Add deep creative analysis: standalone script, dashboard tab, compact Slack scorecard

- analyze_creatives.py: nuevo script independiente que analiza visualmente todos los
  anuncios activos, detecta fatiga creativa (CTR 3d vs 7d) y compara creatividades
  dentro del mismo adset usando Claude Sonnet con visión
- agent.py: analyze_creative_deep() con métricas de rendimiento + detección de fatiga,
  compare_adset_creatives() para comparativa multi-imagen, fallback de descarga de
  imágenes por lista de URLs, prompts en español
- meta_ads_client.py: get_ads_with_creatives() incluye adset_id, image_url separado de
  thumbnail_url, y video_thumbnail_url via AdVideo.picture para vídeos
- baserow_client.py: get_all_creative_analyses() y get_creative_history_by_ad()
- dashboard.py: nueva pestaña Creatividades con tabla seleccionable, panel lateral con
  thumbnail + análisis + recomendaciones + gráfico de evolución del score
- slack_notifier.py: scorecard compacto (una línea por anuncio con acción breve),
  fix del límite de 50 bloques via flush proactivo antes de cada adset

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

agent.py

@@ -192,3 +192,181 @@ def analyze_creative(image_url: str, ad_name: str) -> dict:
         return {"score": 0, "analysis": "Error parsing creative analysis.", "recommendations": ""}
     except Exception as e:
         return {"score": 0, "analysis": f"Creative analysis failed: {e}", "recommendations": ""}
+
+
+CREATIVE_DEEP_SYSTEM = """
+IDIOMA: Responde SIEMPRE en español. Todos los campos del JSON deben estar en español.
+
+Eres un experto en análisis de creatividades de Meta Ads con conocimiento de neuromarketing y diseño persuasivo.
+Recibirás una imagen publicitaria junto con sus métricas de rendimiento reales.
+
+Evalúa considerando:
+1. CALIDAD VISUAL: claridad del mensaje, jerarquía visual, CTA, copy, atractivo y relevancia
+2. CORRELACIÓN CON RENDIMIENTO: ¿el CTR y CPL reales son consistentes con la calidad visual?
+3. SEÑAL DE FATIGA: si CTR 3d < CTR 7d × 0.75 indica saturación de audiencia
+4. RECOMENDACIONES: mejoras concretas y priorizadas para mejorar CTR y conversiones
+
+Devuelve SOLO JSON válido sin markdown (todos los textos en español):
+{
+  "score": 7.5,
+  "analysis": "análisis conciso en español: qué funciona, qué no, correlación con rendimiento real",
+  "recommendations": "mejoras concretas en español en orden de impacto esperado",
+  "fatigue": false,
+  "fatigue_reason": null
+}
+
+Score 1-10: 1-3 crítico (pausar), 4-5 bajo, 6-7 aceptable, 8-9 bueno, 10 excelente.
+Si el anuncio tiene buen rendimiento real (CPL bajo, CTR alto) pero diseño mediocre, sube el score.
+Si el diseño parece bueno pero el rendimiento es pobre, baja el score y explica la desconexión.
+"""
+
+CREATIVE_COMPARE_SYSTEM = """
+IDIOMA: Responde SIEMPRE en español. Todos los campos del JSON deben estar en español.
+
+Eres un experto en análisis comparativo de creatividades de Meta Ads.
+Recibirás varios anuncios del mismo adset con sus imágenes y métricas de rendimiento.
+Evalúa cuál funciona mejor considerando tanto calidad visual como rendimiento real.
+
+Devuelve SOLO JSON válido sin markdown (todos los textos en español):
+{
+  "winner": "nombre exacto del anuncio ganador",
+  "ranking": [
+    {"name": "nombre completo del anuncio", "rank": 1, "reason": "razón en español"}
+  ],
+  "insights": "observación comparativa clave en español: ¿qué diferencia visualmente al ganador del resto?"
+}
+"""
+
+
+def _download_image(image_url) -> tuple | None:
+    """Returns (base64_data, media_type) or None. Accepts str or list of URLs (tries in order)."""
+    urls = [image_url] if isinstance(image_url, str) else image_url
+    for url in urls:
+        if not url:
+            continue
+        try:
+            resp = requests.get(url, timeout=15)
+            resp.raise_for_status()
+            content_type = resp.headers.get("content-type", "image/jpeg")
+            if not content_type.startswith("image/"):
+                continue
+            data = base64.standard_b64encode(resp.content).decode("utf-8")
+            return data, content_type.split(";")[0]
+        except Exception:
+            continue
+    return None
+
+
+def _parse_json_response(raw: str) -> dict:
+    import re
+    clean = re.sub(r"```json\s*", "", raw.strip())
+    clean = re.sub(r"```\s*", "", clean).strip()
+    try:
+        return json.loads(clean)
+    except json.JSONDecodeError:
+        start, end = clean.find("{"), clean.rfind("}")
+        if start != -1 and end > start:
+            try:
+                return json.loads(clean[start:end + 1])
+            except json.JSONDecodeError:
+                pass
+    return {}
+
+
+def analyze_creative_deep(image_url: str, ad_name: str, metrics: dict) -> dict:
+    """Deep creative analysis combining visual quality with performance data and fatigue detection."""
+    _default = {"score": 0, "analysis": "", "recommendations": "", "fatigue": False, "fatigue_reason": None}
+
+    downloaded = _download_image(image_url)
+    if not downloaded:
+        return {**_default, "analysis": "Error descargando imagen."}
+    image_data, media_type = downloaded
+
+    ctr_7d = metrics.get("ctr_7d", 0)
+    ctr_3d = metrics.get("ctr_3d", 0)
+    fatigue_hint = ""
+    if ctr_7d > 0 and ctr_3d > 0 and ctr_3d < ctr_7d * 0.75:
+        fatigue_hint = f"\n⚠️ SEÑAL DE FATIGA DETECTADA: CTR cayó de {ctr_7d:.2f}% (7d) a {ctr_3d:.2f}% (3d) — posible saturación"
+
+    context = (
+        f'Anuncio: "{ad_name}"\n\n'
+        f"Métricas reales:\n"
+        f"- 7 días: gasto {metrics.get('spend_7d', 0):.0f}€, "
+        f"{metrics.get('leads_7d', 0)} leads, "
+        f"CPL {metrics.get('cpl_7d', 0):.2f}€, "
+        f"CTR {ctr_7d:.2f}%\n"
+        f"- 3 días: gasto {metrics.get('spend_3d', 0):.0f}€, "
+        f"{metrics.get('leads_3d', 0)} leads, "
+        f"CPL {metrics.get('cpl_3d', 0):.2f}€, "
+        f"CTR {ctr_3d:.2f}%\n"
+        f"- Objetivo CPL máximo: {metrics.get('max_cpl', 0):.2f}€"
+        f"{fatigue_hint}\n\n"
+        f"Analiza esta creatividad:"
+    )
+
+    try:
+        response = client.messages.create(
+            model="claude-sonnet-4-6",
+            max_tokens=700,
+            system=CREATIVE_DEEP_SYSTEM,
+            messages=[{
+                "role": "user",
+                "content": [
+                    {"type": "image", "source": {"type": "base64", "media_type": media_type, "data": image_data}},
+                    {"type": "text", "text": context},
+                ],
+            }],
+        )
+        result = _parse_json_response(response.content[0].text)
+        if not result:
+            return {**_default, "analysis": "Error parseando respuesta."}
+        result.setdefault("fatigue", False)
+        result.setdefault("fatigue_reason", None)
+        return result
+    except Exception as e:
+        return {**_default, "analysis": f"Error en análisis: {e}"}
+
+
+def compare_adset_creatives(ads: list) -> dict:
+    """Compare up to 4 ads within the same adset. ads: list of analyzed ad dicts."""
+    _default = {"winner": "", "ranking": [], "insights": "Sin datos suficientes para comparar."}
+
+    top_ads = sorted(ads, key=lambda x: -x.get("spend_7d", 0))[:4]
+    content_blocks = []
+
+    for i, ad in enumerate(top_ads, 1):
+        downloaded = _download_image(ad["image_url"])
+        if downloaded:
+            image_data, media_type = downloaded
+            content_blocks.append({
+                "type": "image",
+                "source": {"type": "base64", "media_type": media_type, "data": image_data},
+            })
+        fatigue_note = f" ⚠️ Fatiga: {ad.get('fatigue_reason','')}" if ad.get("fatigue") else ""
+        content_blocks.append({
+            "type": "text",
+            "text": (
+                f"Anuncio {i}: \"{ad['ad_name']}\"\n"
+                f"Score: {ad.get('score', 0):.1f}/10 | "
+                f"CTR 7d: {ad.get('ctr_7d', 0):.2f}% | "
+                f"CPL 7d: {ad.get('cpl_7d', 0):.2f}€ | "
+                f"Leads 7d: {ad.get('leads_7d', 0)} | "
+                f"Gasto 7d: {ad.get('spend_7d', 0):.0f}€"
+                f"{fatigue_note}"
+            ),
+        })
+
+    if not content_blocks:
+        return _default
+
+    try:
+        response = client.messages.create(
+            model="claude-sonnet-4-6",
+            max_tokens=600,
+            system=CREATIVE_COMPARE_SYSTEM,
+            messages=[{"role": "user", "content": content_blocks}],
+        )
+        result = _parse_json_response(response.content[0].text)
+        return result if result else _default
+    except Exception as e:
+        return {**_default, "insights": f"Error en comparativa: {e}"}

analyze_creatives.py

@@ -0,0 +1,213 @@
+"""
+Análisis profundo de creatividades de Meta Ads.
+Analiza visualmente cada anuncio activo, correlaciona con métricas de rendimiento,
+detecta fatiga creativa y compara anuncios dentro del mismo adset.
+
+Uso:
+    python analyze_creatives.py                             # todas las campañas
+    python analyze_creatives.py --campaign VIVIFUL_5        # filtrar por nombre
+    python analyze_creatives.py --no-slack                  # sin envío a Slack
+"""
+
+import argparse
+import sys
+import time
+from datetime import datetime
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+import config
+from meta_ads_client import MetaAdsClient
+from baserow_client import BaserowClient
+from agent import analyze_creative_deep, compare_adset_creatives
+from slack_notifier import send_creative_analysis_report
+
+
+def _get_max_cpl(campaign_name: str, verticals_data: dict) -> float:
+    name_lower = campaign_name.lower()
+    for vert_name, vert_cfg in verticals_data.items():
+        if vert_name.lower() in name_lower:
+            return float(vert_cfg.get("target_cpl") or 0)
+    return float(config.META_TARGET_CPL or 6.0)
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Deep creative analysis for Meta Ads")
+    parser.add_argument("--campaign", help="Filter campaigns by name substring (case-insensitive)")
+    parser.add_argument("--no-slack", action="store_true", help="Skip Slack report")
+    args = parser.parse_args()
+
+    meta = MetaAdsClient()
+    db   = BaserowClient()
+
+    print(f"\n{'='*60}")
+    print(f"  ANÁLISIS DE CREATIVIDADES — {datetime.now().strftime('%d/%m/%Y %H:%M')}")
+    print(f"{'='*60}\n")
+
+    # Active campaigns (last 7 days)
+    campaigns = meta.get_period_campaign_metrics(7)
+    if args.campaign:
+        campaigns = {k: v for k, v in campaigns.items()
+                     if args.campaign.upper() in v["name"].upper()}
+
+    if not campaigns:
+        print("No hay campañas activas en los últimos 7 días.")
+        return
+
+    print(f"→ {len(campaigns)} campañas a analizar\n")
+
+    verticals_data = {v["Nombre"]: v for v in db.get_all_verticals()}
+
+    all_results: dict = {}
+    total_analyzed = 0
+    total_errors   = 0
+
+    for cid, camp_metrics in campaigns.items():
+        campaign_name = camp_metrics["name"]
+        max_cpl       = _get_max_cpl(campaign_name, verticals_data)
+
+        print(f"  ● {campaign_name}  (objetivo CPL: {max_cpl:.2f}€)")
+
+        ads_with_creatives = meta.get_ads_with_creatives(cid)
+        if not ads_with_creatives:
+            print("    — sin anuncios activos con creatividades, omitiendo\n")
+            continue
+
+        # Metrics for both windows
+        ads_7d = {a["id"]: a for a in meta.get_period_ad_metrics(cid, 7)}
+        ads_3d = {a["id"]: a for a in meta.get_period_ad_metrics(cid, 3)}
+
+        # Adset name lookup from 7d metrics
+        adset_names = {a["id"]: a["name"] for a in meta.get_period_adset_metrics(cid, 7)}
+
+        # Group ads by adset
+        adset_groups: dict = {}
+        for ad in ads_with_creatives:
+            if not ad.get("thumbnail_url"):
+                continue
+            ad_id     = ad["ad_id"]
+            adset_id  = ad.get("adset_id", "unknown")
+            adset_name = adset_names.get(adset_id, adset_id)
+
+            m7 = ads_7d.get(ad_id, {})
+            m3 = ads_3d.get(ad_id, {})
+            metrics = {
+                "spend_7d": m7.get("spend", 0),
+                "leads_7d": m7.get("leads", 0),
+                "cpl_7d":   m7.get("cpl", 0),
+                "ctr_7d":   m7.get("ctr", 0),
+                "spend_3d": m3.get("spend", 0),
+                "leads_3d": m3.get("leads", 0),
+                "cpl_3d":   m3.get("cpl", 0),
+                "ctr_3d":   m3.get("ctr", 0),
+                "max_cpl":  max_cpl,
+            }
+
+            if adset_id not in adset_groups:
+                adset_groups[adset_id] = {"name": adset_name, "ads": []}
+            adset_groups[adset_id]["ads"].append({
+                "ad_id":      ad_id,
+                "ad_name":    ad["ad_name"],
+                "campaign_id": cid,
+                "adset_id":   adset_id,
+                "adset_name": adset_name,
+                # Fallback chain: signed thumbnail → permanent video picture → static image_url
+                "image_url":  [ad["thumbnail_url"], ad["video_thumbnail_url"], ad["image_url"]],
+                **metrics,
+            })
+
+        # Analyze each ad individually
+        analyzed_adsets: dict = {}
+        for adset_id, adset_data in adset_groups.items():
+            adset_name  = adset_data["name"]
+            analyzed_ads = []
+
+            for ad in adset_data["ads"]:
+                short_name = ad["ad_name"][:50]
+                print(f"    [{adset_name[:30]}] {short_name}...", end=" ", flush=True)
+
+                result = analyze_creative_deep(
+                    image_url=ad["image_url"],
+                    ad_name=ad["ad_name"],
+                    metrics={k: ad[k] for k in (
+                        "spend_7d", "leads_7d", "cpl_7d", "ctr_7d",
+                        "spend_3d", "leads_3d", "cpl_3d", "ctr_3d", "max_cpl"
+                    )},
+                )
+
+                score        = result.get("score", 0)
+                fatigue_flag = " ⚠️FATIGA" if result.get("fatigue") else ""
+                print(f"score={score:.1f}{fatigue_flag}")
+
+                ad_result = {**ad, **result}
+                analyzed_ads.append(ad_result)
+
+                # Save to Baserow
+                analysis_text = result.get("analysis", "")
+                if result.get("fatigue") and result.get("fatigue_reason"):
+                    analysis_text += f"\n\n⚠️ FATIGA CREATIVA: {result['fatigue_reason']}"
+
+                try:
+                    urls = ad["image_url"]
+                    saved_url = urls[0] if isinstance(urls, list) else urls
+                    db.save_creative_analysis({
+                        "ad_id":           ad["ad_id"],
+                        "ad_name":         ad["ad_name"],
+                        "campaign_id":     cid,
+                        "image_url":       saved_url,
+                        "analysis":        analysis_text,
+                        "score":           score,
+                        "recommendations": result.get("recommendations", ""),
+                    })
+                    total_analyzed += 1
+                except Exception as e:
+                    print(f"      [WARN] Baserow: {e}")
+                    total_errors += 1
+
+                time.sleep(0.3)
+
+            # Comparative analysis for adsets with 2+ ads
+            comparison = None
+            if len(analyzed_ads) >= 2:
+                print(f"    [comparativa] {adset_name[:40]}...", end=" ", flush=True)
+                comparison = compare_adset_creatives(analyzed_ads)
+                winner = comparison.get("winner", "")
+                print(f"ganador: {winner[:40]}")
+
+            analyzed_adsets[adset_id] = {
+                "name":       adset_name,
+                "ads":        analyzed_ads,
+                "comparison": comparison,
+            }
+
+        all_results[cid] = {
+            "name":    campaign_name,
+            "max_cpl": max_cpl,
+            "adsets":  analyzed_adsets,
+        }
+        print()
+
+    # Summary
+    total_ads     = sum(len(as_d["ads"]) for c in all_results.values() for as_d in c["adsets"].values())
+    total_fatigue = sum(
+        1 for c in all_results.values()
+        for as_d in c["adsets"].values()
+        for ad in as_d["ads"] if ad.get("fatigue")
+    )
+    print(f"{'='*60}")
+    print(f"  Finalizado: {len(all_results)} campañas, {total_ads} anuncios analizados")
+    if total_fatigue:
+        print(f"  ⚠️  {total_fatigue} anuncios con fatiga creativa detectada")
+    if total_errors:
+        print(f"  ⚠️  {total_errors} errores al guardar en Baserow")
+    print(f"{'='*60}\n")
+
+    # Slack report
+    if not args.no_slack and all_results:
+        print("→ Enviando informe a Slack...")
+        send_creative_analysis_report(all_results)
+        print("  ✓ Informe enviado.")
+
+
+if __name__ == "__main__":
+    main()

baserow_client.py

@@ -116,6 +116,30 @@ class BaserowClient:
 
     # ── creative_analyses ─────────────────────────────────────────────────────
 
+    def get_all_creative_analyses(self, filters: dict = None) -> list:
+        """Returns creative analyses from Baserow, up to 200 rows."""
+        params = {"user_field_names": "true", "page_size": 200, "order_by": "-created_at"}
+        if filters:
+            params.update(filters)
+        try:
+            resp = requests.get(
+                self._url(config.BASEROW_TABLE_CREATIVES),
+                headers=self._headers, params=params, timeout=15,
+            )
+            if not resp.ok:
+                return []
+            return resp.json().get("results", [])
+        except requests.RequestException:
+            return []
+
+    def get_creative_history_by_ad(self, ad_id: str) -> list:
+        """Returns all analyses for an ad_id sorted by date ascending (for score evolution)."""
+        rows = self._get_rows(
+            config.BASEROW_TABLE_CREATIVES,
+            {"filter__ad_id__equal": ad_id},
+        )
+        return sorted(rows, key=lambda r: r.get("created_at", ""))
+
     def save_creative_analysis(self, analysis: dict) -> dict:
         return self._create_row(config.BASEROW_TABLE_CREATIVES, {
             "ad_id":           analysis["ad_id"],

dashboard.py

@@ -170,7 +170,7 @@ st.divider()
 
 # ── Tabs ──────────────────────────────────────────────────────────────────────
 
-tab1, tab2, tab3, tab4 = st.tabs(["📅 Por día", "📊 Campañas", "🏷️ Verticales", "🗂️ Histórico"])
+tab1, tab2, tab3, tab4, tab5 = st.tabs(["📅 Por día", "📊 Campañas", "🏷️ Verticales", "🗂️ Histórico", "🎨 Creatividades"])
 
 
 # ── Tab 1: Por día ────────────────────────────────────────────────────────────
@@ -473,3 +473,131 @@ with tab4:
                                 st.write(f"_{a['evaluacion']}_")
                             if a.get("recomendacion"):
                                 st.write(f"→ {a['recomendacion']}")
+
+
+# ── Tab 5: Creatividades ──────────────────────────────────────────────────────
+with tab5:
+    @st.cache_data(ttl=300, show_spinner="Cargando análisis de creatividades...")
+    def _load_creatives():
+        return BaserowClient().get_all_creative_analyses()
+
+    creatives_raw = _load_creatives()
+
+    if not creatives_raw:
+        st.info("No hay análisis de creatividades. Ejecuta `python analyze_creatives.py` para generar datos.")
+        st.stop()
+
+    # Build dataframe
+    df_all = pd.DataFrame(creatives_raw)
+    df_all["score"]      = pd.to_numeric(df_all.get("score", 0), errors="coerce").fillna(0)
+    df_all["created_at"] = df_all.get("created_at", pd.Series(dtype=str))
+
+    # ── Filters ───────────────────────────────────────────────────────────────
+    f1, f2, f3 = st.columns([2, 2, 2])
+
+    dates_available = sorted(df_all["created_at"].dropna().unique(), reverse=True)
+    sel_date = f1.selectbox("Fecha análisis", dates_available)
+
+    camp_ids = sorted(df_all["campaign_id"].dropna().unique().tolist()) if "campaign_id" in df_all.columns else []
+    sel_camp = f2.selectbox("Campaña", ["Todas"] + camp_ids)
+
+    score_min = f3.slider("Score mínimo", 0.0, 10.0, 0.0, step=0.5)
+
+    # Apply filters
+    df = df_all.copy()
+    if sel_date:
+        df = df[df["created_at"] == sel_date]
+    if sel_camp != "Todas" and "campaign_id" in df.columns:
+        df = df[df["campaign_id"] == sel_camp]
+    if score_min > 0:
+        df = df[df["score"] >= score_min]
+
+    # ── KPIs ──────────────────────────────────────────────────────────────────
+    scored_df = df[df["score"] > 0]
+    avg_sc    = round(scored_df["score"].mean(), 1) if not scored_df.empty else 0.0
+    fatigue_n = int(df["analysis"].str.contains("FATIGA", na=False).sum()) if "analysis" in df.columns else 0
+    last_run  = df_all["created_at"].max() if not df_all.empty else "—"
+
+    k1, k2, k3, k4 = st.columns(4)
+    k1.metric("Anuncios", len(df))
+    k2.metric("Score medio", f"{avg_sc}/10")
+    k3.metric("Con fatiga", fatigue_n)
+    k4.metric("Última ejecución", last_run)
+
+    # ── Fatigue alerts ────────────────────────────────────────────────────────
+    if fatigue_n:
+        fatigued = df[df["analysis"].str.contains("FATIGA", na=False)]
+        with st.expander(f"⚠️ {fatigue_n} anuncios con fatiga creativa", expanded=True):
+            for _, row in fatigued.iterrows():
+                st.warning(f"**{row.get('ad_name', '—')}** — Score {row.get('score', 0):.1f}/10")
+
+    st.divider()
+
+    # ── Table + Detail panel ──────────────────────────────────────────────────
+    rename_map = {
+        "campaign_id":     "Campaña ID",
+        "ad_name":         "Anuncio",
+        "score":           "Score",
+        "created_at":      "Fecha",
+        "analysis":        "Análisis",
+        "recommendations": "Recomendaciones",
+    }
+    display_cols = [c for c in rename_map if c in df.columns]
+    df_display   = df[display_cols].rename(columns=rename_map).reset_index(drop=True)
+
+    col_table, col_detail = st.columns([3, 2])
+
+    with col_table:
+        st.caption("Haz clic en una fila para ver el detalle →")
+        event = st.dataframe(
+            df_display,
+            use_container_width=True,
+            selection_mode="single-row",
+            on_select="rerun",
+            column_config={
+                "Score": st.column_config.ProgressColumn(
+                    "Score", min_value=0, max_value=10, format="%.1f"
+                ),
+            },
+            hide_index=True,
+        )
+        selected_rows = event.selection.rows if hasattr(event, "selection") else []
+
+    with col_detail:
+        if selected_rows:
+            row = df.iloc[selected_rows[0]]
+            score = float(row.get("score", 0))
+            sc_emoji = "🟢" if score >= 8 else "🟡" if score >= 6 else "🟠" if score >= 4 else "🔴"
+
+            st.markdown(f"### {row.get('ad_name', '—')}")
+            st.markdown(f"{sc_emoji} **Score: {score:.1f} / 10**")
+
+            img_url = str(row.get("image_url", ""))
+            if img_url.startswith("http"):
+                try:
+                    st.image(img_url, use_container_width=True)
+                except Exception:
+                    st.caption("_Imagen no disponible_")
+
+            analysis = str(row.get("analysis", ""))
+            if analysis:
+                st.markdown("**Análisis**")
+                st.write(analysis)
+
+            rec = str(row.get("recommendations", ""))
+            if rec:
+                st.markdown("**Recomendaciones**")
+                st.info(rec)
+
+            # Score evolution across runs
+            ad_id = str(row.get("ad_id", ""))
+            if ad_id:
+                history = BaserowClient().get_creative_history_by_ad(ad_id)
+                if len(history) >= 2:
+                    st.markdown("**Evolución del score**")
+                    hist_df = pd.DataFrame(history)[["created_at", "score"]].dropna()
+                    hist_df["score"] = pd.to_numeric(hist_df["score"], errors="coerce")
+                    hist_df = hist_df[hist_df["score"] > 0].set_index("created_at")
+                    st.line_chart(hist_df)
+        else:
+            st.info("← Selecciona un anuncio en la tabla para ver el detalle.")

meta_ads_client.py

@@ -9,6 +9,7 @@ from facebook_business.adobjects.campaign import Campaign
 from facebook_business.adobjects.adset import AdSet
 from facebook_business.adobjects.ad import Ad
 from facebook_business.adobjects.adcreative import AdCreative
+from facebook_business.adobjects.advideo import AdVideo
 import config
 from datetime import datetime, timedelta
 
@@ -209,30 +210,45 @@ class MetaAdsClient:
         """
         campaign = Campaign(campaign_id)
         ads = campaign.get_ads(
-            fields=[Ad.Field.id, Ad.Field.name, Ad.Field.status, Ad.Field.creative],
+            fields=[Ad.Field.id, Ad.Field.name, Ad.Field.status, Ad.Field.creative, "adset_id"],
             params={"effective_status": ["ACTIVE"]},
         )
 
         result = []
         for ad in ads:
-            creative_ref = ad.get("creative", {})
-            creative_id  = creative_ref.get("id") if creative_ref else None
-            thumbnail    = ""
+            creative_ref        = ad.get("creative", {})
+            creative_id         = creative_ref.get("id") if creative_ref else None
+            thumbnail_url       = ""
+            image_url           = ""
+            video_thumbnail_url = ""
 
             if creative_id:
                 try:
                     creative = AdCreative(creative_id).api_get(
-                        fields=["thumbnail_url", "image_url"]
+                        fields=["thumbnail_url", "image_url", "video_id"]
                     )
-                    thumbnail = creative.get("thumbnail_url") or creative.get("image_url", "")
+                    thumbnail_url = creative.get("thumbnail_url", "")
+                    image_url     = creative.get("image_url", "")
+                    video_id      = creative.get("video_id", "")
+
+                    # For video creatives: fetch a permanent thumbnail via AdVideo.picture
+                    if video_id and not image_url:
+                        try:
+                            vdata = AdVideo(video_id).api_get(fields=["picture"])
+                            video_thumbnail_url = vdata.get("picture", "")
+                        except Exception:
+                            pass
                 except Exception:
                     pass
 
             result.append({
-                "ad_id":         ad["id"],
-                "ad_name":       ad["name"],
-                "campaign_id":   campaign_id,
-                "thumbnail_url": thumbnail,
+                "ad_id":               ad["id"],
+                "ad_name":             ad["name"],
+                "campaign_id":         campaign_id,
+                "adset_id":            ad.get("adset_id", ""),
+                "thumbnail_url":       thumbnail_url,
+                "image_url":           image_url,
+                "video_thumbnail_url": video_thumbnail_url,
             })
 
         return result

slack_notifier.py

@@ -157,14 +157,12 @@ def _adset_ad_table(items: list, label: str, show_bid: bool = False, show_7d: bo
     return "\n".join(lines)
 
 
-def _vertical_status_emoji(v_cpl: float, v_obj: float, has_action: bool) -> str:
+def _vert_status(v_cpl: float, v_obj: float, has_issues: bool) -> str:
     if v_cpl == 0 or v_obj == 0:
         return "⚪"
-    if v_cpl <= v_obj:
-        return "⚠️" if has_action else "✅"
-    if v_cpl <= v_obj * 1.3:
-        return "⚠️"
-    return "❌"
+    if has_issues:
+        return "🚨" if v_cpl > v_obj * 1.3 else "⚠️"
+    return "✅" if v_cpl <= v_obj else "⚠️"
 
 
 def send_daily_report(
@@ -186,33 +184,34 @@ def send_daily_report(
     prefix     = config.META_CAMPAIGN_PREFIX
     mode_label = "DRY RUN" if mode == "DRY_RUN" else "PRODUCCIÓN"
 
-    action_map   = {a["campaign_name"]: a for a in actions}
-    details_map  = campaign_details or {}
-    name_to_cid  = {d["name"]: cid for cid, d in details_map.items()}
-
-    # ── Classify campaigns: issues vs OK ─────────────────────────────────────
-    camps_issues: dict = {}   # name → (cid, detail, action_or_None)
-    camps_ok:     dict = {}   # name → (cid, detail)
+    action_map  = {a["campaign_name"]: a for a in actions}
+    details_map = campaign_details or {}
 
+    # Group ALL campaigns by vertical
+    by_vertical: dict = {}
     for cid, detail in details_map.items():
-        name = detail["name"]
-        act  = action_map.get(name)
-        has_action   = bool(act and act["action_type"] != "MAINTAIN")
-        has_ad_pause = any(
-            ad.get("accion") == "PAUSE" and ad.get("row_id")
-            for ad in detail.get("ads", [])
+        act = action_map.get(detail["name"])
+        by_vertical.setdefault(detail["vertical"], []).append((cid, detail, act))
+
+    def _has_issues(camp_list):
+        return any(
+            (act and act["action_type"] != "MAINTAIN") or
+            any(ad.get("accion") == "PAUSE" and ad.get("row_id")
+                for ad in detail.get("ads", []))
+            for _, detail, act in camp_list
         )
-        if has_action or has_ad_pause:
-            camps_issues[name] = (cid, detail, act)
-        else:
-            camps_ok[name] = (cid, detail)
 
-    # Group issues by vertical
-    by_vertical_issues: dict = {}
-    for name, (cid, detail, act) in camps_issues.items():
-        by_vertical_issues.setdefault(detail["vertical"], []).append((cid, detail, act))
+    # Sort verticals: issues first (by margin asc), then OK (by margin desc)
+    def _vert_sort_key(item):
+        v, cl = item
+        v_data  = (verticals or {}).get(v, {})
+        margin  = v_data.get("margin", 0)
+        has_iss = _has_issues(cl)
+        return (0 if has_iss else 1, margin if has_iss else -margin)
 
-    # ── Message 1: Executive dashboard ───────────────────────────────────────
+    sorted_verticals = sorted(by_vertical.items(), key=_vert_sort_key)
+
+    # ── Message 1: Dashboard ─────────────────────────────────────────────────
     blocks: list = [
         {
             "type": "header",
@@ -228,12 +227,12 @@ def send_daily_report(
             if monthly_verticals else []
         )
         cw = 7
-        header = f"{'Día':<5} {'Gasto':>6} {'Leads':>5} {'CPL':>7}"
+        hdr = f"{'Día':<5} {'Gasto':>6} {'Leads':>5} {'CPL':>7}"
         for v in v_order:
-            header += f" {v[:6]:>{cw}}"
-        header += "  Est"
-        sep = "─" * len(header)
-        lines = [header, sep]
+            hdr += f" {v[:6]:>{cw}}"
+        hdr += "  Est"
+        sep = "─" * len(hdr)
+        lines = [hdr, sep]
         total_spend = total_leads = total_margin = 0.0
         total_v = {v: 0.0 for v in v_order}
         for d in daily_totals:
@@ -276,111 +275,31 @@ def send_daily_report(
 
     # Vertical scorecard
     if verticals:
-        lines = [f"{'Vertical':<16} {'Gasto':>6} {'Leads':>5} {'CPL':>7} {'Obj':>7} {'Margen':>9}"]
-        lines.append("─" * 58)
-        for v, data in sorted(verticals.items(), key=lambda x: -x[1]["margin"]):
-            v_leads = data["leads"]
-            v_spend = data["spend"]
+        lines = [f"{'':>2} {'Vertical':<14} {'Gasto':>6} {'Leads':>5} {'CPL':>7} {'Obj':>7} {'Margen':>9}"]
+        lines.append("─" * 60)
+        for v, cl in sorted_verticals:
+            data    = (verticals or {}).get(v, {})
+            v_leads = data.get("leads", 0)
+            v_spend = data.get("spend", 0)
             v_cpl   = round(v_spend / v_leads, 2) if v_leads > 0 else 0.0
-            v_m     = data["margin"]
+            v_m     = data.get("margin", 0)
             v_obj   = data.get("target_cpl", 0)
             m_sign  = f"+{v_m:.0f}€" if v_m >= 0 else f"{v_m:.0f}€"
             obj_str = f"{v_obj:.2f}€" if v_obj else "     —"
-            has_act = v in by_vertical_issues
-            st      = _vertical_status_emoji(v_cpl, v_obj, has_act)
+            st      = _vert_status(v_cpl, v_obj, _has_issues(cl))
             lines.append(
                 f"{st} {v:<14} {v_spend:>5.0f}€ {v_leads:>5} {v_cpl:>6.2f}€ {obj_str:>7} {m_sign:>9}"
             )
         blocks.append({
             "type": "section",
             "text": {"type": "mrkdwn",
-                     "text": "*Verticales · ayer*\n```" + "\n".join(lines) + "```"},
-        })
-
-    # Actions section
-    if actions:
-        blocks.append({"type": "divider"})
-        blocks.append({
-            "type": "section",
-            "text": {"type": "mrkdwn", "text": "*🚨 Acciones recomendadas*"},
-        })
-        for act in actions:
-            atype        = act["action_type"]
-            emoji, alabel = _ACTION_DISPLAY.get(atype, ("⚪", atype))
-            cid          = name_to_cid.get(act["campaign_name"])
-            bid_cfg      = details_map.get(cid, {}).get("bid_config", {}) if cid else {}
-            budget       = bid_cfg.get("daily_budget_eur")
-            text         = f"{emoji} *{act['campaign_name'][:60]}*  →  *{alabel}*"
-            if act.get("justification"):
-                text += f"\n_{act['justification'][:200]}_"
-            if act.get("alert"):
-                text += f"\n:warning: {act['alert'][:150]}"
-            effect = _effect_text(act, budget)
-            if effect:
-                text += f"\n{effect}"
-            blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": text}})
-            if atype in _ACTIONABLE:
-                blocks.append({
-                    "type": "actions",
-                    "elements": [
-                        {
-                            "type": "button",
-                            "text": {"type": "plain_text", "text": "✅ Aprobar"},
-                            "style": "primary",
-                            "value": f"approve:{act['row_id']}",
-                            "action_id": f"approve_{act['row_id']}",
-                        },
-                        {
-                            "type": "button",
-                            "text": {"type": "plain_text", "text": "❌ Rechazar"},
-                            "style": "danger",
-                            "value": f"reject:{act['row_id']}",
-                            "action_id": f"reject_{act['row_id']}",
-                        },
-                    ],
-                })
-
-    # Ad pause count notice
-    total_ad_pauses = sum(
-        1 for _, detail, _ in camps_issues.values()
-        for ad in detail.get("ads", [])
-        if ad.get("accion") == "PAUSE" and ad.get("row_id")
-    )
-    if total_ad_pauses > 0:
-        noun = "anuncio" if total_ad_pauses == 1 else "anuncios"
-        blocks.append({
-            "type": "context",
-            "elements": [{"type": "mrkdwn",
-                          "text": f"⛔ {total_ad_pauses} {noun} recomendados para pausar — ver detalle por vertical"}],
-        })
-
-    # "Todo en orden" summary — grouped by vertical
-    if camps_ok:
-        blocks.append({"type": "divider"})
-        ok_by_v: dict = {}
-        for name, (_, detail) in camps_ok.items():
-            ok_by_v.setdefault(detail["vertical"], []).append((name, detail))
-        ok_lines = ["*Todo en orden*"]
-        for vert in sorted(ok_by_v.keys()):
-            v_data  = (verticals or {}).get(vert, {})
-            v_spend = v_data.get("spend", 0)
-            v_leads = v_data.get("leads", 0)
-            v_cpl   = round(v_spend / v_leads, 2) if v_leads > 0 else 0.0
-            v_obj   = v_data.get("target_cpl", 0)
-            ok_lines.append(f"\n✅ *{vert.upper()}*  ·  CPL {v_cpl:.2f}€  obj {v_obj:.2f}€")
-            for name, detail in sorted(ok_by_v[vert], key=lambda x: -x[1].get("spend_1d", 0)):
-                ok_lines.append(
-                    f"   • {name}  ·  "
-                    f"{detail.get('spend_1d', 0):.0f}€ / {detail.get('leads_1d', 0)} leads ayer"
-                )
-        blocks.append({
-            "type": "section",
-            "text": {"type": "mrkdwn", "text": "\n".join(ok_lines)},
+                     "text": "*Resumen · ayer*\n```" + "\n".join(lines) + "```"},
         })
 
     blocks.append({
         "type": "context",
-        "elements": [{"type": "mrkdwn", "text": f"{campaigns_analyzed} campañas analizadas"}],
+        "elements": [{"type": "mrkdwn",
+                      "text": f"{campaigns_analyzed} campañas analizadas — detalle por vertical a continuación"}],
     })
 
     result = _post(
@@ -391,8 +310,8 @@ def send_daily_report(
     )
     ts = result.get("ts")
 
-    # ── Messages 2-N: one per vertical with issues ────────────────────────────
-    for v, camp_list in sorted(by_vertical_issues.items()):
+    # ── One message per vertical ──────────────────────────────────────────────
+    for v, camp_list in sorted_verticals:
         v_data   = (verticals or {}).get(v, {})
         v_spend  = v_data.get("spend", 0)
         v_leads  = v_data.get("leads", 0)
@@ -401,11 +320,13 @@ def send_daily_report(
         v_margin = v_data.get("margin", 0)
         m_str    = f"+{v_margin:.0f}€" if v_margin >= 0 else f"{v_margin:.0f}€"
         obj_str  = f" · obj {v_obj:.2f}€" if v_obj else ""
+        has_iss  = _has_issues(camp_list)
+        st       = _vert_status(v_cpl, v_obj, has_iss)
 
         v_blocks: list = [
             {
                 "type": "header",
-                "text": {"type": "plain_text", "text": f"📊 {v.upper()}"},
+                "text": {"type": "plain_text", "text": f"{st} {v.upper()}"},
             },
             {
                 "type": "section",
@@ -417,6 +338,7 @@ def send_daily_report(
                     ),
                 },
             },
+            {"type": "divider"},
         ]
 
         for i, (cid, detail, act) in enumerate(
@@ -424,79 +346,205 @@ def send_daily_report(
         ):
             if i > 0:
                 v_blocks.append({"type": "divider"})
-            name     = detail["name"]
-            spend_1d = detail.get("spend_1d", 0.0)
-            leads_1d = detail.get("leads_1d", 0)
-            margin   = detail["margin"]
-            m_str2   = f"+{margin:.2f}€" if margin >= 0 else f"{margin:.2f}€"
-            adsets   = detail.get("adsets", [])
-            ads      = detail.get("ads", [])
-            bid_cfg  = detail.get("bid_config", {})
-            budget   = bid_cfg.get("daily_budget_eur")
-            strategy = bid_cfg.get("bid_strategy", "")
+
+            name        = detail["name"]
+            spend_1d    = detail.get("spend_1d", 0.0)
+            leads_1d    = detail.get("leads_1d", 0)
+            margin      = detail["margin"]
+            m_str2      = f"+{margin:.2f}€" if margin >= 0 else f"{margin:.2f}€"
+            adsets      = detail.get("adsets", [])
+            ads         = detail.get("ads", [])
+            bid_cfg     = detail.get("bid_config", {})
+            budget      = bid_cfg.get("daily_budget_eur")
+            strategy    = bid_cfg.get("bid_strategy", "")
             strat_label = _STRATEGY_LABELS.get(strategy, strategy or "—")
+            atype       = act["action_type"] if act else "MAINTAIN"
+            cemoji, alabel = _ACTION_DISPLAY.get(atype, ("⚪", atype))
 
-            atype        = act["action_type"] if act else "MAINTAIN"
-            emoji, alabel = _ACTION_DISPLAY.get(atype, ("⚪", atype))
-
-            camp_text = (
-                f"{emoji} *{name}*\n"
-                f"Ayer: {spend_1d:.0f}€ / {leads_1d} leads · Margen: {m_str2} · "
-                f"`{strat_label}`" + (f" · {budget:.0f}€/día" if budget else "") +
-                f"\n*{alabel}*"
-            )
-            if act and act.get("justification"):
-                camp_text += f" — _{act['justification'][:160]}_"
-            if act and act.get("alert"):
-                camp_text += f"\n:warning: {act['alert'][:130]}"
-
-            v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": camp_text}})
-
-            # Approve/Reject buttons for campaign action
-            if act and atype in _ACTIONABLE:
-                effect = _effect_text(act, budget)
-                if effect:
-                    v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": effect}})
+            if atype == "MAINTAIN" and not any(
+                ad.get("accion") == "PAUSE" and ad.get("row_id") for ad in ads
+            ):
+                # Compact header for clean campaigns
                 v_blocks.append({
-                    "type": "actions",
-                    "elements": [
-                        {
-                            "type": "button",
-                            "text": {"type": "plain_text", "text": "✅ Aprobar"},
-                            "style": "primary",
-                            "value": f"approve:{act['row_id']}",
-                            "action_id": f"approve_{act['row_id']}",
-                        },
-                        {
-                            "type": "button",
-                            "text": {"type": "plain_text", "text": "❌ Rechazar"},
-                            "style": "danger",
-                            "value": f"reject:{act['row_id']}",
-                            "action_id": f"reject_{act['row_id']}",
-                        },
-                    ],
+                    "type": "section",
+                    "text": {
+                        "type": "mrkdwn",
+                        "text": (
+                            f"{cemoji} *{name}*\n"
+                            f"Ayer: {spend_1d:.0f}€ / {leads_1d} leads · "
+                            f"Margen: {m_str2} · `{strat_label}`"
+                            + (f" · {budget:.0f}€/día" if budget else "")
+                        ),
+                    },
                 })
+                # Still show adset breakdown for context
+                if adsets:
+                    tbl = _adset_ad_table(adsets[:3], "Conjuntos (3 días)", show_bid=True)
+                    if tbl:
+                        for chunk in [tbl[j:j+2900] for j in range(0, len(tbl), 2900)]:
+                            v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": chunk}})
+            else:
+                # Full block for campaigns with action or ad pauses
+                camp_text = (
+                    f"{cemoji} *{name}*\n"
+                    f"Ayer: {spend_1d:.0f}€ / {leads_1d} leads · Margen: {m_str2} · "
+                    f"`{strat_label}`" + (f" · {budget:.0f}€/día" if budget else "") +
+                    f"\n*{alabel}*"
+                )
+                if act and act.get("justification"):
+                    camp_text += f" — _{act['justification'][:160]}_"
+                if act and act.get("alert"):
+                    camp_text += f"\n:warning: {act['alert'][:130]}"
+                v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": camp_text}})
 
-            # Adset table — top 3, only for non-MAINTAIN campaigns
-            if atype != "MAINTAIN" and adsets:
-                adset_table = _adset_ad_table(adsets[:3], "Conjuntos de anuncios (3 días)", show_bid=True)
-                if adset_table:
-                    for chunk in [adset_table[i:i+2900] for i in range(0, len(adset_table), 2900)]:
-                        v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": chunk}})
+                # Approve/Reject buttons
+                if act and atype in _ACTIONABLE:
+                    effect = _effect_text(act, budget)
+                    if effect:
+                        v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": effect}})
+                    v_blocks.append({
+                        "type": "actions",
+                        "elements": [
+                            {
+                                "type": "button",
+                                "text": {"type": "plain_text", "text": "✅ Aprobar"},
+                                "style": "primary",
+                                "value": f"approve:{act['row_id']}",
+                                "action_id": f"approve_{act['row_id']}",
+                            },
+                            {
+                                "type": "button",
+                                "text": {"type": "plain_text", "text": "❌ Rechazar"},
+                                "style": "danger",
+                                "value": f"reject:{act['row_id']}",
+                                "action_id": f"reject_{act['row_id']}",
+                            },
+                        ],
+                    })
 
-            # Ad pause buttons
-            v_blocks.extend(_ad_action_blocks(ads))
+                # Adset table (top 3) — only for non-MAINTAIN
+                if atype != "MAINTAIN" and adsets:
+                    tbl = _adset_ad_table(adsets[:3], "Conjuntos (3 días)", show_bid=True)
+                    if tbl:
+                        for chunk in [tbl[j:j+2900] for j in range(0, len(tbl), 2900)]:
+                            v_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": chunk}})
+
+                # Ad pause buttons
+                v_blocks.extend(_ad_action_blocks(ads))
 
         _post(
             "chat.postMessage",
             channel=config.SLACK_CHANNEL_ID,
             blocks=v_blocks,
-            text=f"Detalle vertical: {v}",
+            text=f"{v.upper()} · {v_spend:.0f}€ · {v_leads} leads",
         )
 
     return ts
 
 
+def _score_emoji(score: float) -> str:
+    if score >= 8:  return "🟢"
+    if score >= 6:  return "🟡"
+    if score >= 4:  return "🟠"
+    return "🔴"
+
+
+def _brief_action(score: float, fatigue: bool) -> str:
+    if score == 0:  return "sin imagen"
+    if fatigue:     return "renovar urgente"
+    if score >= 8:  return "mantener"
+    if score >= 6:  return "optimizar"
+    if score >= 4:  return "renovar"
+    return "reemplazar"
+
+
+def send_creative_analysis_report(all_results: dict) -> None:
+    """Envía scorecard compacto de creatividades a Slack. Un mensaje por campaña."""
+    now        = datetime.now()
+    date_label = now.strftime("%d/%m/%Y %H:%M")
+
+    total_ads     = sum(len(as_d["ads"]) for c in all_results.values() for as_d in c["adsets"].values())
+    total_fatigue = sum(
+        1 for c in all_results.values()
+        for as_d in c["adsets"].values()
+        for ad in as_d["ads"] if ad.get("fatigue")
+    )
+    scored = [
+        ad.get("score", 0) for c in all_results.values()
+        for as_d in c["adsets"].values()
+        for ad in as_d["ads"] if ad.get("score", 0) > 0
+    ]
+    avg_score = round(sum(scored) / len(scored), 1) if scored else 0.0
+
+    summary = f"*{len(all_results)} campañas* · *{total_ads} anuncios* · score medio *{avg_score}/10*"
+    if total_fatigue:
+        summary += f"\n⚠️ *{total_fatigue} con fatiga creativa detectada*"
+
+    _post(
+        "chat.postMessage",
+        channel=config.SLACK_CHANNEL_ID,
+        blocks=[
+            {"type": "header", "text": {"type": "plain_text", "text": f"Creatividades — {date_label}"}},
+            {"type": "section", "text": {"type": "mrkdwn", "text": summary}},
+        ],
+        text=f"Creatividades — {date_label}",
+    )
+
+    # ── One message per campaign ──────────────────────────────────────────────
+    for cid, camp_data in all_results.items():
+        camp_name = camp_data["name"]
+        adsets    = camp_data.get("adsets", {})
+        if not adsets:
+            continue
+
+        def _flush(buf: list) -> list:
+            if len(buf) > 1:
+                try:
+                    _post("chat.postMessage", channel=config.SLACK_CHANNEL_ID,
+                          blocks=buf, text=camp_name)
+                except RuntimeError as e:
+                    print(f"  [WARN] Slack: {e}")
+            return [{"type": "header", "text": {"type": "plain_text", "text": f"{camp_name} (cont.)"}}]
+
+        blocks: list = [{"type": "header", "text": {"type": "plain_text", "text": camp_name}}]
+
+        for as_data in adsets.values():
+            adset_name = as_data["name"]
+            ads        = as_data["ads"]
+            ads_sorted = sorted(ads, key=lambda x: -x.get("score", 0))
+
+            # Compact monospace table — one line per ad
+            lines = [
+                f"*{adset_name}*  _({len(ads)} anuncios)_",
+                "```",
+                f"{'Nombre':<33}  {'Sc':>4}  {'CTR':>5}  {'CPL':>6}  Acción",
+                "─" * 63,
+            ]
+            for ad in ads_sorted:
+                name   = _table_name(ad["ad_name"], 33)
+                score  = ad.get("score", 0)
+                ctr    = ad.get("ctr_7d", 0)
+                cpl    = ad.get("cpl_7d", 0)
+                fat    = "⚠" if ad.get("fatigue") else " "
+                action = _brief_action(score, ad.get("fatigue", False))
+                cpl_s  = f"{cpl:.2f}€" if cpl > 0 else "    —"
+                sc_s   = f"{score:.1f}" if score > 0 else "  —"
+                lines.append(f"{name:<33}{fat} {sc_s:>4}  {ctr:>4.1f}%  {cpl_s:>6}  {action}")
+            lines.append("```")
+
+            winner = as_data.get("comparison", {}) or {}
+            if winner.get("winner"):
+                lines.append(f"🏆 _{winner['winner'][:70]}_")
+
+            ab = [{"type": "section", "text": {"type": "mrkdwn", "text": "\n".join(lines)}}]
+
+            if len(blocks) + len(ab) > 48:
+                blocks = _flush(blocks)
+            blocks.extend(ab)
+
+        _flush(blocks)
+
+
 def send_execution_summary(log: dict):
     """Resumen plano de ejecución (fallback)."""
     mode_label = "DRY RUN" if log.get("mode") == "DRY_RUN" else "PRODUCCIÓN"