Instructions

Please refer to the main repository for how to use these tools here

https://github.com/project-chip/certification-tool

CSA Certification Tool - CLI

CLI tool for using the CSA Test Harness

Requirements

1. Python >= 3.10
2. Poetry installed (see: https://python-poetry.org/docs/#installation)

Setup

1. Open terminal in the root folder poetry install
2. Change the url in config.json

    "hostname" : "192.168.x.x" //Change this to your Raspberry Pi IP address/localhost for local development

3. Run ./cli.sh --help to check available commands

Commands

Commands:
  available-tests             Get a list of available tests
  run-tests                   Create a new test run from selected tests
  test-run-execution-history  Read test run execution history
  list-projects               Get a list of projects
  create-project              Creates a project
  delete-project              Deletes a project
  update-project              Updates a project with full test env config file

available-tests

Run ./cli.sh available-tests to get a list of tests available in Test Harness, printed in YAML. For JSON respond, use ./cli.sh available-tests --json .

run-tests

Run ./cli.sh run-tests --file /path/to/file --project-id {id} to run a test.

A test config json and project ID is required. For example, {"sample_tests":{"SampleTestSuite1":{"TCSS1001": 1}}}. Keys sample_tests, SampleTestSuite1 and TCSS1001 is mapped to the results from command available-tests. This triggers backend to run Test Case TCSS1001 once. Change the number to run a Test Case multiple times. Project id indicates which project this test run belongs to.

test-run-execution-history

Run ./cli.sh test-run-execution-history to fetch the history of test runs. Use --skip and --limit for pagination

Run ./cli.sh test-run-execution-history --id {id} with a test run execution id to fetch the information for that test run.

For JSON respond, add --json to the command.

create-project

Run ./cli.sh create-project --name {project name} --config {config file} to create a new project. Project name is required.

list-projects

Run ./cli.sh list-projects to fetch projects. Use --skip and --limit for pagination. Use --archived to fetch archived projects only.

Run ./cli.sh list-projects --id {id} with a project id to fetch the information for that specific project.

For JSON respond, add --json to the command.

delete-project

Run ./cli.sh delete-project --id {id} to delete a project.

update-project

Run ./cli.sh update-project --id {id} --config path/to/config to update a project. Both parameters are required. Config must be a full test environment config file.

Development

The source files are organized in ./app.

Add new command

The project uses click to declare commands. To add a new command to the CLI:

• Add a new file in ./app/commands
• Import the new command in ./app/commands/__init__.py
• Import and add the new command to the root group in ./app/main.py

VS Code Environment

This project comes with a pre-configured dev-container for VS Code. This takes care of all dependencies and configuring type-checker, linters and auto-formatting.

Test Harness API Client

A major component of the CLI is the calling the Test Harness API. We're auto-generating a python client for this API using fastapi_client based on the openapi.json published by the Test Harness backend.

To update our client:

• update openapi.json in the root of this project
• run ./scripts/generate_client (This requires Docker to be installed)

New Dependencies

The project dependencies are managed with Poetry. To add a new dependency, run poetry add <package-name>.

Linting and formatting

The GitHub Project will run linting with Black, Flake8 and mypy on PRs. But these are also available in convenient scripts:

• ./scripts/lint.sh
• ./scripts/format.sh

The VS Code dev-container is also configured to do this automatically on file save.