#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# @Version     : Python 3.11.4
# @Software    : Sublime Text 4
# @Author      : StudentCWZ
# @Email       : StudentCWZ@outlook.com
# @Date        : 2023/11/19 16:02
# @File        : log.py
# @Description : Defines the Log services for the application.
"""


from flask import current_app
from loguru import logger

from application.dao import LogDao
from application.schemas import ParseLogRequestItem


class LogService:

    @classmethod
    def parse(cls, item: ParseLogRequestItem) -> int:
        """
        Parse logs from Elasticsearch and process them according to the configured SQL commands.

        Args:
            item: The item containing the start and end dates for which logs are to be parsed.

        Returns:
            The result of the log parsing as an integer.

        Raises:
            ServerError: If there is an issue with the process.
        """

        # Retrieve the start and end date from the given item.
        start_date = item.start
        end_date = item.end

        # Log the time interval for debugging purposes.
        logger.debug(f'The interval of time is between {start_date} and {end_date}...')

        # Retrieve the Elasticsearch index from the current application's configuration.
        index = current_app.config.Elasticsearch.Index

        # Retrieve the MySQL configuration from the current application's configuration.
        cfg = current_app.config.ExtraDB

        # Retrieve the SQL to be executed from the MySQL configuration.
        sql = cfg.Sql

        # Construct a configuration dictionary for the MySQL database.
        options = {
            'host': cfg.Host,
            'user': cfg.User,
            'password': cfg.Password,
            'db': cfg.DB,
            'port': cfg.Port,
        }

        # Parse the logs using the LogDao class and return the result.
        return LogDao.parse(start_date, end_date, index, sql, options)