parameters: (key_name, csv_filename, yml_filename)
docstring: Given a file path to a single csv file convert it to a yaml file
  
          :param key_name: integration key name for root object
          :param csv_filename: path to input csv file
          :param yml_filename: path to output yml file
docstring_summary: Given a file path to a single csv file convert it to a yaml file
docstring_tokens: Given a file path to a single csv file convert it to a yaml file
function: def metric_csv_to_yaml(key_name, csv_filename, yml_filename):
          """
          Given a file path to a single csv file convert it to a yaml file
  
          :param key_name: integration key name for root object
          :param csv_filename: path to input csv file
          :param yml_filename: path to output yml file
          """
          yaml_data = {key_name: []}
          with open(csv_filename) as csv_file:
              reader = csv.DictReader(csv_file, delimiter=",")
              yaml_data[key_name] = [
                  dict(line) for line in reader
              ]
          if yaml_data[key_name]:
              # Transforming the metric description to html in order to interpret markdown in
              # integrations metrics table.
              # the char strip is to compensate for the lib adding <p> </p><br> tags
              for metric in yaml_data[key_name]:
                  metric['description'] = str(
                      markdown2.markdown(metric['description']))[3:-5]
              with open(
                  file=yml_filename,
                  mode="w",
                  encoding="utf-8",
              ) as f:
                  f.write(
                      yaml.dump(
                          yaml_data, default_flow_style=False
                      )
                  )
function_tokens: def metric_csv_to_yaml ( key_name , csv_filename , yml_filename ) : yaml_data = { key_name : [ ] } with open ( csv_filename ) as csv_file : reader = csv . DictReader ( csv_file , delimiter = "," ) yaml_data [ key_name ] = [ dict ( line ) for line in reader ] if yaml_data [ key_name ] : # Transforming the metric description to html in order to interpret markdown in # integrations metrics table. # the char strip is to compensate for the lib adding <p> </p><br> tags for metric in yaml_data [ key_name ] : metric [ 'description' ] = str ( markdown2 . markdown ( metric [ 'description' ] ) ) [ 3 : - 5 ] with open ( file = yml_filename , mode = "w" , encoding = "utf-8" , ) as f : f . write ( yaml . dump ( yaml_data , default_flow_style = False ) )