José Manuel Gómez
f1dec1c887
- Fetch leads from Airtable per campaign on yesterday's date before second pass - Include 'leads' field in MetricasDiarias JSON alongside coste/ingreso/margen - Add get_leads_by_campaign_on_date() bulk fetch in AirtableClient - Add backfill_leads_mayo.py one-off script (already executed for days 01-03) - Fix UnboundLocalError: remove duplicate local timedelta import inside run() Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
"""
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Script one-off: rellena el campo 'leads' en MetricasDiarias para cada día
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de mayo ya registrado en GACampaignMes.
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Ejecutar una sola vez:
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python backfill_leads_mayo.py
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"""
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import json
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from datetime import datetime, timedelta
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from airtable_client import AirtableClient
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at = AirtableClient()
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now = datetime.now()
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print("Cargando registros GACampaignMes de mayo...")
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records = at.gacampaignmes.all(
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formula="AND({Mes}='5',{Año}='2026')",
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fields=["CampaignID", "MetricasDiarias", "Campaign Name (from CampaignID)"],
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)
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# Mapping google_campaign_id → (gcm_record_id, metricas_dict)
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gid_to_gcm: dict[str, tuple[str, dict]] = {}
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campaigns_records = at.campaigns.all(fields=["CampaignID"])
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at_id_to_gid = {r["id"]: str(r["fields"].get("CampaignID", "")).strip() for r in campaigns_records}
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for r in records:
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at_cids = r["fields"].get("CampaignID", [])
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if not at_cids:
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continue
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gid = at_id_to_gid.get(at_cids[0], "")
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if not gid:
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continue
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try:
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md = json.loads(r["fields"].get("MetricasDiarias") or "{}")
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except (json.JSONDecodeError, TypeError):
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md = {}
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gid_to_gcm[gid] = (r["id"], md)
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# Días de mayo que ya tienen métricas (sin 'leads')
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days_needed: set[str] = set()
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for _, (_, md) in gid_to_gcm.items():
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for day_str, vals in md.items():
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if "leads" not in vals:
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days_needed.add(day_str)
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if not days_needed:
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print("Todos los días ya tienen 'leads'. Nada que hacer.")
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exit(0)
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print(f"Días a rellenar: {sorted(days_needed)}")
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# Para cada día, obtener leads bulk
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for day_str in sorted(days_needed):
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try:
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day_int = int(day_str)
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date = datetime(now.year, 5, day_int)
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except ValueError:
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continue
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date_iso = date.strftime("%Y-%m-%d")
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print(f" > {date_iso} ...", end=" ", flush=True)
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leads_by_cid = at.get_leads_by_campaign_on_date(date_iso)
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updated = 0
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for gid, (gcm_id, md) in gid_to_gcm.items():
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if day_str in md and "leads" not in md[day_str]:
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md[day_str]["leads"] = leads_by_cid.get(gid, 0)
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updated += 1
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print(f"{updated} campañas actualizadas")
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# Guardar en Airtable en lotes
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print("\nGuardando en Airtable...")
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batch = [
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{"id": gcm_id, "fields": {"MetricasDiarias": json.dumps(md, ensure_ascii=False)}}
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for _, (gcm_id, md) in gid_to_gcm.items()
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if any("leads" in v for v in md.values())
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]
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for i in range(0, len(batch), 10):
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at.gacampaignmes.batch_update(batch[i:i+10])
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print(f"✓ Backfill completado: {len(batch)} registros actualizados.")
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