From 3e269dde253f5e191bcf21daa862e654ae420f5e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Bruno=20Rigueti=20Brand=C3=A3o?=
 <44707636+rigueti-bruno@users.noreply.github.com>
Date: Mon, 29 Apr 2024 12:41:26 -0300
Subject: [PATCH] Notebook com ETL de Dados
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Extração de Dados de uma base SQL Server, tratamento dos dados via script em Python e carregamento dos Dados Tratados em uma nova base MySQL.
---
 ETL_Dados.ipynb | 1737 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 1737 insertions(+)
 create mode 100644 ETL_Dados.ipynb

diff --git a/ETL_Dados.ipynb b/ETL_Dados.ipynb
new file mode 100644
index 0000000..b7493ae
--- /dev/null
+++ b/ETL_Dados.ipynb
@@ -0,0 +1,1737 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "0 - Bibliotecas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import sqlalchemy as sq\n",
+    "from sqlalchemy import text\n",
+    "import pyodbc as po\n",
+    "import pymysql as pm\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "1 - Acesso à Base de Dados"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<>:1: SyntaxWarning: invalid escape sequence '\\S'\n",
+      "<>:1: SyntaxWarning: invalid escape sequence '\\S'\n",
+      "C:\\Users\\Controladoria\\AppData\\Local\\Temp\\ipykernel_8712\\1996456862.py:1: SyntaxWarning: invalid escape sequence '\\S'\n",
+      "  SERVER = 'CONTROLADORIA\\SQLEXPRESS'\n"
+     ]
+    }
+   ],
+   "source": [
+    "SERVER = 'CONTROLADORIA\\SQLEXPRESS'\n",
+    "DATABASE = 'Service'\n",
+    "DRIVER = 'SQL Server Native Client 11.0'\n",
+    "USERNAME = ''\n",
+    "PASSWORD = ''\n",
+    "DATABASE_CONNECTION = f'mssql://{USERNAME}:{PASSWORD}@{SERVER}/{DATABASE}?driver={DRIVER}'\n",
+    "\n",
+    "engine = sq.create_engine(DATABASE_CONNECTION)\n",
+    "connection = engine.connect()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "2 - Acesso às Tabelas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ContasPagar = pd.read_sql_query('SELECT * FROM [Service].[dbo].[ContasPagar] where ValorDuplicata > 0 and Pago = 0',connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ContasPagas = pd.read_sql_query('SELECT * FROM [Service].[dbo].[ContasPagar] where Pago = 1',connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ContasReceber = pd.read_sql_query('SELECT * FROM [Service].[dbo].[ContasReceber] where Pago = 0',connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ContasRecebidas = pd.read_sql_query('SELECT * FROM [Service].[dbo].[ContasReceber] where Pago = 1',connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Clientes = pd.read_sql_query(\"SELECT * FROM [Service].[dbo].[clientes] where tipo <> 'F'\",connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Fornecedores = pd.read_sql_query(\"SELECT * FROM [Service].[dbo].[clientes] where tipo = 'F'\",connection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Rubricas = pd.read_excel('CentroResultados.xlsx')\n",
+    "Rubricas = Rubricas.query(\"ApuraResultado == True\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Classes = pd.read_csv('Classe.csv',sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Empresas = pd.read_csv('Empresas.csv',sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PE = pd.read_csv('PontoEquilibrio.csv',sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Receita = pd.read_csv('Receita.csv',sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Gasto = pd.read_csv('Gasto.csv',sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "NotasFiscais = pd.read_sql_query(\"SELECT * FROM [Service].[dbo].[NotasFiscaisSaída] where Status <> 'C'\",connection)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "3 - Extração dos Dados"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "APagar = ContasPagar.filter(['CodInterno','Empresa','CentroResultados','Fornecedor','DataEmissão','Vencimento','ValorDuplicata'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Pagos = ContasPagas.filter(['CodInterno','Empresa','CentroResultados','Fornecedor','DataEmissão','Vencimento','DataPagamento','ValorDuplicata'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AReceber = ContasReceber.filter(['CodInterno','Empresa','CentroResultados','Cliente','DataEmissão','Vencimento','ValorDuplicata'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Recebido = ContasRecebidas.filter(['CodInterno','Empresa','CentroResultados','Cliente','DataEmissão','Vencimento','DataPagamento','ValorDuplicata'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Cliente = Clientes.filter(['CodCliente','CentroResultados','Nome'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Fornecedor = Fornecedores.filter(['CodCliente','Nome'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Faturamento = NotasFiscais.filter(['CodInterno','Empresa','Cliente','DataEmissão','ValorNota'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "4 - Ajustes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "4.1 - Renomear Colunas:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "APagar = APagar.rename(columns={'CentroResultados':'CodGasto','Fornecedor':'CodFornecedor','DataEmissão':'Emissao'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Pagos = Pagos.rename(columns={'CentroResultados':'CodGasto','Fornecedor':'CodFornecedor','DataEmissão':'Emissao'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AReceber = AReceber.rename(columns={'CentroResultados':'CodReceita','Cliente':'CodCliente','DataEmissão':'Emissao'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Recebido = Recebido.rename(columns={'CentroResultados':'CodReceita','Cliente':'CodCliente','DataEmissão':'Emissao'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Faturamento = Faturamento.rename(columns={'Cliente':'CodCliente','DataEmissão':'Emissao'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Cliente = Cliente.rename(columns={'CentroResultados':'CodReceita','Nome':\"Cliente\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Fornecedor = Fornecedor.rename(columns={'CodCliente':'CodFornecedor','Nome':\"Fornecedor\"})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "4.2 - Corrigir Tipos de Dados"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno               float64\n",
+       "Empresa                   object\n",
+       "CodGasto                 float64\n",
+       "CodFornecedor            float64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "APagar.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno                 int64\n",
+       "Empresa                    int64\n",
+       "CodGasto                   int64\n",
+       "CodFornecedor              int64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "APagar = APagar.astype({'CodInterno':'int64','Empresa':'int64','CodGasto':'int64','CodFornecedor':'int64','Emissao':'datetime64[ns]','Vencimento':'datetime64[ns]','ValorDuplicata':'float64'})\n",
+    "APagar.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno               float64\n",
+       "Empresa                   object\n",
+       "CodGasto                 float64\n",
+       "CodFornecedor            float64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "DataPagamento     datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pagos.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno                 int64\n",
+       "Empresa                    int64\n",
+       "CodGasto                   int64\n",
+       "CodFornecedor              int64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "DataPagamento     datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Pagos = Pagos.astype({'CodInterno':'int64','Empresa':'int64','CodGasto':'int64','CodFornecedor':'int64','Emissao':'datetime64[ns]','Vencimento':'datetime64[ns]','DataPagamento':'datetime64[ns]','ValorDuplicata':'float64'})\n",
+    "Pagos.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno               float64\n",
+       "Empresa                   object\n",
+       "CodReceita               float64\n",
+       "CodCliente               float64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AReceber.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno                 int64\n",
+       "Empresa                    int64\n",
+       "CodReceita                 int64\n",
+       "CodCliente                 int64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AReceber = AReceber.astype({'CodInterno':'int64','Empresa':'int64','CodReceita':'int64','CodCliente':'int64','Emissao':'datetime64[ns]','Vencimento':'datetime64[ns]','ValorDuplicata':'float64'})\n",
+    "AReceber.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno               float64\n",
+       "Empresa                   object\n",
+       "CodReceita               float64\n",
+       "CodCliente               float64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "DataPagamento     datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Recebido.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno                 int64\n",
+       "Empresa                    int64\n",
+       "CodReceita                 int64\n",
+       "CodCliente                 int64\n",
+       "Emissao           datetime64[ns]\n",
+       "Vencimento        datetime64[ns]\n",
+       "DataPagamento     datetime64[ns]\n",
+       "ValorDuplicata           float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Recebido = Recebido.astype({'CodInterno':'int64','Empresa':'int64','CodReceita':'int64','CodCliente':'int64','Emissao':'datetime64[ns]','Vencimento':'datetime64[ns]','DataPagamento':'datetime64[ns]','ValorDuplicata':'float64'})\n",
+    "Recebido.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno           float64\n",
+       "Empresa                int64\n",
+       "CodCliente           float64\n",
+       "Emissao       datetime64[ns]\n",
+       "ValorNota            float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Faturamento.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodInterno             int64\n",
+       "Empresa                int64\n",
+       "CodCliente             int64\n",
+       "Emissao       datetime64[ns]\n",
+       "ValorNota            float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Faturamento = Faturamento.astype({'CodInterno':'int64','Empresa':'int64','CodCliente':'int64','Emissao':'datetime64[ns]','ValorNota':'float64'})\n",
+    "Faturamento.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CodCliente</th>\n",
+       "      <th>CodReceita</th>\n",
+       "      <th>Cliente</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>35.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>CONSUMIDOR ESPECIAL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>146.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>BRAZ DA SILVA XIMENES</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>147.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>BRUNO ALMEIDA BASTOS DA SILVEIRA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>154.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>CONDOMÍNIO RESIDENCIAL VIENA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>194.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>LUKKENT TECHNOLOGIES LTDA EPP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1505</th>\n",
+       "      <td>1369.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>SINDICATO NACIONAL DOS OFICIAIS DA MARINHA MER...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1506</th>\n",
+       "      <td>569.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>MARTI DA SERRA COMERCIO E REPRESENTACOES LTDA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1507</th>\n",
+       "      <td>1590.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>ALEXANDRO CHERIGATI</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1508</th>\n",
+       "      <td>1134.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>FERREIRA E BASTOS DISTRIBUIDORA LTDA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1509</th>\n",
+       "      <td>1522.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>G. CAMPOS PRUDENTE ROUPAS LTDA</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1510 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      CodCliente  CodReceita  \\\n",
+       "0           35.0        43.0   \n",
+       "1          146.0        43.0   \n",
+       "2          147.0        43.0   \n",
+       "3          154.0        43.0   \n",
+       "4          194.0        43.0   \n",
+       "...          ...         ...   \n",
+       "1505      1369.0        85.0   \n",
+       "1506       569.0        43.0   \n",
+       "1507      1590.0        16.0   \n",
+       "1508      1134.0        43.0   \n",
+       "1509      1522.0        93.0   \n",
+       "\n",
+       "                                                Cliente  \n",
+       "0                                   CONSUMIDOR ESPECIAL  \n",
+       "1                                 BRAZ DA SILVA XIMENES  \n",
+       "2                      BRUNO ALMEIDA BASTOS DA SILVEIRA  \n",
+       "3                          CONDOMÍNIO RESIDENCIAL VIENA  \n",
+       "4                         LUKKENT TECHNOLOGIES LTDA EPP  \n",
+       "...                                                 ...  \n",
+       "1505  SINDICATO NACIONAL DOS OFICIAIS DA MARINHA MER...  \n",
+       "1506      MARTI DA SERRA COMERCIO E REPRESENTACOES LTDA  \n",
+       "1507                                ALEXANDRO CHERIGATI  \n",
+       "1508               FERREIRA E BASTOS DISTRIBUIDORA LTDA  \n",
+       "1509                     G. CAMPOS PRUDENTE ROUPAS LTDA  \n",
+       "\n",
+       "[1510 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Cliente"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodCliente    float64\n",
+       "CodReceita    float64\n",
+       "Cliente        object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Cliente.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodCliente      int64\n",
+       "CodReceita    float64\n",
+       "Cliente        object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 108,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Cliente = Cliente.astype({'CodCliente':'int64','CodReceita':'float64','Cliente':'str'})\n",
+    "Cliente.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CodFornecedor     int64\n",
+       "Fornecedor       object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Fornecedor = Fornecedor.astype({'CodFornecedor':'int64','Fornecedor':'str'})\n",
+    "Fornecedor.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CodFornecedor</th>\n",
+       "      <th>Fornecedor</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>166</td>\n",
+       "      <td>QTC BRASIL INDUSTRIA E BENEFICIAMENTO DE MATER...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>169</td>\n",
+       "      <td>INFOTEC COM. DE EQUIP. E SIST. DE SEGURANCA LTDA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>176</td>\n",
+       "      <td>SEGTEC DISTRIBUIDORA DE EQUIPAMENTOS DE SEGURA...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>178</td>\n",
+       "      <td>FUNDO DO REGIME GERAL DE PREVIDENCIA SOCIAL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>181</td>\n",
+       "      <td>BANCO PAN S.A.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>601</th>\n",
+       "      <td>2264</td>\n",
+       "      <td>JUNTA COMERCIAL DO ESTADO DO RIO DE JANEIRO - ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>602</th>\n",
+       "      <td>1253</td>\n",
+       "      <td>MUNICIPIO DE ITAPERUNA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>603</th>\n",
+       "      <td>285</td>\n",
+       "      <td>MATHIAS NETTO E REZENDE UTILIDADES LTDA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>604</th>\n",
+       "      <td>100</td>\n",
+       "      <td>NEOGUARD SEGURANCA ELETRONICA LTDA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>605</th>\n",
+       "      <td>866</td>\n",
+       "      <td>MEGA LIDER INFORMATICA EIRELI</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>606 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     CodFornecedor                                         Fornecedor\n",
+       "0              166  QTC BRASIL INDUSTRIA E BENEFICIAMENTO DE MATER...\n",
+       "1              169   INFOTEC COM. DE EQUIP. E SIST. DE SEGURANCA LTDA\n",
+       "2              176  SEGTEC DISTRIBUIDORA DE EQUIPAMENTOS DE SEGURA...\n",
+       "3              178        FUNDO DO REGIME GERAL DE PREVIDENCIA SOCIAL\n",
+       "4              181                                     BANCO PAN S.A.\n",
+       "..             ...                                                ...\n",
+       "601           2264  JUNTA COMERCIAL DO ESTADO DO RIO DE JANEIRO - ...\n",
+       "602           1253                             MUNICIPIO DE ITAPERUNA\n",
+       "603            285            MATHIAS NETTO E REZENDE UTILIDADES LTDA\n",
+       "604            100                 NEOGUARD SEGURANCA ELETRONICA LTDA\n",
+       "605            866                      MEGA LIDER INFORMATICA EIRELI\n",
+       "\n",
+       "[606 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Fornecedor"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "4.3 - Ajustes nos Registros"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emp1 = [43,47,35,7,19,93,22,17,16,8,166]\n",
+    "for x in emp1:\n",
+    "    for i, row in Recebido.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            Recebido.loc[i,'Empresa'] = 1\n",
+    "\n",
+    "for x in emp1:\n",
+    "    for i, row in AReceber.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            AReceber.loc[i,'Empresa'] = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i, row in Recebido.iterrows():\n",
+    "    if row['Empresa'] == 1001:\n",
+    "        Recebido.loc[i,'Empresa'] = 1\n",
+    "\n",
+    "for i, row in Recebido.iterrows():\n",
+    "    if row['Empresa'] == 1002:\n",
+    "        Recebido.loc[i,'Empresa'] = 2\n",
+    "\n",
+    "for i, row in Recebido.iterrows():\n",
+    "    if row['Empresa'] == 1003:\n",
+    "        Recebido.loc[i,'Empresa'] = 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i, row in AReceber.iterrows():\n",
+    "    if row['Empresa'] == 1001:\n",
+    "        AReceber.loc[i,'Empresa'] = 1\n",
+    "\n",
+    "for i, row in AReceber.iterrows():\n",
+    "    if row['Empresa'] == 1002:\n",
+    "        AReceber.loc[i,'Empresa'] = 2\n",
+    "\n",
+    "for i, row in AReceber.iterrows():\n",
+    "    if row['Empresa'] == 1003:\n",
+    "        AReceber.loc[i,'Empresa'] = 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emp2 = [85,165,171,182]\n",
+    "for x in emp2:\n",
+    "    for i, row in Recebido.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            Recebido.loc[i,'Empresa'] = 2\n",
+    "\n",
+    "for x in emp2:\n",
+    "    for i, row in AReceber.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            AReceber.loc[i,'Empresa'] = 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "emp3 = [76,207]\n",
+    "for x in emp3:\n",
+    "    for i, row in Recebido.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            Recebido.loc[i,'Empresa'] = 3\n",
+    "\n",
+    "for x in emp3:\n",
+    "    for i, row in AReceber.iterrows():\n",
+    "        if row['CodReceita'] == x:\n",
+    "            AReceber.loc[i,'Empresa'] = 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i, row in APagar.iterrows():\n",
+    "    if row['Empresa'] == 1001:\n",
+    "        APagar.loc[i,'Empresa'] = 1\n",
+    "\n",
+    "for i, row in APagar.iterrows():\n",
+    "    if row['Empresa'] == 1002:\n",
+    "        APagar.loc[i,'Empresa'] = 2\n",
+    "\n",
+    "for i, row in APagar.iterrows():\n",
+    "    if row['Empresa'] == 1003:\n",
+    "        APagar.loc[i,'Empresa'] = 3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i, row in Pagos.iterrows():\n",
+    "    if row['Empresa'] == 1001:\n",
+    "        Pagos.loc[i,'Empresa'] = 1\n",
+    "\n",
+    "for i, row in Pagos.iterrows():\n",
+    "    if row['Empresa'] == 1002:\n",
+    "        Pagos.loc[i,'Empresa'] = 2\n",
+    "\n",
+    "for i, row in Pagos.iterrows():\n",
+    "    if row['Empresa'] == 1003:\n",
+    "        Pagos.loc[i,'Empresa'] = 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "5 - Carregar os Dados"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "5.1 - Fatos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "APagar.to_csv(\"APagar.csv\",encoding='utf-8',index=False)\n",
+    "Pagos.to_csv(\"Pagos.csv\",encoding='utf-8',index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AReceber.to_csv(\"AReceber.csv\",encoding='utf-8',index=False)\n",
+    "Recebido.to_csv(\"Recebido.csv\",encoding='utf-8',index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Faturamento.to_csv(\"Faturamento.csv\",encoding='utf-8',index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "5.2 - Dimensões"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Cliente.to_csv(\"Cliente.csv\",encoding='utf-8',index=False)\n",
+    "Fornecedor.to_csv(\"Fornecedor.csv\",encoding='utf-8',index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "5.3 - Carregando para o MySQL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:44,243 INFO sqlalchemy.engine.Engine SELECT DATABASE()\n",
+      "2024-04-29 08:22:44,243 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,245 INFO sqlalchemy.engine.Engine SELECT @@sql_mode\n",
+      "2024-04-29 08:22:44,245 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,246 INFO sqlalchemy.engine.Engine SELECT @@lower_case_table_names\n",
+      "2024-04-29 08:22:44,247 INFO sqlalchemy.engine.Engine [raw sql] {}\n"
+     ]
+    }
+   ],
+   "source": [
+    "url = 'mysql+pymysql://root:1508@localhost:3306/neoguardcontrol' # define o acesso ao MySQL\n",
+    "\n",
+    "engine = sq.create_engine(url, echo=True) # cria a Conexão\n",
+    "\n",
+    "con = engine.connect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:44,259 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:44,260 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`apagar`\n",
+      "2024-04-29 08:22:44,261 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,265 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`apagar`\n",
+      "2024-04-29 08:22:44,266 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,268 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:44,268 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,270 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:44,271 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,274 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `apagar`\n",
+      "2024-04-29 08:22:44,274 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,277 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE apagar\n",
+      "2024-04-29 08:22:44,278 INFO sqlalchemy.engine.Engine [no key 0.00045s] {}\n",
+      "2024-04-29 08:22:44,292 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE apagar (\n",
+      "\t`CodInterno` BIGINT, \n",
+      "\t`Empresa` BIGINT, \n",
+      "\t`CodGasto` BIGINT, \n",
+      "\t`CodFornecedor` BIGINT, \n",
+      "\t`Emissao` DATETIME, \n",
+      "\t`Vencimento` DATETIME, \n",
+      "\t`ValorDuplicata` FLOAT(53)\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:44,293 INFO sqlalchemy.engine.Engine [no key 0.00068s] {}\n",
+      "2024-04-29 08:22:44,319 INFO sqlalchemy.engine.Engine INSERT INTO apagar (`CodInterno`, `Empresa`, `CodGasto`, `CodFornecedor`, `Emissao`, `Vencimento`, `ValorDuplicata`) VALUES (%(CodInterno)s, %(Empresa)s, %(CodGasto)s, %(CodFornecedor)s, %(Emissao)s, %(Vencimento)s, %(ValorDuplicata)s)\n",
+      "2024-04-29 08:22:44,320 INFO sqlalchemy.engine.Engine [generated in 0.00499s] [{'CodInterno': 46810, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 5, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46811, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 6, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46812, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 7, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46813, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 8, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46814, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 9, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46815, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 10, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46816, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 11, 10, 0, 0), 'ValorDuplicata': 297.95}, {'CodInterno': 46817, 'Empresa': 1, 'CodGasto': 130, 'CodFornecedor': 293, 'Emissao': datetime.datetime(2020, 7, 3, 0, 0), 'Vencimento': datetime.datetime(2024, 12, 10, 0, 0), 'ValorDuplicata': 297.95}  ... displaying 10 of 918 total bound parameter sets ...  {'CodInterno': 78311, 'Empresa': 2, 'CodGasto': 556, 'CodFornecedor': 818, 'Emissao': datetime.datetime(2023, 2, 7, 0, 0), 'Vencimento': datetime.datetime(2028, 1, 28, 0, 0), 'ValorDuplicata': 2003.6}, {'CodInterno': 88895, 'Empresa': 1, 'CodGasto': 991, 'CodFornecedor': 331, 'Emissao': datetime.datetime(2023, 3, 16, 0, 0), 'Vencimento': datetime.datetime(2023, 3, 16, 0, 0), 'ValorDuplicata': 192.89}]\n",
+      "2024-04-29 08:22:44,353 INFO sqlalchemy.engine.Engine COMMIT\n",
+      "2024-04-29 08:22:44,369 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:44,372 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`pagos`\n",
+      "2024-04-29 08:22:44,373 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,376 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`pagos`\n",
+      "2024-04-29 08:22:44,376 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,379 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:44,380 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,383 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:44,383 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,386 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `pagos`\n",
+      "2024-04-29 08:22:44,386 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:44,389 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE pagos\n",
+      "2024-04-29 08:22:44,389 INFO sqlalchemy.engine.Engine [no key 0.00062s] {}\n",
+      "2024-04-29 08:22:44,429 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE pagos (\n",
+      "\t`CodInterno` BIGINT, \n",
+      "\t`Empresa` BIGINT, \n",
+      "\t`CodGasto` BIGINT, \n",
+      "\t`CodFornecedor` BIGINT, \n",
+      "\t`Emissao` DATETIME, \n",
+      "\t`Vencimento` DATETIME, \n",
+      "\t`DataPagamento` DATETIME, \n",
+      "\t`ValorDuplicata` FLOAT(53)\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:44,430 INFO sqlalchemy.engine.Engine [no key 0.00044s] {}\n",
+      "2024-04-29 08:22:44,602 INFO sqlalchemy.engine.Engine INSERT INTO pagos (`CodInterno`, `Empresa`, `CodGasto`, `CodFornecedor`, `Emissao`, `Vencimento`, `DataPagamento`, `ValorDuplicata`) VALUES (%(CodInterno)s, %(Empresa)s, %(CodGasto)s, %(CodFornecedor)s, %(Emissao)s, %(Vencimento)s, %(DataPagamento)s, %(ValorDuplicata)s)\n",
+      "2024-04-29 08:22:44,603 INFO sqlalchemy.engine.Engine [generated in 0.06022s] [{'CodInterno': 43102, 'Empresa': 1, 'CodGasto': 1252, 'CodFornecedor': 174, 'Emissao': datetime.datetime(2018, 11, 7, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 13, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 13, 0, 0), 'ValorDuplicata': 1977.0}, {'CodInterno': 43103, 'Empresa': 1, 'CodGasto': 396, 'CodFornecedor': 175, 'Emissao': datetime.datetime(2018, 11, 6, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 20, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 20, 0, 0), 'ValorDuplicata': 579.57}, {'CodInterno': 43104, 'Empresa': 1, 'CodGasto': 10584, 'CodFornecedor': 136, 'Emissao': datetime.datetime(2018, 8, 8, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 20, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 20, 0, 0), 'ValorDuplicata': 59.9}, {'CodInterno': 43105, 'Empresa': 1, 'CodGasto': 28, 'CodFornecedor': 168, 'Emissao': datetime.datetime(2018, 11, 5, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 20, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 20, 0, 0), 'ValorDuplicata': 4458.25}, {'CodInterno': 43110, 'Empresa': 1, 'CodGasto': 559, 'CodFornecedor': 178, 'Emissao': datetime.datetime(2018, 11, 13, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 19, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 19, 0, 0), 'ValorDuplicata': 1221.45}, {'CodInterno': 43111, 'Empresa': 1, 'CodGasto': 559, 'CodFornecedor': 177, 'Emissao': datetime.datetime(2018, 11, 12, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 19, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 19, 0, 0), 'ValorDuplicata': 1384.81}, {'CodInterno': 43112, 'Empresa': 1, 'CodGasto': 191, 'CodFornecedor': 171, 'Emissao': datetime.datetime(2018, 10, 17, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 16, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 16, 0, 0), 'ValorDuplicata': 373.47}, {'CodInterno': 43113, 'Empresa': 1, 'CodGasto': 191, 'CodFornecedor': 171, 'Emissao': datetime.datetime(2018, 8, 16, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 14, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 19, 0, 0), 'ValorDuplicata': 291.45}  ... displaying 10 of 17833 total bound parameter sets ...  {'CodInterno': 88954, 'Empresa': 2, 'CodGasto': 299, 'CodFornecedor': 1181, 'Emissao': datetime.datetime(2023, 3, 20, 0, 0), 'Vencimento': datetime.datetime(2023, 3, 20, 0, 0), 'DataPagamento': datetime.datetime(2023, 3, 22, 0, 0), 'ValorDuplicata': 570.9}, {'CodInterno': 88958, 'Empresa': 1, 'CodGasto': 299, 'CodFornecedor': 548, 'Emissao': datetime.datetime(2023, 3, 21, 0, 0), 'Vencimento': datetime.datetime(2023, 3, 21, 0, 0), 'DataPagamento': datetime.datetime(2023, 3, 21, 0, 0), 'ValorDuplicata': 243.0}]\n",
+      "2024-04-29 08:22:45,169 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "17833"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "APagar.to_sql('apagar', con=engine, if_exists='replace', index=False)\n",
+    "Pagos.to_sql('pagos', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:45,216 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:45,218 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`areceber`\n",
+      "2024-04-29 08:22:45,219 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,222 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`areceber`\n",
+      "2024-04-29 08:22:45,222 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,225 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:45,225 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,227 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:45,227 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,230 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `areceber`\n",
+      "2024-04-29 08:22:45,230 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,232 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE areceber\n",
+      "2024-04-29 08:22:45,233 INFO sqlalchemy.engine.Engine [no key 0.00048s] {}\n",
+      "2024-04-29 08:22:45,248 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE areceber (\n",
+      "\t`CodInterno` BIGINT, \n",
+      "\t`Empresa` BIGINT, \n",
+      "\t`CodReceita` BIGINT, \n",
+      "\t`CodCliente` BIGINT, \n",
+      "\t`Emissao` DATETIME, \n",
+      "\t`Vencimento` DATETIME, \n",
+      "\t`ValorDuplicata` FLOAT(53)\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:45,248 INFO sqlalchemy.engine.Engine [no key 0.00058s] {}\n",
+      "2024-04-29 08:22:45,276 INFO sqlalchemy.engine.Engine INSERT INTO areceber (`CodInterno`, `Empresa`, `CodReceita`, `CodCliente`, `Emissao`, `Vencimento`, `ValorDuplicata`) VALUES (%(CodInterno)s, %(Empresa)s, %(CodReceita)s, %(CodCliente)s, %(Emissao)s, %(Vencimento)s, %(ValorDuplicata)s)\n",
+      "2024-04-29 08:22:45,276 INFO sqlalchemy.engine.Engine [generated in 0.00644s] [{'CodInterno': 192551, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 856, 'Emissao': datetime.datetime(2021, 1, 25, 0, 0), 'Vencimento': datetime.datetime(2021, 6, 15, 0, 0), 'ValorDuplicata': 70.8}, {'CodInterno': 177186, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 364, 'Emissao': datetime.datetime(2019, 8, 28, 0, 0), 'Vencimento': datetime.datetime(2019, 10, 25, 0, 0), 'ValorDuplicata': 389.15}, {'CodInterno': 177187, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 364, 'Emissao': datetime.datetime(2019, 8, 28, 0, 0), 'Vencimento': datetime.datetime(2019, 11, 15, 0, 0), 'ValorDuplicata': 389.15}, {'CodInterno': 177563, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 244, 'Emissao': datetime.datetime(2019, 11, 1, 0, 0), 'Vencimento': datetime.datetime(2019, 12, 6, 0, 0), 'ValorDuplicata': 1048.88}, {'CodInterno': 177564, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 244, 'Emissao': datetime.datetime(2019, 11, 1, 0, 0), 'Vencimento': datetime.datetime(2020, 1, 6, 0, 0), 'ValorDuplicata': 1048.88}, {'CodInterno': 177565, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 244, 'Emissao': datetime.datetime(2019, 11, 1, 0, 0), 'Vencimento': datetime.datetime(2020, 2, 6, 0, 0), 'ValorDuplicata': 1048.88}, {'CodInterno': 177566, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 244, 'Emissao': datetime.datetime(2019, 11, 1, 0, 0), 'Vencimento': datetime.datetime(2020, 3, 6, 0, 0), 'ValorDuplicata': 1048.88}, {'CodInterno': 177567, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 244, 'Emissao': datetime.datetime(2019, 11, 1, 0, 0), 'Vencimento': datetime.datetime(2020, 4, 6, 0, 0), 'ValorDuplicata': 1048.89}  ... displaying 10 of 1636 total bound parameter sets ...  {'CodInterno': 227774, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 1279, 'Emissao': datetime.datetime(2023, 3, 22, 0, 0), 'Vencimento': datetime.datetime(2023, 4, 15, 0, 0), 'ValorDuplicata': 59.0}, {'CodInterno': 227778, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 1226, 'Emissao': datetime.datetime(2023, 3, 22, 0, 0), 'Vencimento': datetime.datetime(2023, 4, 25, 0, 0), 'ValorDuplicata': 59.0}]\n",
+      "2024-04-29 08:22:45,325 INFO sqlalchemy.engine.Engine COMMIT\n",
+      "2024-04-29 08:22:45,328 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:45,330 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`recebido`\n",
+      "2024-04-29 08:22:45,330 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,332 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`recebido`\n",
+      "2024-04-29 08:22:45,333 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,334 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:45,335 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,337 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:45,337 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,339 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `recebido`\n",
+      "2024-04-29 08:22:45,340 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:45,342 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE recebido\n",
+      "2024-04-29 08:22:45,342 INFO sqlalchemy.engine.Engine [no key 0.00044s] {}\n",
+      "2024-04-29 08:22:45,352 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE recebido (\n",
+      "\t`CodInterno` BIGINT, \n",
+      "\t`Empresa` BIGINT, \n",
+      "\t`CodReceita` BIGINT, \n",
+      "\t`CodCliente` BIGINT, \n",
+      "\t`Emissao` DATETIME, \n",
+      "\t`Vencimento` DATETIME, \n",
+      "\t`DataPagamento` DATETIME, \n",
+      "\t`ValorDuplicata` FLOAT(53)\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:45,352 INFO sqlalchemy.engine.Engine [no key 0.00046s] {}\n",
+      "2024-04-29 08:22:45,553 INFO sqlalchemy.engine.Engine INSERT INTO recebido (`CodInterno`, `Empresa`, `CodReceita`, `CodCliente`, `Emissao`, `Vencimento`, `DataPagamento`, `ValorDuplicata`) VALUES (%(CodInterno)s, %(Empresa)s, %(CodReceita)s, %(CodCliente)s, %(Emissao)s, %(Vencimento)s, %(DataPagamento)s, %(ValorDuplicata)s)\n",
+      "2024-04-29 08:22:45,554 INFO sqlalchemy.engine.Engine [generated in 0.12880s] [{'CodInterno': 175299, 'Empresa': 1, 'CodReceita': 43, 'CodCliente': 162, 'Emissao': datetime.datetime(2018, 11, 6, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 16, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 6, 0, 0), 'ValorDuplicata': 10.0}, {'CodInterno': 175311, 'Empresa': 1, 'CodReceita': 43, 'CodCliente': 115, 'Emissao': datetime.datetime(2018, 8, 15, 0, 0), 'Vencimento': datetime.datetime(2018, 12, 15, 0, 0), 'DataPagamento': datetime.datetime(2018, 12, 11, 0, 0), 'ValorDuplicata': 150.0}, {'CodInterno': 175312, 'Empresa': 1, 'CodReceita': 43, 'CodCliente': 108, 'Emissao': datetime.datetime(2017, 12, 20, 0, 0), 'Vencimento': datetime.datetime(2018, 12, 15, 0, 0), 'DataPagamento': datetime.datetime(2018, 12, 17, 0, 0), 'ValorDuplicata': 90.0}, {'CodInterno': 175507, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 153, 'Emissao': datetime.datetime(2018, 12, 6, 0, 0), 'Vencimento': datetime.datetime(2019, 1, 28, 0, 0), 'DataPagamento': datetime.datetime(2019, 1, 29, 0, 0), 'ValorDuplicata': 980.55}, {'CodInterno': 175314, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 123, 'Emissao': datetime.datetime(2018, 10, 30, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 15, 0, 0), 'DataPagamento': datetime.datetime(2018, 12, 17, 0, 0), 'ValorDuplicata': 78.66}, {'CodInterno': 175335, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 122, 'Emissao': datetime.datetime(2018, 10, 30, 0, 0), 'Vencimento': datetime.datetime(2018, 11, 15, 0, 0), 'DataPagamento': datetime.datetime(2018, 11, 16, 0, 0), 'ValorDuplicata': 720.0}, {'CodInterno': 175316, 'Empresa': 1, 'CodReceita': 43, 'CodCliente': 106, 'Emissao': datetime.datetime(2017, 12, 19, 0, 0), 'Vencimento': datetime.datetime(2018, 12, 15, 0, 0), 'DataPagamento': datetime.datetime(2018, 12, 5, 0, 0), 'ValorDuplicata': 90.0}, {'CodInterno': 175317, 'Empresa': 1, 'CodReceita': 16, 'CodCliente': 124, 'Emissao': datetime.datetime(2017, 12, 19, 0, 0), 'Vencimento': datetime.datetime(2018, 12, 20, 0, 0), 'DataPagamento': datetime.datetime(2019, 1, 4, 0, 0), 'ValorDuplicata': 49.0}  ... displaying 10 of 19735 total bound parameter sets ...  {'CodInterno': 227929, 'Empresa': 1, 'CodReceita': 43, 'CodCliente': 285, 'Emissao': datetime.datetime(2023, 3, 30, 0, 0), 'Vencimento': datetime.datetime(2023, 10, 5, 0, 0), 'DataPagamento': datetime.datetime(2023, 10, 5, 0, 0), 'ValorDuplicata': 224.0}, {'CodInterno': 227939, 'Empresa': 1, 'CodReceita': 47, 'CodCliente': 1046, 'Emissao': datetime.datetime(2023, 3, 30, 0, 0), 'Vencimento': datetime.datetime(2023, 3, 30, 0, 0), 'DataPagamento': datetime.datetime(2023, 3, 31, 0, 0), 'ValorDuplicata': 35.0}]\n",
+      "2024-04-29 08:22:46,195 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "19735"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "AReceber.to_sql('areceber', con=engine, if_exists='replace', index=False)\n",
+    "Recebido.to_sql('recebido', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:46,214 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:46,217 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`faturamento`\n",
+      "2024-04-29 08:22:46,217 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,220 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`faturamento`\n",
+      "2024-04-29 08:22:46,220 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,222 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,223 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,225 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,225 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,227 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `faturamento`\n",
+      "2024-04-29 08:22:46,228 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,230 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE faturamento\n",
+      "2024-04-29 08:22:46,231 INFO sqlalchemy.engine.Engine [no key 0.00070s] {}\n",
+      "2024-04-29 08:22:46,277 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE faturamento (\n",
+      "\t`CodInterno` BIGINT, \n",
+      "\t`Empresa` BIGINT, \n",
+      "\t`CodCliente` BIGINT, \n",
+      "\t`Emissao` DATETIME, \n",
+      "\t`ValorNota` FLOAT(53)\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:46,278 INFO sqlalchemy.engine.Engine [no key 0.00069s] {}\n",
+      "2024-04-29 08:22:46,350 INFO sqlalchemy.engine.Engine INSERT INTO faturamento (`CodInterno`, `Empresa`, `CodCliente`, `Emissao`, `ValorNota`) VALUES (%(CodInterno)s, %(Empresa)s, %(CodCliente)s, %(Emissao)s, %(ValorNota)s)\n",
+      "2024-04-29 08:22:46,350 INFO sqlalchemy.engine.Engine [generated in 0.03547s] [{'CodInterno': 183280, 'Empresa': 1, 'CodCliente': 198, 'Emissao': datetime.datetime(2018, 11, 16, 0, 0), 'ValorNota': 39.35}, {'CodInterno': 183281, 'Empresa': 1, 'CodCliente': 199, 'Emissao': datetime.datetime(2018, 11, 19, 0, 0), 'ValorNota': 50.0}, {'CodInterno': 183282, 'Empresa': 1, 'CodCliente': 199, 'Emissao': datetime.datetime(2018, 11, 19, 0, 0), 'ValorNota': 30.0}, {'CodInterno': 183283, 'Empresa': 1, 'CodCliente': 193, 'Emissao': datetime.datetime(2018, 11, 20, 0, 0), 'ValorNota': 338.3}, {'CodInterno': 183284, 'Empresa': 1, 'CodCliente': 193, 'Emissao': datetime.datetime(2018, 11, 20, 0, 0), 'ValorNota': 200.0}, {'CodInterno': 183286, 'Empresa': 1001, 'CodCliente': 157, 'Emissao': datetime.datetime(2018, 11, 20, 0, 0), 'ValorNota': 2475.06}, {'CodInterno': 183278, 'Empresa': 1, 'CodCliente': 167, 'Emissao': datetime.datetime(2018, 11, 12, 0, 0), 'ValorNota': 6554.0}, {'CodInterno': 183285, 'Empresa': 1001, 'CodCliente': 158, 'Emissao': datetime.datetime(2018, 11, 20, 0, 0), 'ValorNota': 761.79}  ... displaying 10 of 15090 total bound parameter sets ...  {'CodInterno': 215274, 'Empresa': 1001, 'CodCliente': 320, 'Emissao': datetime.datetime(2023, 3, 22, 0, 0), 'ValorNota': 800.0}, {'CodInterno': 215398, 'Empresa': 1, 'CodCliente': 153, 'Emissao': datetime.datetime(2023, 4, 10, 0, 0), 'ValorNota': 2938.0}]\n",
+      "2024-04-29 08:22:46,697 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "15090"
+      ]
+     },
+     "execution_count": 125,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Faturamento.to_sql('faturamento', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:46,711 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:46,713 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`cliente`\n",
+      "2024-04-29 08:22:46,713 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,716 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`cliente`\n",
+      "2024-04-29 08:22:46,716 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,718 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,719 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,721 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,721 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,724 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `cliente`\n",
+      "2024-04-29 08:22:46,724 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,727 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE cliente\n",
+      "2024-04-29 08:22:46,727 INFO sqlalchemy.engine.Engine [no key 0.00049s] {}\n",
+      "2024-04-29 08:22:46,738 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE cliente (\n",
+      "\t`CodCliente` BIGINT, \n",
+      "\t`CodReceita` FLOAT(53), \n",
+      "\t`Cliente` TEXT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:46,739 INFO sqlalchemy.engine.Engine [no key 0.00065s] {}\n",
+      "2024-04-29 08:22:46,768 INFO sqlalchemy.engine.Engine INSERT INTO cliente (`CodCliente`, `CodReceita`, `Cliente`) VALUES (%(CodCliente)s, %(CodReceita)s, %(Cliente)s)\n",
+      "2024-04-29 08:22:46,769 INFO sqlalchemy.engine.Engine [generated in 0.00267s] [{'CodCliente': 35, 'CodReceita': 43.0, 'Cliente': 'CONSUMIDOR ESPECIAL'}, {'CodCliente': 146, 'CodReceita': 43.0, 'Cliente': 'BRAZ DA SILVA XIMENES'}, {'CodCliente': 147, 'CodReceita': 43.0, 'Cliente': 'BRUNO ALMEIDA BASTOS DA SILVEIRA'}, {'CodCliente': 154, 'CodReceita': 43.0, 'Cliente': 'CONDOMÍNIO RESIDENCIAL VIENA'}, {'CodCliente': 194, 'CodReceita': 43.0, 'Cliente': 'LUKKENT TECHNOLOGIES LTDA EPP'}, {'CodCliente': 199, 'CodReceita': 43.0, 'Cliente': 'RHUAN COSTA DOS SANTOS'}, {'CodCliente': 200, 'CodReceita': None, 'Cliente': 'MEGA POPULAR DROGARIA ITAPERUNA LTDA'}, {'CodCliente': 202, 'CodReceita': 43.0, 'Cliente': 'LUCIANO MIRANDA TEIXEIRA'}  ... displaying 10 of 1510 total bound parameter sets ...  {'CodCliente': 1134, 'CodReceita': 43.0, 'Cliente': 'FERREIRA E BASTOS DISTRIBUIDORA LTDA'}, {'CodCliente': 1522, 'CodReceita': 93.0, 'Cliente': 'G. CAMPOS PRUDENTE ROUPAS LTDA'}]\n",
+      "2024-04-29 08:22:46,798 INFO sqlalchemy.engine.Engine COMMIT\n",
+      "2024-04-29 08:22:46,801 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:46,802 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`fornecedor`\n",
+      "2024-04-29 08:22:46,802 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,804 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`fornecedor`\n",
+      "2024-04-29 08:22:46,804 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,806 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,807 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,809 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,810 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,811 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `fornecedor`\n",
+      "2024-04-29 08:22:46,812 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,813 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE fornecedor\n",
+      "2024-04-29 08:22:46,814 INFO sqlalchemy.engine.Engine [no key 0.00043s] {}\n",
+      "2024-04-29 08:22:46,823 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE fornecedor (\n",
+      "\t`CodFornecedor` BIGINT, \n",
+      "\t`Fornecedor` TEXT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:46,824 INFO sqlalchemy.engine.Engine [no key 0.00070s] {}\n",
+      "2024-04-29 08:22:46,843 INFO sqlalchemy.engine.Engine INSERT INTO fornecedor (`CodFornecedor`, `Fornecedor`) VALUES (%(CodFornecedor)s, %(Fornecedor)s)\n",
+      "2024-04-29 08:22:46,843 INFO sqlalchemy.engine.Engine [generated in 0.00132s] [{'CodFornecedor': 166, 'Fornecedor': 'QTC BRASIL INDUSTRIA E BENEFICIAMENTO DE MATERIAIS EIRELI'}, {'CodFornecedor': 169, 'Fornecedor': 'INFOTEC COM. DE EQUIP. E SIST. DE SEGURANCA LTDA'}, {'CodFornecedor': 176, 'Fornecedor': 'SEGTEC DISTRIBUIDORA DE EQUIPAMENTOS DE SEGURANCA ELETRONICA E INFORMATICA LTDA'}, {'CodFornecedor': 178, 'Fornecedor': 'FUNDO DO REGIME GERAL DE PREVIDENCIA SOCIAL'}, {'CodFornecedor': 181, 'Fornecedor': 'BANCO PAN S.A.'}, {'CodFornecedor': 174, 'Fornecedor': 'POSTO DE GASOLINA TIMBOZAO III LTDA'}, {'CodFornecedor': 183, 'Fornecedor': 'SEG CAMPOS-COMERCIO DE EQUIPAMENTOS ELETRONICOS LTDA'}, {'CodFornecedor': 185, 'Fornecedor': 'SUPERMERCADO FLUMINENSE DE ITAPERUNA LTDA'}  ... displaying 10 of 606 total bound parameter sets ...  {'CodFornecedor': 100, 'Fornecedor': 'NEOGUARD SEGURANCA ELETRONICA LTDA'}, {'CodFornecedor': 866, 'Fornecedor': 'MEGA LIDER INFORMATICA EIRELI'}]\n",
+      "2024-04-29 08:22:46,853 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "606"
+      ]
+     },
+     "execution_count": 126,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Cliente.to_sql('cliente', con=engine, if_exists='replace', index=False)\n",
+    "Fornecedor.to_sql('fornecedor', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:46,869 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:46,871 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`receita`\n",
+      "2024-04-29 08:22:46,872 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,875 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`receita`\n",
+      "2024-04-29 08:22:46,875 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,877 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,878 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,880 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,880 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,882 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `receita`\n",
+      "2024-04-29 08:22:46,882 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,884 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE receita\n",
+      "2024-04-29 08:22:46,885 INFO sqlalchemy.engine.Engine [no key 0.00046s] {}\n",
+      "2024-04-29 08:22:46,897 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE receita (\n",
+      "\t`CodReceita` BIGINT, \n",
+      "\t`CodClasse` BIGINT, \n",
+      "\t`Receita` TEXT, \n",
+      "\t`Tipo` TEXT, \n",
+      "\t`CodPE` BIGINT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:46,897 INFO sqlalchemy.engine.Engine [no key 0.00056s] {}\n",
+      "2024-04-29 08:22:46,947 INFO sqlalchemy.engine.Engine INSERT INTO receita (`CodReceita`, `CodClasse`, `Receita`, `Tipo`, `CodPE`) VALUES (%(CodReceita)s, %(CodClasse)s, %(Receita)s, %(Tipo)s, %(CodPE)s)\n",
+      "2024-04-29 08:22:46,948 INFO sqlalchemy.engine.Engine [generated in 0.00083s] [{'CodReceita': 43, 'CodClasse': 1, 'Receita': 'Receita monitoramento', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 47, 'CodClasse': 1, 'Receita': 'Receita venda de produtos', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 76, 'CodClasse': 1, 'Receita': 'Receita facilities', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 450, 'CodClasse': 1, 'Receita': 'Recebimento de empréstimo', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 1571, 'CodClasse': 1, 'Receita': 'Juros Recebidos', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 48, 'CodClasse': 1, 'Receita': 'Outras Entradas', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 207, 'CodClasse': 1, 'Receita': 'Receita limpeza e conservação', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 35, 'CodClasse': 1, 'Receita': 'Receita backup de imagens (mensal)', 'Tipo': 'R', 'CodPE': 10}  ... displaying 10 of 24 total bound parameter sets ...  {'CodReceita': 171, 'CodClasse': 1, 'Receita': 'Receita projetos energia solar', 'Tipo': 'R', 'CodPE': 10}, {'CodReceita': 182, 'CodClasse': 1, 'Receita': 'Receita escolta armada', 'Tipo': 'R', 'CodPE': 10}]\n",
+      "2024-04-29 08:22:46,950 INFO sqlalchemy.engine.Engine COMMIT\n",
+      "2024-04-29 08:22:46,953 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:46,956 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`gasto`\n",
+      "2024-04-29 08:22:46,957 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,959 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`gasto`\n",
+      "2024-04-29 08:22:46,959 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,962 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,962 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,964 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:46,964 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,966 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `gasto`\n",
+      "2024-04-29 08:22:46,966 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:46,968 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE gasto\n",
+      "2024-04-29 08:22:46,969 INFO sqlalchemy.engine.Engine [no key 0.00045s] {}\n",
+      "2024-04-29 08:22:46,979 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE gasto (\n",
+      "\t`CodGasto` BIGINT, \n",
+      "\t`CodClasse` BIGINT, \n",
+      "\t`Gasto` TEXT, \n",
+      "\t`Tipo` TEXT, \n",
+      "\t`CodPE` BIGINT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:46,980 INFO sqlalchemy.engine.Engine [no key 0.00047s] {}\n",
+      "2024-04-29 08:22:46,998 INFO sqlalchemy.engine.Engine INSERT INTO gasto (`CodGasto`, `CodClasse`, `Gasto`, `Tipo`, `CodPE`) VALUES (%(CodGasto)s, %(CodClasse)s, %(Gasto)s, %(Tipo)s, %(CodPE)s)\n",
+      "2024-04-29 08:22:46,998 INFO sqlalchemy.engine.Engine [generated in 0.00067s] [{'CodGasto': 186, 'CodClasse': 6, 'Gasto': 'Folha de pagamento neoguard vigilância', 'Tipo': 'D', 'CodPE': 20}, {'CodGasto': 180, 'CodClasse': 6, 'Gasto': 'Repouso remunerado', 'Tipo': 'D', 'CodPE': 20}, {'CodGasto': 87, 'CodClasse': 8, 'Gasto': 'GRU', 'Tipo': 'D', 'CodPE': 20}, {'CodGasto': 88, 'CodClasse': 3, 'Gasto': 'Desp. material de higiene e limpeza', 'Tipo': 'D', 'CodPE': 30}, {'CodGasto': 353, 'CodClasse': 9, 'Gasto': 'Ativos Imobilizados', 'Tipo': 'D', 'CodPE': 40}, {'CodGasto': 1031, 'CodClasse': 4, 'Gasto': 'Água Cedae', 'Tipo': 'D', 'CodPE': 20}, {'CodGasto': 1029, 'CodClasse': 4, 'Gasto': 'Aluguel Base operacional', 'Tipo': 'D', 'CodPE': 20}, {'CodGasto': 109, 'CodClasse': 3, 'Gasto': 'Manutenção/ reparo de equipamentos de clientes', 'Tipo': 'D', 'CodPE': 30}  ... displaying 10 of 77 total bound parameter sets ...  {'CodGasto': 219, 'CodClasse': 6, 'Gasto': 'Acordo Judicial', 'Tipo': 'D', 'CodPE': 30}, {'CodGasto': 150, 'CodClasse': 8, 'Gasto': 'Encargos/Tarifas Polícia Federal', 'Tipo': 'D', 'CodPE': 30}]\n",
+      "2024-04-29 08:22:47,002 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "77"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Receita.to_sql('receita', con=engine, if_exists='replace', index=False)\n",
+    "Gasto.to_sql('gasto', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:47,014 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:47,016 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`classes`\n",
+      "2024-04-29 08:22:47,017 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,019 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`classes`\n",
+      "2024-04-29 08:22:47,019 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,021 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,022 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,024 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,024 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,026 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `classes`\n",
+      "2024-04-29 08:22:47,027 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,029 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE classes\n",
+      "2024-04-29 08:22:47,029 INFO sqlalchemy.engine.Engine [no key 0.00045s] {}\n",
+      "2024-04-29 08:22:47,038 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE classes (\n",
+      "\t`CodClasse` BIGINT, \n",
+      "\t`Classe` TEXT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:47,039 INFO sqlalchemy.engine.Engine [no key 0.00055s] {}\n",
+      "2024-04-29 08:22:47,060 INFO sqlalchemy.engine.Engine INSERT INTO classes (`CodClasse`, `Classe`) VALUES (%(CodClasse)s, %(Classe)s)\n",
+      "2024-04-29 08:22:47,061 INFO sqlalchemy.engine.Engine [generated in 0.00136s] [{'CodClasse': 1, 'Classe': 'Entradas'}, {'CodClasse': 2, 'Classe': 'Administrativas'}, {'CodClasse': 3, 'Classe': 'Despesa Operacional'}, {'CodClasse': 4, 'Classe': 'Despesas fixas'}, {'CodClasse': 5, 'Classe': 'Financiamentos'}, {'CodClasse': 6, 'Classe': 'Folha de Pagamento'}, {'CodClasse': 7, 'Classe': 'Fornecedores'}, {'CodClasse': 8, 'Classe': 'Impostos'}  ... displaying 10 of 12 total bound parameter sets ...  {'CodClasse': 11, 'Classe': 'Merc.Vendas'}, {'CodClasse': 12, 'Classe': 'Outros'}]\n",
+      "2024-04-29 08:22:47,063 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "12"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Classes.to_sql('classes', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:47,073 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:47,075 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`empresas`\n",
+      "2024-04-29 08:22:47,076 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,078 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`empresas`\n",
+      "2024-04-29 08:22:47,079 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,081 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,081 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,083 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,083 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,085 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `empresas`\n",
+      "2024-04-29 08:22:47,085 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,087 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE empresas\n",
+      "2024-04-29 08:22:47,088 INFO sqlalchemy.engine.Engine [no key 0.00068s] {}\n",
+      "2024-04-29 08:22:47,099 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE empresas (\n",
+      "\t`CodEmpresa` BIGINT, \n",
+      "\t`Empresa` TEXT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:47,100 INFO sqlalchemy.engine.Engine [no key 0.00077s] {}\n",
+      "2024-04-29 08:22:47,118 INFO sqlalchemy.engine.Engine INSERT INTO empresas (`CodEmpresa`, `Empresa`) VALUES (%(CodEmpresa)s, %(Empresa)s)\n",
+      "2024-04-29 08:22:47,119 INFO sqlalchemy.engine.Engine [generated in 0.00065s] [{'CodEmpresa': 1, 'Empresa': 'Neoguard Segurança Eletronica'}, {'CodEmpresa': 2, 'Empresa': 'Neoguard Vigilancia'}, {'CodEmpresa': 3, 'Empresa': 'Neoguard Serviços'}]\n",
+      "2024-04-29 08:22:47,121 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Empresas.to_sql('empresas', con=engine, if_exists='replace', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-04-29 08:22:47,131 INFO sqlalchemy.engine.Engine BEGIN (implicit)\n",
+      "2024-04-29 08:22:47,133 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`pe`\n",
+      "2024-04-29 08:22:47,134 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,136 INFO sqlalchemy.engine.Engine DESCRIBE `neoguardcontrol`.`pe`\n",
+      "2024-04-29 08:22:47,137 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,139 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,139 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,142 INFO sqlalchemy.engine.Engine SHOW FULL TABLES FROM `neoguardcontrol`\n",
+      "2024-04-29 08:22:47,142 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,144 INFO sqlalchemy.engine.Engine SHOW CREATE TABLE `pe`\n",
+      "2024-04-29 08:22:47,145 INFO sqlalchemy.engine.Engine [raw sql] {}\n",
+      "2024-04-29 08:22:47,146 INFO sqlalchemy.engine.Engine \n",
+      "DROP TABLE pe\n",
+      "2024-04-29 08:22:47,147 INFO sqlalchemy.engine.Engine [no key 0.00043s] {}\n",
+      "2024-04-29 08:22:47,163 INFO sqlalchemy.engine.Engine \n",
+      "CREATE TABLE pe (\n",
+      "\t`CodPE` BIGINT, \n",
+      "\t`PE` TEXT\n",
+      ")\n",
+      "\n",
+      "\n",
+      "2024-04-29 08:22:47,163 INFO sqlalchemy.engine.Engine [no key 0.00073s] {}\n",
+      "2024-04-29 08:22:47,183 INFO sqlalchemy.engine.Engine INSERT INTO pe (`CodPE`, `PE`) VALUES (%(CodPE)s, %(PE)s)\n",
+      "2024-04-29 08:22:47,184 INFO sqlalchemy.engine.Engine [generated in 0.00080s] [{'CodPE': 10, 'PE': 'receita'}, {'CodPE': 20, 'PE': 'fixo'}, {'CodPE': 30, 'PE': 'variavel'}, {'CodPE': 40, 'PE': 'investimento'}]\n",
+      "2024-04-29 08:22:47,186 INFO sqlalchemy.engine.Engine COMMIT\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "PE.to_sql('pe', con=engine, if_exists='replace', index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}