rodado
b4957025b1
Adds the one-off scripts accumulated across recent sessions, removes temp scripts whose searches now live in config.ts as role-family sweeps, and updates fetch-other.ts plus the LinkedIn post drafts.
35 lines
1.3 KiB
TypeScript
35 lines
1.3 KiB
TypeScript
// Re-runs the one search that returned HTTP 500 during the full fetch and
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// appends its survivors to results/jobs.csv in the same format as index.ts.
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import { RESEARCH_KEYWORDS } from "../config.ts";
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import { fetchJobs, isEnglishContent } from "../fetch.ts";
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import type { SearchConfig } from "../config.ts";
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const CSV = "./results/jobs.csv";
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const config: SearchConfig = {
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label: "Research — Zürich Metropolitan Area",
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keywords: RESEARCH_KEYWORDS,
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geoId: "107814425",
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location: "Zürich Metropolitan Area",
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workType: ["onsite", "hybrid"],
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timePosted: "month",
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};
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function csvCell(val: string): string {
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return `"${(val ?? "").replace(/"/g, '""')}"`;
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}
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const text = await Bun.file(CSV).text();
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const seen = new Set(
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text.split("\n").map((l) => l.match(/jobs\/view\/(\d+)/)?.[1]).filter(Boolean) as string[]
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);
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const date = new Date().toISOString().slice(0, 10);
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const jobs = (await fetchJobs(config)).filter((j) => !seen.has(j.id));
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const rows: string[] = [];
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for (const j of jobs) {
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if (!(await isEnglishContent(j.id))) continue;
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rows.push([date, j.postedAt, config.label, j.title, j.company, j.link, "linkedin.com"].map(csvCell).join(","));
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}
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await Bun.write(CSV, text.trimEnd() + "\n" + rows.join("\n") + "\n");
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console.log(`${rows.length} appended → ${CSV}`);
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