spl2-testing-framework 1.1.1b1

SPL2 Testing Framework

SPL2 Testing Framework

Overview

The SPL2 Testing Framework enables running SPL2 tests both locally ( or on any Splunk instance with SPL2 orchestrator), remotely (using external cloud environments) or using cli.

• For Cloud: It uses the Search Service API.
• For Splunk: It uses the Splunk Search API (with SPL2 support)
• For cli - it uses the internal spl2-processor-cli library. This option is not available for public usage, as spl2-processor-cli is a Splunk internal tool.

Prerequisites

1. Install Python and Poetry

1. Ensure python3.x is available
2. Install testing framework:
   • Install poetry and execute the command poetry install to create a virtual environment and install required dependencies.
   • OR
   • Install the library using pip: pip install spl2-testing-framework

2. Set configuration. It may be done in spl2_test_config.json file or environment variables

Note: setting configuration is necessary for running tests using splunk or cloud environment. For running tests using cli no configuration is required. The only requirement is to have this library installed, as described below

spl2_test_config.json - local file present in the current working directory (the directory from where tests are executed)

Configuration for running tests using cloud search client (Ingest processor)

• cloud_instance - address of Cloud host where the tests can be executed
  • e.g.: staging.scs.splunk.com
• tenant - tenant to use for testing
  • e.g.: spl2-content
• bearer_token - token used for authentication. To obtain the token, go to: https://console.[cloud_instance]/[tenant]/settings

Configuration for running tests using splunk search client (Splunk instance)

• host - address of Splunk host where the tests can be executed
  • e.g.: localhost or https://10.202.35.219
• port - port of Splunk host where the tests can be executed
  • usually 8089, but can be different
• user - user to authenticate
• password - password to authenticate

The same configuration can be done using environment variables(however, spl2_test_config.json has higher priority):

cloud search client

• SPL2_TF_CLOUD_INSTANCE => cloud_instance
• SPL2_TF_TENANT => tenant
• SPL2_TF_BEARER_TOKEN => bearer_token

splunk search client

• SPL2_TF_HOST => host
• SPL2_TF_PORT => port
• SPL2_TF_USER => user
• SPL2_TF_PASSWORD => password

3. Installing spl2-processor-cli (Splunk internal tool)

spl2-processor-cli can be installed using brew:

brew install spl2-processor-cli

Before installation, it may be necessary to authenticate to artifactory by running:

okta-artifactory-login -t generic

Running tests

To run tests, execute the command:

spl2_tests_run [cli|splunk|cloud]

In the directory where the tests are located. Test discovery is recursive, so it's possible to run tests even from the root directory of the project.

It is possible to pass more options to the command, which works also with pytest, e.g.:

• -k "filter" - to run only tests which name contains "filter"
• -v[vv] - to see more verbose output
• -n [auto|<number>] - to run tests in parallel
  • auto - to use all available cores,
  • <number> - to use specific number of cores
  • however, it's recommended to run tests in parallel on cli mostly, as running on splunk or cloud doesn't give significant performance improvement
• -x - to stop on first failure
• -pdb - to enter debugger on failure
• ... and much more, whatever is supported by pytest

Additionally, the following options are supported:

• --ignore_empty_strings - to ignore empty strings in the results

Note: The pytest.ini.sample file allows you to define command parameters. Just update the configurations, rename the file by removing the .sample extension, and execute the command.

Run tests in IDE [PyCharm]

It's also possible to run tests in PyCharm. To do this, it's necessary to set Run Configurations

Sample configuration which may be used:

• Run configuration
  • Type: Python test
  • Module: spl2_testing_framework.test_runner
  • Parameters: --type [cli | splunk | cloud] --test_dir /tests/resources -o log_cli=true --log-cli-level=INFO --verbose
  • If test dir is not specified, current working directory will be used
  • If necessary another pytest options can be added

Note: It's necessary to set "pytest" as default test runner in PyCharm settings

Executing a spl2 file

This framework also supports executing a single spl2 file and prints the results in command line as well as a log file. This will help developers to get the results of the spl2 pipeline as and when they are developing the pipeline.

It requires 3 additional parameters:

• --template_file
• --sample_file
• --sample_delimiter

It will execute the template_file provided in the --template_file parameter. It will read samples if --sample_file parameter is provided and will separate the samples by using --sample_delimiter. If --sample_file is not provided, then it will look for the samples in the respective module.json file corresponding to the template_file.

To run a single spl2 file, execute the command:

single_spl2_file_run [cli|splunk|cloud]

It is possible to pass more options to the command, which works also with pytest, e.g.:

• --test_dir - Path in which the template file and module.json are available. If not provided, it will look for the current directory for the template file and module.json file

• --template_file - The spl2 template file to execute

• --sample_file - A file containing all the samples required for the template file. If not provided, it will look for the samples in module.json file of the corresponding template file

• --sample_delimiter - Separator for separating the samples provided in the sample file. If not provided, it will use newline as a default separator.

• ... and much more, whatever is supported by pytest

Note: The pytest.ini.sample file allows you to define command parameters. Just update the configurations, rename the file by removing the .sample extension, and execute the command.

Performance check

It is possible to measure execution time of spl2 pipeline, or even do more advanced time checks using flag:

• --performance_check=time - to run basic time measurements - time of execution of spl2 pipeline will be printed to stdout
• --performance_check=detailed_time - to do more advanced time checks which injects more timestamps into spl2 pipeline.

Running detailed_time check creates text file with spl2 pipeline code with injected timestamps after every command ("|") Content of this file will also be printed to stdout.

This checks can be applied only to box tests, as assertions which are used in unit tests may impact spl2 pipeline performance.