AyrisAI
1a3e46f16c
Default 1 MiB limit rejected base64-encoded camera photos before the
request handler ever ran ("Request body is too large"), unrelated to
the OpenAI model. Also adds the public domains RLS policy needed for
custom-domain resolution on the public menu page (already applied
manually via SQL Editor, committing for history).
56 lines
1.9 KiB
TypeScript
56 lines
1.9 KiB
TypeScript
import cors from "@fastify/cors";
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import Fastify from "fastify";
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import { env } from "./env.js";
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import { aiImportsRoutes } from "./routes/ai-imports.js";
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import { analyticsRoutes } from "./routes/analytics.js";
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import { domainsRoutes } from "./routes/domains.js";
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import { menuCategoriesRoutes } from "./routes/menu-categories.js";
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import { menuItemsRoutes } from "./routes/menu-items.js";
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import { menusRoutes } from "./routes/menus.js";
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import { meRoutes } from "./routes/me.js";
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import { qrRoutes } from "./routes/qr.js";
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import { restaurantsRoutes } from "./routes/restaurants.js";
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import { subscriptionRoutes } from "./routes/subscription.js";
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// Default Fastify bodyLimit is 1 MiB — a base64-encoded menu photo from a
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// phone camera routinely exceeds that, so AI import uploads need real headroom.
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const app = Fastify({ logger: true, bodyLimit: 20 * 1024 * 1024 });
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await app.register(cors);
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// Clients (mobile fetch/axios in particular) commonly send
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// `Content-Type: application/json` on bodyless POSTs — treat an empty body
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// as `{}` instead of the default 400.
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app.addContentTypeParser("application/json", { parseAs: "string" }, (_req, body, done) => {
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if (!body) {
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done(null, {});
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return;
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}
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try {
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done(null, JSON.parse(body as string));
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} catch (err) {
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done(err as Error, undefined);
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}
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});
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app.get("/", async () => ({ name: "menul.io API", status: "ok", version: "0.0.1" }));
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app.get("/health", async () => ({ status: "ok" }));
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await app.register(meRoutes);
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await app.register(restaurantsRoutes);
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await app.register(menusRoutes);
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await app.register(menuCategoriesRoutes);
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await app.register(menuItemsRoutes);
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await app.register(qrRoutes);
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await app.register(aiImportsRoutes);
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await app.register(domainsRoutes);
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await app.register(analyticsRoutes);
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await app.register(subscriptionRoutes);
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app
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.listen({ port: env.PORT, host: "0.0.0.0" })
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.catch((err) => {
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app.log.error(err);
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process.exit(1);
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});
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