Add leadform campaign detection and log notes for attribution discrepancies
- Detect courses with _leadform companion campaigns before first pass - Add ℹ️ LEADFORM note in Log for campaigns that use Google's native lead form (leads bypass the website and don't reach Airtable) - Add ⚠️ LEADFORM COMPANION note for sibling campaigns of the same course (explains conversion count discrepancy) - Also moves _course_num and courses_with_both detection to pre-pass (before first loop) so PMX analysis uses correct leads_grupo Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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run.py
86
run.py
@ -125,6 +125,32 @@ def run():
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print(f"→ {len(campaigns)} campañas con actividad este mes")
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print("→ Analizando...\n")
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# Detección anticipada de cursos con Search Y PMX simultáneos
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def _course_num(name: str) -> str | None:
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m = re.search(r'fco_(?:search|pmx)_(\d+)', name, re.IGNORECASE)
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return m.group(1) if m else None
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course_types_pre: dict[str, set] = {}
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for c in campaigns:
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num = _course_num(c["curso"])
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if num:
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course_types_pre.setdefault(num, set())
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if "pmx" in c["curso"].lower():
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course_types_pre[num].add("pmx")
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elif "search" in c["curso"].lower():
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course_types_pre[num].add("search")
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courses_with_both = {
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num for num, types in course_types_pre.items()
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if "pmx" in types and "search" in types
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}
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# Detección anticipada de cursos con campaña _leadform activa
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courses_with_leadform = {
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_course_num(c["curso"])
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for c in campaigns
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if "_leadform" in c["curso"].lower() and _course_num(c["curso"])
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}
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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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@ -150,12 +176,21 @@ def run():
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google_status,
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))
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analysis = analyze(campaign, leads, metrics)
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# Para PMX con companion Search: usar conversiones Google como leads de análisis
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course_num = _course_num(campaign["curso"])
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is_pmx_with_companion = (
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"pmx" in campaign["curso"].lower()
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and course_num in courses_with_both
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)
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leads_grupo = int(metrics.get("conversions", 0)) if is_pmx_with_companion else leads
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analysis = analyze(campaign, leads_grupo, metrics)
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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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"leads_grupo": leads_grupo,
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"metrics": metrics,
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"analysis": analysis,
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"decision": decision,
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@ -174,23 +209,6 @@ def run():
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# Ordenar: 0=críticas → 1=no críticas → 2=mantener
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collected.sort(key=_priority)
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# Detectar cursos con campaña Search Y PMX simultáneas (posible reatribución PMX)
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def _course_num(name: str) -> str | None:
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m = re.search(r'fco_(?:search|pmx)_(\d+)', name, re.IGNORECASE)
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return m.group(1) if m else None
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course_types: dict[str, set] = {}
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for item in collected:
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name = item["campaign"]["curso"]
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num = _course_num(name)
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if num:
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course_types.setdefault(num, set())
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if "pmx" in name.lower():
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course_types[num].add("pmx")
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elif "search" in name.lower():
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course_types[num].add("search")
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courses_with_both = {num for num, types in course_types.items() if "pmx" in types and "search" in types}
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# === SEGUNDA PASADA: imprimir en orden + aplicar decisiones ===
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resumen = []
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advice_updates = [] # (gcm_record_id, consejo, criticidad) para batch update final
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@ -258,6 +276,13 @@ def run():
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if "search" in campaign["curso"].lower() and course_num in courses_with_both:
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log_text += " | ⚠️ PMX ATTRIBUTION: campaña Search con companion PMX activo — parte de las conversiones de Google pueden estar reatribuidas a la campaña PMX"
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# Nota leadform: los leads se capturan en Google sin pasar por la web
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is_leadform = "_leadform" in campaign["curso"].lower()
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if is_leadform:
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log_text += " | ℹ️ LEADFORM: leads capturados directamente en Google (sin visitar la web) — no llegan a Airtable"
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elif course_num in courses_with_leadform:
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log_text += " | ⚠️ LEADFORM COMPANION: existe una campaña _leadform activa para este curso — parte de las conversiones de Google pueden provenir de leads capturados directamente en Google"
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advice_updates.append((
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campaign["airtable_id"],
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decision.get("consejo", ""),
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@ -286,26 +311,15 @@ def run():
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print(" ✓ Consejos y criticidad guardados.")
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# Snapshot diario: ConvLeadsLakeMesFinal + ConvLeadsLakeMesGrupo
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# Para PMX con Search companion del mismo curso, Grupo = leads del Search
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course_search_leads = {
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_course_num(item["campaign"]["curso"]): item["leads"]
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for item in collected
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if "search" in item["campaign"]["curso"].lower()
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and _course_num(item["campaign"]["curso"])
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}
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final_leads_data = []
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for item in collected:
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name = item["campaign"]["curso"]
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num = _course_num(name)
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if num and "pmx" in name.lower() and num in courses_with_both:
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grupo = course_search_leads.get(num, item["leads"])
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else:
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grupo = item["leads"]
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final_leads_data.append({
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# PMX con companion Search → Grupo = conversiones Google (ya calculado en leads_grupo)
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final_leads_data = [
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{
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"airtable_id": item["campaign"]["airtable_id"],
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"conv_leads_lake_mes": item["leads"],
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"conv_leads_lake_mes_grupo": grupo,
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})
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"conv_leads_lake_mes_grupo": item["leads_grupo"],
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}
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for item in collected
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]
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if final_leads_data:
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print(f"→ Actualizando ConvLeadsLakeMesFinal ({len(final_leads_data)} registros)...")
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at.batch_update_gacampaignmes_final_leads(final_leads_data)
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