diff --git a/.github/workflows/cicd.yaml b/.github/workflows/cicd.yaml index 891aa964..7a1b30f0 100644 --- a/.github/workflows/cicd.yaml +++ b/.github/workflows/cicd.yaml @@ -6,14 +6,13 @@ on: pull_request_target: # Also run on pull requests originated from forks branches: [main] release: - types: ['published'] + types: ["published"] concurrency: group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} cancel-in-progress: true jobs: - Static-Check: runs-on: ubuntu-latest steps: @@ -26,7 +25,7 @@ jobs: python-version: "3.12" architecture: "x64" - - run: pip3 install hatch + - run: uv tool install hatch - run: hatch run tests.py3.12-2.10:static-check Run-Unit-Tests: @@ -34,8 +33,9 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] - airflow-version: [ "2.3", "2.4", "2.5", "2.6", "2.7", "2.8", "2.9", "2.10" ] + python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] + airflow-version: + ["2.3", "2.4", "2.5", "2.6", "2.7", "2.8", "2.9", "2.10"] exclude: - python-version: "3.11" airflow-version: "2.3" @@ -69,6 +69,7 @@ jobs: - uses: actions/cache@v4 with: path: | + ~/.cache/uv ~/.cache/pip .local/share/hatch/ key: unit-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.airflow-version }}-${{ hashFiles('pyproject.toml') }}-${{ hashFiles('dagfactory/__init__.py') }} @@ -80,8 +81,7 @@ jobs: - name: Install packages and dependencies run: | - python -m pip install uv - uv pip install --system hatch + uv tool install hatch hatch -e tests.py${{ matrix.python-version }}-${{ matrix.airflow-version }} run pip freeze - name: Test DAG Factory against Airflow ${{ matrix.airflow-version }} and Python ${{ matrix.python-version }} @@ -100,8 +100,9 @@ jobs: strategy: fail-fast: false matrix: - python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] - airflow-version: [ "2.3", "2.4", "2.5", "2.6", "2.7", "2.8", "2.9", "2.10" ] + python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] + airflow-version: + ["2.3", "2.4", "2.5", "2.6", "2.7", "2.8", "2.9", "2.10"] exclude: - python-version: "3.11" airflow-version: "2.3" @@ -135,6 +136,7 @@ jobs: - uses: actions/cache@v4 with: path: | + ~/.cache/uv ~/.cache/pip .local/share/hatch/ key: integration-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.airflow-version }}-${{ hashFiles('pyproject.toml') }}-${{ hashFiles('dagfactory/__init__.py') }} @@ -146,8 +148,7 @@ jobs: - name: Install packages and dependencies run: | - python -m pip install uv - uv pip install --system hatch + uv tool install hatch hatch -e tests.py${{ matrix.python-version }}-${{ matrix.airflow-version }} run pip freeze - name: Test DAG Factory against Airflow ${{ matrix.airflow-version }} and Python ${{ matrix.python-version }} @@ -183,7 +184,7 @@ jobs: python-version: "3.11" - name: Install coverage run: | - pip3 install coverage + uv tool install coverage - name: Download all coverage artifacts uses: actions/download-artifact@v4 with: @@ -219,7 +220,7 @@ jobs: architecture: "x64" - name: Install packages and dependencies - run: pip install hatch + run: uv tool install hatch - name: Deploy Docs run: | @@ -248,13 +249,9 @@ jobs: - uses: actions/checkout@v4 - uses: actions/setup-python@v5 with: - python-version: '3.10' - architecture: 'x64' + python-version: "3.10" + architecture: "x64" - name: Verify Git Tag and package version run: python3 ./scripts/verify_tag_and_version.py - - run: pip3 install hatch - - run: hatch build - - run: hatch publish - env: - HATCH_INDEX_USER: __token__ - HATCH_INDEX_AUTH: ${{ secrets.PYPI_TOKEN }} + - run: uv build --wheel --sdist + - run: uv publish --token ${{ secrets.PYPI_TOKEN }} diff --git a/Makefile b/Makefile index c9d56209..ac7fae4b 100644 --- a/Makefile +++ b/Makefile @@ -4,15 +4,16 @@ help: .PHONY: setup setup: ## Setup development environment - python -m venv venv - . venv/bin/activate && pip --no-cache-dir install ".[tests]" + uv venv venv + @echo "Installing dependencies with uv..." + uv pip install --python venv/bin/python -e ".[tests]" @echo "To activate the virtual environment, run:" @echo "source venv/bin/activate" .PHONY: clean clean: ## Removes build and test artifacts @echo "==> Removing build and test artifacts" - @rm -rf *.egg *egg-info .cache .coverage .tox build bin include dist htmlcov lib .pytest_cache .venv + @rm -rf *.egg *egg-info .cache .coverage .tox build bin include dist htmlcov lib .pytest_cache .venv venv @find . -name '*.pyc' -exec rm -f {} + @find . -name '*.pyo' -exec rm -f {} + @find . -name '*~' -exec rm -f {} + @@ -24,7 +25,7 @@ build-whl: ## Build installable whl file rm -rf dev/include/* rm -rf dist/* mkdir -p dev/include - hatch build + uv build --wheel --sdist cp dist/* dev/include/ .PHONY: docker-run diff --git a/dev/Dockerfile b/dev/Dockerfile index c8b3b763..67c7f033 100644 --- a/dev/Dockerfile +++ b/dev/Dockerfile @@ -8,4 +8,7 @@ RUN apt-get update && apt-get install -y jq USER astro -RUN pip install /usr/local/airflow/include/*.whl +# Install uv for faster package management +RUN pip install uv + +RUN uv pip install --system /usr/local/airflow/include/*.whl diff --git a/docs/contributing/howto.md b/docs/contributing/howto.md index cecc77a0..d3ec4643 100644 --- a/docs/contributing/howto.md +++ b/docs/contributing/howto.md @@ -29,8 +29,9 @@ To contribute to the DAG Factory project: ### Requirements - [Git](https://git-scm.com/) -- [Python](https://www.python.org/) <= 3.12 (due to dependencies, such as ``google-re2`` not supporting Python 3.13 yet) -- [Hatch](https://hatch.pypa.io/latest/) +- [Python](https://www.python.org/) <= 3.12 (due to dependencies, such as `google-re2` not supporting Python 3.13 yet) +- [uv](https://docs.astral.sh/uv/) (for fast package management) +- [Hatch](https://hatch.pypa.io/latest/) (installed automatically via uv) Clone the **DAG Factory** repository and change the current working directory to the repo's root directory: @@ -46,20 +47,49 @@ After cloning the project, there are two options for setting up the local develo ### Using a Python virtual environment for local development +DAG Factory uses [uv](https://docs.astral.sh/uv/) for fast and reliable package management. The setup process is significantly faster than traditional pip-based installations. + 1. Install the project dependencies: - ```bash - make setup - ``` + **Recommended: uv setup (fast, reproducible builds)** + + ```bash + uv sync --dev + ``` + + **Alternative: Traditional setup** + + ```bash + make setup + ``` + + Both commands install all dependencies, including test dependencies. The uv option is significantly faster and uses the lockfile for reproducible builds. 2. Activate the local python environment: - ```bash - source venv/bin/activate - ``` + **For uv setup:** + + ```bash + source .venv/bin/activate + ``` + + **For traditional setup:** + + ```bash + source venv/bin/activate + ``` + +### Additional uv Commands + +Once you're set up with uv, you can use these helpful commands: + +- `uv sync` - Sync dependencies from the lockfile +- `uv lock --upgrade` - Update the lockfile with latest dependency versions +- `uv add ` - Add a new dependency +- `uv remove ` - Remove a dependency -3. Set [Apache Airflow®](https://airflow.apache.org/) home to the ``dev/``, so you can see DAG Factory example DAGs. -Disable loading Airflow standard example DAGs: +3. Set [Apache Airflow®](https://airflow.apache.org/) home to the `dev/`, so you can see DAG Factory example DAGs. + Disable loading Airflow standard example DAGs: ```bash export AIRFLOW_HOME=$(pwd)/dev/ @@ -68,15 +98,15 @@ export AIRFLOW__CORE__LOAD_EXAMPLES=false Then, run Airflow in standalone mode; the command below will create a new user (if it does not exist) and run the necessary Airflow component (webserver, scheduler and triggered): -> Note: By default, Airflow will use sqlite as a database; you can override this by setting the variable ``AIRFLOW__DATABASE__SQL_ALCHEMY_CONN`` to the SQL connection string. +> Note: By default, Airflow will use sqlite as a database; you can override this by setting the variable `AIRFLOW__DATABASE__SQL_ALCHEMY_CONN` to the SQL connection string. ```bash airflow standalone ``` -After Airflow is running, you can access the Airflow UI at ``http://localhost:8080``. +After Airflow is running, you can access the Airflow UI at `http://localhost:8080`. -> Note: whenever you want to start the development server, you need to activate the ``virtualenv`` and set the ``environment variables`` +> Note: whenever you want to start the development server, you need to activate the `virtualenv` and set the `environment variables` ### Use Docker for local development @@ -86,7 +116,7 @@ It is also possible to build the development environment using [Docker](https:// make docker-run ``` -After the sandbox is running, you can access the Airflow UI at ``http://localhost:8080``. +After the sandbox is running, you can access the Airflow UI at `http://localhost:8080`. This approach builds a DAG Factory wheel, so if there are code changes, you must stop and restart the containers: @@ -148,7 +178,7 @@ To run the checks manually, run the following: pre-commit run --all-files ``` -Pre-commit runs several static checks, including Black and Ruff. It is also possible to run them using ``hatch``: +Pre-commit runs several static checks, including Black and Ruff. It is also possible to run them using `hatch`: ```bash hatch run tests.py3.9-2.9:static-check @@ -174,7 +204,7 @@ hatch run docs:gh-release ## Releasing -We currently use [hatch](https://github.com/pypa/hatch) for building and distributing ``dag-factory``. +We currently use [hatch](https://github.com/pypa/hatch) for building and distributing `dag-factory`. We use GitHub actions to create and deploy new releases. To create a new release, update the latest release version. @@ -196,6 +226,6 @@ If you're a [project maintainer in PyPI](https://pypi.org/project/dag-factory/), by authenticating to PyPI and running the commands: ```bash -hatch build -hatch publish +uv build --wheel --sdist +uv publish --token ``` diff --git a/docs/getting-started/quick-start-airflow-standalone.md b/docs/getting-started/quick-start-airflow-standalone.md index c089af0d..d77dc461 100644 --- a/docs/getting-started/quick-start-airflow-standalone.md +++ b/docs/getting-started/quick-start-airflow-standalone.md @@ -24,22 +24,22 @@ Install [Apache Airflow®](https://airflow.apache.org): 1. Create a directory for your project and navigate to it: - ```commandline - mkdir dag-factory-quick-start && cd dag-factory-quick-start - ``` + ```commandline + mkdir dag-factory-quick-start && cd dag-factory-quick-start + ``` 2. Set the `AIRFLOW_HOME` environment variable: - ```commandline - export AIRFLOW_HOME=$(pwd) - export AIRFLOW__CORE__LOAD_EXAMPLES=False - ``` + ```commandline + export AIRFLOW_HOME=$(pwd) + export AIRFLOW__CORE__LOAD_EXAMPLES=False + ``` 3. Install Apache Airflow: - ```commandline - pip install apache-airflow - ``` + ```commandline + pip install apache-airflow + ``` ## Step 3: Install DAG Factory diff --git a/pyproject.toml b/pyproject.toml index fe6b1ed8..558f6d83 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,7 +9,7 @@ description = "Dynamically build Apache Airflow DAGs from YAML files" authors = [{ name = "Astronomer", email = "humans@astronomer.io" }] readme = "README.md" license = "Apache-2.0" -license-files = { paths = ["LICENSE"] } +license-files = ["LICENSE"] requires-python = ">=3.8" keywords = ["airflow", "apache-airflow", "provider", "astronomer", "dag"] classifiers = [ @@ -29,7 +29,7 @@ classifiers = [ "Programming Language :: Python :: 3.12", ] dependencies = [ - "apache-airflow>=2.3", + "apache-airflow>=2.3,<3.0", "apache-airflow-providers-http>=2.0.0", "apache-airflow-providers-cncf-kubernetes", "pyyaml", @@ -45,6 +45,42 @@ tests = [ "pre-commit", ] +###################################### +# UV CONFIGURATION +###################################### + +[tool.uv] +dev-dependencies = [ + "dag-factory[tests]", + "pre-commit", + "pytest>=6.0", + "pytest-cov", + "apache-airflow-providers-slack", + "httpx>=0.25.0", + "pandas", +] + +# Respect existing constraints for Airflow compatibility +constraint-dependencies = [ + "apache-airflow>=2.3", +] + +[tool.uv.workspace] +# Enable workspace mode for better dependency management +members = ["."] + +[tool.uv.pip] +# Use more efficient resolution strategy +resolution = "highest" +# Respect existing pip-compatible behavior for scripts +system = false +# Optimize for CI/CD performance +compile-bytecode = true + +[tool.uv.sources] +# Add custom package sources if needed in the future +# Example: custom-package = { url = "https://custom-repo.com/simple" } + ###################################### # TESTING ###################################### diff --git a/scripts/airflow3/install_from_main.sh b/scripts/airflow3/install_from_main.sh index cee109ee..74241dab 100644 --- a/scripts/airflow3/install_from_main.sh +++ b/scripts/airflow3/install_from_main.sh @@ -12,17 +12,15 @@ DAG_FACTORY_ROOT="$PWD" cd "$AIRFLOW_REPO_DIR" git checkout main && git pull -pip uninstall -y apache-airflow-core -pip uninstall -y apache-airflow-task-sdk -pip uninstall -y apache-airflow-providers-fab -pip uninstall -y apache-airflow -pip uninstall -y apache-airflow-providers-git +uv pip uninstall apache-airflow-core || true +uv pip uninstall apache-airflow-task-sdk || true +uv pip uninstall apache-airflow-providers-fab || true +uv pip uninstall apache-airflow || true +uv pip uninstall apache-airflow-providers-git || true rm -rf dist -pip install uv - -pip install -e "$AIRFLOW_REPO_DIR/dev/breeze" --force +uv pip install -e "$AIRFLOW_REPO_DIR/dev/breeze" --force breeze release-management prepare-provider-distributions \ --distributions-list celery,common.io,common.compat,fab,standard,openlineage,git \ @@ -35,6 +33,6 @@ uv build --package apache-airflow-task-sdk --wheel cd .. -pip install dist/* +uv pip install dist/* cd "$DAG_FACTORY_ROOT" diff --git a/scripts/airflow3/setup.sh b/scripts/airflow3/setup.sh index 79cc7f2e..87a789ec 100644 --- a/scripts/airflow3/setup.sh +++ b/scripts/airflow3/setup.sh @@ -3,18 +3,14 @@ # Exit on error set -e -# Create a UV virtual environment named 'env' (you can change this as needed) -echo "Creating virtual environment at $(pwd)/tools" -python3 -m venv "$(pwd)/scripts/airflow3/venv-af3" - -# Activate the virtual environment -echo "Activating virtual environment..." -source "$(pwd)/scripts/airflow3/venv-af3/bin/activate" +# Create a uv virtual environment +echo "Creating virtual environment at $(pwd)/scripts/airflow3/venv-af3" +uv venv "$(pwd)/scripts/airflow3/venv-af3" # Install dependencies in the virtual environment echo "Installing dependencies..." -pip3 install --pre -r "$(pwd)/scripts/airflow3/requirements.txt" +uv pip install --python "$(pwd)/scripts/airflow3/venv-af3/bin/python" --pre -r "$(pwd)/scripts/airflow3/requirements.txt" -pip3 install ".[test]" +uv pip install --python "$(pwd)/scripts/airflow3/venv-af3/bin/python" ".[tests]" -echo "UV virtual environment setup and dependencies installed successfully!" +echo "uv virtual environment setup and dependencies installed successfully!" diff --git a/scripts/test/integration.sh b/scripts/test/integration.sh index d7432ca0..a5dae85e 100644 --- a/scripts/test/integration.sh +++ b/scripts/test/integration.sh @@ -12,7 +12,7 @@ airflow db check # Necessary for overcoming the following issue with Airflow 2.3 and 2.4: # ImportError: Pandas requires version '0.9.0' or newer of 'tabulate' (version '0.8.9' currently installed) -pip install "tabulate>=0.9.0" +uv pip install "tabulate>=0.9.0" pytest -vv \ --cov=dagfactory \ diff --git a/scripts/test/pre-install-airflow.sh b/scripts/test/pre-install-airflow.sh index c3804d66..f84da6fb 100755 --- a/scripts/test/pre-install-airflow.sh +++ b/scripts/test/pre-install-airflow.sh 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