José Manuel Gómez 769d86c896 Unified Formación report: leadform+landing leads, AT/Meta daily table, per-curso contrast, strategic diagnosis
- Broaden Airtable lead counting to attr_utm_source IN ('Lead ads','landingpage')
  — the 'landingpage' leads (100% fbclid, 0% gclid) were being missed entirely,
  undercounting real leads for '_web' suffixed campaigns and skewing
  capping/pacing decisions since yesterday's first production run.
- Add airtable_client.get_meta_leads_bulk() for day/curso-level aggregation.
- Drop per-familia Slack sectioning in favor of a single Formación block,
  chunked by campaign batches instead.
- Add daily AT-vs-Meta table, per-curso PPL/CPL contrast table (leadform vs
  landing breakdown), and a Claude-generated portfolio strategic diagnosis
  (ported from leads-optimizer's portfolio_daily_analysis).
- Persist daily aggregate totals to a new Baserow table (daily_metrics) so
  the dashboard and future reports don't depend on Meta's historical API
  access remaining available indefinitely.
- Surface adset/ad-level recommendations in the campaign cards instead of
  only numeric tables.
2026-07-09 11:02:19 +02:00

44 lines
1.6 KiB
Python

import os
from dotenv import load_dotenv
load_dotenv()
# Meta Ads
META_APP_ID = os.environ["META_APP_ID"]
META_APP_SECRET = os.environ["META_APP_SECRET"]
META_ACCESS_TOKEN = os.environ["META_ACCESS_TOKEN"]
META_AD_ACCOUNT_ID = os.environ["META_AD_ACCOUNT_ID"]
# Anthropic
ANTHROPIC_API_KEY = os.environ["ANTHROPIC_API_KEY"]
# Baserow (self-hosted) — solo lo operativo de Meta (snapshots, acciones, creatividades, logs)
BASEROW_URL = os.environ["BASEROW_URL"]
BASEROW_TOKEN = os.environ["BASEROW_TOKEN"]
BASEROW_TABLE_ACTIONS = int(os.environ["BASEROW_TABLE_ACTIONS"])
BASEROW_TABLE_CREATIVES = int(os.environ["BASEROW_TABLE_CREATIVES"])
BASEROW_TABLE_LOGS = int(os.environ["BASEROW_TABLE_LOGS"])
BASEROW_TABLE_SNAPSHOTS = int(os.environ["BASEROW_TABLE_SNAPSHOTS"])
BASEROW_TABLE_DAILY_METRICS = int(os.environ["BASEROW_TABLE_DAILY_METRICS"])
# Airtable (misma base que leads-optimizer) — negocio: PPL, capping, Cursos, Familias
AIRTABLE_TOKEN = os.environ["AIRTABLE_TOKEN"]
AIRTABLE_BASE_ID = os.environ["AIRTABLE_BASE_ID"]
LEADS_TABLE = "Leads Lake"
CURSOS_TABLE = "Cursos"
CENTROCURSO_TABLE = "CentroCurso"
CURSOMES_TABLE = "CursoMes"
META_CAMPAIGNS_TABLE = "Meta Ads Campaigns"
META_CAMPAIGNMES_TABLE = "MetaCampaignMes"
# Slack (Bot Token, no webhook) — canal dedicado a Formación
SLACK_BOT_TOKEN = os.environ["SLACK_BOT_TOKEN"]
SLACK_SIGNING_SECRET = os.environ["SLACK_SIGNING_SECRET"]
SLACK_CHANNEL_ID = os.environ["SLACK_CHANNEL_ID"]
# Configuración
META_CAMPAIGN_PREFIX = os.environ.get("META_CAMPAIGN_PREFIX", "RoiFormacion")
DRY_RUN = os.environ.get("DRY_RUN", "true").lower() != "false"