p="content_graphic_variants.py"
src=open(p).read()
old='''    fit = (item.get("score_components") or {}).get("fit_hook_haupttext_cta")
    item["text_image_fit_10"] = score_to_10(fit if fit is not None else item["score_text_graphic"])
    return item'''
new='''    fit = (item.get("score_components") or {}).get("fit_hook_haupttext_cta")
    item["text_image_fit_10"] = score_to_10(fit if fit is not None else item["score_text_graphic"])
    item["focus_fit"] = _focus_fit_summary(item)
    return item


def _focus_fit_summary(item: dict[str, Any]) -> dict[str, Any]:
    """MAS-IG-CO2-FOCUS Punkt 5: Variantenkarten transparent machen.

    Liefert Themenfit (aus gespeichertem Themenfokus), Signalfit, Plattformfit
    und eine einzeilige Begründung für die UI-Anzeige je Medienvariante.
    """
    spec = item.get("creative_spec") if isinstance(item.get("creative_spec"), dict) else {}
    components = item.get("score_components") if isinstance(item.get("score_components"), dict) else {}
    focus = str(spec.get("topic_focus") or item.get("topic_focus") or "auto")
    label = str(spec.get("focus_label") or "") or "Automatisch"
    family = str(spec.get("topic_family") or "")
    signal_fit = _clamp(float(components.get("semantic_visual_fit") or components.get("motivqualität") or 0))
    platform_fit = _clamp(float(components.get("platform_fit") or 0))
    thewen = None
    if focus == "luftqualitaet_co2":
        negatives = (spec.get("focus_prompt_brief") or {}).get("negative_rules") or []
        thewen = "CO2-/Luftqualitätssemantik klar erkennbar" if "kein Schimmelhauptmotiv" in negatives else "Fokus Luftqualität / CO2"
    elif focus == "feuchte_schimmel":
        thewen = "Feuchte-/Schimmelbezug passend zum Fokus"
    elif focus == "lueftung":
        thewen = "Lüftungs-/Systembezug zum Fokus"
    elif focus == "gebaeude_diagnose":
        thewen = "diagnostischer Ansatz zum Fokus"
    elif focus == "energie_komfort":
        thewen = "Energie-/Komfortbezug zum Fokus"
    else:
        thewen = f"automatisch ermittelte Themenfamilie: {family or 'general'}"
    return {
        "themen_fit": label,
        "themen_family": family,
        "signal_fit": score_to_10(signal_fit),
        "platform_fit": score_to_10(platform_fit),
        "begruendung": thewen,
        "focus_value": focus,
    }'''
assert old in src, "row_to_dict marker not found"
src2=src.replace(old,new,1)
open(p,"w").write(src2)
print("content_graphic_variants focus_fit helper added OK")