Rename leads field: Google Ads as 'leads', Airtable as 'leads_lake'

- MetricasDiarias now stores both: leads (Google conv) and leads_lake (Airtable count)
- Update backfill and migration scripts accordingly
- migrate_leads_field.py executed: 49 May records updated

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

backfill_leads_mayo.py

@@ -40,11 +40,11 @@ for r in records:
 days_needed: set[str] = set()
 for _, (_, md) in gid_to_gcm.items():
     for day_str, vals in md.items():
-        if "leads" not in vals:
+        if "leads_lake" not in vals:
             days_needed.add(day_str)
 
 if not days_needed:
-    print("Todos los días ya tienen 'leads'. Nada que hacer.")
+    print("Todos los días ya tienen 'leads_lake'. Nada que hacer.")
     exit(0)
 
 print(f"Días a rellenar: {sorted(days_needed)}")
@@ -61,8 +61,8 @@ for day_str in sorted(days_needed):
     leads_by_cid = at.get_leads_by_campaign_on_date(date_iso)
     updated = 0
     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"] = leads_by_cid.get(gid, 0)
+        if day_str in md and "leads_lake" not in md[day_str]:
+            md[day_str]["leads_lake"] = leads_by_cid.get(gid, 0)
             updated += 1
     print(f"{updated} campañas actualizadas")
 
@@ -71,7 +71,7 @@ print("\nGuardando en Airtable...")
 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())
+    if any("leads_lake" in v for v in md.values())
 ]
 for i in range(0, len(batch), 10):
     at.gacampaignmes.batch_update(batch[i:i+10])

migrate_leads_field.py

@@ -0,0 +1,43 @@
+"""
+Migración one-off: renombra el campo 'leads' a 'leads_lake' en MetricasDiarias
+de todos los registros GACampaignMes de mayo 2026.
+"""
+import json
+from airtable_client import AirtableClient
+
+at = AirtableClient()
+
+print("Cargando registros GACampaignMes de mayo...")
+records = at.gacampaignmes.all(
+    formula="AND({Mes}='5',{Año}='2026')",
+    fields=["MetricasDiarias"],
+)
+
+batch = []
+for r in records:
+    raw = r["fields"].get("MetricasDiarias") or "{}"
+    try:
+        md = json.loads(raw)
+    except (json.JSONDecodeError, TypeError):
+        md = {}
+
+    changed = False
+    for day_vals in md.values():
+        if "leads" in day_vals and "leads_lake" not in day_vals:
+            day_vals["leads_lake"] = day_vals.pop("leads")
+            changed = True
+
+    if changed:
+        batch.append({
+            "id": r["id"],
+            "fields": {"MetricasDiarias": json.dumps(md, ensure_ascii=False)},
+        })
+
+print(f"Registros a migrar: {len(batch)}")
+if not batch:
+    print("Nada que migrar.")
+else:
+    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 Migracion completada: {len(batch)} registros actualizados.")

run.py

@@ -303,8 +303,8 @@ def run():
             md = json.loads(campaign["metricas_diarias"])
         except (json.JSONDecodeError, TypeError):
             md = {}
-        leads_hoy = leads_yesterday.get(cid, 0)
-        md[dia_hoy] = {"coste": coste_hoy, "ingreso": ingreso_hoy, "margen": margen_hoy, "leads": leads_hoy}
+        leads_lake_hoy = leads_yesterday.get(cid, 0)
+        md[dia_hoy] = {"coste": coste_hoy, "ingreso": ingreso_hoy, "margen": margen_hoy, "leads": int(conv_hoy), "leads_lake": leads_lake_hoy}
         campaign["metricas_diarias"] = json.dumps(md, ensure_ascii=False)
         metricas_updates.append({
             "airtable_id": campaign["airtable_id"],