mirror of
https://github.com/MadsLorentzen/ai-job-search.git
synced 2026-11-08 16:07:40 +00:00
74 lines
3.1 KiB
TypeScript
74 lines
3.1 KiB
TypeScript
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import { expect, test } from "bun:test";
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import { mkdtempSync, rmSync, writeFileSync } from "node:fs";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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const endpoint = "https://www.linkedin.com/jobs-guest/jobs/api/jobPosting/4345841651";
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const cliPath = join(import.meta.dir, "../src/cli.ts");
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const fixture = Bun.file(join(import.meta.dir, "fixtures/detail-orbis-excerpt.html"));
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async function detail(format: "json" | "plain") {
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const requests: string[] = [];
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const server = Bun.serve({
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hostname: "127.0.0.1",
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port: 0,
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fetch(request) {
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requests.push(new URL(request.url).pathname);
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return new Response(fixture, { headers: { "Content-Type": "text/html" } });
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},
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});
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const dir = mkdtempSync(join(tmpdir(), "linkedin-description-"));
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const preload = join(dir, "fetch.ts");
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// Exercise the documented CLI in a fresh process, preserving its request
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// options. Any request other than this posting fails before network access.
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writeFileSync(preload, `
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const originalFetch = globalThis.fetch;
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globalThis.fetch = (input, init) => {
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const url = input instanceof Request ? input.url : String(input);
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if (url !== ${JSON.stringify(endpoint)}) throw new Error("Unexpected fixture request");
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return originalFetch(${JSON.stringify(server.url.origin)} + new URL(url).pathname, init);
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};
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`);
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try {
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const proc = Bun.spawn([
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process.execPath, "run", "--preload", preload, cliPath,
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"detail", "4345841651", "--format", format,
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], { stdout: "pipe", stderr: "pipe" });
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const [stdout, stderr, exitCode] = await Promise.all([
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new Response(proc.stdout).text(),
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new Response(proc.stderr).text(),
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proc.exited,
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]);
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expect(exitCode).toBe(0);
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expect(stderr).toBe("");
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expect(requests).toEqual(["/jobs-guest/jobs/api/jobPosting/4345841651"]);
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return stdout;
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} finally {
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server.stop(true);
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rmSync(dir, { recursive: true, force: true });
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}
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}
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test("detail JSON preserves paragraph and list boundaries from a captured guest response", async () => {
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const job = JSON.parse(await detail("json"));
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expect(job.description).toContain("Europe\n");
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expect(job.description).toContain("Designing and building agentic & multi-agent systems\nDeveloping");
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expect(job.description).not.toContain("<p>");
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});
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test("detail plain output preserves the same description boundaries", async () => {
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const output = await detail("plain");
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expect(output).toContain("Designing and building agentic & multi-agent systems\nDeveloping");
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expect(output).toContain("Status: CLOSED / EXPIRED");
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});
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test("description formatting retains the captured posting's other fields and text", async () => {
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const job = JSON.parse(await detail("json"));
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expect(job.id).toBe("4345841651");
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expect(job.title).toBe("Agentic AI Engineer - Full remote - Europe");
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expect(job.seniority).toBe("Mid-Senior level");
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expect(job.employmentType).toBe("Contract");
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expect(job.isActive).toBe(false);
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expect(job.description).toContain("Designing and building agentic & multi-agent systems");
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expect(job.description).toContain("Developing high-performance APIs that power AI agents at scale");
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});
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