Backfill Google Ads daily leads for May in MetricasDiarias

- Add get_daily_conversions_for_month() to GoogleAdsClient
- Add backfill_leads_google_mayo.py: populates 'leads' (Google conv) for all May days
- 147 day-entries updated across 49 GACampaignMes records

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

backfill_leads_google_mayo.py

@@ -0,0 +1,62 @@
+"""
+Script one-off: rellena el campo 'leads' (conversiones Google Ads) en MetricasDiarias
+para cada dia de mayo ya registrado en GACampaignMes.
+
+Ejecutar una sola vez:
+    python backfill_leads_google_mayo.py
+"""
+import json
+from airtable_client import AirtableClient
+from google_ads_client import GoogleAdsClient
+at = AirtableClient()
+gads = GoogleAdsClient()
+
+print("Obteniendo conversiones diarias de Google Ads para mayo 2026...")
+daily_conv = gads.get_daily_conversions_for_month(2026, 5)
+print(f"  > {len(daily_conv)} dias con datos en Google Ads")
+
+print("Cargando registros GACampaignMes de mayo...")
+records = at.gacampaignmes.all(
+    formula="AND({Mes}='5',{Año}='2026')",
+    fields=["CampaignID", "MetricasDiarias", "Campaign Name (from CampaignID)"],
+)
+
+campaigns_records = at.campaigns.all(fields=["CampaignID"])
+at_id_to_gid = {r["id"]: str(r["fields"].get("CampaignID", "")).strip() for r in campaigns_records}
+
+gid_to_gcm: dict[str, tuple[str, dict]] = {}
+for r in records:
+    at_cids = r["fields"].get("CampaignID", [])
+    if not at_cids:
+        continue
+    gid = at_id_to_gid.get(at_cids[0], "")
+    if not gid:
+        continue
+    try:
+        md = json.loads(r["fields"].get("MetricasDiarias") or "{}")
+    except (json.JSONDecodeError, TypeError):
+        md = {}
+    gid_to_gcm[gid] = (r["id"], md)
+
+total_updated = 0
+for date_str, conv_by_cid in sorted(daily_conv.items()):
+    day_str = date_str[8:10]  # "YYYY-MM-DD" -> "DD"
+    for gid, (gcm_id, md) in gid_to_gcm.items():
+        if day_str in md and "leads" not in md[day_str]:
+            md[day_str]["leads"] = int(conv_by_cid.get(gid, 0))
+            total_updated += 1
+
+print(f"Entradas actualizadas en memoria: {total_updated}")
+
+batch = [
+    {"id": gcm_id, "fields": {"MetricasDiarias": json.dumps(md, ensure_ascii=False)}}
+    for _, (gcm_id, md) in gid_to_gcm.items()
+    if any("leads" in v for v in md.values())
+]
+
+print(f"Guardando {len(batch)} registros en Airtable...")
+for i in range(0, len(batch), 10):
+    at.gacampaignmes.batch_update(batch[i:i+10])
+    print(f"  > {min(i+10, len(batch))}/{len(batch)} guardados")
+
+print(f"OK Backfill completado: {len(batch)} registros, {total_updated} entradas de dia actualizadas.")

google_ads_client.py

@@ -100,6 +100,39 @@ class GoogleAdsClient:
             print(f"  ❌ Error obteniendo métricas de hoy: {e}")
         return result
 
+    def get_daily_conversions_for_month(self, year: int, month: int) -> dict:
+        """
+        Devuelve conversiones diarias de todas las campañas para un mes completo.
+        Retorna dict {date_str ('YYYY-MM-DD'): {campaign_id: conversions}}.
+        """
+        start = f"{year}-{month:02d}-01"
+        # último día del mes
+        if month == 12:
+            end = f"{year + 1}-01-01"
+        else:
+            end = f"{year}-{month + 1:02d}-01"
+        ga_service = self.client.get_service("GoogleAdsService")
+        query = f"""
+            SELECT
+                campaign.id,
+                segments.date,
+                metrics.conversions
+            FROM campaign
+            WHERE campaign.status != 'REMOVED'
+              AND segments.date >= '{start}'
+              AND segments.date < '{end}'
+        """
+        result: dict = {}
+        try:
+            response = ga_service.search(customer_id=self.customer_id, query=query)
+            for row in response:
+                date_str = row.segments.date
+                cid = str(row.campaign.id)
+                result.setdefault(date_str, {})[cid] = row.metrics.conversions
+        except GoogleAdsException as e:
+            print(f"  ❌ Error obteniendo métricas mensuales: {e}")
+        return result
+
     def get_campaign_metrics(self, campaign_id: str) -> dict:
         """Métricas del mes en curso para una campaña concreta (acumulado mensual)."""
         ga_service = self.client.get_service("GoogleAdsService")