crspiccin

import zipfile
import io
import requests

def load_dataframe_from_http_zip_csv_file(endpoint, csv_filename,  engine='python', encoding='ISO-8859-1', delimiter=';', skiprows=0, index_col=None):
  response = requests.get(endpoint)
  zip_data = zipfile.ZipFile(io.BytesIO(response.content))
  zip_data.extract(csv_filename, path='extracted_directory')
  df = pd.read_csv(f'extracted_directory/{csv_filename}', encoding=encoding, delimiter=delimiter, engine=engine, skiprows=skiprows, index_col=index_col)
  return df

crspiccin

# list users from a cognito specific poll
aws cognito-idp list-users --user-pool-id us-east-1_aaaaa  > users.txt

# awk script save to script_parse_users.awk

# run the script printing "username,id" csv like
awk -f script_parse_users.awk users.txt

crspiccin

//http://www.hacksparrow.com/base64-encoding-decoding-in-node-js.html
var fs = require('fs');

// function to encode file data to base64 encoded string
function base64_encode(file) {
    // read binary data
    var bitmap = fs.readFileSync(file);
    // convert binary data to base64 encoded string
    return new Buffer(bitmap).toString('base64');
}

crspiccin

        // Get classloader libs
        
        ClassLoader tcl = Thread.currentThread().getContextClassLoader();
        Enumeration<URL> roots = tcl.getResources("");
        
        for(;roots.hasMoreElements();){
        	URL url = roots.nextElement();
        	System.out.println("URL: " + url.getPath());
        }