test_complete_workflow.py

#!/usr/bin/env python3
"""
Test the complete AI job matching workflow
"""

from simple_job_search import SimpleJobSearch
import os

def test_complete_workflow():
    searcher = SimpleJobSearch()
    
    print("🧪 Testing Complete AI Job Matching Workflow")
    print("=" * 60)
    
    # Test 1: Resume parsing and job title extraction
    print("\n1️⃣ Testing Resume Parsing & Job Title Extraction")
    print("-" * 50)
    
    resume_file = 'sample_resume.docx'
    if os.path.exists(resume_file):
        resume_data = searcher.parse_resume(resume_file)
        print(f"✅ Resume parsed: {len(resume_data['skills'])} skills, {resume_data['experience_years']} years exp")
        
        # Test job title extraction
        extracted_title = searcher.extract_job_title_from_resume(resume_data)
        print(f"🤖 Auto-extracted job title: '{extracted_title}'")
        
        # Test 2: Job search with AI matching
        print(f"\n2️⃣ Testing Job Search with AI Matching")
        print("-" * 50)
        
        jobs = searcher.search_jobs(extracted_title, "India")
        print(f"📋 Found {len(jobs)} jobs")
        
        # Apply AI matching
        matched_jobs = searcher.rank_jobs_by_resume(jobs, resume_data)
        print(f"🤖 Applied AI matching and ranking")
        
        # Show top 3 matches
        print(f"\n🏆 Top 3 Job Matches:")
        for i, job in enumerate(matched_jobs[:3], 1):
            match_score = job.get('match_score', 0)
            match_category = job.get('match_category', 'No Match')
            skills_match = job.get('match_breakdown', {}).get('skills', {})
            
            print(f"\n{i}. {job['title']} at {job['company']}")
            print(f"   Match: {match_score}% ({match_category})")
            print(f"   Skills: {skills_match.get('matched_count', 0)}/{skills_match.get('total_job_skills', 0)} matching")
            if skills_match.get('matching'):
                print(f"   ✅ You have: {', '.join(skills_match['matching'][:5])}")
            if skills_match.get('missing'):
                print(f"   ❌ Missing: {', '.join(skills_match['missing'][:3])}")
        
        # Test 3: Low fit jobs (should still be shown)
        print(f"\n3️⃣ Testing Low Fit Jobs (Always Show)")
        print("-" * 50)
        
        low_fit_jobs = [job for job in matched_jobs if job.get('match_score', 0) < 40]
        print(f"📊 Jobs with <40% match: {len(low_fit_jobs)}")
        print(f"✅ All jobs shown regardless of match score")
        
        # Test 4: Sample jobs fallback
        print(f"\n4️⃣ Testing Sample Jobs Fallback")
        print("-" * 50)
        
        sample_jobs = searcher.get_sample_jobs_for_title("Machine Learning Engineer", "Bangalore")
        print(f"🎯 Generated {len(sample_jobs)} sample jobs")
        print(f"📝 Sample job: {sample_jobs[0]['title']} at {sample_jobs[0]['company']}")
        print(f"🛠️ Skills: {', '.join(sample_jobs[0]['skills'][:5])}")
        
    else:
        print(f"❌ Sample resume not found. Run 'python test_resume_sample.py' first.")

if __name__ == "__main__":
    test_complete_workflow()