feat: AI job filter — score jobs 0-10 with Claude Haiku before applying
- lib/filter.mjs: batch scoring engine (10 jobs/call, Claude Haiku) - job_filter.mjs: standalone CLI with --dry-run and --stats flags - Threshold configurable globally + per-search in search_config.json (filter_min_score, default 5) - Job profiles (gtm/ae) passed as context via settings.filter.job_profiles - Filtered jobs get status='filtered' with filter_score + filter_reason - Filter errors pass jobs through (never block applications) - status.mjs: added 'AI filtered' line to report
This commit is contained in:
171
lib/filter.mjs
Normal file
171
lib/filter.mjs
Normal file
@@ -0,0 +1,171 @@
|
||||
/**
|
||||
* filter.mjs — AI job relevance filter
|
||||
* Scores queued jobs 0-10 against candidate profile + job profiles using Claude Haiku
|
||||
* Jobs below filter_min_score are marked 'filtered' and skipped by the applier
|
||||
*/
|
||||
|
||||
import { readFileSync, existsSync } from 'fs';
|
||||
|
||||
const BATCH_SIZE = 10;
|
||||
const DESC_MAX_CHARS = 800;
|
||||
|
||||
function loadProfile(profilePath) {
|
||||
if (!profilePath || !existsSync(profilePath)) return null;
|
||||
try { return JSON.parse(readFileSync(profilePath, 'utf8')); } catch { return null; }
|
||||
}
|
||||
|
||||
function buildSystemPrompt(jobProfile, candidateProfile) {
|
||||
const tr = jobProfile.target_role;
|
||||
const exp = jobProfile.experience || {};
|
||||
const highlights = (exp.highlights || []).map(h => `- ${h}`).join('\n');
|
||||
|
||||
return `You are a job relevance scorer. Score each job 0-10 based on how well it matches this candidate.
|
||||
|
||||
## Candidate
|
||||
- Name: ${candidateProfile.name?.first} ${candidateProfile.name?.last}
|
||||
- Location: ${candidateProfile.location?.city}, ${candidateProfile.location?.state} (remote only, will not relocate)
|
||||
- Years in sales: ${candidateProfile.years_experience}
|
||||
- Desired salary: $${(candidateProfile.desired_salary || 0).toLocaleString()}
|
||||
- Background: ${(candidateProfile.cover_letter || '').substring(0, 300)}
|
||||
|
||||
## Target Role Criteria
|
||||
- Titles: ${(tr.titles || []).join(', ')}
|
||||
- Industries: ${(exp.industries || []).join(', ')}
|
||||
- Company stage: ${(tr.company_stage || []).join(', ') || 'any'}
|
||||
- Company size: ${tr.company_size || 'any'}
|
||||
- Salary minimum: $${(tr.salary_min || 0).toLocaleString()}
|
||||
- Remote only: ${tr.remote ? 'Yes' : 'No'}
|
||||
- Excluded keywords: ${(tr.exclude_keywords || []).join(', ')}
|
||||
|
||||
## Experience Highlights
|
||||
${highlights}
|
||||
|
||||
## Scoring Guide
|
||||
10 = Perfect match (exact title, right company stage, right industry, right salary range)
|
||||
7-9 = Strong match (right role type, maybe slightly off industry or stage)
|
||||
5-6 = Borderline (relevant but some mismatches — wrong industry, wrong seniority, or vague posting)
|
||||
3-4 = Weak match (mostly off target but some overlap)
|
||||
0-2 = Not relevant (wrong role type, wrong industry, recruiter spam, part-time, etc.)
|
||||
|
||||
Penalize heavily for:
|
||||
- Part-time roles
|
||||
- Wrong industry (insurance, healthcare PR, construction, retail, K-12 education, utilities)
|
||||
- Wrong role type (SDR/BDR, customer success, partnerships, marketing, coordinator)
|
||||
- Junior or entry-level
|
||||
- Staffing agency spam where no real company is named
|
||||
- Salary clearly below minimum`;
|
||||
}
|
||||
|
||||
function buildUserPrompt(jobs) {
|
||||
const jobList = jobs.map((j, i) => {
|
||||
const desc = (j.description || '').substring(0, DESC_MAX_CHARS).replace(/\s+/g, ' ').trim();
|
||||
return `JOB ${i + 1}
|
||||
Title: ${j.title}
|
||||
Company: ${j.company || 'Unknown'}
|
||||
Location: ${j.location || 'Unknown'}
|
||||
Description: ${desc}`;
|
||||
}).join('\n\n---\n\n');
|
||||
|
||||
return `Score each of the following ${jobs.length} jobs. Return ONLY a JSON array with one object per job in order:
|
||||
[{"score": 7, "reason": "one line explaining score"}, ...]
|
||||
|
||||
${jobList}`;
|
||||
}
|
||||
|
||||
async function filterBatch(jobs, jobProfile, candidateProfile, apiKey) {
|
||||
const res = await fetch('https://api.anthropic.com/v1/messages', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'x-api-key': apiKey,
|
||||
'anthropic-version': '2023-06-01'
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: 'claude-3-haiku-20240307',
|
||||
max_tokens: 1024,
|
||||
system: buildSystemPrompt(jobProfile, candidateProfile),
|
||||
messages: [{ role: 'user', content: buildUserPrompt(jobs) }]
|
||||
})
|
||||
});
|
||||
|
||||
if (!res.ok) throw new Error(`Anthropic API error: ${res.status} ${res.statusText}`);
|
||||
|
||||
const data = await res.json();
|
||||
if (data.error) throw new Error(data.error.message);
|
||||
|
||||
const text = data.content[0].text.trim();
|
||||
const clean = text.replace(/```json\n?|\n?```/g, '').trim();
|
||||
return JSON.parse(clean);
|
||||
}
|
||||
|
||||
/**
|
||||
* runFilter — score all new jobs and return results
|
||||
* @param {Array} jobs - jobs with status 'new'
|
||||
* @param {Object} searchConfig - search_config.json
|
||||
* @param {Object} settings - settings.json (needs settings.filter.job_profiles)
|
||||
* @param {Object} candidateProfile - profile.json
|
||||
* @param {string} apiKey - Anthropic API key
|
||||
* @param {Object} opts - { onProgress }
|
||||
* @returns {Array} [{ job, score, reason, pass, minScore }]
|
||||
*/
|
||||
export async function runFilter(jobs, searchConfig, settings, candidateProfile, apiKey, { onProgress } = {}) {
|
||||
const globalMin = searchConfig.filter_min_score ?? 5;
|
||||
|
||||
// Group jobs by track
|
||||
const byTrack = {};
|
||||
for (const job of jobs) {
|
||||
const track = job.track || 'ae';
|
||||
if (!byTrack[track]) byTrack[track] = [];
|
||||
byTrack[track].push(job);
|
||||
}
|
||||
|
||||
const results = [];
|
||||
|
||||
for (const [track, trackJobs] of Object.entries(byTrack)) {
|
||||
const searchEntry = (searchConfig.searches || []).find(s => s.track === track);
|
||||
const minScore = searchEntry?.filter_min_score ?? globalMin;
|
||||
|
||||
const profilePath = settings.filter?.job_profiles?.[track];
|
||||
const jobProfile = loadProfile(profilePath);
|
||||
|
||||
if (!jobProfile) {
|
||||
console.warn(`⚠️ No job profile configured for track "${track}" — passing ${trackJobs.length} jobs through unfiltered`);
|
||||
for (const job of trackJobs) {
|
||||
results.push({ job, score: null, reason: 'no_profile', pass: true, minScore });
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
let done = 0;
|
||||
for (let i = 0; i < trackJobs.length; i += BATCH_SIZE) {
|
||||
const batch = trackJobs.slice(i, i + BATCH_SIZE);
|
||||
|
||||
try {
|
||||
const scores = await filterBatch(batch, jobProfile, candidateProfile, apiKey);
|
||||
|
||||
for (let j = 0; j < batch.length; j++) {
|
||||
const job = batch[j];
|
||||
const result = scores[j] || { score: 5, reason: 'parse_error' };
|
||||
results.push({
|
||||
job,
|
||||
score: result.score,
|
||||
reason: result.reason,
|
||||
pass: result.score >= minScore,
|
||||
minScore
|
||||
});
|
||||
}
|
||||
} catch (err) {
|
||||
console.error(`\n Filter batch error (track: ${track}, batch ${i}–${i + batch.length}): ${err.message}`);
|
||||
// On error, pass jobs through — don't block applications
|
||||
for (const job of batch) {
|
||||
results.push({ job, score: null, reason: 'filter_error', pass: true, minScore });
|
||||
}
|
||||
}
|
||||
|
||||
done += batch.length;
|
||||
if (onProgress) onProgress(done, trackJobs.length, track);
|
||||
}
|
||||
}
|
||||
|
||||
return results;
|
||||
}
|
||||
Reference in New Issue
Block a user