Add PMX attribution detection and ConvLeadsLakeMesGrupo field

- Detect Search+PMX companion campaigns by course number
- Add PMX attribution warning to Log field for Search campaigns with active PMX
- Add ConvLeadsLakeMesGrupo: for PMX with Search companion uses Search leads count

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

airtable_client.py

@@ -360,12 +360,18 @@ class AirtableClient:
 
     def batch_update_gacampaignmes_final_leads(self, gcm_records: list[dict]) -> None:
         """
-        Copia ConvLeadsLakeMes → ConvLeadsLakeMesFinal en GACampaignMes.
+        Actualiza ConvLeadsLakeMesFinal y ConvLeadsLakeMesGrupo en GACampaignMes.
-        Se llama una vez por ejecución diaria.
+        gcm_records: lista de dicts con:
-        gcm_records: lista de dicts con 'airtable_id' y 'conv_leads_lake_mes'
+          - 'airtable_id'
+          - 'conv_leads_lake_mes'       → valor para ConvLeadsLakeMesFinal
+          - 'conv_leads_lake_mes_grupo' → valor para ConvLeadsLakeMesGrupo
+            (igual al anterior salvo en PMX con Search companion: usa leads del Search)
         """
         batch = [
-            {"id": r["airtable_id"], "fields": {"ConvLeadsLakeMesFinal": r["conv_leads_lake_mes"]}}
+            {"id": r["airtable_id"], "fields": {
+                "ConvLeadsLakeMesFinal": r["conv_leads_lake_mes"],
+                "ConvLeadsLakeMesGrupo": r["conv_leads_lake_mes_grupo"],
+            }}
             for r in gcm_records
         ]
         for i in range(0, len(batch), 10):

run.py

@@ -1,6 +1,7 @@
 import sys
 import io
 import os
+import re
 sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", line_buffering=True)
 
 from airtable_client import AirtableClient
@@ -173,6 +174,23 @@ def run():
     # Ordenar: 0=críticas → 1=no críticas → 2=mantener
     collected.sort(key=_priority)
 
+    # Detectar cursos con campaña Search Y PMX simultáneas (posible reatribución PMX)
+    def _course_num(name: str) -> str | None:
+        m = re.search(r'fco_(?:search|pmx)_(\d+)', name, re.IGNORECASE)
+        return m.group(1) if m else None
+
+    course_types: dict[str, set] = {}
+    for item in collected:
+        name = item["campaign"]["curso"]
+        num = _course_num(name)
+        if num:
+            course_types.setdefault(num, set())
+            if "pmx" in name.lower():
+                course_types[num].add("pmx")
+            elif "search" in name.lower():
+                course_types[num].add("search")
+    courses_with_both = {num for num, types in course_types.items() if "pmx" in types and "search" in types}
+
     # === SEGUNDA PASADA: imprimir en orden + aplicar decisiones ===
     resumen = []
     advice_updates = []   # (gcm_record_id, consejo, criticidad) para batch update final
@@ -235,6 +253,11 @@ def run():
         else:
             log_text = f"OK: {leads} leads Airtable | {conv_google} conv Google Ads"
 
+        # Nota de reatribución PMX para campañas Search con companion PMX del mismo curso
+        course_num = _course_num(campaign["curso"])
+        if "search" in campaign["curso"].lower() and course_num in courses_with_both:
+            log_text += " | ⚠️ PMX ATTRIBUTION: campaña Search con companion PMX activo — parte de las conversiones de Google pueden estar reatribuidas a la campaña PMX"
+
         advice_updates.append((
             campaign["airtable_id"],
             decision.get("consejo", ""),
@@ -262,12 +285,27 @@ def run():
         at.batch_update_gacampaignmes_advice(advice_updates)
         print("  ✓ Consejos y criticidad guardados.")
 
-    # Copiar ConvLeadsLakeMes → ConvLeadsLakeMesFinal (snapshot diario)
+    # Snapshot diario: ConvLeadsLakeMesFinal + ConvLeadsLakeMesGrupo
-    final_leads_data = [
+    # Para PMX con Search companion del mismo curso, Grupo = leads del Search
-        {"airtable_id": item["campaign"]["airtable_id"],
+    course_search_leads = {
-         "conv_leads_lake_mes": item["leads"]}
+        _course_num(item["campaign"]["curso"]): item["leads"]
         for item in collected
-    ]
+        if "search" in item["campaign"]["curso"].lower()
+        and _course_num(item["campaign"]["curso"])
+    }
+    final_leads_data = []
+    for item in collected:
+        name = item["campaign"]["curso"]
+        num = _course_num(name)
+        if num and "pmx" in name.lower() and num in courses_with_both:
+            grupo = course_search_leads.get(num, item["leads"])
+        else:
+            grupo = item["leads"]
+        final_leads_data.append({
+            "airtable_id": item["campaign"]["airtable_id"],
+            "conv_leads_lake_mes": item["leads"],
+            "conv_leads_lake_mes_grupo": grupo,
+        })
     if final_leads_data:
         print(f"→ Actualizando ConvLeadsLakeMesFinal ({len(final_leads_data)} registros)...")
         at.batch_update_gacampaignmes_final_leads(final_leads_data)