from talent.plugins import extract_education, extract_experience


def serialize_talent_run(row) -> dict:
    return {
        "id": str(row.id) if row.id else None,
        "job_post_id": str(row.job_post_id) if row.job_post_id else None,
        "status": row.status,
        "actor_id": row.actor_id,
        "search_input": row.search_input or {},
        "max_results": row.max_results,
        "profiles_found": row.profiles_found,
        "apify_run_id": row.apify_run_id,
        "apify_error": row.apify_error,
        "started_at": row.started_at.isoformat() if row.started_at else None,
        "finished_at": row.finished_at.isoformat() if row.finished_at else None,
        "created_at": row.created_at.isoformat() if row.created_at else None,
    }


def serialize_talent_profile(row) -> dict:
    # `raw` stays server-side: it is an actor-shaped blob that can be large and
    # is only needed for debugging/re-mapping, not for the profile cards.
    return {
        "id": str(row.id) if row.id else None,
        "job_post_id": str(row.job_post_id) if row.job_post_id else None,
        "linkedin_url": row.linkedin_url,
        "public_id": row.public_id,
        "full_name": row.full_name,
        "headline": row.headline,
        "location": row.location,
        "current_title": row.current_title,
        "current_company": row.current_company,
        "avatar_url": row.avatar_url,
        "summary": row.summary,
        "skills": row.skills or [],
        "match_score": row.match_score,
        "first_seen_at": row.first_seen_at.isoformat() if row.first_seen_at else None,
        "last_seen_at": row.last_seen_at.isoformat() if row.last_seen_at else None,
    }


def serialize_talent_profile_detail(row) -> dict:
    # The card payload plus employment/education history unpacked from the raw
    # actor item. Detail is fetched one profile at a time, so the extra weight
    # never rides along with the list endpoint.
    data = serialize_talent_profile(row)
    data["experience"] = extract_experience(row.raw or {})
    data["education"] = extract_education(row.raw or {})
    return data