diff --git a/.github/scripts/test_package_imports.py b/.github/scripts/test_package_imports.py new file mode 100644 index 0000000..18dc2e1 --- /dev/null +++ b/.github/scripts/test_package_imports.py @@ -0,0 +1,93 @@ +#!/usr/bin/env python3 +""" +Test that installed packages can be imported successfully. + +This script verifies that all expected modules from the kfp-components +or kfp-components-third-party packages can be imported using the +kubeflow.pipelines.components namespace. +""" + +import argparse +import sys +import importlib + + +def test_imports(package_type: str = "core") -> bool: + """ + Test package imports based on package type. + + Args: + package_type: Either "core" or "third-party" + + Returns: + True if all imports succeed, False otherwise + """ + success = True + + print(f"Testing {package_type} package imports...") + print(f"Python path: {sys.path}") + + # Test main modules + try: + if package_type == "third-party": + import kubeflow.pipelines.components.third_party as third_party + from kubeflow.pipelines.components.third_party import components, pipelines + else: + import kubeflow.pipelines.components as kfp_components + from kubeflow.pipelines.components import components, pipelines + print("✓ Main modules imported successfully") + except ImportError as e: + print(f"✗ Failed to import main modules: {e}") + success = False + return success + + # Test category imports + categories = ['training', 'evaluation', 'data_processing', 'deployment'] + + for category in categories: + if package_type == "third-party": + comp_module = f"kubeflow.pipelines.components.third_party.components.{category}" + pipe_module = f"kubeflow.pipelines.components.third_party.pipelines.{category}" + else: + comp_module = f"kubeflow.pipelines.components.components.{category}" + pipe_module = f"kubeflow.pipelines.components.pipelines.{category}" + + try: + importlib.import_module(comp_module) + print(f"✓ {comp_module} imported successfully") + except ImportError as e: + print(f"✗ Failed to import {comp_module}: {e}") + success = False + + try: + importlib.import_module(pipe_module) + print(f"✓ {pipe_module} imported successfully") + except ImportError as e: + print(f"✗ Failed to import {pipe_module}: {e}") + success = False + + if success: + print(f"\nAll {package_type} package imports successful!") + else: + print(f"\nSome {package_type} package imports failed") + + return success + + +def main(): + parser = argparse.ArgumentParser(description="Test package imports for Kubeflow Pipelines components") + parser.add_argument( + "--type", + choices=["core", "third-party"], + default="core", + help="Type of package being tested" + ) + + args = parser.parse_args() + + success = test_imports(args.type) + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() diff --git a/.github/scripts/validate_wheel.py b/.github/scripts/validate_wheel.py new file mode 100644 index 0000000..efdfa3f --- /dev/null +++ b/.github/scripts/validate_wheel.py @@ -0,0 +1,273 @@ +#!/usr/bin/env python3 +""" +Validate wheel package contents for Kubeflow Pipelines components. + +This script checks that built wheel files contain the expected structure, +metadata, and required files. +""" + +import argparse +import sys +import zipfile +from pathlib import Path +from typing import List, Tuple + + +def validate_dist_info(file_list: List[str]) -> Tuple[List[str], List[str]]: + """Validate the presence of .dist-info directory.""" + messages = [] + errors = [] + + dist_info_dirs = [f for f in file_list if '.dist-info/' in f] + if not dist_info_dirs: + errors.append("Error: No .dist-info directory found") + else: + messages.append(f"✓ Found .dist-info directory: {dist_info_dirs[0].split('/')[0]}") + + return messages, errors + + +def get_metadata_content(wheel: zipfile.ZipFile, dist_info_files: List[str]) -> Tuple[str, List[str]]: + """Extract metadata content from wheel file.""" + errors = [] + + metadata_files = [f for f in dist_info_files if f.endswith('/METADATA')] + if not metadata_files: + errors.append("Error: No METADATA file found") + return "", errors + + metadata_content = wheel.read(metadata_files[0]).decode('utf-8') + return metadata_content, errors + + +def validate_package_name(metadata_content: str, package_type: str) -> Tuple[List[str], List[str]]: + """Validate the package name in metadata.""" + messages = [] + errors = [] + + expected_name = "kfp-components" if package_type == "core" else "kfp-components-third-party" + if f"Name: {expected_name}" in metadata_content: + messages.append(f"✓ Package name verified: {expected_name}") + else: + errors.append(f"Error: Expected package name '{expected_name}' not found in metadata") + + return messages, errors + + +def validate_version(metadata_content: str) -> Tuple[List[str], List[str]]: + """Validate and extract version from metadata.""" + messages = [] + errors = [] + + for line in metadata_content.split('\n'): + if line.startswith('Version:'): + messages.append(f"✓ {line}") + return messages, errors + + errors.append("Error: No version found in metadata") + return messages, errors + + +def validate_python_requirement(metadata_content: str) -> Tuple[List[str], List[str]]: + """Validate Python requirement in metadata.""" + messages = [] + errors = [] + + if 'Requires-Python:' in metadata_content: + messages.append("✓ Python requirement specified") + else: + errors.append("Error: No Python requirement found in metadata") + + return messages, errors + + +def validate_kfp_dependency(metadata_content: str) -> Tuple[List[str], List[str]]: + """Validate KFP dependency in metadata.""" + messages = [] + errors = [] + + if 'kfp' in metadata_content.lower(): + messages.append("✓ KFP dependency found") + else: + errors.append("Warning: KFP dependency not found in metadata") + + return messages, errors + + +def validate_required_directories(file_list: List[str]) -> Tuple[List[str], List[str]]: + """Validate the presence of required directories (components/ and pipelines/).""" + messages = [] + errors = [] + + components_files = [f for f in file_list if 'components/' in f] + pipelines_files = [f for f in file_list if 'pipelines/' in f] + + if components_files: + messages.append(f"✓ Found components directory ({len(components_files)} files)") + else: + errors.append("Error: No components/ directory found") + + if pipelines_files: + messages.append(f"✓ Found pipelines directory ({len(pipelines_files)} files)") + else: + errors.append("Error: No pipelines/ directory found") + + return messages, errors + + +def validate_init_files(file_list: List[str], package_type: str = "core") -> Tuple[List[str], List[str]]: + """Validate the presence of __init__.py files and category structure.""" + messages = [] + errors = [] + + init_files = [f for f in file_list if f.endswith('__init__.py')] + if not init_files: + errors.append("Error: No __init__.py files found") + return messages, errors + + messages.append(f"✓ Found {len(init_files)} __init__.py files") + + # Check for category-level __init__.py files + expected_categories = ['training', 'evaluation', 'data_processing', 'deployment'] + for category in expected_categories: + if package_type == "third-party": + component_init = f"third_party/components/{category}/__init__.py" + pipeline_init = f"third_party/pipelines/{category}/__init__.py" + else: + component_init = f"kfp_components/components/{category}/__init__.py" + pipeline_init = f"kfp_components/pipelines/{category}/__init__.py" + + found_component = any(component_init in f for f in init_files) + found_pipeline = any(pipeline_init in f for f in init_files) + + if found_component or found_pipeline: + messages.append(f" ✓ Found {category} category init files") + + return messages, errors + + +def validate_python_modules(file_list: List[str]) -> Tuple[List[str], List[str]]: + """Validate the presence of Python modules.""" + messages = [] + errors = [] + + py_files = [f for f in file_list if f.endswith('.py') and not f.endswith('__init__.py')] + if py_files: + messages.append(f"✓ Found {len(py_files)} Python modules") + + return messages, errors + + +def get_wheel_info(wheel_path: Path, file_list: List[str]) -> List[str]: + """Get general information about the wheel.""" + messages = [] + + # Report wheel size + wheel_size = wheel_path.stat().st_size + messages.append(f"✓ Wheel size: {wheel_size / 1024 / 1024:.2f} MB") + + # Show sample of contents + messages.append("\nSample contents (first 10 non-metadata files):") + sample_files = [f for f in file_list if '.dist-info/' not in f][:10] + for f in sample_files: + messages.append(f" - {f}") + + return messages + + +def validate_wheel(wheel_path: Path, package_type: str = "core") -> Tuple[bool, List[str]]: + """ + Validate a wheel file's contents. + + Args: + wheel_path: Path to the wheel file + package_type: Either "core" or "third-party" + + Returns: + Tuple of (success, list of validation messages) + """ + messages = [] + errors = [] + + if not wheel_path.exists(): + return False, [f"Error: Wheel file not found: {wheel_path}"] + + messages.append(f"Validating {package_type} package: {wheel_path.name}") + + try: + with zipfile.ZipFile(wheel_path, 'r') as wheel: + file_list = wheel.namelist() + + # Define all validators as a list of tuples (name, function) + validators = [ + # Basic structure validations + ('dist_info', lambda: validate_dist_info(file_list)), + ('directories', lambda: validate_required_directories(file_list)), + ('init_files', lambda: validate_init_files(file_list, package_type)), + ('python_modules', lambda: validate_python_modules(file_list)), + ] + + # Extract metadata for metadata-specific validations + dist_info_files = [f for f in file_list if '.dist-info/' in f] + if dist_info_files: + metadata_content, metadata_errors = get_metadata_content(wheel, dist_info_files) + errors.extend(metadata_errors) + + if metadata_content: + # Add metadata validators + validators.extend([ + ('package_name', lambda: validate_package_name(metadata_content, package_type)), + ('version', lambda: validate_version(metadata_content)), + ('python_requirement', lambda: validate_python_requirement(metadata_content)), + ('kfp_dependency', lambda: validate_kfp_dependency(metadata_content)), + ]) + + # Run all validators + for name, validator in validators: + val_messages, val_errors = validator() + messages.extend(val_messages) + errors.extend(val_errors) + + # Add general wheel information + messages.extend(get_wheel_info(wheel_path, file_list)) + + except zipfile.BadZipFile: + return False, [f"Error: Invalid wheel file: {wheel_path}"] + except Exception as e: + return False, [f"Error: Failed to validate wheel: {e}"] + + success = len(errors) == 0 + + all_messages = messages + if errors: + all_messages.append("\nValidation issues:") + all_messages.extend(errors) + else: + all_messages.append("\nAll validations passed!") + + return success, all_messages + + +def main(): + parser = argparse.ArgumentParser(description="Validate Kubeflow Pipelines component wheel packages") + parser.add_argument("wheel_path", help="Path to the wheel file to validate") + parser.add_argument( + "--type", + choices=["core", "third-party"], + default="core", + help="Type of package being validated" + ) + + args = parser.parse_args() + + wheel_path = Path(args.wheel_path) + success, messages = validate_wheel(wheel_path, args.type) + + for message in messages: + print(message) + + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/.github/workflows/build-packages.yml b/.github/workflows/build-packages.yml index 7e66e12..e98030b 100644 --- a/.github/workflows/build-packages.yml +++ b/.github/workflows/build-packages.yml @@ -13,9 +13,116 @@ on: jobs: build: runs-on: ubuntu-24.04 - - name: Placeholder + strategy: + matrix: + python-version: ["3.9", "3.13"] + + name: Build packages (Python ${{ matrix.python-version }}) steps: - - name: Placeholder - run: echo "Coming soon..." + - name: Checkout Repository + uses: actions/checkout@v4 + with: + fetch-depth: 0 # Needed for proper versioning + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install uv + uses: astral-sh/setup-uv@v3 + with: + enable-cache: true + cache-dependency-glob: | + pyproject.toml + third_party/pyproject.toml + + - name: Display uv version + run: | + uv --version + echo "Python version: $(python --version)" + + - name: Build Core Package + run: | + echo "Building core package (kfp-components)..." + uv build --out-dir dist/ + echo "Core package built successfully" + ls -lah dist/ + + - name: Build Third-Party Package + run: | + echo "Building third-party package (kfp-components-third-party)..." + cd third_party + uv build --out-dir ../dist-third-party/ + cd .. + echo "Third-party package built successfully" + ls -lah dist-third-party/ + + - name: Validate Wheel Contents - Core + run: | + echo "Validating core package wheel contents..." + for wheel in dist/*.whl; do + python .github/scripts/validate_wheel.py "$wheel" --type core + done + + - name: Validate Wheel Contents - Third-Party + run: | + echo "Validating third-party package wheel contents..." + for wheel in dist-third-party/*.whl; do + python .github/scripts/validate_wheel.py "$wheel" --type third-party + done + + - name: Create test environment + run: | + uv venv test-env + echo "Virtual environment created" + + - name: Test Core Package Installation and Imports + run: | + echo "Installing core package..." + uv pip install --python test-env dist/*.whl + + echo "Testing core package imports..." + test-env/bin/python .github/scripts/test_package_imports.py --type core + + - name: Test Third-Party Package Installation and Imports + run: | + # Create a new environment for third-party testing + uv venv test-env-third-party + + echo "Installing third-party package..." + uv pip install --python test-env-third-party dist-third-party/*.whl + + echo "Testing third-party package imports..." + test-env-third-party/bin/python .github/scripts/test_package_imports.py --type third-party + + - name: Validate Package Metadata + run: | + echo "Extracting and validating package metadata..." + + # Validate core package + for wheel in dist/*.whl; do + echo "Validating core package metadata: $wheel" + python .github/scripts/validate_wheel.py "$wheel" --type core + done + + # Validate third-party package + for wheel in dist-third-party/*.whl; do + echo "Validating third-party package metadata: $wheel" + python .github/scripts/validate_wheel.py "$wheel" --type third-party + done + + - name: Upload Core Package Artifacts + uses: actions/upload-artifact@v4 + with: + name: core-package-py${{ matrix.python-version }} + path: dist/ + retention-days: 30 + + - name: Upload Third-Party Package Artifacts + uses: actions/upload-artifact@v4 + with: + name: third-party-package-py${{ matrix.python-version }} + path: dist-third-party/ + retention-days: 30 diff --git a/README.md b/README.md index dba6fac..826560e 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # Kubeflow Pipelines Components Repository [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) -[![Python Version](https://img.shields.io/badge/python-3.10%2B-blue)](https://www.python.org/downloads/) +[![Python Version](https://img.shields.io/badge/python-3.9%2B-blue)](https://www.python.org/downloads/) Welcome to the official Kubeflow Pipelines Components repository! This is the centralized hub for reusable components and pipelines within the Kubeflow ecosystem, providing a structured collection of AI workflow building blocks for Kubernetes. @@ -48,7 +48,7 @@ The Kubeflow Pipelines Components repository serves as: ### Prerequisites -- Python 3.10 or later +- Python 3.9 or later - Kubeflow Pipelines SDK ### Install Core Components (Coming Soon) @@ -75,10 +75,11 @@ Once the packages are available, you'll be able to verify the installation: ```python # Coming soon - example verification code -from kubeflow.pipelines.components import training, evaluation, data_processing +from kubeflow.pipelines.components import components, pipelines +from kubeflow.pipelines.components.components import training, evaluation, data_processing # Example: Use a training component -from kubeflow.pipelines.components.training import my_component +from kubeflow.pipelines.components.components.training import my_component # List available components print(dir(training)) @@ -90,8 +91,8 @@ print(dir(training)) ```python from kfp import dsl -from kubeflow.pipelines.components.training import model_trainer -from kubeflow.pipelines.components.evaluation import model_evaluator +from kubeflow.pipelines.components.components.training import model_trainer +from kubeflow.pipelines.components.components.evaluation import model_evaluator @dsl.pipeline( name="my-ai-pipeline", @@ -142,28 +143,13 @@ Each component includes standardized metadata: ## 🤝 Contributing -We welcome contributions from the community! To contribute: +We welcome contributions from the community! -1. **Review Guidelines**: Read our [Contributing Guidelines](docs/CONTRIBUTING.md) -2. **Choose a Tier**: Decide between core (community-maintained) or third-party contribution -3. **Follow Standards**: Ensure your component includes: - - `component.py` or `pipeline.py` - The implementation - - `metadata.yaml` - Standardized metadata - - `README.md` - Component documentation - - `OWNERS` - Maintainer information - - `tests/` - Unit tests - - `example_pipelines.py` - Usage examples - -4. **Submit PR**: Open a pull request with your contribution - -### Quality Standards - -All contributions must: -- Pass linting and formatting checks (Black, pydocstyle) -- Include comprehensive docstrings -- Compile successfully with `kfp.compiler` -- Include metadata with fresh `lastVerified` date -- Pass automated CI/CD checks +Please read our [Contributing Guidelines](docs/CONTRIBUTING.md) for: +- Development setup with `uv` +- Component structure and requirements +- Testing and quality standards +- Submission process ## 🔧 Maintenance diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..45c0d00 --- /dev/null +++ b/__init__.py @@ -0,0 +1,15 @@ +""" +Kubeflow Pipelines Components + +A collection of reusable components and pipelines for Kubeflow Pipelines. + +Usage: + from kubeflow.pipelines.components import components, pipelines + from kubeflow.pipelines.components.components import training + from kubeflow.pipelines.components.pipelines import evaluation +""" + +# Import submodules to enable the convenient import patterns shown above +# These imports ensure reliable access to submodules and better IDE support +from . import components +from . import pipelines diff --git a/docs/CONTRIBUTING.md b/docs/CONTRIBUTING.md index e69de29..0470317 100644 --- a/docs/CONTRIBUTING.md +++ b/docs/CONTRIBUTING.md @@ -0,0 +1,223 @@ +# Contributing to Kubeflow Pipelines Components + +Thank you for your interest in contributing to the Kubeflow Pipelines Components repository! + +## Table of Contents + +- [Getting Started](#getting-started) +- [Development Environment](#development-environment) +- [Component Structure](#component-structure) +- [Development Workflow](#development-workflow) +- [Quality Standards](#quality-standards) +- [Submitting Changes](#submitting-changes) +- [Getting Help](#getting-help) + +## Getting Started + +Before contributing: + +1. Review the repository structure in the [README](../README.md) +2. Review existing components and pipelines to understand the patterns +3. Check existing [issues](https://github.com/kubeflow/pipelines-components/issues) to avoid duplicate work +4. Join the [Kubeflow Slack](https://www.kubeflow.org/docs/about/community/) #kubeflow-pipelines channel + +## Development Environment + +### Installing uv + +This project uses `uv` for fast Python package management. + +Follow the installation instructions at: + +Verify installation: + +```bash +uv --version +``` + +### Setting Up Your Environment + +```bash +# Clone and navigate to the repository +cd pipelines-components + +# Create and activate virtual environment +uv venv +source .venv/bin/activate # On Windows: .venv\Scripts\activate + +# Install dependencies +uv sync # Installs package in editable mode +uv sync --dev # Include dev dependencies if defined +``` + +### Building Packages + +```bash +# Build core package +uv build + +# Build third-party package +cd third_party && uv build && cd .. +``` + +## Component Structure + +Each component or pipeline must follow this structure: + +```text +components/ +└── / + └── / + ├── __init__.py # Exposes component for imports + ├── component.py # Component implementation + ├── metadata.yaml # Component metadata (required) + ├── README.md # Documentation (auto-generated + custom) + ├── OWNERS # Component owners (required) + ├── example_pipelines.py # Usage examples (required for components) + ├── requirements.txt # Runtime dependencies (if any) + ├── Containerfile # Custom base image (if needed) + └── tests/ + └── test_component.py +``` + +### Required Files + +#### metadata.yaml + +```yaml +tier: core # or third_party +name: my_component +stability: alpha # alpha, beta, or stable +dependencies: + kubeflow: + - name: Pipelines + version: '>=2.5' + external_services: + - name: BigQuery + version: "latest" +tags: + - training + - tensorflow +lastVerified: 2025-01-15T00:00:00Z +ci: + skip_dependency_probe: false + pytest: optional +links: + documentation: https://kubeflow.org/components/my_component + issue_tracker: https://github.com/kubeflow/pipelines-components/issues +``` + +#### OWNERS + +Follow the Kubernetes OWNERS file format: + +```yaml +# See the OWNERS docs at https://go.k8s.io/owners + +approvers: + - username1 + - username2 + - kubeflow/sig-pipelines + +reviewers: + - username1 + - username2 + - username3 +``` + +#### component.py + +```python +"""Component for training a model.""" + +from kfp import dsl + +@dsl.component( + packages_to_install=["pandas==2.2.1"], # Or use requirements.txt + base_image="python:3.13-slim" +) +def my_component( + input_path: str, + output_path: str, + learning_rate: float = 0.001 +) -> str: + """ + Train a model with the given parameters. + + Args: + input_path: Path to input data + output_path: Path to save the model + learning_rate: Learning rate for training + + Returns: + Path to the trained model + """ + # Component implementation + return output_path +``` + +> **Note**: Component runtime dependencies can be specified either in `requirements.txt` or via `packages_to_install` in the decorator. + +## Development Workflow + +### 1. Write Your Component + +Follow the structure above and ensure all required files are present. + +### 2. Format Your Code + +```bash +black --line-length 120 path/to/your/files +``` + +### 3. Test Your Component + +```bash +# Run your component tests +pytest path/to/your/component/tests/ --timeout=120 + +# Run all tests in a category +pytest components/training/ -v +``` + +### 4. Generate/Update Documentation + +```bash +python scripts/generate_readme.py +``` + +Custom content after `` marker is preserved. + +## Quality Standards + +### Code Standards + +- Black formatting with 120-character line length +- Google-style docstrings (enforced with `pydocstyle --convention=google`) +- Only stdlib imports at module top level; third-party imports inside functions + +### Testing Standards + +- Tests must be lightweight without cluster dependencies +- 2-minute timeout per test (enforced with `pytest-timeout`) + +### Documentation Standards + +- Every `@dsl.component` or `@dsl.pipeline` function must have docstrings +- READMEs are auto-generated from templates + +## Submitting Changes + +### Pre-submission Checklist + +- [ ] Component follows the required structure +- [ ] All required files present (`metadata.yaml`, `OWNERS`, `README.md`) +- [ ] Code formatted with Black +- [ ] Tests pass locally +- [ ] Docstrings follow Google style +- [ ] `lastVerified` date is current +- [ ] README generated/updated + +## Getting Help + +See the [README](../README.md#-links) for community resources and support channels. diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..61f1706 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,46 @@ +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "kfp-components" +version = "1.11.0" +description = "A collection of reusable components and pipelines for Kubeflow Pipelines" +authors = [ + {name = "Kubeflow Community"} +] +license = "Apache-2.0" +readme = "README.md" +requires-python = ">=3.9" +dependencies = [ + "kfp>=2.5.0", +] + +[project.urls] +Homepage = "https://www.kubeflow.org/docs/components/pipelines/" +Documentation = "https://github.com/kubeflow/pipelines-components/tree/main/docs" +Repository = "https://github.com/kubeflow/pipelines-components" +Issues = "https://github.com/kubeflow/pipelines-components/issues" + +[tool.setuptools] +packages = [ + "kubeflow.pipelines.components", + "kubeflow.pipelines.components.components", + "kubeflow.pipelines.components.components.training", + "kubeflow.pipelines.components.components.evaluation", + "kubeflow.pipelines.components.components.data_processing", + "kubeflow.pipelines.components.components.deployment", + "kubeflow.pipelines.components.pipelines", + "kubeflow.pipelines.components.pipelines.training", + "kubeflow.pipelines.components.pipelines.evaluation", + "kubeflow.pipelines.components.pipelines.data_processing", + "kubeflow.pipelines.components.pipelines.deployment" +] + +[tool.setuptools.package-dir] +"kubeflow.pipelines.components" = "." +"kubeflow.pipelines.components.components" = "components" +"kubeflow.pipelines.components.pipelines" = "pipelines" + +[tool.setuptools.package-data] +"*" = ["*.yaml", "*.yml", "*.json"] diff --git a/scripts/generate_readme.py b/scripts/generate_readme.py new file mode 100644 index 0000000..52d0d1d --- /dev/null +++ b/scripts/generate_readme.py @@ -0,0 +1,8 @@ +#!/usr/bin/env python3 +""" +Generate README files for components and pipelines from templates. + +TODO: Implement README generation logic +""" + +print("README generation not yet implemented") \ No newline at end of file diff --git a/third_party/README.md b/third_party/README.md new file mode 100644 index 0000000..9a84231 --- /dev/null +++ b/third_party/README.md @@ -0,0 +1,39 @@ +# KFP Components Third-Party + +Community-contributed third-party components for Kubeflow Pipelines, not maintained by Kubeflow SIGs. + +## Overview + +This package contains third-party components and pipelines contributed by the Kubeflow community. These components are not officially maintained by Kubeflow SIGs but are provided as community contributions. + +## Installation + +```bash +pip install kfp-components-third-party +``` + +## Usage + +Import third-party components and pipelines from this package: + +```python +from kubeflow.pipelines.components.third_party import components, pipelines +from kubeflow.pipelines.components.third_party.components import training, evaluation, data_processing, deployment +from kubeflow.pipelines.components.third_party.pipelines import training, evaluation, data_processing, deployment + +# For example: +from kubeflow.pipelines.components.third_party.components.training import my_training_component +from kubeflow.pipelines.components.third_party.pipelines.evaluation import my_evaluation_pipeline +``` + +## Contributing + +For contribution guidelines, please see the main repository's [CONTRIBUTING.md](https://github.com/kubeflow/pipelines-components/blob/main/docs/CONTRIBUTING.md). + +## License + +This project is licensed under the Apache License 2.0. See the [LICENSE](https://github.com/kubeflow/pipelines-components/blob/main/LICENSE) file for details. + +## Support + +These are community-contributed components and are not officially supported by Kubeflow SIGs. For issues and questions, please use the [GitHub Issues](https://github.com/kubeflow/pipelines-components/issues) page. diff --git a/third_party/__init__.py b/third_party/__init__.py index 9f50656..f684735 100644 --- a/third_party/__init__.py +++ b/third_party/__init__.py @@ -8,5 +8,7 @@ from kubeflow.pipelines.components.third_party import pipelines """ +# Import submodules - required to enable the usage patterns +# Without these, "from third_party import components, pipelines" would fail from . import components from . import pipelines diff --git a/third_party/components/deployment/__init__.py b/third_party/components/deployment/__init__.py new file mode 100644 index 0000000..3fe41ab --- /dev/null +++ b/third_party/components/deployment/__init__.py @@ -0,0 +1 @@ +"""Deployment components for third-party contributions.""" \ No newline at end of file diff --git a/third_party/pipelines/deployment/__init__.py b/third_party/pipelines/deployment/__init__.py new file mode 100644 index 0000000..108dde3 --- /dev/null +++ b/third_party/pipelines/deployment/__init__.py @@ -0,0 +1 @@ +"""Deployment pipelines for third-party contributions.""" \ No newline at end of file diff --git a/third_party/pyproject.toml b/third_party/pyproject.toml new file mode 100644 index 0000000..9d49803 --- /dev/null +++ b/third_party/pyproject.toml @@ -0,0 +1,46 @@ +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "kfp-components-third-party" +version = "1.11.0" +description = "Community-contributed third-party components for Kubeflow Pipelines, not maintained by Kubeflow SIGs" +authors = [ + {name = "Kubeflow Community Contributors"} +] +license = "Apache-2.0" +readme = "README.md" +requires-python = ">=3.9" +dependencies = [ + "kfp>=2.5.0", +] + +[project.urls] +Homepage = "https://www.kubeflow.org/docs/components/pipelines/" +Documentation = "https://github.com/kubeflow/pipelines-components/tree/main/docs" +Repository = "https://github.com/kubeflow/pipelines-components" +Issues = "https://github.com/kubeflow/pipelines-components/issues" + +[tool.setuptools] +packages = [ + "kubeflow.pipelines.components.third_party", + "kubeflow.pipelines.components.third_party.components", + "kubeflow.pipelines.components.third_party.components.training", + "kubeflow.pipelines.components.third_party.components.evaluation", + "kubeflow.pipelines.components.third_party.components.data_processing", + "kubeflow.pipelines.components.third_party.components.deployment", + "kubeflow.pipelines.components.third_party.pipelines", + "kubeflow.pipelines.components.third_party.pipelines.training", + "kubeflow.pipelines.components.third_party.pipelines.evaluation", + "kubeflow.pipelines.components.third_party.pipelines.data_processing", + "kubeflow.pipelines.components.third_party.pipelines.deployment" +] + +[tool.setuptools.package-dir] +"kubeflow.pipelines.components.third_party" = "." 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