||||
return response.status(503).json({ error: "文档数据库暂时不可用" });
|
||||
|
||||
@@ -23,6 +23,10 @@ import { collectionEntries, collectionLabel } from "@/lib/collections";
|
||||
import { Icon } from "@/components/Icon";
|
||||
import { headingsFor } from "@/lib/navigation";
|
||||
|
||||
function isZoomableFigure(source: string) {
|
||||
return source.startsWith("/figures/endor-") || /^\/api\/documents\/images\/[a-f0-9]{64}$/.test(source);
|
||||
}
|
||||
|
||||
type Props = { doc: Doc; docs: DocLink[] };
|
||||
const AICompanyResearch = dynamic(() => import("@/components/AICompanyResearch"));
|
||||
export const getServerSideProps: GetServerSideProps<Props> = async ({ params, res, resolvedUrl }) => {
|
||||
@@ -54,7 +58,8 @@ export default function DocPage({
|
||||
const [active, setActive] = useState("");
|
||||
|
||||
const siblings = docs.filter((d) => d.collection === doc.collection);
|
||||
const collectionEntry = collectionEntries(docs).find((c) => c.name === doc.collection)!.entry;
|
||||
// Historical pages remain readable even when their collection is outside the catalog.
|
||||
const collectionEntry = collectionEntries(docs).find((c) => c.name === doc.collection)?.entry ?? doc;
|
||||
const index = siblings.findIndex((d) => d.slug === doc.slug);
|
||||
useEffect(() => {
|
||||
const observer = new IntersectionObserver(
|
||||
@@ -120,14 +125,14 @@ export default function DocPage({
|
||||
const slides = node?.children.flatMap((child) =>
|
||||
child.type === "element" && child.tagName === "img" &&
|
||||
typeof child.properties.src === "string" &&
|
||||
child.properties.src.startsWith("/figures/endor-")
|
||||
isZoomableFigure(child.properties.src)
|
||||
? [{ source: child.properties.src, alt: String(child.properties.alt ?? "") }]
|
||||
: [],
|
||||
) ?? [];
|
||||
const onlyImages = node?.children.every((child) =>
|
||||
(child.type === "element" && child.tagName === "img" &&
|
||||
typeof child.properties.src === "string" &&
|
||||
child.properties.src.startsWith("/figures/endor-")) ||
|
||||
isZoomableFigure(child.properties.src)) ||
|
||||
(child.type === "text" && child.value.trim() === ""),
|
||||
);
|
||||
if (slides.length > 1 && onlyImages) return <FigureGallery slides={slides} />;
|
||||
@@ -141,7 +146,7 @@ export default function DocPage({
|
||||
);
|
||||
},
|
||||
img: ({ src, alt }) =>
|
||||
typeof src === "string" && src.startsWith("/figures/endor-") ? (
|
||||
typeof src === "string" && isZoomableFigure(src) ? (
|
||||
<ArchitectureFigure source={src} alt={alt ?? "Endor 架构图"} />
|
||||
) : (
|
||||
// eslint-disable-next-line @next/next/no-img-element
|
||||
|
||||
@@ -92,7 +92,8 @@ test("ARR ledger preserves historical estimates without promoting targets, run r
|
||||
const ids = new Set(rows.map((row) => row.observation.id));
|
||||
for (const id of ["O064", "O065", "O066", "O069", "O070", "O071", "O046"])
|
||||
assert.ok(ids.has(id), `${id}: historical claims, estimates and unknown currencies remain visible`);
|
||||
for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE"])
|
||||
for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE",
|
||||
"SRLEARN1-O-CLAIR-D2C", "SRLEARN1-O-CLAIR-B2B"])
|
||||
assert.ok(!ids.has(id), `${id}: excluded or ambiguous records cannot enter the ARR ledger`);
|
||||
assert.equal(rows.find((row) => row.observation.id === "O066")?.observation.selection, "historical-estimate");
|
||||
assert.equal(rows.find((row) => row.observation.id === "O046")?.observation.unit, "原文$,币种待核");
|
||||
@@ -123,11 +124,11 @@ 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, 1293);
|
||||
assert.equal(initial.evidence.length, 5270);
|
||||
assert.equal(initial.observations.length, 493);
|
||||
assert.equal(initial.companies.length, 1312);
|
||||
assert.equal(initial.evidence.length, 5354);
|
||||
assert.equal(initial.observations.length, 495);
|
||||
const businessReviews = initial.reviews.filter((review) => review.type === businessModelReviewType);
|
||||
assert.equal(businessReviews.length, 18);
|
||||
assert.equal(businessReviews.length, 26);
|
||||
assert.deepEqual(businessReviews, seed.reviews.filter((review) => review.type === businessModelReviewType)
|
||||
.sort((a, b) => a.id.localeCompare(b.id)),
|
||||
"business model assessments and company/evidence links persist in the shared database");
|
||||
@@ -169,9 +170,9 @@ 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, 282);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 155);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 60);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 299);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 159);
|
||||
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 65);
|
||||
const review = snapshot.reviews.find((r) => r.id === "R4")!;
|
||||
assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
|
||||
assert.deepEqual(reviewCompanyIds(snapshot, snapshot.reviews.find((r) => r.id === "CN-R-PSI")!), []);
|
||||
@@ -190,11 +191,11 @@ 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), 1293);
|
||||
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1312);
|
||||
assert.equal(summary.reduce((n, c) => n + c.self, 0), 63);
|
||||
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), 1209);
|
||||
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1228);
|
||||
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"));
|
||||
@@ -229,7 +230,7 @@ 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, 284);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 303);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 29);
|
||||
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
|
||||
assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
|
||||
@@ -645,10 +646,10 @@ test("public Speedrun cohort rosters preserve the finite boundary without invent
|
||||
const newlyRegistered = rosters.filter((batch) => !batch.id.startsWith("SR007-")).flatMap((batch) => batch.records);
|
||||
assert.equal(newlyRegistered.length, 242);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "pending-year").length, 5);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 49);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 68);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "existing-outside-cohort").length, 1);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "outside-cohort").length, 144);
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 43,
|
||||
assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 24,
|
||||
"a known self-reported founding year does not by itself establish the current AI business");
|
||||
assert.equal(newlyRegistered.filter((row) => row.profileStatus === "readable").length, 232);
|
||||
assert.ok(newlyRegistered.filter((row) => row.status === "outside-cohort").every((row) =>
|
||||
@@ -825,6 +826,21 @@ test("enterprise contracts and launch-year conflicts retain their exclusions", (
|
||||
}
|
||||
});
|
||||
|
||||
test("financial candidates need current AI evidence before they acquire company and income links", () => {
|
||||
const snapshot = seed as ResearchSnapshot;
|
||||
const candidates = snapshot.candidateBatches!.flatMap((batch) => batch.records);
|
||||
for (const id of ["SR006R-C06", "SR006R-C16", "SR005R-C35", "SR006R-C08"]) {
|
||||
const candidate = candidates.find((row) => row.id === id)!;
|
||||
assert.equal(candidate.status, "pending-ai");
|
||||
assert.equal(candidate.companyId, undefined);
|
||||
assert.ok(candidate.evidenceIds!.some((proof) => proof.startsWith("SRFIN1-")));
|
||||
}
|
||||
const financial = snapshot.reviews.find((row) => row.id === "MODEL1-FINANCIAL-OPERATIONS")!;
|
||||
assert.deepEqual(reviewCompanyIds(snapshot, financial), ["AI202", "AI203", "AI204"]);
|
||||
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRFIN1-")),
|
||||
"bank size, FX processing, artist revenue, demo portfolios and benchmark scores are not vendor income");
|
||||
});
|
||||
|
||||
test("annual launch archives exclude older companies only with evidence and reuse existing records", () => {
|
||||
const snapshot = structuredClone(seed) as ResearchSnapshot;
|
||||
const batch = snapshot.candidateBatches!.find((b) => b.id === "PH-2025-visible-1")!;
|
||||
|
||||
+2409
-138
File diff suppressed because it is too large
Load Diff
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"version": "2026-11-01-sr-enterprise-1",
|
||||
"version": "2026-11-01-source-closeout-1",
|
||||
"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。",
|
||||
@@ -3040,8 +3040,8 @@
|
||||
"speedrun.a16z.com"
|
||||
],
|
||||
"initialAccess": "见具体证据访问记录",
|
||||
"boundary": "公开七批321唯一位置及原HTML/GET审计保留;226补读档案中138明确旧年、88自报两年:40已补官网关联、43当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读,10复用未本轮重读。七批120关联、1既有超年、145旧年、6品牌/年份、49当前AI/交付待核。新增Alike/Heavi/Modern Industrials/Piper/Sentra/Verra;Acceler8的2025自报与Dealroom同域2024上线及TC Capita主体未核,转年份待核。新增两条签约原数但排除收入/ARR比较,原491经营记录、ARR/MRR样本及YC覆盖保留。目录不等全部注册/技术/财务审计完成。",
|
||||
"nextCheck": "继续43个新批次及SR007六个主营待核、10复用变化;核Acceler8及其他品牌/注册沿革、实际合同/净费/财务币种日。Heavi及Verra签约期限/取消/上线履约/回款,工业采购货权/净费、ERP实施返工、企业记忆摄取/权限/删除和持续运维成本未核。不得从签约、客户订单/省时、基准费用、采用量或融资推ARR/造假概率。",
|
||||
"boundary": "公开七批321唯一位置及原HTML/GET审计保留;226补读档案中138旧年、88自报两年:59已补官网关联、24当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读,10复用未冒充本轮重读。七批139关联、1既有超年、145旧年、6品牌/年份、30当前AI/交付待核。最后20个初始备注已逐项核对14官网和6缺有效网址,替换具体缺项;5新关联,15留未决,不继续扩池。新增23证据,原495经营记录/ARR/MRR和YC保留。有限来源逐条核对并保留未决,不证明未公开公司覆盖或全部注册/技术/财务审计。",
|
||||
"nextCheck": "本轮有限公开来源首轮核对已落实具体记录/缺项;24新批次及SR007六项AI/身份、六项年份未决保留,不用标签强填。后续只有新增公司原件、可访问产品、注册/品牌链或真实合同/净费/财务日出现时补证;不无限重试同一空页/权限失败,也不由采用/请求/未来全上线预测推ARR/造假。",
|
||||
"limitation": "来源可读不等于声明已独立验证。",
|
||||
"rosterAudit": {
|
||||
"url": "https://speedrun.a16z.com/companies",
|
||||
@@ -3189,8 +3189,8 @@
|
||||
},
|
||||
"outsideTargetYears": 138,
|
||||
"targetYearSelfReports": 88,
|
||||
"newLinkedCompanies": 40,
|
||||
"pendingCurrentAIOrIdentity": 43,
|
||||
"newLinkedCompanies": 59,
|
||||
"pendingCurrentAIOrIdentity": 24,
|
||||
"records": [
|
||||
{
|
||||
"candidateId": "SR001R-C01",
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"sourceVersion": "2026-11-01-sr-enterprise-1",
|
||||
"sourceVersion": "2026-11-01-source-closeout-1",
|
||||
"asOf": "2026-11-01",
|
||||
"metric": "platform-mrr-usd",
|
||||
"sampleUnit": "product-or-business",
|
||||
|
||||
Generated
+3
-3
@@ -28,6 +28,9 @@ importers:
|
||||
remark-gfm:
|
||||
specifier: 4.0.1
|
||||
version: 4.0.1(supports-color@7.2.0)
|
||||
sharp:
|
||||
specifier: 0.35.5
|
||||
version: 0.35.5(@types/node@22.20.5)
|
||||
devDependencies:
|
||||
'@tailwindcss/postcss':
|
||||
specifier: 4.3.3
|
||||
@@ -59,9 +62,6 @@ importers:
|
||||
postcss:
|
||||
specifier: 8.5.31
|
||||
version: 8.5.31
|
||||
sharp:
|
||||
specifier: 0.35.5
|
||||
version: 0.35.5(@types/node@22.20.5)
|
||||
tailwindcss:
|
||||
specifier: 4.3.3
|
||||
version: 4.3.3
|
||||
|
||||
@@ -45,14 +45,15 @@ def read_token(filename):
|
||||
return value
|
||||
|
||||
|
||||
def request(base, token, method, path, payload=None, request_id=None):
|
||||
data = None if payload is None else json.dumps(payload, ensure_ascii=False).encode()
|
||||
def request(base, token, method, path, payload=None, request_id=None, *, image_type=None):
|
||||
data = payload if image_type else (None if payload is None else json.dumps(payload, ensure_ascii=False).encode())
|
||||
if data is not None and len(data) > 8 * 1024 * 1024:
|
||||
raise ValueError('Request exceeds 8 MiB; split into smaller atomic batches')
|
||||
headers = {'Authorization': 'Bearer ' + token, 'Accept': 'application/json'}
|
||||
if data is not None:
|
||||
headers['Content-Type'] = 'application/json'
|
||||
headers['Idempotency-Key'] = request_id
|
||||
headers['Content-Type'] = image_type or 'application/json'
|
||||
if request_id is not None:
|
||||
headers['Idempotency-Key'] = request_id
|
||||
opener = urllib.request.build_opener(NoRedirect())
|
||||
for attempt in range(2):
|
||||
req = urllib.request.Request(base + path, data=data, method=method, headers=headers)
|
||||
@@ -127,6 +128,8 @@ def main():
|
||||
editing.add_argument('slug')
|
||||
editing.add_argument('file')
|
||||
editing.add_argument('--request-id')
|
||||
upload = sub.add_parser('upload-image', help='Upload a static image and print its Markdown URL')
|
||||
upload.add_argument('file')
|
||||
saving = sub.add_parser('save')
|
||||
saving.add_argument('file', help='Private JSON file or - for stdin; one document or {documents: [...]}')
|
||||
saving.add_argument('--request-id', help='Reuse this id only with the same input when retrying')
|
||||
@@ -136,7 +139,18 @@ def main():
|
||||
try:
|
||||
base = server_url(args.url)
|
||||
token = read_token(args.key_file)
|
||||
if args.command == 'list':
|
||||
if args.command == 'upload-image':
|
||||
image = Path(args.file)
|
||||
image_types = {'.png': 'image/png', '.jpg': 'image/jpeg', '.jpeg': 'image/jpeg', '.webp': 'image/webp'}
|
||||
image_type = image_types.get(image.suffix.lower())
|
||||
if not image_type:
|
||||
raise ValueError('Use a PNG, JPEG or WebP image')
|
||||
with image.open('rb') as source:
|
||||
data = source.read(8 * 1024 * 1024 + 1)
|
||||
if len(data) > 8 * 1024 * 1024:
|
||||
raise ValueError('Image exceeds 8 MiB')
|
||||
result = request(base, token, 'POST', '/api/documents/images', data, image_type=image_type)
|
||||
elif args.command == 'list':
|
||||
result = request(base, token, 'GET', '/api/documents?' + urllib.parse.urlencode(
|
||||
{'limit': args.limit, 'offset': args.offset}))
|
||||
elif args.command == 'get':
|
||||
|
||||
Reference in New Issue
Block a user