agent.py

# agent.py

from career_db import CAREER_DB
from scoring import calculate_score

def career_agent(user_profile):
    results = {}

    for career, data in CAREER_DB.items():
        score = calculate_score(
            user_profile["skills"],
            user_profile["preferences"],
            data
        )
        results[career] = score

    # Sort by score
    ranked = sorted(results.items(), key=lambda x: x[1], reverse=True)

    best_career = ranked[0][0]
    career_data = CAREER_DB[best_career]

    # Skill gap analysis
    missing_skills = [
        skill for skill in career_data["required_skills"]
        if skill not in user_profile["skills"]
    ]

    return {
        "recommended_career": best_career,
        "score": ranked[0][1],
        "missing_skills": missing_skills,
        "prep_focus": career_data["prep_focus"]
    }