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Changelog

Source: NEWS.md

peruopen 0.0.0.9000

New Features

  • Complete data catalog access: po_catalog() provides access to 3,954+ datasets and 10,000+ resources from Peru’s open data portal
  • Smart search functionality: po_search() enables flexible searching across datasets with support for:
    • Full-text search across titles, descriptions, and metadata
    • Filtering by organizations, formats, and tags
    • Tag-only search mode
  • Interactive data exploration: po_explore() offers structured views of the catalog organized by:
    • Publishing organizations
    • File formats
    • Publication years
    • File sizes
    • Recent updates
  • Intelligent data downloads: po_get() provides smart data access with:
    • Automatic best format selection
    • Support for multiple resources
    • Local file saving with original names
    • Encoding detection for Spanish characters
  • Beautiful console output: Enhanced print methods with color-coded information for easy data browsing
  • Robust caching system: Automatic caching of catalog data and resources for improved performance
  • Comprehensive metadata access: Full access to dataset and resource metadata including:
    • Organization information
    • Creation and modification dates
    • File formats and sizes
    • Descriptions and tags

API Coverage

  • Core CKAN endpoints: Support for package_list, package_show, resource_show, group_list, and current_package_list_with_resources
  • Pagination support: Efficient handling of large datasets through intelligent chunked loading
  • Error handling: Robust retry logic and graceful degradation for API reliability

Data Processing

  • Multiple format support: CSV, Excel (XLS/XLSX), JSON, PDF, and ZIP files
  • Smart encoding detection: Automatic handling of Spanish characters with support for UTF-8, Latin1, Windows-1252, and ISO-8859-1 encodings
  • Clean data output: Optional column name cleaning for R compatibility

Performance Features

  • Intelligent caching: 6-hour cache TTL for catalog data with cache management functions
  • Efficient API usage: Optimized API calls with appropriate delays and batch sizing
  • Memory management: Streamlined data structures for large datasets

This is the initial release providing comprehensive access to Peru’s open data ecosystem.