zephyr-uploader 1.0.0

Upload test execution results to Jira Zephyr. The input is an Excel document.

Description

Fluentd logging library used to support standardized testing. Takes as input an Excel document.
The Excel document can be generated with excel_generator

Description

Upload test results in Jira Zephyr library used to support standardized testing.

Call example

python -m zephyr_uploader --username auto-robot --password mySecretPasswd123! \
--jira_url http://jira.yourcompany.com/rest/ --project_key AIP --release_version 1.2-UP2020 --test_cycle Regression --report_path Regression_FTP.xls \
--no_of_threads=10 --folder_name Results --recreate_folder false 

Programmatic example from Excel file

zephyr_config_dict = {
        CliConstants.USERNAME: username,
        CliConstants.PASSWORD: password,
        CliConstants.JIRA_URL: jira_url,
        CliConstants.TEST_CYCLE: test_cycle,
        CliConstants.PROJECT_KEY: project_key,
        CliConstants.RELEASE_VERSION: release_version,
        CliConstants.REPORT_PATH: report_path,
        CliConstants.FOLDER_NAME: folder_name,
        CliConstants.NO_OF_THREADS: no_of_threads,
        CliConstants.RECREATE_FOLDER: recreate_folder,
        CliConstants.COMMENTS_COLUMN: comments_column,
        CliConstants.EXECUTION_STATUS_COLUMN: execution_status_column
    }
# zephyr_config_dict = EnvLoader().get_zephyr_config_from_env() <-use this one if you use an 'environment.properties'
zephyr_configurer = ZephyrConfigurer(zephyr_config_dict)
zephyr_configurer.validate()

try:
    sheet = pyexcel.get_sheet(file_name=zephyr_configurer.get_config().get(CliConstants.REPORT_PATH.value))
    excel_data = sheet.to_array()
    zephyr_uploader = ZephyrUploader(ZephyrService(zephyr_configurer))
    zephyr_uploader.upload_jira_zephyr(excel_data=excel_data)
except Exception as e:
    print(e.__str__())

Programmatic example with more granularity

folder_name_with_timestamp = self.config.get(CliConstants.FOLDER_NAME.value) + "_" + date.today().strftime(
            "%Y-%m-%d")

project_id = self.zephyr_service.get_project_id_by_key(self.config.get(CliConstants.PROJECT_KEY.value))
version_id = self.zephyr_service.get_version_for_project_id(self.config.get(CliConstants.RELEASE_VERSION.value),
                                                            project_id=project_id)
cycle_id = self.zephyr_service.get_cycle_id(self.config.get(CliConstants.TEST_CYCLE.value), project_id,
                                            version_id)
folder_id = self.zephyr_service.get_folder_id(folder_name=folder_name_with_timestamp, cycle_id=cycle_id,
                                              project_id=project_id, version_id=version_id)

if folder_id is not None and self.config.get(CliConstants.RECREATE_FOLDER.value):
    self.zephyr_service.delete_folder_from_cycle(folder_id=folder_id, project_id=project_id,
                                                 version_id=version_id, cycle_id=cycle_id)
    time.sleep(5)
    folder_id = self.zephyr_service.create_folder_under_cycle(folder_name=folder_name_with_timestamp)

if folder_id is None:
    folder_id = self.zephyr_service.create_folder_under_cycle(folder_name=folder_name_with_timestamp)

sheet = pyexcel.get_sheet(file_name=zephyr_configurer.get_config().get(CliConstants.REPORT_PATH.value))
excel_data = sheet.to_array()

for row in excel_data:
  jira_id = row[0]
  issue_id = self.zephyr_service.get_issue_by_key(jira_id)
  execution_id = self.zephyr_service.create_new_execution(issue_id=issue_id, zephyr_meta_info=zephyr_meta_info)
  if row[self.config.get(CliConstants.EXECUTION_STATUS_COLUMN.value)] == ExecutionStatus.SUCCESS.value:
      self.zephyr_service.update_execution(execution_id, TestStatus.PASSED.value,
                                           row[self.config.get(CliConstants.COMMENTS_COLUMN.value)])
  elif row[self.config.get(CliConstants.EXECUTION_STATUS_COLUMN.value)] == ExecutionStatus.FAILURE.value:
      self.zephyr_service.update_execution(execution_id, TestStatus.FAILED.value,
                                           row[self.config.get(CliConstants.COMMENTS_COLUMN.value)])
  else:
      self.zephyr_service.update_execution(execution_id, TestStatus.NOT_EXECUTED.value,
                                           row[self.config.get(CliConstants.COMMENTS_COLUMN.value)])

! Keep in mind

• You must have a column with the status of each test execution, and the values permitted are: SUCCESS / FAILURE. If none is present the test execution will be mapped as 'not executed'.
• You must specify the position of the above column from the Excel file. Default is the 6'th column. If you have the execution status on a different column please specify the position with the parameter 'executionStatusColumn'.
  E.g. -executionStatusColumn=6
• You also can specify the comments column. For example the link where the test logs are. The default is 8'th column.
  E.g. -commentsColumn=8
• Jira Ids column is always the first column in the Excel sheet

Precedence

The arguments set with CLI are stronger than the ones from environment (env vars or 'environment.properties' file).