"""
One-time script: adds "Meta Ads Campaigns" and "MetaCampaignMes" tables to the
EXISTING Airtable base shared with leads-optimizer (AIRTABLE_BASE_ID), next to
"Google Ads Campaigns" / "GACampaignMes".

⚠️ This mutates a shared, already-in-production Airtable base used by
leads-optimizer. Run it deliberately, not as part of routine deploys.
Requires an Airtable Personal Access Token with the `schema.bases:write`
scope over that base (AIRTABLE_TOKEN in .env).

Usage:
    python setup_airtable_meta_tables.py
"""
import os
import sys
import requests
from dotenv import load_dotenv

sys.stdout.reconfigure(encoding="utf-8", errors="replace")

load_dotenv()

TOKEN   = os.environ.get("AIRTABLE_TOKEN", "")
BASE_ID = os.environ.get("AIRTABLE_BASE_ID", "")

if not TOKEN or not BASE_ID:
    print("Error: AIRTABLE_TOKEN and AIRTABLE_BASE_ID must be set in your .env file.")
    sys.exit(1)

HEADERS = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}
META_URL = f"https://api.airtable.com/v0/meta/bases/{BASE_ID}/tables"


def create_table(name: str, fields: list) -> dict:
    resp = requests.post(META_URL, headers=HEADERS, json={"name": name, "fields": fields}, timeout=15)
    if not resp.ok:
        print(f"  API error {resp.status_code}: {resp.text[:500]}")
        resp.raise_for_status()
    data = resp.json()
    print(f"  ✓ Table '{name}' created (id={data['id']})")
    return data


existing = requests.get(META_URL, headers=HEADERS, timeout=15)
existing.raise_for_status()
existing_tables = {t["name"]: t for t in existing.json().get("tables", [])}

print(f"Creando tablas en la base {BASE_ID}...")

if "Meta Ads Campaigns" in existing_tables:
    campaigns_table = existing_tables["Meta Ads Campaigns"]
    print(f"  = Table 'Meta Ads Campaigns' already exists (id={campaigns_table['id']}), skipping")
else:
    campaigns_table = create_table("Meta Ads Campaigns", [
        {"name": "Campaign Name", "type": "singleLineText"},
        {"name": "CampaignID",    "type": "singleLineText"},
        {"name": "CursoID Text",  "type": "singleLineText"},
        {
            "name": "Status", "type": "singleSelect",
            "options": {"choices": [{"name": "Activa"}, {"name": "Pausada"}]},
        },
        {"name": "PPL", "type": "number", "options": {"precision": 2}},
    ])

if "MetaCampaignMes" in existing_tables:
    print(f"  = Table 'MetaCampaignMes' already exists (id={existing_tables['MetaCampaignMes']['id']}), skipping")
    print("""
""" + "="*55 + "\n  Nada que hacer: ambas tablas ya existen.\n" + "="*55)
    sys.exit(0)

metacampaignmes_table = create_table("MetaCampaignMes", [
    {"name": "Mes", "type": "singleLineText"},
    {"name": "Año", "type": "singleLineText"},
    {
        "name": "CampaignID", "type": "multipleRecordLinks",
        "options": {"linkedTableId": campaigns_table["id"]},
    },
    {"name": "PPL",                    "type": "number", "options": {"precision": 2}},
    {"name": "CPAMax",                 "type": "number", "options": {"precision": 2}},
    {"name": "CapTotalMes",            "type": "number", "options": {"precision": 0}},
    {"name": "CosteMes",               "type": "number", "options": {"precision": 2}},
    {"name": "ConvMes",                "type": "number", "options": {"precision": 2}},
    {
        "name": "Status", "type": "singleSelect",
        "options": {"choices": [{"name": "Activa"}, {"name": "Pausada"}]},
    },
    {"name": "Consejo", "type": "multilineText"},
    {
        "name": "Criticidad", "type": "singleSelect",
        "options": {"choices": [{"name": "Crítico"}, {"name": "Peligro"}, {"name": "Mantener"}]},
    },
    {"name": "Log",                    "type": "multilineText"},
    {"name": "ConvLeadsLakeMesFinal",  "type": "number", "options": {"precision": 0}},
])

print(f"""
{'='*55}
  Listo. En Airtable ya existen 'Meta Ads Campaigns' y 'MetaCampaignMes'.
  No hace falta añadir nada a .env: AIRTABLE_TOKEN / AIRTABLE_BASE_ID
  ya son los mismos que usa leads-optimizer.
{'='*55}
""")