"""One-off script to import mock Modbus server points from Excel into PostgreSQL."""

from __future__ import annotations

from dataclasses import dataclass
from pathlib import Path

import psycopg2
from openpyxl import load_workbook
from psycopg2.extras import execute_values


BASE_DIR = Path(__file__).resolve().parent
EXCEL_PATH = BASE_DIR / "mock_modbus_server_points.xlsx"

DB_CONFIG = {
    "host": "192.168.1.109",
    "port": 48324,
    "dbname": "proj_dev2024_config",
    "user": "postgres",
    "password": "aragronprod",
}

TABLE_NAME = "modbus_server_point"
BATCH_SIZE = 200
EXPECTED_HEADERS = ["point_id", "name", "data_type", "slave_id", "address"]
SUPPORTED_DATA_TYPES = {"int16", "int32", "float32"}


@dataclass(frozen=True)
class ModbusPoint:
    point_id: str
    name: str
    data_type: str
    slave_id: int
    address: int


def main() -> None:
    points = load_points_from_xlsx(EXCEL_PATH)
    validate_points(points)
    insert_points(points)
    print(f"Inserted {len(points)} rows into {TABLE_NAME}")


def load_points_from_xlsx(path: Path) -> list[ModbusPoint]:
    if not path.exists():
        raise FileNotFoundError(path)

    workbook = load_workbook(path, read_only=True, data_only=True)
    worksheet = workbook.active

    try:
        rows = worksheet.iter_rows(values_only=True)
        headers = [normalize_header(value) for value in next(rows)]
        if headers != EXPECTED_HEADERS:
            raise ValueError(f"Excel headers must be {EXPECTED_HEADERS}, got {headers}")

        points: list[ModbusPoint] = []
        for row_number, row in enumerate(rows, start=2):
            if not any(value is not None and str(value).strip() for value in row):
                continue

            values = pad_row(list(row), len(EXPECTED_HEADERS))
            points.append(
                ModbusPoint(
                    point_id=require_text(values[0], row_number, "point_id"),
                    name=require_text(values[1], row_number, "name"),
                    data_type=require_text(values[2], row_number, "data_type"),
                    slave_id=require_int(values[3], row_number, "slave_id"),
                    address=require_int(values[4], row_number, "address"),
                )
            )
        return points
    finally:
        workbook.close()


def normalize_header(value: object) -> str:
    return "" if value is None else str(value).strip()


def pad_row(row: list[object], length: int) -> list[object | None]:
    return row[:length] + [None] * max(0, length - len(row))


def require_text(value: object, row_number: int, field: str) -> str:
    if value is None or str(value).strip() == "":
        raise ValueError(f"row {row_number}: {field} is required")
    return str(value).strip()


def require_int(value: object, row_number: int, field: str) -> int:
    if isinstance(value, bool):
        raise ValueError(f"row {row_number}: {field} must be an integer")
    if isinstance(value, int):
        return value
    if isinstance(value, float) and value.is_integer():
        return int(value)
    if isinstance(value, str) and value.strip().isdigit():
        return int(value.strip())
    raise ValueError(f"row {row_number}: {field} must be an integer")


def validate_points(points: list[ModbusPoint]) -> None:
    if not points:
        raise ValueError("Excel has no data rows")

    errors: list[str] = []
    seen_point_ids: set[str] = set()
    seen_slave_addresses: set[tuple[int, int]] = set()

    for point in points:
        if len(point.point_id) > 128:
            errors.append(f"point_id too long: {point.point_id}")
        if len(point.name) > 128:
            errors.append(f"name too long: {point.point_id}")
        if point.data_type not in SUPPORTED_DATA_TYPES:
            errors.append(f"unsupported data_type: {point.point_id}={point.data_type}")
        if not 1 <= point.slave_id <= 247:
            errors.append(f"slave_id out of range: {point.point_id}={point.slave_id}")
        if point.address < 0:
            errors.append(f"address out of range: {point.point_id}={point.address}")
        if point.point_id in seen_point_ids:
            errors.append(f"duplicate point_id: {point.point_id}")

        slave_address = (point.slave_id, point.address)
        if slave_address in seen_slave_addresses:
            errors.append(f"duplicate slave_id/address: {point.slave_id}/{point.address}")

        seen_point_ids.add(point.point_id)
        seen_slave_addresses.add(slave_address)

    if errors:
        preview = "\n".join(errors[:50])
        suffix = "" if len(errors) <= 50 else f"\n... total errors={len(errors)}"
        raise ValueError(f"Point validation failed:\n{preview}{suffix}")


def insert_points(points: list[ModbusPoint]) -> None:
    sql = f"""
        INSERT INTO {TABLE_NAME} (point_id, name, data_type, slave_id, address)
        VALUES %s
    """
    rows = [(point.point_id, point.name, point.data_type, point.slave_id, point.address) for point in points]

    conn = psycopg2.connect(**DB_CONFIG)
    try:
        with conn.cursor() as cursor:
            for start in range(0, len(rows), BATCH_SIZE):
                execute_values(cursor, sql, rows[start:start + BATCH_SIZE])
        conn.commit()
    except Exception:
        conn.rollback()
        raise
    finally:
        conn.close()


if __name__ == "__main__":
    main()