| from job_apply_ai.analyzer.ats_evaluator import ATSEvaluator |
| from dotenv import load_dotenv |
|
|
| load_dotenv() |
|
|
| def run_test(): |
| print("Initializing Evaluator...") |
| evaluator = ATSEvaluator() |
| |
| dummy_resume = "I am a software engineer with 5 years of experience in Python, Flask, and React." |
| dummy_jd = "Looking for a backend developer. Must know Python, Flask, Django, and SQL." |
| |
| print("Running evaluation (this will trigger the heavy model load)...") |
| result = evaluator.evaluate_fit(dummy_resume, dummy_jd) |
| |
| print("\n--- RESULTS ---") |
| print(f"Match Score: {result['match_score']}%") |
| print(f"Matched Skills: {result['matched_skills']}") |
| print(f"Missing Skills: {result['missing_skills']}") |
|
|
| if __name__ == "__main__": |
| run_test() |
