281 lines
12 KiB
JavaScript
281 lines
12 KiB
JavaScript
#!/usr/bin/env node
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/**
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* job_searcher.mjs — claw-apply Job Searcher
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* Searches LinkedIn + Wellfound and populates the jobs queue
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* Run via cron or manually: node job_searcher.mjs
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*/
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import { loadEnv } from './lib/env.mjs';
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loadEnv(); // load .env before anything else
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import { dirname, resolve } from 'path';
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import { fileURLToPath } from 'url';
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import { createWriteStream } from 'fs';
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const __dir = dirname(fileURLToPath(import.meta.url));
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// Tee all output to a log file so it's always available regardless of how the process is launched
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const logStream = createWriteStream(resolve(__dir, 'data/searcher.log'), { flags: 'w' });
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const origStdoutWrite = process.stdout.write.bind(process.stdout);
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const origStderrWrite = process.stderr.write.bind(process.stderr);
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process.stdout.write = (chunk, ...args) => { logStream.write(chunk); return origStdoutWrite(chunk, ...args); };
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process.stderr.write = (chunk, ...args) => { logStream.write(chunk); return origStderrWrite(chunk, ...args); };
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import { addJobs, loadQueue, loadConfig } from './lib/queue.mjs';
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import { writeFileSync, readFileSync, existsSync } from 'fs';
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import { acquireLock } from './lib/lock.mjs';
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import { createBrowser } from './lib/browser.mjs';
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import { verifyLogin as liLogin, searchLinkedIn } from './lib/linkedin.mjs';
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import { verifyLogin as wfLogin, searchWellfound } from './lib/wellfound.mjs';
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import { sendTelegram, formatSearchSummary } from './lib/notify.mjs';
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import { DEFAULT_FIRST_RUN_DAYS } from './lib/constants.mjs';
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import { generateKeywords } from './lib/keywords.mjs';
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import { initProgress, isCompleted, markComplete, getKeywordStart, markKeywordComplete, saveKeywords, getSavedKeywords, clearProgress } from './lib/search_progress.mjs';
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import { ensureLoggedIn } from './lib/session.mjs';
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async function main() {
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const lock = acquireLock('searcher', resolve(__dir, 'data'));
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// Cooldown guard — never run more than once per 6 hours unless --force is passed
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const MIN_HOURS_BETWEEN_RUNS = 6;
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if (!process.argv.includes('--force')) {
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const lastRunPath = resolve(__dir, 'data/searcher_last_run.json');
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if (existsSync(lastRunPath)) {
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const lastRun = JSON.parse(readFileSync(lastRunPath, 'utf8'));
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const lastRanAt = lastRun.finished_at || lastRun.started_at;
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if (lastRanAt) {
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const hoursSince = (Date.now() - new Date(lastRanAt).getTime()) / (1000 * 60 * 60);
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if (hoursSince < MIN_HOURS_BETWEEN_RUNS) {
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console.log(`⏳ Searcher ran ${hoursSince.toFixed(1)}h ago — cooldown (${MIN_HOURS_BETWEEN_RUNS}h min). Use --force to override.`);
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process.exit(0);
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}
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}
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}
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}
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console.log('🔍 claw-apply: Job Searcher starting\n');
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let totalAdded = 0, totalSeen = 0;
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const platformsRun = [];
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const trackCounts = {}; // { trackName: { found, added } }
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const startedAt = Date.now();
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const settings = loadConfig(resolve(__dir, 'config/settings.json'));
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const writeLastRun = (finished = false) => {
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const entry = {
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started_at: startedAt,
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finished_at: finished ? Date.now() : null,
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finished,
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added: totalAdded,
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seen: totalSeen,
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skipped_dupes: totalSeen - totalAdded,
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platforms: platformsRun,
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};
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// Always update last-run snapshot
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writeFileSync(resolve(__dir, 'data/searcher_last_run.json'), JSON.stringify(entry, null, 2));
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// Append to run history log
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const runsPath = resolve(__dir, 'data/search_runs.json');
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const runs = existsSync(runsPath) ? JSON.parse(readFileSync(runsPath, 'utf8')) : [];
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// Update last entry if same run, otherwise append
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if (runs.length > 0 && runs[runs.length - 1].started_at === startedAt) {
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runs[runs.length - 1] = entry;
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} else {
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runs.push(entry);
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}
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writeFileSync(runsPath, JSON.stringify(runs, null, 2));
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};
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lock.onShutdown(async () => {
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console.log(' Writing partial results to last-run file...');
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writeLastRun(false);
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if (totalAdded > 0) {
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const summary = formatSearchSummary(totalAdded, totalSeen - totalAdded, platformsRun.length ? platformsRun : ['LinkedIn'], trackCounts);
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await sendTelegram(settings, summary + '\n_(partial run — interrupted)_').catch(() => {});
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}
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});
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// Load config
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const searchConfig = loadConfig(resolve(__dir, 'config/search_config.json'));
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// First run detection: if queue is empty, use first_run_days lookback
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const profile = loadConfig(resolve(__dir, 'config/profile.json'));
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const anthropicKey = process.env.ANTHROPIC_API_KEY || settings.anthropic_api_key;
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// Determine lookback: check for an in-progress run first, then fall back to first-run/normal logic
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const savedProgress = existsSync(resolve(__dir, 'data/search_progress.json'))
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? JSON.parse(readFileSync(resolve(__dir, 'data/search_progress.json'), 'utf8'))
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: null;
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const isFirstRun = loadQueue().length === 0;
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// Dynamic lookback: time since last run × 1.25 buffer (min 4h, max first_run_days)
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function dynamicLookbackDays() {
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const lastRunPath = resolve(__dir, 'data/searcher_last_run.json');
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if (!existsSync(lastRunPath)) return searchConfig.posted_within_days || 2;
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const lastRun = JSON.parse(readFileSync(lastRunPath, 'utf8'));
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const lastRanAt = lastRun.started_at || lastRun.finished_at;
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if (!lastRanAt) return searchConfig.posted_within_days || 2;
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const hoursSince = (Date.now() - new Date(lastRanAt).getTime()) / (1000 * 60 * 60);
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const buffered = hoursSince * 1.25;
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const minHours = 4;
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const maxDays = searchConfig.first_run_days || DEFAULT_FIRST_RUN_DAYS;
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return Math.min(Math.max(buffered / 24, minHours / 24), maxDays);
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}
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const lookbackDays = savedProgress?.lookback_days
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|| (isFirstRun ? (searchConfig.first_run_days || DEFAULT_FIRST_RUN_DAYS) : dynamicLookbackDays());
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if (savedProgress?.lookback_days) {
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console.log(`🔁 Resuming ${lookbackDays.toFixed(2)}-day search run\n`);
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} else if (isFirstRun) {
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console.log(`📅 First run — looking back ${lookbackDays} days\n`);
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} else {
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const hours = (lookbackDays * 24).toFixed(1);
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console.log(`⏱️ Dynamic lookback: ${hours}h (time since last run × 1.25)\n`);
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}
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// Init progress tracking — enables resume on restart
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initProgress(resolve(__dir, 'data'), lookbackDays);
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// Enhance keywords with AI — reuse saved keywords from progress if resuming, never regenerate mid-run
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for (const search of searchConfig.searches) {
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const saved = getSavedKeywords('linkedin', search.name) ?? getSavedKeywords('wellfound', search.name);
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if (saved) {
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console.log(` [${search.name}] reusing ${saved.length} saved keywords`);
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search.keywords = saved;
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} else if (anthropicKey) {
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try {
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const aiKeywords = await generateKeywords(search, profile, anthropicKey);
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const merged = [...new Set([...search.keywords, ...aiKeywords])];
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console.log(`🤖 [${search.name}] ${search.keywords.length} → ${merged.length} keywords (AI-enhanced)`);
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search.keywords = merged;
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} catch (e) {
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console.warn(` [${search.name}] AI keywords failed, using static: ${e.message}`);
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}
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}
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saveKeywords('linkedin', search.name, search.keywords);
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saveKeywords('wellfound', search.name, search.keywords);
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}
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console.log('');
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// Group searches by platform
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const liSearches = searchConfig.searches.filter(s => s.platforms?.includes('linkedin'));
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const wfSearches = searchConfig.searches.filter(s => s.platforms?.includes('wellfound'));
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// --- LinkedIn ---
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if (liSearches.length > 0) {
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console.log('🔗 LinkedIn search...');
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let liBrowser;
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try {
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console.log(' Creating browser...');
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liBrowser = await createBrowser(settings, 'linkedin');
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console.log(' Browser connected, verifying login...');
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const loggedIn = await ensureLoggedIn(liBrowser.page, liLogin, 'linkedin', settings.kernel_api_key || process.env.KERNEL_API_KEY, settings.kernel?.connection_ids || {});
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if (!loggedIn) throw new Error('LinkedIn not logged in');
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console.log(' ✅ Logged in');
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for (const search of liSearches) {
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if (isCompleted('linkedin', search.name)) {
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console.log(` [${search.name}] ✓ already done, skipping`);
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continue;
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}
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const keywordStart = getKeywordStart('linkedin', search.name);
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if (keywordStart > 0) console.log(` [${search.name}] resuming from keyword ${keywordStart + 1}/${search.keywords.length}`);
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const effectiveSearch = { ...search, keywords: search.keywords.slice(keywordStart), keywordOffset: keywordStart, filters: { ...search.filters, posted_within_days: lookbackDays } };
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let queryFound = 0, queryAdded = 0;
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await searchLinkedIn(liBrowser.page, effectiveSearch, {
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onPage: (pageJobs) => {
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const added = addJobs(pageJobs);
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totalAdded += added;
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totalSeen += pageJobs.length;
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queryFound += pageJobs.length;
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queryAdded += added;
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process.stdout.write(`\r [${search.name}] ${queryFound} found, ${queryAdded} new...`);
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},
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onKeyword: (ki) => {
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markKeywordComplete('linkedin', search.name, keywordStart + ki);
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}
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});
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console.log(`\r [${search.name}] ${queryFound} found, ${queryAdded} new`);
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markComplete('linkedin', search.name, { found: queryFound, added: queryAdded });
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const tc = trackCounts[search.name] || (trackCounts[search.name] = { found: 0, added: 0 });
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tc.found += queryFound; tc.added += queryAdded;
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}
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platformsRun.push('LinkedIn');
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} catch (e) {
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console.error(` ❌ LinkedIn error: ${e.message}`);
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if (e.stack) console.error(` Stack: ${e.stack.split('\n').slice(1, 3).join(' | ').trim()}`);
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} finally {
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await liBrowser?.browser?.close().catch(() => {});
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}
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}
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// --- Wellfound ---
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if (wfSearches.length > 0) {
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console.log('\n🌐 Wellfound search...');
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let wfBrowser;
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try {
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console.log(' Creating browser...');
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wfBrowser = await createBrowser(settings, 'wellfound');
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console.log(' Browser connected, verifying login...');
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const loggedIn = await ensureLoggedIn(wfBrowser.page, wfLogin, 'wellfound', settings.kernel_api_key || process.env.KERNEL_API_KEY, settings.kernel?.connection_ids || {});
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if (!loggedIn) console.warn(' ⚠️ Wellfound login unconfirmed, proceeding');
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else console.log(' ✅ Logged in');
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for (const search of wfSearches) {
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if (isCompleted('wellfound', search.name)) {
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console.log(` [${search.name}] ✓ already done, skipping`);
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continue;
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}
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const effectiveSearch = { ...search, filters: { ...search.filters, posted_within_days: lookbackDays } };
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let queryFound = 0, queryAdded = 0;
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await searchWellfound(wfBrowser.page, effectiveSearch, {
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onPage: (pageJobs) => {
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const added = addJobs(pageJobs);
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totalAdded += added;
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totalSeen += pageJobs.length;
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queryFound += pageJobs.length;
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queryAdded += added;
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process.stdout.write(`\r [${search.name}] ${queryFound} found, ${queryAdded} new...`);
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}
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});
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console.log(`\r [${search.name}] ${queryFound} found, ${queryAdded} new`);
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markComplete('wellfound', search.name, { found: queryFound, added: queryAdded });
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const tc = trackCounts[search.name] || (trackCounts[search.name] = { found: 0, added: 0 });
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tc.found += queryFound; tc.added += queryAdded;
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}
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platformsRun.push('Wellfound');
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} catch (e) {
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console.error(` ❌ Wellfound error: ${e.message}`);
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if (e.stack) console.error(` Stack: ${e.stack.split('\n').slice(1, 3).join(' | ').trim()}`);
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} finally {
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await wfBrowser?.browser?.close().catch(() => {});
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}
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}
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// Summary
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const summary = formatSearchSummary(totalAdded, totalSeen - totalAdded, platformsRun, trackCounts);
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console.log(`\n${summary.replace(/\*/g, '')}`);
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if (totalAdded > 0) await sendTelegram(settings, summary).catch(() => {});
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writeLastRun(true);
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// Archive final progress snapshot before clearing (for audit — answers "what was searched?")
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const progressPath = resolve(__dir, 'data/search_progress.json');
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if (existsSync(progressPath)) {
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writeFileSync(resolve(__dir, 'data/search_progress_last.json'), readFileSync(progressPath, 'utf8'));
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}
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clearProgress(); // run finished cleanly — next run starts fresh with new keywords
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console.log('\n✅ Search complete');
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return { added: totalAdded, seen: totalSeen };
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}
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main().then(() => {
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process.exit(0);
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}).catch(e => {
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console.error('Fatal:', e.message);
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if (e.stack) console.error(e.stack);
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process.exit(1);
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});
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