"""
Meta Optimizer — punto de entrada principal.
Analiza campañas de Meta Ads y publica resumen en Slack.
"""
import sys
import io
import os
import json
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", line_buffering=True)

from meta_ads_client import MetaAdsClient
from agent import decide
import config
from datetime import datetime


class Tee:
    def __init__(self, filepath):
        os.makedirs(os.path.dirname(filepath), exist_ok=True)
        self._file = open(filepath, "w", encoding="utf-8")
        self._stdout = sys.stdout

    def write(self, data):
        self._stdout.write(data)
        self._file.write(data)

    def flush(self):
        self._stdout.flush()
        if not self._file.closed:
            self._file.flush()

    def close(self):
        self._file.close()


def run():
    now = datetime.now()
    print(f"\n{'='*55}")
    print(f"  META OPTIMIZER — {now.strftime('%d/%m/%Y %H:%M')}")
    print(f"  Modo: {'DRY RUN (sin cambios)' if config.DRY_RUN else 'PRODUCCIÓN'}")
    print(f"{'='*55}\n")

    meta = MetaAdsClient()

    print("→ Obteniendo métricas del mes desde Meta Ads...")
    metrics_all = meta.get_monthly_metrics_all()
    print(f"  ✓ {len(metrics_all)} campañas encontradas.\n")

    results = []
    for cid, metrics in metrics_all.items():
        analysis = {
            "campaign_id":   cid,
            "name":          metrics["name"],
            "status":        metrics["status"],
            "spend":         metrics["spend"],
            "leads":         metrics["leads"],
            "cpl":           metrics["cpl"],
            "cpl_maximo":    0,   # TODO: cargar desde Airtable o config por campaña
            "ctr":           metrics["ctr"],
            "cpm":           metrics["cpm"],
            "impressions":   metrics["impressions"],
            "clicks":        metrics["clicks"],
        }
        decision = decide(analysis)
        results.append({"metrics": metrics, "analysis": analysis, "decision": decision})

        print(f"📢 {metrics['name'][:50]}")
        print(f"   Gasto: {metrics['spend']}€ | Leads: {metrics['leads']} | CPL: {metrics['cpl']}€")
        print(f"   Decisión: {decision['accion']} — {decision['justificacion'][:80]}")
        if decision.get("alerta"):
            print(f"   🚨 {decision['alerta']}")
        print()

    print(f"Log guardado en: logs/{now.strftime('%Y%m%d_%H%M%S')}.log")


if __name__ == "__main__":
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    log_path = os.path.join("logs", f"{timestamp}.log")
    tee = Tee(log_path)
    sys.stdout = tee
    try:
        run()
    finally:
        tee.close()
        sys.stdout = tee._stdout