Metadata-Version: 2.2
Name: textract-form-parser
Version: 0.1.4
Summary: A Python library for parsing AWS Textract form output
Home-page: https://github.com/yogeshvar/text-extractor
Author: Yogeshvar Senthilkumar
Author-email: yogeshvar@icloud.com
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
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Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.19.0
Requires-Dist: requests>=2.25.0
Requires-Dist: packaging>=20.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: black>=22.0.0; extra == "dev"
Requires-Dist: isort>=5.0.0; extra == "dev"
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Requires-Dist: commitizen>=3.13.0; extra == "dev"
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# Textract Form Parser

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A Python library for parsing AWS Textract form output. This library helps process and analyze form data extracted by AWS Textract, generating structured outputs and reports.

## Features

- Parse AWS Textract JSON output
- Extract form fields and tables
- Generate HTML reports
- Create concise and verbose outputs
- Command-line interface
- Logging and debugging support

## Installation

```bash
pip install textract-form-parser
```

## Usage

### As a Library

```python
from textract_parser import analyze_document, generate_html_report, create_concise_results

# Load your Textract JSON
with open("notebook.json", "r") as f:
    textract_json = json.load(f)

# Analyze document
analysis_results = analyze_document(textract_json)

# Generate HTML report
generate_html_report(analysis_results, "report.html")

# Get concise results
concise_results = create_concise_results(analysis_results)
```

### Command Line Interface

```bash
# Basic usage
textract-parser input.json -o output

# With verbose logging
textract-parser input.json -o output -v
```

## Development

### Setup

1. Clone the repository:
```bash
git clone https://github.com/yogeshvar/text-extractor.git
cd text-extractor
```

2. Create and activate virtual environment:
```bash
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
```

3. Install development dependencies:
```bash
pip install -e ".[dev]"
```

4. Install pre-commit hooks:
```bash
pre-commit install
```

### Code Formatting

Format code using the provided script:
```bash
./scripts/format.sh
```

This will:
- Fix end of files
- Fix trailing whitespace
- Run Black formatter
- Sort imports with isort
- Stage formatted files

### Testing

Run tests with coverage:
```bash
pytest --cov=textract_parser \
      --cov-report=term-missing \
      --html=test-results/report.html \
      --self-contained-html \
      -v
```

### Commit Guidelines

We use conventional commits. Format:
```
<type>: <description>

[optional body]
[optional footer(s)]
```

Types:
- `feat`: New feature
- `fix`: Bug fix
- `enhance`: Enhancement
- `docs`: Documentation
- `style`: Code style
- `refactor`: Code refactoring
- `test`: Testing
- `chore`: Maintenance

### Release Process

1. Create a PR from your feature branch to master
2. Ensure all tests pass
3. Update version in:
   - `setup.py`
   - `textract_parser/__init__.py`
   - `pyproject.toml`
4. Merge PR to master
5. GitHub Actions will automatically:
   - Run tests
   - Create a new tag
   - Generate release notes
   - Create GitHub release
   - Publish to PyPI

## License

MIT License - see [LICENSE](LICENSE) for details

## Contributing

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Format code (`./scripts/format.sh`)
4. Commit changes (`git commit -m 'feat: add amazing feature'`)
5. Push to branch (`git push origin feature/amazing-feature`)
6. Open a Pull Request

## Authors

- Yogeshvar Senthilkumar - [yogeshvar@icloud.com](mailto:yogeshvar@icloud.com)
