oscapify 0.1.1

A robust tool for converting scientific literature CSV files to OSCAP-compatible format

Oscapify

A robust tool for converting scientific literature CSV files to OSCAP-compatible format. Oscapify processes neuroscience connectivity data from PubMed/PMC sources, validates headers, retrieves DOIs, and handles errors gracefully.

Features

• Intelligent Header Validation: Automatically detects and corrects common header issues
• Flexible Header Mapping: Support for custom column names and formats
• DOI Retrieval: Fetches DOIs from NCBI API with built-in caching
• Error Recovery: Continues processing even when individual records fail
• Detailed Debugging: Comprehensive logging and header analysis tools
• Batch Processing: Process multiple files or entire directories
• Performance: Persistent caching and efficient batch operations

Installation

pip install oscapify

Development Installation

git clone https://github.com/yourusername/oscapify.git
cd oscapify
pip install -e ".[dev]"

Quick Start

Basic Usage

# Process a single file
oscapify process input.csv

# Process multiple files
oscapify process file1.csv file2.csv

# Process all CSV files in a directory
oscapify process /path/to/csv/directory/

# Specify output directory
oscapify process input.csv --output ./results

Header Validation and Debugging

# Validate CSV headers and see debugging info
oscapify validate input.csv

# Get header mapping suggestions
oscapify validate input.csv --suggest-mappings

Custom Header Mapping

If your CSV files use different column names:

oscapify process input.csv \
  --header-pmid "PubMedID" \
  --header-sentence "text" \
  --preserve-fields "custom_field1" "custom_field2"

Expected Input Format

Oscapify expects CSV files with the following columns (case-insensitive):

• pmid - PubMed ID
• sentence - Text content
• pmcid (optional) - PubMed Central ID
• pubmed_url (optional) - URL to PubMed/PMC article

Additional columns are preserved in the output.

Example Input CSV

ID,pmid,pmcid,sentence,structure_1,structure_2,relation,score,pubmed_url
1,12345678,PMC1234567,"The brain connects to the spinal cord.",brain,spinal cord,connects,0.95,https://pubmed.ncbi.nlm.nih.gov/12345678/

Output Format

Oscapify outputs CSV files with OSCAP-compatible formatting:

• id - Unique identifier (format: nlp-{index}-{date})
• pmid - PubMed ID
• pmcid - PubMed Central ID
• doi - Digital Object Identifier (retrieved from NCBI)
• sentence - Original text
• batch_name - Processing batch identifier
• sentence_id - Sentence identifier
• out_of_scope - "yes" if DOI couldn't be retrieved, "no" otherwise

Advanced Features

Cache Management

# View cache statistics
oscapify cache-stats

# Clear the DOI cache
oscapify clear-cache

Error Handling Options

# Stop on first error (strict mode)
oscapify process input.csv --strict

# Disable caching for testing
oscapify process input.csv --no-cache

# Skip header validation
oscapify process input.csv --no-validation

Debug Mode

# Enable detailed debug logging
oscapify process input.csv --debug

Python API

from oscapify import OscapifyProcessor
from oscapify.models import ProcessingConfig

# Create configuration
config = ProcessingConfig(
    output_dir="./output",
    batch_name="my_batch"
)

# Process files
processor = OscapifyProcessor(config)
stats = processor.process_files(["input1.csv", "input2.csv"])

# Check results
print(f"Processed {stats.processed_files} files")
print(f"Total records: {stats.total_records}")
print(f"DOI lookups: {stats.successful_doi_lookups} successful, {stats.failed_doi_lookups} failed")

Configuration

Custom Header Mapping via API

from oscapify.models import HeaderMapping, ProcessingConfig

# Define custom mapping
header_mapping = HeaderMapping(
    pmid="PubMedID",
    sentence="abstract_text",
    pmcid="PMC_ID",
    preserve_fields=["experiment_type", "confidence_score"]
)

config = ProcessingConfig(
    header_mapping=header_mapping
)

Troubleshooting

Common Issues

1. Missing Headers Error

   # Check what headers are in your file
   oscapify validate problematic.csv
   
   # Use suggested mappings
   oscapify validate problematic.csv --suggest-mappings
   

2. DOI Retrieval Failures

   • Check your internet connection
   • The tool implements rate limiting (3 requests/second) for NCBI API compliance

3. Encoding Errors

   • Oscapify automatically tries multiple encodings
   • If issues persist, convert your CSV to UTF-8

Getting Help

# View all commands and options
oscapify --help

# View help for specific command
oscapify process --help

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Citation

If you use Oscapify in your research, please cite:

@software{oscapify,
  author = {Troy Sincomb},
  title = {Oscapify: A tool for converting scientific literature CSV files to OSCAP format},
  year = {2025},
  url = {https://github.com/yourusername/oscapify}
}

Acknowledgments

• Uses the NCBI E-utilities API for DOI retrieval
• Built with Click for CLI interface
• Pandas for data processing
• Pydantic for data validation