#!/usr/bin/env python3
"""Normalize generated UAT KPI business facts to dashboard factory scope 1."""

from __future__ import annotations

import argparse
import json

from apply_sql_file import connect


TENANTS = (838257186181189, 838257212780613, 838257237606469)
TABLES = (
    ("crm_seorder", "bill_no"),
    ("crm_seorderentry", "bill_no"),
)


def apply() -> dict[str, int]:
    conn = connect()
    counts: dict[str, int] = {}
    try:
        conn.begin()
        with conn.cursor() as cursor:
            placeholders = ",".join(["%s"] * len(TENANTS))
            for table, biz_column in TABLES:
                cursor.execute(
                    f"""
                    UPDATE `{table}`
                    SET factory_id=1
                    WHERE tenant_id IN ({placeholders})
                      AND (`{biz_column}` LIKE 'UAT%%' OR `{biz_column}` LIKE 'DEMO-SO-%%')
                      AND COALESCE(NULLIF(factory_id,0),1)<>1
                    """,
                    TENANTS,
                )
                counts[table] = cursor.rowcount
        conn.commit()
    except Exception:
        conn.rollback()
        raise
    finally:
        conn.close()
    return counts


def main() -> int:
    parser = argparse.ArgumentParser()
    parser.add_argument("--apply", action="store_true")
    args = parser.parse_args()
    result = {"mode": "apply", "updated": apply()} if args.apply else {"mode": "dry-run", "tenants": TENANTS}
    print(json.dumps(result, ensure_ascii=False, indent=2))
    return 0


if __name__ == "__main__":
    raise SystemExit(main())