Update campaign status in both tables from per-campaign Google Ads metrics

- get_active_gacampaignmes() now returns campaign_at_id (Google Ads Campaigns record ID)
- New batch_update_status() updates Status in GACampaignMes and Google Ads Campaigns
- run.py first pass collects status from get_campaign_metrics() and batch-updates
  both tables at end of pass, ensuring fresh status after each run

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

airtable_client.py

@@ -272,13 +272,15 @@ class AirtableClient:
         mes_num = str(now.month)
         anio_str = str(now.year)
 
-        # Mapping at_record_id → google_campaign_id
+        # Mapping at_record_id → google_campaign_id  y  gid → at_record_id
         campaigns_records = self.campaigns.all(fields=["CampaignID"])
-        at_id_to_gid = {
-            r["id"]: str(r["fields"].get("CampaignID", "")).strip()
-            for r in campaigns_records
-            if r["fields"].get("CampaignID")
-        }
+        at_id_to_gid = {}
+        gid_to_at_id = {}
+        for r in campaigns_records:
+            gid = str(r["fields"].get("CampaignID", "")).strip()
+            if gid:
+                at_id_to_gid[r["id"]] = gid
+                gid_to_at_id[gid] = r["id"]
 
         formula = f"AND({{Mes}}='{mes_num}',{{Año}}='{anio_str}')"
         records = self.gacampaignmes.all(formula=formula)
@@ -295,7 +297,8 @@ class AirtableClient:
             name = name_list[0] if name_list else "Sin nombre"
 
             result.append({
-                "airtable_id": r["id"],
+                "airtable_id": r["id"],               # GACampaignMes record ID
+                "campaign_at_id": gid_to_at_id.get(gid, ""),  # Google Ads Campaigns record ID
                 "curso": name,
                 "cursoid_text": "",
                 "google_campaign_id": gid,
@@ -306,6 +309,28 @@ class AirtableClient:
             })
         return result
 
+    def batch_update_status(self, updates: list[tuple[str, str, str]]) -> None:
+        """
+        Actualiza en lote el campo Status en GACampaignMes y Google Ads Campaigns.
+        updates: lista de (gcm_record_id, campaign_at_id, google_status)
+          google_status: 'ENABLED' | 'PAUSED'
+        """
+        STATUS_MAP = {"ENABLED": "Activa", "PAUSED": "Pausada"}
+
+        gcm_batch = []
+        cat_batch = []
+        for gcm_id, cat_id, google_status in updates:
+            at_status = STATUS_MAP.get(google_status, "Pausada")
+            if gcm_id:
+                gcm_batch.append({"id": gcm_id, "fields": {"Status": at_status}})
+            if cat_id:
+                cat_batch.append({"id": cat_id, "fields": {"Status": at_status}})
+
+        for i in range(0, len(gcm_batch), 10):
+            self.gacampaignmes.batch_update(gcm_batch[i:i+10])
+        for i in range(0, len(cat_batch), 10):
+            self.campaigns.batch_update(cat_batch[i:i+10])
+
     def get_leads_this_month_gads(self, campaign_id: str) -> tuple[int, list[str]]:
         """
         Leads del mes actual para una campaña de Google Ads.

run.py

@@ -121,6 +121,7 @@ def run():
     # === PRIMERA PASADA: recopilar datos de todas las campañas ===
     collected = []
     skipped = []
+    status_updates = []   # (gcm_id, campaign_at_id, google_status) para batch update
 
     for campaign in campaigns:
         cid = campaign["google_campaign_id"]
@@ -133,6 +134,15 @@ def run():
             skipped.append(f"[{cid}] {campaign['curso']}")
             continue
 
+        # Recopilar status para actualizar ambas tablas al final del pase
+        google_status = metrics.get("status", "")
+        if google_status:
+            status_updates.append((
+                campaign["airtable_id"],
+                campaign.get("campaign_at_id", ""),
+                google_status,
+            ))
+
         analysis = analyze(campaign, leads, metrics)
         decision = decide(analysis)
 
@@ -144,6 +154,10 @@ def run():
             "decision": decision,
         })
 
+    # Actualizar status en GACampaignMes y Google Ads Campaigns
+    if status_updates:
+        at.batch_update_status(status_updates)
+
     if skipped:
         print(f"  ⚠️  {len(skipped)} campañas sin métricas omitidas:")
         for s in skipped: