gaming

.prettierrc

@@ -1,6 +1,7 @@
 {
 	"printWidth": 140,
-	"singleQuote": true,
+	"singleQuote": false,
 	"semi": true,
-	"useTabs": true
+	"useTabs": true,
+	"tabWidth": 4
 }

package.json

@@ -13,7 +13,6 @@
 		"@cloudflare/vitest-pool-workers": "^0.5.2",
 		"@cloudflare/workers-types": "^4.20241112.0",
 		"typescript": "^5.5.2",
-    "vitest": "2.0.5",
 		"wrangler": "^3.60.3"
 	}
 }

pnpm-lock.yaml

@@ -17,9 +17,6 @@ importers:
       typescript:
         specifier: ^5.5.2
         version: 5.6.3
-      vitest:
-        specifier: 2.0.5
-        version: 2.0.5(@types/node@22.9.0)
       wrangler:
         specifier: ^3.60.3
         version: 3.87.0(@cloudflare/workers-types@4.20241112.0)

src/index.ts

@@ -1,18 +1,5 @@
-/**
- * Welcome to Cloudflare Workers! This is your first worker.
- *
- * - Run `npm run dev` in your terminal to start a development server
- * - Open a browser tab at http://localhost:8787/ to see your worker in action
- * - Run `npm run deploy` to publish your worker
- *
- * Bind resources to your worker in `wrangler.toml`. After adding bindings, a type definition for the
- * `Env` object can be regenerated with `npm run cf-typegen`.
- *
- * Learn more at https://developers.cloudflare.com/workers/
- */
-
 export default {
 	async fetch(request, env, ctx): Promise<Response> {
-		return new Response('Hello World!');
+		return new Response("Hello World!");
 	},
 } satisfies ExportedHandler<Env>;

test/index.spec.ts

@@ -1,25 +0,0 @@
-// test/index.spec.ts
-import { env, createExecutionContext, waitOnExecutionContext, SELF } from 'cloudflare:test';
-import { describe, it, expect } from 'vitest';
-import worker from '../src/index';
-
-// For now, you'll need to do something like this to get a correctly-typed
-// `Request` to pass to `worker.fetch()`.
-const IncomingRequest = Request<unknown, IncomingRequestCfProperties>;
-
-describe('Hello World worker', () => {
-	it('responds with Hello World! (unit style)', async () => {
-		const request = new IncomingRequest('http://example.com');
-		// Create an empty context to pass to `worker.fetch()`.
-		const ctx = createExecutionContext();
-		const response = await worker.fetch(request, env, ctx);
-		// Wait for all `Promise`s passed to `ctx.waitUntil()` to settle before running test assertions
-		await waitOnExecutionContext(ctx);
-		expect(await response.text()).toMatchInlineSnapshot(`"Hello World!"`);
-	});
-
-	it('responds with Hello World! (integration style)', async () => {
-		const response = await SELF.fetch('https://example.com');
-		expect(await response.text()).toMatchInlineSnapshot(`"Hello World!"`);
-	});
-});

test/tsconfig.json

@@ -1,8 +0,0 @@
-{
-	"extends": "../tsconfig.json",
-	"compilerOptions": {
-		"types": ["@cloudflare/workers-types/experimental", "@cloudflare/vitest-pool-workers"]
-	},
-	"include": ["./**/*.ts", "../src/env.d.ts"],
-	"exclude": []
-}

tsconfig.json

@@ -14,9 +14,7 @@
 		/* Specify how TypeScript looks up a file from a given module specifier. */
 		"moduleResolution": "Bundler",
 		/* Specify type package names to be included without being referenced in a source file. */
-		"types": [
-			"@cloudflare/workers-types/2023-07-01"
-		],
+		"types": ["@cloudflare/workers-types/2023-07-01"],
 		/* Enable importing .json files */
 		"resolveJsonModule": true,
 

vitest.config.mts

@@ -1,11 +0,0 @@
-import { defineWorkersConfig } from '@cloudflare/vitest-pool-workers/config';
-
-export default defineWorkersConfig({
-	test: {
-		poolOptions: {
-			workers: {
-				wrangler: { configPath: './wrangler.toml' },
-			},
-		},
-	},
-});

wrangler.toml

@@ -27,8 +27,8 @@ enabled = true
 
 # Bind the Workers AI model catalog. Run machine learning models, powered by serverless GPUs, on Cloudflare’s global network
 # Docs: https://developers.cloudflare.com/workers/wrangler/configuration/#workers-ai
-# [ai]
-# binding = "AI"
+[ai]
+binding = "AI"
 
 # Bind an Analytics Engine dataset. Use Analytics Engine to write analytics within your Pages Function.
 # Docs: https://developers.cloudflare.com/workers/wrangler/configuration/#analytics-engine-datasets