from dataclasses import asdict
from typing import List

from src.models import CompanyRanking, JobMatch, ResumeProfile


def resume_profile_to_json(profile: ResumeProfile) -> dict:
    return asdict(profile)


def build_talking_points(rankings: List[CompanyRanking], matches: List[JobMatch], max_companies: int = 8) -> str:
    if not rankings:
        return "No strong matches found yet. Try a larger company list or resume with more role-specific keywords."

    lines = ["## Suggested Recruiter Talking Points", ""]
    match_map = {}
    for match in matches:
        match_map.setdefault(match.company, []).append(match)

    for rank in rankings[:max_companies]:
        company_matches = sorted(match_map.get(rank.company, []), key=lambda item: item.score, reverse=True)
        top = company_matches[0] if company_matches else None
        score_text = f"{rank.company_score:.1f}"

        lines.append(f"### {rank.company} (Fit Score: {score_text})")
        if top:
            lines.append(
                f"- I noticed your {top.title} role and my resume aligns through {top.explanation}."
            )
            lines.append(
                "- I can contribute quickly in internship/new-grad responsibilities and would love to discuss current hiring priorities."
            )
        else:
            lines.append("- Your company aligns with my career goals, and I would like to learn which early-career teams are hiring now.")
        lines.append("")

    return "\n".join(lines)