text: # MIT License
  #
  # Copyright (c) 2021 Dennis Schwarz
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in all
  # copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  import os
  import time
  from dlt_transformipy import dlt_transformipy
  
  dlt_test_file_path = "tests/example_files/testfile.dlt"
  test_output_file_path = "tests/output"
  csv_output_file_path = "tests/output/testfile.csv"
  
  
  def setup_module(module):
      """ setup any state specific to the execution of the given module."""
      if not os.path.exists(test_output_file_path):
          os.makedirs(test_output_file_path)
      elif os.path.exists(csv_output_file_path):
          os.remove(csv_output_file_path)
  
  
  def test_csv():
      dlt_file = dlt_transformipy.load(dlt_test_file_path)
      dlt_file.read()
      assert (
          len(dlt_file.get_messages()) > 0
      ), "DLTMessage size is 0 --> DLT messages could not be read properly!"
      dlt_transformipy.as_csv(dlt_file, csv_output_file_path)
      assert os.path.exists(csv_output_file_path) == 1, "{} does not exist!".format(
          csv_output_file_path
      )
  