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>
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124
run.py
124
run.py
@ -40,6 +40,42 @@ ICONOS = {
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"EN_RITMO": "✅",
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}
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ACCION_ICONOS = {
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"PAUSAR": "⛔",
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"AUMENTAR_PRESUPUESTO": "📈",
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"REDUCIR_PRESUPUESTO": "📉",
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"MANTENER": "✅",
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}
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# Google Ads customer ID (sin guiones) para construir enlaces directos
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_CUSTOMER_ID = config.GOOGLE_ADS_LOGIN_CUSTOMER_ID.replace("-", "")
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def _ads_link(campaign_id: str) -> str:
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return f"https://ads.google.com/aw/campaigns?campaignId={campaign_id}&__c={_CUSTOMER_ID}"
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def _priority(item: dict) -> int:
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"""
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0 — Crítica: urgencia PAUSAR o SPRINT
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1 — No crítica: accion cambia presupuesto pero urgencia no es crítica
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2 — Mantener: accion MANTENER
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"""
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urgencia = item["analysis"]["urgencia"]
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accion = item["decision"]["accion"]
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if urgencia in ("PAUSAR", "SPRINT"):
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return 0
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if accion != "MANTENER":
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return 1
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return 2
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SECCION_LABELS = {
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0: "ACCIONES CRÍTICAS (PAUSAR / AUMENTAR)",
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1: "ACCIONES NO CRÍTICAS",
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2: "SIN CAMBIOS (MANTENER)",
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}
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def run():
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print(f"\n{'='*55}")
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@ -71,30 +107,70 @@ def run():
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print()
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campaigns = at.get_active_campaigns()
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print(f"→ {len(campaigns)} campañas activas encontradas\n")
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print(f"→ {len(campaigns)} campañas activas encontradas")
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print("→ Analizando...\n")
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resumen = []
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# === PRIMERA PASADA: recopilar datos de todas las campañas ===
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collected = []
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skipped = []
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for campaign in campaigns:
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cid = campaign["google_campaign_id"]
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print(f"{'─'*55}")
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print(f"📚 {campaign['curso']}")
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print(f" Campaign ID: {cid} | PPL: {campaign['ppl']}€ | Cap: {campaign['capping_mensual']} leads")
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# 1. Leads reales desde Airtable + vincular en campo Leads Lake
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leads, lead_ids = at.get_leads_this_month(campaign["cursoid_text"])
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at.update_campaign_leads_lake(campaign["airtable_id"], lead_ids)
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# 2. Métricas de Google Ads
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metrics = gads.get_campaign_metrics(cid)
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if not metrics:
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print(f" ⚠️ Sin métricas en Google Ads, omitiendo.\n")
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skipped.append(f"[{cid}] {campaign['curso']}")
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continue
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# 3. Análisis
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analysis = analyze(campaign, leads, metrics)
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icono = ICONOS.get(analysis["urgencia"], "❓")
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decision = decide(analysis)
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collected.append({
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"campaign": campaign,
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"leads": leads,
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"metrics": metrics,
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"analysis": analysis,
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"decision": decision,
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})
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if skipped:
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print(f" ⚠️ {len(skipped)} campañas sin métricas omitidas:")
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for s in skipped:
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print(f" · {s}")
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print()
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# Ordenar: 0=críticas → 1=no críticas → 2=mantener
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collected.sort(key=_priority)
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# === SEGUNDA PASADA: imprimir en orden + aplicar decisiones ===
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resumen = []
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last_priority = -1
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for item in collected:
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campaign = item["campaign"]
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leads = item["leads"]
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metrics = item["metrics"]
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analysis = item["analysis"]
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decision = item["decision"]
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cid = campaign["google_campaign_id"]
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p = _priority(item)
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if p != last_priority:
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print(f"\n{'━'*55}")
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print(f" {SECCION_LABELS[p]}")
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print(f"{'━'*55}")
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last_priority = p
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icono = ICONOS.get(analysis["urgencia"], "❓")
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accion_icono = ACCION_ICONOS.get(decision["accion"], "")
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print(f"{'─'*55}")
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print(f"📚 {campaign['curso']}")
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print(f" ID: {cid} | PPL: {campaign['ppl']}€ | Cap: {campaign['capping_mensual']} leads")
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print(f" 🔗 {_ads_link(cid)}")
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print(f" Leads mes: {leads}/{campaign['capping_mensual']} "
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f"({analysis['ratio_leads']*100:.0f}% cap) | "
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f"Ratio mes: {analysis['ratio_mes']*100:.0f}%")
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@ -108,9 +184,7 @@ def run():
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print(f" 🚨 ALERTA TRACKING: {analysis['discrepancia_tracking']} leads de diferencia "
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f"entre Airtable ({leads}) y Google Ads ({int(analysis['conversiones_google'])})")
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# 4. Decisión del agente
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decision = decide(analysis)
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print(f" Decisión: {decision['accion']} "
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print(f" Decisión: {accion_icono} {decision['accion']} "
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f"(confianza: {decision['confianza']*100:.0f}%)")
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print(f" Justificación: {decision['justificacion']}")
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@ -120,29 +194,35 @@ def run():
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if decision.get("alerta"):
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print(f" 🚨 {decision['alerta']}")
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# 5. Aplicar
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apply_decision(campaign, decision, metrics, gads)
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resumen.append({
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"curso": campaign["curso"],
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"curso": campaign["curso"],
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"urgencia": analysis["urgencia"],
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"accion": decision["accion"],
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"leads": f"{leads}/{campaign['capping_mensual']}",
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"cpa": analysis["cpa_actual"],
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"margen": f"{analysis['margen']*100:.0f}%",
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"consejo": decision.get("consejo", ""),
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"accion": decision["accion"],
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"leads": f"{leads}/{campaign['capping_mensual']}",
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"cpa": analysis["cpa_actual"],
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"margen": f"{analysis['margen']*100:.0f}%",
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"consejo": decision.get("consejo", ""),
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"link": _ads_link(cid),
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"prioridad": p,
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})
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print()
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# Resumen final
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# Resumen final ordenado por prioridad (ya está ordenado)
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print(f"{'='*55}")
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print("RESUMEN FINAL")
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print(f"{'='*55}")
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last_p = -1
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for r in resumen:
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if r["prioridad"] != last_p:
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print(f"\n --- {SECCION_LABELS[r['prioridad']]} ---")
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last_p = r["prioridad"]
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print(f" {r['curso'][:35]:<35} | {r['urgencia']:<12} | {r['accion']:<25} | {r['leads']} leads | {r['margen']} margen")
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print(f" {'':35} {r['link']}")
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if r["consejo"]:
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print(f" {'':35} {'💡':>14} {r['consejo']}")
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print(f" {'':35} 💡 {r['consejo']}")
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print()
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