Python Library v1.0.0: terraphim-automata

🐍 terraphim-automata Python Library v1.0.0

The first Python release of Terraphim AI's high-performance autocomplete and text processing library!

✨ What's Included

• Fast Autocomplete: FST-based prefix search with configurable results
• Fuzzy Search: Jaro-Winkler and Levenshtein similarity algorithms
• Text Processing: Term matching, link replacement, paragraph extraction
• Knowledge Graph: Thesaurus management and graph operations
• TypeScript Support: Comprehensive type definitions for IDE integration

🚀 Installation

pip install terraphim-automata

📚 Quick Start

from terraphim_automata import build_index, AutocompleteIndex

# Create a thesaurus
thesaurus_json = '''
{
    "name": "Engineering",
    "data": {
        "machine learning": {
            "id": 1,
            "nterm": "machine learning",
            "url": "https://example.com/ml"
        }
    }
}
'''

# Build autocomplete index
index = build_index(thesaurus_json)

# Search for completions
results = index.search("mach")
for result in results:
    print(f"{result.term} (score: {result.score})")

🔧 Features

• High Performance: Rust-backed implementation with FST for O(1) prefix searches
• Comprehensive API: 59 passing tests with full functionality coverage
• Multiple Search Types: Exact prefix, fuzzy search, and text processing
• Knowledge Graph Support: Complete thesaurus and graph operations
• Cross-Platform: Python 3.9+ support on all major platforms

📊 Test Coverage

• 59/59 tests passing (100% for core functionality)
• 3 working examples included
• TypeScript definitions for IDE support
• Comprehensive documentation

🎯 Use Cases

• Autocomplete systems for applications
• Text processing and search engines
• Knowledge graph navigation
• Content management systems
• NLP and semantic search applications

Built with ❤️ using PyO3 and maturin

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This release includes all the functionality from terraphim_automata v1.0.0 (Rust) with Python bindings.