Skip to content

Latest commit

 

History

History
128 lines (86 loc) · 4.35 KB

dev_setup.md

File metadata and controls

128 lines (86 loc) · 4.35 KB
Raw

Dev Setup

Set up process

  • First create a new conda environment. Please specify python version as 3.9. conda create -n <env_name> python=3.9.
  • Activate the env you created.
  • Set environment variable PYTHONPATH in your new conda environment. conda env config vars set PYTHONPATH=<path-to-src>\promptflow. Once you have set the environment variable, you have to reactivate your environment. conda activate <env_name>.
  • In root folder, run python scripts/building/dev_setup.py --promptflow-extra-deps azure to install the package and dependencies.

How to run tests

Set up your secrets

dev-connections.json.example is a template about connections provided in src/promptflow. You can follow these steps to refer to this template to configure your connection for the test cases:

  1. cd ./src/promptflow
  2. Run the command cp dev-connections.json.example connections.json;
  3. Replace the values in the json file with your connection info;
  4. Set the environment PROMPTFLOW_CONNECTIONS='connections.json';

After above setup process is finished. You can use pytest command to run test, for example in root folder you can:

Run tests via command

  • Run all tests under a folder: pytest src/promptflow/tests -v
  • Run a single test: pytest src/promptflow/tests/promptflow_test/e2etests/test_executor.py::TestExecutor::test_executor_basic_flow -v

Run tests in VSCode

  1. Set up your python interperter
  • Open the Command Palette (Ctrl+Shift+P) and select Python: Select Interpreter.

img0

  • Select existing conda env which you created previously.

img1

  1. Set up your test framework and directory
  • Open the Command Palette (Ctrl+Shift+P) and select Python: Configure Tests.

img2

  • Select pytest as test framework.

img3

  • Select Root directory as test directory.

img4

  1. Click the Run Test button on the left

img5

Run tests in pycharm

  1. Set up your pycharm python interpreter

img0

  1. Select existing conda env which you created previously

img1

  1. Run test, right-click the test name to run, or click the green arrow button on the left.

img2

Record and replay tests

Please refer to Replay End-to-End Tests to learn how to record and replay tests.

How to write docstring.

A clear and consistent API documentation is crucial for the usability and maintainability of our codebase. Please refer to API Documentation Guidelines to learn how to write docstring when developing the project.

How to write tests

  • Put all test data/configs under src/promptflow/tests/test_configs.
  • Write unit tests:
    • Flow run: src/promptflow/tests/sdk_cli_test/unittest/
    • Flow run in azure: src/promptflow/tests/sdk_cli_azure_test/unittest/
  • Write e2e tests:
    • Flow run: src/promptflow/tests/sdk_cli_test/e2etests/
    • Flow run in azure: src/promptflow/tests/sdk_cli_azure_test/e2etests/
  • Test file name and the test case name all start with test_.
  • A basic test example, see test_connection.py.

Test structure

Currently all tests are under src/promptflow/tests/ folder:

  • tests/
    • promptflow/
      • sdk_cli_test/
        • e2etests/
        • unittests/
      • sdk_cli_azure_test/
        • e2etests/
        • unittests/
    • test_configs/
      • connections/
      • datas/
      • flows/
      • runs/
      • wrong_flows/
      • wrong_tools/

When you want to add tests for a new feature, you can add new test file let's say a e2e test file test_construction.py under tests/promptflow/**/e2etests/.

Once the project gets more complicated or anytime you find it necessary to add new test folder and test configs for a specific feature, feel free to split the promptflow to more folders, for example:

  • tests/
    • (Test folder name)/
      • e2etests/
        • test_xxx.py
      • unittests/
        • test_xxx.py
    • test_configs/
      • (Data or config folder name)/