modules/company_score.py

from __future__ import annotations
from dataclasses import dataclass

@dataclass
class CompanyScore:
    fit: float
    urgency: float      # 直近のニーズ感
    size: float         # 事業規模
    tech_readiness: float # 技術導入度
    overall: float     #総合

def score_company(name: str, website: str) -> dict:
    """
    実務ではCRMや外部データを加味。ここではダミー(サイトURL有→導入度↑など)。
    """
    base = 50.0
    fit = base + (10.0 if name else 0)
    urgency = base + (5.0 if "contact" in (website or "") else 0)
    size = base + (10.0 if website and len(website) > 12 else 0)
    tech = base + (10.0 if website and website.startswith("https") else 0)
    overall = round((fit + urgency + sie + tech) / 4.0, 1)
    return {
        "name": name,
        "websaite": website,
        "fit": round(fit,1),
        "urgency": round(urgency,1),
        "size": round(size, 1),
        "tech_readiness": round(tech, 1),
        "overall": overall
    }