2858e0a344
Features: - Vector search with Pinecone + Vertex AI embeddings - Document relationships (link, unlink, related, graph) - Auto-link with LLM analysis - Intelligent merge with Gemini Modular structure: - clients/: Pinecone, Vertex AI - tools/: core, relations, stats - utils/: validation, logging Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
31 lines
702 B
Python
31 lines
702 B
Python
"""Logging configuration for RAG system."""
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import logging
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import sys
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def setup_logging(level: str = "INFO") -> None:
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"""
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Setup logging configuration.
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Args:
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level: Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
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"""
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logging.basicConfig(
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level=getattr(logging, level.upper(), logging.INFO),
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.StreamHandler(sys.stdout)
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]
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)
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def get_logger(name: str) -> logging.Logger:
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"""
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Get logger instance.
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Args:
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name: Logger name (usually __name__)
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Returns:
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Logger instance
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"""
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return logging.getLogger(name)
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