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.
102 lines
4.3 KiB
TypeScript
102 lines
4.3 KiB
TypeScript
// Luzern sweep: LinkedIn + job-room.ch (canton LU)
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import { KEYWORDS } from "../config.ts";
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import type { SearchConfig } from "../config.ts";
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import { fetchJobs, isEnglishContent, NON_ENGLISH_RE, JUNIOR_TITLE_RE, JAVA_TITLE_RE, SOFTWARE_TITLE_RE } from "../fetch.ts";
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const MS_STACK_RE = /\.net\b|\bc#|sharepoint|dynamics 365|power platform|\bsccm\b|intune|successfactors|\bsap\b|\bm365\b/i;
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const PHARMA_RE = /\b(clinical|pharmaceutical|drug\s+(substance|product)|ha?ematology|oncology|formulation|laborator|chemist|chemistry|biolog|preclinical|regulatory\s+affairs|medical\s+affairs|veterinary|pathologist)\b/i;
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const DE_FR_RE = /\b(und|oder|wir|Sie|Ihre|Ihrer|Kenntnisse|Erfahrung|Aufgaben|Anforderungen|Stelle|Unternehmen|Mitarbeiter|Bereich|nous|vous|votre|pour|avec|des|les)\b/g;
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const strip = (s: string) => s.replace(/<[^>]+>/g, "").replace(/\s+/g, " ").trim();
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// ---------- LinkedIn ----------
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console.log("=== LinkedIn: Lucerne ===");
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const config: SearchConfig = {
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label: "Luzern",
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keywords: KEYWORDS,
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location: "Lucerne, Switzerland",
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workType: ["onsite", "hybrid"],
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timePosted: "month",
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};
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const liJobs = await fetchJobs(config);
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console.log(`${liJobs.length} after title filters\n`);
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const liKept: any[] = [];
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for (const j of liJobs) {
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if (MS_STACK_RE.test(j.title)) continue;
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process.stdout.write(` ${j.title} … `);
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const ok = await isEnglishContent(j.id);
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console.log(ok ? "ok" : "dropped (DE/FR)");
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if (ok) liKept.push(j);
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}
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// ---------- job-room.ch, canton LU ----------
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console.log("\n=== job-room.ch: canton LU ===");
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const API = "https://www.job-room.ch/jobadservice/api/jobAdvertisements/_search";
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const UA = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36";
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const KWS = ["software", "engineer", "developer", "devops", "data", "python", "cloud", "platform", "backend", "full stack", "ai"];
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const ads = new Map<string, any>();
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for (const kw of KWS) {
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for (let page = 0; page < 5; page++) {
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const res = await fetch(`${API}?page=${page}&size=100`, {
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method: "POST",
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headers: { "Content-Type": "application/json", Accept: "application/json", "User-Agent": UA },
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body: JSON.stringify({
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onlineSince: 30, displayRestricted: false, keywords: [kw],
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cantonCodes: ["LU"], workloadPercentageMin: 0, workloadPercentageMax: 100,
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}),
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});
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if (!res.ok) break;
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const hits = (await res.json()) as any[];
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for (const h of hits) if (h.jobAdvertisement?.id) ads.set(h.jobAdvertisement.id, h.jobAdvertisement);
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if (hits.length < 100) break;
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await Bun.sleep(200);
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}
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await Bun.sleep(200);
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}
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console.log(`${ads.size} unique ads in LU`);
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const jrKept: any[] = [];
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for (const ad of ads.values()) {
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const c = ad.jobContent;
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const d = c?.jobDescriptions?.[0];
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if (!d) continue;
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const title = strip(d.title);
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if (NON_ENGLISH_RE.test(title) || JUNIOR_TITLE_RE.test(title) || JAVA_TITLE_RE.test(title)) continue;
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if (!SOFTWARE_TITLE_RE.test(title)) continue;
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if (MS_STACK_RE.test(title) || PHARMA_RE.test(title)) continue;
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const body = strip(d.description ?? "");
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if ((body.match(DE_FR_RE) ?? []).length >= 6) continue;
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if (MS_STACK_RE.test(body)) continue;
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const langs = (c.languageSkills ?? [])
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.map((l: any) => `${l.languageIsoCode}:${l.spokenLevel ?? "?"}/${l.writtenLevel ?? "?"}`).join(" ");
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jrKept.push({
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title,
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company: c.company?.name ?? "",
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city: c.location?.city ?? "",
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workload: `${c.employment?.workloadPercentageMin ?? "?"}-${c.employment?.workloadPercentageMax ?? "?"}%`,
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posted: ad.createdTime?.slice(0, 10) ?? "",
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langs,
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url: c.externalUrl ?? `https://www.job-room.ch/job-search/${ad.id}`,
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snippet: body.slice(0, 200),
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});
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}
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// ---------- output ----------
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console.log(`\n\n######## LinkedIn survivors: ${liKept.length} ########\n`);
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for (const j of liKept) console.log(`### ${j.title} [${j.company}]\n ${j.location} · ${j.postedAt}\n ${j.link}\n`);
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console.log(`\n######## job-room survivors: ${jrKept.length} ########\n`);
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jrKept.sort((a, b) => b.posted.localeCompare(a.posted));
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for (const j of jrKept) {
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console.log(`### ${j.title} [${j.company}]`);
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console.log(` ${j.city} · ${j.workload} · ${j.posted}`);
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if (j.langs) console.log(` langs: ${j.langs}`);
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console.log(` ${j.url}`);
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console.log(` ${j.snippet}\n`);
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}
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