mirror of
https://github.com/agentscope-ai/ReMe.git
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* feat(web): add the ReMe workspace frontend * fix(web): use public npm registry in lockfile * fix(web): address workspace review feedback * fix(web): protect drafts and report file limits * fix(web): finish chat streams after tab switches * feat(web): rename frontend to ReMe Studio
65 lines
1.8 KiB
TypeScript
65 lines
1.8 KiB
TypeScript
/** Cloudflare Worker entry point for the vinext-starter template. */
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import {
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handleImageOptimization,
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DEFAULT_DEVICE_SIZES,
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DEFAULT_IMAGE_SIZES,
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} from "vinext/server/image-optimization";
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import handler from "vinext/server/app-router-entry";
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interface Env {
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ASSETS: Fetcher;
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DB: D1Database;
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IMAGES: {
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input(stream: ReadableStream): {
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transform(options: Record<string, unknown>): {
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output(options: {
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format: string;
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quality: number;
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}): Promise<{ response(): Response }>;
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};
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};
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};
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}
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interface ExecutionContext {
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waitUntil(promise: Promise<unknown>): void;
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passThroughOnException(): void;
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}
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// Image security config. SVG sources with .svg extension auto-skip the
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// optimization endpoint on the client side (served directly, no proxy).
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// To route SVGs through the optimizer (with security headers), set
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// dangerouslyAllowSVG: true in next.config.js and uncomment below:
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// const imageConfig: ImageConfig = { dangerouslyAllowSVG: true };
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const worker = {
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async fetch(
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request: Request,
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env: Env,
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ctx: ExecutionContext,
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): Promise<Response> {
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const url = new URL(request.url);
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if (url.pathname === "/_vinext/image") {
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const allowedWidths = [...DEFAULT_DEVICE_SIZES, ...DEFAULT_IMAGE_SIZES];
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return handleImageOptimization(
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request,
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{
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fetchAsset: (path) =>
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env.ASSETS.fetch(new Request(new URL(path, request.url))),
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transformImage: async (body, { width, format, quality }) => {
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const result = await env.IMAGES.input(body)
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.transform(width > 0 ? { width } : {})
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.output({ format, quality });
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return result.response();
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},
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},
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allowedWidths,
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);
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}
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return handler.fetch(request, env, ctx);
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},
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};
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export default worker;
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