ac7467f0b4
- Added comprehensive AI Assistant system (aiassist/ directory): * Vector search and embedding capabilities * Typebot proxy integration * Elastic search functionality * Message classification and chat history * MCP proxy for external integrations - Implemented Court Status API (GetCourtStatus.php): * Real-time court document status checking * Integration with external court systems * Comprehensive error handling and logging - Enhanced S3 integration: * Improved file backup system with metadata * Batch processing capabilities * Enhanced error logging and recovery * Copy operations with URL fixing - Added Telegram contact creation API - Improved error logging across all modules - Enhanced callback system for AI responses - Extensive backup file storage with timestamps - Updated documentation and README files - File storage improvements: * Thousands of backup files with proper metadata * Fix operations for broken file references * Project-specific backup and recovery systems * Comprehensive file integrity checking Total: 26,461+ files added/modified including AWS SDK, vendor dependencies, and extensive backup system.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
#!/usr/bin/env python3
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import sys
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import json
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from natasha import NamesExtractor, MorphVocab, Doc
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morph_vocab = MorphVocab()
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def extract_entities(text):
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doc = Doc(text)
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names_extractor = NamesExtractor(morph_vocab)
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matches = list(names_extractor(text))
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if len(matches) >= 1:
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истец = matches[0].fact.first if matches[0].fact.first else 'Не определено'
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else:
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истец = 'Не определено'
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if len(matches) >= 2:
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ответчик = matches[1].fact.first if matches[1].fact.first else 'Не определено'
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else:
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ответчик = 'Не определено'
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суть_спора = text[:100] if text else 'Не определено'
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return {
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"истец": истец,
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"ответчик": ответчик,
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"суть_спора": суть_спора
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}
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if __name__ == '__main__':
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if len(sys.argv) < 2:
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print(json.dumps({
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"истец": "Не определено",
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"ответчик": "Не определено",
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"суть_спора": "Не определено"
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}, ensure_ascii=False))
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sys.exit(0)
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input_text = " ".join(sys.argv[1:])
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entities = extract_entities(input_text)
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print(json.dumps(entities, ensure_ascii=False))
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