diff --git a/.github/workflows/ci-cd.yml b/.github/workflows/ci-cd.yml index 54fffaf4..44db554d 100644 --- a/.github/workflows/ci-cd.yml +++ b/.github/workflows/ci-cd.yml @@ -11,7 +11,7 @@ jobs: id-token: write environment: name: pypi - url: https://pypi.org/p/azure-data-factory-testing-framework + url: https://pypi.org/p/data-factory-testing-framework steps: #---------------------------------------------- # check-out repo and set-up python @@ -66,7 +66,6 @@ jobs: poetry version 0.0.0.alpha${{ github.run_number}} poetry build - name: Publish package distributions to PyPI - if: github.ref == 'refs/heads/main' uses: pypa/gh-action-pypi-publish@release/v1 with: packages-dir: ./dist \ No newline at end of file diff --git a/README.md b/README.md index 21a95b07..a937c0f0 100644 --- a/README.md +++ b/README.md @@ -42,8 +42,8 @@ Data Factory does not support unit testing out of the box. The only way to valid 1. Set up an empty Python project with your favorite testing library 2. Install the package using your preferred package manager: - * Pip: `pip install azure-data-factory-testing-framework` - * Poetry: `poetry add azure-data-factory-testing-framework` + * Pip: `pip install data-factory-testing-framework` + * Poetry: `poetry add data-factory-testing-framework` 3. Start writing tests ## Features - Examples diff --git a/pyproject.toml b/pyproject.toml index d1c8e4cf..b180f8b6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "azure-data-factory-testing-framework" +name = "data-factory-testing-framework" version = "0.0.0" description = "A unit test framework that allows you to write unit and functional tests for Data Factory pipelines against the git integrated json resource files." authors = ["Arjen Kroezen ", "Yennifer Santos ", "Jaya Kumar ", "Leonard Herold "]