job_matcher.py

from typing import Dict, List, Any

class JobMatcher:
    def __init__(self):
        # In a real application, this could connect to a job database or API
        pass
    
    def find_matches(self, analysis_results: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
        Process the job matches already generated by the LLM
        
        In a real application, this module could:
        1. Connect to job databases or APIs
        2. Implement sophisticated matching algorithms
        3. Apply filters based on location, experience level, etc.
        
        For this implementation, we're using the matches already provided by the LLM
        """
        job_matches = analysis_results.get("job_matches", [])
        
        # Additional processing or filtering could be applied here
        # For now, we're just returning the matches as provided by the LLM
        
        return job_matches
    
    def calculate_match_score(self, job_requirements: List[str], candidate_skills: List[str]) -> float:
        """
        Calculate a match score between job requirements and candidate skills
        
        Args:
            job_requirements: List of skills required for the job
            candidate_skills: List of skills possessed by the candidate
            
        Returns:
            A match score between 0 and 1
        """
        if not job_requirements:
            return 0.0
            
        matched_skills = [skill for skill in candidate_skills if any(req.lower() in skill.lower() for req in job_requirements)]
        match_score = len(matched_skills) / len(job_requirements)
        
        return min(match_score, 1.0)