Order campaign output by priority and add direct Google Ads links

- Campaigns now shown in three sections:
  1. ACCIONES CRÍTICAS (urgencia PAUSAR/SPRINT)
  2. ACCIONES NO CRÍTICAS (other budget changes)
  3. SIN CAMBIOS (MANTENER)
- First pass collects all data, then sorts before printing
- Each campaign shows direct Google Ads link with account ID
- Summary table also grouped by section with links

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

run.py

@@ -40,6 +40,42 @@ ICONOS = {
     "EN_RITMO": "✅",
 }
 
+ACCION_ICONOS = {
+    "PAUSAR": "⛔",
+    "AUMENTAR_PRESUPUESTO": "📈",
+    "REDUCIR_PRESUPUESTO": "📉",
+    "MANTENER": "✅",
+}
+
+# Google Ads customer ID (sin guiones) para construir enlaces directos
+_CUSTOMER_ID = config.GOOGLE_ADS_LOGIN_CUSTOMER_ID.replace("-", "")
+
+
+def _ads_link(campaign_id: str) -> str:
+    return f"https://ads.google.com/aw/campaigns?campaignId={campaign_id}&__c={_CUSTOMER_ID}"
+
+
+def _priority(item: dict) -> int:
+    """
+    0 — Crítica:     urgencia PAUSAR o SPRINT
+    1 — No crítica:  accion cambia presupuesto pero urgencia no es crítica
+    2 — Mantener:    accion MANTENER
+    """
+    urgencia = item["analysis"]["urgencia"]
+    accion = item["decision"]["accion"]
+    if urgencia in ("PAUSAR", "SPRINT"):
+        return 0
+    if accion != "MANTENER":
+        return 1
+    return 2
+
+
+SECCION_LABELS = {
+    0: "ACCIONES CRÍTICAS  (PAUSAR / AUMENTAR)",
+    1: "ACCIONES NO CRÍTICAS",
+    2: "SIN CAMBIOS  (MANTENER)",
+}
+
 
 def run():
     print(f"\n{'='*55}")
@@ -71,30 +107,70 @@ def run():
     print()
 
     campaigns = at.get_active_campaigns()
-    print(f"→ {len(campaigns)} campañas activas encontradas\n")
+    print(f"→ {len(campaigns)} campañas activas encontradas")
+    print("→ Analizando...\n")
 
-    resumen = []
+    # === PRIMERA PASADA: recopilar datos de todas las campañas ===
+    collected = []
+    skipped = []
 
     for campaign in campaigns:
         cid = campaign["google_campaign_id"]
-        print(f"{'─'*55}")
-        print(f"📚 {campaign['curso']}")
-        print(f"   Campaign ID: {cid} | PPL: {campaign['ppl']}€ | Cap: {campaign['capping_mensual']} leads")
 
-        # 1. Leads reales desde Airtable + vincular en campo Leads Lake
         leads, lead_ids = at.get_leads_this_month(campaign["cursoid_text"])
         at.update_campaign_leads_lake(campaign["airtable_id"], lead_ids)
 
-        # 2. Métricas de Google Ads
         metrics = gads.get_campaign_metrics(cid)
         if not metrics:
-            print(f"   ⚠️  Sin métricas en Google Ads, omitiendo.\n")
+            skipped.append(f"[{cid}] {campaign['curso']}")
             continue
 
-        # 3. Análisis
         analysis = analyze(campaign, leads, metrics)
-        icono = ICONOS.get(analysis["urgencia"], "❓")
+        decision = decide(analysis)
 
+        collected.append({
+            "campaign": campaign,
+            "leads": leads,
+            "metrics": metrics,
+            "analysis": analysis,
+            "decision": decision,
+        })
+
+    if skipped:
+        print(f"  ⚠️  {len(skipped)} campañas sin métricas omitidas:")
+        for s in skipped:
+            print(f"     · {s}")
+        print()
+
+    # Ordenar: 0=críticas → 1=no críticas → 2=mantener
+    collected.sort(key=_priority)
+
+    # === SEGUNDA PASADA: imprimir en orden + aplicar decisiones ===
+    resumen = []
+    last_priority = -1
+
+    for item in collected:
+        campaign = item["campaign"]
+        leads    = item["leads"]
+        metrics  = item["metrics"]
+        analysis = item["analysis"]
+        decision = item["decision"]
+        cid      = campaign["google_campaign_id"]
+
+        p = _priority(item)
+        if p != last_priority:
+            print(f"\n{'━'*55}")
+            print(f"  {SECCION_LABELS[p]}")
+            print(f"{'━'*55}")
+            last_priority = p
+
+        icono = ICONOS.get(analysis["urgencia"], "❓")
+        accion_icono = ACCION_ICONOS.get(decision["accion"], "")
+
+        print(f"{'─'*55}")
+        print(f"📚 {campaign['curso']}")
+        print(f"   ID: {cid} | PPL: {campaign['ppl']}€ | Cap: {campaign['capping_mensual']} leads")
+        print(f"   🔗 {_ads_link(cid)}")
         print(f"   Leads mes: {leads}/{campaign['capping_mensual']} "
               f"({analysis['ratio_leads']*100:.0f}% cap) | "
               f"Ratio mes: {analysis['ratio_mes']*100:.0f}%")
@@ -108,9 +184,7 @@ def run():
             print(f"   🚨 ALERTA TRACKING: {analysis['discrepancia_tracking']} leads de diferencia "
                   f"entre Airtable ({leads}) y Google Ads ({int(analysis['conversiones_google'])})")
 
-        # 4. Decisión del agente
+        print(f"   Decisión: {accion_icono} {decision['accion']} "
-        decision = decide(analysis)
-        print(f"   Decisión: {decision['accion']} "
               f"(confianza: {decision['confianza']*100:.0f}%)")
         print(f"   Justificación: {decision['justificacion']}")
 
@@ -120,7 +194,6 @@ def run():
         if decision.get("alerta"):
             print(f"   🚨 {decision['alerta']}")
 
-        # 5. Aplicar
         apply_decision(campaign, decision, metrics, gads)
 
         resumen.append({
@@ -131,18 +204,25 @@ def run():
             "cpa":      analysis["cpa_actual"],
             "margen":   f"{analysis['margen']*100:.0f}%",
             "consejo":  decision.get("consejo", ""),
+            "link":     _ads_link(cid),
+            "prioridad": p,
         })
 
         print()
 
-    # Resumen final
+    # Resumen final ordenado por prioridad (ya está ordenado)
     print(f"{'='*55}")
     print("RESUMEN FINAL")
     print(f"{'='*55}")
+    last_p = -1
     for r in resumen:
+        if r["prioridad"] != last_p:
+            print(f"\n  --- {SECCION_LABELS[r['prioridad']]} ---")
+            last_p = r["prioridad"]
         print(f"  {r['curso'][:35]:<35} | {r['urgencia']:<12} | {r['accion']:<25} | {r['leads']} leads | {r['margen']} margen")
+        print(f"  {'':35}   {r['link']}")
         if r["consejo"]:
-            print(f"  {'':35}   {'💡':>14}  {r['consejo']}")
+            print(f"  {'':35}   💡 {r['consejo']}")
     print()