104 lines
3.0 KiB
JavaScript
104 lines
3.0 KiB
JavaScript
// src/models/glpiModel.js
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const dbConfig = require('../config/dbConfig.js');
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const { logError, logInfo} = require('../utils/logger');
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const mysql = require('mysql2/promise');
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const pool = mysql.createPool({
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host: dbConfig.glpi.databaseHost,
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port: dbConfig.glpi.databasePort,
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database: dbConfig.glpi.databaseName,
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user: dbConfig.glpi.databaseUser,
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password: dbConfig.glpi.databasePassword,
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waitForConnections: true,
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connectionLimit: 10,
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queueLimit: 0
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});
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class GlpiModel {
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static async testConnection() {
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try {
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const connection = await pool.getConnection();
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logInfo('Conexão com o banco de dados do GLPI estabelecida com sucesso!');
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// Executa um select simples na tabela glpi_tickets
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const [rows, fields] = await connection.execute('SELECT 1 FROM glpi_tickets LIMIT 1');
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logInfo('Query SELECT 1 FROM glpi_tickets executada com sucesso!');
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connection.release();
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return true;
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} catch (error) {
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logError('Erro ao testar a conexão com o banco de dados do GLPI:', error);
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return false;
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}
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}
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static async insertTicket(ticketData) {
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const query = `
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INSERT INTO glpi_tickets(
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entities_id,
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name,
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date,
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date_mod,
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status,
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user_id_recipient,
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content,
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urgency,
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impact,
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priority,
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type,
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itilcategories_id,
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date_creation,
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slas_id_ttr
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)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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`;
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const values = [
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ticketData.entidades_id,
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ticketData.cliente_nome,
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ticketData.data_cadastro,
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ticketData.date_mod,
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ticketData.status_atendimento,
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ticketData.user_id_recipient,
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ticketData.descricao_abertura,
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ticketData.urgency,
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ticketData.impact,
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ticketData.priority,
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ticketData.type,
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ticketData.itilcategories_id,
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ticketData.date_creation,
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ticketData.slas_id_ttr
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];
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try {
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const [rows] = await pool.execute(query, values);
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logInfo('Ticket inserido com sucesso:', rows);
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return rows;
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} catch (error) {
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logError('Erro ao inserir ticket:', error);
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throw error;
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}
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}
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static async selectEntityId(entity_name) {
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const query = `SELECT id FROM glpi_entities WHERE name = ?;`;
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const values = [entity_name];
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try {
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const [rows] = await pool.execute(query, values);
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logInfo('Entidade encontrada:', rows[0]);
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return rows[0];
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} catch (err) {
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logError('Erro ao buscar entidade', err);
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throw err;
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}
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}
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}
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module.exports = GlpiModel; |