eng-rodrigocunha

"""
Formata arquivo leiaute de importação de permissionários do TSE
    Formata arquivo leiaute de importação de Permissionários de Serviços Públicos da 
    Secretaria Municipal de Transportes da Prefeitura da Cidade do Rio de Janeiro 
    ao Tribunal Superior Eleitoral
    https://www.tse.jus.br/eleicoes/eleicoes-2022/prestacao-de-contas/nota-fiscal-eletronica-e-informacoes-de-permissionarios-fiscalizaje
"""

# import sys
# !{sys.executable} -m pip install --upgrade numpy pandas

eng-rodrigocunha

// https://tanaikech.github.io/2023/01/10/merging-multiple-pdf-files-as-a-single-pdf-file-using-google-apps-script/
async function mergePDF() {
  // Informe o ID da planilha onde estão os links
  var planilhaId = "1Iq6DNGk8XkfOX3kp2HDmDb1Ac7vK76brkJc6T6oydNc";
  
  // Informe o nome da planilha que contém os links
  var nomePlanilha = "LINKS";
  
  // Obter a planilha
  var planilha = SpreadsheetApp.openById(planilhaId);

eng-rodrigocunha

import basedosdados as bd
import pandas as pd
import glob

bd.config.project_config_path = "D:\\basedosdados\\staging"

for hour in range(14, 24, 1):
    print(hour)
    st = bd.Storage(dataset_id="br_rj_riodejaneiro_onibus_gps", table_id="registros")
    st.download(savepath=".", partitions=f"data=2023-03-08/hora={hour}", mode="staging")

eng-rodrigocunha

/*
 * Convert PDF file to text
 * @param {string} fileId - The Google Drive ID of the PDF
 * @param {string} language - The language of the PDF text to use for OCR
 * return {string} - The extracted text of the PDF file
 * https://www.labnol.org/extract-text-from-pdf-220422
 * IMPORTANT! https://www.labnol.org/shared-drives-google-script-220128
 */

const convertPDFToText = (fileId, language) => {

eng-rodrigocunha

#!pip install pdfminer.six
import io
from pdfminer.high_level import extract_text

doses = ["Reforço", "Dose Adicional", "2/2", "1/2"]

# abrir o arquivo PDF
with open(r'E:\DOCUMENTOS PESSOAIS\Carteira Nacional de Vacinação Digital_4_DOSE.pdf', 'rb') as f:
    # extrair o texto do PDF
    text = extract_text(f)

eng-rodrigocunha

#!pip install requests
#!pip install beautifulsoup4

# https://stackoverflow.com/questions/63533115/extract-valid-email-address-using-regular-expression-and-beautifulsoup

import requests
import re
from bs4 import BeautifulSoup

email = re.compile(r'([a-zA-Z0-9._-]+@[a-zA-Z0-9._-]+\.[a-zA-Z0-9_-]+){0,}')

eng-rodrigocunha

#!/usr/bin/env ruby
# Generate a dbdiagram for dbdiagram.io from a dbt project.
#
# Usage:
#   1. Write your model schema.yml (there's another code in this gist to make it automatically)
#   2. Run `dbt docs generate` first.
#   3. Run `dbt_to_dbdiagram.rb`
#   4. Paste the output in https://dbdiagram.io/

require 'yaml'

eng-rodrigocunha

WITH
  columns AS (
  SELECT
    "      " || "- name: " || column_name || "\n" ||
    "      " || '  description: "' || column_name || '"' AS column_statement,
    table_name
  FROM
    `rj-smtr.veiculo`.INFORMATION_SCHEMA.COLUMNS ),
  tables AS (
  SELECT

eng-rodrigocunha

# Sumário por quinzena e consórcio
WITH
  sumario AS (
  SELECT
    EXTRACT(YEAR
    FROM
      DATA) AS ano,
    EXTRACT(MONTH
    FROM
      DATA) AS mes,

eng-rodrigocunha

#!pip install pdf-redactor

import re
from datetime import datetime

import pdf_redactor

## Set options.

options = pdf_redactor.RedactorOptions()