José Manuel Gómez
788c00256f
- Rename table abbreviations that Slack misread as domains: 'CPL.AT' was auto-unfurled as a link to the .AT (Austria) TLD, posting an unrelated business's ad copy into the channel. Switch '.' to '·' in all L/€/CPL abbreviations, and set unfurl_links=False/unfurl_media=False on every postMessage as defense in depth. - Pass ppl/cpa_maximo into adset analysis too (ads already had it) so Claude's adset evaluation compares CPL against the course's PPL-derived rentability threshold, not just Meta's own bid cost cap. - Add PPL and Margen columns to the adset numeric table in Slack.
582 lines
25 KiB
Python
582 lines
25 KiB
Python
"""Slack notifier — Web API (Bot Token) con botones interactivos.
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Agrupa por Familia (campo de Airtable/Cursos) en vez de por vertical, y
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muestra PPL/capping mensual en vez de un CPL objetivo único: cada curso tiene
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su propio PPL, así que ya no hay un número de "objetivo" comparable entre
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campañas de la misma familia.
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"""
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from datetime import datetime
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import unicodedata
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import requests
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import config
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def _table_name(name: str, width: int) -> str:
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"""Strip diacritics so accented chars don't break Slack's monospace alignment."""
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normalized = unicodedata.normalize("NFKD", name)
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ascii_name = "".join(c for c in normalized if not unicodedata.combining(c))
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return ascii_name[:width]
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_SLACK_API = "https://slack.com/api"
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_STRATEGY_LABELS = {
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"LOWEST_COST_WITHOUT_CAP": "Menor coste",
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"LOWEST_COST_WITH_BID_CAP": "Cap. puja",
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"COST_CAP": "Cap. coste",
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"MINIMUM_ROAS": "ROAS mín.",
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}
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_ACTION_DISPLAY = {
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"INCREASE_BUDGET": ("🟢", "AUMENTAR PRESUPUESTO"),
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"REDUCE_BUDGET": ("🔴", "REDUCIR PRESUPUESTO"),
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"PAUSE": ("⛔", "PAUSAR CAMPAÑA"),
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"MAINTAIN": ("✅", "MANTENER"),
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}
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# Solo estas acciones ejecutan algo real en Meta API → botones
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_ACTIONABLE = {"INCREASE_BUDGET", "REDUCE_BUDGET", "PAUSE"}
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_URGENCIA_EMOJI = {
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"PAUSAR": "⛔",
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"SPRINT": "🚨",
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"ACELERAR": "🟢",
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"FRENAR": "🔴",
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"EN_RITMO": "✅",
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}
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def _effect_text(action: dict, budget: float | None) -> str:
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"""Texto que describe exactamente qué ocurrirá si se aprueba la acción."""
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atype = action.get("action_type", "")
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param = float(action.get("parameter") or 1.0)
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if atype == "PAUSE":
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return "⚠️ *La campaña será pausada en Meta Ads*"
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if atype in ("INCREASE_BUDGET", "REDUCE_BUDGET"):
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pct = round((param - 1) * 100)
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if pct == 0:
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return "" # parameter not available, skip misleading text
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sign = "+" if pct >= 0 else ""
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if budget:
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new_b = round(budget * param, 2)
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return f"📊 Presupuesto diario: *{budget:.0f}€ → {new_b:.0f}€* ({sign}{pct}%)"
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return f"📊 Ajuste de presupuesto: *{sign}{pct}%*"
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return ""
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def _post(method: str, **payload) -> dict:
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# Las tablas monoespaciadas usan abreviaturas tipo "CPL.AT" que Slack puede
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# confundir con un dominio (.AT = Austria) y expandir como link preview
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# (ver caso real: "CPL.AT" → unfurl de cpl.at). Desactivar unfurl siempre,
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# como defensa adicional a renombrar las abreviaturas problemáticas.
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if method == "chat.postMessage":
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payload.setdefault("unfurl_links", False)
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payload.setdefault("unfurl_media", False)
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resp = requests.post(
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f"{_SLACK_API}/{method}",
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headers={"Authorization": f"Bearer {config.SLACK_BOT_TOKEN}"},
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json=payload,
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timeout=10,
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)
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data = resp.json()
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if not data.get("ok"):
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raise RuntimeError(f"Slack {method} error: {data.get('error')} — {data.get('response_metadata', {}).get('messages', '')}")
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return data
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def update_message(channel: str, ts: str, text: str):
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"""Reemplaza un mensaje con texto plano tras aprobación/rechazo."""
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_post("chat.update", channel=channel, ts=ts, text=text, blocks=[])
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def _adset_ad_table(items: list, label: str, show_bid: bool = False, show_7d: bool = False) -> str:
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"""Genera tabla monoespaciada de adsets o anuncios para Slack."""
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if not items:
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return ""
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lines = [f"*{label}*"]
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lines.append("```")
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if show_7d:
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lines.append(f"{'Nombre':<45} {'Gasto':>6} {'Leads':>5} {'CPL(3d)':>8} {'CPL(7d)':>8} {'CTR':>5}")
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lines.append("─" * 82)
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elif show_bid:
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lines.append(f"{'Nombre':<45} {'Gasto':>6} {'Leads':>5} {'CPL':>6} {'CTR':>5} {'PPL':>6} {'Margen':>8} {'Cap':>7}")
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lines.append("─" * 95)
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else:
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lines.append(f"{'Nombre':<45} {'Gasto':>6} {'Leads':>5} {'CPL':>6} {'CTR':>5}")
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lines.append("─" * 71)
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for it in items:
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name = _table_name(it["name"], 45)
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leads_str = f"{it['leads']:>5}" if it["leads"] > 0 else " —"
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if show_7d:
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cpl_3d = it.get("cpl_3d", 0.0)
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cpl_7d = it.get("cpl_7d", it.get("cpl", 0.0))
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cpl_3d_str = f"{cpl_3d:>6.2f}€" if cpl_3d > 0 else " —"
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cpl_7d_str = f"{cpl_7d:>6.2f}€" if cpl_7d > 0 else " —"
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lines.append(
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f"{name:<45} {it['spend']:>5.0f}€ {leads_str} {cpl_3d_str:>8} {cpl_7d_str:>8} {it['ctr']:>4.1f}%"
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)
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elif show_bid:
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cpl_str = f"{it['cpl']:>5.2f}€" if it["leads"] > 0 else " —"
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cost_cap = it.get("cost_cap_eur")
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cap_str = f"{cost_cap:>6.2f}€" if cost_cap else " Auto"
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ppl = it.get("ppl", 0) or 0
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margin = it["leads"] * ppl - it["spend"]
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ppl_str = f"{ppl:>5.2f}€" if ppl else " —"
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margin_str = f"{margin:>+7.2f}€" if ppl else " —"
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lines.append(
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f"{name:<45} {it['spend']:>5.0f}€ {leads_str} {cpl_str} {it['ctr']:>4.1f}% "
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f"{ppl_str} {margin_str} {cap_str}"
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)
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else:
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cpl_str = f"{it['cpl']:>5.2f}€" if it["leads"] > 0 else " —"
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lines.append(
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f"{name:<45} {it['spend']:>5.0f}€ {leads_str} {cpl_str} {it['ctr']:>4.1f}%"
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)
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lines.append("```")
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return "\n".join(lines)
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def _marg(v: float) -> str:
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v_int = round(v)
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return ("+" if v_int >= 0 else "") + f"{v_int:,.0f}€".replace(",", ".")
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def _pct(v: float) -> str:
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return ("+" if v >= 0 else "") + f"{v:.1f}%"
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def _curso_label(cs: dict, width: int = 26) -> str:
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names = cs.get("campaigns", [])
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if not names:
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return "?"
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label = names[0]
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if len(names) > 1:
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label += f" (+{len(names) - 1})"
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return _table_name(label, width)
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CURSO_TABLE_TOP_N = 25
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def _curso_summary_blocks(curso_summary: dict) -> list[dict]:
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"""
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Resumen y contraste por curso: PPL, CPL según Meta vs según Airtable, y el
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desglose de leads de Airtable por vía (LF=leadform nativo, Land=landing page)
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— ambas 100% atribuibles a Meta, confirmado con datos reales (fbclid en todos
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los 'landingpage', cero 'gclid'). Δ = leads_meta - leads_airtable_total
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(discrepancia de tracking, +N = Meta ve más que Airtable).
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"""
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if not curso_summary:
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return []
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rows = sorted(curso_summary.items(), key=lambda kv: -kv[1]["spend"])
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overflow = max(0, len(rows) - CURSO_TABLE_TOP_N)
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rows = rows[:CURSO_TABLE_TOP_N]
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hdr = f"{'Cod':>5} {'Curso':<26} {'PPL':>6} {'L·Meta':>6} {'L·LF':>5} {'L·Land':>6} {'L·AT':>5} {'CPL·Meta':>8} {'CPL·AT':>7} {'Δ':>4}"
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sep = "─" * len(hdr)
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lines = [hdr, sep]
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for cursoid, cs in rows:
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label = _curso_label(cs)
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cpl_meta_s = f"{cs['cpl_meta']:.2f}€" if cs["cpl_meta"] else " —"
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cpl_at_s = f"{cs['cpl_at']:.2f}€" if cs["cpl_at"] else " —"
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lines.append(
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f"{cursoid:>5} {label:<26} {cs['ppl']:>5.2f}€ {cs['leads_meta']:>6} "
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f"{cs['leads_at_leadform']:>5} {cs['leads_at_landing']:>6} {cs['leads_at_total']:>5} "
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f"{cpl_meta_s:>8} {cpl_at_s:>7} {cs['discrepancia']:>+4}"
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)
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footer = f"\n_+{overflow} cursos más con menos gasto, no mostrados_" if overflow else ""
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text = (
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"*Resumen y contraste por curso — Meta vs Airtable* "
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"_(LF=leadform nativo · Land=landing page, ambas atribuibles a Meta · "
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"Δ=leads_meta−leads_airtable)_\n```\n" + "\n".join(lines) + "\n```" + footer
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)
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return [{"type": "section", "text": {"type": "mrkdwn", "text": chunk}}
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for chunk in [text[j:j + 2900] for j in range(0, len(text), 2900)]]
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def _daily_table_block(daily_totals: list, month_name: str) -> dict | None:
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"""Tabla diaria Leads Airtable vs Leads Meta, coste, ingreso×PPL de cada
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fuente, y margen (calculado sobre el tracking propio de Meta, igual
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convención que leads-optimizer usa con Google Ads; Airtable se muestra en
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paralelo para contrastar discrepancias de tracking, no sustituye el margen oficial)."""
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if not daily_totals:
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return None
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hdr = f"{'Día':<5} {'L·AT':>5} {'L·Meta':>6} {'Coste':>7} {'€·AT':>7} {'€·Meta':>7} {'Margen':>9} {'%':>7}"
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sep = "─" * len(hdr)
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lines = [hdr, sep]
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tot = {"spend": 0.0, "leads_at": 0, "leads_meta": 0, "ing_at": 0.0, "ing_meta": 0.0}
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for d in daily_totals:
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day = d["date"][8:10] + "/" + d["date"][5:7]
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for k in tot:
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tot[k] += d.get(k, 0)
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lines.append(
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f"{day:<5} {d['leads_at']:>5} {d['leads_meta']:>6} "
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f"{d['spend']:>6.0f}€ {d['ing_at']:>6.0f}€ {d['ing_meta']:>6.0f}€ "
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f"{_marg(d['margin']):>9} {_pct(d['margin_pct']):>7}"
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)
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lines.append(sep)
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tot_margin = tot["ing_meta"] - tot["spend"]
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tot_pct = round(tot_margin / tot["ing_meta"] * 100, 1) if tot["ing_meta"] > 0 else 0.0
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lines.append(
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f"{'TOT':<5} {tot['leads_at']:>5} {tot['leads_meta']:>6} "
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f"{tot['spend']:>6.0f}€ {tot['ing_at']:>6.0f}€ {tot['ing_meta']:>6.0f}€ "
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f"{_marg(tot_margin):>9} {_pct(tot_pct):>7}"
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)
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text = (
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f"*Métricas por día — {month_name}* "
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"_(L·AT=leads Airtable · L·Meta=conversión propia Meta · €·AT/€·Meta=leads×PPL de cada fuente)_\n"
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"```\n" + "\n".join(lines) + "\n```"
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)
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return {"type": "section", "text": {"type": "mrkdwn", "text": text}}
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def send_daily_report(
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daily_totals: list,
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best_campaigns: list,
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worst_campaigns: list,
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actions: list,
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campaigns_analyzed: int,
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mode: str = "DRY_RUN",
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campaign_details: dict = None,
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curso_summary: dict = None,
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portfolio_analysis_text: str = None,
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) -> str | None:
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"""Envía el informe diario consolidado (un único bloque de Formación,
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sin agrupar por familia). Devuelve el ts del primer mensaje."""
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now = datetime.now()
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date_label = now.strftime("%d/%m/%Y")
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month_name = now.strftime("%B %Y").capitalize()
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mode_label = "DRY RUN" if mode == "DRY_RUN" else "PRODUCCIÓN"
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action_map = {a["campaign_name"]: a for a in actions}
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details_map = campaign_details or {}
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campaigns = [(cid, detail, action_map.get(detail["name"])) for cid, detail in details_map.items()]
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# ── Message 1: Dashboard ─────────────────────────────────────────────────
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blocks: list = [
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{
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"type": "header",
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"text": {"type": "plain_text", "text": f"Meta Optimizer Formación — {date_label} ({mode_label})"},
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},
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]
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if daily_totals:
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tot_spend = sum(d["spend"] for d in daily_totals)
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tot_leads_m = sum(d["leads_meta"] for d in daily_totals)
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tot_leads_at = sum(d["leads_at"] for d in daily_totals)
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tot_ing_m = sum(d["ing_meta"] for d in daily_totals)
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tot_ing_at = sum(d["ing_at"] for d in daily_totals)
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margen_m = tot_ing_m - tot_spend
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margen_at = tot_ing_at - tot_spend
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pct_m = round(margen_m / tot_ing_m * 100, 1) if tot_ing_m > 0 else 0.0
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pct_at = round(margen_at / tot_ing_at * 100, 1) if tot_ing_at > 0 else 0.0
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blocks.append({
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"type": "section",
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"text": {
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"type": "mrkdwn",
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"text": (
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f"📊 *RESUMEN {month_name.upper()}*\n"
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f"Inversión: *{tot_spend:,.0f}€* | Leads Meta: *{int(tot_leads_m)}* | "
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f"Leads Airtable: *{int(tot_leads_at)}*\n"
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f"Ingreso según Meta: *{tot_ing_m:,.0f}€* | Margen: *{_marg(margen_m)}* ({_pct(pct_m)})\n"
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f"Ingreso según Airtable: *{tot_ing_at:,.0f}€* | Margen: *{_marg(margen_at)}* ({_pct(pct_at)})\n"
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f"_El margen oficial usa el tracking propio de Meta; Airtable se muestra en paralelo "
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f"para contrastar discrepancias de tracking._"
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).replace(",", "."),
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},
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})
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blocks.append({"type": "divider"})
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daily_block = _daily_table_block(daily_totals, month_name)
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if daily_block:
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blocks.append(daily_block)
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else:
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blocks.append({
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"type": "section",
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"text": {"type": "mrkdwn", "text": "_Sin datos del mes en curso aún._"},
|
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})
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blocks.append({
|
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"type": "context",
|
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"elements": [{"type": "mrkdwn", "text": f"{campaigns_analyzed} campañas analizadas"}],
|
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})
|
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|
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result = _post(
|
||
"chat.postMessage",
|
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channel=config.SLACK_CHANNEL_ID,
|
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blocks=blocks,
|
||
text=f"Meta Optimizer Formación — {date_label}",
|
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)
|
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ts = result.get("ts")
|
||
|
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# ── Message 2: resumen y contraste por curso ───────────────────────────────
|
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curso_blocks = _curso_summary_blocks(curso_summary or {})
|
||
if curso_blocks:
|
||
_post("chat.postMessage", channel=config.SLACK_CHANNEL_ID, blocks=curso_blocks,
|
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text="Resumen y contraste por curso")
|
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|
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# ── Message 3: diagnóstico estratégico ──────────────────────────────────────
|
||
if portfolio_analysis_text:
|
||
_post(
|
||
"chat.postMessage",
|
||
channel=config.SLACK_CHANNEL_ID,
|
||
blocks=[
|
||
{"type": "header", "text": {"type": "plain_text", "text": "🤖 Diagnóstico estratégico"}},
|
||
{"type": "section", "text": {"type": "mrkdwn", "text": portfolio_analysis_text[:2950]}},
|
||
],
|
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text="Diagnóstico estratégico",
|
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)
|
||
|
||
# ── Mensajes 4..N: tarjetas por campaña, en lotes (sin agrupar por familia) ─
|
||
def _has_pause_ads(detail):
|
||
return any(ad.get("accion") == "PAUSE" and ad.get("row_id") for ad in detail.get("ads", []))
|
||
|
||
def _priority_key(item):
|
||
_, detail, act = item
|
||
urgencia = detail.get("urgencia", "EN_RITMO")
|
||
atype = act["action_type"] if act else "MAINTAIN"
|
||
if urgencia in ("PAUSAR", "SPRINT"):
|
||
p = 0
|
||
elif atype != "MAINTAIN" or _has_pause_ads(detail):
|
||
p = 1
|
||
else:
|
||
p = 2
|
||
return (p, -detail.get("spend_1d", 0))
|
||
|
||
sorted_campaigns = sorted(campaigns, key=_priority_key)
|
||
|
||
BATCH_SIZE = 6
|
||
for batch_start in range(0, len(sorted_campaigns), BATCH_SIZE):
|
||
batch = sorted_campaigns[batch_start:batch_start + BATCH_SIZE]
|
||
c_blocks: list = []
|
||
|
||
for i, (cid, detail, act) in enumerate(batch):
|
||
if i > 0:
|
||
c_blocks.append({"type": "divider"})
|
||
|
||
name = detail["name"]
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||
familia = detail.get("familia", "")
|
||
spend_1d = detail.get("spend_1d", 0.0)
|
||
leads_1d = detail.get("leads_1d", 0)
|
||
margin = detail["margin"]
|
||
m_str2 = f"+{margin:.2f}€" if margin >= 0 else f"{margin:.2f}€"
|
||
urgencia = detail.get("urgencia", "EN_RITMO")
|
||
u_emoji = _URGENCIA_EMOJI.get(urgencia, "⚪")
|
||
leads_mes = detail.get("leads_mes", 0)
|
||
capping = detail.get("capping", 0)
|
||
cap_str = f"{leads_mes}/{capping}" if capping else f"{leads_mes}/∞"
|
||
adsets = detail.get("adsets", [])
|
||
ads = detail.get("ads", [])
|
||
bid_cfg = detail.get("bid_config", {})
|
||
budget = bid_cfg.get("daily_budget_eur")
|
||
strategy = bid_cfg.get("bid_strategy", "")
|
||
strat_label = _STRATEGY_LABELS.get(strategy, strategy or "—")
|
||
atype = act["action_type"] if act else "MAINTAIN"
|
||
cemoji, alabel = _ACTION_DISPLAY.get(atype, ("⚪", atype))
|
||
|
||
camp_text = (
|
||
f"{cemoji} *{name}*" + (f" _{familia}_" if familia and familia != "Sin familia" else "") + "\n"
|
||
f"Ayer: {spend_1d:.0f}€ / {leads_1d} leads · Margen: {m_str2} · "
|
||
f"{u_emoji} {urgencia} · Cap mes: {cap_str}"
|
||
+ (f" · `{strat_label}`" if strategy else "")
|
||
+ (f" · {budget:.0f}€/día" if budget else "")
|
||
)
|
||
if atype != "MAINTAIN":
|
||
camp_text += f"\n*{alabel}*"
|
||
if act and act.get("justification"):
|
||
camp_text += f" — _{act['justification'][:160]}_"
|
||
if act and act.get("advice"):
|
||
camp_text += f"\n💡 {act['advice'][:160]}"
|
||
if act and act.get("alert"):
|
||
camp_text += f"\n:warning: {act['alert'][:130]}"
|
||
c_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": camp_text}})
|
||
|
||
# Approve/Reject buttons
|
||
if act and atype in _ACTIONABLE:
|
||
effect = _effect_text(act, budget)
|
||
if effect:
|
||
c_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": effect}})
|
||
c_blocks.append({
|
||
"type": "actions",
|
||
"elements": [
|
||
{
|
||
"type": "button",
|
||
"text": {"type": "plain_text", "text": "✅ Aprobar"},
|
||
"style": "primary",
|
||
"value": f"approve:{act['row_id']}",
|
||
"action_id": f"approve_{act['row_id']}",
|
||
},
|
||
{
|
||
"type": "button",
|
||
"text": {"type": "plain_text", "text": "❌ Rechazar"},
|
||
"style": "danger",
|
||
"value": f"reject:{act['row_id']}",
|
||
"action_id": f"reject_{act['row_id']}",
|
||
},
|
||
],
|
||
})
|
||
|
||
# Adsets: tabla + recomendación de cada uno
|
||
if adsets:
|
||
tbl = _adset_ad_table(adsets[:3], "Conjuntos (3 días)", show_bid=True)
|
||
if tbl:
|
||
for chunk in [tbl[j:j+2900] for j in range(0, len(tbl), 2900)]:
|
||
c_blocks.append({"type": "section", "text": {"type": "mrkdwn", "text": chunk}})
|
||
rec_lines = [
|
||
f"• _{_table_name(a['name'], 40)}_: {a['recomendacion'][:110]}"
|
||
for a in adsets[:3] if a.get("recomendacion")
|
||
]
|
||
if rec_lines:
|
||
c_blocks.append({"type": "section", "text": {"type": "mrkdwn",
|
||
"text": "*Recomendaciones (conjuntos):*\n" + "\n".join(rec_lines)}})
|
||
|
||
# Anuncios: recomendaciones de los marcados para pausa + botón
|
||
pause_ads = [a for a in ads if a.get("accion") == "PAUSE" and a.get("row_id")]
|
||
for ad in pause_ads:
|
||
rec = ad.get("recomendacion") or "Sin leads en 7 días."
|
||
c_blocks.append({
|
||
"type": "section",
|
||
"text": {"type": "mrkdwn", "text": f"⛔ *{ad['name'][:80]}*\n{rec[:150]}"},
|
||
})
|
||
c_blocks.append({
|
||
"type": "actions",
|
||
"elements": [
|
||
{
|
||
"type": "button",
|
||
"text": {"type": "plain_text", "text": "⛔ Pausar anuncio"},
|
||
"style": "danger",
|
||
"value": f"approve:{ad['row_id']}",
|
||
"action_id": f"approve_{ad['row_id']}",
|
||
},
|
||
{
|
||
"type": "button",
|
||
"text": {"type": "plain_text", "text": "❌ Rechazar"},
|
||
"value": f"reject:{ad['row_id']}",
|
||
"action_id": f"reject_{ad['row_id']}",
|
||
},
|
||
],
|
||
})
|
||
|
||
_post(
|
||
"chat.postMessage",
|
||
channel=config.SLACK_CHANNEL_ID,
|
||
blocks=c_blocks,
|
||
text=f"Campañas {batch_start + 1}–{batch_start + len(batch)} de {len(sorted_campaigns)}",
|
||
)
|
||
|
||
return ts
|
||
|
||
|
||
def _score_emoji(score: float) -> str:
|
||
if score >= 8: return "🟢"
|
||
if score >= 6: return "🟡"
|
||
if score >= 4: return "🟠"
|
||
return "🔴"
|
||
|
||
|
||
def _brief_action(score: float, fatigue: bool) -> str:
|
||
if score == 0: return "sin imagen"
|
||
if fatigue: return "renovar urgente"
|
||
if score >= 8: return "mantener"
|
||
if score >= 6: return "optimizar"
|
||
if score >= 4: return "renovar"
|
||
return "reemplazar"
|
||
|
||
|
||
def send_creative_analysis_report(all_results: dict) -> None:
|
||
"""Envía scorecard compacto de creatividades a Slack. Un mensaje por campaña."""
|
||
now = datetime.now()
|
||
date_label = now.strftime("%d/%m/%Y %H:%M")
|
||
|
||
total_ads = sum(len(as_d["ads"]) for c in all_results.values() for as_d in c["adsets"].values())
|
||
total_fatigue = sum(
|
||
1 for c in all_results.values()
|
||
for as_d in c["adsets"].values()
|
||
for ad in as_d["ads"] if ad.get("fatigue")
|
||
)
|
||
scored = [
|
||
ad.get("score", 0) for c in all_results.values()
|
||
for as_d in c["adsets"].values()
|
||
for ad in as_d["ads"] if ad.get("score", 0) > 0
|
||
]
|
||
avg_score = round(sum(scored) / len(scored), 1) if scored else 0.0
|
||
|
||
summary = f"*{len(all_results)} campañas* · *{total_ads} anuncios* · score medio *{avg_score}/10*"
|
||
if total_fatigue:
|
||
summary += f"\n⚠️ *{total_fatigue} con fatiga creativa detectada*"
|
||
|
||
_post(
|
||
"chat.postMessage",
|
||
channel=config.SLACK_CHANNEL_ID,
|
||
blocks=[
|
||
{"type": "header", "text": {"type": "plain_text", "text": f"Creatividades — {date_label}"}},
|
||
{"type": "section", "text": {"type": "mrkdwn", "text": summary}},
|
||
],
|
||
text=f"Creatividades — {date_label}",
|
||
)
|
||
|
||
# ── One message per campaign ──────────────────────────────────────────────
|
||
for cid, camp_data in all_results.items():
|
||
camp_name = camp_data["name"]
|
||
adsets = camp_data.get("adsets", {})
|
||
if not adsets:
|
||
continue
|
||
|
||
def _flush(buf: list) -> list:
|
||
if len(buf) > 1:
|
||
try:
|
||
_post("chat.postMessage", channel=config.SLACK_CHANNEL_ID,
|
||
blocks=buf, text=camp_name)
|
||
except RuntimeError as e:
|
||
print(f" [WARN] Slack: {e}")
|
||
return [{"type": "header", "text": {"type": "plain_text", "text": f"{camp_name} (cont.)"}}]
|
||
|
||
blocks: list = [{"type": "header", "text": {"type": "plain_text", "text": camp_name}}]
|
||
|
||
for as_data in adsets.values():
|
||
adset_name = as_data["name"]
|
||
ads = as_data["ads"]
|
||
ads_sorted = sorted(ads, key=lambda x: -x.get("score", 0))
|
||
|
||
# Compact monospace table — one line per ad
|
||
lines = [
|
||
f"*{adset_name}* _({len(ads)} anuncios)_",
|
||
"```",
|
||
f"{'Nombre':<33} {'Sc':>4} {'CTR':>5} {'CPL':>6} Acción",
|
||
"─" * 63,
|
||
]
|
||
for ad in ads_sorted:
|
||
name = _table_name(ad["ad_name"], 33)
|
||
score = ad.get("score", 0)
|
||
ctr = ad.get("ctr_7d", 0)
|
||
cpl = ad.get("cpl_7d", 0)
|
||
fat = "⚠" if ad.get("fatigue") else " "
|
||
action = _brief_action(score, ad.get("fatigue", False))
|
||
cpl_s = f"{cpl:.2f}€" if cpl > 0 else " —"
|
||
sc_s = f"{score:.1f}" if score > 0 else " —"
|
||
lines.append(f"{name:<33}{fat} {sc_s:>4} {ctr:>4.1f}% {cpl_s:>6} {action}")
|
||
lines.append("```")
|
||
|
||
winner = as_data.get("comparison", {}) or {}
|
||
if winner.get("winner"):
|
||
lines.append(f"🏆 _{winner['winner'][:70]}_")
|
||
|
||
ab = [{"type": "section", "text": {"type": "mrkdwn", "text": "\n".join(lines)}}]
|
||
|
||
if len(blocks) + len(ab) > 48:
|
||
blocks = _flush(blocks)
|
||
blocks.extend(ab)
|
||
|
||
_flush(blocks)
|
||
|
||
|
||
def send_execution_summary(log: dict):
|
||
"""Resumen plano de ejecución (fallback)."""
|
||
mode_label = "DRY RUN" if log.get("mode") == "DRY_RUN" else "PRODUCCIÓN"
|
||
text = (
|
||
f":bar_chart: *Meta Optimizer Formación — Resumen diario* ({mode_label})\n"
|
||
f"• Campañas analizadas: {log.get('campaigns_analyzed', 0)}\n"
|
||
f"• Acciones propuestas: {log.get('actions_proposed', 0)}\n"
|
||
f"• Acciones ejecutadas: {log.get('actions_executed', 0)}\n"
|
||
f"• Duración: {log.get('duration_seconds', 0):.1f}s"
|
||
)
|
||
_post("chat.postMessage", channel=config.SLACK_CHANNEL_ID, text=text)
|