# ScriptCraft Python Package
A comprehensive Python package for data processing and quality control tools designed for research workflows, particularly in the field of Huntington's Disease research.
## 🚀 Features
- **Data Processing Tools**: Automated data cleaning, validation, and transformation
- **Quality Control**: Comprehensive validation frameworks with plugin support
- **Research Workflows**: Specialized tools for clinical and biomarker data
- **Release Management**: Automated PyPI and Git release workflows
- **Pipeline Orchestration**: Multi-step workflow automation
- **Extensible Architecture**: Plugin-based system for custom validations
- **Cross-Platform**: Works on Windows, macOS, and Linux
## 📦 Installation
```bash
pip install scriptcraft
```
## 🛠️ Quick Start
### Basic Usage
```python
import scriptcraft
import scriptcraft.common as cu
# Use common utilities
data = cu.load_data("your_data.csv")
cu.log_and_print("✅ Data loaded successfully")
```
### Using Tools
```python
# Import tools directly
from scriptcraft.tools.automated_labeler import AutomatedLabeler
from scriptcraft.tools.data_content_comparer import DataContentComparer
# Create and use tools
labeler = AutomatedLabeler()
comparer = DataContentComparer()
# Run tools with arguments
labeler.run(
input_paths=["data.csv"],
output_dir="output",
mode="labeling"
)
```
### CLI Usage
```bash
# List available tools and pipelines
scriptcraft list
# Run specific tools
scriptcraft rhq_form_autofiller
scriptcraft data_content_comparer
# Run pipelines
scriptcraft data_quality
scriptcraft dictionary_pipeline
# Use release management CLI
scriptcraft-release pypi-test
scriptcraft-release git-sync
scriptcraft-release full-release
# Use release manager directly (RECOMMENDED for version bumps)
python -c "from scriptcraft.tools.release_manager import ReleaseManager; ReleaseManager().run(mode='python_package', version_type='patch', auto_push=True)"
# Run specific tools via console scripts
rhq-autofiller --help
data-comparer --help
auto-labeler --help
function-auditor --help
# Or run tools directly
python -m scriptcraft.tools.rhq_form_autofiller --help
python -m scriptcraft.tools.data_content_comparer --help
```
## 🧰 Available Tools
### Data Processing
- **AutomatedLabeler**: Automated data labeling and classification
- **DataContentComparer**: Compare datasets for consistency
- **SchemaDetector**: Automatic schema detection and validation
- **DateFormatStandardizer**: Standardize date formats across datasets
- **DictionaryCleaner**: Clean and validate dictionary files
### Quality Control
- **DictionaryDrivenChecker**: Validation using predefined dictionaries
- **DictionaryValidator**: Validate dictionary structures
- **MedVisitIntegrityValidator**: Validate medical visit data integrity
- **ScoreTotalsChecker**: Validate score calculations
- **FeatureChangeChecker**: Detect changes in data features
### Automation
- **RHQFormAutofiller**: Automated form filling for research questionnaires
- **DictionaryWorkflow**: Complete dictionary processing workflows
### Release Management
- **PyPIReleaseTool**: Automated PyPI package testing and release
- **GitWorkspaceTool**: Git repository management and operations
- **GitSubmoduleTool**: Git submodule synchronization and management
- **GenericReleaseTool**: Flexible release workflow orchestration
## 🔧 Development
### Installation for Development
```bash
# Clone the repository
git clone https://github.com/yourusername/scriptcraft-python.git
cd scriptcraft-python
# Install in development mode
pip install -e .
```
### Running Tests
```bash
# Run all tests
python -m pytest
# Run specific test categories
python -m pytest tests/unit/
python -m pytest tests/integration/
```
## 📚 Documentation
For comprehensive documentation, examples, and advanced usage:
- **Main Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)
- **Tool Documentation**: See individual tool README files
- **API Reference**: Available in the main workspace documentation
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guidelines](https://github.com/yourusername/ScriptCraft-Workspace/blob/main/CONTRIBUTING.md) for details.
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🆘 Support
- **Issues**: [GitHub Issues](https://github.com/yourusername/scriptcraft-python/issues)
- **Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)
- **Email**: scriptcraft@example.com
## 🙏 Acknowledgments
- Built for the Huntington's Disease research community
- Developed with support from research institutions
- Thanks to all contributors and users
---
**ScriptCraft Python Package** - Making research data processing easier, one tool at a time.
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"description": "# ScriptCraft Python Package\r\n\r\nA comprehensive Python package for data processing and quality control tools designed for research workflows, particularly in the field of Huntington's Disease research.\r\n\r\n## \ud83d\ude80 Features\r\n\r\n- **Data Processing Tools**: Automated data cleaning, validation, and transformation\r\n- **Quality Control**: Comprehensive validation frameworks with plugin support\r\n- **Research Workflows**: Specialized tools for clinical and biomarker data\r\n- **Release Management**: Automated PyPI and Git release workflows\r\n- **Pipeline Orchestration**: Multi-step workflow automation\r\n- **Extensible Architecture**: Plugin-based system for custom validations\r\n- **Cross-Platform**: Works on Windows, macOS, and Linux\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n```bash\r\npip install scriptcraft\r\n```\r\n\r\n## \ud83d\udee0\ufe0f Quick Start\r\n\r\n### Basic Usage\r\n\r\n```python\r\nimport scriptcraft\r\nimport scriptcraft.common as cu\r\n\r\n# Use common utilities\r\ndata = cu.load_data(\"your_data.csv\")\r\ncu.log_and_print(\"\u2705 Data loaded successfully\")\r\n```\r\n\r\n### Using Tools\r\n\r\n```python\r\n# Import tools directly\r\nfrom scriptcraft.tools.automated_labeler import AutomatedLabeler\r\nfrom scriptcraft.tools.data_content_comparer import DataContentComparer\r\n\r\n# Create and use tools\r\nlabeler = AutomatedLabeler()\r\ncomparer = DataContentComparer()\r\n\r\n# Run tools with arguments\r\nlabeler.run(\r\n input_paths=[\"data.csv\"],\r\n output_dir=\"output\",\r\n mode=\"labeling\"\r\n)\r\n```\r\n\r\n### CLI Usage\r\n\r\n```bash\r\n# List available tools and pipelines\r\nscriptcraft list\r\n\r\n# Run specific tools\r\nscriptcraft rhq_form_autofiller\r\nscriptcraft data_content_comparer\r\n\r\n# Run pipelines\r\nscriptcraft data_quality\r\nscriptcraft dictionary_pipeline\r\n\r\n# Use release management CLI\r\nscriptcraft-release pypi-test\r\nscriptcraft-release git-sync\r\nscriptcraft-release full-release\r\n\r\n# Use release manager directly (RECOMMENDED for version bumps)\r\npython -c \"from scriptcraft.tools.release_manager import ReleaseManager; ReleaseManager().run(mode='python_package', version_type='patch', auto_push=True)\"\r\n\r\n# Run specific tools via console scripts\r\nrhq-autofiller --help\r\ndata-comparer --help\r\nauto-labeler --help\r\nfunction-auditor --help\r\n\r\n# Or run tools directly\r\npython -m scriptcraft.tools.rhq_form_autofiller --help\r\npython -m scriptcraft.tools.data_content_comparer --help\r\n```\r\n\r\n## \ud83e\uddf0 Available Tools\r\n\r\n### Data Processing\r\n- **AutomatedLabeler**: Automated data labeling and classification\r\n- **DataContentComparer**: Compare datasets for consistency\r\n- **SchemaDetector**: Automatic schema detection and validation\r\n- **DateFormatStandardizer**: Standardize date formats across datasets\r\n- **DictionaryCleaner**: Clean and validate dictionary files\r\n\r\n### Quality Control\r\n- **DictionaryDrivenChecker**: Validation using predefined dictionaries\r\n- **DictionaryValidator**: Validate dictionary structures\r\n- **MedVisitIntegrityValidator**: Validate medical visit data integrity\r\n- **ScoreTotalsChecker**: Validate score calculations\r\n- **FeatureChangeChecker**: Detect changes in data features\r\n\r\n### Automation\r\n- **RHQFormAutofiller**: Automated form filling for research questionnaires\r\n- **DictionaryWorkflow**: Complete dictionary processing workflows\r\n\r\n### Release Management\r\n- **PyPIReleaseTool**: Automated PyPI package testing and release\r\n- **GitWorkspaceTool**: Git repository management and operations\r\n- **GitSubmoduleTool**: Git submodule synchronization and management\r\n- **GenericReleaseTool**: Flexible release workflow orchestration\r\n\r\n## \ud83d\udd27 Development\r\n\r\n### Installation for Development\r\n\r\n```bash\r\n# Clone the repository\r\ngit clone https://github.com/yourusername/scriptcraft-python.git\r\ncd scriptcraft-python\r\n\r\n# Install in development mode\r\npip install -e .\r\n```\r\n\r\n### Running Tests\r\n\r\n```bash\r\n# Run all tests\r\npython -m pytest\r\n\r\n# Run specific test categories\r\npython -m pytest tests/unit/\r\npython -m pytest tests/integration/\r\n```\r\n\r\n## \ud83d\udcda Documentation\r\n\r\nFor comprehensive documentation, examples, and advanced usage:\r\n\r\n- **Main Documentation**: [ScriptCraft Workspace](https://github.com/yourusername/ScriptCraft-Workspace)\r\n- **Tool Documentation**: See individual tool README files\r\n- **API Reference**: Available in the main workspace documentation\r\n\r\n## \ud83e\udd1d Contributing\r\n\r\nWe welcome contributions! 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